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Sample records for mattress set based

  1. Manual cleaning of hospital mattresses: an observational study comparing high- and low-resource settings.

    Science.gov (United States)

    Hopman, J; Hakizimana, B; Meintjes, W A J; Nillessen, M; de Both, E; Voss, A; Mehtar, S

    2016-01-01

    Hospital-associated infections (HAIs) are more frequently encountered in low- than in high-resource settings. There is a need to identify and implement feasible and sustainable approaches to strengthen HAI prevention in low-resource settings. To evaluate the biological contamination of routinely cleaned mattresses in both high- and low-resource settings. In this two-stage observational study, routine manual bed cleaning was evaluated at two university hospitals using adenosine triphosphate (ATP). Standardized training of cleaning personnel was achieved in both high- and low-resource settings. Qualitative analysis of the cleaning process was performed to identify predictors of cleaning outcome in low-resource settings. Mattresses in low-resource settings were highly contaminated prior to cleaning. Cleaning significantly reduced biological contamination of mattresses in low-resource settings (P cleaning in both the high- and low-resource settings seemed comparable. Cleaning with appropriate type of cleaning materials reduced the contamination of mattresses adequately. Predictors for mattresses that remained contaminated in a low-resource setting included: type of product used, type of ward, training, and the level of contamination prior to cleaning. In low-resource settings mattresses were highly contaminated as noted by ATP levels. Routine manual cleaning by trained staff can be as effective in a low-resource setting as in a high-resource setting. We recommend a multi-modal cleaning strategy that consists of training of domestic services staff, availability of adequate time to clean beds between patients, and application of the correct type of cleaning products. Copyright © 2015 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

  2. 16 CFR Figure 8 to Part 1633 - Jig for Setting Mattresses and Foundation Sides in Same Plane

    Science.gov (United States)

    2010-01-01

    ... 16 Commercial Practices 2 2010-01-01 2010-01-01 false Jig for Setting Mattresses and Foundation Sides in Same Plane 8 Figure 8 to Part 1633 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION.... 8 Figure 8 to Part 1633—Jig for Setting Mattresses and Foundation Sides in Same Plane ER15MR06.007 ...

  3. Trial of a novel plasma gas disinfection system (Radica) to reduce mattress residual bacterial contamination in the acute hospital setting: a preliminary study.

    Science.gov (United States)

    Shiely, F; Fallon, D; Casey, C; Kerins, D M; Eustace, J A

    2017-02-01

    In routine clinical practice, mattresses are manually cleaned using specialised cleaning and high-level disinfecting fluids. While effective against a wide range of organisms, the success of this approach is dependent on a thorough and complete application and is likely to be susceptible to human error and thus variable. The efficacy of available infection control measures to reduce such mattress contamination is unknown as it is not subject to quality control measures. There is a pressing need to identify more effective methods to prevent cross contamination within the medical environment, given the lack of available treatment strategies. The purpose of this study is to investigate the ability of a new technology, gaseous technology, to reduce colonization levels, compared to standard cleaning, and so attenuate superficial nosocomial infections. We conducted a prospective, single-centre, open-label, non-randomized trial with blinded outcome assessments, comparing the standard cleaning of hospital mattresses with a novel plasma based disinfection system Radica™, followed by a standard post-cleaning culturing protocol (five swabs/mattress). The median (interquartile range) maximal colony count per mattress for the 20 Radica versus 7 routinely cleaned mattresses was 1 (1-2.7) versus Too-Numerous-to-Count (TNTC) (32-TNTC), respectively, p = 0.002. Of the 20 Radica™ treated mattresses, 12 (60 %) had no positive culture result while all of the standard cleaned mattresses had at least two positive cultures. The plasma based Radica disinfection system reduces mattress bacterial colonization levels as compared to routine cleaning. This is a potentially important technology in the health care system to reduce surface colonisation and hence nosocomial infections.

  4. Manual cleaning of hospital mattresses: an observational study comparing high- and low-resource settings

    NARCIS (Netherlands)

    Hopman, J.; Hakizimana, B.; Meintjes, W.A.; Nillessen, M.; Both, E. de; Voss, A.; Mehtar, S.

    2016-01-01

    BACKGROUND: Hospital-associated infections (HAIs) are more frequently encountered in low- than in high-resource settings. There is a need to identify and implement feasible and sustainable approaches to strengthen HAI prevention in low-resource settings. AIM: To evaluate the biological contamination

  5. An Enhanced Sensing Application Based on a Flexible Projected Capacitive-Sensing Mattress

    Directory of Open Access Journals (Sweden)

    Wen-Ying Chang

    2014-04-01

    Full Text Available This paper presents a cost-effective sensor system for mattresses that can classify the sleeping posture of an individual and prevent pressure ulcers. This system applies projected capacitive sensing to the field of health care. The charge time (CT method was used to sensitively and accurately measure the capacitance of the projected electrodes. The required characteristics of the projected capacitor were identified to develop large-area applications for sensory mattresses. The area of the electrodes, the use of shielding, and the increased length of the transmission line were calibrated to more accurately measure the capacitance of the electrodes in large-size applications. To offer the users comfort in the prone position, a flexible substrate was selected and covered with 16 × 20 electrodes. Compared with the static charge sensitive bed (SCSB, our proposed system-flexible projected capacitive-sensing mattress (FPCSM comes with more electrodes to increase the resolution of posture identification. As for the body pressure system (BPS, the FPCSM has advantages such as lower cost, higher aging-resistance capability, and the ability to sense the capacitance of the covered regions without physical contact. The proposed guard ring design effectively absorbs the noise and interrupts leakage paths. The projected capacitive electrode is suitable for proximity-sensing applications and succeeds at quickly recognizing the sleeping pattern of the user.

  6. The provision of therapy mattresses for pressure ulcer prevention.

    Science.gov (United States)

    Pagnamenta, Fania

    2017-03-23

    Preventing pressure ulcers is complex and involves skin care, the provision of therapy mattresses, repositioning, the management of incontinence and adequate nutritional support. This article describes a model of therapy mattress provision that is based on non-powered products. Evaluating the efficiency of this model is challenging, due to the complexities of care, but Safety Thermometer data and incidents reports offer reassurance that non-powered therapy mattresses can provide adequate pressure ulcer prevention. Therapy mattress provision is only one of the five interventions and these are described in details to give readers a fuller picture of the model used at the author's trust.

  7. The impact of compliant surfaces on in-hospital chest compressions: effects of common mattresses and a backboard.

    NARCIS (Netherlands)

    Noordergraaf, G.J.; Paulussen, I.W.; Venema, A.; Berkom, P.F. van; Woerlee, P.H.; Scheffer, G.J.; Noordergraaf, A.

    2009-01-01

    PURPOSE: To evaluate, in a hospital setting, the influence of different, common mattresses, with and without a backboard, on chest movement during CPR. DESIGN AND SETTING: Sixty CPR sessions (140s each, 30:2, C:R ratio 1:1) were performed using a manikin on standard hospital mattresses, with or

  8. 21 CFR 880.5560 - Temperature regulated water mattress.

    Science.gov (United States)

    2010-04-01

    ... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Temperature regulated water mattress. 880.5560... Therapeutic Devices § 880.5560 Temperature regulated water mattress. (a) Identification. A temperature regulated water mattress is a device intended for medical purposes that consists of a mattress of suitable...

  9. Microcontrolled air-mattress for ulcer by pressure prevention

    Science.gov (United States)

    Pasluosta, Cristian F.; Fontana, Juan M.; Beltramone, Diego A.; Taborda, Ricardo A. M.

    2007-11-01

    An ulcer by pressure is produced when a constant pressure is exerted over the skin. This generates the collapse of the blood vessels and, therefore, a lack in the contribution of the necessary nutrients for the affected zone. As a consequence, the skin deteriorates, eventually causing an ulcer. In order to prevent it, a protocol must be applied to the patient, which is reflected on time and cost of treatment. There are some air mattresses available for this purpose, but whose performance does not fulfill all requirements. The prototype designed in our laboratory is based on the principle of the air mattress. Its objective is to improve on existing technologies and, due to an increased automation, reduce time dedication for personnel in charge of the patient. A clinical experience was made in the local Emergencies Hospital and also in an institution dedicated to aged patients care. In both cases, the results obtained and the comments from the personnel involved were favorable.

  10. Microcontrolled air-mattress for ulcer by pressure prevention

    International Nuclear Information System (INIS)

    Pasluosta, Cristian F; Fontana, Juan M; Beltramone, Diego A; Taborda, Ricardo A M

    2007-01-01

    An ulcer by pressure is produced when a constant pressure is exerted over the skin. This generates the collapse of the blood vessels and, therefore, a lack in the contribution of the necessary nutrients for the affected zone. As a consequence, the skin deteriorates, eventually causing an ulcer. In order to prevent it, a protocol must be applied to the patient, which is reflected on time and cost of treatment. There are some air mattresses available for this purpose, but whose performance does not fulfill all requirements. The prototype designed in our laboratory is based on the principle of the air mattress. Its objective is to improve on existing technologies and, due to an increased automation, reduce time dedication for personnel in charge of the patient. A clinical experience was made in the local Emergencies Hospital and also in an institution dedicated to aged patients care. In both cases, the results obtained and the comments from the personnel involved were favorable

  11. Microcontrolled air-mattress for ulcer by pressure prevention

    Energy Technology Data Exchange (ETDEWEB)

    Pasluosta, Cristian F; Fontana, Juan M; Beltramone, Diego A; Taborda, Ricardo A M [Universidad Nacional de Cordoba. Cordoba (Argentina)

    2007-11-15

    An ulcer by pressure is produced when a constant pressure is exerted over the skin. This generates the collapse of the blood vessels and, therefore, a lack in the contribution of the necessary nutrients for the affected zone. As a consequence, the skin deteriorates, eventually causing an ulcer. In order to prevent it, a protocol must be applied to the patient, which is reflected on time and cost of treatment. There are some air mattresses available for this purpose, but whose performance does not fulfill all requirements. The prototype designed in our laboratory is based on the principle of the air mattress. Its objective is to improve on existing technologies and, due to an increased automation, reduce time dedication for personnel in charge of the patient. A clinical experience was made in the local Emergencies Hospital and also in an institution dedicated to aged patients care. In both cases, the results obtained and the comments from the personnel involved were favorable.

  12. 16 CFR 1632.5 - Mattress pad test procedure.

    Science.gov (United States)

    2010-01-01

    ... 1632.5 Commercial Practices CONSUMER PRODUCT SAFETY COMMISSION FLAMMABLE FABRICS ACT REGULATIONS... substrate. (b) Flame resistant mattress pads. The following additional requirements shall be applicable to mattress pads which contain a chemical fire retardant. (1) These mattress pads shall be tested in...

  13. Esprit HR mattress cover in pressure ulcer prevention.

    Science.gov (United States)

    Khoulowa, J

    Modern mattresses provide soft dense foam, which permits the redistribution of pressure on the patient over a wider area - away from bony prominences where pressure ulcers usually occur. The material used in producing multistretch covers for the new mattresses had a tendency to delaminate as a result of a combination of heat, moisture and inappropriate cleansing techniques causing the water barriers to fall. In partnership with York Health NHS Trust and the material manufacturer, STM Healthcare produced a mattress cover (Esprit HR) which was able to withstand higher pressure from heat and moisture and greatly extended the life expectancy of the Esprit HR mattress.

  14. 16 CFR 1632.4 - Mattress test procedure.

    Science.gov (United States)

    2010-01-01

    ... position at a reasonable height for making observations. (ii) If thin flexible mattresses or mattress pads... relative humidity measuring instrument, a thin rod, straight pins, a knife or scissors, and tongs are... (from water bottle), cut around the burning material with a knife or scissors and pull the material out...

  15. 21 CFR 880.5550 - Alternating pressure air flotation mattress.

    Science.gov (United States)

    2010-04-01

    ... body pressure. The device is used to prevent and treat decubitus ulcers (bed sores). (b) Classification... 21 Food and Drugs 8 2010-04-01 2010-04-01 false Alternating pressure air flotation mattress. 880... Personal Use Therapeutic Devices § 880.5550 Alternating pressure air flotation mattress. (a) Identification...

  16. Mapping Emplaced Articulated Concrete Mattress Using Geoelectrical and Electromagnetic Techniques

    National Research Council Canada - National Science Library

    Sjostrom, Keith

    1998-01-01

    Articulated concrete mattresses (ACM) are structures placed parallel to the river current for the purpose of stabilizing the concave banks in river bends, reduce the effects of erosion, and maintain the river channel...

  17. Conceptontwerp nieuwe slaapmatten (Concept Design of Sleeping Mattresses)

    Science.gov (United States)

    2008-11-01

    Datum november 2008 Auteur (s) drs. P.A. Reffeltrath ing. M.G. Brandsma M.G.M. Weghorst Rubricering rapport Ongerubriceerd TK9 TNO-rapport...slaapmatten in combinatie met de gegevens van objectieve metingen. In theorie maakt het conceptontwerp het mogelijk om tegen minder gewicht en pakvolume...making a mattress that is lighter, has less packing volume, is more comfortable and more durable than the currently available mattresses. In theory

  18. The Impact of Legislation on Gas Can- and Mattress-Related Burn Injuries.

    Science.gov (United States)

    Kellogg, Levi; Butcher, Brandon; Peek-Asa, Corinne; Wibbenmeyer, Lucy

    2018-01-01

    Burn prevention program success requires thorough evaluation of intervention outcomes. The impact of 2 engineering-specific burn prevention regulations, the Children's Gasoline Burn Prevention Act and the Standard for the Flammability of Mattress Sets, will be assessed. Records from 1997 to 2015 within the Consumer Product Safety Commission's (CPSC) National Electronic Injury Surveillance System (NEISS) were reviewed. After identifying gas can- and mattress-involved burn injuries, injury incidence was estimated by utilizing survey sampling weights associated with each record. Logistic regression, incorporating estimated injury incidence and adjusting for gender and age, was performed to test for change in injury risk following these regulations. Within NEISS, there were 493 burns involving gas cans, yielding an estimated 19,339 injuries (95% confidence interval [CI], 15,781-22,896) during the 19-year study period. The odds of a gas can burn injury after legislation decreased by 67% for children younger than 5 years (odds ratio [OR], 0.33; 95% CI, 0.16-0.66; P = 0.0018). There was no significant change in risk for persons 5 years and older (OR, 1.07; 95% CI, 0.80-1.41; P = 0.66). During the same time, there were 219 NEISS burns involving mattresses, yielding an estimated 6864 injuries (95% CI, 5071-8658). The odds of a mattress burn injury following legislation enactment decreased by 31% for all ages (OR, 0.69; 95% CI, 0.51-0.94; P = 0.02). Both regulations decreased the odds of injury in their target populations. This study demonstrates that passive interventions involving engineering standards remain a powerful tool for burn prevention and should be the focus of future efforts to improve burn care.

  19. The effect of human-mattress interface's temperature on perceived thermal comfort.

    Science.gov (United States)

    Califano, R; Naddeo, A; Vink, P

    2017-01-01

    In recent years, methods that allow for an objective evaluation of perceived comfort, in terms of postural, physiological, cognitive and environmental comfort, have received a great deal of attention from researchers. This paper focuses on one of the factors that influences physiological comfort perception: the temperature difference between users and the objects with which they interact. The first aim is to create a measuring system that does not affect the perceived comfort during the temperatures' acquisition. The main aim is to evaluate how the temperature at the human-mattress interface can affect the level of perceived comfort. A foam mattress has been used for testing in order to take into account the entire back part of the human body. The temperature at the interface was registered by fourteen 100 Ohm Platinum RTDs (Resistance Temperature Detectors) placed on the mattress under the trunk, the shoulders, the buttocks, the legs, the thighs, the arms and the forearms of the test subject. 29 subjects participated in a comfort test in a humidity controlled environment. The test protocol involved: dress-code, anthropometric-based positioning on mattress, environment temperature measuring and an acclimatization time before the test. At the end of each test, each of the test subject's thermal sensations and the level of comfort perception were evaluated using the ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers) scale. The data analyses concerned, in the first instance, correlations between the temperature at the interface and comfort levels of the different parts of the body. Then the same analyses were performed independently of the body parts being considered. The results demonstrated that there was no strong correlation among the studied variables and that the total increase of temperature at interface is associated with a reduction in comfort. Copyright © 2016 Elsevier Ltd. All rights reserved.

  20. Pyroglyphid mites, xerophilic fungi and allergenic activity in dust from hospital mattresses.

    Science.gov (United States)

    v d Lustgraaf, B; Jorde, W

    1977-12-01

    Dust from mattresses of different composition and age was analysed for mites, xerophilic fungi and allergenic activity. The mites of the genus Demodex were the most abundant (58.2 per cent). Also pyroglyphid mites occurred commonly (36.6 per cent). Pyroglyphid mites were present in small numbers (mean: 1 specimen/0.2 g of dust) in 12 out of the 17 older polyester-foam mattresses. The 11 cotton-horsechair mattresses and the newly used polyester-foam mattresses (three tested) were without them. The dust from the cotton-horsehair mattresses had a significantly higher allergenic activity than from those of polyester-foam. Xerophilic fungi were isolated in three out of 31 mattresses. The species isolated belonged to the genus Aspergillus and Eurotium. E. repens occurred most frequently. Disinfection of mattresses was suggested to have a negative influence on the occurrence of mites and fungi.

  1. Rough set classification based on quantum logic

    Science.gov (United States)

    Hassan, Yasser F.

    2017-11-01

    By combining the advantages of quantum computing and soft computing, the paper shows that rough sets can be used with quantum logic for classification and recognition systems. We suggest the new definition of rough set theory as quantum logic theory. Rough approximations are essential elements in rough set theory, the quantum rough set model for set-valued data directly construct set approximation based on a kind of quantum similarity relation which is presented here. Theoretical analyses demonstrate that the new model for quantum rough sets has new type of decision rule with less redundancy which can be used to give accurate classification using principles of quantum superposition and non-linear quantum relations. To our knowledge, this is the first attempt aiming to define rough sets in representation of a quantum rather than logic or sets. The experiments on data-sets have demonstrated that the proposed model is more accuracy than the traditional rough sets in terms of finding optimal classifications.

  2. 16 CFR 1632.31 - Mattresses/mattress pads-labeling, recordkeeping, guaranties and “one of a kind” exemption.

    Science.gov (United States)

    2010-01-01

    ...) Products intended for one time use (see § 1632.5(b)(1)(i)) are not subject to the requirements of... description of each mattress or mattress pad prototype with an assigned prototype identification number. (2) Test results and details of each prototype test performed in accordance with § 1632.4 or § 1632.5...

  3. 75 FR 72944 - Third Party Testing for Certain Children's Products; Mattresses, Mattress Pads, and/or Mattress...

    Science.gov (United States)

    2010-11-29

    ...: Revisions to Terms of Acceptance of Children's Product Certifications Based on Third Party Conformity... under which it will accept certifications for children's products based on third party conformity..., requires that certification be based on testing of sufficient samples of the product, or samples that are...

  4. The Medial Stitch in Transosseous-Equivalent Rotator Cuff Repair: Vertical or Horizontal Mattress?

    Science.gov (United States)

    Montanez, Anthony; Makarewich, Christopher A; Burks, Robert T; Henninger, Heath B

    2016-09-01

    Despite advances in surgical technique, rotator cuff repair retears continue to occur at rates of 10%, 22%, and 57% for small, medium, and large tears, respectively. A common mode of failure in transosseous-equivalent rotator cuff repairs is tissue pullout of the medial mattress stitch. While the medial mattress stitch has been studied extensively, no studies have evaluated a vertical mattress pattern placed near the musculotendinous junction in comparison with a horizontal mattress pattern. Vertical mattress stitches will have higher load to failure and lower gapping compared with horizontal mattress stitches in a transosseous-equivalent rotator cuff repair. Controlled laboratory study. Double-row transosseous-equivalent rotator cuff repairs were performed in 9 pairs of human male cadaveric shoulders (mean age ± SD, 58 ± 10 years). One shoulder in each pair received a medial-row suture pattern using a vertical mattress stitch, and the contralateral shoulder received a horizontal mattress. Specimens were mounted in a materials testing machine and tested in uniaxial tensile deformation for cyclic loading (500 cycles at 1 Hz to 1.0 MPa of effective stress), followed by failure testing carried out at a rate of 1 mm/s. Construct gapping and applied loads were monitored continuously throughout the testing. Vertical mattress sutures were placed in 5 right and 4 left shoulders. Peak cyclic gapping did not differ between vertical (mean ± SD, 2.8 ± 1.1 mm) and horizontal mattress specimens (3.0 ± 1.2 mm) (P = .684). Vertical mattress sutures failed at higher loads compared with horizontal mattress sutures (568.9 ± 140.3 vs 451.1 ± 174.3 N; P = .025); however, there was no significant difference in failure displacement (8.0 ± 1.6 vs 6.0 ± 2.1 mm; P = .092). Failure stiffness did not differ between the suture patterns (P = .204). In transosseous-equivalent rotator cuff repairs near the musculotendinous junction, a vertical mattress suture used as the medial stitch

  5. The accumulation of dust mite allergens on mattresses made of different kinds of materials.

    Science.gov (United States)

    Visitsunthorn, Nualanong; Chirdjirapong, Varakorn; Pootong, Visanu; Jirapongsananuruk, Orathai; Pacharn, Punchama; Weeravejsukit, Sirirat; Mahakittikun, Vanna; Vichyanond, Pakit

    2010-01-01

    Different mattress materials may affect the accumulation of allergens. To compare the amount of group 1 dust mite allergens (Der p1 + Der f1) on mattresses made of different kinds of materials before and after use. Sixty new mattresses made of kapok, synthetic fiber, coconut fiber and sponge-like polyurethane, were placed in the house officers' dormitory at Siriraj hospital, Thailand. The dust samples were collected before (0), 1, 2, 3, 6, 9 and 12 months after the mattresses were used. Group 1 dust mite allergens were analyzed using two-site monoclonal antibody ELISA. Der f1 made up 86.7 % of group 1 allergens found in the matress dust. After the 2nd month, only the mean level in sponge-like polyurethane mattress was under 2 microg/g dust (sensitized level). At the 6th month, the mean levels were 13.1 in coconut, 21.7 in kapok and 17.3 microg/g dust in synthetic fiber, all of which were more than 10 microg/g dust (symptomatic level). At the 9th month, the level in sponge-like polyurethane mattress was increased to 11.2 microg/g. At 12th month the level in coconut fiber, sponge-like polyurethane synthetic fiber and kapok mattresses were 20.2, 22.4, 28.9 and 32.2 microg/g dust respectively. The accumulation rate in kapok and synthetic mattresses was significantly higher than coconut and sponge-like polyurethane mattresses. The mean level of group 1 mite allergens exceeded 10 microg/g dust after the 6th month of use in coconut fiber, kapok and synthetic fiber and at the 9th month in sponge-like polyurethane mattress.

  6. Fuzzy-set based contingency ranking

    International Nuclear Information System (INIS)

    Hsu, Y.Y.; Kuo, H.C.

    1992-01-01

    In this paper, a new approach based on fuzzy set theory is developed for contingency ranking of Taiwan power system. To examine whether a power system can remain in a secure and reliable operating state under contingency conditions, those contingency cases that will result in loss-of-load, loss-of generation, or islanding are first identified. Then 1P-1Q iteration of fast decoupled load flow is preformed to estimate post-contingent quantities (line flows, bus voltages) for other contingency cases. Based on system operators' past experience, each post-contingent quantity is assigned a degree of severity according to the potential damage that could be imposed on the power system by the quantity, should the contingency occurs. An approach based on fuzzy set theory is developed to deal with the imprecision of linguistic terms

  7. Route constraints model based on polychromatic sets

    Science.gov (United States)

    Yin, Xianjun; Cai, Chao; Wang, Houjun; Li, Dongwu

    2018-03-01

    With the development of unmanned aerial vehicle (UAV) technology, the fields of its application are constantly expanding. The mission planning of UAV is especially important, and the planning result directly influences whether the UAV can accomplish the task. In order to make the results of mission planning for unmanned aerial vehicle more realistic, it is necessary to consider not only the physical properties of the aircraft, but also the constraints among the various equipment on the UAV. However, constraints among the equipment of UAV are complex, and the equipment has strong diversity and variability, which makes these constraints difficult to be described. In order to solve the above problem, this paper, referring to the polychromatic sets theory used in the advanced manufacturing field to describe complex systems, presents a mission constraint model of UAV based on polychromatic sets.

  8. Geographical variation and the determinants of domestic endotoxin levels in mattress dust in Europe

    NARCIS (Netherlands)

    Chen, C.M.; Thiering, E.; Doekes, G.; Zock, J.P.; Bakolis, I.; Norbäck, D.; Sunyer, J.; Villani, S.; Verlato, G.; Täubel, M.; Jarvis, D.

    2012-01-01

    Endotoxin exposures have manifold effects on human health. The geographical variation and determinants of domestic endotoxin levels in Europe have not yet been extensively described. To investigate the geographical variation and determinants of domestic endotoxin concentrations in mattress dust in

  9. Warming preterm infants in the delivery room: polyethylene bags, exothermic mattresses or both?

    Science.gov (United States)

    McCarthy, Lisa K; O'Donnell, Colm P F

    2011-12-01

    To compare the admission temperature of infants treated with polyethylene bags alone to infants treated with exothermic mattresses in addition to bags in the delivery room. We prospectively studied infants born at bags at birth. Some infants were also placed on mattresses. Admission axillary temperatures were measured in all infants on admission to the neonatal intensive care. We compared the temperatures of infants treated with bags alone to those treated with mattresses and bags. We studied 43 infants: 15 were treated with bags while 28 were treated with a bag and mattress. Mean admission temperature was similar between the groups. Hypothermia and hyperthermia occurred more frequently in infants treated with a bag and mattress, and more infants treated with a bag had admission temperatures 36.5-37.5°C. The use of exothermic mattresses in addition to polyethylene bags, particularly in younger, smaller newborns, may result in more hypothermia and hyperthermia on admission. A randomised controlled trial is necessary to determine which strategy results in more infants having admission temperatures in the normal range. © 2011 The Author(s)/Acta Paediatrica © 2011 Foundation Acta Paediatrica.

  10. Pressure ulcer prevention and healing using alternating pressure mattress at home: the PARESTRY project.

    Science.gov (United States)

    Meaume, S; Marty, M

    2015-08-01

    Specialised pressure-relieving supports reduce or relieve the interface pressure between the skin and the support surface. The comparative effectiveness of dynamic support surfaces is debated. The aim of this study is to examine the impact of using an alternating pressure air mattress (APAM) on pressure ulcer (PU) incidence in patients receiving home-based care. A second aim was to determine the level of patient/family satisfaction with comfort and gain the views of the care team that used the APAM. The PARESTRY study was a prospective observational study conducted in patients with a high risk of PUs (Braden score prevention groups consisted of patients with no PU at baseline who were in bed for at least 20 hours a day. Patients at baseline with a category 3 or 4 PU or a category 1 or 2 PU in association with poor general health or end-of-life status were included in the secondary prevention group. All patients were laid on an APAM. The primary end point was the % of patients with a worsening skin condition in the pressure area (heel, sacrum, ischium) at day 90 or at the end of the study. The primary analysis was done on the full analysis set (patients included with at least a second assessment), using the last observation carried forward technique to handle missing data, at day 90. A 95% confidence interval was calculated. Analysis was performed on 92 patients (30 in primary prevention and 62 in secondary prevention). The average time spent in bed was 22.7 (SD 2.7) hours a day and 22.6 (SD 2.2) hours in the primary and secondary prevention groups, respectively. At baseline, in the secondary group, 77% of patients had a sacral PU, 63% a heel PU, 8% an ischial tuberosity PU and 45% a PU in another area, a number of patients having multiple PUs. In the primary prevention group, 63% (19/30) of patients dropped out of the study (5 were hospitalised, 9 died, 5 other causes). In the secondary prevention group, 61% (38/62) dropped out (7 were hospitalised, 23 died, 8

  11. Ontology-based geographic data set integration

    NARCIS (Netherlands)

    Uitermark, H.T.J.A.; Uitermark, Harry T.; Oosterom, Peter J.M.; Mars, Nicolaas; Molenaar, Martien; Molenaar, M.

    1999-01-01

    In order to develop a system to propagate updates we investigate the semantic and spatial relationships between independently produced geographic data sets of the same region (data set integration). The goal of this system is to reduce operator intervention in update operations between corresponding

  12. Design of a Novel Flexible Capacitive Sensing Mattress for Monitoring Sleeping Respiratory

    Directory of Open Access Journals (Sweden)

    Wen-Ying Chang

    2014-11-01

    Full Text Available In this paper, an algorithm to extract respiration signals using a flexible projected capacitive sensing mattress (FPCSM designed for personal health assessment is proposed. Unlike the interfaces of conventional measurement systems for poly-somnography (PSG and other alternative contemporary systems, the proposed FPCSM uses projected capacitive sensing capability that is not worn or attached to the body. The FPCSM is composed of a multi-electrode sensor array that can not only observe gestures and motion behaviors, but also enables the FPCSM to function as a respiration monitor during sleep using the proposed approach. To improve long-term monitoring when body movement is possible, the FPCSM enables the selection of data from the sensing array, and the FPCSM methodology selects the electrodes with the optimal signals after the application of a channel reduction algorithm that counts the reversals in the capacitive sensing signals as a quality indicator. The simple algorithm is implemented in the time domain. The FPCSM system is used in experimental tests and is simultaneously compared with a commercial PSG system for verification. Multiple synchronous measurements are performed from different locations of body contact, and parallel data sets are collected. The experimental comparison yields a correlation coefficient of 0.88 between FPCSM and PSG, demonstrating the feasibility of the system design.

  13. Food allergens in mattress dust in Norwegian homes - a potentially important source of allergen exposure.

    Science.gov (United States)

    Bertelsen, R J; Faeste, C K; Granum, B; Egaas, E; London, S J; Carlsen, K-H; Lødrup Carlsen, K C; Løvik, M

    2014-01-01

    Sensitization to food allergens and food allergic reactions are mostly caused by ingesting the allergen, but can also occur from exposure via the respiratory tract or the skin. Little is known about exposure to food allergens in the home environment. The objective of this study was firstly to describe the frequency of detection of allergens from fish, egg, milk, and peanut in mattress dust collected from homes of 13-year-old adolescents and secondly to identify home characteristics associated with the presence of food allergen contamination in dust. Food allergens were measured by dot blot analysis in mattress dust from 143 homes in Oslo, Norway. We analysed associations between home characteristics (collected by parental questionnaires and study technicians) and food allergens by multivariate regression models. Fish allergen was detected in 46%, peanut in 41%, milk in 39%, and egg allergen in 22% of the mattress dust samples; only three samples contained none of these allergens. All four food allergens were more frequently detected in mattresses in small dwellings (Food allergens occurred frequently in beds in Norwegian homes, with dwelling size and proximity of kitchen and bedroom as the most important determinants. Due to the amount of time children spent in the bedroom, mattress dust may be an important source of exposure to food allergens. © 2013 John Wiley & Sons Ltd.

  14. Does a foamy-block mattress system prevent pressure sores ? A prospective randomised clinical trial in 1729 patients.

    Science.gov (United States)

    Berthe, J V; Bustillo, A; Mélot, C; de Fontaine, S

    2007-01-01

    Pressure ulcers are a frequent complication of bed rest. The development of an efficient and low cost pressure relieving system for the prevention of bed-sores would be of considerable hospital health and economic interest. Our study was designed to determine the effectiveness in pressure-sore prevention of an interface pressure-decreasing mattress, the Kliniplot mattress, used in our institution since 1978. In a prospective randomised controlled 7-month clinical trial we compared the Kliniplot mattress with our standard hospital mattress in 1729 patients admitted to medical and surgical departments (neurology, cardiology, oncology-haematology, neurosurgery, thoracic surgery and orthopaedic surgery). Two groups (Klinipot mattress and standard hospital mattress) were monitored for the prevention of pressure sores. The patients were evaluated on a daily basis from their admission until the eventual occurrence of a bed-sore. Patients' characteristics and pressure-sore risk factors were similar at the baseline in both groups. Patients presenting with a pressure sore at the time of admission were excluded. Forty-two of the 1729 patients (2.4%) who entered the study developed at least one pressure sore. Twenty-one of the 657 patients (3.2%) nursed on the Kliniplot mattress, and 21 of the 1072 patients (1.9%) on the standard mattress developed bed-sores (p = 0.154). The median time for the occurrence of pressure sores was 31 days (range 6-87) with the Kliniplot mattress and 18 days (range 2 to 38) with the standard mattress (p sores using the modified Ek's scale were no different at the baseline between both groups (p = 0.764). The severity of the pressure sores was no different between both groups (p = 0.918). Our results show that the occurrence of pressure sores is not reduced but is delayed when patients are nursed on a Kliniplot pressure-decreasing mattress.

  15. A study of the behaviour of and the forces in a bed protecting mattress : The falling apron

    NARCIS (Netherlands)

    Vrijling, J.K.; Ravenstijn, P.

    2001-01-01

    In many cases the bottom around a structure that is exposed to current has to be protected by a mattress. The purpose of the mattress is to protect the soil besides the structure from erosion and scour, thus preserving the strength of the foundation of the structure. Examples are the bottom

  16. Evaluation of free-stall mattress bedding treatments to reduce mastitis bacterial growth

    Energy Technology Data Exchange (ETDEWEB)

    Kristula, M A; Dou, Z; Toth, J D; Smith, B I; Harvey, N; Sabo, M [University of Penn, Kennett Square, PA (United States)

    2008-05-15

    Bacterial counts were compared in free-stall mattresses and teat ends exposed to 5 treatments in a factorial study design on 1 dairy farm. Mattresses in five 30-cow groups were subjected to 1 of 5 bedding treatments every other day: 0.5 kg of hydrated limestone, 120 mL of commercial acidic conditioner, 1 kg of coal fly ash, 1 kg of kiln-dried wood shavings, and control (no bedding). Counts of coliforms, Klebsiella spp., Escherichia coli, and Streptococcus spp. were lowest on mattresses bedded with lime. Mattresses bedded with the commercial acidic conditioner had the next lowest counts for coliforms, Klebsiella spp., and Streptococcus spp. Wood shavings and the no-bedding control had the highest counts for coliform and Klebsiella spp. Compared with wood shavings or control, fly ash reduced the counts of coliforms, whereas for the other 3 bacterial groups, the reduction was not always significant. Streptococcus spp. counts were greatest in the control group and did not differ among the shavings and fly ash groups. Teat swab results indicated that hydrated lime was the only bedding treatment that significantly decreased the counts of both coliforms and Klebsiella spp. There were no differences in Streptococcus spp. numbers on the teats between any of the bedding treatments. Bacterial populations grew steadily on mattresses and were generally higher at 36 to 48 h than at 12 to 24 h, whereas bacterial populations on teats grew rapidly by 12 h and then remained constant. Hydrated lime was the only treatment that significantly reduced bacterial counts on both mattresses and teat ends, but it caused some skin irritation.

  17. Bedding on geotextile mattresses: how much is needed to improve cow comfort?

    Science.gov (United States)

    Tucker, C B; Weary, D M

    2004-09-01

    The objective of our study was to evaluate how the amount of sawdust bedding on mattresses affects dairy cattle behavior and preferences. Eleven nonlactating, multiparous cows were housed individually in pens with access to 3 free stalls. Each stall was fitted with a geotextile mattress covered with either 0, 1, or 7.5 kg of kiln-dried sawdust. The experiment began with 7 d of acclimatization to all 3 stalls. Cows were then allowed access to only 1 of the 3 stalls at a time, each for 3 d (restriction phase). At the end of this restriction phase, cows were allowed free access to all 3 stalls for 3 d (free-choice phase). Time spent lying and the number of lying bouts increased significantly with the amount of bedding, from 12.3 +/- 0.53 h lying and 8.5 +/- 0.62 bouts per 24 h on bare mattresses to 13.8 +/- 0.53 h lying and 10.0 +/- 0.62 bouts per 24 h on mattresses with 7.5 kg of sawdust. In addition, the animals spent less time standing with only the front hooves in the stalls when more sawdust was present. When allowed free access to all 3 options, all 11 animals spent a majority of their time lying and standing in the 7.5-kg option. In conclusion, cows preferred mattresses bedded with 7.5 kg of sawdust, on which they spent more time lying down and less time standing with only the front hooves in stalls. These results indicate that more sawdust bedding improves cow comfort in stalls with geotextile mattresses.

  18. Research on the relationship between the structural properties of bedding layer in spring mattress and sleep quality.

    Science.gov (United States)

    Shen, Liming; Chen, Yu-xia; Guo, Yong; Zhong, ShiLu; Fang, Fei; Zhao, Jing; Hu, Tian-Yi

    2012-01-01

    Mattress, as a sleep platform, its types and physical properties has an important effect on sleep quality and rest efficiency. In this paper, by subjective evaluations, analysis of sleeping behaviors and tests of depth of sleep, the relationship between characteristics of the bedding materials, the structure of mattress, sleep quality and sleep behaviors were studied. The results showed that: (1) Characteristics of the bedding materials and structure of spring mattress had a remarkable effect on sleep behaviors and sleep quality. An optimum combination of the bedding materials, the structure of mattress and its core could improve the overall comfort of mattress, thereby improving the depth of sleep and sleep quality. (2) Sleep behaviors had a close relationship with sleeping postures and sleep habits. The characteristics of sleep behaviors vary from person to person.

  19. Dermatophagoides pteronyssinus (Trouessart, 1897) in mattress and floor dust in a temperate climate (Acari : Pyroglyphidae)

    NARCIS (Netherlands)

    Bronswijk, van J.E.M.H.

    1973-01-01

    The arthropod fauna of mattress dust, bedroom dust and living-room dust was sampled during a 1-year period in a center for asthmatic children (near Nijmegen, The Netherlands) with the aid of a vacuum cleaner, Berlese funnels and a flotation method. Dermatophagoides pteronyssinus was most abundant;

  20. Effect of mattress and pillow encasings on children with asthma and house dust mite allergy

    DEFF Research Database (Denmark)

    Halken, Susanne; Høst, Arne; Niklassen, Ulla

    2003-01-01

    BACKGROUND: House dust mite (HDM) allergy is a frequent cause of allergic asthma in children. Reduction of exposure seems to be the most logical way to treat these patients. OBJECTIVE: Our aim was to investigate whether mattress and pillow encasings resulted in an effective long-term control of H...

  1. The primary factor for suture configuration at rotator cuff repair: Width of mattress or distance from tear edge

    Directory of Open Access Journals (Sweden)

    Onur Hapa

    2016-08-01

    Conclusion: Bite size from the edge of the tendon seems to be more important than the width of the mattress. The curve of the suture passing device may also have an effect on the strength of the suture tendon interface.

  2. Use of backboard and deflation improve quality of chest compression when cardiopulmonary resuscitation is performed on a typical air inflated mattress configuration.

    Science.gov (United States)

    Oh, Jaehoon; Kang, Hyunggoo; Chee, Youngjoon; Lim, Taeho; Song, Yeongtak; Cho, Youngsuk; Je, Sangmo

    2013-02-01

    No study has examined the effectiveness of backboards and air deflation for achieving adequate chest compression (CC) depth on air mattresses with the typical configurations seen in intensive care units. To determine this efficacy, we measured mattress compression depth (MCD, mm) on these surfaces using dual accelerometers. Eight cardiopulmonary resuscitation providers performed CCs on manikins lying on 4 different surfaces using a visual feedback system. The surfaces were as follows: A, a bed frame; B, a deflated air mattress placed on top of a foam mattress laid on a bed frame; C, a typical air mattress configuration with an inflated air mattress placed on a foam mattress laid on a bed frame; and D, C with a backboard. Deflation of the air mattress decreased MCD significantly (B; 14.74 ± 1.36 vs C; 30.16 ± 3.96, P deflation of the air mattress decreased MCD more than use of a backboard (B; 14.74 ± 1.36 vs D; 25.46 ± 2.89, P = 0.002). The use of a both a backboard and a deflated air mattress in this configuration reduces MCD and thus helps achieve accurate CC depth during cardiopulmonary resuscitation.

  3. Implementing Set Based Design into Department of Defense Acquisition

    Science.gov (United States)

    2016-12-01

    The team employed a tailored waterfall process model in order to explore SBD applications in the support of defense acquisition and PORs. Figure 1...Engineering Model . Additionally, the team reviewed DOD case studies that implemented SBD. The SBD principles, along with the common themes from the...acquisition. 14. SUBJECT TERMS set based design, set based thinking, model based systems engineering, concurrent engineering, defense acquisition

  4. A randomized trial of exothermic mattresses for preterm newborns in polyethylene bags.

    LENUS (Irish Health Repository)

    McCarthy, Lisa K

    2013-07-01

    Hypothermia on admission to the NICU is associated with increased mortality in preterm infants. Many newborns are hypothermic on admission despite using polyethylene bags (PBs). Using exothermic mattresses (EMs) in addition to PBs may reduce hypothermia but increase hyperthermia. We wished to determine whether placing preterm newborns in PBs on EMs in the DR results in more infants with rectal temperature outside the range 36.5 to 37.5°C on NICU admission.

  5. PhysarumSoft: An update based on rough set theory

    Science.gov (United States)

    Schumann, Andrew; Pancerz, Krzysztof

    2017-07-01

    PhysarumSoft is a software tool consisting of two modules developed for programming Physarum machines and simulating Physarum games, respectively. The paper briefly discusses what has been added since the last version released in 2015. New elements in both modules are based on rough set theory. Rough sets are used to model behaviour of Physarum machines and to describe strategy games.

  6. Matroidal Structure of Generalized Rough Sets Based on Tolerance Relations

    Directory of Open Access Journals (Sweden)

    Hui Li

    2014-01-01

    of the generalized rough set based on the tolerance relation. The matroid can also induce a new relation. We investigate the connection between the original tolerance relation and the induced relation.

  7. A Labeled Data Set For Flow-based Intrusion Detection

    NARCIS (Netherlands)

    Sperotto, Anna; Sadre, R.; van Vliet, Frank; Pras, Aiko; Nunzi, Giorgio; Scoglio, Caterina; Li, Xing

    2009-01-01

    Flow-based intrusion detection has recently become a promising security mechanism in high speed networks (1-10 Gbps). Despite the richness in contributions in this field, benchmarking of flow-based IDS is still an open issue. In this paper, we propose the first publicly available, labeled data set

  8. Level Sets and Voronoi based Feature Extraction from any Imagery

    DEFF Research Database (Denmark)

    Sharma, O.; Anton, François; Mioc, Darka

    2012-01-01

    Polygon features are of interest in many GEOProcessing applications like shoreline mapping, boundary delineation, change detection, etc. This paper presents a unique new GPU-based methodology to automate feature extraction combining level sets, or mean shift based segmentation together with Voron...

  9. Nursing Minimum Data Set Based on EHR Archetypes Approach.

    Science.gov (United States)

    Spigolon, Dandara N; Moro, Cláudia M C

    2012-01-01

    The establishment of a Nursing Minimum Data Set (NMDS) can facilitate the use of health information systems. The adoption of these sets and represent them based on archetypes are a way of developing and support health systems. The objective of this paper is to describe the definition of a minimum data set for nursing in endometriosis represent with archetypes. The study was divided into two steps: Defining the Nursing Minimum Data Set to endometriosis, and Development archetypes related to the NMDS. The nursing data set to endometriosis was represented in the form of archetype, using the whole perception of the evaluation item, organs and senses. This form of representation is an important tool for semantic interoperability and knowledge representation for health information systems.

  10. Sterilization using ozone-ion gas sterilization using ozone-ion gas for mattresses used by the elderly; Ozone ion kunjoho ni kansuru kenkyu. Ozone ion kunjoho no zaitaku kaigoyo mattress mekkin eno oyo

    Energy Technology Data Exchange (ETDEWEB)

    Mikami, H.; Suzuki, A.; Hamasaki, H. [Shinryo Corp., Tokyo (Japan); Ishikawa, S.; Miyata, M.; Nanba, T. [Kitasato Univ., Tokyo (Japan); Sueyoshi, K. [Mitsubishi Research Institute Inc., Tokyo (Japan)

    1999-05-25

    The new generation of Japanese is facing an aging society: the number of young people is decreasing dramatically, while the number of elderly is increasing. Consequently, care for the elderly has become a big problem. One particular problem area we`ve investigated is the use of unclean mattresses by the bedridden elderly. These mattresses provide an all too excellent environments for the growth of microbes. We measured the density of microbes on the cover of mattresses at 775cfu/cm{sup 2} and in the bed filling at 136cfu/g. The dominant species of microbes were MRSA and Bacillus. We used MRSA, Bacillus subtilis and Escherichia coli as biological indicators and tested whether our system using ozone-ion fumigants was applicable for sterilization of mattresses. The survival ratio of MRSA were 10{sup -8} {approx} 10{sup -9}, 10{sup -7} {approx} 10{sup -8} for B. subtilis and below 10{sup -8} for E. coli. These experiments made it clear that our system is applicable for sterilization of the mattresses used by bedfast elderly. (author)

  11. Annotation-based feature extraction from sets of SBML models.

    Science.gov (United States)

    Alm, Rebekka; Waltemath, Dagmar; Wolfien, Markus; Wolkenhauer, Olaf; Henkel, Ron

    2015-01-01

    Model repositories such as BioModels Database provide computational models of biological systems for the scientific community. These models contain rich semantic annotations that link model entities to concepts in well-established bio-ontologies such as Gene Ontology. Consequently, thematically similar models are likely to share similar annotations. Based on this assumption, we argue that semantic annotations are a suitable tool to characterize sets of models. These characteristics improve model classification, allow to identify additional features for model retrieval tasks, and enable the comparison of sets of models. In this paper we discuss four methods for annotation-based feature extraction from model sets. We tested all methods on sets of models in SBML format which were composed from BioModels Database. To characterize each of these sets, we analyzed and extracted concepts from three frequently used ontologies, namely Gene Ontology, ChEBI and SBO. We find that three out of the methods are suitable to determine characteristic features for arbitrary sets of models: The selected features vary depending on the underlying model set, and they are also specific to the chosen model set. We show that the identified features map on concepts that are higher up in the hierarchy of the ontologies than the concepts used for model annotations. Our analysis also reveals that the information content of concepts in ontologies and their usage for model annotation do not correlate. Annotation-based feature extraction enables the comparison of model sets, as opposed to existing methods for model-to-keyword comparison, or model-to-model comparison.

  12. Behavior Identification Based on Geotagged Photo Data Set

    Directory of Open Access Journals (Sweden)

    Guo-qi Liu

    2014-01-01

    Full Text Available The popularity of mobile devices has produced a set of image data with geographic information, time information, and text description information, which is called geotagged photo data set. The division of this kind of data by its behavior and the location not only can identify the user’s important location and daily behavior, but also helps users to sort the huge image data. This paper proposes a method to build an index based on multiple classification result, which can divide the data set multiple times and distribute labels to the data to build index according to the estimated probability of classification results in order to accomplish the identification of users’ important location and daily behaviors. This paper collects 1400 discrete sets of data as experimental data to verify the method proposed in this paper. The result of the experiment shows that the index and actual tagging results have a high inosculation.

  13. Point Set Denoising Using Bootstrap-Based Radial Basis Function.

    Directory of Open Access Journals (Sweden)

    Khang Jie Liew

    Full Text Available This paper examines the application of a bootstrap test error estimation of radial basis functions, specifically thin-plate spline fitting, in surface smoothing. The presence of noisy data is a common issue of the point set model that is generated from 3D scanning devices, and hence, point set denoising is one of the main concerns in point set modelling. Bootstrap test error estimation, which is applied when searching for the smoothing parameters of radial basis functions, is revisited. The main contribution of this paper is a smoothing algorithm that relies on a bootstrap-based radial basis function. The proposed method incorporates a k-nearest neighbour search and then projects the point set to the approximated thin-plate spline surface. Therefore, the denoising process is achieved, and the features are well preserved. A comparison of the proposed method with other smoothing methods is also carried out in this study.

  14. Point Set Denoising Using Bootstrap-Based Radial Basis Function.

    Science.gov (United States)

    Liew, Khang Jie; Ramli, Ahmad; Abd Majid, Ahmad

    2016-01-01

    This paper examines the application of a bootstrap test error estimation of radial basis functions, specifically thin-plate spline fitting, in surface smoothing. The presence of noisy data is a common issue of the point set model that is generated from 3D scanning devices, and hence, point set denoising is one of the main concerns in point set modelling. Bootstrap test error estimation, which is applied when searching for the smoothing parameters of radial basis functions, is revisited. The main contribution of this paper is a smoothing algorithm that relies on a bootstrap-based radial basis function. The proposed method incorporates a k-nearest neighbour search and then projects the point set to the approximated thin-plate spline surface. Therefore, the denoising process is achieved, and the features are well preserved. A comparison of the proposed method with other smoothing methods is also carried out in this study.

  15. AOIPS data base management systems support for GARP data sets

    Science.gov (United States)

    Gary, J. P.

    1977-01-01

    A data base management system is identified, developed to provide flexible access to data sets produced by GARP during its data systems tests. The content and coverage of the data base are defined and a computer-aided, interactive information storage and retrieval system, implemented to facilitate access to user specified data subsets, is described. The computer programs developed to provide the capability were implemented on the highly interactive, minicomputer-based AOIPS and are referred to as the data retrieval system (DRS). Implemented as a user interactive but menu guided system, the DRS permits users to inventory the data tape library and create duplicate or subset data sets based on a user selected window defined by time and latitude/longitude boundaries. The DRS permits users to select, display, or produce formatted hard copy of individual data items contained within the data records.

  16. Connected Dominating Set Based Topology Control in Wireless Sensor Networks

    Science.gov (United States)

    He, Jing

    2012-01-01

    Wireless Sensor Networks (WSNs) are now widely used for monitoring and controlling of systems where human intervention is not desirable or possible. Connected Dominating Sets (CDSs) based topology control in WSNs is one kind of hierarchical method to ensure sufficient coverage while reducing redundant connections in a relatively crowded network.…

  17. Verification Based on Set-Abstraction Using the AIF Framework

    DEFF Research Database (Denmark)

    Mödersheim, Sebastian Alexander

    The AIF framework is a novel method for analyzing advanced security protocols, web services, and APIs, based a new abstract interpretation method. It consists of the specification language AIF and a translation/abstraction processes that produces a set of first-order Horn clauses. These can...

  18. A retrospective study to determine the incidence of pressure ulcers in burn patients using an alternating pressure mattress.

    Science.gov (United States)

    Still, Joseph M; Wilson, Joan; Rinker, Connie; Law, Edward; Craft-Coffman, Beretta

    2003-08-01

    In immobilized patients, unrelieved pressure can create decubitus ulcers over bony prominences. Those burn patients who require prolonged bed rest, are prone to the development of such problems. Various methods of reducing pressure on these areas, including frequent turning and the use of air fluidized and low air loss beds, have been adopted to attempt to prevent the development of this complication. The Pegasus Renaissance alternating pressure mattress is such a device, intended to reduce the incidence of decubitus ulcers. It was introduced at our burn unit and evaluated over a 29-month period. During the study period, 186 (13.4%) of 1390 acutely burned patients, believed to be at high risk for the development of decubiti, were placed on this mattress. Other patients were treated in the standard hospital bed. Care was otherwise the same. No decubitus ulcers developed in any of the patients treated on the Pegasus Renaissance mattress.

  19. Optimizing distance-based methods for large data sets

    Science.gov (United States)

    Scholl, Tobias; Brenner, Thomas

    2015-10-01

    Distance-based methods for measuring spatial concentration of industries have received an increasing popularity in the spatial econometrics community. However, a limiting factor for using these methods is their computational complexity since both their memory requirements and running times are in {{O}}(n^2). In this paper, we present an algorithm with constant memory requirements and shorter running time, enabling distance-based methods to deal with large data sets. We discuss three recent distance-based methods in spatial econometrics: the D&O-Index by Duranton and Overman (Rev Econ Stud 72(4):1077-1106, 2005), the M-function by Marcon and Puech (J Econ Geogr 10(5):745-762, 2010) and the Cluster-Index by Scholl and Brenner (Reg Stud (ahead-of-print):1-15, 2014). Finally, we present an alternative calculation for the latter index that allows the use of data sets with millions of firms.

  20. Rough set and rule-based multicriteria decision aiding

    Directory of Open Access Journals (Sweden)

    Roman Slowinski

    2012-08-01

    Full Text Available The aim of multicriteria decision aiding is to give the decision maker a recommendation concerning a set of objects evaluated from multiple points of view called criteria. Since a rational decision maker acts with respect to his/her value system, in order to recommend the most-preferred decision, one must identify decision maker's preferences. In this paper, we focus on preference discovery from data concerning some past decisions of the decision maker. We consider the preference model in the form of a set of "if..., then..." decision rules discovered from the data by inductive learning. To structure the data prior to induction of rules, we use the Dominance-based Rough Set Approach (DRSA. DRSA is a methodology for reasoning about data, which handles ordinal evaluations of objects on considered criteria and monotonic relationships between these evaluations and the decision. We review applications of DRSA to a large variety of multicriteria decision problems.

  1. Elitism set based particle swarm optimization and its application

    Directory of Open Access Journals (Sweden)

    Yanxia Sun

    2017-01-01

    Full Text Available Topology plays an important role for Particle Swarm Optimization (PSO to achieve good optimization performance. It is difficult to find one topology structure for the particles to achieve better optimization performance than the others since the optimization performance not only depends on the searching abilities of the particles, also depends on the type of the optimization problems. Three elitist set based PSO algorithm without using explicit topology structure is proposed in this paper. An elitist set, which is based on the individual best experience, is used to communicate among the particles. Moreover, to avoid the premature of the particles, different statistical methods have been used in these three proposed methods. The performance of the proposed PSOs is compared with the results of the standard PSO 2011 and several PSO with different topologies, and the simulation results and comparisons demonstrate that the proposed PSO with adaptive probabilistic preference can achieve good optimization performance.

  2. Skull defect reconstruction based on a new hybrid level set.

    Science.gov (United States)

    Zhang, Ziqun; Zhang, Ran; Song, Zhijian

    2014-01-01

    Skull defect reconstruction is an important aspect of surgical repair. Historically, a skull defect prosthesis was created by the mirroring technique, surface fitting, or formed templates. These methods are not based on the anatomy of the individual patient's skull, and therefore, the prosthesis cannot precisely correct the defect. This study presented a new hybrid level set model, taking into account both the global optimization region information and the local accuracy edge information, while avoiding re-initialization during the evolution of the level set function. Based on the new method, a skull defect was reconstructed, and the skull prosthesis was produced by rapid prototyping technology. This resulted in a skull defect prosthesis that well matched the skull defect with excellent individual adaptation.

  3. Level set method for image segmentation based on moment competition

    Science.gov (United States)

    Min, Hai; Wang, Xiao-Feng; Huang, De-Shuang; Jin, Jing; Wang, Hong-Zhi; Li, Hai

    2015-05-01

    We propose a level set method for image segmentation which introduces the moment competition and weakly supervised information into the energy functional construction. Different from the region-based level set methods which use force competition, the moment competition is adopted to drive the contour evolution. Here, a so-called three-point labeling scheme is proposed to manually label three independent points (weakly supervised information) on the image. Then the intensity differences between the three points and the unlabeled pixels are used to construct the force arms for each image pixel. The corresponding force is generated from the global statistical information of a region-based method and weighted by the force arm. As a result, the moment can be constructed and incorporated into the energy functional to drive the evolving contour to approach the object boundary. In our method, the force arm can take full advantage of the three-point labeling scheme to constrain the moment competition. Additionally, the global statistical information and weakly supervised information are successfully integrated, which makes the proposed method more robust than traditional methods for initial contour placement and parameter setting. Experimental results with performance analysis also show the superiority of the proposed method on segmenting different types of complicated images, such as noisy images, three-phase images, images with intensity inhomogeneity, and texture images.

  4. Finite element modeling for predicting the contact pressure between a foam mattress and the human body in a supine position.

    Science.gov (United States)

    Lee, Wookjin; Won, Byeong Hee; Cho, Seong Wook

    2017-01-01

    In this paper, we generated finite element (FE) models to predict the contact pressure between a foam mattress and the human body in a supine position. Twenty-year-old males were used for three-dimensional scanning to produce the FE human models, which was composed of skin and muscle tissue. A linear elastic isotropic material model was used for the skin, and the Mooney-Rivlin model was used for the muscle tissue because it can effectively represent the nonlinear behavior of muscle. The contact pressure between the human model and the mattress was predicted by numerical simulation. The human models were validated by comparing the body pressure distribution obtained from the same human subject when he was lying on two different mattress types. The experimental results showed that the slope of the lower part of the mattress caused a decrease in the contact pressure at the heels, and the effect of bone structure was most pronounced in the scapula. After inserting a simple structure to function as the scapula, the contact pressure predicted by the FE human models was consistent with the experimental body pressure distribution for all body parts. These results suggest that the models proposed in this paper will be useful to researchers and designers of products related to the prevention of pressure ulcers.

  5. A quantitative analysis of microcirculation in sore-prone pressure areas on conventional and pressure relief hospital mattresses using laser Doppler flowmetry and tissue spectrophotometry.

    Science.gov (United States)

    Rothenberger, Jens; Krauss, Sabrina; Held, Manuel; Bender, Dominik; Schaller, Hans-Eberhard; Rahmanian-Schwarz, Afshin; Constantinescu, Mihai Adrian; Jaminet, Patrick

    2014-11-01

    Pressure ulcers are associated with severe impairment for the patients and high economic load. With this study we wanted to gain more insight to the skin perfusion dynamics due to external loading. Furthermore, we evaluated the effect of different types of pressure relief mattresses. A total of 25 healthy volunteers were enrolled in the study. Perfusion dynamics of the sacral and the heel area were assessed using the O2C-device, which combines a laser light, to determine blood flow, and white light to determine the relative amount of hemoglobin. Three mattresses were evaluated compared to a hard surface: a standard hospital foam mattress bed, a visco-elastic foam mattress, and an air-fluidized bed. In the heel area, only the air-fluidized bed was able to maintain the blood circulation (mean blood flow of 13.6 ± 6 versus 3.9 ± 3 AU and mean relative amount of hemoglobin of 44.0 ± 14 versus 32.7 ± 12 AU.) In the sacral area, all used mattresses revealed an improvement of blood circulation compared to the hard surface. The results of this study form a more precise pattern of perfusion changes due to external loading on various pressure relief mattresses. This knowledge may reduce the incidence of pressure ulcers and may be an influencing factor in pressure relief mattress selection. Copyright © 2014 Tissue Viability Society. Published by Elsevier Ltd. All rights reserved.

  6. Setting Standards for Medically-Based Running Analysis

    Science.gov (United States)

    Vincent, Heather K.; Herman, Daniel C.; Lear-Barnes, Leslie; Barnes, Robert; Chen, Cong; Greenberg, Scott; Vincent, Kevin R.

    2015-01-01

    Setting standards for medically based running analyses is necessary to ensure that runners receive a high-quality service from practitioners. Medical and training history, physical and functional tests, and motion analysis of running at self-selected and faster speeds are key features of a comprehensive analysis. Self-reported history and movement symmetry are critical factors that require follow-up therapy or long-term management. Pain or injury is typically the result of a functional deficit above or below the site along the kinematic chain. PMID:25014394

  7. Mobile Urban Drama - Setting the Stage with Location Based Technologies

    DEFF Research Database (Denmark)

    Hansen, Frank Allan; Kortbek, Karen Johanne; Grønbæk, Kaj

    2008-01-01

    This paper introduces the novel concept of location-based Mobile Urban Dramas. In a Mobile Urban Drama the user become the main character in a play where actors’ voices appear in the mobile phone headset linked to the physical setting in the city as the stage for the drama. The paper describes...... the dramaturgical concept and introduces a software framework supporting drama writers in developing such Mobile Urban Dramas. Experiences with use of the framework are discussed with successful examples of real dramas that have been developed and performed by a Danish theatre group, Katapult....

  8. Verifying SeVeCom Using Set-based Abstraction

    DEFF Research Database (Denmark)

    Mödersheim, Sebastian Alexander; Modesti, Paolo

    We formally analyze the Secure Vehicle Communication system developed by the EU-project SeVeCom, using the AIF framework which is based on a novel set-abstraction technique. The model involves the hardware security modules (HSMs) of a number of cars, a certification authority, and the protocols...... executed between them. Each participant stores a database of keys that can be added or deleted depending on the different operations. The AIF-framework allows us to model and automatically analyze such databases with- out bounding the number of steps that the system can make and, in contrast to previous...

  9. Verifying SeVeCom Using Set-based Abstraction

    DEFF Research Database (Denmark)

    Mödersheim, Sebastian Alexander; Modesti, Paolo

    2011-01-01

    We formally analyze the Secure Vehicle Communication system developed by the EU-project SeVeCom, using the AIF framework which is based on a novel set-abstraction technique. The model involves the hardware security modules (HSMs) of a number of cars, a certication authority, and the protocols...... executed between them. Each participant stores a database of keys that can be added or deleted depending on the dierent operations. The AIF-framework allows us to model and automatically analyze such databases with- out bounding the number of steps that the system can make and, in contrast to previous...

  10. Web service based system for generating input data sets

    International Nuclear Information System (INIS)

    Kralev, Velin; Kraleva, Radoslava

    2011-01-01

    This article deals with a three-layer architectural model of a distributed information system based on Web services, which will be used for automatic generation of sets of input data. The information system will be constructed of a client layer, a service layer and of a data layer. The web services as a tool of developing distributed software systems will be presented briefly. A web service and the implementation of its web methods will be described. A way to use the developed web methods in real application will be proposed. Keywords: web services

  11. Fuzzy-Set Based Sentiment Analysis of Big Social Data

    DEFF Research Database (Denmark)

    Mukkamala, Raghava Rao; Hussain, Abid; Vatrapu, Ravi

    2014-01-01

    Computational approaches to social media analytics are largely limited to graph theoretical approaches such as social network analysis (SNA) informed by the social philosophical approach of relational sociology. There are no other unified modelling approaches to social data that integrate...... the conceptual, formal, software, analytical and empirical realms. In this paper, we first present and discuss a theory and conceptual model of social data. Second, we outline a formal model based on fuzzy set theory and describe the operational semantics of the formal model with a real-world social data example...... from Facebook. Third, we briefly present and discuss the Social Data Analytics Tool (SODATO) that realizes the conceptual model in software and provisions social data analysis based on the conceptual and formal models. Fourth, we use SODATO to fetch social data from the facebook wall of a global brand...

  12. Fuzzy Sets-based Control Rules for Terminating Algorithms

    Directory of Open Access Journals (Sweden)

    Jose L. VERDEGAY

    2002-01-01

    Full Text Available In this paper some problems arising in the interface between two different areas, Decision Support Systems and Fuzzy Sets and Systems, are considered. The Model-Base Management System of a Decision Support System which involves some fuzziness is considered, and in that context the questions on the management of the fuzziness in some optimisation models, and then of using fuzzy rules for terminating conventional algorithms are presented, discussed and analyzed. Finally, for the concrete case of the Travelling Salesman Problem, and as an illustration of determination, management and using the fuzzy rules, a new algorithm easy to implement in the Model-Base Management System of any oriented Decision Support System is shown.

  13. An IDS Alerts Aggregation Algorithm Based on Rough Set Theory

    Science.gov (United States)

    Zhang, Ru; Guo, Tao; Liu, Jianyi

    2018-03-01

    Within a system in which has been deployed several IDS, a great number of alerts can be triggered by a single security event, making real alerts harder to be found. To deal with redundant alerts, we propose a scheme based on rough set theory. In combination with basic concepts in rough set theory, the importance of attributes in alerts was calculated firstly. With the result of attributes importance, we could compute the similarity of two alerts, which will be compared with a pre-defined threshold to determine whether these two alerts can be aggregated or not. Also, time interval should be taken into consideration. Allowed time interval for different types of alerts is computed individually, since different types of alerts may have different time gap between two alerts. In the end of this paper, we apply proposed scheme on DAPRA98 dataset and the results of experiment show that our scheme can efficiently reduce the redundancy of alerts so that administrators of security system could avoid wasting time on useless alerts.

  14. Model-based gene set analysis for Bioconductor.

    Science.gov (United States)

    Bauer, Sebastian; Robinson, Peter N; Gagneur, Julien

    2011-07-01

    Gene Ontology and other forms of gene-category analysis play a major role in the evaluation of high-throughput experiments in molecular biology. Single-category enrichment analysis procedures such as Fisher's exact test tend to flag large numbers of redundant categories as significant, which can complicate interpretation. We have recently developed an approach called model-based gene set analysis (MGSA), that substantially reduces the number of redundant categories returned by the gene-category analysis. In this work, we present the Bioconductor package mgsa, which makes the MGSA algorithm available to users of the R language. Our package provides a simple and flexible application programming interface for applying the approach. The mgsa package has been made available as part of Bioconductor 2.8. It is released under the conditions of the Artistic license 2.0. peter.robinson@charite.de; julien.gagneur@embl.de.

  15. Mutually unbiased bases and trinary operator sets for N qutrits

    International Nuclear Information System (INIS)

    Lawrence, Jay

    2004-01-01

    A compete orthonormal basis of N-qutrit unitary operators drawn from the Pauli group consists of the identity and 9 N -1 traceless operators. The traceless ones partition into 3 N +1 maximally commuting subsets (MCS's) of 3 N -1 operators each, whose joint eigenbases are mutually unbiased. We prove that Pauli factor groups of order 3 N are isomorphic to all MCS's and show how this result applies in specific cases. For two qutrits, the 80 traceless operators partition into 10 MCS's. We prove that 4 of the corresponding basis sets must be separable, while 6 must be totally entangled (and Bell-like). For three qutrits, 728 operators partition into 28 MCS's with less rigid structure, allowing for the coexistence of separable, partially entangled, and totally entangled (GHZ-like) bases. However a minimum of 16 GHZ-like bases must occur. Every basis state is described by an N-digit trinary number consisting of the eigenvalues of N observables constructed from the corresponding MCS

  16. Ontology-based integration of topographic data sets

    NARCIS (Netherlands)

    Uitermark, HT; van Oosterom, PJM; Mars, NJI; Molenaar, M

    The integration of topographic data sets is defined as the process of establishing relationships between corresponding object instances in different, autonomously produced, topographic data sets of the same geographic space. The problem of integrating topographic data sets is in finding these

  17. Multiattribute Grey Target Decision Method Based on Soft Set Theory

    Directory of Open Access Journals (Sweden)

    Xia Wang

    2014-01-01

    Full Text Available With respect to the Multiattribute decision-making problems in which the evaluation attribute sets are different and the evaluating values of alternatives are interval grey numbers, a multiattribute grey target decision-making method in which the attribute sets are different was proposed. The concept of grey soft set was defined, and its “AND” operation was assigned by combining the intersection operation of grey number. The expression approach of new grey soft set of attribute sets considering by all decision makers were gained by applying the “AND” operation of grey soft set, and the weights of synthesis attribute were proved. The alternatives were ranked according to the size of distance of bull’s eyes of each alternative under synthetic attribute sets. The green supplier selection was illustrated to demonstrate the effectiveness of proposed model.

  18. Multicenter comparison of the efficacy on prevention of pressure ulcer in postoperative patients between two types of pressure-relieving mattresses in China

    Science.gov (United States)

    Jiang, Qixia; Li, Xiaohua; Zhang, Aiqin; Guo, Yanxia; Liu, Yahong; Liu, Haiying; Qu, Xiaolong; Zhu, Yajun; Guo, Xiujun; Liu, Li; Zhang, Liyan; Bo, Suping; Jia, Jing; Chen, Yuejuan; Zhang, Rui; Wang, Jiandong

    2014-01-01

    Objective: Present study is designed to evaluate the effects of preventing pressure ulcer in surgical patients with two types of pressure-relieving mattresses. Methods: 1074 surgical patients from 12 hospitals in China were divided into A group (static air mattress with repositioning every 2 hours, n = 562) and B group (power pressure air mattress with repositioning every 2 hours, n = 512). The patient was subjected to a pressure-relieving mattress and observed from 0-5 days after surgery. Indications include the Braden scores, hospital-acquired pressure ulcers (HAPU) incidence and stage. Results: The Braden scores between two groups in five days after surgery were no significant (P > 0.05). The incidence of HAPU between two groups in same days also was no significant (1.07% vs. 0.98%, P > 0.05). The incidence of Stage I and stage II pressure ulcers in group A and B were 1.07% (6/562) and 0.98% (5/512), respectively (χ2 = 0.148, P = 0.882). Conclusion: The effects of preventing pressure ulcer in surgical patients with two types of pressure-relieving mattresses are similar, but the protocol by static air mattress with repositioning every 2 hours is benefit when no power. PMID:25356144

  19. Matrigel Mattress: A Method for the Generation of Single Contracting Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes.

    Science.gov (United States)

    Feaster, Tromondae K; Cadar, Adrian G; Wang, Lili; Williams, Charles H; Chun, Young Wook; Hempel, Jonathan E; Bloodworth, Nathaniel; Merryman, W David; Lim, Chee Chew; Wu, Joseph C; Knollmann, Björn C; Hong, Charles C

    2015-12-04

    The lack of measurable single-cell contractility of human-induced pluripotent stem cell-derived cardiac myocytes (hiPSC-CMs) currently limits the utility of hiPSC-CMs for evaluating contractile performance for both basic research and drug discovery. To develop a culture method that rapidly generates contracting single hiPSC-CMs and allows quantification of cell shortening with standard equipment used for studying adult CMs. Single hiPSC-CMs were cultured for 5 to 7 days on a 0.4- to 0.8-mm thick mattress of undiluted Matrigel (mattress hiPSC-CMs) and compared with hiPSC-CMs maintained on a control substrate (method enables the rapid generation of robustly contracting hiPSC-CMs and enhances maturation. This new method allows quantification of contractile performance at the single-cell level, which should be valuable to disease modeling, drug discovery, and preclinical cardiotoxicity testing. © 2015 American Heart Association, Inc.

  20. Pressure ulcers prevention efficacy of an alternating pressure air mattress in elderly patients: E²MAO a randomised study.

    Science.gov (United States)

    Sauvage, P; Touflet, M; Pradere, C; Portalier, F; Michel, J-M; Charru, P; Passadori, Y; Fevrier, R; Hallet-Lezy, A-M; Beauchêne, F; Scherrer, B

    2017-06-02

    Our aim was to compare Axtair One, an alternating pressure air mattress (APAM), with a viscoelastic foam mattress (VFM) in elderly patients at moderate to high risk of developing pressure ulcers (PUs). A randomised, controlled, superiority, parallel-group, open-label, multicentre study, was conducted, between February 2012 and March 2015, in nine French, medium- and long-term stay facilities. Eligible patients were aged 70 and over, had no PUs on enrolment, were bedridden for at least 15 hours per day, had reduced mobility, an absent or minimal positioning capability, a Braden score 12 and a Karnofsky score elderly patients, bedridden for more than 15 hours per day, severely dependent, at moderate-to high-risk of PUs, with an instantaneous risk for the appearance of PUs 7.57 times greater in the VFM group than in the APAM group. This study provides descriptive information and evidence for practice.

  1. Logical Discrete Event Systems in a trace theory based setting

    NARCIS (Netherlands)

    Smedinga, R.

    1993-01-01

    Discrete event systems can be modelled using a triple consisting of some alphabet (representing the events that might occur), and two trace sets (sets of possible strings) denoting the possible behaviour and the completed tasks of the system. Using this definition we are able to formulate and solve

  2. Emission of phthalates and phthalate alternatives from vinyl flooring and crib mattress covers: the influence of temperature.

    Science.gov (United States)

    Liang, Yirui; Xu, Ying

    2014-12-16

    Emissions of phthalates and phthalate alternatives from vinyl flooring and crib mattress covers were measured in a specially designed chamber. The gas-phase concentrations versus time were measured at four different temperatures, that is, 25, 36, 45, and 55 °C. The key parameter that controls the emissions (y0, gas-phase concentration in equilibrium with the material phase) was determined, and the emissions were found to increase significantly with increasing temperature. Both the material-phase concentration (C0) and the chemical vapor pressure (Vp) were found to have great influence on the value of y0. The measured ratios of C0 to y0 were exponentially proportional to the reciprocal of temperature, in agreement with the van't Hoff equation. A emission model was validated at different temperatures, with excellent agreement between model calculations and chamber observations. In residential homes, an increase in the temperature from 25 to 35 °C can elevate the gas-phase concentration of phthalates by more than a factor of 10, but the total airborne concentration may not increase that much for less volatile compounds. In infant sleep microenvironments, an increase in the temperature of mattress can cause a significant increase in emission of phthalates from the mattress cover and make the concentration in the infant's breathing zone about four times higher than that in the bulk room air, resulting in potentially high exposure.

  3. Biomechanical characteristics of the horizontal mattress stitch: implication for double-row and suture-bridge rotator cuff repair.

    Science.gov (United States)

    Tamboli, Mallika; Mihata, Teruhisa; Hwang, James; McGarry, Michelle H; Kang, Yangmi; Lee, Thay Q

    2014-03-01

    We investigated the effects of bite-size horizontal mattress stitch (distance between the limbs passed through the tendon) on the biomechanical properties of the repaired tendon. We anchored 20 bovine Achilles tendons to bone using no. 2 high-strength suture and 5-mm titanium suture anchors in a mattress-suture technique. Tendons were allocated randomly into two groups of ten each to receive stitches with a 4- or 10-mm bite. Specimens underwent cyclic loading from 5 to 30 N at 1 mm/s for 30 cycles, followed by tensile testing to failure. Gap formation, tendon strain, hysteresis, stiffness, yield load, ultimate load, energy to yield load, and energy to ultimate load were compared between groups using unpaired t tests. The 4-mm group had less (p row repair, small mattress stitches provide a tighter repair, whereas large stitches are beneficial to prevent sutures from pulling through the tendon after surgery. For suture-bridge rotator cuff repair, large stitches are beneficial because the repaired tendon has a higher strength, and the slightly mobile medial knot can be tightened by lateral fixation.

  4. Constructing DNA Barcode Sets Based on Particle Swarm Optimization.

    Science.gov (United States)

    Wang, Bin; Zheng, Xuedong; Zhou, Shihua; Zhou, Changjun; Wei, Xiaopeng; Zhang, Qiang; Wei, Ziqi

    2018-01-01

    Following the completion of the human genome project, a large amount of high-throughput bio-data was generated. To analyze these data, massively parallel sequencing, namely next-generation sequencing, was rapidly developed. DNA barcodes are used to identify the ownership between sequences and samples when they are attached at the beginning or end of sequencing reads. Constructing DNA barcode sets provides the candidate DNA barcodes for this application. To increase the accuracy of DNA barcode sets, a particle swarm optimization (PSO) algorithm has been modified and used to construct the DNA barcode sets in this paper. Compared with the extant results, some lower bounds of DNA barcode sets are improved. The results show that the proposed algorithm is effective in constructing DNA barcode sets.

  5. Fuzzy GML Modeling Based on Vague Soft Sets

    Directory of Open Access Journals (Sweden)

    Bo Wei

    2017-01-01

    Full Text Available The Open Geospatial Consortium (OGC Geography Markup Language (GML explicitly represents geographical spatial knowledge in text mode. All kinds of fuzzy problems will inevitably be encountered in spatial knowledge expression. Especially for those expressions in text mode, this fuzziness will be broader. Describing and representing fuzziness in GML seems necessary. Three kinds of fuzziness in GML can be found: element fuzziness, chain fuzziness, and attribute fuzziness. Both element fuzziness and chain fuzziness belong to the reflection of the fuzziness between GML elements and, then, the representation of chain fuzziness can be replaced by the representation of element fuzziness in GML. On the basis of vague soft set theory, two kinds of modeling, vague soft set GML Document Type Definition (DTD modeling and vague soft set GML schema modeling, are proposed for fuzzy modeling in GML DTD and GML schema, respectively. Five elements or pairs, associated with vague soft sets, are introduced. Then, the DTDs and the schemas of the five elements are correspondingly designed and presented according to their different chains and different fuzzy data types. While the introduction of the five elements or pairs is the basis of vague soft set GML modeling, the corresponding DTD and schema modifications are key for implementation of modeling. The establishment of vague soft set GML enables GML to represent fuzziness and solves the problem of lack of fuzzy information expression in GML.

  6. Low Cost Plastic Optical Fiber Pressure Sensor Embedded in Mattress for Vital Signal Monitoring.

    Science.gov (United States)

    Sartiano, Demetrio; Sales, Salvador

    2017-12-13

    The aim of this paper is to report the design of a low-cost plastic optical fiber (POF) pressure sensor, embedded in a mattress. We report the design of a multipoint sensor, a cheap alternative to the most common fiber sensors. The sensor is implemented using Arduino board, standard LEDs for optical communication in POF (λ = 645 nm) and a silicon light sensor. The Super ESKA ® plastic fibers were used to implement the fiber intensity sensor, arranged in a 4 × 4 matrix. During the breathing cycles, the force transmitted from the lungs to the thorax is in the order of tens of Newtons, and the respiration rate is of one breath every 2-5 s (0.2-0.5 Hz). The sensor has a resolution of force applied on a single point of 2.2-4.5%/N on the normalized voltage output, and a bandwidth of 10 Hz, it is then suitable to monitor the respiration movements. Another issue to be addressed is the presence of hysteresis over load cycles. The sensor was loaded cyclically to estimate the drift of the system, and the hysteresis was found to be negligible.

  7. Low Cost Plastic Optical Fiber Pressure Sensor Embedded in Mattress for Vital Signal Monitoring

    Directory of Open Access Journals (Sweden)

    Demetrio Sartiano

    2017-12-01

    Full Text Available The aim of this paper is to report the design of a low-cost plastic optical fiber (POF pressure sensor, embedded in a mattress. We report the design of a multipoint sensor, a cheap alternative to the most common fiber sensors. The sensor is implemented using Arduino board, standard LEDs for optical communication in POF (λ = 645 nm and a silicon light sensor. The Super ESKA® plastic fibers were used to implement the fiber intensity sensor, arranged in a 4 × 4 matrix. During the breathing cycles, the force transmitted from the lungs to the thorax is in the order of tens of Newtons, and the respiration rate is of one breath every 2–5 s (0.2–0.5 Hz. The sensor has a resolution of force applied on a single point of 2.2–4.5%/N on the normalized voltage output, and a bandwidth of 10 Hz, it is then suitable to monitor the respiration movements. Another issue to be addressed is the presence of hysteresis over load cycles. The sensor was loaded cyclically to estimate the drift of the system, and the hysteresis was found to be negligible.

  8. Accelerated EM-based clustering of large data sets

    NARCIS (Netherlands)

    Verbeek, J.J.; Nunnink, J.R.J.; Vlassis, N.

    2006-01-01

    Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms like k-means, we derive an accelerated variant of the EM algorithm for Gaussian mixtures that: (1) offers speedups that

  9. Optimisation-Based Solution Methods for Set Partitioning Models

    DEFF Research Database (Denmark)

    Rasmussen, Matias Sevel

    The scheduling of crew, i.e. the construction of work schedules for crew members, is often not a trivial task, but a complex puzzle. The task is complicated by rules, restrictions, and preferences. Therefore, manual solutions as well as solutions from standard software packages are not always su......_cient with respect to solution quality and solution time. Enhancement of the overall solution quality as well as the solution time can be of vital importance to many organisations. The _elds of operations research and mathematical optimisation deal with mathematical modelling of di_cult scheduling problems (among...... other topics). The _elds also deal with the development of sophisticated solution methods for these mathematical models. This thesis describes the set partitioning model which has been widely used for modelling crew scheduling problems. Integer properties for the set partitioning model are shown...

  10. Skill Based Instruction of Collaborative Robots in Industrial Settings

    DEFF Research Database (Denmark)

    Schou, Casper; Andersen, Rasmus Skovgaard; Chrysostomou, Dimitrios

    2018-01-01

    During the past decades increasing need for more flexible and agile manufacturing equipment has spawned a growing interest in collaborative robots. Contrary to traditional industrial robots, collaborative robots are intended for operating alongside the production personnel in dynamic or semi...... several user studies, the usability of SBS and the task level programming approach has been demonstrated. SBS has been utilized in several international research projects where SBS has been deployed and tested in three real manufacturing settings. Collectively, the industrial exploitations have...

  11. 77 FR 1501 - Special Purpose Permit Application; Draft Environmental Assessment; Hawaii-Based Shallow-Set...

    Science.gov (United States)

    2012-01-10

    ...-FF01M01000] Special Purpose Permit Application; Draft Environmental Assessment; Hawaii-Based Shallow-Set... the operation of the Hawaii-based shallow-set longline fishery that targets swordfish (Xiphias gladius... albatross, by NMFS in its regulation of the shallow-set longline fishery based in Hawaii. This fishery...

  12. 77 FR 50153 - Special Purpose Permit Application; Hawaii-Based Shallow-Set Longline Fishery; Final...

    Science.gov (United States)

    2012-08-20

    ...-FF01M01000] Special Purpose Permit Application; Hawaii-Based Shallow-Set Longline Fishery; Final... of the Hawaii-based shallow-set longline fishery, which targets swordfish. After evaluating several... take of seabirds in the shallow-set longline fishery based in Hawaii. The analysis of alternatives is...

  13. A Web Based Educational Programming Logic Controller Training Set Based on Vocational High School Students' Demands

    Directory of Open Access Journals (Sweden)

    Abdullah Alper Efe

    2018-01-01

    Full Text Available The purpose of this study was to design and develop aProgramming Logic Controller Training Set according to vocational high school students’ educational needs. In this regard, by using the properties of distance education the proposed system supported “hands-on” PLC programming laboratory exercises in industrial automation area. The system allowed students to access and control the PLC training set remotely. For this purpose, researcher designed a web site to facilitate students’ interactivity and support PLC programming. In the training set, Induction Motor, Frequency Converter and Encoder tripart controlled by Siemens Simatic S7-200 PLC controller by the help of SIMATIC Step 7 Programming Software were used to make the system more effective and efficient. Moreover, training set included an IP camera system allowing to monitor devices and pilot application. By working with this novel remote accessible training set, students and researchers recieved a chance to inhere self paced learning experiences. Also, The PLC training set offered an effective learning enviroenment for distance education, which is based on presenting the content on the web and opening it to the online users and provided a safe and economical solution for multiple users in a workplace to enhance the quality of education with less overall cost.

  14. Factors affecting stall use for different freestall bases.

    Science.gov (United States)

    Wagner-Storch, A M; Palmer, R W; Kammel, D W

    2003-06-01

    The objective of this study was to compare stall use (stall occupancy and cow position) by barn side for factors affecting stall use. A closed circuit television system recorded stall use four times per day for a 9-mo period starting May 9, 2001. Six factors were analyzed: stall base, distance to water, stall location within stall base section, stall location within barn, inside barn temperature, and length of time cows were exposed to stall bases. Two barn sides with different stocking densities were analyzed: low (66%), with cows milked by robotic milker; and high (100%), with cows milked 2X in parlor. Six stall base types were tested: two mattresses, a waterbed, a rubber mat, concrete, and sand (high side only). The base types were grouped 3 to 7 stalls/section and randomly placed in each row. Cows spent more time in mattress-based stalls, but the highest percentage lying was in sand-based stalls. The following significant stall occupancy percentages were found: sand had the highest percentage of cows lying on the high stocking density side (69%), followed by mattress type 1 (65%) > mattress type 2 (57%) > waterbed (45%) > rubber mat (33%) > concrete (23%). Mattress type 1 had the highest percentage stalls occupied (88%), followed by mattress type 2 (84%) > sand (79%) > soft rubber mat (65%) > waterbed (62%) > concrete (39%). On the low stocking rate side, mattress type 1 had the highest percentage cows lying (45%) and occupied (59.6%), followed by mattress type 2 > waterbed > soft rubber mat > concrete. Cow lying and stalls occupied percentages were highest for stalls 1) not at the end of a section, and 2) on the outside row, and varied by base type for time cows exposed to stalls and inside barn temperature. Lying and occupied percentages were different for different mattress types. The percentage of stalls with cows standing was higher for mat and mattress-based stalls. Results show mattress type 1 and sand to be superior and rubber mats and concrete inferior

  15. A HPMT based set-up to characterize scintillating crystals

    International Nuclear Information System (INIS)

    D'Ambrosio, C.; Ercoli, C.; Jaaskelainen, S.; Lecoeur, G.; Leutz, H.; Loos, R.; Piedigrossi, D.; Puertolas, D.; Rosso, E.; Schomaker, R.

    1999-01-01

    We have developed a fully automatic measurement set-up, capable of measuring light yields arising from scintillating crystals in a linear range of about four orders of magnitude. The photodetector is a hybrid photomultiplier tube specially developed to optimize linear range and photon detection. Crystal and photodetector are temperature controlled by a closed water circuit, as this is essential when measuring low light yield scintillating crystals with a marked temperature dependence of their light yield. Gamma sources can be placed either on top or on the side of the crystal. In this latter case, the source can be automatically moved by a computer-controlled step motor to provide a uniformity profile of the light yield along the crystal. Tagged and not-tagged operation modes are possible. The whole set-up is computer-controlled in an effort to provide fast and reliable measurements, to characterize many crystals per day. This is important for the quality control of the lead tungstate crystals that will be applied in the electromagnetic calorimeter of the CMS-detector at the LHC at CERN. (author)

  16. A HPMT based set-up to characterize scintillating crystals

    Energy Technology Data Exchange (ETDEWEB)

    D' Ambrosio, C.; Ercoli, C.; Jaaskelainen, S.; Lecoeur, G.; Leutz, H.; Loos, R.; Piedigrossi, D.; Puertolas, D.; Rosso, E.; Schomaker, R

    1999-09-21

    We have developed a fully automatic measurement set-up, capable of measuring light yields arising from scintillating crystals in a linear range of about four orders of magnitude. The photodetector is a hybrid photomultiplier tube specially developed to optimize linear range and photon detection. Crystal and photodetector are temperature controlled by a closed water circuit, as this is essential when measuring low light yield scintillating crystals with a marked temperature dependence of their light yield. Gamma sources can be placed either on top or on the side of the crystal. In this latter case, the source can be automatically moved by a computer-controlled step motor to provide a uniformity profile of the light yield along the crystal. Tagged and not-tagged operation modes are possible. The whole set-up is computer-controlled in an effort to provide fast and reliable measurements, to characterize many crystals per day. This is important for the quality control of the lead tungstate crystals that will be applied in the electromagnetic calorimeter of the CMS-detector at the LHC at CERN. (author)

  17. A Randomized, Crossover Trial of a Novel Sound-to-Sleep Mattress Technology in Children with Autism and Sleep Difficulties.

    Science.gov (United States)

    Frazier, Thomas W; Krishna, Jyoti; Klingemier, Eric; Beukemann, Mary; Nawabit, Rawan; Ibrahim, Sally

    2017-01-15

    This preliminary study investigated the tolerability and efficacy of a novel mattress technology-the Sound-To-Sleep (STS) system-in the treatment of sleep problems in children with autism. After screening, 45 children, ages 2.5 to 12.9 years, were randomized to order of mattress technology use (On-Off vs. Off-On). Treatment conditions (On vs. Off) lasted two weeks with immediate crossover. Tolerability, including study discontinuation and parent-report of mattress tolerance and ease of use, was tracked throughout the study. Efficacy assessments were obtained at baseline, prior to crossover, and end of study and included measures of autism traits, other psychopathology symptoms, sensory abnormalities, communication difficulties, quality of life, sleep diary parameters, and single-blinded actigraphy-derived sleep parameters. Statistical analyses evaluated differences in tolerability and efficacy when the STS system was on versus off. STS system use was well tolerated (n = 2, 4.4% dropout) and resulted in parent-reported sleep quality improvements (STS off mean = 4.3, 95% CI = 4.05-4.54 vs. on mean = 4.9, 95%CI = 4.67-5.14). The technology was described by parents as very easy to use and child tolerance was rated as good. Parent-diary outcomes indicated improvements in falling asleep and reduced daytime challenging behavior. Actigraphy-derived sleep parameters indicated improved sleep duration and sleep efficiency. Improvements in child and family quality of life were identified on parent questionnaires. A future large sample phase 2 trial of the STS system is warranted and would benefit from extended study duration, an objective primary efficacy outcome, and careful attention to methodological issues that promote compliance with the intervention and study procedures. © 2017 American Academy of Sleep Medicine

  18. An analysis of fast critical experiments using JEF-1-based 50-group constant set

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Jung Do; Gil, Choong Sup; Kim, Young Cheol [Korea Atomic Energy Research Institute, Taejon (Korea, Republic of)

    1993-09-01

    JEF-1-based 50-group cross section set for fast reactor calculations was generated using NJOY system. The set was then examined by analyzing measured integral quantities such as criticality and central reaction rate ratios for 27 fast critical assemblies. The calculated results using the new set were also compared with those of ENDF/B-IV or -V based fast set. In general, the JEF-1-based set shows an improvement in predicting measured integral quantities in comparison with the previous set. With a few exceptions, JEF-1 results are compareble to those of ENDF/B-V.

  19. A retrospective study to determine the incidence of pressure ulcers in burn patients using a low air loss pressure relieving mattress.

    Science.gov (United States)

    Still, Joseph M; Wilson, Joan; Rinker, Connie; Law, Edward; Craft-Coffman, Beretta

    2003-06-01

    In immobilized patients, unrelieved pressure can create decubitus ulcers over bony prominences. Those burn patients who require prolonged bed rest, are prone to the development of such problems. Various methods of reducing pressure on these areas, including frequent turning and the use of air fluidized and low air loss beds, have been adopted to attempt to prevent the development of this complication. The Pegasus Renaissance alternating pressure mattress is such a device, intended to reduce the incidence of decubitus ulcers. It was introduced at our burn unit and evaluated over a 29-month period. During the study period, 186 (13.4%) of 1390 acutely burned patients, believed to be at high risk for the development of decubiti, were placed on this mattress. Other patients were treated in the standard hospital bed. Care was otherwise the same. No decubitus ulcers developed in any of the patients treated on the Pegasus Renaissance mattress.

  20. Avatar-Based Therapy within Prison Settings: Pilot Evaluation

    Science.gov (United States)

    van Rijn, Biljana; Cooper, Mick; Jackson, Andrew; Wild, Ciara

    2017-01-01

    The paper presents an introduction of a newly developed, avatar-based virtual reality therapy, as an addition to the therapeutic programme, within a therapeutic community prison in the UK. The participants had six group sessions facilitated by a counsellor. The aim of the project was to investigate whether this approach would improve mental health…

  1. Generating concept representations from examples, using set-based notation

    DEFF Research Database (Denmark)

    Galle, Per

    2000-01-01

    A database or knowledge-based system must draw on a conceptual schema that defines the domain concepts with which its user works. In the case of a system for architectural design support, for example, this might be concepts of walls, windows etc. However, making concepts explicit and expressing t...

  2. PID Controller Settings Based on a Transient Response Experiment

    Science.gov (United States)

    Silva, Carlos M.; Lito, Patricia F.; Neves, Patricia S.; Da Silva, Francisco A.

    2008-01-01

    An experimental work on controller tuning for chemical engineering undergraduate students is proposed using a small heat exchange unit. Based upon process reaction curves in open-loop configuration, system gain and time constant are determined for first order model with time delay with excellent accuracy. Afterwards students calculate PID…

  3. Ranking Institutional Settings Based on Publications in Community Psychology Journals

    Science.gov (United States)

    Jason, Leonard A.; Pokorny, Steven B.; Patka, Mazna; Adams, Monica; Morello, Taylor

    2007-01-01

    Two primary outlets for community psychology research, the "American Journal of Community Psychology" and the "Journal of Community Psychology", were assessed to rank institutions based on publication frequency and scientific influence of publications over a 32-year period. Three specific periods were assessed (1973-1983, 1984-1994, 1995-2004).…

  4. Airway management in a bronchoscopic simulator based setting

    DEFF Research Database (Denmark)

    Graeser, Karin; Konge, Lars; Kristensen, Michael S

    2014-01-01

    BACKGROUND: Several simulation-based possibilities for training flexible optical intubation have been developed, ranging from non-anatomical phantoms to high-fidelity virtual reality simulators. These teaching devices might also be used to assess the competence of trainees before allowing them...

  5. EFL LEARNERS’ READING LEARNING IN WEB BASED INSTRUCTION SETTING

    OpenAIRE

    Yusup Supriyono

    2018-01-01

    This research is aimed at exploring reading learning performed by English foreign language learners when Web based instruction is integrated into reading classroom. Teaching learning activity follows the steps:  orientation, discussion, material exploration, action, test, and reflection.  Two data collecting methods—journal and interview are administered to three students of the fourth semester of English Department in University of Siliwangi Tasikmalaya Indonesia after the selected individua...

  6. Applying activity-based costing to healthcare settings.

    Science.gov (United States)

    Canby, J B

    1995-02-01

    Activity-based costing (ABC) focuses on processes that drive cost. By tracing healthcare activities back to events that generate cost, a more accurate measurement of financial performance is possible. This article uses ABC principles and techniques to determine costs associated with the x-ray process in a midsized outpatient clinic. The article also provides several tips for initiating an ABC cost system for an entire healthcare organization.

  7. The setting for ground based augmentation system station

    Science.gov (United States)

    Ni, Yude; Liu, Ruihua

    2007-11-01

    Based on the minimum field strength requirement within the whole GBAS service volume, this paper performs nominal link power budget for GBAS VHF data broadcast (VDB) system, and the required power transmitted from VDB system is derived. The paper elaborates the requirement of Desired-to-Undesired (D/U) signal ratio for a specific VHF airborne receiver to ensure the normal operation by the test, and presents the experimental method and results for acquiring the D/U signal ratios. The minimum geographical separations among GBAS, VOR and ILS stations are calculated according to the specifications of these three kinds of navigation systems.

  8. Multi-phase flow monitoring with electrical impedance tomography using level set based method

    International Nuclear Information System (INIS)

    Liu, Dong; Khambampati, Anil Kumar; Kim, Sin; Kim, Kyung Youn

    2015-01-01

    Highlights: • LSM has been used for shape reconstruction to monitor multi-phase flow using EIT. • Multi-phase level set model for conductivity is represented by two level set functions. • LSM handles topological merging and breaking naturally during evolution process. • To reduce the computational time, a narrowband technique was applied. • Use of narrowband and optimization approach results in efficient and fast method. - Abstract: In this paper, a level set-based reconstruction scheme is applied to multi-phase flow monitoring using electrical impedance tomography (EIT). The proposed scheme involves applying a narrowband level set method to solve the inverse problem of finding the interface between the regions having different conductivity values. The multi-phase level set model for the conductivity distribution inside the domain is represented by two level set functions. The key principle of the level set-based method is to implicitly represent the shape of interface as the zero level set of higher dimensional function and then solve a set of partial differential equations. The level set-based scheme handles topological merging and breaking naturally during the evolution process. It also offers several advantages compared to traditional pixel-based approach. Level set-based method for multi-phase flow is tested with numerical and experimental data. It is found that level set-based method has better reconstruction performance when compared to pixel-based method

  9. Behavior-based cleaning for unreliable RFID data sets.

    Science.gov (United States)

    Fan, Hua; Wu, Quanyuan; Lin, Yisong

    2012-01-01

    Radio Frequency IDentification (RFID) technology promises to revolutionize the way we track items and assets, but in RFID systems, missreading is a common phenomenon and it poses an enormous challenge to RFID data management, so accurate data cleaning becomes an essential task for the successful deployment of systems. In this paper, we present the design and development of a RFID data cleaning system, the first declarative, behavior-based unreliable RFID data smoothing system. We take advantage of kinematic characteristics of tags to assist in RFID data cleaning. In order to establish the conversion relationship between RFID data and kinematic parameters of the tags, we propose a movement behavior detection model. Moreover, a Reverse Order Filling Mechanism is proposed to ensure a more complete access to get the movement behavior characteristics of tag. Finally, we validate our solution with a common RFID application and demonstrate the advantages of our approach through extensive simulations.

  10. Managing Human Resource based Intellectual Capital in a Global setting

    DEFF Research Database (Denmark)

    Gretzinger, Susanne; Lemke, Sarah; Matiaske, Wenzel

    2014-01-01

    From a strategic management perspective human capital and the embedded knowledge can be viewed as intellectual capital and became inevitably important for companies in general as well as for multinationals. While national companies just have to (re-)combine resources within a homogeneous...... if culturally differentiated incentive systems are necessary for optimised retention management? In the empirical part of this study it was made us of data from 32 countries. The research results reveal a moderating impact of cultural dimensions and therefore a cultural dependency for the effectiveness...... of incentives on retention management and therewith implicates that retention management is significant for the process of developing and fostering a MNCs intellectual capital. To improve their human-resource based intellectual capital MNCs have to adapt their initiatives to the cultural background...

  11. On the Relationship between Variational Level Set-Based and SOM-Based Active Contours

    Science.gov (United States)

    Abdelsamea, Mohammed M.; Gnecco, Giorgio; Gaber, Mohamed Medhat; Elyan, Eyad

    2015-01-01

    Most Active Contour Models (ACMs) deal with the image segmentation problem as a functional optimization problem, as they work on dividing an image into several regions by optimizing a suitable functional. Among ACMs, variational level set methods have been used to build an active contour with the aim of modeling arbitrarily complex shapes. Moreover, they can handle also topological changes of the contours. Self-Organizing Maps (SOMs) have attracted the attention of many computer vision scientists, particularly in modeling an active contour based on the idea of utilizing the prototypes (weights) of a SOM to control the evolution of the contour. SOM-based models have been proposed in general with the aim of exploiting the specific ability of SOMs to learn the edge-map information via their topology preservation property and overcoming some drawbacks of other ACMs, such as trapping into local minima of the image energy functional to be minimized in such models. In this survey, we illustrate the main concepts of variational level set-based ACMs, SOM-based ACMs, and their relationship and review in a comprehensive fashion the development of their state-of-the-art models from a machine learning perspective, with a focus on their strengths and weaknesses. PMID:25960736

  12. Association test based on SNP set: logistic kernel machine based test vs. principal component analysis.

    Directory of Open Access Journals (Sweden)

    Yang Zhao

    Full Text Available GWAS has facilitated greatly the discovery of risk SNPs associated with complex diseases. Traditional methods analyze SNP individually and are limited by low power and reproducibility since correction for multiple comparisons is necessary. Several methods have been proposed based on grouping SNPs into SNP sets using biological knowledge and/or genomic features. In this article, we compare the linear kernel machine based test (LKM and principal components analysis based approach (PCA using simulated datasets under the scenarios of 0 to 3 causal SNPs, as well as simple and complex linkage disequilibrium (LD structures of the simulated regions. Our simulation study demonstrates that both LKM and PCA can control the type I error at the significance level of 0.05. If the causal SNP is in strong LD with the genotyped SNPs, both the PCA with a small number of principal components (PCs and the LKM with kernel of linear or identical-by-state function are valid tests. However, if the LD structure is complex, such as several LD blocks in the SNP set, or when the causal SNP is not in the LD block in which most of the genotyped SNPs reside, more PCs should be included to capture the information of the causal SNP. Simulation studies also demonstrate the ability of LKM and PCA to combine information from multiple causal SNPs and to provide increased power over individual SNP analysis. We also apply LKM and PCA to analyze two SNP sets extracted from an actual GWAS dataset on non-small cell lung cancer.

  13. Pressure ulcer incidence and progression in critically ill subjects: influence of low air loss mattress versus a powered air pressure redistribution mattress.

    Science.gov (United States)

    Black, Joyce; Berke, Christine; Urzendowski, Gail

    2012-01-01

    The primary objective of this study was to compare facility-acquired pressure ulcer incidence and progression of pressure ulcers present on admission in critically ill patients, using 2 different support surfaces. We completed a comparison cohort study in a surgical intensive care unit (ICU). The study setting was a 12-bed cardiovascular ICU in a university-based hospital in the Midwestern United States. The sample comprised 52 critically ill patients; 31 were placed on low air loss weight-based pressure redistribution-microclimate management system beds and 21 were placed on integrated powered air pressure redistribution beds. Prior to the start of the study, 5 low airloss beds were placed in open rooms in the cardiovascular surgical ICU. Inclusion criteria were anticipated ICU stay of 3 days, and patients did not receive a speciality bed for pulmonary or wound issues. Initial assessment of the patients included risk assessment and prior events that would increase risk for pressure ulcer development such as extended time in operating room, along with skin assessment for existing pressure ulcers. Subjects in both groups had ongoing skin assessment every 3 to 4 days and a subjective evaluation of heel elevation and turning or repositioning by the researcher. Data were collected until the subjects were dismissed from the ICU. Patients admitted to the unit were assigned to open rooms following the usual protocols. The mean length of stay was 7.0 days, with an 8.1-day length of stay for subjects on "low air loss with microclimate management" beds (LAL-MCM) and 6.6 days on the integrated power pressure air redistribution (IP-AR) beds (P = NS). The incidence of pressure ulcers on the buttocks, sacrum, or coccyx was 0% (0/31) on the low air loss bed and 18% (4/21) on the IP-AR bed (P = .046). Five subjects had 6 pressure ulcers on admission. Two pressure ulcers on 2 patients worsened on the integrated power air redistribution beds, which required specialty bed rental

  14. Allgöwer-Donati Versus Vertical Mattress Suture Technique Impact on Perfusion in Ankle Fracture Surgery: A Randomized Clinical Trial Using Intraoperative Angiography.

    Science.gov (United States)

    Shannon, Steven F; Houdek, Matthew T; Wyles, Cody C; Yuan, Brandon J; Cross, William W; Cass, Joseph R; Sems, Stephen A

    2017-02-01

    The purpose of this study was to evaluate which primary wound closure technique for ankle fractures affords the most robust perfusion as measured by laser-assisted indocyanine green angiography: Allgöwer-Donati or vertical mattress. Prospective, randomized. Level 1 Academic Trauma Center. Thirty patients undergoing open reduction internal fixation for ankle fractures were prospectively randomized to Allgöwer-Donati (n = 15) or vertical mattress (n = 15) closure. Demographics were similar for both cohorts with respect to age, sex, body mass index, surgical timing, and OTA/AO fracture classification. Skin perfusion (mean incision perfusion and mean perfusion impairment) was quantified in fluorescence units with laser-assisted indocyanine green angiography along the lateral incision as well as anterior and posterior to the incision at 30 separate locations. Minimum follow-up was 3 months with a mean follow-up 4.7 months. Allgöwer-Donati enabled superior perfusion compared with the vertical mattress suture technique. Mean incision perfusion for Allgöwer-Donati was 51 (SD = 13) and for vertical mattress was 28 (SD = 10, P ankle fractures. Theoretically, this may enhance soft tissue healing and decrease the risk of wound complications. Surgeons may take this into consideration when deciding closure techniques for ankle fractures. Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.

  15. Technical and tactical performance indicators based on the outcome of the set in the school volleyball

    Directory of Open Access Journals (Sweden)

    Yago Pessoa da Costa

    2017-09-01

    Full Text Available The aim of the study was to identify and compare the technical and tactical performance indicators based on the outcome of the set in the school female volleyball. The study included 110 athletes, aged between 12 and 14 years, belonging to 11 teams. Fifty-eight sets of 28 games were filmed and 7194 actions, 2830 serves, 2157 serve reception, 1358 passes and 1299 attacks were analyzed. Afterwards, the game sets were divided into winners and losers sets. Teams that won the sets had advantage at the serve reception, set and attack on error and excellence/point criteria (p< 0.05 and of serve, set and attack (p< 0.001. In conclusion, the winner’s sets were those with a better technical-tactical performance quantitatively and qualitatively.

  16. Set-Based Discrete Particle Swarm Optimization Based on Decomposition for Permutation-Based Multiobjective Combinatorial Optimization Problems.

    Science.gov (United States)

    Yu, Xue; Chen, Wei-Neng; Gu, Tianlong; Zhang, Huaxiang; Yuan, Huaqiang; Kwong, Sam; Zhang, Jun

    2017-08-07

    This paper studies a specific class of multiobjective combinatorial optimization problems (MOCOPs), namely the permutation-based MOCOPs. Many commonly seen MOCOPs, e.g., multiobjective traveling salesman problem (MOTSP), multiobjective project scheduling problem (MOPSP), belong to this problem class and they can be very different. However, as the permutation-based MOCOPs share the inherent similarity that the structure of their search space is usually in the shape of a permutation tree, this paper proposes a generic multiobjective set-based particle swarm optimization methodology based on decomposition, termed MS-PSO/D. In order to coordinate with the property of permutation-based MOCOPs, MS-PSO/D utilizes an element-based representation and a constructive approach. Through this, feasible solutions under constraints can be generated step by step following the permutation-tree-shaped structure. And problem-related heuristic information is introduced in the constructive approach for efficiency. In order to address the multiobjective optimization issues, the decomposition strategy is employed, in which the problem is converted into multiple single-objective subproblems according to a set of weight vectors. Besides, a flexible mechanism for diversity control is provided in MS-PSO/D. Extensive experiments have been conducted to study MS-PSO/D on two permutation-based MOCOPs, namely the MOTSP and the MOPSP. Experimental results validate that the proposed methodology is promising.

  17. Proposal for a Simplified Management of Accelerator Settings in the Injector Complex Based on Automatic Setting Propagation

    CERN Document Server

    Damerau, Heiko

    2018-01-01

    With the increasing number of beams with different characteristics the number of controls settings to pilot the accelerator hardware has grown proportionally. In addition new hardware often comes with more possibilities to configure its behaviour, also requiring more parameters to be set. Both factors have lead to a significant growth of the number of set values to control the accelerators in the injector complex. To keep track of this myriad of settings, an automatic setting propagation mechanism is suggested. It allows to group cycles in families which partly share the same settings. This is in particular efficient for cycles where most of the settings must be identical, which is the case for many beams, e.g., in the PS.

  18. Novel multiple criteria decision making methods based on bipolar neutrosophic sets and bipolar neutrosophic graphs

    OpenAIRE

    Muhammad, Akram; Musavarah, Sarwar

    2016-01-01

    In this research study, we introduce the concept of bipolar neutrosophic graphs. We present the dominating and independent sets of bipolar neutrosophic graphs. We describe novel multiple criteria decision making methods based on bipolar neutrosophic sets and bipolar neutrosophic graphs. We also develop an algorithm for computing domination in bipolar neutrosophic graphs.

  19. Personality Traits and Performance in Online Game-Based Learning: Collaborative versus Individual Settings

    Science.gov (United States)

    Lara, Miguel Angel

    2013-01-01

    Extant research indicates that, in face-to-face settings, cooperative learning and game-based learning strategies can be effective. However, in online settings (e.g., in distance education), there is a paucity of research in this area. This study was designed to investigate performance and attitudes of university students who played an educational…

  20. Fast parallel DNA-based algorithms for molecular computation: the set-partition problem.

    Science.gov (United States)

    Chang, Weng-Long

    2007-12-01

    This paper demonstrates that basic biological operations can be used to solve the set-partition problem. In order to achieve this, we propose three DNA-based algorithms, a signed parallel adder, a signed parallel subtractor and a signed parallel comparator, that formally verify our designed molecular solutions for solving the set-partition problem.

  1. An open-loop, physiologic model-based decision support system can provide appropriate ventilator settings

    DEFF Research Database (Denmark)

    Karbing, Dan Stieper; Spadaro, Savino; Dey, Nilanjan

    2018-01-01

    OBJECTIVES: To evaluate the physiologic effects of applying advice on mechanical ventilation by an open-loop, physiologic model-based clinical decision support system. DESIGN: Prospective, observational study. SETTING: University and Regional Hospitals' ICUs. PATIENTS: Varied adult ICU population...

  2. A Step towards a Sharable Community Knowledge Base for WRF Settings -Developing a WRF Setting Methodology based on a case study in a Torrential Rainfall Event

    Science.gov (United States)

    CHU, Q.; Xu, Z.; Zhuo, L.; Han, D.

    2016-12-01

    Increased requirements for interactions between different disciplines and readily access to the numerical weather forecasting system featured with portability and extensibility have made useful contribution to the increases of downstream model users in WRF over recent years. For these users, a knowledge base classified by the representative events would be much helpful. This is because the determination of model settings is regarded as the most important steps in WRF. However, such a process is generally time-consuming, even if with a high computational platform. As such, we propose a sharable proper lookup table on WRF domain settings and corresponding procedures based on a representative torrential rainfall event in Beijing, China. It has been found that WRF's simulations' drift away from the input lateral boundary conditions can be significantly reduced with the adjustment of the domain settings. Among all the impact factors, the placement of nested domain can not only affect the moving speed and angle of the storm-center, but also the location and amount of heavy-rain-belt which can only be detected with adjusted spatial resolutions. Spin-up time is also considered in the model settings, which is demonstrated to have the most obvious influence on the accuracy of the simulations. This conclusion is made based on the large diversity of spatial distributions of precipitation, in terms of the amount of heavy rain varied from -30% to 58% among each experiment. After following all the procedures, the variations of domain settings have minimal effect on the modeling and show the best correlation (larger than 0.65) with fusion observations. So the model settings, including domain size covering the greater Beijing area, 1:5:5 downscaling ratio, 57 vertical levels with top of 50hpa and 60h spin-up time, are found suitable for predicting the similar convective torrential rainfall event in Beijing area. We hope that the procedure for building the community WRF knowledge

  3. Using Mathematical Modeling and Set-Based Design Principles to Recommend an Existing CVL Design

    Science.gov (United States)

    2017-09-01

    MATHEMATICAL MODELING AND SET-BASED DESIGN PRINCIPLES TO RECOMMEND AN EXISTING CVL DESIGN by William H. Ehlies September 2017 Thesis Advisor...Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington, DC 20503. 1. AGENCY USE ONLY (Leave blank) 2. REPORT DATE...September 2017 3. REPORT TYPE AND DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE USING MATHEMATICAL MODELING AND SET-BASED DESIGN PRINCIPLES

  4. A Nonparametric, Multiple Imputation-Based Method for the Retrospective Integration of Data Sets

    Science.gov (United States)

    Carrig, Madeline M.; Manrique-Vallier, Daniel; Ranby, Krista W.; Reiter, Jerome P.; Hoyle, Rick H.

    2015-01-01

    Complex research questions often cannot be addressed adequately with a single data set. One sensible alternative to the high cost and effort associated with the creation of large new data sets is to combine existing data sets containing variables related to the constructs of interest. The goal of the present research was to develop a flexible, broadly applicable approach to the integration of disparate data sets that is based on nonparametric multiple imputation and the collection of data from a convenient, de novo calibration sample. We demonstrate proof of concept for the approach by integrating three existing data sets containing items related to the extent of problematic alcohol use and associations with deviant peers. We discuss both necessary conditions for the approach to work well and potential strengths and weaknesses of the method compared to other data set integration approaches. PMID:26257437

  5. Patient-Centered Goal Setting in a Hospital-Based Outpatient Stroke Rehabilitation Center.

    Science.gov (United States)

    Rice, Danielle B; McIntyre, Amanda; Mirkowski, Magdalena; Janzen, Shannon; Viana, Ricardo; Britt, Eileen; Teasell, Robert

    2017-09-01

    Goal-setting can have a positive impact on stroke recovery during rehabilitation. Patient participation in goal formulation can ensure that personally relevant goals are set, and can result in greater satisfaction with the rehabilitation experience, along with improved recovery of stroke deficits. This, however, not yet been studied in a stroke outpatient rehabilitation setting. To assess patient satisfaction of meeting self-selected goals during outpatient rehabilitation following a stroke. Retrospective chart review. Stroke patients enrolled in a multidisciplinary outpatient rehabilitation program, who set at least 1 goal during rehabilitation. Patients recovering from a stroke received therapy through the outpatient rehabilitation program between January 2010 and December 2013. Upon admission and discharge from rehabilitation, patients rated their satisfaction with their ability to perform goals that they wanted to achieve. Researchers independently sorted and labeled recurrent themes of goals. Goals were further sorted into International Classification of Functioning, Disability and Health (ICF) categories. To compare the perception of patients' goal satisfaction, repeated-measures analysis of variance was conducted across the 3 ICF goal categorizations. Goal satisfaction scores. A total of 286 patients were included in the analysis. Patient goals concentrated on themes of improving hand function, mobility, and cognition. Goals were also sorted into ICF categories in which impairment-based and activity limitation-based goals were predominant. Compared to activity-based and participation-based goals, patients with impairment-based goals perceived greater satisfaction with meeting their goals at admission and discharge (P rehabilitation program (P stroke rehabilitation setting, patients set heterogeneous goals that were predominantly impairment based. Satisfaction in achieving goals significantly improved after receiving therapy. The type of goals that patients

  6. Matched molecular pair-based data sets for computer-aided medicinal chemistry

    Science.gov (United States)

    Bajorath, Jürgen

    2014-01-01

    Matched molecular pairs (MMPs) are widely used in medicinal chemistry to study changes in compound properties including biological activity, which are associated with well-defined structural modifications. Herein we describe up-to-date versions of three MMP-based data sets that have originated from in-house research projects. These data sets include activity cliffs, structure-activity relationship (SAR) transfer series, and second generation MMPs based upon retrosynthetic rules. The data sets have in common that they have been derived from compounds included in the ChEMBL database (release 17) for which high-confidence activity data are available. Thus, the activity data associated with MMP-based activity cliffs, SAR transfer series, and retrosynthetic MMPs cover the entire spectrum of current pharmaceutical targets. Our data sets are made freely available to the scientific community. PMID:24627802

  7. Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications

    Science.gov (United States)

    Zhou, Zhongmei; Wang, Weiping

    2014-01-01

    The Internet of things (IOT) is a hot issue in recent years. It accumulates large amounts of data by IOT users, which is a great challenge to mining useful knowledge from IOT. Classification is an effective strategy which can predict the need of users in IOT. However, many traditional rule-based classifiers cannot guarantee that all instances can be covered by at least two classification rules. Thus, these algorithms cannot achieve high accuracy in some datasets. In this paper, we propose a new rule-based classification, CDCR-P (Classification based on the Pruning and Double Covered Rule sets). CDCR-P can induce two different rule sets A and B. Every instance in training set can be covered by at least one rule not only in rule set A, but also in rule set B. In order to improve the quality of rule set B, we take measure to prune the length of rules in rule set B. Our experimental results indicate that, CDCR-P not only is feasible, but also it can achieve high accuracy. PMID:24511304

  8. Classification based on pruning and double covered rule sets for the internet of things applications.

    Science.gov (United States)

    Li, Shasha; Zhou, Zhongmei; Wang, Weiping

    2014-01-01

    The Internet of things (IOT) is a hot issue in recent years. It accumulates large amounts of data by IOT users, which is a great challenge to mining useful knowledge from IOT. Classification is an effective strategy which can predict the need of users in IOT. However, many traditional rule-based classifiers cannot guarantee that all instances can be covered by at least two classification rules. Thus, these algorithms cannot achieve high accuracy in some datasets. In this paper, we propose a new rule-based classification, CDCR-P (Classification based on the Pruning and Double Covered Rule sets). CDCR-P can induce two different rule sets A and B. Every instance in training set can be covered by at least one rule not only in rule set A, but also in rule set B. In order to improve the quality of rule set B, we take measure to prune the length of rules in rule set B. Our experimental results indicate that, CDCR-P not only is feasible, but also it can achieve high accuracy.

  9. Parental Perceptions of Child Care Quality in Centre-Based and Home-Based Settings: Associations with External Quality Ratings

    Science.gov (United States)

    Lehrer, Joanne S.; Lemay, Lise; Bigras, Nathalie

    2015-01-01

    The current study examined how parental perceptions of child care quality were related to external quality ratings and considered how parental perceptions of quality varied according to child care context (home-based or centre-based settings). Parents of 179 4-year-old children who attended child care centres (n = 141) and home-based settings…

  10. Timetable-based simulation method for choice set generation in large-scale public transport networks

    DEFF Research Database (Denmark)

    Rasmussen, Thomas Kjær; Anderson, Marie Karen; Nielsen, Otto Anker

    2016-01-01

    The composition and size of the choice sets are a key for the correct estimation of and prediction by route choice models. While existing literature has posed a great deal of attention towards the generation of path choice sets for private transport problems, the same does not apply to public...... transport problems. This study proposes a timetable-based simulation method for generating path choice sets in a multimodal public transport network. Moreover, this study illustrates the feasibility of its implementation by applying the method to reproduce 5131 real-life trips in the Greater Copenhagen Area...... and to assess the choice set quality in a complex multimodal transport network. Results illustrate the applicability of the algorithm and the relevance of the utility specification chosen for the reproduction of real-life path choices. Moreover, results show that the level of stochasticity used in choice set...

  11. Mindfulness-based cognitive therapy for depressed individuals improves suppression of irrelevant mental-sets.

    Science.gov (United States)

    Greenberg, Jonathan; Shapero, Benjamin G; Mischoulon, David; Lazar, Sara W

    2017-04-01

    An impaired ability to suppress currently irrelevant mental-sets is a key cognitive deficit in depression. Mindfulness-based cognitive therapy (MBCT) was specifically designed to help depressed individuals avoid getting caught in such irrelevant mental-sets. In the current study, a group assigned to MBCT plus treatment-as-usual (n = 22) exhibited significantly lower depression scores and greater improvements in irrelevant mental-set suppression compared to a wait-list plus treatment-as-usual (n = 18) group. Improvements in mental-set-suppression were associated with improvements in depression scores. Results provide the first evidence that MBCT can improve suppression of irrelevant mental-sets and that such improvements are associated with depressive alleviation.

  12. Lessons learned from setting up the NOWESP research data base: Experiences in an interdisciplinary research project

    Science.gov (United States)

    Radach, Günther; Gekeler, Jens

    1996-09-01

    Research carried out within the framework of the MAST project NOWESP (North-West European Shelf Programme) was based on a multi-parameter data set of existing marine data, relevant for estimating trends, variability and fluxes on the Northwest European Shelf. The data sets were provided by the partners of the project. Additional data sets were obtained from several other institutions. During the project, the data were organized in the NOWESP Research Data Base (NRDB), for which a special data base scheme was defined that was capable of storing different types of marine data. Data products, like time series and interpolated fields, were provided to the partners for analysis (Radach et al. [1997]). After three years of project time, the feasibility of such an approach is discussed. Ways of optimizing data access and evaluation are proposed. A project-oriented Research Data Base is a useful tool because of its flexibility and proximity to the research being carried out. However, several requirements must be met to derive optimum benefits from this type of service unit. Since this task usually is carried out by a limited number of staff, an early start of project data management is recommended. To enable future projects to succeed in an analogous compilation of relevant data for their use, as performed in NOWESP, the task of organizing the data sets for any short-term project should be shared between a research data base group and a national or international data centre whose experience and software could be used. It must be ensured that only quality controlled data sets from the individual data-produ cing projects are delivered to the national data centres. It is recommended that data quality control should be performed by the originators and/or data centres before delivering any data sets to the research data base. Delivery of the (full) data sets should be checked and their quality should be approved by authorized data centres.

  13. Knowledge Reduction Based on Divide and Conquer Method in Rough Set Theory

    Directory of Open Access Journals (Sweden)

    Feng Hu

    2012-01-01

    Full Text Available The divide and conquer method is a typical granular computing method using multiple levels of abstraction and granulations. So far, although some achievements based on divided and conquer method in the rough set theory have been acquired, the systematic methods for knowledge reduction based on divide and conquer method are still absent. In this paper, the knowledge reduction approaches based on divide and conquer method, under equivalence relation and under tolerance relation, are presented, respectively. After that, a systematic approach, named as the abstract process for knowledge reduction based on divide and conquer method in rough set theory, is proposed. Based on the presented approach, two algorithms for knowledge reduction, including an algorithm for attribute reduction and an algorithm for attribute value reduction, are presented. Some experimental evaluations are done to test the methods on uci data sets and KDDCUP99 data sets. The experimental results illustrate that the proposed approaches are efficient to process large data sets with good recognition rate, compared with KNN, SVM, C4.5, Naive Bayes, and CART.

  14. Effect evaluation of a heated ambulance mattress-prototype on thermal comfort and patients' temperatures in prehospital emergency care - an intervention study.

    Science.gov (United States)

    Aléx, Jonas; Karlsson, Stig; Björnstig, Ulf; Saveman, Britt-Inger

    2015-01-01

    Background The ambulance milieu does not offer good thermal comfort to patients during the cold Swedish winters. Patients' exposure to cold temperatures combined with a cold ambulance mattress seems to be the major factor leading to an overall sensation of discomfort. There is little research on the effect of active heat delivered from underneath in ambulance care. Therefore, the aim of this study was to evaluate the effect of an electrically heated ambulance mattress-prototype on thermal comfort and patients' temperatures in the prehospital emergency care. Methods A quantitative intervention study on ambulance care was conducted in the north of Sweden. The ambulance used for the intervention group (n=30) was equipped with an electrically heated mattress on the regular ambulance stretcher whereas for the control group (n=30) no active heat was provided on the stretcher. Outcome variables were measured as thermal comfort on the Cold Discomfort Scale (CDS), subjective comments on cold experiences, and finger, ear and air temperatures. Results Thermal comfort, measured by CDS, improved during the ambulance transport to the emergency department in the intervention group (p=0.001) but decreased in the control group (p=0.014). A significant higher proportion (57%) of the control group rated the stretcher as cold to lie down compared to the intervention group (3%, pthermal comfort and may prevent the negative consequences of cold stress.

  15. Effect evaluation of a heated ambulance mattress-prototype on thermal comfort and patients' temperatures in prehospital emergency care--an intervention study.

    Science.gov (United States)

    Aléx, Jonas; Karlsson, Stig; Björnstig, Ulf; Saveman, Britt-Inger

    2015-01-01

    The ambulance milieu does not offer good thermal comfort to patients during the cold Swedish winters. Patients' exposure to cold temperatures combined with a cold ambulance mattress seems to be the major factor leading to an overall sensation of discomfort. There is little research on the effect of active heat delivered from underneath in ambulance care. Therefore, the aim of this study was to evaluate the effect of an electrically heated ambulance mattress-prototype on thermal comfort and patients' temperatures in the prehospital emergency care. A quantitative intervention study on ambulance care was conducted in the north of Sweden. The ambulance used for the intervention group (n=30) was equipped with an electrically heated mattress on the regular ambulance stretcher whereas for the control group (n=30) no active heat was provided on the stretcher. Outcome variables were measured as thermal comfort on the Cold Discomfort Scale (CDS), subjective comments on cold experiences, and finger, ear and air temperatures. Thermal comfort, measured by CDS, improved during the ambulance transport to the emergency department in the intervention group (p=0.001) but decreased in the control group (p=0.014). A significant higher proportion (57%) of the control group rated the stretcher as cold to lie down compared to the intervention group (3%, pthermal comfort and may prevent the negative consequences of cold stress.

  16. Comparative study on gene set and pathway topology-based enrichment methods.

    Science.gov (United States)

    Bayerlová, Michaela; Jung, Klaus; Kramer, Frank; Klemm, Florian; Bleckmann, Annalen; Beißbarth, Tim

    2015-10-22

    Enrichment analysis is a popular approach to identify pathways or sets of genes which are significantly enriched in the context of differentially expressed genes. The traditional gene set enrichment approach considers a pathway as a simple gene list disregarding any knowledge of gene or protein interactions. In contrast, the new group of so called pathway topology-based methods integrates the topological structure of a pathway into the analysis. We comparatively investigated gene set and pathway topology-based enrichment approaches, considering three gene set and four topological methods. These methods were compared in two extensive simulation studies and on a benchmark of 36 real datasets, providing the same pathway input data for all methods. In the benchmark data analysis both types of methods showed a comparable ability to detect enriched pathways. The first simulation study was conducted with KEGG pathways, which showed considerable gene overlaps between each other. In this study with original KEGG pathways, none of the topology-based methods outperformed the gene set approach. Therefore, a second simulation study was performed on non-overlapping pathways created by unique gene IDs. Here, methods accounting for pathway topology reached higher accuracy than the gene set methods, however their sensitivity was lower. We conducted one of the first comprehensive comparative works on evaluating gene set against pathway topology-based enrichment methods. The topological methods showed better performance in the simulation scenarios with non-overlapping pathways, however, they were not conclusively better in the other scenarios. This suggests that simple gene set approach might be sufficient to detect an enriched pathway under realistic circumstances. Nevertheless, more extensive studies and further benchmark data are needed to systematically evaluate these methods and to assess what gain and cost pathway topology information introduces into enrichment analysis. Both

  17. Composites Similarity Analysis Method Based on Knowledge Set in Composites Quality Control

    OpenAIRE

    Li Haifeng

    2016-01-01

    Composites similarity analysis is an important link of composites review, it can not only to declare composites review rechecking, still help composites applicants promptly have the research content relevant progress and avoid duplication. This paper mainly studies the composites similarity model in composites review. With the actual experience of composites management, based on the author’s knowledge set theory, paper analyzes deeply knowledge set representation of composites knowledge, impr...

  18. A Novel Rough Set Reduct Algorithm for Medical Domain Based on Bee Colony Optimization

    OpenAIRE

    Suguna, N.; Thanushkodi, K.

    2010-01-01

    Feature selection refers to the problem of selecting relevant features which produce the most predictive outcome. In particular, feature selection task is involved in datasets containing huge number of features. Rough set theory has been one of the most successful methods used for feature selection. However, this method is still not able to find optimal subsets. This paper proposes a new feature selection method based on Rough set theory hybrid with Bee Colony Optimization (BCO) in an attempt...

  19. Multi person detection and tracking based on hierarchical level-set method

    Science.gov (United States)

    Khraief, Chadia; Benzarti, Faouzi; Amiri, Hamid

    2018-04-01

    In this paper, we propose an efficient unsupervised method for mutli-person tracking based on hierarchical level-set approach. The proposed method uses both edge and region information in order to effectively detect objects. The persons are tracked on each frame of the sequence by minimizing an energy functional that combines color, texture and shape information. These features are enrolled in covariance matrix as region descriptor. The present method is fully automated without the need to manually specify the initial contour of Level-set. It is based on combined person detection and background subtraction methods. The edge-based is employed to maintain a stable evolution, guide the segmentation towards apparent boundaries and inhibit regions fusion. The computational cost of level-set is reduced by using narrow band technique. Many experimental results are performed on challenging video sequences and show the effectiveness of the proposed method.

  20. Towards an ICF- and IMMPACT-based pain vocational rehabilitation core set in the Netherlands.

    Science.gov (United States)

    Reneman, M F; Beemster, T T; Edelaar, M J A; van Velzen, J M; van Bennekom, C; Escorpizo, R

    2013-12-01

    For clinical use and research of pain within the context of vocational rehabilitation, a specific core set of measurements is needed. The recommendations of the International Classification of Functioning, Disability and Health (ICF) brief Core Set for Vocational Rehabilitation (VR) and those of Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) cover two broad areas. These two sources can be integrated when made applicable to vocational rehabilitation and pain. Objective To develop a core set of diagnostic and evaluative measures specifically for vocational rehabilitation of patients with subacute and chronic musculoskeletal pain, while using the brief ICF core set for VR as the reference framework in VR, and the IMMPACT recommendations in the outcome measurements around pain. Three main steps were taken. The first step was to remove irrelevant and duplicate domains of the brief ICF Core Set for Vocational Rehabilitation and the IMMPACT recommendations around pain. The second step was to match the remaining domains with existing instruments or measures. Instruments were proposed based on availability and its proven use in Dutch practice and based on proof of sufficient clinimetric properties. In step 3, the preliminary VR-Pain core set was presented to 3 expert panels: proposed users, Dutch pain rehabilitation experts, and international VR experts. Experts agreed with the majority of the proposed domains and instruments. The final VR-Pain Core Set consists of 18 domains measured with 12 instruments. All instruments possessed basic clinimetric properties. An agreed-upon VR-Pain Core Set with content that covers relevant domains for pain and VR and validated instruments measuring these domains has been developed. The VR-Pain Core Set may be used for regular clinical purposes and research in the field of vocational rehabilitation and pain, but adaptations should be considered for use outside the Netherlands.

  1. Dose Relations between Goal Setting, Theory-Based Correlates of Goal Setting and Increases in Physical Activity during a Workplace Trial

    Science.gov (United States)

    Dishman, Rod K.; Vandenberg, Robert J.; Motl, Robert W.; Wilson, Mark G.; DeJoy, David M.

    2010-01-01

    The effectiveness of an intervention depends on its dose and on moderators of dose, which usually are not studied. The purpose of the study is to determine whether goal setting and theory-based moderators of goal setting had dose relations with increases in goal-related physical activity during a successful workplace intervention. A…

  2. An ILP based memetic algorithm for finding minimum positive influence dominating sets in social networks

    Science.gov (United States)

    Lin, Geng; Guan, Jian; Feng, Huibin

    2018-06-01

    The positive influence dominating set problem is a variant of the minimum dominating set problem, and has lots of applications in social networks. It is NP-hard, and receives more and more attention. Various methods have been proposed to solve the positive influence dominating set problem. However, most of the existing work focused on greedy algorithms, and the solution quality needs to be improved. In this paper, we formulate the minimum positive influence dominating set problem as an integer linear programming (ILP), and propose an ILP based memetic algorithm (ILPMA) for solving the problem. The ILPMA integrates a greedy randomized adaptive construction procedure, a crossover operator, a repair operator, and a tabu search procedure. The performance of ILPMA is validated on nine real-world social networks with nodes up to 36,692. The results show that ILPMA significantly improves the solution quality, and is robust.

  3. SUPRA SOFT SEPARATION AXIOMS AND SUPRA IRRESOLUTENESS BASED ON SUPRA B-SOFT SETS

    OpenAIRE

    Abd El-latif, Alaa Mohamed; Hosny, Rodyna Ahmed

    2016-01-01

    This paper introduces supra soft b-separation axioms based on the supra b-open soft sets which are more general than supra open soft sets. We investigate the relationships between these supra soft separation axioms. Furthermore, with the help of examples it is established that the converse does not hold. We show that, a supra soft topological space (X; t;E) is supra soft b-T1-space, if xE is supra b-closed soft set in for each x 2 X. Also, we prove that xE is supra b-closed soft set for each ...

  4. Improvement of SET variability in TaO x based resistive RAM devices

    Science.gov (United States)

    Schönhals, Alexander; Waser, Rainer; Wouters, Dirk J.

    2017-11-01

    Improvement or at least control of variability is one of the key challenges for Redox based resistive switching memory technology. In this paper, we investigate the impact of a serial resistor as a voltage divider on the SET variability in Pt/Ta2O5/Ta/Pt nano crossbar devices. A partial RESET in a competing complementary switching (CS) mode is identified as a possible failure mechanism of bipolar switching SET in our devices. Due to a voltage divider effect, serial resistance value shows unequal impact on switching voltages of both modes which allows for a selective suppression of the CS mode. The impact of voltage divider on SET variability is demonstrated. A combination of appropriate write voltage and serial resistance allows for a significant improvement of the SET variability.

  5. An exponential combination procedure for set-based association tests in sequencing studies.

    Science.gov (United States)

    Chen, Lin S; Hsu, Li; Gamazon, Eric R; Cox, Nancy J; Nicolae, Dan L

    2012-12-07

    State-of-the-art next-generation-sequencing technologies can facilitate in-depth explorations of the human genome by investigating both common and rare variants. For the identification of genetic factors that are associated with disease risk or other complex phenotypes, methods have been proposed for jointly analyzing variants in a set (e.g., all coding SNPs in a gene). Variants in a properly defined set could be associated with risk or phenotype in a concerted fashion, and by accumulating information from them, one can improve power to detect genetic risk factors. Many set-based methods in the literature are based on statistics that can be written as the summation of variant statistics. Here, we propose taking the summation of the exponential of variant statistics as the set summary for association testing. From both Bayesian and frequentist perspectives, we provide theoretical justification for taking the sum of the exponential of variant statistics because it is particularly powerful for sparse alternatives-that is, compared with the large number of variants being tested in a set, only relatively few variants are associated with disease risk-a distinctive feature of genetic data. We applied the exponential combination gene-based test to a sequencing study in anticancer pharmacogenomics and uncovered mechanistic insights into genes and pathways related to chemotherapeutic susceptibility for an important class of oncologic drugs. Copyright © 2012 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

  6. Molecular basis sets - a general similarity-based approach for representing chemical spaces.

    Science.gov (United States)

    Raghavendra, Akshay S; Maggiora, Gerald M

    2007-01-01

    A new method, based on generalized Fourier analysis, is described that utilizes the concept of "molecular basis sets" to represent chemical space within an abstract vector space. The basis vectors in this space are abstract molecular vectors. Inner products among the basis vectors are determined using an ansatz that associates molecular similarities between pairs of molecules with their corresponding inner products. Moreover, the fact that similarities between pairs of molecules are, in essentially all cases, nonzero implies that the abstract molecular basis vectors are nonorthogonal, but since the similarity of a molecule with itself is unity, the molecular vectors are normalized to unity. A symmetric orthogonalization procedure, which optimally preserves the character of the original set of molecular basis vectors, is used to construct appropriate orthonormal basis sets. Molecules can then be represented, in general, by sets of orthonormal "molecule-like" basis vectors within a proper Euclidean vector space. However, the dimension of the space can become quite large. Thus, the work presented here assesses the effect of basis set size on a number of properties including the average squared error and average norm of molecular vectors represented in the space-the results clearly show the expected reduction in average squared error and increase in average norm as the basis set size is increased. Several distance-based statistics are also considered. These include the distribution of distances and their differences with respect to basis sets of differing size and several comparative distance measures such as Spearman rank correlation and Kruscal stress. All of the measures show that, even though the dimension can be high, the chemical spaces they represent, nonetheless, behave in a well-controlled and reasonable manner. Other abstract vector spaces analogous to that described here can also be constructed providing that the appropriate inner products can be directly

  7. Stabilizing model predictive control of a gantry crane based on flexible set-membership constraints

    NARCIS (Netherlands)

    Iles, Sandor; Lazar, M.; Kolonic, Fetah; Jadranko, Matusko

    2015-01-01

    This paper presents a stabilizing distributed model predictive control of a gantry crane taking into account the variation of cable length. The proposed algorithm is based on the off-line computation of a sequence of 1-step controllable sets and a condition that enables flexible convergence towards

  8. Adapting Evidence-Based Mental Health Treatments in Community Settings: Preliminary Results from a Partnership Approach

    Science.gov (United States)

    Southam-Gerow, Michael A.; Hourigan, Shannon E.; Allin, Robert B., Jr.

    2009-01-01

    This article describes the application of a university-community partnership model to the problem of adapting evidence-based treatment approaches in a community mental health setting. Background on partnership research is presented, with consideration of methodological and practical issues related to this kind of research. Then, a rationale for…

  9. The Potential of Computer-Based Expert Systems for Special Educators in Rural Settings.

    Science.gov (United States)

    Parry, James D.; Ferrara, Joseph M.

    Knowledge-based expert computer systems are addressing issues relevant to all special educators, but are particularly relevant in rural settings where human experts are less available because of distance and cost. An expert system is an application of artificial intelligence (AI) that typically engages the user in a dialogue resembling the…

  10. Assisting differential clinical diagnosis of cattle diseases using smartphone-based technology in low resource settings

    NARCIS (Netherlands)

    Beyene, Tariku Jibat; Eshetu, Amanuel; Abdu, Amina; Wondimu, Etenesh; Beyi, Ashenafi Feyisa; Tufa, Takele Beyene; Ibrahim, Sami

    2017-01-01

    Background: The recent rise in mobile phone use and increased signal coverage has created opportunities for growth of the mobile Health sector in many low resource settings. This pilot study explores the use of a smartphone-based application, VetAfrica-Ethiopia, in assisting diagnosis of cattle

  11. A Set of Free Cross-Platform Authoring Programs for Flexible Web-Based CALL Exercises

    Science.gov (United States)

    O'Brien, Myles

    2012-01-01

    The Mango Suite is a set of three freely downloadable cross-platform authoring programs for flexible network-based CALL exercises. They are Adobe Air applications, so they can be used on Windows, Macintosh, or Linux computers, provided the freely-available Adobe Air has been installed on the computer. The exercises which the programs generate are…

  12. Poverty Lines Based on Fuzzy Sets Theory and Its Application to Malaysian Data

    Science.gov (United States)

    Abdullah, Lazim

    2011-01-01

    Defining the poverty line has been acknowledged as being highly variable by the majority of published literature. Despite long discussions and successes, poverty line has a number of problems due to its arbitrary nature. This paper proposes three measurements of poverty lines using membership functions based on fuzzy set theory. The three…

  13. 13 CFR 106.302 - What provisions must be set forth in a Fee Based Record?

    Science.gov (United States)

    2010-01-01

    ... 13 Business Credit and Assistance 1 2010-01-01 2010-01-01 false What provisions must be set forth in a Fee Based Record? 106.302 Section 106.302 Business Credit and Assistance SMALL BUSINESS... does not constitute or imply an endorsement by SBA of the Donor or the Donor's products or services. ...

  14. A NEW STRATEGY FOR IMPROVING FEATURE SETS IN A DISCRETE HMM­BASED HANDWRITING RECOGNITION SYSTEM

    NARCIS (Netherlands)

    Grandidier, F.; Sabourin, R.; Suen, C.Y.; Gilloux, M.

    2004-01-01

    In this paper we introduce a new strategy for improving a discrete HMM­based handwriting recognition system, by integrating several information sources from specialized feature sets. For a given system, the basic idea is to keep the most discriminative features, and to replace the others with new

  15. External Goal Setting in Reward-Based Crowdfunding - Inventor, Marathoner, Sprinter and Extreme Sprinter

    OpenAIRE

    Haug, Jonas; Haslum, Mikkel Hilde

    2016-01-01

    Purpose In recent years, crowdfunding has emerged as a popular method to finance entrepreneurial ventures. Entrepreneurs appeal directly to the general public, e.g. the crowd, for help getting their innovative ideas off the ground. Within the world of reward-based crowdfunding, the authors of how to -literature (practitioners) and the authors of theoretical reward-based crowdfunding literature (theoreticians) disagree on strategies for setting the external (i.e. public) funding goal. ...

  16. 76 FR 13297 - Western Pacific Pelagic Fisheries; Hawaii-Based Shallow-set Longline Fishery; Court Order

    Science.gov (United States)

    2011-03-11

    .... 100826393-1171-01] RIN 0648-BA19 Western Pacific Pelagic Fisheries; Hawaii-Based Shallow-set Longline... allowable incidental interactions that may occur between the Hawaii-based shallow-set pelagic longline... to optimize yield from the Hawaii-based pelagic shallow-set longline fishery without jeopardizing the...

  17. Variational Level Set Method for Two-Stage Image Segmentation Based on Morphological Gradients

    Directory of Open Access Journals (Sweden)

    Zemin Ren

    2014-01-01

    Full Text Available We use variational level set method and transition region extraction techniques to achieve image segmentation task. The proposed scheme is done by two steps. We first develop a novel algorithm to extract transition region based on the morphological gradient. After this, we integrate the transition region into a variational level set framework and develop a novel geometric active contour model, which include an external energy based on transition region and fractional order edge indicator function. The external energy is used to drive the zero level set toward the desired image features, such as object boundaries. Due to this external energy, the proposed model allows for more flexible initialization. The fractional order edge indicator function is incorporated into the length regularization term to diminish the influence of noise. Moreover, internal energy is added into the proposed model to penalize the deviation of the level set function from a signed distance function. The results evolution of the level set function is the gradient flow that minimizes the overall energy functional. The proposed model has been applied to both synthetic and real images with promising results.

  18. Visualization of Penile Suspensory Ligamentous System Based on Visible Human Data Sets

    Science.gov (United States)

    Chen, Xianzhuo; Wu, Yi; Tao, Ling; Yan, Yan; Pang, Jun; Zhang, Shaoxiang; Li, Shirong

    2017-01-01

    Background The aim of this study was to use a three-dimensional (3D) visualization technology to illustrate and describe the anatomical features of the penile suspensory ligamentous system based on the Visible Human data sets and to explore the suspensory mechanism of the penis for the further improvement of the penis-lengthening surgery. Material/Methods Cross-sectional images retrieved from the first Chinese Visible Human (CVH-1), third Chinese Visible Human (CVH-3), and Visible Human Male (VHM) data sets were used to segment the suspensory ligamentous system and its adjacent structures. The magnetic resonance imaging (MRI) images of this system were studied and compared with those from the Visible Human data sets. The 3D models reconstructed from the Visible Human data sets were used to provide morphological features of the penile suspensory ligamentous system and its related structures. Results The fundiform ligament was a superficial, loose, fibro-fatty tissue which originated from Scarpa’s fascia superiorly and continued to the scrotal septum inferiorly. The suspensory ligament and arcuate pubic ligament were dense fibrous connective tissues which started from the pubic symphysis and terminated by attaching to the tunica albuginea of the corpora cavernosa. Furthermore, the arcuate pubic ligament attached to the inferior rami of the pubis laterally. Conclusions The 3D model based on Visible Human data sets can be used to clarify the anatomical features of the suspensory ligamentous system, thereby contributing to the improvement of penis-lengthening surgery. PMID:28530218

  19. The Setting is the Service: How the Architecture of Sober Living Residences Supports Community Based Recovery.

    Science.gov (United States)

    Wittman, Fried; Jee, Babette; Polcin, Douglas L; Henderson, Diane

    2014-07-01

    The architecture of residential recovery settings is an important silent partner in the alcohol/drug recovery field. The settings significantly support or hinder recovery experiences of residents, and shape community reactions to the presence of sober living houses (SLH) in ordinary neighborhoods. Grounded in the principles of Alcoholics Anonymous, the SLH provides residents with settings designed to support peer based recovery; further, these settings operate in a community context that insists on sobriety and strongly encourages attendance at 12-step meetings. Little formal research has been conducted to show how architectural features of the recovery setting - building appearance, spatial layouts, furnishings and finishes, policies for use of the facilities, physical care and maintenance of the property, neighborhood features, aspects of location in the city - function to promote (or retard) recovery, and to build (or detract from) community support. This paper uses a case-study approach to analyze the architecture of a community-based residential recovery service that has demonstrated successful recovery outcomes for its residents, is popular in its community, and has achieved state-wide recognition. The Environmental Pattern Language (Alexander, Ishikawa, & Silverstein, 1977) is used to analyze its architecture in a format that can be tested, critiqued, and adapted for use by similar programs in many communities, providing a model for replication and further research.

  20. Valuing setting-based recreation for selected visitors to national forests in the southern United States.

    Science.gov (United States)

    Sardana, Kavita; Bergstrom, John C; Bowker, J M

    2016-12-01

    In this study we estimate selected visitors' demand and value for recreational trips to settings such as developed vs. undeveloped sites in U.S. national forests in the Southern United States using the travel cost method. The setting-based approach allows for valuation of multi-activity trips to particular settings. The results from an adjusted Poisson lognormal estimator corrected for truncation and endogenous stratification reveal that economic value per trip estimates are higher for wilderness compared to day-use developed settings, overnight-use developed settings, and general forest areas. Estimates of these economic values are important to resource managers because their management decisions and actions typically control recreational settings. For example, managers control developed campground capacity in a national forest, but typically not the number of campers below the capacity constraint and the number and types of activities visitors engage in during a multi-activity trip to a developed campground (within limits since some activities such as discharging a firearm are not permitted in a developed campground). Copyright © 2016 Elsevier Ltd. All rights reserved.

  1. Mechanism-based biomarker gene sets for glutathione depletion-related hepatotoxicity in rats

    International Nuclear Information System (INIS)

    Gao Weihua; Mizukawa, Yumiko; Nakatsu, Noriyuki; Minowa, Yosuke; Yamada, Hiroshi; Ohno, Yasuo; Urushidani, Tetsuro

    2010-01-01

    Chemical-induced glutathione depletion is thought to be caused by two types of toxicological mechanisms: PHO-type glutathione depletion [glutathione conjugated with chemicals such as phorone (PHO) or diethyl maleate (DEM)], and BSO-type glutathione depletion [i.e., glutathione synthesis inhibited by chemicals such as L-buthionine-sulfoximine (BSO)]. In order to identify mechanism-based biomarker gene sets for glutathione depletion in rat liver, male SD rats were treated with various chemicals including PHO (40, 120 and 400 mg/kg), DEM (80, 240 and 800 mg/kg), BSO (150, 450 and 1500 mg/kg), and bromobenzene (BBZ, 10, 100 and 300 mg/kg). Liver samples were taken 3, 6, 9 and 24 h after administration and examined for hepatic glutathione content, physiological and pathological changes, and gene expression changes using Affymetrix GeneChip Arrays. To identify differentially expressed probe sets in response to glutathione depletion, we focused on the following two courses of events for the two types of mechanisms of glutathione depletion: a) gene expression changes occurring simultaneously in response to glutathione depletion, and b) gene expression changes after glutathione was depleted. The gene expression profiles of the identified probe sets for the two types of glutathione depletion differed markedly at times during and after glutathione depletion, whereas Srxn1 was markedly increased for both types as glutathione was depleted, suggesting that Srxn1 is a key molecule in oxidative stress related to glutathione. The extracted probe sets were refined and verified using various compounds including 13 additional positive or negative compounds, and they established two useful marker sets. One contained three probe sets (Akr7a3, Trib3 and Gstp1) that could detect conjugation-type glutathione depletors any time within 24 h after dosing, and the other contained 14 probe sets that could detect glutathione depletors by any mechanism. These two sets, with appropriate scoring

  2. The research on electronic commerce security payment system based on set protocol

    Science.gov (United States)

    Guo, Hongliang

    2012-04-01

    With the rapid development of network technology, online transactions have become more and more common. In this paper, we firstly introduce the principle and the basic principal and technical foundation of SET, and then we analyze the progress of designing a system in the foundation of the procedure of the electronic business based on SET. On this basis, we design a system of the Payment System for Electronic Business. It will not only take on crucial realism signification for large-scale, medium-sized and mini-type corporations, but also provide guide meaning with programmer and design-developer to realize Electronic Commerce (EC).

  3. The challenge of setting risk-based microbiological criteria for Listeria monocytogenes

    DEFF Research Database (Denmark)

    Andersen, Jens Kirk; Nørrung, Birgit

    2011-01-01

    After more than 20 years of work with discussing the setting of microbiological criteria for Listeria monocytogenes in foods, Codex Alimentarius on Food Hygiene has finalised a proposal that was recently adopted by the Codex Alimentarius Commission. The effort of developing procedures for making...... the microbiological criteria risk-based to the greatest extent possible has challenged scientists and managers during this long time period. Yet, the establishment of microbiological criteria for L. monocytogenes is still being discussed and several approaches are possible. Setting of microbiological criteria...

  4. Refining Lane-Based Traffic Signal Settings to Satisfy Spatial Lane Length Requirements

    Directory of Open Access Journals (Sweden)

    Yanping Liu

    2017-01-01

    Full Text Available In conventional lane-based signal optimization models, lane markings guiding road users in making turns are optimized with traffic signal settings in a unified framework to maximize the overall intersection capacity or minimize the total delay. The spatial queue requirements of road lanes should be considered to avoid overdesigns of green durations. Point queue system adopted in the conventional lane-based framework causes overflow in practice. Based on the optimization results from the original lane-based designs, a refinement is proposed to enhance the lane-based settings to ensure that spatial holding limits of the approaching traffic lanes are not exceeded. A solution heuristic is developed to modify the green start times, green durations, and cycle length by considering the vehicle queuing patterns and physical holding capacities along the approaching traffic lanes. To show the effectiveness of this traffic signal refinement, a case study of one of the busiest and most complicated intersections in Hong Kong is given for demonstration. A site survey was conducted to collect existing traffic demand patterns and existing traffic signal settings in peak periods. Results show that the proposed refinement method is effective to ensure that all vehicle queue lengths satisfy spatial lane capacity limits, including short lanes, for daily operation.

  5. Teleconsultation in school settings: linking classroom teachers and behavior analysts through web-based technology.

    Science.gov (United States)

    Frieder, Jessica E; Peterson, Stephanie M; Woodward, Judy; Crane, Jaelee; Garner, Marlane

    2009-01-01

    This paper describes a technically driven, collaborative approach to assessing the function of problem behavior using web-based technology. A case example is provided to illustrate the process used in this pilot project. A school team conducted a functional analysis with a child who demonstrated challenging behaviors in a preschool setting. Behavior analysts at a university setting provided the school team with initial workshop trainings, on-site visits, e-mail and phone communication, as well as live web-based feedback on functional analysis sessions. The school personnel implemented the functional analysis with high fidelity and scored the data reliably. Outcomes of the project suggest that there is great potential for collaboration via the use of web-based technologies for ongoing assessment and development of effective interventions. However, an empirical evaluation of this model should be conducted before wide-scale adoption is recommended.

  6. Drilling Students’ Communication Skill through Science, Environment, Technology, and Society (SETS)-Based Learning

    Science.gov (United States)

    Al-Farisi, B. L.; Tjandrakirana; Agustini, R.

    2018-01-01

    Student’s communication skill paid less attention in learning activity at school, even though communication skill is needed by students in the 21st century based on the demands of new curriculum in Indonesia (K13). This study focuses on drilling students’ communication skill through science, environment, technology, and society (SETS)-based learning. The research is a pre-experimental design with a one-shot case study model involving 10 students of ninth-grader of SMPN 2 Manyar, Gresik. The research data were collected through observation method using communication observation sheet. The data were analyzed using the descriptive qualitative method. The result showed that students’ communication skill reached the completeness of skills decided both individually and classically in the curriculum. The fundamental result of this research that SETS-based learning can be used to drill students’ communication skill in K13 context.

  7. Level-set-based reconstruction algorithm for EIT lung images: first clinical results.

    Science.gov (United States)

    Rahmati, Peyman; Soleimani, Manuchehr; Pulletz, Sven; Frerichs, Inéz; Adler, Andy

    2012-05-01

    We show the first clinical results using the level-set-based reconstruction algorithm for electrical impedance tomography (EIT) data. The level-set-based reconstruction method (LSRM) allows the reconstruction of non-smooth interfaces between image regions, which are typically smoothed by traditional voxel-based reconstruction methods (VBRMs). We develop a time difference formulation of the LSRM for 2D images. The proposed reconstruction method is applied to reconstruct clinical EIT data of a slow flow inflation pressure-volume manoeuvre in lung-healthy and adult lung-injury patients. Images from the LSRM and the VBRM are compared. The results show comparable reconstructed images, but with an improved ability to reconstruct sharp conductivity changes in the distribution of lung ventilation using the LSRM.

  8. Level-set-based reconstruction algorithm for EIT lung images: first clinical results

    International Nuclear Information System (INIS)

    Rahmati, Peyman; Adler, Andy; Soleimani, Manuchehr; Pulletz, Sven; Frerichs, Inéz

    2012-01-01

    We show the first clinical results using the level-set-based reconstruction algorithm for electrical impedance tomography (EIT) data. The level-set-based reconstruction method (LSRM) allows the reconstruction of non-smooth interfaces between image regions, which are typically smoothed by traditional voxel-based reconstruction methods (VBRMs). We develop a time difference formulation of the LSRM for 2D images. The proposed reconstruction method is applied to reconstruct clinical EIT data of a slow flow inflation pressure–volume manoeuvre in lung-healthy and adult lung-injury patients. Images from the LSRM and the VBRM are compared. The results show comparable reconstructed images, but with an improved ability to reconstruct sharp conductivity changes in the distribution of lung ventilation using the LSRM. (paper)

  9. Crop Evaluation System Optimization: Attribute Weights Determination Based on Rough Sets Theory

    Directory of Open Access Journals (Sweden)

    Ruihong Wang

    2017-01-01

    Full Text Available The present study is mainly a continuation of our previous study, which is about a crop evaluation system development that is based on grey relational analysis. In that system, the attribute weight determination affects the evaluation result directly. Attribute weight is usually ascertained by decision-makers experience knowledge. In this paper, we utilize rough sets theory to calculate attribute significance and then combine it with weight given by decision-maker. This method is a comprehensive consideration of subjective experience knowledge and objective situation; thus it can acquire much more ideal results. Finally, based on this method, we improve the system based on ASP.NET technology.

  10. Task-set switching under cue-based versus memory-based switching conditions in younger and older adults.

    Science.gov (United States)

    Kray, Jutta

    2006-08-11

    Adult age differences in task switching and advance preparation were examined by comparing cue-based and memory-based switching conditions. Task switching was assessed by determining two types of costs that occur at the general (mixing costs) and specific (switching costs) level of switching. Advance preparation was investigated by varying the time interval until the next task (short, middle, very long). Results indicated that the implementation of task sets was different for cue-based switching with random task sequences and memory-based switching with predictable task sequences. Switching costs were strongly reduced under cue-based switching conditions, indicating that task-set cues facilitate the retrieval of the next task. Age differences were found for mixing costs and for switching costs only under cue-based conditions in which older adults showed smaller switching costs than younger adults. It is suggested that older adults adopt a less extreme bias between two tasks than younger adults in situations associated with uncertainty. For cue-based switching with random task sequences, older adults are less engaged in a complete reconfiguration of task sets because of the probability of a further task change. Furthermore, the reduction of switching costs was more pronounced for cue- than memory-based switching for short preparation intervals, whereas the reduction of switch costs was more pronounced for memory- than cue-based switching for longer preparation intervals at least for older adults. Together these findings suggest that the implementation of task sets is functionally different for the two types of task-switching conditions.

  11. Evidence-based decision making in health care settings: from theory to practice.

    Science.gov (United States)

    Kohn, Melanie Kazman; Berta, Whitney; Langley, Ann; Davis, David

    2011-01-01

    The relatively recent attention that evidence-based decision making has received in health care management has been at least in part due to the profound influence of evidence-based medicine. The result has been several comparisons in the literature between the use of evidence in health care management decisions and the use of evidence in medical decision making. Direct comparison, however, may be problematic, given the differences between medicine and management as they relate to (1) the nature of evidence that is brought to bear on decision making; (2) the maturity of empirical research in each field (in particular, studies that have substantiated whether or not and how evidence-based decision making is enacted); and (3) the context within which evidence-based decisions are made. By simultaneously reviewing evidence-based medicine and management, this chapter aims to inform future theorizing and empirical research on evidence-based decision making in health care settings.

  12. Multi-stage versus single-stage inflation and deflation cycle for alternating low pressure air mattresses to prevent pressure ulcers in hospitalised patients: a randomised-controlled clinical trial.

    Science.gov (United States)

    Demarré, L; Beeckman, D; Vanderwee, K; Defloor, T; Grypdonck, M; Verhaeghe, S

    2012-04-01

    The duration and the amount of pressure and shear must be reduced in order to minimize the risk of pressure ulcer development. Alternating low pressure air mattresses with multi-stage inflation and deflation cycle of the air cells have been developed to relieve pressure by sequentially inflating and deflating the air cells. Evidence about the effectiveness of this type of mattress in clinical practice is lacking. This study aimed to compare the effectiveness of an alternating low pressure air mattress that has a standard single-stage inflation and deflation cycle of the air cells with an alternating low pressure air mattress with multi-stage inflation and deflation cycle of the air cells. A randomised controlled trial was performed in a convenience sample of 25 wards in five hospitals in Belgium. In total, 610 patients were included and randomly assigned to the experimental group (n=298) or the control group (n=312). In the experimental group, patients were allocated to an alternating low pressure air mattress with multi-stage inflation and deflation cycle of the air cells. In the control group, patients were allocated to an alternating low pressure air mattress with a standard single-stage inflation and deflation cycle of the air cells. The outcome was defined as cumulative pressure ulcer incidence (Grade II-IV). An intention-to-treat analysis was performed. There was no significant difference in cumulative pressure ulcer incidence (Grade II-IV) between both groups (Exp.=5.7%, Contr.=5.8%, p=0.97). When patients developed a pressure ulcer, the median time was 5.0 days in the experimental group (IQR=3.0-8.5) and 8.0 days in the control group (IQR=3.0-8.5) (Mann-Whitney U-test=113, p=0.182). The probability to remain pressure ulcer free during the observation period in this trial did not differ significantly between the experimental group and the control group (log-rank χ(2)=0.013, df=1, p=0.911). An alternating low pressure air mattress with multi-stage inflation

  13. Inverse consistent non-rigid image registration based on robust point set matching

    Science.gov (United States)

    2014-01-01

    Background Robust point matching (RPM) has been extensively used in non-rigid registration of images to robustly register two sets of image points. However, except for the location at control points, RPM cannot estimate the consistent correspondence between two images because RPM is a unidirectional image matching approach. Therefore, it is an important issue to make an improvement in image registration based on RPM. Methods In our work, a consistent image registration approach based on the point sets matching is proposed to incorporate the property of inverse consistency and improve registration accuracy. Instead of only estimating the forward transformation between the source point sets and the target point sets in state-of-the-art RPM algorithms, the forward and backward transformations between two point sets are estimated concurrently in our algorithm. The inverse consistency constraints are introduced to the cost function of RPM and the fuzzy correspondences between two point sets are estimated based on both the forward and backward transformations simultaneously. A modified consistent landmark thin-plate spline registration is discussed in detail to find the forward and backward transformations during the optimization of RPM. The similarity of image content is also incorporated into point matching in order to improve image matching. Results Synthetic data sets, medical images are employed to demonstrate and validate the performance of our approach. The inverse consistent errors of our algorithm are smaller than RPM. Especially, the topology of transformations is preserved well for our algorithm for the large deformation between point sets. Moreover, the distance errors of our algorithm are similar to that of RPM, and they maintain a downward trend as whole, which demonstrates the convergence of our algorithm. The registration errors for image registrations are evaluated also. Again, our algorithm achieves the lower registration errors in same iteration number

  14. Process-based interpretation of conceptual hydrological model performance using a multinational catchment set

    Science.gov (United States)

    Poncelet, Carine; Merz, Ralf; Merz, Bruno; Parajka, Juraj; Oudin, Ludovic; Andréassian, Vazken; Perrin, Charles

    2017-08-01

    Most of previous assessments of hydrologic model performance are fragmented, based on small number of catchments, different methods or time periods and do not link the results to landscape or climate characteristics. This study uses large-sample hydrology to identify major catchment controls on daily runoff simulations. It is based on a conceptual lumped hydrological model (GR6J), a collection of 29 catchment characteristics, a multinational set of 1103 catchments located in Austria, France, and Germany and four runoff model efficiency criteria. Two analyses are conducted to assess how features and criteria are linked: (i) a one-dimensional analysis based on the Kruskal-Wallis test and (ii) a multidimensional analysis based on regression trees and investigating the interplay between features. The catchment features most affecting model performance are the flashiness of precipitation and streamflow (computed as the ratio of absolute day-to-day fluctuations by the total amount in a year), the seasonality of evaporation, the catchment area, and the catchment aridity. Nonflashy, nonseasonal, large, and nonarid catchments show the best performance for all the tested criteria. We argue that this higher performance is due to fewer nonlinear responses (higher correlation between precipitation and streamflow) and lower input and output variability for such catchments. Finally, we show that, compared to national sets, multinational sets increase results transferability because they explore a wider range of hydroclimatic conditions.

  15. Application of HGSO to security based optimal placement and parameter setting of UPFC

    International Nuclear Information System (INIS)

    Tarafdar Hagh, Mehrdad; Alipour, Manijeh; Teimourzadeh, Saeed

    2014-01-01

    Highlights: • A new method for solving the security based UPFC placement and parameter setting problem is proposed. • The proposed method is a global method for all mixed-integer problems. • The proposed method has the ability of the parallel search in binary and continues space. • By using the proposed method, most of the problems due to line contingencies are solved. • Comparison studies are done to compare the performance of the proposed method. - Abstract: This paper presents a novel method to solve security based optimal placement and parameter setting of unified power flow controller (UPFC) problem based on hybrid group search optimization (HGSO) technique. Firstly, HGSO is introduced in order to solve mix-integer type problems. Afterwards, the proposed method is applied to the security based optimal placement and parameter setting of UPFC problem. The focus of the paper is to enhance the power system security through eliminating or minimizing the over loaded lines and the bus voltage limit violations under single line contingencies. Simulation studies are carried out on the IEEE 6-bus, IEEE 14-bus and IEEE 30-bus systems in order to verify the accuracy and robustness of the proposed method. The results indicate that by using the proposed method, the power system remains secure under single line contingencies

  16. Implementation of evidence-based HIV interventions for young adult African American women in church settings.

    Science.gov (United States)

    Stewart, Jennifer M

    2014-01-01

    To assess the barriers and facilitators to using African American churches as sites for implementation of evidence-based HIV interventions among young African American women. Mixed methods cross-sectional design. African American churches in Philadelphia, PA. 142 African American pastors, church leaders, and young adult women ages 18 to 25. Mixed methods convergent parallel design. The majority of young adult women reported engaging in high-risk HIV-related behaviors. Although church leaders reported willingness to implement HIV risk-reduction interventions, they were unsure of how to initiate this process. Key facilitators to the implementation of evidence-based interventions included the perception of the leadership and church members that HIV interventions were needed and that the church was a promising venue for them. A primary barrier to implementation in this setting is the perception that discussions of sexuality should be private. Implementation of evidence-based HIV interventions for young adult African American women in church settings is feasible and needed. Building a level of comfort in discussing matters of sexuality and adapting existing evidence-based interventions to meet the needs of young women in church settings is a viable approach for successful implementation. © 2014 AWHONN, the Association of Women's Health, Obstetric and Neonatal Nurses.

  17. Model-based setting of inspiratory pressure and respiratory rate in pressure-controlled ventilation

    International Nuclear Information System (INIS)

    Schranz, C; Möller, K; Becher, T; Schädler, D; Weiler, N

    2014-01-01

    Mechanical ventilation carries the risk of ventilator-induced-lung-injury (VILI). To minimize the risk of VILI, ventilator settings should be adapted to the individual patient properties. Mathematical models of respiratory mechanics are able to capture the individual physiological condition and can be used to derive personalized ventilator settings. This paper presents model-based calculations of inspiration pressure (p I ), inspiration and expiration time (t I , t E ) in pressure-controlled ventilation (PCV) and a retrospective evaluation of its results in a group of mechanically ventilated patients. Incorporating the identified first order model of respiratory mechanics in the basic equation of alveolar ventilation yielded a nonlinear relation between ventilation parameters during PCV. Given this patient-specific relation, optimized settings in terms of minimal p I and adequate t E can be obtained. We then retrospectively analyzed data from 16 ICU patients with mixed pathologies, whose ventilation had been previously optimized by ICU physicians with the goal of minimization of inspiration pressure, and compared the algorithm's ‘optimized’ settings to the settings that had been chosen by the physicians. The presented algorithm visualizes the patient-specific relations between inspiration pressure and inspiration time. The algorithm's calculated results highly correlate to the physician's ventilation settings with r = 0.975 for the inspiration pressure, and r = 0.902 for the inspiration time. The nonlinear patient-specific relations of ventilation parameters become transparent and support the determination of individualized ventilator settings according to therapeutic goals. Thus, the algorithm is feasible for a variety of ventilated ICU patients and has the potential of improving lung-protective ventilation by minimizing inspiratory pressures and by helping to avoid the build-up of clinically significant intrinsic positive end

  18. Model-based setting of inspiratory pressure and respiratory rate in pressure-controlled ventilation.

    Science.gov (United States)

    Schranz, C; Becher, T; Schädler, D; Weiler, N; Möller, K

    2014-03-01

    Mechanical ventilation carries the risk of ventilator-induced-lung-injury (VILI). To minimize the risk of VILI, ventilator settings should be adapted to the individual patient properties. Mathematical models of respiratory mechanics are able to capture the individual physiological condition and can be used to derive personalized ventilator settings. This paper presents model-based calculations of inspiration pressure (pI), inspiration and expiration time (tI, tE) in pressure-controlled ventilation (PCV) and a retrospective evaluation of its results in a group of mechanically ventilated patients. Incorporating the identified first order model of respiratory mechanics in the basic equation of alveolar ventilation yielded a nonlinear relation between ventilation parameters during PCV. Given this patient-specific relation, optimized settings in terms of minimal pI and adequate tE can be obtained. We then retrospectively analyzed data from 16 ICU patients with mixed pathologies, whose ventilation had been previously optimized by ICU physicians with the goal of minimization of inspiration pressure, and compared the algorithm's 'optimized' settings to the settings that had been chosen by the physicians. The presented algorithm visualizes the patient-specific relations between inspiration pressure and inspiration time. The algorithm's calculated results highly correlate to the physician's ventilation settings with r = 0.975 for the inspiration pressure, and r = 0.902 for the inspiration time. The nonlinear patient-specific relations of ventilation parameters become transparent and support the determination of individualized ventilator settings according to therapeutic goals. Thus, the algorithm is feasible for a variety of ventilated ICU patients and has the potential of improving lung-protective ventilation by minimizing inspiratory pressures and by helping to avoid the build-up of clinically significant intrinsic positive end-expiratory pressure.

  19. Fault Diagnosis Method of Polymerization Kettle Equipment Based on Rough Sets and BP Neural Network

    Directory of Open Access Journals (Sweden)

    Shu-zhi Gao

    2013-01-01

    Full Text Available Polyvinyl chloride (PVC polymerizing production process is a typical complex controlled object, with complexity features, such as nonlinear, multivariable, strong coupling, and large time-delay. Aiming at the real-time fault diagnosis and optimized monitoring requirements of the large-scale key polymerization equipment of PVC production process, a real-time fault diagnosis strategy is proposed based on rough sets theory with the improved discernibility matrix and BP neural networks. The improved discernibility matrix is adopted to reduct the attributes of rough sets in order to decrease the input dimensionality of fault characteristics effectively. Levenberg-Marquardt BP neural network is trained to diagnose the polymerize faults according to the reducted decision table, which realizes the nonlinear mapping from fault symptom set to polymerize fault set. Simulation experiments are carried out combining with the industry history datum to show the effectiveness of the proposed rough set neural networks fault diagnosis method. The proposed strategy greatly increased the accuracy rate and efficiency of the polymerization fault diagnosis system.

  20. Systems-based biological concordance and predictive reproducibility of gene set discovery methods in cardiovascular disease.

    Science.gov (United States)

    Azuaje, Francisco; Zheng, Huiru; Camargo, Anyela; Wang, Haiying

    2011-08-01

    The discovery of novel disease biomarkers is a crucial challenge for translational bioinformatics. Demonstration of both their classification power and reproducibility across independent datasets are essential requirements to assess their potential clinical relevance. Small datasets and multiplicity of putative biomarker sets may explain lack of predictive reproducibility. Studies based on pathway-driven discovery approaches have suggested that, despite such discrepancies, the resulting putative biomarkers tend to be implicated in common biological processes. Investigations of this problem have been mainly focused on datasets derived from cancer research. We investigated the predictive and functional concordance of five methods for discovering putative biomarkers in four independently-generated datasets from the cardiovascular disease domain. A diversity of biosignatures was identified by the different methods. However, we found strong biological process concordance between them, especially in the case of methods based on gene set analysis. With a few exceptions, we observed lack of classification reproducibility using independent datasets. Partial overlaps between our putative sets of biomarkers and the primary studies exist. Despite the observed limitations, pathway-driven or gene set analysis can predict potentially novel biomarkers and can jointly point to biomedically-relevant underlying molecular mechanisms. Copyright © 2011 Elsevier Inc. All rights reserved.

  1. A Comprehensive Training Data Set for the Development of Satellite-Based Volcanic Ash Detection Algorithms

    Science.gov (United States)

    Schmidl, Marius

    2017-04-01

    We present a comprehensive training data set covering a large range of atmospheric conditions, including disperse volcanic ash and desert dust layers. These data sets contain all information required for the development of volcanic ash detection algorithms based on artificial neural networks, urgently needed since volcanic ash in the airspace is a major concern of aviation safety authorities. Selected parts of the data are used to train the volcanic ash detection algorithm VADUGS. They contain atmospheric and surface-related quantities as well as the corresponding simulated satellite data for the channels in the infrared spectral range of the SEVIRI instrument on board MSG-2. To get realistic results, ECMWF, IASI-based, and GEOS-Chem data are used to calculate all parameters describing the environment, whereas the software package libRadtran is used to perform radiative transfer simulations returning the brightness temperatures for each atmospheric state. As optical properties are a prerequisite for radiative simulations accounting for aerosol layers, the development also included the computation of optical properties for a set of different aerosol types from different sources. A description of the developed software and the used methods is given, besides an overview of the resulting data sets.

  2. Formal Analysis of SET and NSL Protocols Using the Interpretation Functions-Based Method

    Directory of Open Access Journals (Sweden)

    Hanane Houmani

    2012-01-01

    Full Text Available Most applications in the Internet such as e-banking and e-commerce use the SET and the NSL protocols to protect the communication channel between the client and the server. Then, it is crucial to ensure that these protocols respect some security properties such as confidentiality, authentication, and integrity. In this paper, we analyze the SET and the NSL protocols with respect to the confidentiality (secrecy property. To perform this analysis, we use the interpretation functions-based method. The main idea behind the interpretation functions-based technique is to give sufficient conditions that allow to guarantee that a cryptographic protocol respects the secrecy property. The flexibility of the proposed conditions allows the verification of daily-life protocols such as SET and NSL. Also, this method could be used under different assumptions such as a variety of intruder abilities including algebraic properties of cryptographic primitives. The NSL protocol, for instance, is analyzed with and without the homomorphism property. We show also, using the SET protocol, the usefulness of this approach to correct weaknesses and problems discovered during the analysis.

  3. PANDORA: keyword-based analysis of protein sets by integration of annotation sources.

    Science.gov (United States)

    Kaplan, Noam; Vaaknin, Avishay; Linial, Michal

    2003-10-01

    Recent advances in high-throughput methods and the application of computational tools for automatic classification of proteins have made it possible to carry out large-scale proteomic analyses. Biological analysis and interpretation of sets of proteins is a time-consuming undertaking carried out manually by experts. We have developed PANDORA (Protein ANnotation Diagram ORiented Analysis), a web-based tool that provides an automatic representation of the biological knowledge associated with any set of proteins. PANDORA uses a unique approach of keyword-based graphical analysis that focuses on detecting subsets of proteins that share unique biological properties and the intersections of such sets. PANDORA currently supports SwissProt keywords, NCBI Taxonomy, InterPro entries and the hierarchical classification terms from ENZYME, SCOP and GO databases. The integrated study of several annotation sources simultaneously allows a representation of biological relations of structure, function, cellular location, taxonomy, domains and motifs. PANDORA is also integrated into the ProtoNet system, thus allowing testing thousands of automatically generated clusters. We illustrate how PANDORA enhances the biological understanding of large, non-uniform sets of proteins originating from experimental and computational sources, without the need for prior biological knowledge on individual proteins.

  4. An efficient ERP-based brain-computer interface using random set presentation and face familiarity.

    Directory of Open Access Journals (Sweden)

    Seul-Ki Yeom

    Full Text Available Event-related potential (ERP-based P300 spellers are commonly used in the field of brain-computer interfaces as an alternative channel of communication for people with severe neuro-muscular diseases. This study introduces a novel P300 based brain-computer interface (BCI stimulus paradigm using a random set presentation pattern and exploiting the effects of face familiarity. The effect of face familiarity is widely studied in the cognitive neurosciences and has recently been addressed for the purpose of BCI. In this study we compare P300-based BCI performances of a conventional row-column (RC-based paradigm with our approach that combines a random set presentation paradigm with (non- self-face stimuli. Our experimental results indicate stronger deflections of the ERPs in response to face stimuli, which are further enhanced when using the self-face images, and thereby improving P300-based spelling performance. This lead to a significant reduction of stimulus sequences required for correct character classification. These findings demonstrate a promising new approach for improving the speed and thus fluency of BCI-enhanced communication with the widely used P300-based BCI setup.

  5. IN-cross Entropy Based MAGDM Strategy under Interval Neutrosophic Set Environment

    Directory of Open Access Journals (Sweden)

    Shyamal Dalapati

    2017-12-01

    Full Text Available Cross entropy measure is one of the best way to calculate the divergence of any variable from the priori one variable. We define a new cross entropy measure under interval neutrosophic set (INS environment, which we call IN-cross entropy measure and prove its basic properties. We also develop weighted IN-cross entropy measure and investigats its basic properties. Based on the weighted IN-cross entropy measure, we develop a novel strategy for multi attribute group decision making (MAGDM strategy under interval neutrosophic environment. The proposed multi attribute group decision making strategy is compared with the existing cross entropy measure based strategy in the literature under interval neutrosophic set environment. Finally, an illustrative example of multi attribute group decision making problem is solved to show the feasibility, validity and efficiency of the proposed MAGDM strategy.

  6. Embedded Real-Time Architecture for Level-Set-Based Active Contours

    Directory of Open Access Journals (Sweden)

    Dejnožková Eva

    2005-01-01

    Full Text Available Methods described by partial differential equations have gained a considerable interest because of undoubtful advantages such as an easy mathematical description of the underlying physics phenomena, subpixel precision, isotropy, or direct extension to higher dimensions. Though their implementation within the level set framework offers other interesting advantages, their vast industrial deployment on embedded systems is slowed down by their considerable computational effort. This paper exploits the high parallelization potential of the operators from the level set framework and proposes a scalable, asynchronous, multiprocessor platform suitable for system-on-chip solutions. We concentrate on obtaining real-time execution capabilities. The performance is evaluated on a continuous watershed and an object-tracking application based on a simple gradient-based attraction force driving the active countour. The proposed architecture can be realized on commercially available FPGAs. It is built around general-purpose processor cores, and can run code developed with usual tools.

  7. The Train Driver Recovery Problem - a Set Partitioning Based Model and Solution Method

    DEFF Research Database (Denmark)

    Rezanova, Natalia Jurjevna; Ryan, David

    2010-01-01

    The need to recover a train driver schedule occurs during major disruptions in the daily railway operations. Based on data from the Danish passenger railway operator DSB S-tog A/S, a solution method to the train driver recovery problem (TDRP) is developed. The TDRP is formulated as a set...... branching strategy using the depth-first search of the Branch & Bound tree. The LP relaxation of the TDRP possesses strong integer properties. We present test scenarios generated from the historical real-life operations data of DSB S-tog A/S. The numerical results show that all but one tested instances...... partitioning problem. We define a disruption neighbourhood by identifying a small set of drivers and train tasks directly affected by the disruption. Based on the disruption neighbourhood, the TDRP model is formed and solved. If the TDRP solution provides a feasible recovery for the drivers within...

  8. New Multi-Criteria Group Decision-Making Method Based on Vague Set Theory

    OpenAIRE

    Kuo-Sui Lin

    2016-01-01

    In light of the deficiencies and limitations for existing score functions, Lin has proposed a more effective and reasonable new score function for measuring vague values. By using Lin’s score function and a new weighted aggregation score function, an algorithm for multi-criteria group decision-making method was proposed to solve vague set based group decision-making problems under vague environments. Finally, a numerical example was illustrated to show the effectiveness of the proposed multi-...

  9. Set-Based Approach to Design under Uncertainty and Applications to Shaping a Hydrofoil

    Science.gov (United States)

    2016-01-01

    given requirements. This notion of set-based designwas pioneered by Toyota and adopted by the U.S. Navy [1]. It responds to most real-world design...in such a way that all desired shape variations are allowed both on the suction and pressure side. Figure 2 gives a schematic representation of the...of the hydrofoil. The control points of the pressure side have been changed in different ways to en- sure the overall hydrodynamic performance

  10. Potential-based methodology for active sound control in three dimensional settings

    OpenAIRE

    Lim, H.; Utyuzhnikov, S V; Lam, Y.W.; Kelly, L.

    2014-01-01

    This paper extends a potential-based approach to active noise shielding with preservation of wanted sound in three-dimensional settings. The approach, which was described in a previous publication [Lim et al., J. Acoust. Soc. Am. 129(2), 717–725 (2011)], provides several significant advantages over conventional noise control methods. Most significantly, the methodology does not require any information including the characterization of sources, impedance boundary conditions and surrounding med...

  11. A perturbation method for dark solitons based on a complete set of the squared Jost solutions

    International Nuclear Information System (INIS)

    Ao Shengmei; Yan Jiaren

    2005-01-01

    A perturbation method for dark solitons is developed, which is based on the construction and the rigorous proof of the complete set of squared Jost solutions. The general procedure solving the adiabatic solution of perturbed nonlinear Schroedinger + equation, the time-evolution equation of dark soliton parameters and a formula for calculating the first-order correction are given. The method can also overcome the difficulties resulting from the non-vanishing boundary condition

  12. Comparing investment projects of innovative developing strategies of municipalities, based on a set of indicators

    Directory of Open Access Journals (Sweden)

    Saurenko Tatiana

    2018-01-01

    Full Text Available A method of comparison by a set of indicators which show the quality of investment projects and embody innovative policy of developing municipal entities is proposed. The method is based on establishing preferences for individual quality indicators of projects in accordance with the principle of maximum uncertainty (entropy and representing their aggregate in the form of a scalar function as an argument of the vector.

  13. Dominating sets of the comaximal and ideal-based zero-divisor ...

    African Journals Online (AJOL)

    Let R be a commutative ring with nonzero identity, and let I be an ideal of R. The ideal-based zero-divisor graph of R, denoted by ΓI (R), is the graph whose vertices are the set {x ∈ R \\ I| xy ∈ I for some y ∈ R \\ I} and two distinct vertices x and y are adjacent if and only if xy ∈ I. Define the comaximal graph of R, denoted by ...

  14. Nature-based interventions in institutional and organisational settings: a scoping review.

    Science.gov (United States)

    Moeller, Chris; King, Nigel; Burr, Viv; Gibbs, Graham R; Gomersall, Tim

    2018-04-26

    The objective of this review was to scope the literature on nature-based interventions that could be conducted in institutional settings where people reside full-time for care or rehabilitation purposes. Systematic searches were conducted across CINAHL, Medline, Criminal Justice Abstracts, PsycINFO, Scopus, Social Care Online and Cochrane CENTRAL. A total of 85 studies (reported in 86 articles) were included. Four intervention modalities were identified: Gardening/therapeutic horticulture; animal-assisted therapies; care farming and virtual reality-based simulations of natural environments. The interventions were conducted across a range of settings, including inpatient wards, care homes, prisons and women's shelters. Generally, favourable impacts were seen across intervention types, although the reported effects varied widely. There is a growing body of literature on nature-based interventions that could be applied to a variety of institutional settings. Within most intervention types, there is sufficient research data available to perform full systematic reviews. Recommendations for future systematic reviews are offered.

  15. Scientific Playworlds: a Model of Teaching Science in Play-Based Settings

    Science.gov (United States)

    Fleer, Marilyn

    2017-09-01

    Eminent scientists, like Einstein, worked with theoretical contradiction, thought experiments, mental models and visualisation—all characteristics of children's play. Supporting children's play is a strength of early childhood teachers. Promising research shows a link between imagination in science and imagination in play. A case study of 3 preschool teachers and 26 children (3.6-5.9 years; mean age of 4.6 years) over 6 weeks was undertaken, generating 59.6 h of digital observations and 788 photographs of play practices. The research sought to understand (1) how imaginative play promotes scientific learning and (2) examined how teachers engaged children in scientific play. Although play pedagogy is a strength of early childhood teachers, it was found that transforming imaginary situations into scientific narratives requires different pedagogical characteristics. The study found that the building of collective scientific narratives alongside of discourses of wondering were key determinants of science learning in play-based settings. Specifically, the pedagogical principles of using a cultural device that mirrors the science experiences, creating imaginary scientific situations, collectively building scientific problem situations, and imagining the relations between observable contexts and non-observable concepts, changed everyday practices into a scientific narrative and engagement. It is argued that these unique pedagogical characteristics promote scientific narratives in play-based settings. An approach, named as Scientific Playworlds, is presented as a possible model for teaching science in play-based settings.

  16. Removing barriers to rehabilitation: Theory-based family intervention in community settings after brain injury.

    Science.gov (United States)

    Stejskal, Taryn M

    2012-01-01

    Rehabilitation professionals have become increasingly aware that family members play a critical role in the recovery process of individuals after brain injury. In addition, researchers have begun to identify a relationship between family member caregivers' well-being and survivors' outcomes. The idea of a continuum of care or following survivors from inpatient care to community reintegration has become an important model of treatment across many hospital and community-based settings. In concert with the continuum of care, present research literature indicates that family intervention may be a key component to successful rehabilitation after brain injury. Yet, clinicians interacting with family members and survivors often feel confounded about how exactly to intervene with the broader family system beyond the individual survivor. Drawing on the systemic nature of the field of marriage and family therapy (MFT), this article provides information to assist clinicians in effectively intervening with families using theory-based interventions in community settings. First, a rationale for the utilization of systems-based, as opposed to individual-based, therapies will be uncovered. Second, historically relevant publications focusing on family psychotherapy and intervention after brain injury are reviewed and their implications discussed. Recommendations for the utilization of systemic theory-based principles and strategies, specifically cognitive behavioral therapy (CBT), narrative therapy (NT), and solution-focused therapy (SFT) will be examined. Descriptions of common challenges families and couples face will be presented along with case examples to illustrate how these theoretical frameworks might be applied to these special concerns postinjury. Finally, the article concludes with an overview of the ideas presented in this manuscript to assist practitioners and systems of care in community-based settings to more effectively intervene with the family system as a whole

  17. Community Priority Index: utility, applicability and validation for priority setting in community-based participatory research

    Directory of Open Access Journals (Sweden)

    Hamisu M. Salihu

    2015-07-01

    Full Text Available Background. Providing practitioners with an intuitive measure for priority setting that can be combined with diverse data collection methods is a necessary step to foster accountability of the decision-making process in community settings. Yet, there is a lack of easy-to-use, but methodologically robust measures, that can be feasibly implemented for reliable decision-making in community settings. To address this important gap in community based participatory research (CBPR, the purpose of this study was to demonstrate the utility, applicability, and validation of a community priority index in a community-based participatory research setting. Design and Methods. Mixed-method study that combined focus groups findings, nominal group technique with six key informants, and the generation of a Community Priority Index (CPI that integrated community importance, changeability, and target populations. Bootstrapping and simulation were performed for validation. Results. For pregnant mothers, the top three highly important and highly changeable priorities were: stress (CPI=0.85; 95%CI: 0.70, 1.00, lack of affection (CPI=0.87; 95%CI: 0.69, 1.00, and nutritional issues (CPI=0.78; 95%CI: 0.48, 1.00. For non-pregnant women, top priorities were: low health literacy (CPI=0.87; 95%CI: 0.69, 1.00, low educational attainment (CPI=0.78; 95%CI: 0.48, 1.00, and lack of self-esteem (CPI=0.72; 95%CI: 0.44, 1.00. For children and adolescents, the top three priorities were: obesity (CPI=0.88; 95%CI: 0.69, 1.00, low self-esteem (CPI=0.81; 95%CI: 0.69, 0.94, and negative attitudes toward education (CPI=0.75; 95%CI: 0.50, 0.94. Conclusions. This study demonstrates the applicability of the CPI as a simple and intuitive measure for priority setting in CBPR.

  18. Accuracy of three Android-based pedometer applications in laboratory and free-living settings.

    Science.gov (United States)

    Leong, Jia Yan; Wong, Jyh Eiin

    2017-01-01

    This study examines the accuracy of three popular, free Android-based pedometer applications (apps), namely, Runtastic (RT), Pacer Works (PW), and Tayutau (TY) in laboratory and free-living settings. Forty-eight adults (22.5 ± 1.4 years) completed 3-min bouts of treadmill walking at five incremental speeds while carrying a test smartphone installed with the three apps. Experiment was repeated thrice, with the smartphone placed either in the pants pockets, at waist level, or secured to the left arm by an armband. The actual step count was manually counted by a tally counter. In the free-living setting, each of the 44 participants (21.9 ± 1.6 years) carried a smartphone with installed apps and a reference pedometer (Yamax Digi-Walker CW700) for 7 consecutive days. Results showed that TY produced the lowest mean absolute percent error (APE 6.7%) and was the only app with acceptable accuracy in counting steps in a laboratory setting. RT consistently underestimated steps with APE of 16.8% in the laboratory. PW significantly underestimated steps when the smartphone was secured to the arm, but overestimated under other conditions (APE 19.7%). TY was the most accurate app in counting steps in a laboratory setting with the lowest APE of 6.7%. In the free-living setting, the APE relative to the reference pedometer was 16.6%, 18.0%, and 16.8% for RT, PW, and TY, respectively. None of the three apps counted steps accurately in the free-living setting.

  19. Effect evaluation of a heated ambulance mattress-prototype on thermal comfort and patients’ temperatures in prehospital emergency care – an intervention study

    Directory of Open Access Journals (Sweden)

    Jonas Aléx

    2015-09-01

    Full Text Available Background: The ambulance milieu does not offer good thermal comfort to patients during the cold Swedish winters. Patients’ exposure to cold temperatures combined with a cold ambulance mattress seems to be the major factor leading to an overall sensation of discomfort. There is little research on the effect of active heat delivered from underneath in ambulance care. Therefore, the aim of this study was to evaluate the effect of an electrically heated ambulance mattress-prototype on thermal comfort and patients’ temperatures in the prehospital emergency care. Methods: A quantitative intervention study on ambulance care was conducted in the north of Sweden. The ambulance used for the intervention group (n=30 was equipped with an electrically heated mattress on the regular ambulance stretcher whereas for the control group (n=30 no active heat was provided on the stretcher. Outcome variables were measured as thermal comfort on the Cold Discomfort Scale (CDS, subjective comments on cold experiences, and finger, ear and air temperatures. Results: Thermal comfort, measured by CDS, improved during the ambulance transport to the emergency department in the intervention group (p=0.001 but decreased in the control group (p=0.014. A significant higher proportion (57% of the control group rated the stretcher as cold to lie down compared to the intervention group (3%, p<0.001. At arrival, finger, ear and compartment air temperature showed no statistical significant difference between groups. Mean transport time was approximately 15 minutes. Conclusions: The use of active heat from underneath increases the patients’ thermal comfort and may prevent the negative consequences of cold stress.

  20. Designing an activity-based costing model for a non-admitted prisoner healthcare setting.

    Science.gov (United States)

    Cai, Xiao; Moore, Elizabeth; McNamara, Martin

    2013-09-01

    To design and deliver an activity-based costing model within a non-admitted prisoner healthcare setting. Key phases from the NSW Health clinical redesign methodology were utilised: diagnostic, solution design and implementation. The diagnostic phase utilised a range of strategies to identify issues requiring attention in the development of the costing model. The solution design phase conceptualised distinct 'building blocks' of activity and cost based on the speciality of clinicians providing care. These building blocks enabled the classification of activity and comparisons of costs between similar facilities. The implementation phase validated the model. The project generated an activity-based costing model based on actual activity performed, gained acceptability among clinicians and managers, and provided the basis for ongoing efficiency and benchmarking efforts.

  1. An EEG-Based Person Authentication System with Open-Set Capability Combining Eye Blinking Signals.

    Science.gov (United States)

    Wu, Qunjian; Zeng, Ying; Zhang, Chi; Tong, Li; Yan, Bin

    2018-01-24

    The electroencephalogram (EEG) signal represents a subject's specific brain activity patterns and is considered as an ideal biometric given its superior forgery prevention. However, the accuracy and stability of the current EEG-based person authentication systems are still unsatisfactory in practical application. In this paper, a multi-task EEG-based person authentication system combining eye blinking is proposed, which can achieve high precision and robustness. Firstly, we design a novel EEG-based biometric evoked paradigm using self- or non-self-face rapid serial visual presentation (RSVP). The designed paradigm could obtain a distinct and stable biometric trait from EEG with a lower time cost. Secondly, the event-related potential (ERP) features and morphological features are extracted from EEG signals and eye blinking signals, respectively. Thirdly, convolutional neural network and back propagation neural network are severally designed to gain the score estimation of EEG features and eye blinking features. Finally, a score fusion technology based on least square method is proposed to get the final estimation score. The performance of multi-task authentication system is improved significantly compared to the system using EEG only, with an increasing average accuracy from 92.4% to 97.6%. Moreover, open-set authentication tests for additional imposters and permanence tests for users are conducted to simulate the practical scenarios, which have never been employed in previous EEG-based person authentication systems. A mean false accepted rate (FAR) of 3.90% and a mean false rejected rate (FRR) of 3.87% are accomplished in open-set authentication tests and permanence tests, respectively, which illustrate the open-set authentication and permanence capability of our systems.

  2. MATLAB-SIMULINK BASED INFORMATION SUPPORT FOR DIGITAL OVERCURRENT PROTECTION TEST SETS

    Directory of Open Access Journals (Sweden)

    I. V. Novash

    2017-01-01

    Full Text Available The implementation of information support for PC-based and hardware-software based sets for digital overcurrent protection devices and their models testing using MatLab-Simulink environment is considered. It is demonstrated that the mathematical modeling of a part of the power system – viz. of the generalized electric power object – could be based on rigid and flexible models. Rigid models implemented on the basis of mathematical description of electrical and magnetic circuits of a power system can be considered as a reference model for the simulation results that have been obtained with the aid of another simulation system to be compared with. It is proposed to implement flexible models for generalized electric power object in the MatLabSimulink environment that includes the SimPowerSystems component library targeted to power system modeling. The features of the parameters calculation of the SimPowerSystems component library blocks that the power system model is formed of are considered. Out of the Simulink standard blocks the models of a wye-connected current transformers were composed as well as the digital overcurrent protection, missing in the component library. A comparison of simulation results of one and the same generalized electric power object implemented in various PC-based software packages was undertaken. The divergence of simulation results did not exceed 3 %; the latter allows us to recommend the MatLab-Simulink environment for information support creation for hardware-software based sets for digital overcurrent protection devices testing. The structure of the hardware-software based set for digital overcurrent protection device testing using the Omicron CMC 356 has been suggested. Time to trip comparison between the real digital protection device МР 801 and the model with the parameters which are exactly match the parameters of the prototype device was carried out using the identical test inputs. The results of the tests

  3. A Comparison of Cervical Spine Motion After Immobilization With a Traditional Spine Board and Full-Body Vacuum-Mattress Splint.

    Science.gov (United States)

    Etier, Brian E; Norte, Grant E; Gleason, Megan M; Richter, Dustin L; Pugh, Kelli F; Thomson, Keith B; Slater, Lindsay V; Hart, Joe M; Brockmeier, Stephen F; Diduch, David R

    2017-12-01

    The National Athletic Trainers' Association (NATA) advocates for cervical spine immobilization on a rigid board or vacuum splint and for removal of athletic equipment before transfer to an emergency medical facility. To (1) compare triplanar cervical spine motion using motion capture between a traditional rigid spine board and a full-body vacuum splint in equipped and unequipped athletes, (2) assess cervical spine motion during the removal of a football helmet and shoulder pads, and (3) evaluate the effect of body mass on cervical spine motion. Controlled laboratory study. Twenty healthy male participants volunteered for this study to examine the influence of immobilization type and presence of equipment on triplanar angular cervical spine motion. Three-dimensional cervical spine kinematics was measured using an electromagnetic motion analysis system. Independent variables included testing condition (static lift and hold, 30° tilt, transfer, equipment removal), immobilization type (rigid, vacuum-mattress), and equipment (on, off). Peak sagittal-, frontal-, and transverse-plane angular motions were the primary outcome measures of interest. Subjective ratings of comfort and security did not differ between immobilization types ( P > .05). Motion between the rigid board and vacuum splint did not differ by more than 2° under any testing condition, either with or without equipment. In removing equipment, the mean peak motion ranged from 12.5° to 14.0° for the rigid spine board and from 11.4° to 15.4° for the vacuum-mattress splint, and more transverse-plane motion occurred when using the vacuum-mattress splint compared with the rigid spine board (mean difference, 0.14 deg/s [95% CI, 0.05-0.23 deg/s]; P = .002). In patients weighing more than 250 lb, the rigid board provided less motion in the frontal plane ( P = .027) and sagittal plane ( P = .030) during the tilt condition and transfer condition, respectively. The current study confirms similar motion in the

  4. A Novel Repair Method for Radial Tears of the Medial Meniscus: Biomechanical Comparison of Transtibial 2-Tunnel and Double Horizontal Mattress Suture Techniques Under Cyclic Loading.

    Science.gov (United States)

    Bhatia, Sanjeev; Civitarese, David M; Turnbull, Travis Lee; LaPrade, Christopher M; Nitri, Marco; Wijdicks, Coen A; LaPrade, Robert F

    2016-03-01

    Complete radial tears of the medial meniscus have been reported to be functionally similar to a total meniscectomy. At present, there is no consensus on an ideal technique for repair of radial midbody tears of the medial meniscus. Prior attempts at repair with double horizontal mattress suture techniques have led to a reportedly high rate of incomplete healing or healing in a nonanatomic (gapped) position, which compromises the ability of the meniscus to withstand hoop stresses. A newly proposed 2-tunnel radial meniscal repair method will result in decreased gapping and increased ultimate failure loads compared with the double horizontal mattress suture repair technique under cyclic loading. Controlled laboratory study. Ten matched pairs of male human cadaveric knees (average age, 58.6 years; range, 48-66 years) were used. A complete radial medial meniscal tear was made at the junction of the posterior one-third and middle third of the meniscus. One knee underwent a horizontal mattress inside-out repair, while the contralateral knee underwent a radial meniscal repair entailing the same technique with a concurrent novel 2-tunnel repair. Specimens were potted and mounted on a universal testing machine. Each specimen was cyclically loaded 1000 times with loads between 5 and 20 N before experiencing a load to failure. Gap distances at the tear site and failure load were measured. The 2-tunnel repairs exhibited a significantly stronger ultimate failure load (median, 196 N; range, 163-212 N) than did the double horizontal mattress suture repairs (median, 106 N; range, 63-229 N) (P = .004). In addition, the 2-tunnel repairs demonstrated decreased gapping at all testing states (P meniscus significantly decrease the ability of the meniscus to dissipate tibiofemoral loads, predisposing patients to early osteoarthritis. Improving the ability to repair medial meniscal radial tears in a way that withstands cyclic loads and heals in an anatomic position could significantly

  5. CD-Based Microfluidics for Primary Care in Extreme Point-of-Care Settings

    Directory of Open Access Journals (Sweden)

    Suzanne Smith

    2016-01-01

    Full Text Available We review the utility of centrifugal microfluidic technologies applied to point-of-care diagnosis in extremely under-resourced environments. The various challenges faced in these settings are showcased, using areas in India and Africa as examples. Measures for the ability of integrated devices to effectively address point-of-care challenges are highlighted, and centrifugal, often termed CD-based microfluidic technologies, technologies are presented as a promising platform to address these challenges. We describe the advantages of centrifugal liquid handling, as well as the ability of a standard CD player to perform a number of common laboratory tests, fulfilling the role of an integrated lab-on-a-CD. Innovative centrifugal approaches for point-of-care in extremely resource-poor settings are highlighted, including sensing and detection strategies, smart power sources and biomimetic inspiration for environmental control. The evolution of centrifugal microfluidics, along with examples of commercial and advanced prototype centrifugal microfluidic systems, is presented, illustrating the success of deployment at the point-of-care. A close fit of emerging centrifugal systems to address a critical panel of tests for under-resourced clinic settings, formulated by medical experts, is demonstrated. This emphasizes the potential of centrifugal microfluidic technologies to be applied effectively to extremely challenging point-of-care scenarios and in playing a role in improving primary care in resource-limited settings across the developing world.

  6. Incremental Learning of Context Free Grammars by Parsing-Based Rule Generation and Rule Set Search

    Science.gov (United States)

    Nakamura, Katsuhiko; Hoshina, Akemi

    This paper discusses recent improvements and extensions in Synapse system for inductive inference of context free grammars (CFGs) from sample strings. Synapse uses incremental learning, rule generation based on bottom-up parsing, and the search for rule sets. The form of production rules in the previous system is extended from Revised Chomsky Normal Form A→βγ to Extended Chomsky Normal Form, which also includes A→B, where each of β and γ is either a terminal or nonterminal symbol. From the result of bottom-up parsing, a rule generation mechanism synthesizes minimum production rules required for parsing positive samples. Instead of inductive CYK algorithm in the previous version of Synapse, the improved version uses a novel rule generation method, called ``bridging,'' which bridges the lacked part of the derivation tree for the positive string. The improved version also employs a novel search strategy, called serial search in addition to minimum rule set search. The synthesis of grammars by the serial search is faster than the minimum set search in most cases. On the other hand, the size of the generated CFGs is generally larger than that by the minimum set search, and the system can find no appropriate grammar for some CFL by the serial search. The paper shows experimental results of incremental learning of several fundamental CFGs and compares the methods of rule generation and search strategies.

  7. Merger and Acquisition Target Selection Based on Interval Neutrosophic Multigranulation Rough Sets over Two Universes

    Directory of Open Access Journals (Sweden)

    Chao Zhang

    2017-07-01

    Full Text Available As a significant business activity, merger and acquisition (M&A generally means transactions in which the ownership of companies, other business organizations or their operating units are transferred or combined. In a typical M&A procedure, M&A target selection is an important issue that tends to exert an increasingly significant impact on different business areas. Although some research works based on fuzzy methods have been explored on this issue, they can only deal with incomplete and uncertain information, but not inconsistent and indeterminate information that exists universally in the decision making process. Additionally, it is advantageous to solve M&A problems under the group decision making context. In order to handle these difficulties in M&A target selection background, we introduce a novel rough set model by combining interval neutrosophic sets (INSs with multigranulation rough sets over two universes, called an interval neutrosophic (IN multigranulation rough set over two universes. Then, we discuss the definition and some fundamental properties of the proposed model. Finally, we establish decision making rules and computing approaches for the proposed model in M&A target selection background, and the effectiveness of the decision making approach is demonstrated by an illustrative case analysis.

  8. Implementing a framework for goal setting in community based stroke rehabilitation: a process evaluation.

    Science.gov (United States)

    Scobbie, Lesley; McLean, Donald; Dixon, Diane; Duncan, Edward; Wyke, Sally

    2013-05-24

    Goal setting is considered 'best practice' in stroke rehabilitation; however, there is no consensus regarding the key components of goal setting interventions or how they should be optimally delivered in practice. We developed a theory-based goal setting and action planning framework (G-AP) to guide goal setting practice. G-AP has 4 stages: goal negotiation, goal setting, action planning & coping planning and appraisal & feedback. All stages are recorded in a patient-held record. In this study we examined the implementation, acceptability and perceived benefits of G-AP in one community rehabilitation team with people recovering from stroke. G-AP was implemented for 6 months with 23 stroke patients. In-depth interviews with 8 patients and 8 health professionals were analysed thematically to investigate views of its implementation, acceptability and perceived benefits. Case notes of interviewed patients were analysed descriptively to assess the fidelity of G-AP implementation. G-AP was mostly implemented according to protocol with deviations noted at the planning and appraisal and feedback stages. Each stage was felt to make a useful contribution to the overall process; however, in practice, goal negotiation and goal setting merged into one stage and the appraisal and feedback stage included an explicit decision making component. Only two issues were raised regarding G-APs acceptability: (i) health professionals were concerned about the impact of goal non-attainment on patient's well-being (patients did not share their concerns), and (ii) some patients and health professionals found the patient-held record unhelpful. G-AP was felt to have a positive impact on patient goal attainment and professional goal setting practice. Collaborative partnerships between health professionals and patients were apparent throughout the process. G-AP has been perceived as both beneficial and broadly acceptable in one community rehabilitation team; however, implementation of novel

  9. Implementing a framework for goal setting in community based stroke rehabilitation: a process evaluation

    Science.gov (United States)

    2013-01-01

    Background Goal setting is considered ‘best practice’ in stroke rehabilitation; however, there is no consensus regarding the key components of goal setting interventions or how they should be optimally delivered in practice. We developed a theory-based goal setting and action planning framework (G-AP) to guide goal setting practice. G-AP has 4 stages: goal negotiation, goal setting, action planning & coping planning and appraisal & feedback. All stages are recorded in a patient-held record. In this study we examined the implementation, acceptability and perceived benefits of G-AP in one community rehabilitation team with people recovering from stroke. Methods G-AP was implemented for 6 months with 23 stroke patients. In-depth interviews with 8 patients and 8 health professionals were analysed thematically to investigate views of its implementation, acceptability and perceived benefits. Case notes of interviewed patients were analysed descriptively to assess the fidelity of G-AP implementation. Results G-AP was mostly implemented according to protocol with deviations noted at the planning and appraisal and feedback stages. Each stage was felt to make a useful contribution to the overall process; however, in practice, goal negotiation and goal setting merged into one stage and the appraisal and feedback stage included an explicit decision making component. Only two issues were raised regarding G-APs acceptability: (i) health professionals were concerned about the impact of goal non-attainment on patient’s well-being (patients did not share their concerns), and (ii) some patients and health professionals found the patient-held record unhelpful. G-AP was felt to have a positive impact on patient goal attainment and professional goal setting practice. Collaborative partnerships between health professionals and patients were apparent throughout the process. Conclusions G-AP has been perceived as both beneficial and broadly acceptable in one community

  10. Health-related physical fitness assessment in a community-based cancer rehabilitation setting.

    Science.gov (United States)

    Kirkham, Amy A; Neil-Sztramko, Sarah E; Morgan, Joanne; Hodson, Sara; Weller, Sarah; McRae, Tasha; Campbell, Kristin L

    2015-09-01

    Assessment of physical fitness is important in order to set goals, appropriately prescribe exercise, and monitor change over time. This study aimed to determine the utility of a standardized physical fitness assessment for use in cancer-specific, community-based exercise programs. Tests anticipated to be feasible and suitable for a community setting and a wide range of ages and physical function were chosen to measure body composition, aerobic fitness, strength, flexibility, and balance. Cancer Exercise Trainers/Specialists at cancer-specific, community-based exercise programs assessed new clients (n = 60) at enrollment, designed individualized exercise programs, and then performed a re-assessment 3-6 months later (n = 34). Resting heart rate, blood pressure, body mass index, waist circumference, handgrip strength, chair stands, sit-and-reach, back scratch, single-leg standing, and timed up-and-go tests were considered suitable and feasible tests/measures, as they were performed in most (≥88 %) participants. The ability to capture change was also noted for resting blood pressure (-7/-5 mmHg, p = 0.02), chair stands (+4, p exercise program setting. However, a shorter treadmill protocol and more sensitive balance and upper body flexibility tests should be investigated.

  11. Reconciliation of Decision-Making Heuristics Based on Decision Trees Topologies and Incomplete Fuzzy Probabilities Sets.

    Science.gov (United States)

    Doubravsky, Karel; Dohnal, Mirko

    2015-01-01

    Complex decision making tasks of different natures, e.g. economics, safety engineering, ecology and biology, are based on vague, sparse, partially inconsistent and subjective knowledge. Moreover, decision making economists / engineers are usually not willing to invest too much time into study of complex formal theories. They require such decisions which can be (re)checked by human like common sense reasoning. One important problem related to realistic decision making tasks are incomplete data sets required by the chosen decision making algorithm. This paper presents a relatively simple algorithm how some missing III (input information items) can be generated using mainly decision tree topologies and integrated into incomplete data sets. The algorithm is based on an easy to understand heuristics, e.g. a longer decision tree sub-path is less probable. This heuristic can solve decision problems under total ignorance, i.e. the decision tree topology is the only information available. But in a practice, isolated information items e.g. some vaguely known probabilities (e.g. fuzzy probabilities) are usually available. It means that a realistic problem is analysed under partial ignorance. The proposed algorithm reconciles topology related heuristics and additional fuzzy sets using fuzzy linear programming. The case study, represented by a tree with six lotteries and one fuzzy probability, is presented in details.

  12. Some free boundary problems in potential flow regime usinga based level set method

    Energy Technology Data Exchange (ETDEWEB)

    Garzon, M.; Bobillo-Ares, N.; Sethian, J.A.

    2008-12-09

    Recent advances in the field of fluid mechanics with moving fronts are linked to the use of Level Set Methods, a versatile mathematical technique to follow free boundaries which undergo topological changes. A challenging class of problems in this context are those related to the solution of a partial differential equation posed on a moving domain, in which the boundary condition for the PDE solver has to be obtained from a partial differential equation defined on the front. This is the case of potential flow models with moving boundaries. Moreover the fluid front will possibly be carrying some material substance which will diffuse in the front and be advected by the front velocity, as for example the use of surfactants to lower surface tension. We present a Level Set based methodology to embed this partial differential equations defined on the front in a complete Eulerian framework, fully avoiding the tracking of fluid particles and its known limitations. To show the advantages of this approach in the field of Fluid Mechanics we present in this work one particular application: the numerical approximation of a potential flow model to simulate the evolution and breaking of a solitary wave propagating over a slopping bottom and compare the level set based algorithm with previous front tracking models.

  13. Reconciliation of Decision-Making Heuristics Based on Decision Trees Topologies and Incomplete Fuzzy Probabilities Sets.

    Directory of Open Access Journals (Sweden)

    Karel Doubravsky

    Full Text Available Complex decision making tasks of different natures, e.g. economics, safety engineering, ecology and biology, are based on vague, sparse, partially inconsistent and subjective knowledge. Moreover, decision making economists / engineers are usually not willing to invest too much time into study of complex formal theories. They require such decisions which can be (rechecked by human like common sense reasoning. One important problem related to realistic decision making tasks are incomplete data sets required by the chosen decision making algorithm. This paper presents a relatively simple algorithm how some missing III (input information items can be generated using mainly decision tree topologies and integrated into incomplete data sets. The algorithm is based on an easy to understand heuristics, e.g. a longer decision tree sub-path is less probable. This heuristic can solve decision problems under total ignorance, i.e. the decision tree topology is the only information available. But in a practice, isolated information items e.g. some vaguely known probabilities (e.g. fuzzy probabilities are usually available. It means that a realistic problem is analysed under partial ignorance. The proposed algorithm reconciles topology related heuristics and additional fuzzy sets using fuzzy linear programming. The case study, represented by a tree with six lotteries and one fuzzy probability, is presented in details.

  14. How to Develop Electrochemistry SETS-Based Interactive E-Book?

    Science.gov (United States)

    Munawwarah, M.; Anwar, S.; Sunarya, Y.

    2017-09-01

    This study aims to develop SETS-based interactive e-book teaching material through 4S TMD methode. The research methode in this study is the Development Research (RD) Richey and Klein that consists of design, phase, and evaluation. The design step was to analyze and plan the types of teaching materials instructional developed. There are 12 indicators from 3 standard competences that produced in selection step based new curriculum, the compatibility subject matter and indicators, and the relations between value and subject matter. Structuring steps yield concept map, macro structure, and multiple representation that were arranged to be first draft of teaching material that was used for develop the instruments for characterization step. Chatacterization test have been done to students in 12nd grades with 68 texts. Characterization results indicated that there were some texts included to difficult text. Difficult texts have been reduced with the ways back to qualitative steps and particulation. The second draft of teaching material was arranged based the results of didactic reduction of difficult texts. This draft was used for arranged interactive e-book. The characteristics of this SETS-based interactive e-book that developed were mention about the connection between science with environment, technology, and society. This interactive e-book consists of animation, task, and quizes that taken the interaction of students directly.

  15. Guanine as a hygienic index for allergological relevant mite infestation in mattress dust

    NARCIS (Netherlands)

    Bronswijk, van J.E.M.H.

    1986-01-01

    Since guanine is not only an essential constituent of vital nucleic acids, but also the main end product of nitrogenous waste excretion in arachnids, it is a potential candidate for a hygienic index for mite activity in house dust. The public health significance of these mites is based on their

  16. Gene set-based module discovery in the breast cancer transcriptome

    Directory of Open Access Journals (Sweden)

    Zhang Michael Q

    2009-02-01

    Full Text Available Abstract Background Although microarray-based studies have revealed global view of gene expression in cancer cells, we still have little knowledge about regulatory mechanisms underlying the transcriptome. Several computational methods applied to yeast data have recently succeeded in identifying expression modules, which is defined as co-expressed gene sets under common regulatory mechanisms. However, such module discovery methods are not applied cancer transcriptome data. Results In order to decode oncogenic regulatory programs in cancer cells, we developed a novel module discovery method termed EEM by extending a previously reported module discovery method, and applied it to breast cancer expression data. Starting from seed gene sets prepared based on cis-regulatory elements, ChIP-chip data, and gene locus information, EEM identified 10 principal expression modules in breast cancer based on their expression coherence. Moreover, EEM depicted their activity profiles, which predict regulatory programs in each subtypes of breast tumors. For example, our analysis revealed that the expression module regulated by the Polycomb repressive complex 2 (PRC2 is downregulated in triple negative breast cancers, suggesting similarity of transcriptional programs between stem cells and aggressive breast cancer cells. We also found that the activity of the PRC2 expression module is negatively correlated to the expression of EZH2, a component of PRC2 which belongs to the E2F expression module. E2F-driven EZH2 overexpression may be responsible for the repression of the PRC2 expression modules in triple negative tumors. Furthermore, our network analysis predicts regulatory circuits in breast cancer cells. Conclusion These results demonstrate that the gene set-based module discovery approach is a powerful tool to decode regulatory programs in cancer cells.

  17. Estimating clinical chemistry reference values based on an existing data set of unselected animals.

    Science.gov (United States)

    Dimauro, Corrado; Bonelli, Piero; Nicolussi, Paola; Rassu, Salvatore P G; Cappio-Borlino, Aldo; Pulina, Giuseppe

    2008-11-01

    In an attempt to standardise the determination of biological reference values, the International Federation of Clinical Chemistry (IFCC) has published a series of recommendations on developing reference intervals. The IFCC recommends the use of an a priori sampling of at least 120 healthy individuals. However, such a high number of samples and laboratory analysis is expensive, time-consuming and not always feasible, especially in veterinary medicine. In this paper, an alternative (a posteriori) method is described and is used to determine reference intervals for biochemical parameters of farm animals using an existing laboratory data set. The method used was based on the detection and removal of outliers to obtain a large sample of animals likely to be healthy from the existing data set. This allowed the estimation of reliable reference intervals for biochemical parameters in Sarda dairy sheep. This method may also be useful for the determination of reference intervals for different species, ages and gender.

  18. DICE based flip-flop with SET pulse discriminator on a 90 nm bulk CMOS process

    International Nuclear Information System (INIS)

    Maru, A.; Kuboyama, S.; Shindou, H.; Ebihara, T.; Tamura, T.; Makihara, A.; Hirao, Toshio

    2010-01-01

    In recent years, due to the demand for increased integration and device scaling, integrated circuits have been designed with the design rule less than 100 nm. In such integrated circuits, SEUs and SETs are serious problems because their supply voltage and the threshold voltage of the transistors are decreased. A DICE-based flip-flop with a SET pulse discriminator circuit on a 90-nm bulk CMOS was designed and fabricated. Its improved performance was demonstrated through radiation testing and discussion. SEU sensitivity for the angled irradiation was measured and discussed in this study. The test of edge-on irradiation was performed for the first time. The importance of the angled irradiation for the memory cells that have redundant memory nodes was demonstrated. (author)

  19. A rough set-based association rule approach implemented on a brand trust evaluation model

    Science.gov (United States)

    Liao, Shu-Hsien; Chen, Yin-Ju

    2017-09-01

    In commerce, businesses use branding to differentiate their product and service offerings from those of their competitors. The brand incorporates a set of product or service features that are associated with that particular brand name and identifies the product/service segmentation in the market. This study proposes a new data mining approach, a rough set-based association rule induction, implemented on a brand trust evaluation model. In addition, it presents as one way to deal with data uncertainty to analyse ratio scale data, while creating predictive if-then rules that generalise data values to the retail region. As such, this study uses the analysis of algorithms to find alcoholic beverages brand trust recall. Finally, discussions and conclusion are presented for further managerial implications.

  20. "Economic microscope": The agent-based model set as an instrument in an economic system research

    Science.gov (United States)

    Berg, D. B.; Zvereva, O. M.; Akenov, Serik

    2017-07-01

    To create a valid model of a social or economic system one must consider a lot of parameters, conditions and restrictions. Systems and, consequently, the corresponding models are proved to be very complicated. The problem of such system model engineering can't be solved only with mathematical methods usage. The decision could be found in computer simulation. Simulation does not reject mathematical methods, mathematical expressions could become the foundation for a computer model. In these materials the set of agent-based computer models is under discussion. All the set models simulate productive agents communications, but every model is geared towards the specific goal, and, thus, has its own algorithm and its own peculiarities. It is shown that computer simulation can discover new features of the agents' behavior that can not be obtained by analytical solvation of mathematical equations and thus plays the role of some kind of economic microscope.

  1. Cut set-based risk and reliability analysis for arbitrarily interconnected networks

    Science.gov (United States)

    Wyss, Gregory D.

    2000-01-01

    Method for computing all-terminal reliability for arbitrarily interconnected networks such as the United States public switched telephone network. The method includes an efficient search algorithm to generate minimal cut sets for nonhierarchical networks directly from the network connectivity diagram. Efficiency of the search algorithm stems in part from its basis on only link failures. The method also includes a novel quantification scheme that likewise reduces computational effort associated with assessing network reliability based on traditional risk importance measures. Vast reductions in computational effort are realized since combinatorial expansion and subsequent Boolean reduction steps are eliminated through analysis of network segmentations using a technique of assuming node failures to occur on only one side of a break in the network, and repeating the technique for all minimal cut sets generated with the search algorithm. The method functions equally well for planar and non-planar networks.

  2. A jazz-based approach for optimal setting of pressure reducing valves in water distribution networks

    Science.gov (United States)

    De Paola, Francesco; Galdiero, Enzo; Giugni, Maurizio

    2016-05-01

    This study presents a model for valve setting in water distribution networks (WDNs), with the aim of reducing the level of leakage. The approach is based on the harmony search (HS) optimization algorithm. The HS mimics a jazz improvisation process able to find the best solutions, in this case corresponding to valve settings in a WDN. The model also interfaces with the improved version of a popular hydraulic simulator, EPANET 2.0, to check the hydraulic constraints and to evaluate the performances of the solutions. Penalties are introduced in the objective function in case of violation of the hydraulic constraints. The model is applied to two case studies, and the obtained results in terms of pressure reductions are comparable with those of competitive metaheuristic algorithms (e.g. genetic algorithms). The results demonstrate the suitability of the HS algorithm for water network management and optimization.

  3. Production and characterization of setting hydraulic cements based on calcium phosphate

    International Nuclear Information System (INIS)

    Oliveira, Luci C. de; Rigo, Eliana C.S.; Santos, Luis A dos; Boschi, Anselmo Ortega; Carrodeguas, Raul G.

    1997-01-01

    Setting hydraulic cements based on calcium phosphate has risen great interest in scientific literature during recent years due to their total bio compatibility and to the fact that they harden 'in situ', providing easy handling and adaptation to the shape and dimensions of the defect which requires correction, differently from the predecessors, the calcium phosphate ceramics (Hydroxy apatite, β-tri calcium phosphate, biphasic, etc) in the shape of dense or porous blocks and grains. In the work, three calcium-phosphate cement compositions were studied. The resulting compositions were characterized according to the following aspects: setting times, pH, mechanical resistance, crystalline phases, microstructure and solubility in SBF (Simulated Body Fluid). The results show a potential use for the compositions. (author)

  4. Assessing Viability and Sustainability: a Systems-based Approach for Deriving Comprehensive Indicator Sets

    Directory of Open Access Journals (Sweden)

    Hartmut Bossel

    2002-01-01

    Full Text Available Performance assessment in holistic approaches such as integrated natural resource management has to deal with a complex set of interacting and self-organizing natural and human systems and agents, all pursuing their own "interests" while also contributing to the development of the total system. Performance indicators must therefore reflect the viability of essential component systems as well as their contributions to the viability and performance of other component systems and the total system under study. A systems-based derivation of a comprehensive set of performance indicators first requires the identification of essential component systems, their mutual (often hierarchical or reciprocal relationships, and their contributions to the performance of other component systems and the total system. The second step consists of identifying the indicators that represent the viability states of the component systems and the contributions of these component systems to the performance of the total system. The search for performance indicators is guided by the realization that essential interests (orientations or orientors of systems and actors are shaped by both their characteristic functions and the fundamental and general properties of their system environments (e.g., normal environmental state, scarcity of resources, variety, variability, change, other coexisting systems. To be viable, a system must devote an essential minimum amount of attention to satisfying the "basic orientors" that respond to the properties of its environment. This fact can be used to define comprehensive and system-specific sets of performance indicators that reflect all important concerns. Often, qualitative indicators and the study of qualitative systems are sufficient for reliable performance assessments. However, this approach can also be formalized for quantitative computer-assisted assessment. Examples are presented of indicator sets for the sustainable development of

  5. KECEMASAN MATEMATIK SISWA KELAS XI SMK BERDASARKAN MAHMOOD DAN KHATOON DALAM SETTING PROBLEM BASED LEARNING

    Directory of Open Access Journals (Sweden)

    Desy Kumalasari

    2017-03-01

    Full Text Available Penelitian ini bertujuan untuk mendeskripsikan kualitas pembelajaran matematika dalam setting problem based learning terhadap kemampuan pemecahan masalah siswa kelas XI SMK, mendeskripsikan tingkat kecemasan matematik siswa dalam mengikuti pelajaran matematika dalam setting problem based learning, dan mendeskripsikan kemampuan pemecahan masalah berdasarkan tingkat kecemasan matematik. Metode penelitian ini adalah mixed methods. Subjek dalam penelitian ini adalah siswa kelas XI TKKB SMKN 10 Semarang. Selanjutnya dipilih 6 siswa dari masing-masing kemampuan pemecahan masalah berdasarkan tingkat kecemasan matematik. Metode pengumpulan data dalam penelitian ini adalah metode observasi, dokumentasi, tes, dan wawancara. Analisis data dalam penelitian ini adalah analisis kualitas pembelajaran, analisis tingkat kecemasan matematik, analisis kemampuan pemecahan masalah, reduksi data, penyajian data, dan menarik kesimpulan dan verifikasi. Hasil penelitian ini diperoleh: kualitas pembelajaran dalam setting problem based learning dalam kategori baik, tingkat kecemasan matematik siswa kelas XI SMKN 10 Semarang sebelum pembelajaran matematika adalah rendah, pada saat kegiatan pembelajaran adalah tinggi, dan setelah kegiatan pembelajaran adalah rendah, untuk tingkat kecemasan sebelum tes kemampuan pemecahan masalah adalah rendah, dan setelah tes kemampuan pemecahan masalah adalah tinggi, dan kemampuan pemecahan masalah matematika siswa yang tingkat kecemasan matematik rendah lebih baik dari pada siswa yang tingkat kecemasan matematiknya tinggi.   This research aimed to describe the quality of  mathematics teaching in the setting of problem based learning to problem­solving ability of class XI student of SMK, the level of mathematics  anxiety  of   students  in  participating  in  the  setting  math  problem  based learning, and the problem­solving abilities by mathematics anxiety levels. This research method is mixed methods. Subjects in this

  6. A population-based model for priority setting across the care continuum and across modalities

    Directory of Open Access Journals (Sweden)

    Mortimer Duncan

    2006-03-01

    Full Text Available Abstract Background The Health-sector Wide (HsW priority setting model is designed to shift the focus of priority setting away from 'program budgets' – that are typically defined by modality or disease-stage – and towards well-defined target populations with a particular disease/health problem. Methods The key features of the HsW model are i a disease/health problem framework, ii a sequential approach to covering the entire health sector, iii comprehensiveness of scope in identifying intervention options and iv the use of objective evidence. The HsW model redefines the unit of analysis over which priorities are set to include all mutually exclusive and complementary interventions for the prevention and treatment of each disease/health problem under consideration. The HsW model is therefore incompatible with the fragmented approach to priority setting across multiple program budgets that currently characterises allocation in many health systems. The HsW model employs standard cost-utility analyses and decision-rules with the aim of maximising QALYs contingent upon the global budget constraint for the set of diseases/health problems under consideration. It is recognised that the objective function may include non-health arguments that would imply a departure from simple QALY maximisation and that political constraints frequently limit degrees of freedom. In addressing these broader considerations, the HsW model can be modified to maximise value-weighted QALYs contingent upon the global budget constraint and any political constraints bearing upon allocation decisions. Results The HsW model has been applied in several contexts, recently to osteoarthritis, that has demonstrated both its practical application and its capacity to derive clear evidenced-based policy recommendations. Conclusion Comparisons with other approaches to priority setting, such as Programme Budgeting and Marginal Analysis (PBMA and modality-based cost

  7. Water-based adhesives with tailored hydrophobic association: dilution resistance and improved setting behavior.

    Science.gov (United States)

    Dundua, Alexander; Landfester, Katharina; Taden, Andreas

    2014-11-01

    Hydrophobic association and stimuli-responsiveness is a powerful tool towards water-based adhesives with strongly improved properties, which is demonstrated based on the example of hydrophobically modified alkali-soluble latexes (HASE) with modulated association. Their rheological properties are highly tunable due to the hydrophobic domains that act as physical crosslinking sites of adjustable interaction strength. Ethanol, propanol, and butanol are used as water-soluble model additives with different hydrophobicity in order to specifically target the association sites and impact the viscoelastic properties and stimuli-responsiveness. The rheological and mechanical property response upon dilution with water can be tailored, and dilution-resistant or even dilution-thickening systems are obtained. The investigations are of high importance for water-based adhesives, as our findings provide insight into general structure-property relationships to improve their setting behavior, especially upon contact with wet substrates. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  8. Implementing evidence-based policy in a network setting: road safety policy in the Netherlands.

    Science.gov (United States)

    Bax, Charlotte; de Jong, Martin; Koppenjan, Joop

    2010-01-01

    In the early 1990s, in order to improve road safety in The Netherlands, the Institute for Road Safety Research (SWOV) developed an evidence-based "Sustainable Safety" concept. Based on this concept, Dutch road safety policy, was seen as successful and as a best practice in Europe. In The Netherlands, the policy context has now changed from a sectoral policy setting towards a fragmented network in which safety is a facet of other transport-related policies. In this contribution, it is argued that the implementation strategy underlying Sustainable Safety should be aligned with the changed context. In order to explore the adjustments needed, two perspectives of policy implementation are discussed: (1) national evidence-based policies with sectoral implementation; and (2) decentralized negotiation on transport policy in which road safety is but one aspect. We argue that the latter approach matches the characteristics of the newly evolved policy context best, and conclude with recommendations for reformulating the implementation strategy.

  9. Impact of Implementing a Wiki to Develop Structured Electronic Order Sets on Physicians' Intention to Use Wiki-Based Order Sets.

    Science.gov (United States)

    Archambault, Patrick Michel; Beaupré, Pierre; Bégin, Laura; Dupuis, Audrey; Côté, Mario; Légaré, France

    2016-05-17

    Wikis have the potential to promote best practices in health systems by sharing order sets with a broad community of stakeholders. However, little is known about the impact of using a wiki on clinicians' intention to use wiki-based order sets. The aims of this study were: (1) to describe the use of a wiki to create structured order sets for a single emergency department; (2) to evaluate whether the use of this wiki changed emergency physicians' future intention to use wiki-based order sets; and (3) to understand the impact of using the wiki on the behavioral determinants for using wiki-based order sets. This was a pre/post-intervention mixed-methods study conducted in one hospital in Lévis, Quebec. The intervention was comprised of receiving access to and being motivated by the department head to use a wiki for 6 months to create electronic order sets designed to be used in a computer physician order entry system. Before and after our intervention, we asked participants to complete a previously validated questionnaire based on the Theory of Planned Behavior. Our primary outcome was the intention to use wiki-based order sets in clinical practice. We also assessed participants' attitude, perceived behavioral control, and subjective norm to use wiki-based order sets. Paired pre- and post-Likert scores were compared using Wilcoxon signed-rank tests. The post-questionnaire also included open-ended questions concerning participants' comments about the wiki, which were then classified into themes using an existing taxonomy. Twenty-eight emergency physicians were enrolled in the study (response rate: 100%). Physicians' mean intention to use a wiki-based reminder was 5.42 (SD 1.04) before the intervention, and increased to 5.81 (SD 1.25) on a 7-point Likert scale (P =.03) after the intervention. Participants' attitude towards using a wiki-based order set also increased from 5.07 (SD 0.90) to 5.57 (SD 0.88) (P =.003). Perceived behavioral control and subjective norm did not

  10. Characterization of mammographic masses based on level set segmentation with new image features and patient information

    International Nuclear Information System (INIS)

    Shi Jiazheng; Sahiner, Berkman; Chan Heangping; Ge Jun; Hadjiiski, Lubomir; Helvie, Mark A.; Nees, Alexis; Wu Yita; Wei Jun; Zhou Chuan; Zhang Yiheng; Cui Jing

    2008-01-01

    Computer-aided diagnosis (CAD) for characterization of mammographic masses as malignant or benign has the potential to assist radiologists in reducing the biopsy rate without increasing false negatives. The purpose of this study was to develop an automated method for mammographic mass segmentation and explore new image based features in combination with patient information in order to improve the performance of mass characterization. The authors' previous CAD system, which used the active contour segmentation, and morphological, textural, and spiculation features, has achieved promising results in mass characterization. The new CAD system is based on the level set method and includes two new types of image features related to the presence of microcalcifications with the mass and abruptness of the mass margin, and patient age. A linear discriminant analysis (LDA) classifier with stepwise feature selection was used to merge the extracted features into a classification score. The classification accuracy was evaluated using the area under the receiver operating characteristic curve. The authors' primary data set consisted of 427 biopsy-proven masses (200 malignant and 227 benign) in 909 regions of interest (ROIs) (451 malignant and 458 benign) from multiple mammographic views. Leave-one-case-out resampling was used for training and testing. The new CAD system based on the level set segmentation and the new mammographic feature space achieved a view-based A z value of 0.83±0.01. The improvement compared to the previous CAD system was statistically significant (p=0.02). When patient age was included in the new CAD system, view-based and case-based A z values were 0.85±0.01 and 0.87±0.02, respectively. The study also demonstrated the consistency of the newly developed CAD system by evaluating the statistics of the weights of the LDA classifiers in leave-one-case-out classification. Finally, an independent test on the publicly available digital database for screening

  11. An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms.

    Science.gov (United States)

    Castillo-Cara, Manuel; Lovón-Melgarejo, Jesús; Bravo-Rocca, Gusseppe; Orozco-Barbosa, Luis; García-Varea, Ismael

    2017-06-07

    Nowadays, there is a great interest in developing accurate wireless indoor localization mechanisms enabling the implementation of many consumer-oriented services. Among the many proposals, wireless indoor localization mechanisms based on the Received Signal Strength Indication (RSSI) are being widely explored. Most studies have focused on the evaluation of the capabilities of different mobile device brands and wireless network technologies. Furthermore, different parameters and algorithms have been proposed as a means of improving the accuracy of wireless-based localization mechanisms. In this paper, we focus on the tuning of the RSSI fingerprint to be used in the implementation of a Bluetooth Low Energy 4.0 (BLE4.0) Bluetooth localization mechanism. Following a holistic approach, we start by assessing the capabilities of two Bluetooth sensor/receiver devices. We then evaluate the relevance of the RSSI fingerprint reported by each BLE4.0 beacon operating at various transmission power levels using feature selection techniques. Based on our findings, we use two classification algorithms in order to improve the setting of the transmission power levels of each of the BLE4.0 beacons. Our main findings show that our proposal can greatly improve the localization accuracy by setting a custom transmission power level for each BLE4.0 beacon.

  12. Evaluation of students' perceptions on game based learning program using fuzzy set conjoint analysis

    Science.gov (United States)

    Sofian, Siti Siryani; Rambely, Azmin Sham

    2017-04-01

    An effectiveness of a game based learning (GBL) can be determined from an application of fuzzy set conjoint analysis. The analysis was used due to the fuzziness in determining individual perceptions. This study involved a survey collected from 36 students aged 16 years old of SMK Mersing, Johor who participated in a Mathematics Discovery Camp organized by UKM research group called PRISMatik. The aim of this research was to determine the effectiveness of the module delivered to cultivate interest in mathematics subject in the form of game based learning through different values. There were 11 games conducted for the participants and students' perceptions based on the evaluation of six criteria were measured. A seven-point Likert scale method was used to collect students' preferences and perceptions. This scale represented seven linguistic terms to indicate their perceptions on each module of GBLs. Score of perceptions were transformed into degree of similarity using fuzzy set conjoint analysis. It was found that Geometric Analysis Recreation (GEAR) module was able to increase participant preference corresponded to the six attributes generated. The computations were also made for the other 10 games conducted during the camp. Results found that interest, passion and team work were the strongest values obtained from GBL activities in this camp as participants stated very strongly agreed that these attributes fulfilled their preferences in every module. This was an indicator of efficiency for the program. The evaluation using fuzzy conjoint analysis implicated the successfulness of a fuzzy approach to evaluate students' perceptions toward GBL.

  13. An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms

    Directory of Open Access Journals (Sweden)

    Manuel Castillo-Cara

    2017-06-01

    Full Text Available Nowadays, there is a great interest in developing accurate wireless indoor localization mechanisms enabling the implementation of many consumer-oriented services. Among the many proposals, wireless indoor localization mechanisms based on the Received Signal Strength Indication (RSSI are being widely explored. Most studies have focused on the evaluation of the capabilities of different mobile device brands and wireless network technologies. Furthermore, different parameters and algorithms have been proposed as a means of improving the accuracy of wireless-based localization mechanisms. In this paper, we focus on the tuning of the RSSI fingerprint to be used in the implementation of a Bluetooth Low Energy 4.0 (BLE4.0 Bluetooth localization mechanism. Following a holistic approach, we start by assessing the capabilities of two Bluetooth sensor/receiver devices. We then evaluate the relevance of the RSSI fingerprint reported by each BLE4.0 beacon operating at various transmission power levels using feature selection techniques. Based on our findings, we use two classification algorithms in order to improve the setting of the transmission power levels of each of the BLE4.0 beacons. Our main findings show that our proposal can greatly improve the localization accuracy by setting a custom transmission power level for each BLE4.0 beacon.

  14. Model based decision support system of operating settings for MMAT nozzles

    Directory of Open Access Journals (Sweden)

    Fritz Bradley Keith

    2016-04-01

    Full Text Available Droplet size, which is affected by nozzle type, nozzle setups and operation, and spray solution, is one of the most critical factors influencing spray performance, environment pollution, food safety, and must be considered as part of any application scenario. Characterizing spray nozzles can be a timely and expensive proposition if the entire operational space (all combinations of spray pressure and orifice size, what influence flow rate is to be evaluated. This research proposes a structured, experimental design that allows for the development of computational models for droplet size based on any combination of a nozzle’s potential operational settings. The developed droplet size determination model can be used as Decision Support System (DSS for precise selection of sprayer working parameters to adapt to local field scenarios. Five nozzle types (designs were evaluated across their complete range of orifice size (flow rate* and spray pressures using a response surface experimental design. Several of the models showed high level fits of the modeled to the measured data while several did not as a result of the lack of significant effect from either orifice size (flow rate* or spray pressure. The computational models were integrated into a spreadsheet based user interface for ease of use. The proposed experimental design provides for efficient nozzle evaluations and development of computational models that allow for the determination of droplet size spectrum and spraying classification for any combination of a given nozzle’s operating settings. The proposed DSS will allow for the ready assessment and modification of a sprayers performance based on the operational settings, to ensure the application is made following recommendations in plant protection products (PPP labels.

  15. Level Set-Based Topology Optimization for the Design of an Electromagnetic Cloak With Ferrite Material

    DEFF Research Database (Denmark)

    Otomori, Masaki; Yamada, Takayuki; Andkjær, Jacob Anders

    2013-01-01

    . A level set-based topology optimization method incorporating a fictitious interface energy is used to find optimized configurations of the ferrite material. The numerical results demonstrate that the optimization successfully found an appropriate ferrite configuration that functions as an electromagnetic......This paper presents a structural optimization method for the design of an electromagnetic cloak made of ferrite material. Ferrite materials exhibit a frequency-dependent degree of permeability, due to a magnetic resonance phenomenon that can be altered by changing the magnitude of an externally...

  16. Observer-based design of set-point tracking adaptive controllers for nonlinear chaotic systems

    International Nuclear Information System (INIS)

    Khaki-Sedigh, A.; Yazdanpanah-Goharrizi, A.

    2006-01-01

    A gradient based approach for the design of set-point tracking adaptive controllers for nonlinear chaotic systems is presented. In this approach, Lyapunov exponents are used to select the controller gain. In the case of unknown or time varying chaotic plants, the Lyapunov exponents may vary during the plant operation. In this paper, an effective adaptive strategy is used for online identification of Lyapunov exponents and adaptive control of nonlinear chaotic plants. Also, a nonlinear observer for estimation of the states is proposed. Simulation results are provided to show the effectiveness of the proposed methodology

  17. Observer-based design of set-point tracking adaptive controllers for nonlinear chaotic systems

    Energy Technology Data Exchange (ETDEWEB)

    Khaki-Sedigh, A. [Department of Electrical Engineering, K.N. Toosi University of Technology, Sayyed Khandan Bridge, Shariati Street, Tehran 16314 (Iran, Islamic Republic of)]. E-mail: sedigh@kntu.ac.ir; Yazdanpanah-Goharrizi, A. [Department of Electrical Engineering, K.N. Toosi University of Technology, Sayyed Khandan Bridge, Shariati Street, Tehran 16314 (Iran, Islamic Republic of)]. E-mail: yazdanpanah@ee.kntu.ac.ir

    2006-09-15

    A gradient based approach for the design of set-point tracking adaptive controllers for nonlinear chaotic systems is presented. In this approach, Lyapunov exponents are used to select the controller gain. In the case of unknown or time varying chaotic plants, the Lyapunov exponents may vary during the plant operation. In this paper, an effective adaptive strategy is used for online identification of Lyapunov exponents and adaptive control of nonlinear chaotic plants. Also, a nonlinear observer for estimation of the states is proposed. Simulation results are provided to show the effectiveness of the proposed methodology.

  18. Research of hydroelectric generating set low-frequency vibration monitoring system based on optical fiber sensing

    Science.gov (United States)

    Min, Li; Zhang, Xiaolei; Zhang, Faxiang; Sun, Zhihui; Li, ShuJuan; Wang, Meng; Wang, Chang

    2017-10-01

    In order to satisfy hydroelectric generating set low-frequency vibration monitoring, the design of Passive low-frequency vibration monitoring system based on Optical fiber sensing in this paper. The hardware of the system adopts the passive optical fiber grating sensor and unbalanced-Michelson interferometer. The software system is used to programming by Labview software and finishing the control of system. The experiment show that this system has good performance on the standard vibration testing-platform and it meets system requirements. The frequency of the monitoring system can be as low as 0.2Hz and the resolution is 0.01Hz.

  19. CUDA based Level Set Method for 3D Reconstruction of Fishes from Large Acoustic Data

    DEFF Research Database (Denmark)

    Sharma, Ojaswa; Anton, François

    2009-01-01

    Acoustic images present views of underwater dynamics, even in high depths. With multi-beam echo sounders (SONARs), it is possible to capture series of 2D high resolution acoustic images. 3D reconstruction of the water column and subsequent estimation of fish abundance and fish species identificat...... of suppressing threshold and show its convergence as the evolution proceeds. We also present a GPU based streaming computation of the method using NVIDIA's CUDA framework to handle large volume data-sets. Our implementation is optimised for memory usage to handle large volumes....

  20. Controllable SET process in O-Ti-Sb-Te based phase change memory for synaptic application

    Science.gov (United States)

    Ren, Kun; Li, Ruiheng; Chen, Xin; Wang, Yong; Shen, Jiabin; Xia, Mengjiao; Lv, Shilong; Ji, Zhenguo; Song, Zhitang

    2018-02-01

    The nonlinear resistance change and small bit resolution of phase change memory (PCM) under identical operation pulses will limit its performance as a synaptic device. The octahedral Ti-Te units in Ti-Sb-Te, regarded as nucleation seeds, are degenerated when Ti is bonded with O, causing a slower crystallization and a controllable SET process in PCM cells. A linear resistance change under identical pulses, a resolution of ˜8 bits, and an ON/OFF ratio of ˜102 has been achieved in O-Ti-Sb-Te based PCM, showing its potential application as a synaptic device to improve recognition performance of the neural network.

  1. MXA: a customizable HDF5-based data format for multi-dimensional data sets

    International Nuclear Information System (INIS)

    Jackson, M; Simmons, J P; De Graef, M

    2010-01-01

    A new digital file format is proposed for the long-term archival storage of experimental data sets generated by serial sectioning instruments. The format is known as the multi-dimensional eXtensible Archive (MXA) format and is based on the public domain Hierarchical Data Format (HDF5). The MXA data model, its description by means of an eXtensible Markup Language (XML) file with associated Document Type Definition (DTD) are described in detail. The public domain MXA package is available through a dedicated web site (mxa.web.cmu.edu), along with implementation details and example data files

  2. Superior coexistence: systematicALLY regulatING land subsidence BASED on set pair theory

    Directory of Open Access Journals (Sweden)

    Y. Chen

    2015-11-01

    Full Text Available Anthropogenic land subsidence is an environmental side effect of exploring and using natural resources in the process of economic development. The key points of the system for controlling land subsidence include cooperation and superior coexistence while the economy develops, exploring and using natural resources, and geological environmental safety. Using the theory and method of set pair analysis (SPA, this article anatomises the factors, effects, and transformation of land subsidence. Based on the principle of superior coexistence, this paper promotes a technical approach to the system for controlling land subsidence, in order to improve the prevention and control of geological hazards.

  3. Valuing setting-based recreation for selected visitors to national forests in the southern United States

    Science.gov (United States)

    Kavita Sardana; John C. Bergstrom; J. M.  Bowker

    2016-01-01

    In this study we estimate selected visitors’ demand and value for recreational trips to settings such as developed vs. undeveloped sites in U.S. national forests in the Southern United States using the travel cost method. The setting-based approach allows for valuation of multi-activity trips to particular settings. The results from an adjusted Poisson lognormal...

  4. Internet TV set-top devices for web-based projects: smooth sailing or rough surfing?

    Science.gov (United States)

    Johnson, K B; Ravert, R D; Everton, A

    1999-01-01

    The explosion of projects utilizing the World Wide Web in the home environment offer a select group of patients a tremendous tool for information management and health-related support. However, many patients do not have ready access to the Internet in their homes. For these patients, Internet TV set-top devices may provide a low cost alternative to PC-based web browsers. As a part of a larger descriptive study providing adolescents with access to an on-line support group, we investigated the feasibility of using an Internet TV set-top device for those patients in need of Internet access. Although the devices required some configuration before being installed in the home environment, they required a minimum of support and were well accepted by these patients. However, these patients used the Internet less frequently than their peers with home personal computers--most likely due to a lack of easy availability of the telephone or television at all times. Internet TV set-top devices represent a feasible alternative access to the World Wide Web for some patients. Any attempt to use these devices should, however, be coupled with education to all family members, and an attempt at providing a dedicated television and phone line.

  5. EEG-based recognition of video-induced emotions: selecting subject-independent feature set.

    Science.gov (United States)

    Kortelainen, Jukka; Seppänen, Tapio

    2013-01-01

    Emotions are fundamental for everyday life affecting our communication, learning, perception, and decision making. Including emotions into the human-computer interaction (HCI) could be seen as a significant step forward offering a great potential for developing advanced future technologies. While the electrical activity of the brain is affected by emotions, offers electroencephalogram (EEG) an interesting channel to improve the HCI. In this paper, the selection of subject-independent feature set for EEG-based emotion recognition is studied. We investigate the effect of different feature sets in classifying person's arousal and valence while watching videos with emotional content. The classification performance is optimized by applying a sequential forward floating search algorithm for feature selection. The best classification rate (65.1% for arousal and 63.0% for valence) is obtained with a feature set containing power spectral features from the frequency band of 1-32 Hz. The proposed approach substantially improves the classification rate reported in the literature. In future, further analysis of the video-induced EEG changes including the topographical differences in the spectral features is needed.

  6. NASIS data base management system: IBM 360 TSS implementation. Volume 3: Data set specifications

    Science.gov (United States)

    1973-01-01

    The data set specifications for the NASA Aerospace Safety Information System (NASIS) are presented. The data set specifications describe the content, format, and medium of communication of every data set required by the system. All relevant information pertinent to a particular data set is prepared in a standard form and centralized in a single document. The format for the data set is provided.

  7. NASIS data base management system - IBM 360/370 OS MVT implementation. 3: Data set specifications

    Science.gov (United States)

    1973-01-01

    The data set specifications for the NASA Aerospace Safety Information System (NASIS) are presented. The data set specifications describe the content, format, and medium of communication of every data set required by the system. All relevant information pertinent to a particular set is prepared in a standard form and centralized in a single document. The format for the data set is provided.

  8. Developing a digital photography-based method for dietary analysis in self-serve dining settings.

    Science.gov (United States)

    Christoph, Mary J; Loman, Brett R; Ellison, Brenna

    2017-07-01

    Current population-based methods for assessing dietary intake, including food frequency questionnaires, food diaries, and 24-h dietary recall, are limited in their ability to objectively measure food intake. Digital photography has been identified as a promising addition to these techniques but has rarely been assessed in self-serve settings. We utilized digital photography to examine university students' food choices and consumption in a self-serve dining hall setting. Research assistants took pre- and post-photos of students' plates during lunch and dinner to assess selection (presence), servings, and consumption of MyPlate food groups. Four coders rated the same set of approximately 180 meals for inter-rater reliability analyses; approximately 50 additional meals were coded twice by each coder to assess intra-rater agreement. Inter-rater agreement on the selection, servings, and consumption of food groups was high at 93.5%; intra-rater agreement was similarly high with an average of 95.6% agreement. Coders achieved the highest rates of agreement in assessing if a food group was present on the plate (95-99% inter-rater agreement, depending on food group) and estimating the servings of food selected (81-98% inter-rater agreement). Estimating consumption, particularly for items such as beans and cheese that were often in mixed dishes, was more challenging (77-94% inter-rater agreement). Results suggest that the digital photography method presented is feasible for large studies in real-world environments and can provide an objective measure of food selection, servings, and consumption with a high degree of agreement between coders; however, to make accurate claims about the state of dietary intake in all-you-can-eat, self-serve settings, researchers will need to account for the possibility of diners taking multiple trips through the serving line. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. A Variational Level Set Approach Based on Local Entropy for Image Segmentation and Bias Field Correction.

    Science.gov (United States)

    Tang, Jian; Jiang, Xiaoliang

    2017-01-01

    Image segmentation has always been a considerable challenge in image analysis and understanding due to the intensity inhomogeneity, which is also commonly known as bias field. In this paper, we present a novel region-based approach based on local entropy for segmenting images and estimating the bias field simultaneously. Firstly, a local Gaussian distribution fitting (LGDF) energy function is defined as a weighted energy integral, where the weight is local entropy derived from a grey level distribution of local image. The means of this objective function have a multiplicative factor that estimates the bias field in the transformed domain. Then, the bias field prior is fully used. Therefore, our model can estimate the bias field more accurately. Finally, minimization of this energy function with a level set regularization term, image segmentation, and bias field estimation can be achieved. Experiments on images of various modalities demonstrated the superior performance of the proposed method when compared with other state-of-the-art approaches.

  10. A Novel MADM Approach Based on Fuzzy Cross Entropy with Interval-Valued Intuitionistic Fuzzy Sets

    Directory of Open Access Journals (Sweden)

    Xin Tong

    2015-01-01

    Full Text Available The paper presents a novel multiple attribute decision-making (MADM approach for the problem with completely unknown attribute weights in the framework of interval-valued intuitionistic fuzzy sets (IVIFS. First, the fuzzy cross entropy and discrimination degree of IVIFS are defied. Subsequently, based on the discrimination degree of IVIFS, a nonlinear programming model to minimize the total deviation of discrimination degrees between alternatives and the positive ideal solution PIS as well as the negative ideal solution (NIS is constructed to obtain the attribute weights and, then, the weighted discrimination degree. Finally, all the alternatives are ranked according to the relative closeness coefficients using the extended TOPSIS method, and the most desirable alternative is chosen. The proposed approach extends the research method of MADM based on the IVIF cross entropy. Finally, we illustrate the feasibility and validity of the proposed method by two examples.

  11. Thermogram breast cancer prediction approach based on Neutrosophic sets and fuzzy c-means algorithm.

    Science.gov (United States)

    Gaber, Tarek; Ismail, Gehad; Anter, Ahmed; Soliman, Mona; Ali, Mona; Semary, Noura; Hassanien, Aboul Ella; Snasel, Vaclav

    2015-08-01

    The early detection of breast cancer makes many women survive. In this paper, a CAD system classifying breast cancer thermograms to normal and abnormal is proposed. This approach consists of two main phases: automatic segmentation and classification. For the former phase, an improved segmentation approach based on both Neutrosophic sets (NS) and optimized Fast Fuzzy c-mean (F-FCM) algorithm was proposed. Also, post-segmentation process was suggested to segment breast parenchyma (i.e. ROI) from thermogram images. For the classification, different kernel functions of the Support Vector Machine (SVM) were used to classify breast parenchyma into normal or abnormal cases. Using benchmark database, the proposed CAD system was evaluated based on precision, recall, and accuracy as well as a comparison with related work. The experimental results showed that our system would be a very promising step toward automatic diagnosis of breast cancer using thermograms as the accuracy reached 100%.

  12. Adaptively loaded IM/DD optical OFDM based on set-partitioned QAM formats.

    Science.gov (United States)

    Zhao, Jian; Chen, Lian-Kuan

    2017-04-17

    We investigate the constellation design and symbol error rate (SER) of set-partitioned (SP) quadrature amplitude modulation (QAM) formats. Based on the SER analysis, we derive the adaptive bit and power loading algorithm for SP QAM based intensity-modulation direct-detection (IM/DD) orthogonal frequency division multiplexing (OFDM). We experimentally show that the proposed system significantly outperforms the conventional adaptively-loaded IM/DD OFDM and can increase the data rate from 36 Gbit/s to 42 Gbit/s in the presence of severe dispersion-induced spectral nulls after 40-km single-mode fiber. It is also shown that the adaptive algorithm greatly enhances the tolerance to fiber nonlinearity and allows for more power budget.

  13. Multiformat decoder for a DSP-based IP set-top box

    Science.gov (United States)

    Pescador, F.; Garrido, M. J.; Sanz, C.; Juárez, E.; Samper, D.; Antoniello, R.

    2007-05-01

    Internet Protocol Set-Top Boxes (IP STBs) based on single-processor architectures have been recently introduced in the market. In this paper, the implementation of an MPEG-4 SP/ASP video decoder for a multi-format IP STB based on a TMS320DM641 DSP is presented. An initial decoder for PC platform was fully tested and ported to the DSP. Using this code an optimization process was started achieving a 90% speedup. This process allows real-time MPEG-4 SP/ASP decoding. The MPEG-4 decoder has been integrated in an IP STB and tested in a real environment using DVD movies and TV channels with excellent results.

  14. ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN

    Directory of Open Access Journals (Sweden)

    Daniel-Petru GHENCEA

    2017-06-01

    Full Text Available The paper proposes a prediction model of behavior spindle from the point of view of the thermal deformations and the level of the vibrations by highlighting and processing the characteristic equations. This is a model analysis for the shaft with similar electro-mechanical characteristics can be achieved using a hybrid analysis based on artificial intelligence (genetic algorithms - artificial neural networks - fuzzy logic. The paper presents a prediction mode obtaining valid range of values for spindles with similar characteristics based on measured data sets from a few spindles test without additional measures being required. Extracting polynomial functions of graphs resulting from simultaneous measurements and predict the dynamics of the two features with multi-objective criterion is the main advantage of this method.

  15. Teaching Sustainabilty in the Setting of a Field-based Class on the Oceans in Captivity

    Science.gov (United States)

    Macko, Stephen; Tuite, Michael; O'Connell, Matthew

    2013-04-01

    Sustainability awareness is increasingly a subject in educational settings. Marine science classes are perfect settings of establishing sustainability awareness owing to declining populations of organisms and perceived collapsenin fisheries worldwide. Students in oceanography classes often request more direct exposure to actual ocean situations or field trips. During regular session (13 week) or shorter term (4 week) summer classes such long trips are logistically difficult owing to large numbers of students involved or timing. This new approach to such a course supplement addresses the requests by utilizing local resources and short field trips for a limited number of students (20) to locations in which Ocean experiences are available, and are often supported through education and outreach components. The vision of the class was a mixture of classroom time, readings, along with paper and laboratories. In addition short day-long trips to locations where the ocean was "captured" were also used to supplement the experience as well as speakers involved with aquaculture ("cultivated") Central Virginia is a fortunate location for such a class, with close access for "day travel" to the Chesapeake Bay and numerous field stations, museums with ocean-based exhibits (the Smithsonian and National Zoo) that address both extant and extinct Earth history, as well as national/state aquaria in Baltimore, Washington and Virginia Beach. Furthermore, visits to local seafood markets at local grocery stores, or larger city markets) enhance the exposure to productivity in the ocean, and viability of the fisheries sustainability. The course could then address not only the particulars of the marine science, but also aspects of sustainability with discussions on ethics, including keeping animals in captivity or overfishing of particular species and the special difficulties that arise from captive or culturing ocean populations. In addition, the class was encouraged to post web-based

  16. Structural changes in the German pharmaceutical market: price setting mechanisms based on the early benefit evaluation.

    Science.gov (United States)

    Henschke, Cornelia; Sundmacher, Leonie; Busse, Reinhard

    2013-03-01

    In the past, free price setting mechanisms in Germany led to high prices of patented pharmaceuticals and to increasing expenditures in the pharmaceutical sector. In order to control patented pharmaceutical prices and to curb increasing pharmaceutical spending, the Act for Restructuring the Pharmaceutical Market in Statutory Health Insurance (AMNOG) came into effect on 1st January 2011. In a structured dossier, pharmaceutical manufacturers have to demonstrate the additional therapeutic benefit of the newly approved pharmaceutical compared to its appropriate comparator. According to the level of additional benefit, pharmaceuticals will be subject to price negotiations between the Federal Association of Statutory Health Insurance Funds and the pharmaceutical company concerned (or assigned to a reference price group in case of no additional benefit). Therefore, the health care reform is a first step to decision making based on "value for money". The process of price setting based on early benefit evaluation has an impact on the German as well as the European pharmaceutical markets. Therefore, these structural changes in Germany are of importance for pricing decisions in many European countries both from a political point of view and for strategic planning for pharmaceutical manufacturers, which may have an effect on insured patients' access to pharmaceuticals. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  17. Online measurement for geometrical parameters of wheel set based on structure light and CUDA parallel processing

    Science.gov (United States)

    Wu, Kaihua; Shao, Zhencheng; Chen, Nian; Wang, Wenjie

    2018-01-01

    The wearing degree of the wheel set tread is one of the main factors that influence the safety and stability of running train. Geometrical parameters mainly include flange thickness and flange height. Line structure laser light was projected on the wheel tread surface. The geometrical parameters can be deduced from the profile image. An online image acquisition system was designed based on asynchronous reset of CCD and CUDA parallel processing unit. The image acquisition was fulfilled by hardware interrupt mode. A high efficiency parallel segmentation algorithm based on CUDA was proposed. The algorithm firstly divides the image into smaller squares, and extracts the squares of the target by fusion of k_means and STING clustering image segmentation algorithm. Segmentation time is less than 0.97ms. A considerable acceleration ratio compared with the CPU serial calculation was obtained, which greatly improved the real-time image processing capacity. When wheel set was running in a limited speed, the system placed alone railway line can measure the geometrical parameters automatically. The maximum measuring speed is 120km/h.

  18. TACT: A Set of MSC/PATRAN- and MSC/NASTRAN- based Modal Correlation Tools

    Science.gov (United States)

    Marlowe, Jill M.; Dixon, Genevieve D.

    1998-01-01

    This paper describes the functionality and demonstrates the utility of the Test Analysis Correlation Tools (TACT), a suite of MSC/PATRAN Command Language (PCL) tools which automate the process of correlating finite element models to modal survey test data. The initial release of TACT provides a basic yet complete set of tools for performing correlation totally inside the PATRAN/NASTRAN environment. Features include a step-by-step menu structure, pre-test accelerometer set evaluation and selection, analysis and test result export/import in Universal File Format, calculation of frequency percent difference and cross-orthogonality correlation results using NASTRAN, creation and manipulation of mode pairs, and five different ways of viewing synchronized animations of analysis and test modal results. For the PATRAN-based analyst, TACT eliminates the repetitive, time-consuming and error-prone steps associated with transferring finite element data to a third-party modal correlation package, which allows the analyst to spend more time on the more challenging task of model updating. The usefulness of this software is presented using a case history, the correlation for a NASA Langley Research Center (LaRC) low aspect ratio research wind tunnel model. To demonstrate the improvements that TACT offers the MSC/PATRAN- and MSC/DIASTRAN- based structural analysis community, a comparison of the modal correlation process using TACT within PATRAN versus external third-party modal correlation packages is presented.

  19. Random Finite Set Based Bayesian Filtering with OpenCL in a Heterogeneous Platform

    Directory of Open Access Journals (Sweden)

    Biao Hu

    2017-04-01

    Full Text Available While most filtering approaches based on random finite sets have focused on improving performance, in this paper, we argue that computation times are very important in order to enable real-time applications such as pedestrian detection. Towards this goal, this paper investigates the use of OpenCL to accelerate the computation of random finite set-based Bayesian filtering in a heterogeneous system. In detail, we developed an efficient and fully-functional pedestrian-tracking system implementation, which can run under real-time constraints, meanwhile offering decent tracking accuracy. An extensive evaluation analysis was carried out to ensure the fulfillment of sufficient accuracy requirements. This was followed by extensive profiling analysis to spot the potential bottlenecks in terms of execution performance, which were then targeted to come up with an OpenCL accelerated application. Video-throughput improvements from roughly 15 fps to 100 fps (6× were observed on average while processing typical MOT benchmark videos. Moreover, the worst-case frame processing yielded an 18× advantage from nearly 2 fps to 36 fps, thereby comfortably meeting the real-time constraints. Our implementation is released as open-source code.

  20. Prediction of protein interaction hot spots using rough set-based multiple criteria linear programming.

    Science.gov (United States)

    Chen, Ruoying; Zhang, Zhiwang; Wu, Di; Zhang, Peng; Zhang, Xinyang; Wang, Yong; Shi, Yong

    2011-01-21

    Protein-protein interactions are fundamentally important in many biological processes and it is in pressing need to understand the principles of protein-protein interactions. Mutagenesis studies have found that only a small fraction of surface residues, known as hot spots, are responsible for the physical binding in protein complexes. However, revealing hot spots by mutagenesis experiments are usually time consuming and expensive. In order to complement the experimental efforts, we propose a new computational approach in this paper to predict hot spots. Our method, Rough Set-based Multiple Criteria Linear Programming (RS-MCLP), integrates rough sets theory and multiple criteria linear programming to choose dominant features and computationally predict hot spots. Our approach is benchmarked by a dataset of 904 alanine-mutated residues and the results show that our RS-MCLP method performs better than other methods, e.g., MCLP, Decision Tree, Bayes Net, and the existing HotSprint database. In addition, we reveal several biological insights based on our analysis. We find that four features (the change of accessible surface area, percentage of the change of accessible surface area, size of a residue, and atomic contacts) are critical in predicting hot spots. Furthermore, we find that three residues (Tyr, Trp, and Phe) are abundant in hot spots through analyzing the distribution of amino acids. Copyright © 2010 Elsevier Ltd. All rights reserved.

  1. A digital phantom of the axilla based on the Visible Human Project data set

    Science.gov (United States)

    McCallum, S. J.; Welch, A. E.; Baker, L.

    2001-08-01

    In this paper, we describe the development of a new digital phantom designed for Monte Carlo simulations of breast cancer and particularly positron emission tomography (PET) imaging of the axillary lymph nodes. The phantom was based on data from the Visible Human Project female data set. The phantom covers the head-to-diaphragm regions; 17 major tissue types were segmented and 66 individual lymph nodes were identified. The authors have used the phantom in Monte Carlo simulations to model a reduced field-of-view PET imager based on two flat plate arrays placed on either side of the shoulder. Images used a simple single angle set of projections. The authors have conducted two preliminary studies: one modeling a single-frame PET acquisition 60 min after FDG injection and the other modeling a dynamic PET acquisition simulating four time frames after FDG injection. The dynamic results were processed into parametric images using the Patlak method and show the advantage to be gained by including the temporal information for legion detection. The authors' preliminary results indicate that the performance of such an imager forming projection images is not sufficient for axillary node PET imaging.

  2. LEARNING MODEL OF SCHOOL-BASED ANTI BULLYING INTERVENTION IN EAP (ENGLISH FOR ACADEMIC PURPOSES SETTINGS

    Directory of Open Access Journals (Sweden)

    Ririn Ambarini

    2017-12-01

    Full Text Available Bilingual learning can be integrated in any subjects in school. One of the subject is Guidance and Couseling subject that provides opportunities for students to develop their social skills and communication. Today, the phenomenon of bullying often occurs in every aspect of life, and one of them is in educational institutions such as schools. School should be a place to establish a positive attitude and character, but the fact the school becomes the scene of bullying practices. The research question is how the bilingual learning of school-based anti bullying intervension integrated with Guidance and Counseling materials by using English for Academic Purposes settings is. This qualitative study used descriptive qualitative method that aims to understand the process and the outcome of bilingual learning process from the viewpoint or perspective of the participants. This research takes the view that since people are instruments, the objects of the research together with the researcher herself, their active involvement in the process is the key to any sustainable efforts. This research is aslo supposed to identify the students‘ understanding of the school-based anti bullying materials that are implemented in EAP settings. The impact of thus program implementation is certainly expected as the strategies to minimize the impacts that will occur in bullying behavior by the integration of anti-bullying bilingual learning model through guidance and counseling materials.

  3. Multi-link faults localization and restoration based on fuzzy fault set for dynamic optical networks.

    Science.gov (United States)

    Zhao, Yongli; Li, Xin; Li, Huadong; Wang, Xinbo; Zhang, Jie; Huang, Shanguo

    2013-01-28

    Based on a distributed method of bit-error-rate (BER) monitoring, a novel multi-link faults restoration algorithm is proposed for dynamic optical networks. The concept of fuzzy fault set (FFS) is first introduced for multi-link faults localization, which includes all possible optical equipment or fiber links with a membership describing the possibility of faults. Such a set is characterized by a membership function which assigns each object a grade of membership ranging from zero to one. OSPF protocol extension is designed for the BER information flooding in the network. The BER information can be correlated to link faults through FFS. Based on the BER information and FFS, multi-link faults localization mechanism and restoration algorithm are implemented and experimentally demonstrated on a GMPLS enabled optical network testbed with 40 wavelengths in each fiber link. Experimental results show that the novel localization mechanism has better performance compared with the extended limited perimeter vector matching (LVM) protocol and the restoration algorithm can improve the restoration success rate under multi-link faults scenario.

  4. Analysis of Roadway Traffic Accidents Based on Rough Sets and Bayesian Networks

    Directory of Open Access Journals (Sweden)

    Xiaoxia Xiong

    2018-02-01

    Full Text Available The paper integrates Rough Sets (RS and Bayesian Networks (BN for roadway traffic accident analysis. RS reduction of attributes is first employed to generate the key set of attributes affecting accident outcomes, which are then fed into a BN structure as nodes for BN construction and accident outcome classification. Such RS-based BN framework combines the advantages of RS in knowledge reduction capability and BN in describing interrelationships among different attributes. The framework is demonstrated using the 100-car naturalistic driving data from Virginia Tech Transportation Institute to predict accident type. Comparative evaluation with the baseline BNs shows the RS-based BNs generally have a higher prediction accuracy and lower network complexity while with comparable prediction coverage and receiver operating characteristic curve area, proving that the proposed RS-based BN overall outperforms the BNs with/without traditional feature selection approaches. The proposed RS-based BN indicates the most significant attributes that affect accident types include pre-crash manoeuvre, driver’s attention from forward roadway to centre mirror, number of secondary tasks undertaken, traffic density, and relation to junction, most of which feature pre-crash driver states and driver behaviours that have not been extensively researched in literature, and could give further insight into the nature of traffic accidents.

  5. Organizational factors and depression management in community-based primary care settings

    Directory of Open Access Journals (Sweden)

    Kilbourne Amy M

    2009-12-01

    Full Text Available Abstract Background Evidence-based quality improvement models for depression have not been fully implemented in routine primary care settings. To date, few studies have examined the organizational factors associated with depression management in real-world primary care practice. To successfully implement quality improvement models for depression, there must be a better understanding of the relevant organizational structure and processes of the primary care setting. The objective of this study is to describe these organizational features of routine primary care practice, and the organization of depression care, using survey questions derived from an evidence-based framework. Methods We used this framework to implement a survey of 27 practices comprised of 49 unique offices within a large primary care practice network in western Pennsylvania. Survey questions addressed practice structure (e.g., human resources, leadership, information technology (IT infrastructure, and external incentives and process features (e.g., staff performance, degree of integrated depression care, and IT performance. Results The results of our survey demonstrated substantial variation across the practice network of organizational factors pertinent to implementation of evidence-based depression management. Notably, quality improvement capability and IT infrastructure were widespread, but specific application to depression care differed between practices, as did coordination and communication tasks surrounding depression treatment. Conclusions The primary care practices in the network that we surveyed are at differing stages in their organization and implementation of evidence-based depression management. Practical surveys such as this may serve to better direct implementation of these quality improvement strategies for depression by improving understanding of the organizational barriers and facilitators that exist within both practices and practice networks. In addition

  6. Increased Skin Dose With the Use of a Custom Mattress for Prone Breast Radiotherapy

    International Nuclear Information System (INIS)

    Becker, Stewart J.; Patel, Rakesh R.; Mackie, Thomas R.

    2007-01-01

    The purpose of this study was to measure and compare the loss of buildup to the skin of the breast in the prone position due to 2 different positioning systems during tangential external beam irradiation. Two experiments were performed; one with a standard nylon-covered foam support and another with a novel helium-filled Mylar bag support. The choice of helium-filled Mylar was to reduce the contamination to as low as possible. The experiments were designed to allow a surface dose measurement and a depth dose profile with the pads placed in the path of the beam in front of the detector. All measurements were taken using a Capintec PS-033 thin-window parallel plate ionization chamber. The standard nylon-covered foam pad caused the surface dose to rise as it got closer to the skin. When the pad was directly touching the surface, the surface dose increased by 300% compared to the result when no pad was present. This loss of buildup to the surface was similar to that of a custom bolus material. The opposite effect occurred with the use of the helium-filled Mylar bag, namely the surface dose gradually decreased as the pad got closer to the phantom. When the Mylar pad was directly touching the phantom, the surface dose was decreased by 7% compared to when no pad was present. The use of a foam pad could potentially result in a significant higher dose to the skin, resulting in an enhanced acute skin reaction. Therefore, special care should be taken in this clinical scenario and further investigation of an air- or helium-based mylar support pad should be investigated in the context of definitive breast radiation treatment

  7. Decision Tree Repository and Rule Set Based Mingjiang River Estuarine Wetlands Classifaction

    Science.gov (United States)

    Zhang, W.; Li, X.; Xiao, W.

    2018-05-01

    random sampling method is used to conduct the field investigation, achieve an overall accuracy of 90.31 %, and the Kappa coefficient is 0.88. The classification method based on decision tree threshold values and rule set developed by the repository, outperforms the results obtained from the traditional methodology. Our decision tree repository and rule set based object-oriented classification technique was an effective method for producing comparable and consistency wetlands data set.

  8. Fuzzy Logic Based Set-Point Weighting Controller Tuning for an Internal Model Control Based PID Controller

    Directory of Open Access Journals (Sweden)

    Maruthai Suresh

    2009-10-01

    Full Text Available Controller tuning is the process of adjusting the parameters of the selected controller to achieve optimum response for the controlled process. For many of the control problems, a satisfactory performance is obtained by using PID controllers. One of the main problems with mathematical models of physical systems is that the parameters used in the models cannot be determined with absolute accuracy. The values of the parameters may change with time or various effects. In these cases, conventional controller tuning methods suffer when trying a lot to produce optimum response. In order to overcome these difficulties a fuzzy logic based Set- Point weighting controller tuning method is proposed. The effectiveness of the proposed scheme is analyzed through computer simulation using SIMULINK software and the results are presented. The fuzzy logic based simulation results are compared with Cohen-Coon (CC, Ziegler- Nichols (ZN, Ziegler – Nichols with Set- Point weighting (ZN-SPW, Internal Model Control (IMC and Internal model based PID controller responses (IMC-PID. The effects of process modeling errors and the importance of controller tuning have been brought out using the proposed control scheme.

  9. Setting up a hydrological model based on global data for the Ayeyarwady basin in Myanmar

    Science.gov (United States)

    ten Velden, Corine; Sloff, Kees; Nauta, Tjitte

    2017-04-01

    The use of global datasets in local hydrological modelling can be of great value. It opens up the possibility to include data for areas where local data is not or only sparsely available. In hydrological modelling the existence of both static physical data such as elevation and land use, and dynamic meteorological data such as precipitation and temperature, is essential for setting up a hydrological model, but often such data is difficult to obtain at the local level. For the Ayeyarwady catchment in Myanmar a distributed hydrological model (Wflow: https://github.com/openstreams/wflow) was set up with only global datasets, as part of a water resources study. Myanmar is an emerging economy, which has only recently become more receptive to foreign influences. It has a very limited hydrometeorological measurement network, with large spatial and temporal gaps, and data that are of uncertain quality and difficult to obtain. The hydrological model was thus set up based on resampled versions of the SRTM digital elevation model, the GlobCover land cover dataset and the HWSD soil dataset. Three global meteorological datasets were assessed and compared for use in the hydrological model: TRMM, WFDEI and MSWEP. The meteorological datasets were assessed based on their conformity with several precipitation station measurements, and the overall model performance was assessed by calculating the NSE and RVE based on discharge measurements of several gauging stations. The model was run for the period 1979-2012 on a daily time step, and the results show an acceptable applicability of the used global datasets in the hydrological model. The WFDEI forcing dataset gave the best results, with a NSE of 0.55 at the outlet of the model and a RVE of 8.5%, calculated over the calibration period 2006-2012. As a general trend the modelled discharge at the upstream stations tends to be underestimated, and at the downstream stations slightly overestimated. The quality of the discharge measurements

  10. Heat conduction through geological mattresses from cells storing mean activity and long life nuclear wastes

    International Nuclear Information System (INIS)

    Lajoie, D.; Raffourt, C.; Wendling, J.

    2010-01-01

    Document available in extended abstract form only. ANDRA ordered in 2008 a campaign of numerical simulations to assess the efficiency of the ventilation system designed for cells storing mean activity and long life nuclear wastes. Numerical models were performed by ACRIIN as research engineering office. The main objectives were to assess the risks of atmospheric explosions due to high rate of hydrogen and to determine the efficiency of the system to evacuate released heat from storage packages. Further calculations have been carried out to evaluate temperature gradients in the surrounding geological medium. Three-dimensional numerical models of a reference cell were built to simulate the air flow injected at the cell entrance and retrieved and the other extremity. The reference case is based on a cell full of storage packages, with rows and columns of packages methodically ordered. Analytic and numerical calculations have been performed introducing progressively each complex physical phenomenon in order to dissociate origins of transport of released mass or heat. Three kinds of flows have been physically distinguished: 1) Ventilation in a cell with storage package that are thermally inert, i.e. no heat release, but with hydrogen release. 2) Flow in a cell with storage packages that emit heat and warm the injected air, supposing that no heat were lost towards the surrounding concrete walls of the cell. 3) Air Flow warmed by the storage packages with heat losses towards concrete walls and geological medium. Simulations with absence of thermal effects allowed the knowledge of main topics of the ventilation air flows that may be synthesized as follows: - Flows infiltrate clearances between piles and rows of storage packages. Such apertures are a few centimetres wide. The flow is disorganised between the first rows, with distribution in both transversal and longitudinal directions. After a few tens of rows, the flow reaches its hydraulic equilibrium, with a nearly pure

  11. Renormalization of total sets of states into generalized bases with a resolution of the identity

    International Nuclear Information System (INIS)

    Vourdas, A

    2017-01-01

    A total set of states for which we have no resolution of the identity (a ‘pre-basis’), is considered in a finite dimensional Hilbert space. A dressing formalism renormalizes them into density matrices which resolve the identity, and makes them a ‘generalized basis’, which is practically useful. The dresssing mechanism is inspired by Shapley’s methodology in cooperative game theory, and it uses Möbius transforms. There is non-independence and redundancy in these generalized bases, which is quantified with a Shannon type of entropy. Due to this redundancy, calculations based on generalized bases are sensitive to physical changes and robust in the presence of noise. For example, the representation of an arbitrary vector in such generalized bases, is robust when noise is inserted in the coefficients. Also in a physical system with a ground state which changes abruptly at some value of the coupling constant, the proposed methodology detects such changes, even when noise is added to the parameters in the Hamiltonian of the system. (paper)

  12. Dominance-based ranking functions for interval-valued intuitionistic fuzzy sets.

    Science.gov (United States)

    Chen, Liang-Hsuan; Tu, Chien-Cheng

    2014-08-01

    The ranking of interval-valued intuitionistic fuzzy sets (IvIFSs) is difficult since they include the interval values of membership and nonmembership. This paper proposes ranking functions for IvIFSs based on the dominance concept. The proposed ranking functions consider the degree to which an IvIFS dominates and is not dominated by other IvIFSs. Based on the bivariate framework and the dominance concept, the functions incorporate not only the boundary values of membership and nonmembership, but also the relative relations among IvIFSs in comparisons. The dominance-based ranking functions include bipolar evaluations with a parameter that allows the decision-maker to reflect his actual attitude in allocating the various kinds of dominance. The relationship for two IvIFSs that satisfy the dual couple is defined based on four proposed ranking functions. Importantly, the proposed ranking functions can achieve a full ranking for all IvIFSs. Two examples are used to demonstrate the applicability and distinctiveness of the proposed ranking functions.

  13. Inertial Sensor-Based Robust Gait Analysis in Non-Hospital Settings for Neurological Disorders

    Directory of Open Access Journals (Sweden)

    Can Tunca

    2017-04-01

    Full Text Available The gold standards for gait analysis are instrumented walkways and marker-based motion capture systems, which require costly infrastructure and are only available in hospitals and specialized gait clinics. Even though the completeness and the accuracy of these systems are unquestionable, a mobile and pervasive gait analysis alternative suitable for non-hospital settings is a clinical necessity. Using inertial sensors for gait analysis has been well explored in the literature with promising results. However, the majority of the existing work does not consider realistic conditions where data collection and sensor placement imperfections are imminent. Moreover, some of the underlying assumptions of the existing work are not compatible with pathological gait, decreasing the accuracy. To overcome these challenges, we propose a foot-mounted inertial sensor-based gait analysis system that extends the well-established zero-velocity update and Kalman filtering methodology. Our system copes with various cases of data collection difficulties and relaxes some of the assumptions invalid for pathological gait (e.g., the assumption of observing a heel strike during a gait cycle. The system is able to extract a rich set of standard gait metrics, including stride length, cadence, cycle time, stance time, swing time, stance ratio, speed, maximum/minimum clearance and turning rate. We validated the spatio-temporal accuracy of the proposed system by comparing the stride length and swing time output with an IR depth-camera-based reference system on a dataset comprised of 22 subjects. Furthermore, to highlight the clinical applicability of the system, we present a clinical discussion of the extracted metrics on a disjoint dataset of 17 subjects with various neurological conditions.

  14. Evaluating Fast Maximum Likelihood-Based Phylogenetic Programs Using Empirical Phylogenomic Data Sets

    Science.gov (United States)

    Zhou, Xiaofan; Shen, Xing-Xing; Hittinger, Chris Todd

    2018-01-01

    Abstract The sizes of the data matrices assembled to resolve branches of the tree of life have increased dramatically, motivating the development of programs for fast, yet accurate, inference. For example, several different fast programs have been developed in the very popular maximum likelihood framework, including RAxML/ExaML, PhyML, IQ-TREE, and FastTree. Although these programs are widely used, a systematic evaluation and comparison of their performance using empirical genome-scale data matrices has so far been lacking. To address this question, we evaluated these four programs on 19 empirical phylogenomic data sets with hundreds to thousands of genes and up to 200 taxa with respect to likelihood maximization, tree topology, and computational speed. For single-gene tree inference, we found that the more exhaustive and slower strategies (ten searches per alignment) outperformed faster strategies (one tree search per alignment) using RAxML, PhyML, or IQ-TREE. Interestingly, single-gene trees inferred by the three programs yielded comparable coalescent-based species tree estimations. For concatenation-based species tree inference, IQ-TREE consistently achieved the best-observed likelihoods for all data sets, and RAxML/ExaML was a close second. In contrast, PhyML often failed to complete concatenation-based analyses, whereas FastTree was the fastest but generated lower likelihood values and more dissimilar tree topologies in both types of analyses. Finally, data matrix properties, such as the number of taxa and the strength of phylogenetic signal, sometimes substantially influenced the programs’ relative performance. Our results provide real-world gene and species tree phylogenetic inference benchmarks to inform the design and execution of large-scale phylogenomic data analyses. PMID:29177474

  15. Assessment of the Swedish EQ-5D experience-based value sets in a total hip replacement population.

    Science.gov (United States)

    Nemes, Szilárd; Burström, Kristina; Zethraeus, Niklas; Eneqvist, Ted; Garellick, Göran; Rolfson, Ola

    2015-12-01

    All patients undergoing elective total hip replacement (THR) in Sweden are asked to complete a survey, including the EQ-5D. Thus far, EQ-5D values have been presented using the UK TTO value set based on hypothetical values. Shift to the use of the recently introduced Swedish experience-based value set, derived from a representative Swedish population, is an appealing alternative. To investigate how accurate the Swedish experience-based VAS value set predicts observed EQ VAS values and to compare correlations between Swedish and UK value sets including two provisional value sets derived from the THR population. Pre- and one-year postoperative data from 56,062 THR patients from the Swedish Hip Arthroplasty Register were used. Agreement between the observed and the predicted EQ VAS values was assessed with correlation. Based on pre- and postoperative data, we constructed two provisional VAS value sets. Correlations between observed and calculated values using the Swedish VAS value set were moderate (r = 0.46) in preoperative data and high (r = 0.72) in postoperative data. Correlations between UK and register-based value sets were constantly lower compared to Swedish value sets. Register-based values and Swedish values were highly correlated. The Swedish value sets are more accurate in terms of representation of the Swedish THR patients than the currently used UK TTO value set. We find it feasible to use the experience-based Swedish value sets for further presentation of EQ-5D values in the Swedish THR population.

  16. The influence of negative training set size on machine learning-based virtual screening.

    Science.gov (United States)

    Kurczab, Rafał; Smusz, Sabina; Bojarski, Andrzej J

    2014-01-01

    The paper presents a thorough analysis of the influence of the number of negative training examples on the performance of machine learning methods. The impact of this rather neglected aspect of machine learning methods application was examined for sets containing a fixed number of positive and a varying number of negative examples randomly selected from the ZINC database. An increase in the ratio of positive to negative training instances was found to greatly influence most of the investigated evaluating parameters of ML methods in simulated virtual screening experiments. In a majority of cases, substantial increases in precision and MCC were observed in conjunction with some decreases in hit recall. The analysis of dynamics of those variations let us recommend an optimal composition of training data. The study was performed on several protein targets, 5 machine learning algorithms (SMO, Naïve Bayes, Ibk, J48 and Random Forest) and 2 types of molecular fingerprints (MACCS and CDK FP). The most effective classification was provided by the combination of CDK FP with SMO or Random Forest algorithms. The Naïve Bayes models appeared to be hardly sensitive to changes in the number of negative instances in the training set. In conclusion, the ratio of positive to negative training instances should be taken into account during the preparation of machine learning experiments, as it might significantly influence the performance of particular classifier. What is more, the optimization of negative training set size can be applied as a boosting-like approach in machine learning-based virtual screening.

  17. Community-based interventions to optimize early childhood development in low resource settings.

    Science.gov (United States)

    Maulik, P K; Darmstadt, G L

    2009-08-01

    Interventions targeting the early childhood period (0 to 3 years) help to improve neuro-cognitive functioning throughout life. Some of the more low cost, low resource-intensive community practices for this age-group are play, reading, music and tactile stimulation. This research was conducted to summarize the evidence regarding the effectiveness of such strategies on child development, with particular focus on techniques that may be transferable to developing countries and to children at risk of developing secondary impairments. PubMed, PsycInfo, Embase, ERIC, CINAHL and Cochrane were searched for studies involving the above strategies for early intervention. Reference lists of these studies were scanned and other studies were incorporated based on snow-balling. Overall, 76 articles corresponding to 53 studies, 24 of which were randomized controlled trials, were identified. Sixteen of those studies were from low- and middle-income countries. Play and reading were the two commonest interventions and showed positive impact on intellectual development of the child. Music was evaluated primarily in intensive care settings. Kangaroo Mother Care, and to a lesser extent massage, also showed beneficial effects. Improvement in parent-child interaction was common to all the interventions. Play and reading were effective interventions for early childhood interventions in low- and middle-income countries. More research is needed to judge the effectiveness of music. Kangaroo Mother Care is effective for low birth weight babies in resource poor settings, but further research is needed in community settings. Massage is useful, but needs more rigorous research prior to being advocated for community-level interventions.

  18. Challenges and opportunities: using a science-based video game in secondary school settings

    Science.gov (United States)

    Muehrer, Rachel; Jenson, Jennifer; Friedberg, Jeremy; Husain, Nicole

    2012-12-01

    Simulations and games are not new artifacts to the study of science in secondary school settings (Hug, Kriajcik and Marx 2005), however teachers remain skeptical as to their value, use and appropriateness (Rice 2006). The difficulty is not only the design and development of effective play environments that produce measurable changes in knowledge and/or understanding, but also in their on-the-ground use (Jaipal and Figg 2010). This paper reports on the use of a science-focused video game in five very different secondary school settings in Ontario, Canada. A mixed-methods approach was used in the study, and included data gathered on general gameplay habits and technology use, as well as informal interviews with teachers and students who played the game. In total, 161 participants played a series of games focused on the "life of a plant", and were given both a pre and post quiz to determine if the game helped them retain and/or change what they knew about scientific processes like plant cell anatomy and photosynthesis. Participants showed statistically significant improvement on quizzes that were taken after playing the game for approximately one-hour sessions, despite difficulties in some cases both accessing and playing the game for the full hour. Our findings also reveal the ongoing challenges in making use of technology in a variety of school sessions, even when using a browser-based game, that demanded very little other than a reliable internet connection.

  19. Enhanced Decision Support Systems in Intensive Care Unit Based on Intuitionistic Fuzzy Sets

    Directory of Open Access Journals (Sweden)

    Hanen Jemal

    2017-01-01

    Full Text Available In areas of medical diagnosis and decision-making, several uncertainty and ambiguity shrouded situations are most often imposed. In this regard, one may well assume that intuitionistic fuzzy sets (IFS should stand as a potent technique useful for demystifying associated with the real healthcare decision-making situations. To this end, we are developing a prototype model helpful for detecting the patients risk degree in Intensive Care Unit (ICU. Based on the intuitionistic fuzzy sets, dubbed Medical Intuitionistic Fuzzy Expert Decision Support System (MIFEDSS, the shown work has its origins in the Modified Early Warning Score (MEWS standard. It is worth noting that the proposed prototype effectiveness validation is associated through a real case study test at the Polyclinic ESSALEMA cited in Sfax, Tunisia. This paper does actually provide some practical initial results concerning the system as carried out in real life situations. Indeed, the proposed system turns out to prove that the MIFEDSS does actually display an imposing capability for an established handily ICU related uncertainty issues. The performance of the prototypes is compared with the MEWS standard which exposed that the IFS application appears to perform highly better in deferring accuracy than the expert MEWS score with higher degrees of sensitivity and specificity being recorded.

  20. Incremental Knowledge Acquisition for WSD: A Rough Set and IL based Method

    Directory of Open Access Journals (Sweden)

    Xu Huang

    2015-07-01

    Full Text Available Word sense disambiguation (WSD is one of tricky tasks in natural language processing (NLP as it needs to take into full account all the complexities of language. Because WSD involves in discovering semantic structures from unstructured text, automatic knowledge acquisition of word sense is profoundly difficult. To acquire knowledge about Chinese multi-sense verbs, we introduce an incremental machine learning method which combines rough set method and instance based learning. First, context of a multi-sense verb is extracted into a table; its sense is annotated by a skilled human and stored in the same table. By this way, decision table is formed, and then rules can be extracted within the framework of attributive value reduction of rough set. Instances not entailed by any rule are treated as outliers. When new instances are added to decision table, only the new added and outliers need to be learned further, thus incremental leaning is fulfilled. Experiments show the scale of decision table can be reduced dramatically by this method without performance decline.

  1. Validity and predictive ability of the juvenile arthritis disease activity score based on CRP versus ESR in a Nordic population-based setting

    DEFF Research Database (Denmark)

    Nordal, E B; Zak, M; Aalto, K

    2012-01-01

    To compare the juvenile arthritis disease activity score (JADAS) based on C reactive protein (CRP) (JADAS-CRP) with JADAS based on erythrocyte sedimentation rate (ESR) (JADAS-ESR) and to validate JADAS in a population-based setting.......To compare the juvenile arthritis disease activity score (JADAS) based on C reactive protein (CRP) (JADAS-CRP) with JADAS based on erythrocyte sedimentation rate (ESR) (JADAS-ESR) and to validate JADAS in a population-based setting....

  2. Quasi-experimental designs in practice-based research settings: design and implementation considerations.

    Science.gov (United States)

    Handley, Margaret A; Schillinger, Dean; Shiboski, Stephen

    2011-01-01

    Although randomized controlled trials are often a gold standard for determining intervention effects, in the area of practice-based research (PBR), there are many situations in which individual randomization is not possible. Alternative approaches to evaluating interventions have received increased attention, particularly those that can retain elements of randomization such that they can be considered "controlled" trials. Methodological design elements and practical implementation considerations for two quasi-experimental design approaches that have considerable promise in PBR settings--the stepped-wedge design, and a variant of this design, a wait-list cross-over design, are presented along with a case study from a recent PBR intervention for patients with diabetes. PBR-relevant design features include: creation of a cohort over time that collects control data but allows all participants (clusters or patients) to receive the intervention; staggered introduction of clusters; multiple data collection points; and one-way cross-over into the intervention arm. Practical considerations include: randomization versus stratification, training run in phases; and extended time period for overall study completion. Several design features of practice based research studies can be adapted to local circumstances yet retain elements to improve methodological rigor. Studies that utilize these methods, such as the stepped-wedge design and the wait-list cross-over design, can increase the evidence base for controlled studies conducted within the complex environment of PBR.

  3. A Core Set Based Large Vector-Angular Region and Margin Approach for Novelty Detection

    Directory of Open Access Journals (Sweden)

    Jiusheng Chen

    2016-01-01

    Full Text Available A large vector-angular region and margin (LARM approach is presented for novelty detection based on imbalanced data. The key idea is to construct the largest vector-angular region in the feature space to separate normal training patterns; meanwhile, maximize the vector-angular margin between the surface of this optimal vector-angular region and abnormal training patterns. In order to improve the generalization performance of LARM, the vector-angular distribution is optimized by maximizing the vector-angular mean and minimizing the vector-angular variance, which separates the normal and abnormal examples well. However, the inherent computation of quadratic programming (QP solver takes O(n3 training time and at least O(n2 space, which might be computational prohibitive for large scale problems. By (1+ε  and  (1-ε-approximation algorithm, the core set based LARM algorithm is proposed for fast training LARM problem. Experimental results based on imbalanced datasets have validated the favorable efficiency of the proposed approach in novelty detection.

  4. Fusion set selection with surrogate metric in multi-atlas based image segmentation

    International Nuclear Information System (INIS)

    Zhao, Tingting; Ruan, Dan

    2016-01-01

    Multi-atlas based image segmentation sees unprecedented opportunities but also demanding challenges in the big data era. Relevant atlas selection before label fusion plays a crucial role in reducing potential performance loss from heterogeneous data quality and high computation cost from extensive data. This paper starts with investigating the image similarity metric (termed ‘surrogate’), an alternative to the inaccessible geometric agreement metric (termed ‘oracle’) in atlas relevance assessment, and probes into the problem of how to select the ‘most-relevant’ atlases and how many such atlases to incorporate. We propose an inference model to relate the surrogates and the oracle geometric agreement metrics. Based on this model, we quantify the behavior of the surrogates in mimicking oracle metrics for atlas relevance ordering. Finally, analytical insights on the choice of fusion set size are presented from a probabilistic perspective, with the integrated goal of including the most relevant atlases and excluding the irrelevant ones. Empirical evidence and performance assessment are provided based on prostate and corpus callosum segmentation. (paper)

  5. Evaluation about the performance of E-government based on interval-valued intuitionistic fuzzy set.

    Science.gov (United States)

    Zhang, Shuai; Yu, Dejian; Wang, Yan; Zhang, Wenyu

    2014-01-01

    The evaluation is an important approach to promote the development of the E-Government. Since the rapid development of E-Government in the world, the E-Government performance evaluation has become a hot issue in the academia. In this paper, we develop a new evaluation method for the development of the E-Government based on the interval-valued intuitionistic fuzzy set which is a powerful technique in expressing the uncertainty of the real situation. First, we extend the geometric Heronian mean (GHM) operator to interval-valued intuitionistic fuzzy environment and proposed the interval-valued intuitionistic fuzzy GHM (IIFGHM) operator. Then, we investigate the relationships between the IIFGHM operator and some existing ones, such as generalized interval-valued intuitionistic fuzzy HM (GIIFHM) and interval-valued intuitionistic fuzzy weighted Bonferoni mean operator. Furthermore, we validate the effectiveness of the proposed method using a real case about the E-Government evaluation in Hangzhou City, China.

  6. Reliability Quantification Method for Safety Critical Software Based on a Finite Test Set

    International Nuclear Information System (INIS)

    Shin, Sung Min; Kim, Hee Eun; Kang, Hyun Gook; Lee, Seung Jun

    2014-01-01

    Software inside of digitalized system have very important role because it may cause irreversible consequence and affect the whole system as common cause failure. However, test-based reliability quantification method for some safety critical software has limitations caused by difficulties in developing input sets as a form of trajectory which is series of successive values of variables. To address these limitations, this study proposed another method which conduct the test using combination of single values of variables. To substitute the trajectory form of input using combination of variables, the possible range of each variable should be identified. For this purpose, assigned range of each variable, logical relations between variables, plant dynamics under certain situation, and characteristics of obtaining information of digital device are considered. A feasibility of the proposed method was confirmed through an application to the Reactor Protection System (RPS) software trip logic

  7. Application of Microarray-Based Comparative Genomic Hybridization in Prenatal and Postnatal Settings: Three Case Reports

    Directory of Open Access Journals (Sweden)

    Jing Liu

    2011-01-01

    Full Text Available Microarray-based comparative genomic hybridization (array CGH is a newly emerged molecular cytogenetic technique for rapid evaluation of the entire genome with sub-megabase resolution. It allows for the comprehensive investigation of thousands and millions of genomic loci at once and therefore enables the efficient detection of DNA copy number variations (a.k.a, cryptic genomic imbalances. The development and the clinical application of array CGH have revolutionized the diagnostic process in patients and has provided a clue to many unidentified or unexplained diseases which are suspected to have a genetic cause. In this paper, we present three clinical cases in both prenatal and postnatal settings. Among all, array CGH played a major discovery role to reveal the cryptic and/or complex nature of chromosome arrangements. By identifying the genetic causes responsible for the clinical observation in patients, array CGH has provided accurate diagnosis and appropriate clinical management in a timely and efficient manner.

  8. Index-based groundwater vulnerability mapping models using hydrogeological settings: A critical evaluation

    International Nuclear Information System (INIS)

    Kumar, Prashant; Bansod, Baban K.S.; Debnath, Sanjit K.; Thakur, Praveen Kumar; Ghanshyam, C.

    2015-01-01

    Groundwater vulnerability maps are useful for decision making in land use planning and water resource management. This paper reviews the various groundwater vulnerability assessment models developed across the world. Each model has been evaluated in terms of its pros and cons and the environmental conditions of its application. The paper further discusses the validation techniques used for the generated vulnerability maps by various models. Implicit challenges associated with the development of the groundwater vulnerability assessment models have also been identified with scientific considerations to the parameter relations and their selections. - Highlights: • Various index-based groundwater vulnerability assessment models have been discussed. • A comparative analysis of the models and its applicability in different hydrogeological settings has been discussed. • Research problems of underlying vulnerability assessment models are also reported in this review paper

  9. An Extended TOPSIS Method for the Multiple Attribute Decision Making Problems Based on Interval Neutrosophic Set

    Directory of Open Access Journals (Sweden)

    Pingping Chi

    2013-03-01

    Full Text Available The interval neutrosophic set (INS can be easier to express the incomplete, indeterminate and inconsistent information, and TOPSIS is one of the most commonly used and effective method for multiple attribute decision making, however, in general, it can only process the attribute values with crisp numbers. In this paper, we have extended TOPSIS to INS, and with respect to the multiple attribute decision making problems in which the attribute weights are unknown and the attribute values take the form of INSs, we proposed an expanded TOPSIS method. Firstly, the definition of INS and the operational laws are given, and distance between INSs is defined. Then, the attribute weights are determined based on the Maximizing deviation method and an extended TOPSIS method is developed to rank the alternatives. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.

  10. Pneumatic transport devices based on the ARS equipment set for activation analysis

    International Nuclear Information System (INIS)

    Ivanov, I.V.; Ivanets, V.N.; Rogachev, V.M.; Zakharov, E.A.

    1978-01-01

    The AGIDEL and ARS-28G facilities manufactured on the basis of a set of standardized and aggregated products for activation analysis are described. The AGIDEL is designed for automatic activation analysis of relatively homogeneous samples from oil boreholes. The ARS-28G is designed for transporting the test samples during activation analysis, using a fast-neutron generator. Structurally, the ARS-28 is based on a pneumatic transportation system with two independenhat transport cnnels and a two-channel rotating irradiation unit. The analyzed samples are transported in polyethylene containers, which are moved by compressed air. The facility has been successfully tested and is used in an automated system for multielement activation analysis

  11. Index-based groundwater vulnerability mapping models using hydrogeological settings: A critical evaluation

    Energy Technology Data Exchange (ETDEWEB)

    Kumar, Prashant, E-mail: prashantkumar@csio.res.in [CSIR-Central Scientific Instruments Organisation, Chandigarh 160030 (India); Academy of Scientific and Innovative Research—CSIO, Chandigarh 160030 (India); Bansod, Baban K.S.; Debnath, Sanjit K. [CSIR-Central Scientific Instruments Organisation, Chandigarh 160030 (India); Academy of Scientific and Innovative Research—CSIO, Chandigarh 160030 (India); Thakur, Praveen Kumar [Indian Institute of Remote Sensing (ISRO), Dehradun 248001 (India); Ghanshyam, C. [CSIR-Central Scientific Instruments Organisation, Chandigarh 160030 (India); Academy of Scientific and Innovative Research—CSIO, Chandigarh 160030 (India)

    2015-02-15

    Groundwater vulnerability maps are useful for decision making in land use planning and water resource management. This paper reviews the various groundwater vulnerability assessment models developed across the world. Each model has been evaluated in terms of its pros and cons and the environmental conditions of its application. The paper further discusses the validation techniques used for the generated vulnerability maps by various models. Implicit challenges associated with the development of the groundwater vulnerability assessment models have also been identified with scientific considerations to the parameter relations and their selections. - Highlights: • Various index-based groundwater vulnerability assessment models have been discussed. • A comparative analysis of the models and its applicability in different hydrogeological settings has been discussed. • Research problems of underlying vulnerability assessment models are also reported in this review paper.

  12. Correction of Magnetic Optics and Beam Trajectory Using LOCO Based Algorithm with Expanded Experimental Data Sets

    Energy Technology Data Exchange (ETDEWEB)

    Romanov, A.; Edstrom, D.; Emanov, F. A.; Koop, I. A.; Perevedentsev, E. A.; Rogovsky, Yu. A.; Shwartz, D. B.; Valishev, A.

    2017-03-28

    Precise beam based measurement and correction of magnetic optics is essential for the successful operation of accelerators. The LOCO algorithm is a proven and reliable tool, which in some situations can be improved by using a broader class of experimental data. The standard data sets for LOCO include the closed orbit responses to dipole corrector variation, dispersion, and betatron tunes. This paper discusses the benefits from augmenting the data with four additional classes of experimental data: the beam shape measured with beam profile monitors; responses of closed orbit bumps to focusing field variations; betatron tune responses to focusing field variations; BPM-to-BPM betatron phase advances and beta functions in BPMs from turn-by-turn coordinates of kicked beam. All of the described features were implemented in the Sixdsimulation software that was used to correct the optics of the VEPP-2000 collider, the VEPP-5 injector booster ring, and the FAST linac.

  13. Generating evidence on a risk-based monitoring approach in the academic setting – lessons learned

    Directory of Open Access Journals (Sweden)

    Belinda von Niederhäusern

    2017-02-01

    Full Text Available Abstract Background In spite of efforts to employ risk-based strategies to increase monitoring efficiency in the academic setting, empirical evidence on their effectiveness remains sparse. This mixed-methods study aimed to evaluate the risk-based on-site monitoring approach currently followed at our academic institution. Methods We selected all studies monitored by the Clinical Trial Unit (CTU according to Risk ADApted MONitoring (ADAMON at the University Hospital Basel, Switzerland, between 01.01.2012 and 31.12.2014. We extracted study characteristics and monitoring information from the CTU Enterprise Resource Management system and from monitoring reports of all selected studies. We summarized the data descriptively. Additionally, we conducted semi-structured interviews with the three current CTU monitors. Results During the observation period, a total of 214 monitoring visits were conducted in 43 studies resulting in 2961 documented monitoring findings. Our risk-based approach predominantly identified administrative (46.2% and patient right findings (49.1%. We identified observational study design, high ADAMON risk category, industry sponsorship, the presence of an electronic database, experienced site staff, and inclusion of vulnerable study population to be factors associated with lower numbers of findings. The monitors understand the positive aspects of a risk-based approach but fear missing systematic errors due to the low frequency of visits. Conclusions We show that the factors mostly increasing the risk for on-site monitoring findings are underrepresented in the current risk analysis scheme. Our risk-based on-site approach should further be complemented by centralized data checks, allowing monitors to transform their role towards partners for overall trial quality, and success.

  14. Developing an objective evaluation method to estimate diabetes risk in community-based settings.

    Science.gov (United States)

    Kenya, Sonjia; He, Qing; Fullilove, Robert; Kotler, Donald P

    2011-05-01

    Exercise interventions often aim to affect abdominal obesity and glucose tolerance, two significant risk factors for type 2 diabetes. Because of limited financial and clinical resources in community and university-based environments, intervention effects are often measured with interviews or questionnaires and correlated with weight loss or body fat indicated by body bioimpedence analysis (BIA). However, self-reported assessments are subject to high levels of bias and low levels of reliability. Because obesity and body fat are correlated with diabetes at different levels in various ethnic groups, data reflecting changes in weight or fat do not necessarily indicate changes in diabetes risk. To determine how exercise interventions affect diabetes risk in community and university-based settings, improved evaluation methods are warranted. We compared a noninvasive, objective measurement technique--regional BIA--with whole-body BIA for its ability to assess abdominal obesity and predict glucose tolerance in 39 women. To determine regional BIA's utility in predicting glucose, we tested the association between the regional BIA method and blood glucose levels. Regional BIA estimates of abdominal fat area were significantly correlated (r = 0.554, P < 0.003) with fasting glucose. When waist circumference and family history of diabetes were added to abdominal fat in multiple regression models, the association with glucose increased further (r = 0.701, P < 0.001). Regional BIA estimates of abdominal fat may predict fasting glucose better than whole-body BIA as well as provide an objective assessment of changes in diabetes risk achieved through physical activity interventions in community settings.

  15. Patients' preference for exercise setting and its influence on the health benefits gained from exercise-based cardiac rehabilitation.

    Science.gov (United States)

    Tang, Lars H; Kikkenborg Berg, Selina; Christensen, Jan; Lawaetz, Jannik; Doherty, Patrick; Taylor, Rod S; Langberg, Henning; Zwisler, Ann-Dorthe

    2017-04-01

    To assess patient preference for exercise setting and examine if choice of setting influences the long-term health benefit of exercise-based cardiac rehabilitation. Patients participating in a randomised controlled trial following either heart valve surgery, or radiofrequency ablation for atrial fibrillation were given the choice to perform a 12-week exercise programme in either a supervised centre-based, or a self-management home-based setting. Exercise capacity and physical and mental health outcomes were assessed for up to 24months after hospital discharge. Outcomes between settings were compared using a time×setting interaction using a mixed effects regression model. Across the 158 included patients, an equivalent proportion preferred to undertake exercise rehabilitation in a centre-based setting (55%, 95% CI: 45% to 63%) compared to a home-based setting (45%, 95% CI: 37% to 53%, p=0.233). At baseline, those who preferred a home-based setting reported better physical health (mean difference in physical component score: 5.0, 95% CI 2.3 to 7.4; p=0.001) and higher exercise capacity (mean between group difference 15.9watts, 95% CI 3.7 to 28.1; p=0.011). With the exception of the depression score in the Hospital Anxiety and Depression Score (F(3.65), p=0.004), there was no evidence of a significant difference in outcomes between settings. The preference of patients to participate in home-based and centre-based exercise programmes appears to be equivalent and provides similar health benefits. Whilst these findings support that patients should be given the choice between exercise-settings when initiating cardiac rehabilitation, further confirmatory evidence is needed. Copyright © 2017. Published by Elsevier B.V.

  16. Setting up GHG-based energy efficiency targets in buildings: The Ecolabel

    International Nuclear Information System (INIS)

    José Vinagre Díaz, Juan; Richard Wilby, Mark; Belén Rodríguez González, Ana

    2013-01-01

    The European Union has recently updated the regulations for energy performance of buildings and on the certification of energy-related products. The world is in the process of constructing policy frameworks to underwrite carbon emission reduction targets, best exemplified by the Kyoto Protocol. This requires complex technical and economical concepts to be presented in an understandable, transparent, and justifiable format. A building's energy efficiency was traditionally determined based on its annual consumption relative to some average performance level. Emissions are calculated as a derivative of consumptions and their aggregated values allow verification of the level of fulfillment of the objectives. Here we take a different approach: considering that the greenhouse gas emissions (GHG) objectives must be achieved; hence, we fix the efficiency standard based on emissions objectives, and then derive the corresponding reference values of consumption. Accordingly, we propose a certification scheme for energy efficiency in buildings based on targets of GHG emissions levels. This proposed framework includes both a label, namely the Ecolabel, and a fiche showing a set of indices and complementary information. The Ecolabel is designed to provide a flexible, evolvable, simple to use at the point of application, and transparent framework. - Highlights: • In this paper we consider the interaction between greenhouse gas emission reduction targets and building energy efficiency. • Specifically we propose an ‘‘Ecolabel” for buildings that is a GHG emissions liability index, which forms a labeling process. • The label follows the Kyoto Protocol philosophy and translates national GHG targets to targets for each and every building. • The approach provides both a new form of efficiency rating on which emissions reduction policy can be based

  17. Value-based integrated (renal) care: setting a development agenda for research and implementation strategies.

    Science.gov (United States)

    Valentijn, Pim P; Biermann, Claus; Bruijnzeels, Marc A

    2016-08-02

    Integrated care services are considered a vital strategy for improving the Triple Aim values for people with chronic kidney disease. However, a solid scholarly explanation of how to develop, implement and evaluate such value-based integrated renal care services is limited. The aim of this study was to develop a framework to identify the strategies and outcomes for the implementation of value-based integrated renal care. First, the theoretical foundations of the Rainbow Model of Integrated Care and the Triple Aim were united into one overarching framework through an iterative process of key-informant consultations. Second, a rapid review approach was conducted to identify the published research on integrated renal care, and the Cochrane Library, Medline, Scopus, and Business Source Premier databases were searched for pertinent articles published between 2000 and 2015. Based on the framework, a coding schema was developed to synthesis the included articles. The overarching framework distinguishes the integrated care domains: 1) type of integration, 2) enablers of integration and the interrelated outcome domains, 3) experience of care, 4) population health and 5) costs. The literature synthesis indicated that integrated renal care implementation strategies have particularly focused on micro clinical processes and physical outcomes, while little emphasis has been placed on meso organisational as well as macro system integration processes. In addition, evidence regarding patients' perceived outcomes and economic outcomes has been weak. These results underscore that the future challenge for researchers is to explore which integrated care implementation strategies achieve better health and improved experience of care at a lower cost within a specific context. For this purpose, this study's framework and evidence synthesis have set a developmental agenda for both integrated renal care practice and research. Accordingly, we plan further work to develop an implementation

  18. [Cardiac Synchronization Function Estimation Based on ASM Level Set Segmentation Method].

    Science.gov (United States)

    Zhang, Yaonan; Gao, Yuan; Tang, Liang; He, Ying; Zhang, Huie

    At present, there is no accurate and quantitative methods for the determination of cardiac mechanical synchronism, and quantitative determination of the synchronization function of the four cardiac cavities with medical images has a great clinical value. This paper uses the whole heart ultrasound image sequence, and segments the left & right atriums and left & right ventricles of each frame. After the segmentation, the number of pixels in each cavity and in each frame is recorded, and the areas of the four cavities of the image sequence are therefore obtained. The area change curves of the four cavities are further extracted, and the synchronous information of the four cavities is obtained. Because of the low SNR of Ultrasound images, the boundary lines of cardiac cavities are vague, so the extraction of cardiac contours is still a challenging problem. Therefore, the ASM model information is added to the traditional level set method to force the curve evolution process. According to the experimental results, the improved method improves the accuracy of the segmentation. Furthermore, based on the ventricular segmentation, the right and left ventricular systolic functions are evaluated, mainly according to the area changes. The synchronization of the four cavities of the heart is estimated based on the area changes and the volume changes.

  19. Deviation rectification for dynamic measurement of rail wear based on coordinate sets projection

    International Nuclear Information System (INIS)

    Wang, Chao; Ma, Ziji; Li, Yanfu; Liu, Hongli; Zeng, Jiuzhen; Jin, Tan

    2017-01-01

    Dynamic measurement of rail wear using a laser imaging system suffers from random vibrations in the laser-based imaging sensor which cause distorted rail profiles. In this paper, a simple and effective method for rectifying profile deviation is presented to address this issue. There are two main steps: profile recognition and distortion calibration. According to the constant camera and projector parameters, efficient recognition of measured profiles is achieved by analyzing the geometric difference between normal profiles and distorted ones. For a distorted profile, by constructing coordinate sets projecting from it to the standard one on triple projecting primitives, including the rail head inner line, rail waist curve and rail jaw, iterative extrinsic camera parameter self-compensation is implemented. The distortion is calibrated by projecting the distorted profile onto the x – y plane of a measuring coordinate frame, which is parallel to the rail cross section, to eliminate the influence of random vibrations in the laser-based imaging sensor. As well as evaluating the implementation with comprehensive experiments, we also compare our method with other published works. The results exhibit the effectiveness and superiority of our method for the dynamic measurement of rail wear. (paper)

  20. Deviation rectification for dynamic measurement of rail wear based on coordinate sets projection

    Science.gov (United States)

    Wang, Chao; Ma, Ziji; Li, Yanfu; Zeng, Jiuzhen; Jin, Tan; Liu, Hongli

    2017-10-01

    Dynamic measurement of rail wear using a laser imaging system suffers from random vibrations in the laser-based imaging sensor which cause distorted rail profiles. In this paper, a simple and effective method for rectifying profile deviation is presented to address this issue. There are two main steps: profile recognition and distortion calibration. According to the constant camera and projector parameters, efficient recognition of measured profiles is achieved by analyzing the geometric difference between normal profiles and distorted ones. For a distorted profile, by constructing coordinate sets projecting from it to the standard one on triple projecting primitives, including the rail head inner line, rail waist curve and rail jaw, iterative extrinsic camera parameter self-compensation is implemented. The distortion is calibrated by projecting the distorted profile onto the x-y plane of a measuring coordinate frame, which is parallel to the rail cross section, to eliminate the influence of random vibrations in the laser-based imaging sensor. As well as evaluating the implementation with comprehensive experiments, we also compare our method with other published works. The results exhibit the effectiveness and superiority of our method for the dynamic measurement of rail wear.

  1. Adaptive Fault Detection for Complex Dynamic Processes Based on JIT Updated Data Set

    Directory of Open Access Journals (Sweden)

    Jinna Li

    2012-01-01

    Full Text Available A novel fault detection technique is proposed to explicitly account for the nonlinear, dynamic, and multimodal problems existed in the practical and complex dynamic processes. Just-in-time (JIT detection method and k-nearest neighbor (KNN rule-based statistical process control (SPC approach are integrated to construct a flexible and adaptive detection scheme for the control process with nonlinear, dynamic, and multimodal cases. Mahalanobis distance, representing the correlation among samples, is used to simplify and update the raw data set, which is the first merit in this paper. Based on it, the control limit is computed in terms of both KNN rule and SPC method, such that we can identify whether the current data is normal or not by online approach. Noted that the control limit obtained changes with updating database such that an adaptive fault detection technique that can effectively eliminate the impact of data drift and shift on the performance of detection process is obtained, which is the second merit in this paper. The efficiency of the developed method is demonstrated by the numerical examples and an industrial case.

  2. Rough Set Theory Based Fuzzy TOPSIS on Serious Game Design Evaluation Framework

    Directory of Open Access Journals (Sweden)

    Chung-Ho Su

    2013-01-01

    Full Text Available This study presents a hybrid methodology for solving the serious game design evaluation in which evaluation criteria are based on meaningful learning, ARCS motivation, cognitive load, and flow theory (MACF by rough set theory (RST and experts’ selection. The purpose of this study tends to develop an evaluation model with RST based fuzzy Delphi-AHP-TOPSIS for MACF characteristics. Fuzzy Delphi method is utilized for selecting the evaluation criteria, Fuzzy AHP is used for analyzing the criteria structure and determining the evaluation weight of criteria, and Fuzzy TOPSIS is applied to determine the sequence of the evaluations. A real case is also used for evaluating the selection of MACF criteria design for four serious games, and both the practice and evaluation of the case could be explained. The results show that the playfulness (C24, skills (C22, attention (C11, and personalized (C35 are determined as the four most important criteria in the MACF selection process. And evaluation results of case study point out that Game 1 has the best score overall (Game 1 > Game 3 > Game 2 > Game 4. Finally, proposed evaluation framework tends to evaluate the effectiveness and the feasibility of the evaluation model and provide design criteria for relevant multimedia game design educators.

  3. Antipsychotic Polypharmacy among Children and Young Adults in Office-Based or Hospital Outpatient Department Settings

    Directory of Open Access Journals (Sweden)

    Minji Sohn

    2017-11-01

    Full Text Available The purpose of the study was three-fold: (1 to estimate the national trends in antipsychotic (AP polypharmacy among 6- to 24-year-old patients in the U.S.; (2 to identify frequently used AP agents and mental disorder diagnoses related to AP polypharmacy; and (3 to assess the strength of association between AP polypharmacy and patient/provider characteristics. We used publicly available ambulatory health care datasets to evaluate AP polypharmacy in office-based or hospital outpatient department settings to conduct a cross-sectional study. First, national visit rates between 2007 and 2011 were estimated using sampling weights. Second, common diagnoses and drugs used in AP polypharmacy were identified. Third, a multivariate logistic regression model was developed to assess the strength of association between AP polypharmacy and patient and provider characteristics. Between 2007 and 2011, approximately 2% of office-based or hospital outpatient department visits made by 6- to 24-year-old patients included one or more AP prescriptions. Of these visits, 5% were classified as AP polypharmacy. The most common combination of AP polypharmacy was to use two or more second-generation APs. Also, bipolar disorder and schizophrenia were the two most frequent primary mental disorder diagnoses among AP polypharmacy visits. The factors associated with AP polypharmacy were: older age (young adults, black, having one or more non-AP prescriptions, and having schizophrenia or ADHD.

  4. MMPI-based employment decisions for high-risk positions in nuclear power settings

    Energy Technology Data Exchange (ETDEWEB)

    Wilikofsky, A.S.

    1986-01-01

    To asses the feasibility of using the Minnesota Multiphasic Personality Inventory (MMPI) as a personnel screening device for high-risk occupations, the test protocols of 735 applicants to and employees of the nuclear facilities owned by a southeastern utility were obtained. Institutional information on initial screening, hiring, and follow-up status was provided. MMPI data were processed to yield pass-and-fail screening decisions using a commercially available computer-based test interpretation system and a locally developed (NC) clerical interpretive system. The latter method was applied both with and without K corrections to component scores. The clerical system using K-corrected scores produced the largest number of true and false positives. The same rules, using uncorrected scores, produced the greatest number of false negatives. The computer-based system produced the most-acceptable set of decisions overall, striking a balance between these two kinds of errors. It was concluded that, when assessed against the available criterion information, the MMPI could not be recommended as a screening device. However, due to serious limitations inherent in these data, further study is needed.

  5. A Rough Set-Based Model of HIV-1 Reverse Transcriptase Resistome

    Directory of Open Access Journals (Sweden)

    Marcin Kierczak

    2009-10-01

    Full Text Available Reverse transcriptase (RT is a viral enzyme crucial for HIV-1 replication. Currently, 12 drugs are targeted against the RT. The low fidelity of the RT-mediated transcription leads to the quick accumulation of drug-resistance mutations. The sequence-resistance relationship remains only partially understood. Using publicly available data collected from over 15 years of HIV proteome research, we have created a general and predictive rule-based model of HIV-1 resistance to eight RT inhibitors. Our rough set-based model considers changes in the physicochemical properties of a mutated sequence as compared to the wild-type strain. Thanks to the application of the Monte Carlo feature selection method, the model takes into account only the properties that significantly contribute to the resistance phenomenon. The obtained results show that drug-resistance is determined in more complex way than believed. We confirmed the importance of many resistance-associated sites, found some sites to be less relevant than formerly postulated and— more importantly—identified several previously neglected sites as potentially relevant. By mapping some of the newly discovered sites on the 3D structure of the RT, we were able to suggest possible molecular-mechanisms of drug-resistance. Importantly, our model has the ability to generalize predictions to the previously unseen cases. The study is an example of how computational biology methods can increase our understanding of the HIV-1 resistome.

  6. MMPI-based employment decisions for high-risk positions in nuclear power settings

    International Nuclear Information System (INIS)

    Wilikofsky, A.S.

    1986-01-01

    To asses the feasibility of using the Minnesota Multiphasic Personality Inventory (MMPI) as a personnel screening device for high-risk occupations, the test protocols of 735 applicants to and employees of the nuclear facilities owned by a southeastern utility were obtained. Institutional information on initial screening, hiring, and follow-up status was provided. MMPI data were processed to yield pass-and-fail screening decisions using a commercially available computer-based test interpretation system and a locally developed (NC) clerical interpretive system. The latter method was applied both with and without K corrections to component scores. The clerical system using K-corrected scores produced the largest number of true and false positives. The same rules, using uncorrected scores, produced the greatest number of false negatives. The computer-based system produced the most-acceptable set of decisions overall, striking a balance between these two kinds of errors. It was concluded that, when assessed against the available criterion information, the MMPI could not be recommended as a screening device. However, due to serious limitations inherent in these data, further study is needed

  7. A Novel Clustering Model Based on Set Pair Analysis for the Energy Consumption Forecast in China

    Directory of Open Access Journals (Sweden)

    Mingwu Wang

    2014-01-01

    Full Text Available The energy consumption forecast is important for the decision-making of national economic and energy policies. But it is a complex and uncertainty system problem affected by the outer environment and various uncertainty factors. Herein, a novel clustering model based on set pair analysis (SPA was introduced to analyze and predict energy consumption. The annual dynamic relative indicator (DRI of historical energy consumption was adopted to conduct a cluster analysis with Fisher’s optimal partition method. Combined with indicator weights, group centroids of DRIs for influence factors were transferred into aggregating connection numbers in order to interpret uncertainty by identity-discrepancy-contrary (IDC analysis. Moreover, a forecasting model based on similarity to group centroid was discussed to forecast energy consumption of a certain year on the basis of measured values of influence factors. Finally, a case study predicting China’s future energy consumption as well as comparison with the grey method was conducted to confirm the reliability and validity of the model. The results indicate that the method presented here is more feasible and easier to use and can interpret certainty and uncertainty of development speed of energy consumption and influence factors as a whole.

  8. AIF-ω: Set-Based Protocol Abstraction with Countable Families

    DEFF Research Database (Denmark)

    Mödersheim, Sebastian Alexander; Bruni, Alessandro

    2016-01-01

    this limitation by abstracting state into countable families of sets. We can then formalize a problem with unbounded agents, where each agent maintains its own set of keys. Still, our method does not loose the benefits of the abstraction approach, in particular, it translates a verification problem to a set...

  9. Keypoint-based 4-Points Congruent Sets - Automated marker-less registration of laser scans

    Science.gov (United States)

    Theiler, Pascal Willy; Wegner, Jan Dirk; Schindler, Konrad

    2014-10-01

    We propose a method to automatically register two point clouds acquired with a terrestrial laser scanner without placing any markers in the scene. What makes this task challenging are the strongly varying point densities caused by the line-of-sight measurement principle, and the huge amount of data. The first property leads to low point densities in potential overlap areas with scans taken from different viewpoints while the latter calls for highly efficient methods in terms of runtime and memory requirements. A crucial yet largely unsolved step is the initial coarse alignment of two scans without any simplifying assumptions, that is, point clouds are given in arbitrary local coordinates and no knowledge about their relative orientation is available. Once coarse alignment has been solved, scans can easily be fine-registered with standard methods like least-squares surface or Iterative Closest Point matching. In order to drastically thin out the original point clouds while retaining characteristic features, we resort to extracting 3D keypoints. Such clouds of keypoints, which can be viewed as a sparse but nevertheless discriminative representation of the original scans, are then used as input to a very efficient matching method originally developed in computer graphics, called 4-Points Congruent Sets (4PCS) algorithm. We adapt the 4PCS matching approach to better suit the characteristics of laser scans. The resulting Keypoint-based 4-Points Congruent Sets (K-4PCS) method is extensively evaluated on challenging indoor and outdoor scans. Beyond the evaluation on real terrestrial laser scans, we also perform experiments with simulated indoor scenes, paying particular attention to the sensitivity of the approach with respect to highly symmetric scenes.

  10. Assessing landslide susceptibility by applying fuzzy sets, possibility evidence-based theories

    Directory of Open Access Journals (Sweden)

    Ibsen Chivatá Cárdenas

    2008-01-01

    Full Text Available A landslide susceptibility model was developed for the city of Manizales, Colombia; landslides have been the city’s main environmental problem. Fuzzy sets and possibility and evidence-based theories were used to construct the mo-del due to the set of circumstances and uncertainty involved in the modelling; uncertainty particularly concerned the lack of representative data and the need for systematically coordinating subjective information. Susceptibility and the uncertainty were estimated via data processing; the model contained data concerning mass vulnerability and uncer-tainty. Output data was expressed on a map defined by linguistic categories or uncertain labels as having low, me-dium, high and very high susceptibility; this was considered appropriate for representing susceptibility. A fuzzy spec-trum was developed for classifying susceptibility levels according to perception and expert opinion. The model sho-wed levels of susceptibility in the study area, ranging from low to high susceptibility (medium susceptibility being mo-re frequent. This article shows the details concerning systematic data processing by presenting theories and tools regarding uncertainty. The concept of fuzzy parameters is introduced; this is useful in modelling phenomena regar-ding uncertainty, complexity and nonlinear performance, showing that susceptibility modelling can be feasible. The paper also shows the great convenience of incorporating uncertainty into modelling and decision-making. However, quantifying susceptibility is not suitable when modelling identified uncertainty because incorporating model output information cannot be reduced into exact or real numerical quantities when the nature of the variables is particularly uncertain. The latter concept is applicable to risk assessment.

  11. Multiatlas segmentation of thoracic and abdominal anatomy with level set-based local search.

    Science.gov (United States)

    Schreibmann, Eduard; Marcus, David M; Fox, Tim

    2014-07-08

    Segmentation of organs at risk (OARs) remains one of the most time-consuming tasks in radiotherapy treatment planning. Atlas-based segmentation methods using single templates have emerged as a practical approach to automate the process for brain or head and neck anatomy, but pose significant challenges in regions where large interpatient variations are present. We show that significant changes are needed to autosegment thoracic and abdominal datasets by combining multi-atlas deformable registration with a level set-based local search. Segmentation is hierarchical, with a first stage detecting bulk organ location, and a second step adapting the segmentation to fine details present in the patient scan. The first stage is based on warping multiple presegmented templates to the new patient anatomy using a multimodality deformable registration algorithm able to cope with changes in scanning conditions and artifacts. These segmentations are compacted in a probabilistic map of organ shape using the STAPLE algorithm. Final segmentation is obtained by adjusting the probability map for each organ type, using customized combinations of delineation filters exploiting prior knowledge of organ characteristics. Validation is performed by comparing automated and manual segmentation using the Dice coefficient, measured at an average of 0.971 for the aorta, 0.869 for the trachea, 0.958 for the lungs, 0.788 for the heart, 0.912 for the liver, 0.884 for the kidneys, 0.888 for the vertebrae, 0.863 for the spleen, and 0.740 for the spinal cord. Accurate atlas segmentation for abdominal and thoracic regions can be achieved with the usage of a multi-atlas and perstructure refinement strategy. To improve clinical workflow and efficiency, the algorithm was embedded in a software service, applying the algorithm automatically on acquired scans without any user interaction.

  12. Electromagnetic impact by microcellular base stations: analysis and guidelines for a correct setting up

    International Nuclear Information System (INIS)

    Licitra, G.; Reggiani, M.; Silvi, A.M.; Zari, A.; Ricci, A.

    2002-01-01

    During the last few years the development of mobile communications has required ever increasing number of base stations for both existing mobile operators and new ones. More and more users ask for a higher quality services so new technological solutions have been studied and applied to assure effective coverage for given geographical areas, as in squares or narrow streets, characterized by a very high traffic demand or where coverage by usual macro cells is very difficult. On the other side, modern societies of developed countries ask for a better and better quality of life and appropriate government policies. Several studies of national and international scientific organizations have been performed and are still in progress to establish any possible adverse effects on human health of non-ionizing radiation exposure. So, many governments, forced by public opinion pressure, have produced specific standards in agreement with scientific organization guidelines and prudent avoidance politics too. Nowadays, designing their networks, mobile operators have to respect requirements contained in these standards. So a hierarchical cellular system have been recently proposed to comply more easily with both coverage requirements and lower exposure limits. This new coverage strategy of geographical areas requires the presence of microcells beside the usual macro cells. In this paper the study of the distribution of the electromagnetic field levels produced by microcellular base stations characterized by different features and configurations is presented, in order to define a few guidelines for the correct setting up of antennas in compliance with current standard requirements. This is obtained comparing results of theoretical modeling, based on the radio electrical characteristics of each sources, and measurements data. Results achieved by measurements performed on a preliminary sample of microcells have been presented in this work

  13. Systemic impediments to the implementation of Project Based Learning in middle and high school settings

    Science.gov (United States)

    Bouilly, Delphine

    This study examines the potential structural impediments to the reform movement of Project Based Learning (PBL) that are presented to teachers by the inherent nature of the school system, as well as the ways in which teachers address these systemic barriers when attempting to implement PBL in their classrooms. Much of the current research that is aimed at investigating the transition from traditional teacher-centered learning to student-centered PBL---whether PBL as problem based or project based learning---has focused on the transition issues at the level of individual teacher/student. Systemic barriers, on the other hand, are those features that are inherent to the structure of the system, and that pose---by their very nature---physical and/or political circumstances that are inconsistent with the student-centered and collaborative goals of PBL. It is not enough for teachers, parents, students, and administrators to be philosophically aligned with PBL, if the encompassing school system is structurally incompatible with the method. This study attempts to make the structural impediments to PBL explicit, to determine whether or not the existing school system is amenable to the successful implementation of PBL. Because the universal features of PBL coupled with the ubiquity of factory-model schools is likely to create recurring themes, it is plausible that this study may in fact be analytically generalizable to situations beyond those described by the populations and contexts in this set of purposive, multiple cases. One of the themes that emerged from this study was the role of rural poverty as an underlying cause of student apathy. More research may be needed to see whether science, as taught through PBL and in collaboration with practical arts courses, might be able to address some of the social, gendered, and educational needs of impoverished rural students and their families.

  14. Helping mothers survive bleeding after birth: an educational of simulation-based training in a low resource setting

    NARCIS (Netherlands)

    Nelissen, E.J.T.; Ersdal, H.; Ostergaard, D.; Mduma, E.; Broerse, J.E.W.; Evjen-Olsen, B.; van Roosmalen, J.; Stekelenburg, J.

    2014-01-01

    Objective To evaluate "Helping Mothers Survive Bleeding After Birth" (HMS BAB) simulation-based training in a low-resource setting. Design Educational intervention study. Setting Rural referral hospital in Northern Tanzania. Population Clinicians, nurse-midwives, medical attendants, and ambulance

  15. Monitoring and Quantifying Subsurface Ice and Water Content in Permafrost Regions Based on Geophysical Data Sets

    Science.gov (United States)

    Hauck, C.; Bach, M.; Hilbich, C.

    2007-12-01

    Based on recent observational evidence of climate change in permafrost regions, it is now recognised that a detailed knowledge of the material composition of the subsurface in permafrost regions is required for modelling of the future evolution of the ground thermal regime and an assessment of the hazard potential due to degrading permafrost. However, due to the remote location of permafrost areas and the corresponding difficulties in obtaining high-quality data sets of the subsurface, knowledge about the material composition in permafrost areas is scarce. In frozen ground subsurface material may consist of four different phases: rock/soil matrix, unfrozen pore water, ice and air-filled pore space. Applications of geophysical techniques for determining the subsurface composition are comparatively cheap and logistically feasible alternatives to the single point information from boreholes. Due to the complexity of the subsurface a combination of complementary geophysical methods (e.g. electrical resistivity tomography (ERT) and refraction seismic tomography) is often favoured to avoid ambiguities in the interpretation of the results. The indirect nature of geophysical soundings requires a relation between the measured variable (electrical resistivity, seismic velocity) and the rock-, water-, ice- and air content. In this contribution we will present a model which determines the volumetric fractions of these four phases from tomographic electrical and seismic data sets. The so-called 4-phase model is based on two well-known geophysical mixing rules using observed resistivity and velocity data as input data on a 2-dimensional grid. Material properties such as resistivity and P- wave velocity of the host rock material and the pore water have to be known beforehand. The remaining free model parameters can be determined by a Monte-Carlo approach, the results of which are used additionally as indicator for the reliability of the model results. First results confirm the

  16. Evaluation of comfort in bedridden older adults using an air-cell mattress with an automated turning function: measurement of parasympathetic activity during night sleep.

    Science.gov (United States)

    Futamura, Megumi; Sugama, Junko; Okuwa, Mayumi; Sanada, Hiromi; Tabata, Keiko

    2008-12-01

    This study objectively evaluated the degree of comfort in bedridden older adults using an air-cell mattress with an automated turning mechanism. The sample included 10 bedridden women with verbal communication difficulties. The high frequency (HF) components of heart rate variability, which reflect parasympathetic nervous activity, were compared for the manual and automated turning periods. No significant differences in the HF component were observed in 5 of the participants. Significant increases in the HF component associated with automated turning were observed in 3 participants; however, the two participants with the lowest body mass index values exhibited a significant reduction in the HF component during the automated turning period. The results revealed that comfort might not be disturbed during the automated turning period.

  17. Geostatistical analysis of groundwater chemistry in Japan. Evaluation of the base case groundwater data set

    Energy Technology Data Exchange (ETDEWEB)

    Salter, P.F.; Apted, M.J. [Monitor Scientific LLC, Denver, CO (United States); Sasamoto, Hiroshi; Yui, Mikazu

    1999-05-01

    The groundwater chemistry is one of important geological environment for performance assessment of high level radioactive disposal system. This report describes the results of geostatistical analysis of groundwater chemistry in Japan. Over 15,000 separate groundwater analyses have been collected of deep Japanese groundwaters for the purpose of evaluating the range of geochemical conditions for geological radioactive waste repositories in Japan. The significance to issues such as radioelement solubility limits, sorption, corrosion of overpack, behavior of compacted clay buffers, and many other factors involved in safety assessment. It is important therefore, that a small, but representative set of groundwater types be identified so that defensible models and data for generic repository performance assessment can be established. Principal component analysis (PCA) is used to categorize representative deep groundwater types from this extensive data set. PCA is a multi-variate statistical analysis technique, similar to factor analysis or eigenvector analysis, designed to provide the best possible resolution of the variability within multi-variate data sets. PCA allows the graphical inspection of the most important similarities (clustering) and differences among samples, based on simultaneous consideration of all variables in the dataset, in a low dimensionality plot. It also allows the analyst to determine the reasons behind any pattern that is observed. In this study, PCA has been aided by hierarchical cluster analysis (HCA), in which statistical indices of similarity among multiple samples are used to distinguish distinct clusters of samples. HCA allows the natural, a priori, grouping of data into clusters showing similar attributes and is graphically represented in a dendrogram Pirouette is the multivariate statistical software package used to conduct the PCA and HCA for the Japanese groundwater dataset. An audit of the initial 15,000 sample dataset on the basis of

  18. Clinical Results of Arthroscopic Repair of Isolated Longitudinal Tear of Medial Meniscus by Vertical Cruciate Double Mattress Sutures with Outside-in Technique

    Directory of Open Access Journals (Sweden)

    Seyied Hamid Barzgar

    2013-09-01

    Full Text Available Introduction : Meniscal tears are one of the most common injuries treated by arthroscopic techniques. Arthroscopic meniscal repair is an accepted way of treatment for meniscal tears. Different arthroscopic techniques for meniscal repair are: inside-out, outside-in and all inside. In the first 2 techniques, meniscus is repaired by sutures and in the later by suture or by commercial ready implants . The goal of current study is assessing clinical results of arthroscopic repair of longitudinal meniscal tears with vertical cruciate double mattress sutures by outside-in technique after 9 months.   Methods: In this case series study, in 13 patients having criteria for engaging the study with longitudinal isolated meniscus tear, arthroscopic meniscal repair was done with vertical cruciate double mattress sutures by outside-in technique and patients were followed for 9 months.   Results: Of 13 patients, there were 12 males (92.3% and one female (7.7% aged 15-38 (average 28.3 years. In follow up period, there was one case (7.7% of irritation by subcutaneous knot. There was not any failure of repair. Average Lysholm score increased from 55.23 to 91.23 after 9 months of follow up, which was statistically significant (p<0.001. At the end of follow up period, there was not any medial joint line tenderness of knee, giving way or significant effusion or pain.   Conclusion: This study shows that this technique has a good short term outcome with no failure and low complications but it is necessary to do more long term studies to prove it.

  19. A MIT-Based Nonlinear Adaptive Set-Membership Filter for the Ellipsoidal Estimation of Mobile Robots' States

    Directory of Open Access Journals (Sweden)

    Dalei Song

    2012-10-01

    Full Text Available The adaptive extended set-membership filter (AESMF for nonlinear ellipsoidal estimation suffers a mismatch between real process noise and its set boundaries, which may result in unstable estimation. In this paper, a MIT method-based adaptive set-membership filter, for the optimization of the set boundaries of process noise, is developed and applied to the nonlinear joint estimation of both time-varying states and parameters. As a result of using the proposed MIT-AESMF, the estimation effectiveness and boundary accuracy of traditional AESMF are substantially improved. Simulation results have shown the efficiency and robustness of the proposed method.

  20. A local level set method based on a finite element method for unstructured meshes

    International Nuclear Information System (INIS)

    Ngo, Long Cu; Choi, Hyoung Gwon

    2016-01-01

    A local level set method for unstructured meshes has been implemented by using a finite element method. A least-square weighted residual method was employed for implicit discretization to solve the level set advection equation. By contrast, a direct re-initialization method, which is directly applicable to the local level set method for unstructured meshes, was adopted to re-correct the level set function to become a signed distance function after advection. The proposed algorithm was constructed such that the advection and direct reinitialization steps were conducted only for nodes inside the narrow band around the interface. Therefore, in the advection step, the Gauss–Seidel method was used to update the level set function using a node-by-node solution method. Some benchmark problems were solved by using the present local level set method. Numerical results have shown that the proposed algorithm is accurate and efficient in terms of computational time

  1. A local level set method based on a finite element method for unstructured meshes

    Energy Technology Data Exchange (ETDEWEB)

    Ngo, Long Cu; Choi, Hyoung Gwon [School of Mechanical Engineering, Seoul National University of Science and Technology, Seoul (Korea, Republic of)

    2016-12-15

    A local level set method for unstructured meshes has been implemented by using a finite element method. A least-square weighted residual method was employed for implicit discretization to solve the level set advection equation. By contrast, a direct re-initialization method, which is directly applicable to the local level set method for unstructured meshes, was adopted to re-correct the level set function to become a signed distance function after advection. The proposed algorithm was constructed such that the advection and direct reinitialization steps were conducted only for nodes inside the narrow band around the interface. Therefore, in the advection step, the Gauss–Seidel method was used to update the level set function using a node-by-node solution method. Some benchmark problems were solved by using the present local level set method. Numerical results have shown that the proposed algorithm is accurate and efficient in terms of computational time.

  2. IMPLEMENTATION OF AN EVIDENCED-BASED PARENTING PROGRAM IN A COMMUNITY MENTAL HEALTH SETTING.

    Science.gov (United States)

    Roosa Ordway, Monica; McMahon, Thomas J; De Las Heras Kuhn, Lourdes; Suchman, Nancy E

    2018-01-01

    The process of mental health intervention implementation with vulnerable populations is not well-described in the literature. The authors worked as a community-partnered team to adapt and pilot an empirically supported intervention program for mothers of infants and toddlers in an outpatient mental health clinic that primarily serves a low-income community. We used qualitative ethnographic methods to document the adaption of an evidence-based intervention, Mothering from the Inside Out, and the pilot implementation in a community mental health clinic. Seventeen mothers and their identified 0- to 84-month-old children were enrolled in the study. Key lessons from this implementation include (a) the importance of formative work to build community relationships and effectively adapt the intervention to meet the needs of the therapists and their clients, (b) the importance of designing plans for training and reflective supervision that fit within the flow of the clinic and can tolerate disruptions, and (c) that use of an interdisciplinary approach is feasible with the development of a plan for communication and the support of a trained reflective clinical supervisor. These key lessons advance the scientific knowledge available to healthcare managers and researchers who are looking to adapt mental health clinical interventions previously tested in clinical trials to implementation in community settings. © 2017 Michigan Association for Infant Mental Health.

  3. A Preference Model for Supplier Selection Based on Hesitant Fuzzy Sets

    Directory of Open Access Journals (Sweden)

    Zhexuan Zhou

    2018-03-01

    Full Text Available The supplier selection problem is a widespread concern in the modern commercial economy. Ranking suppliers involves many factors and poses significant difficulties for decision makers. Supplier selection is a multi-criteria and multi-objective problem, which leads to decision makers forming their own preferences. In addition, there are both quantifiable and non-quantifiable attributes related to their preferences. To solve this problem, this paper presents a preference model based on hesitant fuzzy sets (HFS to select suppliers. The cost and service quality of suppliers are the main considerations in the proposed model. HFS with interactive and multi-criteria decision making are used to evaluate the non-quantifiable attributes of service quality, which include competitive display, qualification ability, suitability and competitiveness of solutions, and relational fitness and dynamics. Finally, a numerical example of supplier selection for a high-end equipment manufacturer is provided to illustrate the applicability of the proposed model. The preferences of a decision maker are then analyzed by altering preference parameters.

  4. A point cloud based pipeline for depth reconstruction from autostereoscopic sets

    Science.gov (United States)

    Niquin, Cédric; Prévost, Stéphanie; Remion, Yannick

    2010-02-01

    This is a three step pipeline to construct a 3D mesh of a scene from a set of N images, destined to be viewed on auto-stereoscopic displays. The first step matches the pixels to create a point cloud using a new algorithm based on graph-cuts. It exploits the data redundancy of the N images to ensure the geometric consistency of the scene and to reduce the graph complexity, in order to speed up the computation. It performs an accurate detection of occlusions and its results can then be used in applications like view synthesis. The second step slightly moves the points along the Z-axis to refine the point cloud. It uses a new cost including both occlusion positions and light variations deduced from the matching. The Z values are selected using a dynamic programming algorithm. This step finally generates a point cloud, which is fine enough for applications like augmented reality. From any of the two previously defined point clouds, the last step creates a colored mesh, which is a convenient data structure to be used in graphics APIs. It also generates N depth maps, allowing a comparison between the results of our method with those of other methods.

  5. Setting-based interventions to promote mental health at the university: a systematic review.

    Science.gov (United States)

    Fernandez, A; Howse, E; Rubio-Valera, M; Thorncraft, K; Noone, J; Luu, X; Veness, B; Leech, M; Llewellyn, G; Salvador-Carulla, L

    2016-09-01

    Universities are dynamic environments. But university life presents challenges that may affect the mental health of its community. Higher education institutions provide opportunities to promote public health. Our objective is to summarise the current evidence on strategies to promote mental health at the university, following a setting-based model. We conducted a systematic literature review following standard methods. Published literature that evaluated structural and organizations strategies to promote mental health at the university was selected. 19 papers were included. The majority of the studies were targeting the students, with only four aiming to promote employees' mental health. The most promising strategies to promote mental wellbeing included changes in the way students are taught and assessed. On the other hand, social marketing strategies had not impact on mental health. There is inconclusive evidence related to the effectiveness of policies to promote mental health. Universities should invest in creating supportive physical, social and academic environments that promote student and staff mental wellbeing. However, the current body of evidence is scarce and more research is needed to recommend what are the best strategies.

  6. Chemical name extraction based on automatic training data generation and rich feature set.

    Science.gov (United States)

    Yan, Su; Spangler, W Scott; Chen, Ying

    2013-01-01

    The automation of extracting chemical names from text has significant value to biomedical and life science research. A major barrier in this task is the difficulty of getting a sizable and good quality data to train a reliable entity extraction model. Another difficulty is the selection of informative features of chemical names, since comprehensive domain knowledge on chemistry nomenclature is required. Leveraging random text generation techniques, we explore the idea of automatically creating training sets for the task of chemical name extraction. Assuming the availability of an incomplete list of chemical names, called a dictionary, we are able to generate well-controlled, random, yet realistic chemical-like training documents. We statistically analyze the construction of chemical names based on the incomplete dictionary, and propose a series of new features, without relying on any domain knowledge. Compared to state-of-the-art models learned from manually labeled data and domain knowledge, our solution shows better or comparable results in annotating real-world data with less human effort. Moreover, we report an interesting observation about the language for chemical names. That is, both the structural and semantic components of chemical names follow a Zipfian distribution, which resembles many natural languages.

  7. Candidate Smoke Region Segmentation of Fire Video Based on Rough Set Theory

    Directory of Open Access Journals (Sweden)

    Yaqin Zhao

    2015-01-01

    Full Text Available Candidate smoke region segmentation is the key link of smoke video detection; an effective and prompt method of candidate smoke region segmentation plays a significant role in a smoke recognition system. However, the interference of heavy fog and smoke-color moving objects greatly degrades the recognition accuracy. In this paper, a novel method of candidate smoke region segmentation based on rough set theory is presented. First, Kalman filtering is used to update video background in order to exclude the interference of static smoke-color objects, such as blue sky. Second, in RGB color space smoke regions are segmented by defining the upper approximation, lower approximation, and roughness of smoke-color distribution. Finally, in HSV color space small smoke regions are merged by the definition of equivalence relation so as to distinguish smoke images from heavy fog images in terms of V component value variety from center to edge of smoke region. The experimental results on smoke region segmentation demonstrated the effectiveness and usefulness of the proposed scheme.

  8. THE STUDY OF SPECTRUM RECONSTRUCTION BASED ON FUZZY SET FULL CONSTRAINT AND MULTIENDMEMBER DECOMPOSITION

    Directory of Open Access Journals (Sweden)

    Y. Sun

    2017-09-01

    Full Text Available Hyperspectral imaging system can obtain spectral and spatial information simultaneously with bandwidth to the level of 10 nm or even less. Therefore, hyperspectral remote sensing has the ability to detect some kinds of objects which can not be detected in wide-band remote sensing, making it becoming one of the hottest spots in remote sensing. In this study, under conditions with a fuzzy set of full constraints, Normalized Multi-Endmember Decomposition Method (NMEDM for vegetation, water, and soil was proposed to reconstruct hyperspectral data using a large number of high-quality multispectral data and auxiliary spectral library data. This study considered spatial and temporal variation and decreased the calculation time required to reconstruct the hyper-spectral data. The results of spectral reconstruction based on NMEDM showed that the reconstructed data has good qualities and certain applications, which makes it possible to carry out spectral features identification. This method also extends the application of depth and breadth of remote sensing data, helping to explore the law between multispectral and hyperspectral data.

  9. Setting up an ethics of ecosystem research structure based on the precautionary principle.

    Science.gov (United States)

    Farmer, Michael C

    2013-01-01

    Ethical practices in ecological field research differ from those in laboratory research in more than the technical setting and the important distinction between population-level and individual-based concerns. The number of stakeholders affected by the conduct of field research is far larger; private landholders, public water utilities, public land managers, local industries, and communities large and small are only some of those who may be impacted. As research review boards move to establish specific ethical practices for field biologists, the process of identifying appropriate standards will affect the degree to which research will ultimately be disrupted. Standards that lead to research protocols that alienate key interests are not likely to be sustainable. Already, standards that have conflicted with the primary values of a key interest have resulted in disruptions to research and scientific progress. One way to manage this problem of deeply competing interests is to avoid the deepest offenses to any relevant interest group in the design of a proposed study. This is an application of the precautionary principle and is likely to generate a more sustainable balance among competing interests. Unfortunately, this process is also likely to be a never-ending, consensus-seeking process. Fortunately, scientists can have enormous influence on the process if they choose to engage in it early. If scientists use their expertise to function as honest brokers among affected interests, their own interest in scientific research progress is likely to be better met.

  10. Hyperspectral band selection based on consistency-measure of neighborhood rough set theory

    International Nuclear Information System (INIS)

    Liu, Yao; Xie, Hong; Wang, Liguo; Tan, Kezhu; Chen, Yuehua; Xu, Zhen

    2016-01-01

    Band selection is a well-known approach for reducing dimensionality in hyperspectral imaging. In this paper, a band selection method based on consistency-measure of neighborhood rough set theory (CMNRS) was proposed to select informative bands from hyperspectral images. A decision-making information system was established by the reflection spectrum of soybeans’ hyperspectral data between 400 nm and 1000 nm wavelengths. The neighborhood consistency-measure, which reflects not only the size of the decision positive region, but also the sample distribution in the boundary region, was used as the evaluation function of band significance. The optimal band subset was selected by a forward greedy search algorithm. A post-pruning strategy was employed to overcome the over-fitting problem and find the minimum subset. To assess the effectiveness of the proposed band selection technique, two classification models (extreme learning machine (ELM) and random forests (RF)) were built. The experimental results showed that the proposed algorithm can effectively select key bands and obtain satisfactory classification accuracy. (paper)

  11. Model for the Assessment of Seawater Environmental Quality Based on Multiobjective Variable Fuzzy Set Theory

    Directory of Open Access Journals (Sweden)

    Lina Ke

    2013-01-01

    Full Text Available With the rapid development of marine economy industry, the activities for exploring and exploiting the marine resources are increasing, and there are more and more marine construction projects, which contribute to the growing trend of eutrophication and frequent occurrence of red tide. Thus, seawater quality has become the topic which the people generally cared about. The seawater quality evaluation could be considered as an analysis process which combined the evaluation indexes with certainty and evaluation factors with uncertainty and its changes. This paper built a model for the assessment of seawater environmental quality based on the multiobjective variable fuzzy set theory (VFEM. The Qingdao marine dumping site in China is taken as an evaluation example. Through the quantitative research of water-quality data from 2004 to 2008, the model is more reliable than other traditional methods, in which uncertainty and ambiguity of the seawater quality evaluation are considered, and trade the stable results as the final results of seawater quality evaluation, which effectively solved the impact of the fuzzy boundary of evaluation standard and monitoring error, is more suitable for evaluation of a multi-index, multilevel, and nonlinear marine environment system and has been proved to be an effective tool for seawater quality evaluation.

  12. Data set for the mass spectrometry based exoproteome analysis of Aspergillus flavus isolates

    Directory of Open Access Journals (Sweden)

    Ramu Muthu Selvam

    2015-03-01

    Full Text Available Aspergillus flavus is one of the predominant causative organisms of mycotic keratitis in tropical parts of the world. Extracellular proteins are the earliest proteins that come in contact with the host and have a role in the infection process. Exoproteins of A. flavus isolated from infected cornea, sputum and a saprophyte were pooled and identified using high resolution mass spectrometry in order to get the total exoproteome from cultures isolated from different sources. A total of 637 proteins was identified from the pooled A. flavus exoproteome. Analysis based on GO annotations of the 637 identified proteins revealed that hydrolases form the predominant class of proteins in the exoproteome. Interestingly, a greater proportion of the exoproteins seem to be secreted through the non-classical pathways. This data represent the first in-depth analysis of the representative A. flavus exoproteome of a large set of isolates from distinct sources. This data have been deposited to the ProteomeXchange with identifier PXD001296.

  13. The Visual Matrix Method: Imagery and Affect in a Group-Based Research Setting

    Directory of Open Access Journals (Sweden)

    Lynn Froggett

    2015-07-01

    Full Text Available The visual matrix is a method for researching shared experience, stimulated by sensory material relevant to a research question. It is led by imagery, visualization and affect, which in the matrix take precedence over discourse. The method enables the symbolization of imaginative and emotional material, which might not otherwise be articulated and allows "unthought" dimensions of experience to emerge into consciousness in a participatory setting. We describe the process of the matrix with reference to the study "Public Art and Civic Engagement" (FROGGETT, MANLEY, ROY, PRIOR & DOHERTY, 2014 in which it was developed and tested. Subsequently, examples of its use in other contexts are provided. Both the matrix and post-matrix discussions are described, as is the interpretive process that follows. Theoretical sources are highlighted: its origins in social dreaming; the atemporal, associative nature of the thinking during and after the matrix which we describe through the Deleuzian idea of the rhizome; and the hermeneutic analysis which draws from object relations theory and the Lorenzerian tradition of scenic understanding. The matrix has been conceptualized as a "scenic rhizome" to account for its distinctive quality and hybrid origins in research practice. The scenic rhizome operates as a "third" between participants and the "objects" of contemplation. We suggest that some of the drawbacks of other group-based methods are avoided in the visual matrix—namely the tendency for inter-personal dynamics to dominate the event. URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs150369

  14. Evaluating the Utility of Web-Based Consumer Support Tools Using Rough Sets

    Science.gov (United States)

    Maciag, Timothy; Hepting, Daryl H.; Slezak, Dominik; Hilderman, Robert J.

    On the Web, many popular e-commerce sites provide consumers with decision support tools to assist them in their commerce-related decision-making. Many consumers will rank the utility of these tools quite highly. Data obtained from web usage mining analyses, which may provide knowledge about a user's online experiences, could help indicate the utility of these tools. This type of analysis could provide insight into whether provided tools are adequately assisting consumers in conducting their online shopping activities or if new or additional enhancements need consideration. Although some research in this regard has been described in previous literature, there is still much that can be done. The authors of this paper hypothesize that a measurement of consumer decision accuracy, i.e. a measurement preferences, could help indicate the utility of these tools. This paper describes a procedure developed towards this goal using elements of rough set theory. The authors evaluated the procedure using two support tools, one based on a tool developed by the US-EPA and the other developed by one of the authors called cogito. Results from the evaluation did provide interesting insights on the utility of both support tools. Although it was shown that the cogito tool obtained slightly higher decision accuracy, both tools could be improved from additional enhancements. Details of the procedure developed and results obtained from the evaluation will be provided. Opportunities for future work are also discussed.

  15. A Solitary Wave-Based Sensor to Monitor the Setting of Fresh Concrete

    Directory of Open Access Journals (Sweden)

    Piervincenzo Rizzo

    2014-07-01

    Full Text Available We present a proof-of-principle study about the use of a sensor for the nondestructive monitoring of strength development in hydrating concrete. The nondestructive evaluation technique is based on the propagation of highly nonlinear solitary waves (HNSWs, which are non-dispersive mechanical waves that can form and travel in highly nonlinear systems, such as one-dimensional particle chains. A built-in transducer is adopted to excite and detect the HNSWs. The waves are partially reflected at the transducer/concrete interface and partially transmitted into the concrete. The time-of-flight and the amplitude of the waves reflected at the interface are measured and analyzed with respect to the hydration time, and correlated to the initial and final set times established by the penetration test (ASTM C 403. The results show that certain features of the HNSWs change as the concrete curing progresses indicating that it has the potential of being an efficient, cost-effective tool for monitoring strengths/stiffness development.

  16. Set-base dynamical parameter estimation and model invalidation for biochemical reaction networks.

    Science.gov (United States)

    Rumschinski, Philipp; Borchers, Steffen; Bosio, Sandro; Weismantel, Robert; Findeisen, Rolf

    2010-05-25

    Mathematical modeling and analysis have become, for the study of biological and cellular processes, an important complement to experimental research. However, the structural and quantitative knowledge available for such processes is frequently limited, and measurements are often subject to inherent and possibly large uncertainties. This results in competing model hypotheses, whose kinetic parameters may not be experimentally determinable. Discriminating among these alternatives and estimating their kinetic parameters is crucial to improve the understanding of the considered process, and to benefit from the analytical tools at hand. In this work we present a set-based framework that allows to discriminate between competing model hypotheses and to provide guaranteed outer estimates on the model parameters that are consistent with the (possibly sparse and uncertain) experimental measurements. This is obtained by means of exact proofs of model invalidity that exploit the polynomial/rational structure of biochemical reaction networks, and by making use of an efficient strategy to balance solution accuracy and computational effort. The practicability of our approach is illustrated with two case studies. The first study shows that our approach allows to conclusively rule out wrong model hypotheses. The second study focuses on parameter estimation, and shows that the proposed method allows to evaluate the global influence of measurement sparsity, uncertainty, and prior knowledge on the parameter estimates. This can help in designing further experiments leading to improved parameter estimates.

  17. Disseminating evidence-based treatments for PTSD in organizational settings: A high priority focus area.

    Science.gov (United States)

    Ruzek, Josef I; Rosen, Raymond C

    2009-11-01

    Dissemination of evidence-based treatments for PTSD has become an important focus of activity in the aftermath of recent terrorist attacks (e.g., London underground and U.S. 9/11 attacks), natural disasters (e.g., Indian Ocean tsunami and Hurricane Katrina), and wars (e.g., in Iraq and Afghanistan). This has become a high priority need for all mental health training and service delivery organizations. Researchers and educators have begun to examine clinician and client perceptions and preferences regarding PTSD treatment processes, and health care systems are organizing more comprehensive efforts at training and system change. As this evolution of services moves forward, effective dissemination should be a major focus of health policy research for the next decade or more. This review critically evaluates the PTSD-related research and emerging theory related to four major sets of variables that affect dissemination: (1) Practitioner factors, (2) Training methods, (3) The practice innovation(s) being disseminated; and (4) Organization or system factors. We evaluate findings from recent studies in light of emerging models of dissemination, and in the final section of the paper, we consider five broad topics with particular implications for dissemination of PTSD-specific treatments. They are: (1) The content of dissemination (i.e., which treatment protocols or intervention methods should be prioritized); (2) Strict adherence versus flexibility in the use of treatment manuals and the role of fidelity assessment; (3) The need for collaboration with user audiences; (4) The potential role of web-based technologies in increasing the effectiveness and efficiency of dissemination; and (5) Development of dissemination infrastructures within organizations.

  18. PC-based support programs coupled with the sets code for large fault tree analysis

    International Nuclear Information System (INIS)

    Hioki, K.; Nakai, R.

    1989-01-01

    Power Reactor and Nuclear Fuel Development Corporation (PNC) has developed four PC programs: IEIQ (Initiating Event Identification and Quantification), MODESTY (Modular Even Description for a Variety of Systems), FAUST (Fault Summary Tables Generation Program) and ETAAS (Event Tree Analysis Assistant System). These programs prepare the input data for the SETS (Set Equation Transformation System) code and construct and quantify event trees (E/Ts) using the output of the SETS code. The capability of these programs is described and some examples of the results are presented in this paper. With these PC programs and the SETS code, PSA can now be performed with more consistency and less manpower

  19. Smartphone-based psychotherapeutic micro-interventions to improve mood in a real-world setting

    Directory of Open Access Journals (Sweden)

    Gunther Meinlschmidt

    2016-07-01

    %CI [0.124, 0.601], p=0.170. Discussion: Our findings provide evidence for the applicability of smartphone-based micro-interventions eliciting short-term mood changes, based on techniques used in psychotherapeutic approaches, such as mindfulness-based psychotherapy, transcendental meditation, and other contemplative therapies. The results encourage exploring these techniques' capability to improve mood in randomized controlled studies and patients. Smartphone-based micro-interventions are promising to modify mood in real-world settings, complementing other psychotherapeutic interventions, in line with the precision medicine approach. The here presented data were collected within a randomized trial, registered at ClinicalTrials.gov (Identifier: NCT01921088 https://clinicaltrials.gov/ct2/show/NCT01921088.

  20. Generating Big Data Sets from Knowledge-based Decision Support Systems to Pursue Value-based Healthcare

    Directory of Open Access Journals (Sweden)

    Arturo González-Ferrer

    2018-03-01

    Full Text Available Talking about Big Data in healthcare we usually refer to how to use data collected from current electronic medical records, either structured or unstructured, to answer clinically relevant questions. This operation is typically carried out by means of analytics tools (e.g. machine learning or by extracting relevant data from patient summaries through natural language processing techniques. From other perspective of research in medical informatics, powerful initiatives have emerged to help physicians taking decisions, in both diagnostics and therapeutics, built from the existing medical evidence (i.e. knowledge-based decision support systems. Much of the problems these tools have shown, when used in real clinical settings, are related to their implementation and deployment, more than failing in its support, but, technology is slowly overcoming interoperability and integration issues. Beyond the point-of-care decision support these tools can provide, the data generated when using them, even in controlled trials, could be used to further analyze facts that are traditionally ignored in the current clinical practice. In this paper, we reflect on the technologies available to make the leap and how they could help driving healthcare organizations shifting to a value-based healthcare philosophy.

  1. A LEVEL SET BASED SHAPE OPTIMIZATION METHOD FOR AN ELLIPTIC OBSTACLE PROBLEM

    KAUST Repository

    Burger, Martin; Matevosyan, Norayr; Wolfram, Marie-Therese

    2011-01-01

    analysis of the level set method in terms of viscosity solutions. To our knowledge this is the first complete analysis of a level set method for a nonlocal shape optimization problem. Finally, we discuss the implementation of the methods and illustrate its

  2. Promoting Mental Health Literacy through Bibliotherapy in School-Based Settings

    Science.gov (United States)

    Mumbauer, Janyna; Kelchner, Viki

    2018-01-01

    Considering that one in five children has or has had a mental disorder in a given year (National Institute of Mental Health, 2010), the demand for mental health services within the school setting is immense. Bibliotherapy can serve as a preventative and responsive treatment for increasing mental health literacy within the school setting. The…

  3. An Independent Filter for Gene Set Testing Based on Spectral Enrichment

    NARCIS (Netherlands)

    Frost, H Robert; Li, Zhigang; Asselbergs, Folkert W; Moore, Jason H

    2015-01-01

    Gene set testing has become an indispensable tool for the analysis of high-dimensional genomic data. An important motivation for testing gene sets, rather than individual genomic variables, is to improve statistical power by reducing the number of tested hypotheses. Given the dramatic growth in

  4. Towards an ICF- and IMMPACT-Based Pain Vocational Rehabilitation Core Set in the Netherlands

    NARCIS (Netherlands)

    Reneman, M. F.; Beemster, T. T.; Edelaar, M. J. A.; van Velzen, J. M.; van Bennekom, C.; Escorpizo, R.

    2013-01-01

    Background For clinical use and research of pain within the context of vocational rehabilitation, a specific core set of measurements is needed. The recommendations of the International Classification of Functioning, Disability and Health (ICF) brief Core Set for Vocational Rehabilitation (VR) and

  5. Is the Cardiovascular Response Equivalent Between a Supervised Center-Based Setting and a Self-care Home-Based Setting When Rating of Perceived Exertion Is Used to Guide Aerobic Exercise Intensity During a Cardiac Rehabilitation Program?

    DEFF Research Database (Denmark)

    Tang, Lars H.; Zwisler, Ann Dorthe; Kikkenborg Berg, Selina

    2017-01-01

    and atrial fibrillation post–radiofrequency ablation) participating in exercise-based rehabilitation were included. Patients performed a 12-week program in either a center- or a home-based setting. Using RPE, patients recorded their exercise intensity 3 times during an aerobic training phase. Exercise...... intensity was objectively measured using heart rate (HR) monitors. RESULTS: A total of 2622 RPE values with corresponding HR data were available. There was no difference in the level of association (interaction P = 0.51) between HR and RPE seen in the center-based setting (mean of 6.1 beats/min per 1...

  6. Selecting, Adapting, and Implementing Evidence-based Interventions in Rural Settings: An Analysis of 70 Community Examples.

    Science.gov (United States)

    Smith, Tina Anderson; Adimu, Tanisa Foxworth; Martinez, Amanda Phillips; Minyard, Karen

    2016-01-01

    This paper explores how communities translate evidence-based and promising health practices to rural contexts. A descriptive, qualitative analysis was conducted using data from 70 grantees funded by the Federal Office of Rural Health Policy to implement evidence-based health practices in rural settings. Findings were organized using The Interactive Systems Framework for Dissemination and Implementation. Grantees broadly interpreted evidence-based and promising practices, resulting in the implementation of a patchwork of health-related interventions that fell along a spectrum of evidentiary rigor. The cohort faced common challenges translating recognized practices into rural community settings and reported making deliberate modifications to original models as a result. Opportunities for building a more robust rural health evidence base include investments to incentivize evidence-based programming in rural settings; rural-specific research and theory-building; translation of existing evidence using a rural lens; technical assistance to support rural innovation; and prioritization of evaluation locally.

  7. Sensitivity Analysis of features in tolerancing based on constraint function level sets

    International Nuclear Information System (INIS)

    Ziegler, Philipp; Wartzack, Sandro

    2015-01-01

    Usually, the geometry of the manufactured product inherently varies from the nominal geometry. This may negatively affect the product functions and properties (such as quality and reliability), as well as the assemblability of the single components. In order to avoid this, the geometric variation of these component surfaces and associated geometry elements (like hole axes) are restricted by tolerances. Since tighter tolerances lead to significant higher manufacturing costs, tolerances should be specified carefully. Therefore, the impact of deviating component surfaces on functions, properties and assemblability of the product has to be analyzed. As physical experiments are expensive, methods of statistical tolerance analysis tools are widely used in engineering design. Current tolerance simulation tools lack of an appropriate indicator for the impact of deviating component surfaces. In the adoption of Sensitivity Analysis methods, there are several challenges, which arise from the specific framework in tolerancing. This paper presents an approach to adopt Sensitivity Analysis methods on current tolerance simulations with an interface module, which bases on level sets of constraint functions for parameters of the simulation model. The paper is an extension and generalization of Ziegler and Wartzack [1]. Mathematical properties of the constraint functions (convexity, homogeneity), which are important for the computational costs of the Sensitivity Analysis, are shown. The practical use of the method is illustrated in a case study of a plain bearing. - Highlights: • Alternative definition of Deviation Domains. • Proof of mathematical properties of the Deviation Domains. • Definition of the interface between Deviation Domains and Sensitivity Analysis. • Sensitivity analysis of a gearbox to show the methods practical use

  8. Greater power and computational efficiency for kernel-based association testing of sets of genetic variants.

    Science.gov (United States)

    Lippert, Christoph; Xiang, Jing; Horta, Danilo; Widmer, Christian; Kadie, Carl; Heckerman, David; Listgarten, Jennifer

    2014-11-15

    Set-based variance component tests have been identified as a way to increase power in association studies by aggregating weak individual effects. However, the choice of test statistic has been largely ignored even though it may play an important role in obtaining optimal power. We compared a standard statistical test-a score test-with a recently developed likelihood ratio (LR) test. Further, when correction for hidden structure is needed, or gene-gene interactions are sought, state-of-the art algorithms for both the score and LR tests can be computationally impractical. Thus we develop new computationally efficient methods. After reviewing theoretical differences in performance between the score and LR tests, we find empirically on real data that the LR test generally has more power. In particular, on 15 of 17 real datasets, the LR test yielded at least as many associations as the score test-up to 23 more associations-whereas the score test yielded at most one more association than the LR test in the two remaining datasets. On synthetic data, we find that the LR test yielded up to 12% more associations, consistent with our results on real data, but also observe a regime of extremely small signal where the score test yielded up to 25% more associations than the LR test, consistent with theory. Finally, our computational speedups now enable (i) efficient LR testing when the background kernel is full rank, and (ii) efficient score testing when the background kernel changes with each test, as for gene-gene interaction tests. The latter yielded a factor of 2000 speedup on a cohort of size 13 500. Software available at http://research.microsoft.com/en-us/um/redmond/projects/MSCompBio/Fastlmm/. heckerma@microsoft.com Supplementary data are available at Bioinformatics online. © The Author 2014. Published by Oxford University Press.

  9. Hybrid approach for detection of dental caries based on the methods FCM and level sets

    Science.gov (United States)

    Chaabene, Marwa; Ben Ali, Ramzi; Ejbali, Ridha; Zaied, Mourad

    2017-03-01

    This paper presents a new technique for detection of dental caries that is a bacterial disease that destroys the tooth structure. In our approach, we have achieved a new segmentation method that combines the advantages of fuzzy C mean algorithm and level set method. The results obtained by the FCM algorithm will be used by Level sets algorithm to reduce the influence of the noise effect on the working of each of these algorithms, to facilitate level sets manipulation and to lead to more robust segmentation. The sensitivity and specificity confirm the effectiveness of proposed method for caries detection.

  10. Goal setting practice in services delivering community-based stroke rehabilitation: a United Kingdom (UK) wide survey.

    Science.gov (United States)

    Scobbie, Lesley; Duncan, Edward A; Brady, Marian C; Wyke, Sally

    2015-01-01

    We investigated the nature of services providing community-based stroke rehabilitation across the UK, and goal setting practice used within them, to inform evaluation of a goal setting and action planning (G-AP) framework. We designed, piloted and electronically distributed a survey to health professionals working in community-based stroke rehabilitation settings across the UK. We optimised recruitment using a multi-faceted strategy. Responses were analysed from 437 services. Services size, composition and input was highly variable; however, most were multi-disciplinary (82%; n = 335/407) and provided input to a mixed diagnostic group of patients (71%; n = 312/437). Ninety one percent of services (n = 358/395) reported setting goals with "all" or "most" stroke survivors. Seventeen percent (n = 65/380) reported that no methods were used to guide goal setting practice; 47% (n = 148/315) reported use of informal methods only. Goal setting practice varied, e.g. 98% of services (n = 362/369) reported routinely asking patients about goal priorities; 39% (n = 141/360) reported routinely providing patients with a copy of their goals. Goal setting is embedded within community-based stroke rehabilitation; however, practice varies and is potentially sub-optimal. Further evaluation of the G-AP framework is warranted to inform optimal practice. Evaluation design will take account of the diverse service models that exist. Implications for Rehabilitation Community-based stroke rehabilitation services across the UK are diverse and tend to see a mixed diagnostic group of patients. Goal setting is implemented routinely within community-based stroke rehabilitation services; however, practice is variable and potentially sub-optimal. Further evaluation of the G-AP framework is warranted to assess its effectiveness in practice.

  11. Ultrafuzziness Optimization Based on Type II Fuzzy Sets for Image Thresholding

    Directory of Open Access Journals (Sweden)

    Hudan Studiawan

    2010-11-01

    Full Text Available Image thresholding is one of the processing techniques to provide high quality preprocessed image. Image vagueness and bad illumination are common obstacles yielding in a poor image thresholding output. By assuming image as fuzzy sets, several different fuzzy thresholding techniques have been proposed to remove these obstacles during threshold selection. In this paper, we proposed an algorithm for thresholding image using ultrafuzziness optimization to decrease uncertainty in fuzzy system by common fuzzy sets like type II fuzzy sets. Optimization was conducted by involving ultrafuzziness measurement for background and object fuzzy sets separately. Experimental results demonstrated that the proposed image thresholding method had good performances for images with high vagueness, low level contrast, and grayscale ambiguity.

  12. Level set segmentation of medical images based on local region statistics and maximum a posteriori probability.

    Science.gov (United States)

    Cui, Wenchao; Wang, Yi; Lei, Tao; Fan, Yangyu; Feng, Yan

    2013-01-01

    This paper presents a variational level set method for simultaneous segmentation and bias field estimation of medical images with intensity inhomogeneity. In our model, the statistics of image intensities belonging to each different tissue in local regions are characterized by Gaussian distributions with different means and variances. According to maximum a posteriori probability (MAP) and Bayes' rule, we first derive a local objective function for image intensities in a neighborhood around each pixel. Then this local objective function is integrated with respect to the neighborhood center over the entire image domain to give a global criterion. In level set framework, this global criterion defines an energy in terms of the level set functions that represent a partition of the image domain and a bias field that accounts for the intensity inhomogeneity of the image. Therefore, image segmentation and bias field estimation are simultaneously achieved via a level set evolution process. Experimental results for synthetic and real images show desirable performances of our method.

  13. A Fast Logdet Divergence Based Metric Learning Algorithm for Large Data Sets Classification

    Directory of Open Access Journals (Sweden)

    Jiangyuan Mei

    2014-01-01

    the basis of classifiers, for example, the k-nearest neighbors classifier. Experiments on benchmark data sets demonstrate that the proposed algorithm compares favorably with the state-of-the-art methods.

  14. Complementary Self-Biased Logics Based on Single-Electron Transistor (SET)/CMOS Hybrid Process

    Science.gov (United States)

    Song, Ki-Whan; Lee, Yong Kyu; Sim, Jae Sung; Kim, Kyung Rok; Lee, Jong Duk; Park, Byung-Gook; You, Young Sub; Park, Joo-On; Jin, You Seung; Kim, Young-Wug

    2005-04-01

    We propose a complementary self-biasing method which enables the single-electron transistor (SET)/complementary metal-oxide semiconductor (CMOS) hybrid multi-valued logics (MVLs) to operate well at high temperatures, where the peak-to-valley current ratio (PVCR) of the Coulomb oscillation markedly decreases. The new architecture is implemented with a few transistors by utilizing the phase control capability of the sidewall depletion gates in dual-gate single-electron transistors (DGSETs). The suggested scheme is evaluated by a SPICE simulation with an analytical DGSET model. Furthermore, we have developed a new process technology for the SET/CMOS hybrid systems. We have confirmed that both of the fabricated devices, namely, SET and CMOS transistors, exhibit the ideal characteristics for the complementary self-biasing scheme: the SET shows clear Coulomb oscillations with a 100 mV period and the CMOS transistors show a high voltage gain.

  15. A LEVEL SET BASED SHAPE OPTIMIZATION METHOD FOR AN ELLIPTIC OBSTACLE PROBLEM

    KAUST Repository

    Burger, Martin

    2011-04-01

    In this paper, we construct a level set method for an elliptic obstacle problem, which can be reformulated as a shape optimization problem. We provide a detailed shape sensitivity analysis for this reformulation and a stability result for the shape Hessian at the optimal shape. Using the shape sensitivities, we construct a geometric gradient flow, which can be realized in the context of level set methods. We prove the convergence of the gradient flow to an optimal shape and provide a complete analysis of the level set method in terms of viscosity solutions. To our knowledge this is the first complete analysis of a level set method for a nonlocal shape optimization problem. Finally, we discuss the implementation of the methods and illustrate its behavior through several computational experiments. © 2011 World Scientific Publishing Company.

  16. Patients' preference for exercise setting and its influence on the health benefits gained from exercise-based cardiac rehabilitation

    DEFF Research Database (Denmark)

    Tang, Lars H.; Kikkenborg Berg, Selina; Christensen, Jan

    2017-01-01

    .011). With the exception of the depression score in the Hospital Anxiety and Depression Score (F(3.65), p=0.004), there was no evidence of a significant difference in outcomes between settings. CONCLUSION: The preference of patients to participate in home-based and centre-based exercise programmes appears to be equivalent...

  17. Precision assessment of model-based RSA for a total knee prosthesis in a biplanar set-up.

    Science.gov (United States)

    Trozzi, C; Kaptein, B L; Garling, E H; Shelyakova, T; Russo, A; Bragonzoni, L; Martelli, S

    2008-10-01

    Model-based Roentgen Stereophotogrammetric Analysis (RSA) was recently developed for the measurement of prosthesis micromotion. Its main advantage is that markers do not need to be attached to the implants as traditional marker-based RSA requires. Model-based RSA has only been tested in uniplanar radiographic set-ups. A biplanar set-up would theoretically facilitate the pose estimation algorithm, since radiographic projections would show more different shape features of the implants than in uniplanar images. We tested the precision of model-based RSA and compared it with that of the traditional marker-based method in a biplanar set-up. Micromotions of both tibial and femoral components were measured with both the techniques from double examinations of patients participating in a clinical study. The results showed that in the biplanar set-up model-based RSA presents a homogeneous distribution of precision for all the translation directions, but an inhomogeneous error for rotations, especially internal-external rotation presented higher errors than rotations about the transverse and sagittal axes. Model-based RSA was less precise than the marker-based method, although the differences were not significant for the translations and rotations of the tibial component, with the exception of the internal-external rotations. For both prosthesis components the precisions of model-based RSA were below 0.2 mm for all the translations, and below 0.3 degrees for rotations about transverse and sagittal axes. These values are still acceptable for clinical studies aimed at evaluating total knee prosthesis micromotion. In a biplanar set-up model-based RSA is a valid alternative to traditional marker-based RSA where marking of the prosthesis is an enormous disadvantage.

  18. Multi-Attribute Decision-Making Based on Bonferroni Mean Operators under Cubic Intuitionistic Fuzzy Set Environment

    Directory of Open Access Journals (Sweden)

    Gagandeep Kaur

    2018-01-01

    Full Text Available Cubic intuitionistic fuzzy (CIF set is the hybrid set which can contain much more information to express an interval-valued intuitionistic fuzzy set and an intuitionistic fuzzy set simultaneously for handling the uncertainties in the data. Unfortunately, there has been no research on the aggregation operators on CIF sets so far. Since an aggregation operator is an important mathematical tool in decision-making problems, the present paper proposes some new Bonferroni mean and weighted Bonferroni mean averaging operators between the cubic intuitionistic fuzzy numbers for aggregating the different preferences of the decision-maker. Then, we develop a decision-making method based on the proposed operators under the cubic intuitionistic fuzzy environment and illustrated with a numerical example. Finally, a comparison analysis between the proposed and the existing approaches have been performed to illustrate the applicability and feasibility of the developed decision-making method.

  19. Study on intelligence fault diagnosis method for nuclear power plant equipment based on rough set and fuzzy neural network

    International Nuclear Information System (INIS)

    Liu Yongkuo; Xia Hong; Xie Chunli; Chen Zhihui; Chen Hongxia

    2007-01-01

    Rough set theory and fuzzy neural network are combined, to take full advantages of the two of them. Based on the reduction technology to knowledge of Rough set method, and by drawing the simple rule from a large number of initial data, the fuzzy neural network was set up, which was with better topological structure, improved study speed, accurate judgment, strong fault-tolerant ability, and more practical. In order to test the validity of the method, the inverted U-tubes break accident of Steam Generator and etc are used as examples, and many simulation experiments are performed. The test result shows that it is feasible to incorporate the fault intelligence diagnosis method based on rough set and fuzzy neural network in the nuclear power plant equipment, and the method is simple and convenience, with small calculation amount and reliable result. (authors)

  20. SU-F-T-78: Minimum Data Set of Measurements for TG 71 Based Electron Monitor-Unit Calculations

    International Nuclear Information System (INIS)

    Xu, H; Guerrero, M; Prado, K; Yi, B

    2016-01-01

    Purpose: Building up a TG-71 based electron monitor-unit (MU) calculation protocol usually involves massive measurements. This work investigates a minimum data set of measurements and its calculation accuracy and measurement time. Methods: For 6, 9, 12, 16, and 20 MeV of our Varian Clinac-Series linear accelerators, the complete measurements were performed at different depth using 5 square applicators (6, 10, 15, 20 and 25 cm) with different cutouts (2, 3, 4, 6, 10, 15 and 20 cm up to applicator size) for 5 different SSD’s. For each energy, there were 8 PDD scans and 150 point measurements for applicator factors, cutout factors and effective SSDs that were then converted to air-gap factors for SSD 99–110cm. The dependence of each dosimetric quantity on field size and SSD was examined to determine the minimum data set of measurements as a subset of the complete measurements. The “missing” data excluded in the minimum data set were approximated by linear or polynomial fitting functions based on the included data. The total measurement time and the calculated electron MU using the minimum and the complete data sets were compared. Results: The minimum data set includes 4 or 5 PDD’s and 51 to 66 point measurements for each electron energy, and more PDD’s and fewer point measurements are generally needed as energy increases. Using only <50% of complete measurement time, the minimum data set generates acceptable MU calculation results compared to those with the complete data set. The PDD difference is within 1 mm and the calculated MU difference is less than 1.5%. Conclusion: Data set measurement for TG-71 electron MU calculations can be minimized based on the knowledge of how each dosimetric quantity depends on various setup parameters. The suggested minimum data set allows acceptable MU calculation accuracy and shortens measurement time by a few hours.

  1. SU-F-T-78: Minimum Data Set of Measurements for TG 71 Based Electron Monitor-Unit Calculations

    Energy Technology Data Exchange (ETDEWEB)

    Xu, H; Guerrero, M; Prado, K; Yi, B [University of Maryland School of Medicine, Baltimore, MD (United States)

    2016-06-15

    Purpose: Building up a TG-71 based electron monitor-unit (MU) calculation protocol usually involves massive measurements. This work investigates a minimum data set of measurements and its calculation accuracy and measurement time. Methods: For 6, 9, 12, 16, and 20 MeV of our Varian Clinac-Series linear accelerators, the complete measurements were performed at different depth using 5 square applicators (6, 10, 15, 20 and 25 cm) with different cutouts (2, 3, 4, 6, 10, 15 and 20 cm up to applicator size) for 5 different SSD’s. For each energy, there were 8 PDD scans and 150 point measurements for applicator factors, cutout factors and effective SSDs that were then converted to air-gap factors for SSD 99–110cm. The dependence of each dosimetric quantity on field size and SSD was examined to determine the minimum data set of measurements as a subset of the complete measurements. The “missing” data excluded in the minimum data set were approximated by linear or polynomial fitting functions based on the included data. The total measurement time and the calculated electron MU using the minimum and the complete data sets were compared. Results: The minimum data set includes 4 or 5 PDD’s and 51 to 66 point measurements for each electron energy, and more PDD’s and fewer point measurements are generally needed as energy increases. Using only <50% of complete measurement time, the minimum data set generates acceptable MU calculation results compared to those with the complete data set. The PDD difference is within 1 mm and the calculated MU difference is less than 1.5%. Conclusion: Data set measurement for TG-71 electron MU calculations can be minimized based on the knowledge of how each dosimetric quantity depends on various setup parameters. The suggested minimum data set allows acceptable MU calculation accuracy and shortens measurement time by a few hours.

  2. DERIVATIVE OF SET MEASURE FUNCTIONS AND ITS APPLICATION (THEORETICAL BASES OF INVESTMENT OBJECTIVES

    Directory of Open Access Journals (Sweden)

    A. A. Bosov

    2014-04-01

    Full Text Available Purpose. It is necessary to develop the theoretical fundamentals for solving the investment objectives presented in the form of set function as vector optimization tasks or tasks of constrained extremum. Methodology. Set functions and their derivatives of measure are used as research of investment objectives. Necessary condition of set function minimum is proved. In the tasks for constrained extremum the method of Lagrange is used. It is shown that this method can also be used for the set function. It is used the measure for proof, which generalizes the Lebesgue measure, and the concept of set sequence limit is introduced. It is noted that the introduced limit over a measure coincides with the classical Borel limit and can be used in order to prove the existence of derivative from set function over a measure on convergent of sets sequence. Findings. An algorithm of solving the investment objective for constrained extremum in relation to investment objectives was offered. Originality. Scientific novelty lies in the fact that in multivariate objects for constrained extremum one can refuse from immediate enumeration. One can use the proposed algorithm of constructing (selection of options that allow building a convex linear envelope of Pareto solutions. This envelope will let the person who makes a decision (DM, select those options that are "better" from a position of DM, and consider some of the criteria, the formalization of which are difficult or can not be described in mathematical terms. Practical value. Results of the study provide the necessary theoretical substantiation of decision-making in investment objectives, when there is a significant number of an investment objects and immediate enumeration of options is very difficult on time costs even for modern computing techniques.

  3. Research on Standard and Automatic Judgment of Press-fit Curve of Locomotive Wheel-set Based on AAR Standard

    Science.gov (United States)

    Lu, Jun; Xiao, Jun; Gao, Dong Jun; Zong, Shu Yu; Li, Zhu

    2018-03-01

    In the production of the Association of American Railroads (AAR) locomotive wheel-set, the press-fit curve is the most important basis for the reliability of wheel-set assembly. In the past, Most of production enterprises mainly use artificial detection methods to determine the quality of assembly. There are cases of miscarriage of justice appear. For this reason, the research on the standard is carried out. And the automatic judgment of press-fit curve is analysed and designed, so as to provide guidance for the locomotive wheel-set production based on AAR standard.

  4. Expanding HIV testing efforts in concentrated epidemic settings: a population-based survey from rural Vietnam.

    Directory of Open Access Journals (Sweden)

    Anastasia Pharris

    Full Text Available BACKGROUND: To improve HIV prevention and care programs, it is important to understand the uptake of HIV testing and to identify population segments in need of increased HIV testing. This is particularly crucial in countries with concentrated HIV epidemics, where HIV prevalence continues to rise in the general population. This study analyzes determinants of HIV testing in a rural Vietnamese population in order to identify potential access barriers and areas for promoting HIV testing services. METHODS: A population-based cross-sectional survey of 1874 randomly sampled adults was linked to pregnancy, migration and economic cohort data from a demographic surveillance site (DSS. Multivariate logistic regression analysis was used to determine which factors were associated with having tested for HIV. RESULTS: The age-adjusted prevalence of ever-testing for HIV was 7.6%; however 79% of those who reported feeling at-risk of contracting HIV had never tested. In multivariate analysis, younger age (aOR 1.85, 95% CI 1.14-3.01, higher economic status (aOR 3.4, 95% CI 2.21-5.22, and semi-urban residence (aOR 2.37, 95% CI 1.53-3.66 were associated with having been tested for HIV. HIV testing rates did not differ between women of reproductive age who had recently been pregnant and those who had not. CONCLUSIONS: We found low testing uptake (6% among pregnant women despite an existing prevention of mother-to-child HIV testing policy, and lower-than-expected testing among persons who felt that they were at-risk of HIV. Poverty and residence in a more geographically remote location were associated with less HIV testing. In addition to current HIV testing strategies focusing on high-risk groups, we recommend targeting HIV testing in concentrated HIV epidemic settings to focus on a scaled-up provision of antenatal testing. Additional recommendations include removing financial and geographic access barriers to client-initiated testing, and encouraging provider

  5. Expanding HIV testing efforts in concentrated epidemic settings: a population-based survey from rural Vietnam.

    Science.gov (United States)

    Pharris, Anastasia; Nguyen, Thi Kim Chuc; Tishelman, Carol; Brugha, Ruairí; Nguyen, Phuong Hoa; Thorson, Anna

    2011-01-11

    To improve HIV prevention and care programs, it is important to understand the uptake of HIV testing and to identify population segments in need of increased HIV testing. This is particularly crucial in countries with concentrated HIV epidemics, where HIV prevalence continues to rise in the general population. This study analyzes determinants of HIV testing in a rural Vietnamese population in order to identify potential access barriers and areas for promoting HIV testing services. A population-based cross-sectional survey of 1874 randomly sampled adults was linked to pregnancy, migration and economic cohort data from a demographic surveillance site (DSS). Multivariate logistic regression analysis was used to determine which factors were associated with having tested for HIV. The age-adjusted prevalence of ever-testing for HIV was 7.6%; however 79% of those who reported feeling at-risk of contracting HIV had never tested. In multivariate analysis, younger age (aOR 1.85, 95% CI 1.14-3.01), higher economic status (aOR 3.4, 95% CI 2.21-5.22), and semi-urban residence (aOR 2.37, 95% CI 1.53-3.66) were associated with having been tested for HIV. HIV testing rates did not differ between women of reproductive age who had recently been pregnant and those who had not. We found low testing uptake (6%) among pregnant women despite an existing prevention of mother-to-child HIV testing policy, and lower-than-expected testing among persons who felt that they were at-risk of HIV. Poverty and residence in a more geographically remote location were associated with less HIV testing. In addition to current HIV testing strategies focusing on high-risk groups, we recommend targeting HIV testing in concentrated HIV epidemic settings to focus on a scaled-up provision of antenatal testing. Additional recommendations include removing financial and geographic access barriers to client-initiated testing, and encouraging provider-initiated testing of those who believe that they are at-risk of

  6. A probabilistic Poisson-based model accounts for an extensive set of absolute auditory threshold measurements.

    Science.gov (United States)

    Heil, Peter; Matysiak, Artur; Neubauer, Heinrich

    2017-09-01

    Thresholds for detecting sounds in quiet decrease with increasing sound duration in every species studied. The neural mechanisms underlying this trade-off, often referred to as temporal integration, are not fully understood. Here, we probe the human auditory system with a large set of tone stimuli differing in duration, shape of the temporal amplitude envelope, duration of silent gaps between bursts, and frequency. Duration was varied by varying the plateau duration of plateau-burst (PB) stimuli, the duration of the onsets and offsets of onset-offset (OO) stimuli, and the number of identical bursts of multiple-burst (MB) stimuli. Absolute thresholds for a large number of ears (>230) were measured using a 3-interval-3-alternative forced choice (3I-3AFC) procedure. Thresholds decreased with increasing sound duration in a manner that depended on the temporal envelope. Most commonly, thresholds for MB stimuli were highest followed by thresholds for OO and PB stimuli of corresponding durations. Differences in the thresholds for MB and OO stimuli and in the thresholds for MB and PB stimuli, however, varied widely across ears, were negative in some ears, and were tightly correlated. We show that the variation and correlation of MB-OO and MB-PB threshold differences are linked to threshold microstructure, which affects the relative detectability of the sidebands of the MB stimuli and affects estimates of the bandwidth of auditory filters. We also found that thresholds for MB stimuli increased with increasing duration of the silent gaps between bursts. We propose a new model and show that it accurately accounts for our results and does so considerably better than a leaky-integrator-of-intensity model and a probabilistic model proposed by others. Our model is based on the assumption that sensory events are generated by a Poisson point process with a low rate in the absence of stimulation and higher, time-varying rates in the presence of stimulation. A subject in a 3I-3AFC

  7. Epiphytic bryozoans on Neptune grass - a sample-based data set.

    Science.gov (United States)

    Lepoint, Gilles; Heughebaert, André; Michel, Loïc N

    2016-01-01

    The seagrass Posidonia oceanica L. Delile, commonly known as Neptune grass, is an endemic species of the Mediterranean Sea. It hosts a distinctive and diverse epiphytic community, dominated by various macroalgal and animal organisms. Mediterranean bryozoans have been extensively studied but quantitative data assessing temporal and spatial variability have rarely been documented. In Lepoint et al. (2014a, b) occurrence and abundance data of epiphytic bryozoan communities on leaves of Posidonia oceanica inhabiting Revellata Bay (Corsica, Mediterranean Sea) were reported and trophic ecology of Electra posidoniae Gautier assessed. Here, metadata information is provided on the data set discussed in Lepoint et al. (2014a) and published on the GBIF portal as a sampling-event data set: http://ipt.biodiversity.be/resource?r=ulg_bryozoa&v=1.0). The data set is enriched by data concerning species settled on Posidonia scales (dead petiole of Posidonia leaves, remaining after limb abscission).

  8. The Dynamic Evaluation of Enterprise's Strategy Based on Rough Set Theory

    Institute of Scientific and Technical Information of China (English)

    刘恒江; 陈继祥

    2003-01-01

    This paper presents dynamic evaluation of enterprise's strategy which is suitable for dealing with the complex and dynamic problems of strategic evaluation. Rough Set Theory is a powerful mathematical tool to handle vagueness and uncertainty of dynamic evaluation. By the application of Rough Set Theory, this paper computes the significance and weights of each evaluation criterion and helps to lay evaluation emphasis on the main and effective criteria. From the reduced decision table,evaluators can get decision rules Which direct them to give judgment or suggestion of strategy. The whole evaluation process is decided by data, so the results are certain and reasonable.

  9. Correlations and texture in a new model hierarchical universe based upon trema sets

    Energy Technology Data Exchange (ETDEWEB)

    Mandelbrot, Benoit [International Business Machines Corp., Yorktown Heights, NY (USA)

    1979-01-08

    A trema set is constructed by cutting out of space a collection of random holes, to be called tremas. When the distribution of hole volumes is scaling, the trema set is a scaling fractal; its main parameter is a fractal dimension. This paper reports the correlations between 2 to 5 points in space, and between 2 to 4 directions in the sky. Thus a new parameter is introduced, to be called mean texture. Numerical and visual compararison with the data concerning galaxy distributions reveals an unexpectedly excellent fit.

  10. An Exponential Combination Procedure for Set-Based Association Tests in Sequencing Studies

    OpenAIRE

    Chen, Lin S.; Hsu, Li; Gamazon, Eric R.; Cox, Nancy J.; Nicolae, Dan L.

    2012-01-01

    State-of-the-art next-generation-sequencing technologies can facilitate in-depth explorations of the human genome by investigating both common and rare variants. For the identification of genetic factors that are associated with disease risk or other complex phenotypes, methods have been proposed for jointly analyzing variants in a set (e.g., all coding SNPs in a gene). Variants in a properly defined set could be associated with risk or phenotype in a concerted fashion, and by accumulating in...

  11. A Data Set of Portuguese Traditional Recipes Based on Published Cookery Books

    Directory of Open Access Journals (Sweden)

    Alexandra Soveral Dias

    2018-03-01

    Full Text Available This paper presents a data set resulting from the abstraction of books of traditional recipes for Portuguese cuisine. Only starters, main courses, side dishes, and soups were considered. Desserts, cakes, sweets, puddings, and pastries were not included. Recipes were characterized by the province and ingredients regardless of quantities or preparation. An exploratory characterization of recipes and ingredients is presented. Results show that Portuguese traditional recipes organize differently among the eleven provinces considered, setting up the basis for more detailed analyses of the 1382 recipes and 421 ingredients inventoried.

  12. A SEMI-AUTOMATIC RULE SET BUILDING METHOD FOR URBAN LAND COVER CLASSIFICATION BASED ON MACHINE LEARNING AND HUMAN KNOWLEDGE

    Directory of Open Access Journals (Sweden)

    H. Y. Gu

    2017-09-01

    Full Text Available Classification rule set is important for Land Cover classification, which refers to features and decision rules. The selection of features and decision are based on an iterative trial-and-error approach that is often utilized in GEOBIA, however, it is time-consuming and has a poor versatility. This study has put forward a rule set building method for Land cover classification based on human knowledge and machine learning. The use of machine learning is to build rule sets effectively which will overcome the iterative trial-and-error approach. The use of human knowledge is to solve the shortcomings of existing machine learning method on insufficient usage of prior knowledge, and improve the versatility of rule sets. A two-step workflow has been introduced, firstly, an initial rule is built based on Random Forest and CART decision tree. Secondly, the initial rule is analyzed and validated based on human knowledge, where we use statistical confidence interval to determine its threshold. The test site is located in Potsdam City. We utilised the TOP, DSM and ground truth data. The results show that the method could determine rule set for Land Cover classification semi-automatically, and there are static features for different land cover classes.

  13. An unbiased method to build benchmarking sets for ligand-based virtual screening and its application to GPCRs.

    Science.gov (United States)

    Xia, Jie; Jin, Hongwei; Liu, Zhenming; Zhang, Liangren; Wang, Xiang Simon

    2014-05-27

    Benchmarking data sets have become common in recent years for the purpose of virtual screening, though the main focus had been placed on the structure-based virtual screening (SBVS) approaches. Due to the lack of crystal structures, there is great need for unbiased benchmarking sets to evaluate various ligand-based virtual screening (LBVS) methods for important drug targets such as G protein-coupled receptors (GPCRs). To date these ready-to-apply data sets for LBVS are fairly limited, and the direct usage of benchmarking sets designed for SBVS could bring the biases to the evaluation of LBVS. Herein, we propose an unbiased method to build benchmarking sets for LBVS and validate it on a multitude of GPCRs targets. To be more specific, our methods can (1) ensure chemical diversity of ligands, (2) maintain the physicochemical similarity between ligands and decoys, (3) make the decoys dissimilar in chemical topology to all ligands to avoid false negatives, and (4) maximize spatial random distribution of ligands and decoys. We evaluated the quality of our Unbiased Ligand Set (ULS) and Unbiased Decoy Set (UDS) using three common LBVS approaches, with Leave-One-Out (LOO) Cross-Validation (CV) and a metric of average AUC of the ROC curves. Our method has greatly reduced the "artificial enrichment" and "analogue bias" of a published GPCRs benchmarking set, i.e., GPCR Ligand Library (GLL)/GPCR Decoy Database (GDD). In addition, we addressed an important issue about the ratio of decoys per ligand and found that for a range of 30 to 100 it does not affect the quality of the benchmarking set, so we kept the original ratio of 39 from the GLL/GDD.

  14. Keefektifan setting TPS dalam pendekatan discovery learning dan problem-based learning pada pembelajaran materi lingkaran SMP

    Directory of Open Access Journals (Sweden)

    Rahmi Hidayati

    2017-05-01

    The purpose of this study was to describe the effectiveness of setting Think Pair Share (TPS in the approach to discovery learning and problem-based learning in terms of student achievement, mathematical communication skills, and interpersonal skills of the student.  This study was a quasi-experimental study using the pretest-posttest nonequivalent group design. The research population comprised all Year VIII students of SMP Negeri 1 Yogyakarta. The research sample was randomly selected from eight classes, two classes were elected. The instrument used in this study is the learning achievement test, a test of mathematical communication skills, and interpersonal skills student questionnaires. To test the effectiveness of setting Think Pair Share (TPS in the approach to discovery learning and problem-based learning, the one sample t-test was carried out. Then, to investigate the difference in effectiveness between the setting Think Pair Share (TPS in the approach to discovery learning and problem-based learning, the Multivariate Analysis of Variance (MANOVA was carried out. The research findings indicate that the setting TPS discovery approach to learning and problem-based approach to learning (PBL is effective in terms of learning achievement, mathematical communication skills, and interpersonal skills of the students. No difference in effectiveness between setting TPS discovery approach to learning and problem-based learning (PBL in terms of learning achievement, mathematical communication skills, and interpersonal skills of the students. Keywords: TPS setting in discovery learning approach, in problem-based learning, academic achievement, mathematical communication skills, and interpersonal skills of the student

  15. Entropy Based Feature Selection for Fuzzy Set-Valued Information Systems

    Science.gov (United States)

    Ahmed, Waseem; Sufyan Beg, M. M.; Ahmad, Tanvir

    2018-06-01

    In Set-valued Information Systems (SIS), several objects contain more than one value for some attributes. Tolerance relation used for handling SIS sometimes leads to loss of certain information. To surmount this problem, fuzzy rough model was introduced. However, in some cases, SIS may contain some real or continuous set-values. Therefore, the existing fuzzy rough model for handling Information system with fuzzy set-values needs some changes. In this paper, Fuzzy Set-valued Information System (FSIS) is proposed and fuzzy similarity relation for FSIS is defined. Yager's relative conditional entropy was studied to find the significance measure of a candidate attribute of FSIS. Later, using these significance values, three greedy forward algorithms are discussed for finding the reduct and relative reduct for the proposed FSIS. An experiment was conducted on a sample population of the real dataset and a comparison of classification accuracies of the proposed FSIS with the existing SIS and single-valued Fuzzy Information Systems was made, which demonstrated the effectiveness of proposed FSIS.

  16. Fault Diagnosis for a Multistage Planetary Gear Set Using Model-Based Simulation and Experimental Investigation

    Directory of Open Access Journals (Sweden)

    Guoyan Li

    2016-01-01

    Full Text Available The gear damage will induce modulation effects in vibration signals. A thorough analysis of modulation sidebands spectral structure is necessary for fault diagnosis of planetary gear set. However, the spectral characteristics are complicated in practice, especially for a multistage planetary gear set which contains close frequency components. In this study, a coupled lateral and torsional dynamic model is established to predict the modulation sidebands of a two-stage compound planetary gear set. An improved potential energy method is used to calculate the time-varying mesh stiffness of each gear pair, and the influence of crack propagation on the mesh stiffness is analyzed. The simulated signals of the gear set are obtained by using Runge-Kutta numerical analysis method. Meanwhile, the sidebands characteristics are summarized to exhibit the modulation effects caused by sun gear damage. At the end, the experimental signals collected from an industrial SD16 planetary gearbox are analyzed to verify the theoretical derivations. The results of experiment agree well with the simulated analysis.

  17. Training a whole-book LSTM-based recognizer with an optimal training set

    Science.gov (United States)

    Soheili, Mohammad Reza; Yousefi, Mohammad Reza; Kabir, Ehsanollah; Stricker, Didier

    2018-04-01

    Despite the recent progress in OCR technologies, whole-book recognition, is still a challenging task, in particular in case of old and historical books, that the unknown font faces or low quality of paper and print contributes to the challenge. Therefore, pre-trained recognizers and generic methods do not usually perform up to required standards, and usually the performance degrades for larger scale recognition tasks, such as of a book. Such reportedly low error-rate methods turn out to require a great deal of manual correction. Generally, such methodologies do not make effective use of concepts such redundancy in whole-book recognition. In this work, we propose to train Long Short Term Memory (LSTM) networks on a minimal training set obtained from the book to be recognized. We show that clustering all the sub-words in the book, and using the sub-word cluster centers as the training set for the LSTM network, we can train models that outperform any identical network that is trained with randomly selected pages of the book. In our experiments, we also show that although the sub-word cluster centers are equivalent to about 8 pages of text for a 101- page book, a LSTM network trained on such a set performs competitively compared to an identical network that is trained on a set of 60 randomly selected pages of the book.

  18. POF based smart sensor for studying the setting dynamics of cement paste

    International Nuclear Information System (INIS)

    Rajesh, M; Sheeba, M; Nampoori, V P N

    2007-01-01

    Fiber optic smart sensors are used to monitor the civil structures. One of the important parameters in civil engineering is the setting characteristics of concrete made of cement. The paper discusses how a simple polymer optical fiber can be used to characterise the setting dynamics of various grades of cement. The results explain the comparative performance of polymer fiber over silica fiber. The basic principle underlying the sensor is that as the cement sets, it exerts a stress on the sensing fiber, which is laid within the cement paste. This stress induces strain on the optical fiber, which can be thought of as a series of aperiodic microbends on the surface of the fiber. This in turn changes the characteristics of the light signal transmitted through the fiber and can be viewed as stress induced modulation of light in the fiber. By monitoring the intensity variation of transmitted light signal with time we can determine the cement setting rate. This can be used as an effective tool for quality testing of commercially available cements of different grades

  19. An individual-based modeling approach to simulating recreation use in wilderness settings

    Science.gov (United States)

    Randy Gimblett; Terry Daniel; Michael J. Meitner

    2000-01-01

    Landscapes protect biological diversity and provide unique opportunities for human-nature interactions. Too often, these desirable settings suffer from extremely high visitation. Given the complexity of social, environmental and economic interactions, resource managers need tools that provide insights into the cause and effect relationships between management actions...

  20. Innovations in Setting Performance Standards for K-12 Test-Based Accountability

    Science.gov (United States)

    Huff, Kristen; Plake, Barbara S.

    2010-01-01

    Standard setting is a systematic process that uses a combination of judgmental and empirical procedures to make recommendations about where on the score continuum "cut scores" should be placed. Cut scores divide the score scale into categories consistent with the descriptions of student performance associated with multiple levels of achievement.…

  1. Cross-sectional evaluation of an internet-based hearing screening test in an occupational setting

    NARCIS (Netherlands)

    Sheikh Rashid, Marya; Leensen, Monique Cj; de Laat, Jan Apm; Dreschler, Wouter A.

    2017-01-01

    Objectives The Occupational Earcheck (OEC) is an online internet test to detect high-frequency hearing loss for the purposes of occupational hearing screening. In this study, we evaluated the OEC in an occupational setting in order to assess test sensitivity, specificity, and validity. Methods A

  2. Setting analytical performance specifications based on outcome studies - is it possible?

    NARCIS (Netherlands)

    Horvath, Andrea Rita; Bossuyt, Patrick M. M.; Sandberg, Sverre; John, Andrew St; Monaghan, Phillip J.; Verhagen-Kamerbeek, Wilma D. J.; Lennartz, Lieselotte; Cobbaert, Christa M.; Ebert, Christoph; Lord, Sarah J.

    2015-01-01

    The 1st Strategic Conference of the European Federation of Clinical Chemistry and Laboratory Medicine proposed a simplified hierarchy for setting analytical performance specifications (APS). The top two levels of the 1999 Stockholm hierarchy, i.e., evaluation of the effect of analytical performance

  3. An intelligent hybrid scheme for optimizing parking space: A Tabu metaphor and rough set based approach

    Directory of Open Access Journals (Sweden)

    Soumya Banerjee

    2011-03-01

    Full Text Available Congested roads, high traffic, and parking problems are major concerns for any modern city planning. Congestion of on-street spaces in official neighborhoods may give rise to inappropriate parking areas in office and shopping mall complex during the peak time of official transactions. This paper proposes an intelligent and optimized scheme to solve parking space problem for a small city (e.g., Mauritius using a reactive search technique (named as Tabu Search assisted by rough set. Rough set is being used for the extraction of uncertain rules that exist in the databases of parking situations. The inclusion of rough set theory depicts the accuracy and roughness, which are used to characterize uncertainty of the parking lot. Approximation accuracy is employed to depict accuracy of a rough classification [1] according to different dynamic parking scenarios. And as such, the hybrid metaphor proposed comprising of Tabu Search and rough set could provide substantial research directions for other similar hard optimization problems.

  4. RAPD and SSR based genetic diversity analysis of elite-2 set of ...

    African Journals Online (AJOL)

    Background: Synthetic hexaploid wheats are artificially reconstituted hexaploid wheats that possess high genetic variation which could be utilized for the development of new improved wheat varieties. One such group of synthetic wheats is called the Elite-II set of synthetic wheats that are derived from crossing durum wheat ...

  5. Application of physiologically based pharmacokinetic modeling in setting acute exposure guideline levels for methylene chloride.

    NARCIS (Netherlands)

    Bos, Peter Martinus Jozef; Zeilmaker, Marco Jacob; Eijkeren, Jan Cornelis Henri van

    2006-01-01

    Acute exposure guideline levels (AEGLs) are derived to protect the human population from adverse health effects in case of single exposure due to an accidental release of chemicals into the atmosphere. AEGLs are set at three different levels of increasing toxicity for exposure durations ranging from

  6. A support vector machine based test for incongruence between sets of trees in tree space

    Science.gov (United States)

    2012-01-01

    Background The increased use of multi-locus data sets for phylogenetic reconstruction has increased the need to determine whether a set of gene trees significantly deviate from the phylogenetic patterns of other genes. Such unusual gene trees may have been influenced by other evolutionary processes such as selection, gene duplication, or horizontal gene transfer. Results Motivated by this problem we propose a nonparametric goodness-of-fit test for two empirical distributions of gene trees, and we developed the software GeneOut to estimate a p-value for the test. Our approach maps trees into a multi-dimensional vector space and then applies support vector machines (SVMs) to measure the separation between two sets of pre-defined trees. We use a permutation test to assess the significance of the SVM separation. To demonstrate the performance of GeneOut, we applied it to the comparison of gene trees simulated within different species trees across a range of species tree depths. Applied directly to sets of simulated gene trees with large sample sizes, GeneOut was able to detect very small differences between two set of gene trees generated under different species trees. Our statistical test can also include tree reconstruction into its test framework through a variety of phylogenetic optimality criteria. When applied to DNA sequence data simulated from different sets of gene trees, results in the form of receiver operating characteristic (ROC) curves indicated that GeneOut performed well in the detection of differences between sets of trees with different distributions in a multi-dimensional space. Furthermore, it controlled false positive and false negative rates very well, indicating a high degree of accuracy. Conclusions The non-parametric nature of our statistical test provides fast and efficient analyses, and makes it an applicable test for any scenario where evolutionary or other factors can lead to trees with different multi-dimensional distributions. The

  7. Continuous monitoring of the zinc-phosphate acid-base cement setting reaction by proton nuclear magnetic relaxation

    International Nuclear Information System (INIS)

    Apih, T.; Lebar, A.; Pawlig, O.; Trettin, R.

    2001-01-01

    Proton nuclear magnetic relaxation is a well-established technique for continuous and non destructive monitoring of hydration of conventional Portland building cements. Here, we demonstrate the feasibility of nuclear magnetic resonance (NMR) monitoring of the setting reaction of zinc-phosphate acid-base dental cements, which harden in minutes as compared to days, as in the case of Portland cements. We compare the setting of cement powder (mainly, zinc oxide) prepared with clinically used aluminum-modified orthophosphoric acid solution with the setting of a model system where cement powder is mixed with pure orthophosphoric acid solution. In contrast to previously published NMR studies of setting Portland cements, where a decrease of spin-lattice relaxation time is attributed to enhanced relaxation at the growing internal surface, spin-lattice relaxation time T 1 increases during the set of clinically used zinc-phosphate cement. Comparison of these results with a detailed study of diffusion, viscosity, and magnetic-field dispersion of T 1 in pure and aluminum-modified orthophosphoric acid demonstrates that the increase of T 1 in the setting cement is connected with the increase of molecular mobility in the residual phosphoric acid solution. Although not taken into account so far, such effects may also significantly influence the relaxation times in setting Portland cements, particularly when admixtures with an effect on water viscosity are used. [copyright] 2001 American Institute of Physics

  8. The frequency of outdoor play for preschool age children cared for at home-based child care settings.

    Science.gov (United States)

    Tandon, Pooja S; Zhou, Chuan; Christakis, Dimitri A

    2012-01-01

    Given that more than 34% of U.S. children are cared for in home-based child care settings and outdoor play is associated with physical activity and other health benefits, we sought to characterize the outdoor play frequency of preschoolers cared for at home-based child care settings and factors associated with outdoor play. Cross-sectional study of 1900 preschoolers (representing approximately 862,800 children) cared for in home-based child care settings (including relative and nonrelative care) using the nationally representative Early Childhood Longitudinal Study, Birth Cohort. Only 50% of home-based child care providers reported taking the child outside to walk or play at least once/day. More than one-third of all children did not go outside to play daily with either their parent(s) or home-based child care provider. There were increased odds of going outside daily for children cared for by nonrelatives in the child's home compared with care from a relative. Children with ≥3 regular playmates had greater odds of being taken outdoors by either the parents or child care provider. We did not find statistically significant associations between other child level (age, sex, screen-time), family level (highest education in household, mother's race, employment, exercise frequency), and child care level (hours in care, provider's educational attainment, perception of neighborhood safety) factors and frequency of outdoor play. At a national level, the frequency of outdoor play for preschoolers cared for in home-based child care settings is suboptimal. Further study and efforts to increase outdoor playtime for children in home-based child care settings are needed. Copyright © 2012 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.

  9. Estudio comparativo de microsutura vascular en ratas: punto simple y punto de colchonero horizontal Comparative study about vascular microsurgery on rats: classic interrupted suture versus horizontal mattress suture

    Directory of Open Access Journals (Sweden)

    C. Casado Sánchez

    2009-09-01

    Full Text Available La Microcirugía es la técnica empleada para la realización de la microanastomosis vascular. El objetivo del presente estudio es comparar dos tipos de técnicas de microsutura: los puntos simples clásicos, de empleo habitual en la microcirugía vascular, y los puntos de colchonero horizontales, no evaluados habitualmente para este tipo de cirugía. Fueron intervenidas 20 ratas albinas de la cepa Wistar (peso medio de 250 - 300 gr. bajo anestesia general; realizamos sección transversal en la arteria femoral, procediendo a su reparación microquirúrgica inmediata. Se establecieron 2 grupos de animales: en el grupo A (n=10, la microsutura se hizo mediante 6 puntos sueltos simples, y en el grupo B (n=10, empleando 3 puntos de colchonero horizontal. Comprobamos la patencia en el desclampado inmediato y tras una hora del desclampado (para ambas técnicas fue positiva en el 100% de los casos, y la hemorragia en ambos tiempos (se registró un único caso de sangrado en el postoperatorio inmediato en el grupo B, que requirió la revisión de la microsutura. El tiempo medio de ejecución de la sutura en el grupo B, 15 minutos aproximadamente, fue más corto que en el grupo A, 21 minutos aproximadamente, diferencia estadísticamente significativa (p Microsurgery is the procedure of choice for vascular microanastamoses. The objective of this study was to compare two types of suture techniques: classic interrupted suture anastomoses, commonly used for vascular anastamoses in microsurgery, and another technique using horizontal mattress sutures, rarely evaluated in this type of surgery. Twenty albino Wistar rats were operated (average weight: 250 - 300 gr. under general anaesthesia. A transverse section of the femoral artery was performed and immediately followed by an anastamoses. The animals were placed into two groups of ten. The classic 6 interrupted suture anastomoses technique was performed in group A (n = 10 and another technique using 3

  10. Antero-posterior (AP) pelvis x-ray imaging on a trolley: Impact of trolley design, mattress design and radiographer practice on image quality and radiation dose

    International Nuclear Information System (INIS)

    Tugwell, J.R.; England, A.; Hogg, P.

    2017-01-01

    Introduction: Physical and technical differences exist between imaging on an x-ray tabletop and imaging on a trolley. This study evaluates how trolley imaging impacts image quality and radiation dose for an antero-posterior (AP) pelvis projection whilst subsequently exploring means of optimising this imaging examination. Methods: An anthropomorphic pelvis phantom was imaged on a commercially available trolley under various conditions. Variables explored included two mattresses, two image receptor holder positions, three source to image distances (SIDs) and four mAs values. Image quality was evaluated using relative visual grading analysis with the reference image acquired on the x-ray tabletop. Contrast to noise ratio (CNR) was calculated. Effective dose was established using Monte Carlo simulation. Optimisation scores were derived as a figure of merit by dividing effective dose with visual image quality scores. Results: Visual image quality reduced significantly (p < 0.05) whilst effective dose increased significantly (p < 0.05) for images acquired on the trolley using identical acquisition parameters to the reference image. The trolley image with the highest optimisation score was acquired using 130 cm SID, 20 mAs, the standard mattress and platform not elevated. A difference of 12.8 mm was found between the image with the lowest and highest magnification factor (18%). Conclusion: The acquisition parameters used for AP pelvis on the x-ray tabletop are not transferable to trolley imaging and should be modified accordingly to compensate for the differences that exist. Exposure charts should be developed for trolley imaging to ensure optimal image quality at lowest possible dose. - Highlights: • Acquisition parameters used for AP pelvis imaging on a trolley need adapting from those used on the x-ray tabletop. • Radiation dose significantly increases for trolley imaging. • An increase in SID can reduce radiation dose and magnification for trolley imaging

  11. Factors contributing to evidence-based pressure ulcer prevention. A cross-sectional study.

    Science.gov (United States)

    Sving, Eva; Idvall, Ewa; Högberg, Hans; Gunningberg, Lena

    2014-05-01

    Implementation of evidence-based care for pressure ulcer prevention is lacking. As the hospital organization is complex, more knowledge is needed to understand how nursing care in this area can be improved. The present study investigated the associations between variables on different levels in the healthcare setting (patient, unit, hospital) and the documentation of (1) risk assessment and (2) skin assessment within 24h of admission, the use of (3) pressure-reducing mattresses and (4) planned repositioning in bed. A cross-sectional study. One university hospital and one general hospital. Geriatric (n=8), medical (n=24) and surgical (n=19) units. All adult patients (>17 years), in total 825, were included. A one-day prevalence study was conducted using the methodology specified by the European Pressure Ulcer Advisory Panel, together with the established methods used by the Collaborative Alliance for Nursing Outcomes. Independent variables were patient characteristics, hospital type, unit type, nurse staffing and workload. Dependent variables were documented risk and skin assessment within 24h of admission, pressure-reducing mattresses and planned repositioning in bed. The data were analysed with Logistic regression using the Generalized Estimating Equation (GEE) approach. Patients at risk of developing pressure ulcers (BradenPatient characteristics (high age and risk score) and hospital type were associated with pressure ulcer prevention. Surprisingly, nurse staffing played only a minor role. Leaders in healthcare organizations should establish routines on different levels that support evidence-based pressure ulcer prevention, and registered nurses need to assume responsibility for bedside care. Copyright © 2013 Elsevier Ltd. All rights reserved.

  12. Project Delivery System Mode Decision Based on Uncertain AHP and Fuzzy Sets

    Science.gov (United States)

    Kaishan, Liu; Huimin, Li

    2017-12-01

    The project delivery system mode determines the contract pricing type, project management mode and the risk allocation among all participants. Different project delivery system modes have different characteristics and applicable scope. For the owners, the selection of the delivery mode is the key point to decide whether the project can achieve the expected benefits, it relates to the success or failure of project construction. Under the precondition of comprehensively considering the influence factors of the delivery mode, the model of project delivery system mode decision was set up on the basis of uncertain AHP and fuzzy sets, which can well consider the uncertainty and fuzziness when conducting the index evaluation and weight confirmation, so as to rapidly and effectively identify the most suitable delivery mode according to project characteristics. The effectiveness of the model has been verified via the actual case analysis in order to provide reference for the construction project delivery system mode.

  13. Nonlinear analysis of vehicle control actuations based on controlled invariant sets

    Directory of Open Access Journals (Sweden)

    Németh Balázs

    2016-03-01

    Full Text Available In the paper, an analysis method is applied to the lateral stabilization problem of vehicle systems. The aim is to find the largest state-space region in which the lateral stability of the vehicle can be guaranteed by the peak-bounded control input. In the analysis, the nonlinear polynomial sum-of-squares programming method is applied. A practical computation technique is developed to calculate the maximum controlled invariant set of the system. The method calculates the maximum controlled invariant sets of the steering and braking control systems at various velocities and road conditions. Illustration examples show that, depending on the environments, different vehicle dynamic regions can be reached and stabilized by these controllers. The results can be applied to the theoretical basis of their interventions into the vehicle control system.

  14. Method research of fault diagnosis based on rough set for nuclear power plant

    International Nuclear Information System (INIS)

    Chen Zhihui; Xia Hong

    2005-01-01

    Nuclear power equipment fault feature is complicated and uncertain. Rough set theory can express and deal with vagueness and uncertainty, so that it can be introduced nuclear power fault diagnosis to analyze and process historical data to find rule of fault feature. Rough set theory treatment step: Data preprocessing, attribute reduction, attribute value reduction, rule generation. According to discernibility matrix definition and nature, we can utilize discernibility matrix in reduction algorithm that make attribute and attribute value reduction, so that it can minish algorithmic complication and simplify programming. This algorithm is applied to the nuclear power fault diagnosis to generate rules of diagnosis. Using these rules, we have diagnosed five kinds of model faults correctly. (authors)

  15. Intelligent fault diagnosis of rolling bearing based on kernel neighborhood rough sets and statistical features

    Energy Technology Data Exchange (ETDEWEB)

    Zhu, Xiao Ran; Zhang, You Yun; Zhu, Yong Sheng [Xi' an Jiaotong Univ., Xi' an (China)

    2012-09-15

    Intelligent fault diagnosis benefits from efficient feature selection. Neighborhood rough sets are effective in feature selection. However, determining the neighborhood value accurately remains a challenge. The wrapper feature selection algorithm is designed by combining the kernel method and neighborhood rough sets to self-adaptively select sensitive features. The combination effectively solves the shortcomings in selecting the neighborhood value in the previous application process. The statistical features of time and frequency domains are used to describe the characteristic of the rolling bearing to make the intelligent fault diagnosis approach work. Three classification algorithms, namely, classification and regression tree (CART), commercial version 4.5 (C4.5), and radial basis function support vector machines (RBFSVM), are used to test UCI datasets and 10 fault datasets of rolling bearing. The results indicate that the diagnostic approach presented could effectively select the sensitive fault features and simultaneously identify the type and degree of the fault.

  16. Intelligent fault diagnosis of rolling bearing based on kernel neighborhood rough sets and statistical features

    International Nuclear Information System (INIS)

    Zhu, Xiao Ran; Zhang, You Yun; Zhu, Yong Sheng

    2012-01-01

    Intelligent fault diagnosis benefits from efficient feature selection. Neighborhood rough sets are effective in feature selection. However, determining the neighborhood value accurately remains a challenge. The wrapper feature selection algorithm is designed by combining the kernel method and neighborhood rough sets to self-adaptively select sensitive features. The combination effectively solves the shortcomings in selecting the neighborhood value in the previous application process. The statistical features of time and frequency domains are used to describe the characteristic of the rolling bearing to make the intelligent fault diagnosis approach work. Three classification algorithms, namely, classification and regression tree (CART), commercial version 4.5 (C4.5), and radial basis function support vector machines (RBFSVM), are used to test UCI datasets and 10 fault datasets of rolling bearing. The results indicate that the diagnostic approach presented could effectively select the sensitive fault features and simultaneously identify the type and degree of the fault

  17. Research of Strategic Alliance Stable Decision-making Model Based on Rough Set and DEA

    OpenAIRE

    Zhang Yi

    2013-01-01

    This article uses rough set theory for stability evaluation system of strategic alliance at first. Uses data analysis method for reduction, eliminates redundant indexes. Selected 6 enterprises as a decision-making unit, then select 4 inputs and 2 outputs indexes data, using DEA model to calculate, analysis reasons for poor benefit of decision-making unit, find out improvement direction and quantity for changing, provide a reference for the alliance stability.

  18. An EQ-5D-5L value set based on Uruguayan population preferences.

    Science.gov (United States)

    Augustovski, Federico; Rey-Ares, Lucila; Irazola, Vilma; Garay, Osvaldo Ulises; Gianneo, Oscar; Fernández, Graciela; Morales, Marcelo; Gibbons, Luz; Ramos-Goñi, Juan Manuel

    2016-02-01

    To derive a value set from Uruguayan general population using the EQ-5D-5L questionnaire and report population norms. General population individuals were randomly assigned to value 10 health states using composite time trade off and 7 pairs of health states through discrete choice experiments. A stratified sampling with quotas by location, gender, age and socio-economic status was used to respect the Uruguayan population structure. Trained interviewers conducted face-to-face interviews. The EuroQol valuation technology was used to administer the protocol as well as to collect the data. OLS and maximum likelihood robust regression models with or without interactions were tested. We included 794 respondents between 20 and 83 years. Their characteristics were broadly similar to the Uruguayan population. The main effects robust model was chosen to derive social values. Values ranged from -0.264 to 1. States with a misery index = 6 had a mean predicted value of 0.965. When comparing the Uruguayan population with the Argentinian EQ-5D-5L crosswalk value set, the prediction for states which differed from full health only in having one of the dimensions at level 2 were about 0.05 higher in Uruguay. The mean index value, using the selected Uruguayan EQ-5D-5L value set, for the general population in Uruguay was 0.895. In general, older people had worse values and males had slightly better values than females. We derived the EQ-5D-5L Uruguayan value set, the first in Latin America. These results will help inform decision-making using economic evaluations for resource allocation decisions.

  19. Set-Based Design: Fleet Architecture and Design 2030-2035

    Science.gov (United States)

    2017-12-01

    computers communications control and collaborations intelligence C&D command and decision CAP capability CLG light carrier group CG guided missile...thresholds of high-end conflict, but nonetheless exploit the weakness of accepted norms in space, cyber and the electromagnetic spectrum. The Russian...North Korea), IRIN (Iran) and other aggressive but fiscally constrained countries. b. Requirements Derivation: This Set traces its roots from the

  20. Outsourcing Set Intersection Computation Based on Bloom Filter for Privacy Preservation in Multimedia Processing

    Directory of Open Access Journals (Sweden)

    Hongliang Zhu

    2018-01-01

    Full Text Available With the development of cloud computing, the advantages of low cost and high computation ability meet the demands of complicated computation of multimedia processing. Outsourcing computation of cloud could enable users with limited computing resources to store and process distributed multimedia application data without installing multimedia application software in local computer terminals, but the main problem is how to protect the security of user data in untrusted public cloud services. In recent years, the privacy-preserving outsourcing computation is one of the most common methods to solve the security problems of cloud computing. However, the existing computation cannot meet the needs for the large number of nodes and the dynamic topologies. In this paper, we introduce a novel privacy-preserving outsourcing computation method which combines GM homomorphic encryption scheme and Bloom filter together to solve this problem and propose a new privacy-preserving outsourcing set intersection computation protocol. Results show that the new protocol resolves the privacy-preserving outsourcing set intersection computation problem without increasing the complexity and the false positive probability. Besides, the number of participants, the size of input secret sets, and the online time of participants are not limited.

  1. Age-Based Differences in Care Setting Transitions over the Last Year of Life

    Directory of Open Access Journals (Sweden)

    Donna M. Wilson

    2011-01-01

    Full Text Available Context. Little is known about the number and types of moves made in the last year of life to obtain healthcare and end-of-life support, with older adults more vulnerable to care setting transition issues. Research Objective. Compare care setting transitions across older (65+ years and younger individuals. Design. Secondary analyses of provincial hospital and ambulatory database data. Every individual who lived in the province for one year prior to death from April 1, 2005 through March 31, 2007 was retained (N=19,397. Results. Transitions averaged 3.5, with 3.9 and 3.4 for younger and older persons, respectively. Older persons also had fewer ER and ambulatory visits, fewer procedures performed in the last year of life, but longer inpatient stays (42.7 days versus 36.2 for younger persons. Conclusion. Younger and older persons differ somewhat in the number and type of end-of-life care setting transitions, a matter for continuing research and healthcare policy.

  2. Stabilized Conservative Level Set Method with Adaptive Wavelet-based Mesh Refinement

    Science.gov (United States)

    Shervani-Tabar, Navid; Vasilyev, Oleg V.

    2016-11-01

    This paper addresses one of the main challenges of the conservative level set method, namely the ill-conditioned behavior of the normal vector away from the interface. An alternative formulation for reconstruction of the interface is proposed. Unlike the commonly used methods which rely on the unit normal vector, Stabilized Conservative Level Set (SCLS) uses a modified renormalization vector with diminishing magnitude away from the interface. With the new formulation, in the vicinity of the interface the reinitialization procedure utilizes compressive flux and diffusive terms only in the normal direction to the interface, thus, preserving the conservative level set properties, while away from the interfaces the directional diffusion mechanism automatically switches to homogeneous diffusion. The proposed formulation is robust and general. It is especially well suited for use with adaptive mesh refinement (AMR) approaches due to need for a finer resolution in the vicinity of the interface in comparison with the rest of the domain. All of the results were obtained using the Adaptive Wavelet Collocation Method, a general AMR-type method, which utilizes wavelet decomposition to adapt on steep gradients in the solution while retaining a predetermined order of accuracy.

  3. Avaliação da presença de Staphylococcus aureus nos leitos do Centro de Terapia Intensiva do Hospital Escola da Faculdade de Medicina do Triângulo Mineiro, em relação à posição no colchão antes e após a limpeza Evaluation of presence of Staphylococcus aureus on the beds of Hospital Escola's Intensive Care Unit, concerning the position on the mattress, before and after cleaning

    Directory of Open Access Journals (Sweden)

    Guilhermo Justino Mundim

    2003-12-01

    Full Text Available Através de meios de cultura, foi pesquisada a posição de colônias de Staphylococcus aureus em colchões, visando avaliar a eficácia do procedimento de limpeza e desinfecção dos leitos do Hospital Escola da Faculdade de Medicina do Triângulo Mineiro (Uberaba. Foram analisadas amostras de 50 colchões no período de 22 de outubro de 2000 a 16 de janeiro de 2001. As amostras foram coletadas e semeadas, pela técnica de esgotamento, em dois meios de cultivo (ágar sangue e manitol com posterior realização de provas de catalase e coagulase . Na análise estatística, foram utilizados os testes não paramétricos Mann-Whitney, Kruswkal- Wallis e Wilcoxon Matched Pairs Test com nível de significância p 0,05. Os resultados apontam e alertam para falhas no procedimento de limpeza e desinfecção dos leitos hospitalares por nós estudados.By means of culture medium, it was researched the position of the colony of Staphylococcus aureus on the mattress, to evaluate the efficciuoness of the methods of cleaning and disinfection of the river bed in the Faculdade de Medicina do Triângulo Mineiro's School Hospital (Uberaba. It were evaluated fifty mattresses on the period of October 22th (2000 to January 16th (2001. The samples were collected and grown, the exhaustion techinique draining, on two different nutrient bases (blood agar and mannitol salt agar followed by catalase and coagulase tests. For the statistical analysis, were used non-parametrics tests Mann-Whitney, Kruskal-Wallis, Wilcoxon Matched Pairs Test with significance level p < 0,05 were used. Six hundred dishes of culture medium have been used. There was growing in 94 (15,6%, being 82 (87,2% before and 12 (12,8% after cleaning and disinfection. Concerning the position on the bed, the samples obtained from mannitol salt agar medium showed significant retention on the lower position of bed. The results alert to flaws in the procedure for cleaning and disinfection from the mattresses

  4. The effects of social networks on choice set dynamics : results of numerical simulations using an agent-based approach

    NARCIS (Netherlands)

    Han, Q.; Arentze, T.A.; Timmermans, H.J.P.; Janssens, D.; Wets, G.

    2011-01-01

    Activity-based analysis has slowly shifted gear from the analysis of daily activity patterns to the analysis and modeling of dynamic activity-travel patterns. In this paper, we address one type of dynamics: the formation and adaptation of location choice sets under influence of dyad relationships

  5. Implementation Process and Acceptance of a Setting Based Prevention Programme to Promote Healthy Lifestyle in Preschool Children

    Science.gov (United States)

    Herbert, Birgit; Strauss, Angelika; Mayer, Andrea; Duvinage, Kristin; Mitschek, Christine; Koletzko, Berthold

    2013-01-01

    Objective: Evaluation of the implementation process of a kindergarten-based intervention ("TigerKids") to promote a healthy lifestyle. Design: Questionnaire survey among kindergarten teachers about programme implementation and acceptance. Setting: Kindergartens in Bavaria, Germany. Methods: Two hundred and fifteen kindergartens were…

  6. Issues Concerning Self-Report Data and Population-Based Data Sets Involving People with Intellectual Disabilities

    Science.gov (United States)

    Emerson, Eric; Felce, David; Stancliffe, Roger J.

    2013-01-01

    This article examines two methodological issues regarding ways of obtaining and analyzing outcome data for people with intellectual disabilities: (a) self-report and proxy-report data and (b) analysis of population-based data sets. Some people with intellectual disabilities have difficulties with self-reporting due to problems of understanding and…

  7. Implementation of a Contingency Management-Based Intervention in a Community Supervision Setting: Clinical Issues and Recommendations

    Science.gov (United States)

    Trotman, Adria J.; Taxman, Faye S.

    2011-01-01

    A cognitive-behaviorally based substance abuse treatment program was implemented within a community supervision setting. This program included a goals group that used a contingency management component and included the probation agent as a part of the treatment. In this article, the authors describe the contingency management component of the…

  8. Implementation of Lifestyle Modification Program Focusing on Physical Activity and Dietary Habits in a Large Group, Community-Based Setting

    Science.gov (United States)

    Stoutenberg, Mark; Falcon, Ashley; Arheart, Kris; Stasi, Selina; Portacio, Francia; Stepanenko, Bryan; Lan, Mary L.; Castruccio-Prince, Catarina; Nackenson, Joshua

    2017-01-01

    Background: Lifestyle modification programs improve several health-related behaviors, including physical activity (PA) and nutrition. However, few of these programs have been expanded to impact a large number of individuals in one setting at one time. Therefore, the purpose of this study was to determine whether a PA- and nutrition-based lifestyle…

  9. Systematic implementation of evidence-based practice in a clinical nursing setting : a participatory action research project

    NARCIS (Netherlands)

    Sandra van der Loo; Gerrie Bours; Anna Beurskens; Albine Moser; Jolanda Friesen-Storms

    2015-01-01

    Aims and objectives: To describe the process of implementing evidence-based practice (EBP) in a clinical nursing setting. Background: EBP has become a major issue in nursing, it is insufficiently integrated in daily practice and its implementation is complex. Design: Participatory action

  10. 13 CFR 106.402 - What provisions must be set forth in a Non-Fee Based Record?

    Science.gov (United States)

    2010-01-01

    ... 13 Business Credit and Assistance 1 2010-01-01 2010-01-01 false What provisions must be set forth in a Non-Fee Based Record? 106.402 Section 106.402 Business Credit and Assistance SMALL BUSINESS... endorsement by SBA of the Donor, or the Donor's products or services. ...

  11. LEGO: a novel method for gene set over-representation analysis by incorporating network-based gene weights.

    Science.gov (United States)

    Dong, Xinran; Hao, Yun; Wang, Xiao; Tian, Weidong

    2016-01-11

    Pathway or gene set over-representation analysis (ORA) has become a routine task in functional genomics studies. However, currently widely used ORA tools employ statistical methods such as Fisher's exact test that reduce a pathway into a list of genes, ignoring the constitutive functional non-equivalent roles of genes and the complex gene-gene interactions. Here, we develop a novel method named LEGO (functional Link Enrichment of Gene Ontology or gene sets) that takes into consideration these two types of information by incorporating network-based gene weights in ORA analysis. In three benchmarks, LEGO achieves better performance than Fisher and three other network-based methods. To further evaluate LEGO's usefulness, we compare LEGO with five gene expression-based and three pathway topology-based methods using a benchmark of 34 disease gene expression datasets compiled by a recent publication, and show that LEGO is among the top-ranked methods in terms of both sensitivity and prioritization for detecting target KEGG pathways. In addition, we develop a cluster-and-filter approach to reduce the redundancy among the enriched gene sets, making the results more interpretable to biologists. Finally, we apply LEGO to two lists of autism genes, and identify relevant gene sets to autism that could not be found by Fisher.

  12. 16 CFR 1633.6 - Quality assurance requirements.

    Science.gov (United States)

    2010-01-01

    ... that mattress sets manufactured for sale are the same as the qualified and/or confirmed prototype on... are the same as those used in the prototype on which they are based; (2) Designation of a production lot that is represented by the prototype; and (3) Inspection of mattress sets produced for sale...

  13. Nudging physician prescription decisions by partitioning the order set: results of a vignette-based study.

    Science.gov (United States)

    Tannenbaum, David; Doctor, Jason N; Persell, Stephen D; Friedberg, Mark W; Meeker, Daniella; Friesema, Elisha M; Goldstein, Noah J; Linder, Jeffrey A; Fox, Craig R

    2015-03-01

    Healthcare professionals are rapidly adopting electronic health records (EHRs). Within EHRs, seemingly innocuous menu design configurations can influence provider decisions for better or worse. The purpose of this study was to examine whether the grouping of menu items systematically affects prescribing practices among primary care providers. We surveyed 166 primary care providers in a research network of practices in the greater Chicago area, of whom 84 responded (51% response rate). Respondents and non-respondents were similar on all observable dimensions except that respondents were more likely to work in an academic setting. The questionnaire consisted of seven clinical vignettes. Each vignette described typical signs and symptoms for acute respiratory infections, and providers chose treatments from a menu of options. For each vignette, providers were randomly assigned to one of two menu partitions. For antibiotic-inappropriate vignettes, the treatment menu either listed over-the-counter (OTC) medications individually while grouping prescriptions together, or displayed the reverse partition. For antibiotic-appropriate vignettes, the treatment menu either listed narrow-spectrum antibiotics individually while grouping broad-spectrum antibiotics, or displayed the reverse partition. The main outcome was provider treatment choice. For antibiotic-inappropriate vignettes, we categorized responses as prescription drugs or OTC-only options. For antibiotic-appropriate vignettes, we categorized responses as broad- or narrow-spectrum antibiotics. Across vignettes, there was an 11.5 percentage point reduction in choosing aggressive treatment options (e.g., broad-spectrum antibiotics) when aggressive options were grouped compared to when those same options were listed individually (95% CI: 2.9 to 20.1%; p = .008). Provider treatment choice appears to be influenced by the grouping of menu options, suggesting that the layout of EHR order sets is not an arbitrary exercise

  14. Set of CAMAC modules on the base of large integrated circuits for an accelerator synchronization system

    International Nuclear Information System (INIS)

    Glejbman, Eh.M.; Pilyar, N.V.

    1986-01-01

    Parameters of functional moduli in the CAMAC standard developed for accelerator synchronization system are presented. They comprise BZN-8K and BZ-8K digital delay circuits, timing circuit and pulse selection circuit. In every module 3 large integral circuits of KR 580 VI53 type programmed timer, circuits of the given system bus bar interface with bus bars of crate, circuits of data recording control, 2 peripheric storage devices, circuits of initial regime setting, input and output shapers, circuits of installation and removal of blocking in channels are used

  15. OPTIMIZATION-BASED APPROACH TO TILING OF FINITE AREAS WITH ARBITRARY SETS OF WANG TILES

    Directory of Open Access Journals (Sweden)

    Marek Tyburec

    2017-11-01

    Full Text Available Wang tiles proved to be a convenient tool for the design of aperiodic tilings in computer graphics and in materials engineering. While there are several algorithms for generation of finite-sized tilings, they exploit the specific structure of individual tile sets, which prevents their general usage. In this contribution, we reformulate the NP-complete tiling generation problem as a binary linear program, together with its linear and semidefinite relaxations suitable for the branch and bound method. Finally, we assess the performance of the established formulations on generations of several aperiodic tilings reported in the literature, and conclude that the linear relaxation is better suited for the problem.

  16. Wearable accelerometry-based technology capable of assessing functional activities in neurological populations in community settings: a systematic review.

    Science.gov (United States)

    Steins, Dax; Dawes, Helen; Esser, Patrick; Collett, Johnny

    2014-03-13

    Integrating rehabilitation services through wearable systems has the potential to accurately assess the type, intensity, duration, and quality of movement necessary for procuring key outcome measures. This review aims to explore wearable accelerometry-based technology (ABT) capable of assessing mobility-related functional activities intended for rehabilitation purposes in community settings for neurological populations. In this review, we focus on the accuracy of ABT-based methods, types of outcome measures, and the implementation of ABT in non-clinical settings for rehabilitation purposes. Cochrane, PubMed, Web of Knowledge, EMBASE, and IEEE Xplore. The search strategy covered three main areas, namely wearable technology, rehabilitation, and setting. Potentially relevant studies were categorized as systems either evaluating methods or outcome parameters. Methodological qualities of studies were assessed by two customized checklists, depending on their categorization and rated independently by three blinded reviewers. Twelve studies involving ABT met the eligibility criteria, of which three studies were identified as having implemented ABT for rehabilitation purposes in non-clinical settings. From the twelve studies, seven studies achieved high methodological quality scores. These studies were not only capable of assessing the type, quantity, and quality measures of functional activities, but could also distinguish healthy from non-healthy subjects and/or address disease severity levels. While many studies support ABT's potential for telerehabilitation, few actually utilized it to assess mobility-related functional activities outside laboratory settings. To generate more appropriate outcome measures, there is a clear need to translate research findings and novel methods into practice.

  17. A variational approach to multi-phase motion of gas, liquid and solid based on the level set method

    Science.gov (United States)

    Yokoi, Kensuke

    2009-07-01

    We propose a simple and robust numerical algorithm to deal with multi-phase motion of gas, liquid and solid based on the level set method [S. Osher, J.A. Sethian, Front propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulation, J. Comput. Phys. 79 (1988) 12; M. Sussman, P. Smereka, S. Osher, A level set approach for capturing solution to incompressible two-phase flow, J. Comput. Phys. 114 (1994) 146; J.A. Sethian, Level Set Methods and Fast Marching Methods, Cambridge University Press, 1999; S. Osher, R. Fedkiw, Level Set Methods and Dynamics Implicit Surface, Applied Mathematical Sciences, vol. 153, Springer, 2003]. In Eulerian framework, to simulate interaction between a moving solid object and an interfacial flow, we need to define at least two functions (level set functions) to distinguish three materials. In such simulations, in general two functions overlap and/or disagree due to numerical errors such as numerical diffusion. In this paper, we resolved the problem using the idea of the active contour model [M. Kass, A. Witkin, D. Terzopoulos, Snakes: active contour models, International Journal of Computer Vision 1 (1988) 321; V. Caselles, R. Kimmel, G. Sapiro, Geodesic active contours, International Journal of Computer Vision 22 (1997) 61; G. Sapiro, Geometric Partial Differential Equations and Image Analysis, Cambridge University Press, 2001; R. Kimmel, Numerical Geometry of Images: Theory, Algorithms, and Applications, Springer-Verlag, 2003] introduced in the field of image processing.

  18. Rediscovering the Economics of Keynes in an Agent-Based Computational Setting

    DEFF Research Database (Denmark)

    Bruun, Charlotte

    2016-01-01

    The aim of this paper is to use agent-based computational economics to explore the economic thinking of Keynes. Taking his starting point at the macroeconomic level, Keynes argued that economic systems are characterized by fundamental uncertainty — an uncertainty that makes rule-based behavior...

  19. High yield of culture-based diagnosis in a TB-endemic setting

    NARCIS (Netherlands)

    Demers, Anne-Marie; Verver, Suzanne; Boulle, Andrew; Warren, Robin; van Helden, Paul; Behr, Marcel A.; Coetzee, David

    2012-01-01

    Background: In most of the world, microbiologic diagnosis of tuberculosis (TB) is limited to microscopy. Recent guidelines recommend culture-based diagnosis where feasible. Methods: In order to evaluate the relative and absolute incremental diagnostic yield of culture-based diagnosis in a

  20. The effect of different weather data sets and their resolution on climate-based daylight modelling

    DEFF Research Database (Denmark)

    Iversen, A; Svendsen, Svend; Nielsen, Toke Rammer

    2013-01-01

    Climate-based daylight modelling is based on the available weather data, which means that the weather data used as input to the daylight simulations are of great importance. In this paper, the effect on the outcome of the daylight simulations of using one weather data file rather than another...

  1. The African interpretations of a set of values in a value-based HIV ...

    African Journals Online (AJOL)

    This article focuses on a qualitative exploration of six core values embedded in the Choose Life Training Programme (CLTP), a value-based HIV and AIDS prevention programme. The article is based on a study that explored the possibility that the African interpretations of these values are different to the Western definitions.

  2. Performance of Underprepared Students in Traditional versus Animation-Based Flipped-Classroom Settings

    Science.gov (United States)

    Gregorius, R. Ma.

    2017-01-01

    Student performance in a flipped classroom with an animation-based content knowledge development system for the bottom third of the incoming first year college students was compared to that in a traditional lecture-based teaching method. 52% of these students withdrew from the traditionally taught General Chemistry course, compared to 22% in a…

  3. Experience-based design for integrating the patient care experience into healthcare improvement: Identifying a set of reliable emotion words.

    Science.gov (United States)

    Russ, Lauren R; Phillips, Jennifer; Brzozowicz, Keely; Chafetz, Lynne A; Plsek, Paul E; Blackmore, C Craig; Kaplan, Gary S

    2013-12-01

    Experience-based design is an emerging method used to capture the emotional content of patient and family member healthcare experiences, and can serve as the foundation for patient-centered healthcare improvement. However, a core tool-the experience-based design questionnaire-requires words with consistent emotional meaning. Our objective was to identify and evaluate an emotion word set reliably categorized across the demographic spectrum as expressing positive, negative, or neutral emotions for experience-based design improvement work. We surveyed 407 patients, family members, and healthcare workers in 2011. Participants designated each of 67 potential emotion words as positive, neutral, or negative based on their emotional perception of the word. Overall agreement was assessed using the kappa statistic. Words were selected for retention in the final emotion word set based on 80% simple agreement on classification of meaning across subgroups. The participants were 47.9% (195/407) patients, 19.4% (33/407) family members and 32.7% (133/407) healthcare staff. Overall agreement adjusted for chance was moderate (k=0.55). However, agreement for positive (k=0.69) and negative emotions (k=0.68) was substantially higher, while agreement in the neutral category was low (k=0.11). There were 20 positive, 1 neutral, and 14 negative words retained for the final experience-based design emotion word set. We identified a reliable set of emotion words for experience questionnaires to serve as the foundation for patient-centered, experience-based redesign of healthcare. Incorporation of patient and family member perspectives in healthcare requires reliable tools to capture the emotional content of care touch points. Copyright © 2013 Elsevier Inc. All rights reserved.

  4. Windows Based Data Sets for Evaluation of Robustness of Host Based Intrusion Detection Systems (IDS to Zero-Day and Stealth Attacks

    Directory of Open Access Journals (Sweden)

    Waqas Haider

    2016-07-01

    Full Text Available The Windows Operating System (OS is the most popular desktop OS in the world, as it has the majority market share of both servers and personal computing necessities. However, as its default signature-based security measures are ineffectual for detecting zero-day and stealth attacks, it needs an intelligent Host-based Intrusion Detection System (HIDS. Unfortunately, a comprehensive data set that reflects the modern Windows OS’s normal and attack surfaces is not publicly available. To fill this gap, in this paper two open data sets generated by the cyber security department of the Australian Defence Force Academy (ADFA are introduced, namely: Australian Defence Force Academy Windows Data Set (ADFA-WD; and Australian Defence Force Academy Windows Data Set with a Stealth Attacks Addendum (ADFA-WD: SAA. Statistical analysis results based on these data sets show that, due to the low foot prints of modern attacks and high similarity of normal and attacked data, both these data sets are complex, and highly intelligent Host based Anomaly Detection Systems (HADS design will be required.

  5. Efficient frequent pattern mining algorithm based on node sets in cloud computing environment

    Science.gov (United States)

    Billa, V. N. Vinay Kumar; Lakshmanna, K.; Rajesh, K.; Reddy, M. Praveen Kumar; Nagaraja, G.; Sudheer, K.

    2017-11-01

    The ultimate goal of Data Mining is to determine the hidden information which is useful in making decisions using the large databases collected by an organization. This Data Mining involves many tasks that are to be performed during the process. Mining frequent itemsets is the one of the most important tasks in case of transactional databases. These transactional databases contain the data in very large scale where the mining of these databases involves the consumption of physical memory and time in proportion to the size of the database. A frequent pattern mining algorithm is said to be efficient only if it consumes less memory and time to mine the frequent itemsets from the given large database. Having these points in mind in this thesis we proposed a system which mines frequent itemsets in an optimized way in terms of memory and time by using cloud computing as an important factor to make the process parallel and the application is provided as a service. A complete framework which uses a proven efficient algorithm called FIN algorithm. FIN algorithm works on Nodesets and POC (pre-order coding) tree. In order to evaluate the performance of the system we conduct the experiments to compare the efficiency of the same algorithm applied in a standalone manner and in cloud computing environment on a real time data set which is traffic accidents data set. The results show that the memory consumption and execution time taken for the process in the proposed system is much lesser than those of standalone system.

  6. Shrinkage covariance matrix approach based on robust trimmed mean in gene sets detection

    Science.gov (United States)

    Karjanto, Suryaefiza; Ramli, Norazan Mohamed; Ghani, Nor Azura Md; Aripin, Rasimah; Yusop, Noorezatty Mohd

    2015-02-01

    Microarray involves of placing an orderly arrangement of thousands of gene sequences in a grid on a suitable surface. The technology has made a novelty discovery since its development and obtained an increasing attention among researchers. The widespread of microarray technology is largely due to its ability to perform simultaneous analysis of thousands of genes in a massively parallel manner in one experiment. Hence, it provides valuable knowledge on gene interaction and function. The microarray data set typically consists of tens of thousands of genes (variables) from just dozens of samples due to various constraints. Therefore, the sample covariance matrix in Hotelling's T2 statistic is not positive definite and become singular, thus it cannot be inverted. In this research, the Hotelling's T2 statistic is combined with a shrinkage approach as an alternative estimation to estimate the covariance matrix to detect significant gene sets. The use of shrinkage covariance matrix overcomes the singularity problem by converting an unbiased to an improved biased estimator of covariance matrix. Robust trimmed mean is integrated into the shrinkage matrix to reduce the influence of outliers and consequently increases its efficiency. The performance of the proposed method is measured using several simulation designs. The results are expected to outperform existing techniques in many tested conditions.

  7. Dynamic Output Feedback Robust MPC with Input Saturation Based on Zonotopic Set-Membership Estimation

    Directory of Open Access Journals (Sweden)

    Xubin Ping

    2016-01-01

    Full Text Available For quasi-linear parameter varying (quasi-LPV systems with bounded disturbance, a synthesis approach of dynamic output feedback robust model predictive control (OFRMPC with the consideration of input saturation is investigated. The saturated dynamic output feedback controller is represented by a convex hull involving the actual dynamic output controller and an introduced auxiliary controller. By taking both the actual output feedback controller and the auxiliary controller with a parameter-dependent form, the main optimization problem can be formulated as convex optimization. The consideration of input saturation in the main optimization problem reduces the conservatism of dynamic output feedback controller design. The estimation error set and bounded disturbance are represented by zonotopes and refreshed by zonotopic set-membership estimation. Compared with the previous results, the proposed algorithm can not only guarantee the recursive feasibility of the optimization problem, but also improve the control performance at the cost of higher computational burden. A nonlinear continuous stirred tank reactor (CSTR example is given to illustrate the effectiveness of the approach.

  8. Robust Trajectory Option Set planning in CTOP based on Bayesian game model

    KAUST Repository

    Li, Lichun; Clarke, John-Paul; Feron, Eric; Shamma, Jeff S.

    2017-01-01

    The Federal Aviation Administration (FAA) rations capacity to reduce en route delay, especially those caused by bad weather. This is accomplished via Collaborative Trajectory Options Program (CTOP) which has been recently developed to provide a mechanism for flight operators to communicate their route preferences for each flight via a Trajectory Option Set (TOS), as well as a mechanism for the FAA to assign the best possible route within the set of trajectories in the TOS for a given flight, i.e. the route with the lowest adjusted cost after consideration of system constraints and the requirements of all flights. The routes assigned to an airline depend not only on the TOS's for its own flights but also on the TOS's of all other flights in the CTOP, which are unknown. This paper aims to provide a detailed algorithm for the airline to design its TOS plan which is robust to the uncertainties of its competitors' TOS's. To this purpose, we model the CTOP problem as a Bayesian game, and use Linear Program (LP) to compute the security strategy in the Bayesian game model. This security strategy guarantees the airline an upper bound on the sum of the assigned times. The numerical results demonstrate the robustness of the strategy, which is not achieved by any other tested strategy.

  9. Robust Trajectory Option Set planning in CTOP based on Bayesian game model

    KAUST Repository

    Li, Lichun

    2017-07-10

    The Federal Aviation Administration (FAA) rations capacity to reduce en route delay, especially those caused by bad weather. This is accomplished via Collaborative Trajectory Options Program (CTOP) which has been recently developed to provide a mechanism for flight operators to communicate their route preferences for each flight via a Trajectory Option Set (TOS), as well as a mechanism for the FAA to assign the best possible route within the set of trajectories in the TOS for a given flight, i.e. the route with the lowest adjusted cost after consideration of system constraints and the requirements of all flights. The routes assigned to an airline depend not only on the TOS\\'s for its own flights but also on the TOS\\'s of all other flights in the CTOP, which are unknown. This paper aims to provide a detailed algorithm for the airline to design its TOS plan which is robust to the uncertainties of its competitors\\' TOS\\'s. To this purpose, we model the CTOP problem as a Bayesian game, and use Linear Program (LP) to compute the security strategy in the Bayesian game model. This security strategy guarantees the airline an upper bound on the sum of the assigned times. The numerical results demonstrate the robustness of the strategy, which is not achieved by any other tested strategy.

  10. Rediscovering the Economics of Keynes in an Agent-Based Computational Setting

    DEFF Research Database (Denmark)

    Bruun, Charlotte

    The aim of this paper is to use agent-based computational economics to explore the economic thinking of Keynes. Taking his starting point at the macroeconomic level, Keynes argued that economic systems are characterized by fundamental uncertainty - an uncertainty that makes rule-based behaviour...... and reliance on monetary magnitudes more optimal to the economic agent than profit- and utility optimazation in the traditional sense. Unfortunately more systematic studies of the properties of such a system was not possible at the time of Keynes. The system envisioned by Keynes holds a lot of properties...... in commen with what we today call complex dynamic systems, and today we may aply the method of agent-based computational economics to the ideas of Keynes. The presented agent-based Keynesian model demonstrate, as argued by Keynes, that the economy can selforganize without relying on price movement...

  11. Processing and filtrating of driver fatigue characteristic parameters based on rough set

    Science.gov (United States)

    Ye, Wenwu; Zhao, Xuyang

    2018-05-01

    With the rapid development of economy, people become increasingly rich, and cars have become a common means of transportation in daily life. However, the problem of traffic safety is becoming more and more serious. And fatigue driving is one of the main causes of traffic accidents. Therefore, it is of great importance for us to study the detection of fatigue driving to improve traffic safety. In the cause of determining whether the driver is tired, the characteristic quantity related to the steering angle of the steering wheel and the characteristic quantity of the driver's pulse are all important indicators. The fuzzy c-means clustering is used to discretize the above indexes. Because the characteristic parameters are too miscellaneous, rough set is used to filtrate these characteristics. Finally, this paper finds out the highest correlation with fatigue driving. It is proved that these selected characteristics are of great significance to the evaluation of fatigue driving.

  12. Evaluation of a social skills program based on social learning theory, implemented in a school setting.

    Science.gov (United States)

    Sheridan, Beth A; MacDonald, Douglas A; Donlon, Mark; Kuhn, Beth; McGovern, Katie; Friedman, Harris

    2011-04-01

    Using a sample of 647 Canadian children in kindergarten to Grade 3 (325 boys, 322 girls), the present study evaluated the perceived effectiveness of Skillstreaming (McGinnis & Goldstein, 2003), a widely known social skills program implemented to target the development of four skill sets, i.e., listening, following directions, problem-solving, and knowing when to tell. Results indicated significant postprogram improvements in all skills as well as in ratings of overall prosociality obtained from both classroom teachers and mental health staff, with medium to large effect sizes obtained from teachers' and mental health professionals' ratings, respectively. Additional analyses yielded significant but weak moderator effects of grade and preprogram prosocial functioning for teacher ratings but no consistent moderator effects for children's sex or school location (i.e., urban versus rural) regardless of rater.

  13. Predictive control for stochastic systems based on multi-layer probabilistic sets

    Directory of Open Access Journals (Sweden)

    Huaqing LIANG

    2016-04-01

    Full Text Available Aiming at a class of discrete-time stochastic systems with Markov jump features, the state-feedback predictive control problem under probabilistic constraints of input variables is researched. On the basis of the concept and method of the multi-layer probabilistic sets, the predictive controller design algorithm with the soft constraints of different probabilities is presented. Under the control of the multi-step feedback laws, the system state moves to different ellipses with specified probabilities. The stability of the system is guaranteed, the feasible region of the control problem is enlarged, and the system performance is improved. Finally, a simulation example is given to prove the effectiveness of the proposed method.

  14. Rough Set Theory based prognostication of life expectancy for terminally ill patients.

    Science.gov (United States)

    Gil-Herrera, Eleazar; Yalcin, Ali; Tsalatsanis, Athanasios; Barnes, Laura E; Djulbegovic, Benjamin

    2011-01-01

    We present a novel knowledge discovery methodology that relies on Rough Set Theory to predict the life expectancy of terminally ill patients in an effort to improve the hospice referral process. Life expectancy prognostication is particularly valuable for terminally ill patients since it enables them and their families to initiate end-of-life discussions and choose the most desired management strategy for the remainder of their lives. We utilize retrospective data from 9105 patients to demonstrate the design and implementation details of a series of classifiers developed to identify potential hospice candidates. Preliminary results confirm the efficacy of the proposed methodology. We envision our work as a part of a comprehensive decision support system designed to assist terminally ill patients in making end-of-life care decisions.

  15. Counseling in the clinical setting to prevent unintended pregnancy: an evidence-based research agenda.

    Science.gov (United States)

    Moos, Merry K; Bartholomew, Neva E; Lohr, Kathleen N

    2003-02-01

    Unintended pregnancies account for about half of all pregnancies in the United States and, in 1995, numbered nearly 3 million pregnancies. They pose appreciable medical, emotional, social and financial costs on women, their families and society. The US is not attaining national goals to decrease unintended pregnancies, and little is known about effective means for reducing unintended pregnancy rates in adults or adolescents.To examine the evidence about the effectiveness, benefits and harms of counseling in a clinical setting to prevent unintended pregnancy in adults and adolescents and to use the evidence to propose a research agenda.We identified English-language articles from comprehensive searches of the MEDLINE, CINAHL, PsychLit and other databases from 1985 through May 2000; the main clinical search terms included pregnancy (mistimed, unintended, unplanned, unwanted), family planning, contraceptive behavior, counseling, sex counseling, and knowledge, attitudes and behavior. We also used published systematic reviews, hand searching of relevant articles, the second Guide to Clinical Preventive Services and extensive peer review to identify important articles not otherwise found and to assure completeness. Of 673 abstracts examined, we retained 354 for full article review; of these, we used 74 for the systematic evidence review and abstracted data from 13 articles for evidence tables. Four studies addressed the effectiveness of counseling in a clinical setting in changing knowledge, skills and attitudes about contraception and pregnancy; all had poor internal validity and generalizability and collectively did not provide definitive guidance about effective counseling strategies. Nine studies (three in teenage populations) addressed the relationship of knowledge on contraceptive use and adherence. Knowledge of correct contraceptive methods may be positively associated with appropriate use, but reservations about the method itself, partner support of the method

  16. A multiple criteria decision making for raking alternatives using preference relation matrix based on intuitionistic fuzzy sets

    Directory of Open Access Journals (Sweden)

    Mehdi Bahramloo

    2013-10-01

    Full Text Available Ranking various alternatives has been under investigation and there are literally various methods and techniques for making a decision based on various criteria. One of the primary concerns on ranking methodologies such as analytical hierarchy process (AHP is that decision makers cannot express his/her feeling in crisp form. Therefore, we need to use linguistic terms to receive the relative weights for comparing various alternatives. In this paper, we discuss ranking different alternatives based on the implementation of preference relation matrix based on intuitionistic fuzzy sets.

  17. Automated 3D-Objectdocumentation on the Base of an Image Set

    Directory of Open Access Journals (Sweden)

    Sebastian Vetter

    2011-12-01

    Full Text Available Digital stereo-photogrammetry allows users an automatic evaluation of the spatial dimension and the surface texture of objects. The integration of image analysis techniques simplifies the automation of evaluation of large image sets and offers a high accuracy [1]. Due to the substantial similarities of stereoscopic image pairs, correlation techniques provide measurements of subpixel precision for corresponding image points. With the help of an automated point search algorithm in image sets identical points are used to associate pairs of images to stereo models and group them. The found identical points in all images are basis for calculation of the relative orientation of each stereo model as well as defining the relation of neighboured stereo models. By using proper filter strategies incorrect points are removed and the relative orientation of the stereo model can be made automatically. With the help of 3D-reference points or distances at the object or a defined distance of camera basis the stereo model is orientated absolute. An adapted expansion- and matching algorithm offers the possibility to scan the object surface automatically. The result is a three dimensional point cloud; the scan resolution depends on image quality. With the integration of the iterative closest point- algorithm (ICP these partial point clouds are fitted to a total point cloud. In this way, 3D-reference points are not necessary. With the help of the implemented triangulation algorithm a digital surface models (DSM can be created. The texturing can be made automatically by the usage of the images that were used for scanning the object surface. It is possible to texture the surface model directly or to generate orthophotos automatically. By using of calibrated digital SLR cameras with full frame sensor a high accuracy can be reached. A big advantage is the possibility to control the accuracy and quality of the 3d-objectdocumentation with the resolution of the images. The

  18. Developing risk-based priorities for reducing air pollution in urban settings in Ukraine.

    Science.gov (United States)

    Brody, Michael; Caldwell, Jane; Golub, Alexander

    2007-02-01

    Ukraine, when part of the former Soviet Union, was responsible for about 25% of its overall industrial production. This aging industrial infrastructure continues to emit enormous volumes of air and water pollution and wastes. The National Report on the State of Environment in Ukraine 1999 (Ukraine Ministry of Environmental Protection [MEP], 2000) shows significant air pollution. There are numerous emissions that have been associated with developmental effects, chronic long-term health effects, and cancer. Ukraine also has been identified as a major source of transboundary air pollution for the eastern Mediterranean region. Ukraine's Environment Ministry is not currently able to strategically target high-priority emissions and lacks the resources to address all these problems. For these reasons, the U.S. Environmental Protection Agency set up a partnership with Ukraine's Ministry of Environmental Protection to strengthen its capacity to set environmental priorities through the use of comparative environmental risk assessment and economic analysis--the Capacity Building Project. The project is also addressing improvements in the efficiency and effectiveness of the use of its National Environmental Protection Fund. The project consists of a series of workshops with Ukrainian MEP officials in comparative risk assessment of air pollutant emissions in several heavily industrialized oblasts; cost-benefit and cost-effectiveness analysis; and environmental finance. Pilot risk assessment analyses have been completed. At the end of the Capacity Building Project it is expected that the use of the National Environmental Protection fund and the regional level oblast environmental protection funds will begin to target and identify the highest health and environmental risk emissions.

  19. Accuracy, reproducibility, and uncertainty analysis of thyroid-probe-based activity measurements for determination of dose calibrator settings.

    Science.gov (United States)

    Esquinas, Pedro L; Tanguay, Jesse; Gonzalez, Marjorie; Vuckovic, Milan; Rodríguez-Rodríguez, Cristina; Häfeli, Urs O; Celler, Anna

    2016-12-01

    In the nuclear medicine department, the activity of radiopharmaceuticals is measured using dose calibrators (DCs) prior to patient injection. The DC consists of an ionization chamber that measures current generated by ionizing radiation (emitted from the radiotracer). In order to obtain an activity reading, the current is converted into units of activity by applying an appropriate calibration factor (also referred to as DC dial setting). Accurate determination of DC dial settings is crucial to ensure that patients receive the appropriate dose in diagnostic scans or radionuclide therapies. The goals of this study were (1) to describe a practical method to experimentally determine dose calibrator settings using a thyroid-probe (TP) and (2) to investigate the accuracy, reproducibility, and uncertainties of the method. As an illustration, the TP method was applied to determine 188 Re dial settings for two dose calibrator models: Atomlab 100plus and Capintec CRC-55tR. Using the TP to determine dose calibrator settings involved three measurements. First, the energy-dependent efficiency of the TP was determined from energy spectra measurements of two calibration sources ( 152 Eu and 22 Na). Second, the gamma emissions from the investigated isotope ( 188 Re) were measured using the TP and its activity was determined using γ-ray spectroscopy methods. Ambient background, scatter, and source-geometry corrections were applied during the efficiency and activity determination steps. Third, the TP-based 188 Re activity was used to determine the dose calibrator settings following the calibration curve method [B. E. Zimmerman et al., J. Nucl. Med. 40, 1508-1516 (1999)]. The interobserver reproducibility of TP measurements was determined by the coefficient of variation (COV) and uncertainties associated to each step of the measuring process were estimated. The accuracy of activity measurements using the proposed method was evaluated by comparing the TP activity estimates of 99m Tc

  20. Iris segmentation using an edge detector based on fuzzy sets theory and cellular learning automata.

    Science.gov (United States)

    Ghanizadeh, Afshin; Abarghouei, Amir Atapour; Sinaie, Saman; Saad, Puteh; Shamsuddin, Siti Mariyam

    2011-07-01

    Iris-based biometric systems identify individuals based on the characteristics of their iris, since they are proven to remain unique for a long time. An iris recognition system includes four phases, the most important of which is preprocessing in which the iris segmentation is performed. The accuracy of an iris biometric system critically depends on the segmentation system. In this paper, an iris segmentation system using edge detection techniques and Hough transforms is presented. The newly proposed edge detection system enhances the performance of the segmentation in a way that it performs much more efficiently than the other conventional iris segmentation methods.

  1. In Silico Testing of an Artificial-Intelligence-Based Artificial Pancreas Designed for Use in the Intensive Care Unit Setting.

    Science.gov (United States)

    DeJournett, Leon; DeJournett, Jeremy

    2016-11-01

    Effective glucose control in the intensive care unit (ICU) setting has the potential to decrease morbidity and mortality rates which should in turn lead to decreased health care expenditures. Current ICU-based glucose controllers are mathematically derived, and tend to be based on proportional integral derivative (PID) or model predictive control (MPC). Artificial intelligence (AI)-based closed loop glucose controllers may have the ability to achieve control that improves on the results achieved by either PID or MPC controllers. We conducted an in silico analysis of an AI-based glucose controller designed for use in the ICU setting. This controller was tested using a mathematical model of the ICU patient's glucose-insulin system. A total of 126 000 unique 5-day simulations were carried out, resulting in 107 million glucose values for analysis. For the 7 control ranges tested, with a sensor error of ±10%, the following average results were achieved: (1) time in control range, 94.2%, (2) time in range 70-140 mg/dl, 97.8%, (3) time in hyperglycemic range (>140 mg/dl), 2.1%, and (4) time in hypoglycemic range (artificial pancreas system for use in the ICU setting. © 2016 Diabetes Technology Society.

  2. Food marketing to children in Canada: a settings-based scoping review on exposure, power and impact

    Science.gov (United States)

    Rachel, Prowse

    2017-01-01

    Abstract Introduction: Food marketing impacts children’s food knowledge, behaviours and health. Current regulations in Canada focus on restricting promotional aspects of food marketing with little-to-no consideration of the places where children experience food. Understanding food marketing in children’s everyday settings is necessary to protect children. This scoping review describes the current literature on food marketing to children in Canada by setting. Methods: The author searched databases for Canadian research on children’s exposure to food marketing, and the power and impact of food marketing to children (2-17 years) across settings, and on how current regulations may mediate the effect of food marketing on children. Peer-reviewed studies in English, published between 2000 and 2016, were included. Results: Twenty-five studies documented children’s exposure to food marketing and its power and/or impact on them in homes (via television, or online) (n = 12), public schools (n = 1), grocery stores (n = 8), fast food restaurants (n = 2), and in general (n = 2). Research trends suggest that unhealthy foods are targeted at children using multiple promotional techniques that overlap across settings. Several research gaps exist in this area, leading to an incomplete, and potentially underestimated, picture of food marketing to children in Canada. Available evidence suggests that current Canadian approaches have not reduced children’s exposure to or the power of food marketing in these settings, with the exception of some positive influences from Quebec’s statutory regulations. Conclusion: The settings where children eat, buy or learn about food expose them to powerful, often unhealthy food marketing. The current evidence suggests that “place” may be an important marketing component to be included in public policy in order to broadly protect children from unhealthy food marketing. Organizations and communities can engage in settings-based health

  3. Food marketing to children in Canada: a settings-based scoping review on exposure, power and impact.

    Science.gov (United States)

    Prowse, Rachel

    2017-09-01

    Food marketing impacts children's food knowledge, behaviours and health. Current regulations in Canada focus on restricting promotional aspects of food marketing with little-to-no consideration of the places where children experience food. Understanding food marketing in children's everyday settings is necessary to protect children. This scoping review describes the current literature on food marketing to children in Canada by setting. The author searched databases for Canadian research on children's exposure to food marketing, and the power and impact of food marketing to children (2-17 years) across settings, and on how current regulations may mediate the effect of food marketing on children. Peer-reviewed studies in English, published between 2000 and 2016, were included. Twenty-five studies documented children's exposure to food marketing and its power and/or impact on them in homes (via television, or online) (n = 12), public schools (n = 1), grocery stores (n = 8), fast food restaurants (n = 2), and in general (n = 2). Research trends suggest that unhealthy foods are targeted at children using multiple promotional techniques that overlap across settings. Several research gaps exist in this area, leading to an incomplete, and potentially underestimated, picture of food marketing to children in Canada. Available evidence suggests that current Canadian approaches have not reduced children's exposure to or the power of food marketing in these settings, with the exception of some positive influences from Quebec's statutory regulations. The settings where children eat, buy or learn about food expose them to powerful, often unhealthy food marketing. The current evidence suggests that "place" may be an important marketing component to be included in public policy in order to broadly protect children from unhealthy food marketing. Organizations and communities can engage in settings-based health promotion interventions by developing their own marketing policies that

  4. Food marketing to children in Canada: a settings-based scoping review on exposure, power and impact

    Directory of Open Access Journals (Sweden)

    Rachel Prowse

    2017-09-01

    Full Text Available Introduction: Food marketing impacts children’s food knowledge, behaviours and health. Current regulations in Canada focus on restricting promotional aspects of food marketing with little-to-no consideration of the places where children experience food. Understanding food marketing in children’s everyday settings is necessary to protect children. This scoping review describes the current literature on food marketing to children in Canada by setting. Methods: The author searched databases for Canadian research on children’s exposure to food marketing, and the power and impact of food marketing to children (2-17 years across settings, and on how current regulations may mediate the effect of food marketing on children. Peer-reviewed studies in English, published between 2000 and 2016, were included. Results: Twenty-five studies documented children’s exposure to food marketing and its power and/or impact on them in homes (via television, or online (n = 12, public schools (n = 1, grocery stores (n = 8, fast food restaurants (n = 2, and in general (n = 2. Research trends suggest that unhealthy foods are targeted at children using multiple promotional techniques that overlap across settings. Several research gaps exist in this area, leading to an incomplete, and potentially underestimated, picture of food marketing to children in Canada. Available evidence suggests that current Canadian approaches have not reduced children’s exposure to or the power of food marketing in these settings, with the exception of some positive influences from Quebec’s statutory regulations. Conclusion: The settings where children eat, buy or learn about food expose them to powerful, often unhealthy food marketing. The current evidence suggests that “place” may be an important marketing component to be included in public policy in order to broadly protect children from unhealthy food marketing. Organizations and communities can engage in settings-based health

  5. Mental Health Service Use in Schools and Non-School-Based Outpatient Settings: Comparing Predictors of Service Use.

    Science.gov (United States)

    Langer, David A; Wood, Jeffrey J; Wood, Patricia A; Garland, Ann F; Landsverk, John; Hough, Richard L

    2015-09-01

    Researchers have consistently documented a gap between the large number of US youth meeting criteria for a mental health disorder with significant associated impairment, and the comparatively few youth receiving services. School-based mental health care may address the need-services gap by offering services more equitably to youth in need, irrespective of family economic resources, availability of transportation, and other factors that can impede access to community clinics. However, diagnoses alone do not fully capture the severity of an individual's mental health status and need for services. Studying service use only in relation to diagnoses may restrict our understanding of the degree to which service use is reflective of service need, and inhibit our ability to compare school and non-school-based outpatient settings on their responsiveness to service need. The present study evaluated predictors of mental health service use in school- and community-based settings for youth who had had an active case in one of two public sectors of care, comparing empirically-derived dimensional measurements of youth mental health service need and impairment ratings against non-need variables (e.g., ethnicity, income). Three dimensions of youth mental health service need were identified. Mental health service need and non-need variables each played a significant predictive role. Parent-rated impairment was the strongest need-based predictor of service use across settings. The impact of non-need variables varied by service setting, with parental income having a particularly noticeable effect on school-based services. Across time, preceding service use and impairment each significantly predicted future service use.

  6. Noninvasive evaluation of mental stress using by a refined rough set technique based on biomedical signals.

    Science.gov (United States)

    Liu, Tung-Kuan; Chen, Yeh-Peng; Hou, Zone-Yuan; Wang, Chao-Chih; Chou, Jyh-Horng

    2014-06-01

    Evaluating and treating of stress can substantially benefits to people with health problems. Currently, mental stress evaluated using medical questionnaires. However, the accuracy of this evaluation method is questionable because of variations caused by factors such as cultural differences and individual subjectivity. Measuring of biomedical signals is an effective method for estimating mental stress that enables this problem to be overcome. However, the relationship between the levels of mental stress and biomedical signals remain poorly understood. A refined rough set algorithm is proposed to determine the relationship between mental stress and biomedical signals, this algorithm combines rough set theory with a hybrid Taguchi-genetic algorithm, called RS-HTGA. Two parameters were used for evaluating the performance of the proposed RS-HTGA method. A dataset obtained from a practice clinic comprising 362 cases (196 male, 166 female) was adopted to evaluate the performance of the proposed approach. The empirical results indicate that the proposed method can achieve acceptable accuracy in medical practice. Furthermore, the proposed method was successfully used to identify the relationship between mental stress levels and bio-medical signals. In addition, the comparison between the RS-HTGA and a support vector machine (SVM) method indicated that both methods yield good results. The total averages for sensitivity, specificity, and precision were greater than 96%, the results indicated that both algorithms produced highly accurate results, but a substantial difference in discrimination existed among people with Phase 0 stress. The SVM algorithm shows 89% and the RS-HTGA shows 96%. Therefore, the RS-HTGA is superior to the SVM algorithm. The kappa test results for both algorithms were greater than 0.936, indicating high accuracy and consistency. The area under receiver operating characteristic curve for both the RS-HTGA and a SVM method were greater than 0.77, indicating

  7. Priority setting in HIV/AIDS control in West Java Indonesia: an evaluation based on the accountability for reasonableness framework.

    Science.gov (United States)

    Tromp, Noor; Prawiranegara, Rozar; Subhan Riparev, Harris; Siregar, Adiatma; Sunjaya, Deni; Baltussen, Rob

    2015-04-01

    Indonesia has insufficient resources to adequately respond to the HIV/AIDS epidemic, and thus faces a great challenge in prioritizing interventions. In many countries, such priority setting processes are typically ad hoc and not transparent leading to unfair decisions. Here, we evaluated the priority setting process in HIV/AIDS control in West Java province against the four conditions of the accountability for reasonableness (A4R) framework: relevance, publicity, appeals and revision, and enforcement. We reviewed government documents and conducted semi-structured qualitative interviews based on the A4R framework with 22 participants of the 5-year HIV/AIDS strategy development for 2008-13 (West Java province) and 2007-11 (Bandung). We found that criteria for priority setting were used implicitly and that the strategies included a wide range of programmes. Many stakeholders were involved in the process but their contribution could be improved and particularly the public and people living with HIV/AIDS could be better engaged. The use of appeal and publicity mechanisms could be more transparent and formally stated. Public regulations are not yet installed to ensure fair priority setting. To increase fairness in HIV/AIDS priority setting, West Java should make improvements on all four conditions of the A4R framework. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine © The Author 2014; all rights reserved.

  8. The effect of goal setting on fruit and vegetable consumption and physical activity level in a Web-based intervention.

    Science.gov (United States)

    O'Donnell, Stephanie; Greene, Geoffrey W; Blissmer, Bryan

    2014-01-01

    To explore the relationship between goal setting and fruit and vegetable (FV) consumption and physical activity (PA) in an intervention for college students. Secondary data analysis of intervention group participants from a 10-week online intervention with complete weekly data (n = 724). Outcomes (cups of FV per day and minutes of PA per week) and goals for both behaviors were reported online each week. Weekly differences between goals and behaviors were calculated, as well as the proportion meeting individual goals and meeting recommendations for behaviors. There were significant (P goal setting on both behaviors and of goal group (tertile of meeting weekly goals) on behavior, as well as meeting recommendations for both behaviors. There was an increase in FV consumption (P Goal setting as part of a Web-based intervention for college students was effective, but results differed for FV and PA. Goal setting for maintaining behavior may need to differ from goal setting for changing behavior. Copyright © 2014 Society for Nutrition Education and Behavior. Published by Elsevier Inc. All rights reserved.

  9. Computerized detection of multiple sclerosis candidate regions based on a level set method using an artificial neural network

    International Nuclear Information System (INIS)

    Kuwazuru, Junpei; Magome, Taiki; Arimura, Hidetaka; Yamashita, Yasuo; Oki, Masafumi; Toyofuku, Fukai; Kakeda, Shingo; Yamamoto, Daisuke

    2010-01-01

    Yamamoto et al. developed the system for computer-aided detection of multiple sclerosis (MS) candidate regions. In a level set method in their proposed method, they employed the constant threshold value for the edge indicator function related to a speed function of the level set method. However, it would be appropriate to adjust the threshold value to each MS candidate region, because the edge magnitudes in MS candidates differ from each other. Our purpose of this study was to develop a computerized detection of MS candidate regions in MR images based on a level set method using an artificial neural network (ANN). To adjust the threshold value for the edge indicator function in the level set method to each true positive (TP) and false positive (FP) region, we constructed the ANN. The ANN could provide the suitable threshold value for each candidate region in the proposed level set method so that TP regions can be segmented and FP regions can be removed. Our proposed method detected MS regions at a sensitivity of 82.1% with 0.204 FPs per slice and similarity index of MS candidate regions was 0.717 on average. (author)

  10. Radar Emission Sources Identification Based on Hierarchical Agglomerative Clustering for Large Data Sets

    Directory of Open Access Journals (Sweden)

    Janusz Dudczyk

    2016-01-01

    Full Text Available More advanced recognition methods, which may recognize particular copies of radars of the same type, are called identification. The identification process of radar devices is a more specialized task which requires methods based on the analysis of distinctive features. These features are distinguished from the signals coming from the identified devices. Such a process is called Specific Emitter Identification (SEI. The identification of radar emission sources with the use of classic techniques based on the statistical analysis of basic measurable parameters of a signal such as Radio Frequency, Amplitude, Pulse Width, or Pulse Repetition Interval is not sufficient for SEI problems. This paper presents the method of hierarchical data clustering which is used in the process of radar identification. The Hierarchical Agglomerative Clustering Algorithm (HACA based on Generalized Agglomerative Scheme (GAS implemented and used in the research method is parameterized; therefore, it is possible to compare the results. The results of clustering are presented in dendrograms in this paper. The received results of grouping and identification based on HACA are compared with other SEI methods in order to assess the degree of their usefulness and effectiveness for systems of ESM/ELINT class.

  11. Is facility based neonatal care in low resource setting keeping pace ...

    African Journals Online (AJOL)

    Many com- munity based interventions designed to address neonatal mortality ... ties, local data is very crucial but still very scanty7. ... The nurses work in 8 hour shifts and on average each shift has .... In-born. Home. Total (%). Low APGAR Score. 7 (3.9). 173 (96.1). 0 (0.0). 180(15.1) ..... entry, literature search and write up.

  12. Efficient data association for view based SLAM using connected dominating sets

    NARCIS (Netherlands)

    Booij, O.; Zivkovic, Z.; Kröse, B.

    2009-01-01

    Loop closing in vision based SLAM applications is a difficult task. Comparing new image data with all previously acquired image data is practically impossible because of the high computational costs. Most approaches therefore compare new data with only a subset of the old data, for example by

  13. An Assessment of Resource Availability for Problem Based Learning in a Ghanaian University Setting

    Science.gov (United States)

    Okyere, Gabriel Asare; Tawiah, Richard; Lamptey, Richard Bruce; Oduro, William; Thompson, Michael

    2017-01-01

    Purpose: The purpose of this paper is to assess the differences pertaining to the resources presently accessible for problem-based learning (PBL) among six colleges of Kwame Nkrumah University of Science and Technology (KNUST) in Ghana. Design/methodology/approach: Data for the study are the cross-sectional type drawn from 1,020 students. Poisson…

  14. Appropriateness to set a group health‐based guidance value for fumonisins and their modified forms

    DEFF Research Database (Denmark)

    Petersen, Annette

    2018-01-01

    The EFSA Panel on Contaminants in the Food Chain (CONTAM) established a tolerable daily intake (TDI) for fumonisin B1 (FB1) of 1.0 μg/kg body weight (bw) per day based on increased incidence of megalocytic hepatocytes found in a chronic study with mice. The CONTAM Panel considered the limited data...

  15. Animals, Emperors, Senses: Exploring a Story-Based Learning Design in a Museum Setting

    Science.gov (United States)

    Murmann, Mai; Avraamidou, Lucy

    2014-01-01

    The aim of this qualitative case study was to explore the use of stories as tools for learning within formal and informal learning environments. The design was based on three areas of interest: (a) the story as a tool for learning; (b) the student as subjects engaging with the story; and (c) the context in which the story learning activity takes…

  16. Sets of disjoint snakes based on a Reed-Muller code and covering the hypercube

    NARCIS (Netherlands)

    Van Zanten, A.J.; Haryanto, L.

    2008-01-01

    A snake-in-the-box code (or snake) of word length n is a simple circuit in an n-dimensional cube Q n , with the additional property that any two non-neighboring words in the circuit differ in at least two positions. To construct such snakes a straightforward, non-recursive method is developed based

  17. Hydrological landscape settings of base-rich fen mires and fen meadows : an overview

    NARCIS (Netherlands)

    Grootjans, A.P.; Adema, E.B.; Bleuten, W.; Joosten, H.; Madaras, M.; Janáková, M.; Middleton, B.

    2006-01-01

    Question: Why do similar fen meadow communities occur in different landscapes? How does the hydrological system sustain base-rich fen mires and fen meadows? Location: Interdunal wetlands and heathland pools in The Netherlands, percolation mires in Germany, Poland, and Siberia, and calcareous spring

  18. Using Goal Setting and Task Analysis to Enhance Task-Based Language Learning and Teaching

    Science.gov (United States)

    Rubin, Joan

    2015-01-01

    Task-Based Language Learning and Teaching has received sustained attention from teachers and researchers for over thirty years. It is a well-established pedagogy that includes the following characteristics: major focus on authentic and real-world tasks, choice of linguistic resources by learners, and a clearly defined non-linguistic outcome. This…

  19. Quality Improvement in Home-Based Child Care Settings: Research Resources to Inform Policy

    Science.gov (United States)

    Lawrence, Sharmila; Stephens, Samuel A.

    2016-01-01

    This "Topic of Interest" provides a comprehensive list of research in the Research Connections collection that was published in 2005 or later addressing issues related to quality improvement specifically in home-based child care. The resources are grouped under the following headings: Overviews, Summaries, and Reviews of Quality…

  20. Trial-Based Functional Analysis and Functional Communication Training in an Early Childhood Setting

    Science.gov (United States)

    Lambert, Joseph M.; Bloom, Sarah E.; Irvin, Jennifer

    2012-01-01

    Problem behavior is common in early childhood special education classrooms. Functional communication training (FCT; Carr & Durand, 1985) may reduce problem behavior but requires identification of its function. The trial-based functional analysis (FA) is a method that can be used to identify problem behavior function in schools. We conducted…

  1. Challenges and Opportunities for Learning Biology in Distance-Based Settings

    Science.gov (United States)

    Hallyburton, Chad L.; Lunsford, Eddie

    2013-01-01

    The history of learning biology through distance education is documented. A review of terminology and unique problems associated with biology instruction is presented. Using published research and their own teaching experience, the authors present recommendations and best practices for managing biology in distance-based formats. They offer ideas…

  2. Beyond Traditional Art Education: Transformative Lifelong Learning in Community-Based Settings with Older Adults

    Science.gov (United States)

    Lawton, Pamela Harris; La Porte, Angela M.

    2013-01-01

    Quality community-based art education programs for older adults over the age of 50 should exploit the broad range of interests and cognitive abilities of participants by utilizing adult education theory, brain research, and the best practices of adult art education programs. We consider a developing paradigm on the cognitive abilities of the…

  3. Spatial downscaling of soil prediction models based on weighted generalized additive models in smallholder farm settings.

    Science.gov (United States)

    Xu, Yiming; Smith, Scot E; Grunwald, Sabine; Abd-Elrahman, Amr; Wani, Suhas P; Nair, Vimala D

    2017-09-11

    Digital soil mapping (DSM) is gaining momentum as a technique to help smallholder farmers secure soil security and food security in developing regions. However, communications of the digital soil mapping information between diverse audiences become problematic due to the inconsistent scale of DSM information. Spatial downscaling can make use of accessible soil information at relatively coarse spatial resolution to provide valuable soil information at relatively fine spatial resolution. The objective of this research was to disaggregate the coarse spatial resolution soil exchangeable potassium (K ex ) and soil total nitrogen (TN) base map into fine spatial resolution soil downscaled map using weighted generalized additive models (GAMs) in two smallholder villages in South India. By incorporating fine spatial resolution spectral indices in the downscaling process, the soil downscaled maps not only conserve the spatial information of coarse spatial resolution soil maps but also depict the spatial details of soil properties at fine spatial resolution. The results of this study demonstrated difference between the fine spatial resolution downscaled maps and fine spatial resolution base maps is smaller than the difference between coarse spatial resolution base maps and fine spatial resolution base maps. The appropriate and economical strategy to promote the DSM technique in smallholder farms is to develop the relatively coarse spatial resolution soil prediction maps or utilize available coarse spatial resolution soil maps at the regional scale and to disaggregate these maps to the fine spatial resolution downscaled soil maps at farm scale.

  4. Development of Population-Based Resilience Measures in the Primary School Setting

    Science.gov (United States)

    Sun, Jing; Stewart, Donald

    2007-01-01

    Purpose: The purpose of the population-based study in the paper is to report on progress in formulating instruments to measure children's resilience and associated protective factors in family, primary school and community contexts. Design/methodology/approach: In this paper a total of 2,794 students, 1,558 parents/caregivers, and 465 staff were…

  5. Effective representation and storage of mass spectrometry-based proteomic data sets for the scientific community

    DEFF Research Database (Denmark)

    Olsen, Jesper V; Mann, Matthias

    2011-01-01

    Mass spectrometry-based proteomics has emerged as a technology of choice for global analysis of cell signaling networks. However, reporting and sharing of MS data are often haphazard, limiting the usefulness of proteomics to the signaling community. We argue that raw data should always be provided...... mechanisms for community-wide sharing of these data....

  6. Fast-Solving Quasi-Optimal LS-S3VM Based on an Extended Candidate Set.

    Science.gov (United States)

    Ma, Yuefeng; Liang, Xun; Kwok, James T; Li, Jianping; Zhou, Xiaoping; Zhang, Haiyan

    2018-04-01

    The semisupervised least squares support vector machine (LS-S 3 VM) is an important enhancement of least squares support vector machines in semisupervised learning. Given that most data collected from the real world are without labels, semisupervised approaches are more applicable than standard supervised approaches. Although a few training methods for LS-S 3 VM exist, the problem of deriving the optimal decision hyperplane efficiently and effectually has not been solved. In this paper, a fully weighted model of LS-S 3 VM is proposed, and a simple integer programming (IP) model is introduced through an equivalent transformation to solve the model. Based on the distances between the unlabeled data and the decision hyperplane, a new indicator is designed to represent the possibility that the label of an unlabeled datum should be reversed in each iteration during training. Using the indicator, we construct an extended candidate set consisting of the indices of unlabeled data with high possibilities, which integrates more information from unlabeled data. Our algorithm is degenerated into a special scenario of the previous algorithm when the extended candidate set is reduced into a set with only one element. Two strategies are utilized to determine the descent directions based on the extended candidate set. Furthermore, we developed a novel method for locating a good starting point based on the properties of the equivalent IP model. Combined with the extended candidate set and the carefully computed starting point, a fast algorithm to solve LS-S 3 VM quasi-optimally is proposed. The choice of quasi-optimal solutions results in low computational cost and avoidance of overfitting. Experiments show that our algorithm equipped with the two designed strategies is more effective than other algorithms in at least one of the following three aspects: 1) computational complexity; 2) generalization ability; and 3) flexibility. However, our algorithm and other algorithms have

  7. Simulation of spatiotemporal CT data sets using a 4D MRI-based lung motion model.

    Science.gov (United States)

    Marx, Mirko; Ehrhardt, Jan; Werner, René; Schlemmer, Heinz-Peter; Handels, Heinz

    2014-05-01

    Four-dimensional CT imaging is widely used to account for motion-related effects during radiotherapy planning of lung cancer patients. However, 4D CT often contains motion artifacts, cannot be used to measure motion variability, and leads to higher dose exposure. In this article, we propose using 4D MRI to acquire motion information for the radiotherapy planning process. From the 4D MRI images, we derive a time-continuous model of the average patient-specific respiratory motion, which is then applied to simulate 4D CT data based on a static 3D CT. The idea of the motion model is to represent the average lung motion over a respiratory cycle by cyclic B-spline curves. The model generation consists of motion field estimation in the 4D MRI data by nonlinear registration, assigning respiratory phases to the motion fields, and applying a B-spline approximation on a voxel-by-voxel basis to describe the average voxel motion over a breathing cycle. To simulate a patient-specific 4D CT based on a static CT of the patient, a multi-modal registration strategy is introduced to transfer the motion model from MRI to the static CT coordinates. Differences between model-based estimated and measured motion vectors are on average 1.39 mm for amplitude-based binning of the 4D MRI data of three patients. In addition, the MRI-to-CT registration strategy is shown to be suitable for the model transformation. The application of our 4D MRI-based motion model for simulating 4D CT images provides advantages over standard 4D CT (less motion artifacts, radiation-free). This makes it interesting for radiotherapy planning.

  8. Using intranet-based order sets to standardize clinical care and prepare for computerized physician order entry.

    Science.gov (United States)

    Heffner, John E; Brower, Kathleen; Ellis, Rosemary; Brown, Shirley

    2004-07-01

    The high cost of computerized physician order entry (CPOE) and physician resistance to standardized care have delayed implementation. An intranet-based order set system can provide some of CPOE's benefits and offer opportunities to acculturate physicians toward standardized care. INTRANET CLINICIAN ORDER FORMS (COF): The COF system at the Medical University of South Carolina (MUSC) allows caregivers to enter and print orders through the intranet at points of care and to access decision support resources. Work on COF began in March 2000 with transfer of 25 MUSC paper-based order set forms to an intranet site. Physician groups developed additional order sets, which number more than 200. Web traffic increased progressively during a 24-month period, peaking at more than 6,400 hits per month to COF. Decision support tools improved compliance with Centers for Medicare & Medicaid Services core indicators. Clinicians demonstrated a willingness to develop and use order sets and decision support tools posted on the COF site. COF provides a low-cost method for preparing caregivers and institutions to adopt CPOE and standardization of care. The educational resources, relevant links to external resources, and communication alerts will all link to CPOE, thereby providing a head start in CPOE implementation.

  9. A Novel Evaluation Model for Hybrid Power System Based on Vague Set and Dempster-Shafer Evidence Theory

    Directory of Open Access Journals (Sweden)

    Dongxiao Niu

    2012-01-01

    Full Text Available Because clean energy and traditional energy have different advantages and disadvantages, it is of great significance to evaluate comprehensive benefits for hybrid power systems. Based on thorough analysis of important characters on hybrid power systems, an index system including security, economic benefit, environmental benefit, and social benefit is established in this paper. Due to advantages of processing abundant uncertain and fuzzy information, vague set is used to determine the decision matrix. Convert vague decision matrix to real one by vague combination ruleand determine uncertain degrees of different indexes by grey incidence analysis, then the mass functions of different comment set in different indexes are obtained. Information can be fused in accordance with Dempster-Shafer (D-S combination rule and the evaluation result is got by vague set and D-S evidence theory. A simulation of hybrid power system including thermal power, wind power, and photovoltaic power in China is provided to demonstrate the effectiveness and potential of the proposed design scheme. It can be clearly seen that the uncertainties in decision making can be dramatically decreased compared with existing methods in the literature. The actual implementation results illustrate that the proposed index system and evaluation model based on vague set and D-S evidence theory are effective and practical to evaluate comprehensive benefit of hybrid power system.

  10. [Prediction of the total Japanese cedar pollen counts based on male flower-setting conditions of standard trees].

    Science.gov (United States)

    Yuta, Atsushi; Ukai, Kotaro; Sakakura, Yasuo; Tani, Hideshi; Matsuda, Fukiko; Yang, Tian-qun; Majima, Yuichi

    2002-07-01

    We made a prediction of the Japanese cedar (Cryptomeria japonica) pollen counts at Tsu city based on male flower-setting conditions of standard trees. The 69 standard trees from 23 kinds of clones, planted at Mie Prefecture Science and Technology Promotion Center (Hakusan, Mie) in 1964, were selected. Male flower-setting conditions for 276 faces (69 trees x 4 points of the compass) were scored from 0 to 3. The average of scores and total pollen counts from 1988 to 2000 was analyzed. As the results, the average scores from standard trees and total pollen counts except two mass pollen-scattered years in 1995 and 2000 had a positive correlation (r = 0.914) by linear function. On the mass pollen-scattered years, pollen counts were influenced from the previous year. Therefore, the score of the present year minus that of the previous year were used for analysis. The average scores from male flower-setting conditions and pollen counts had a strong positive correlation (r = 0.994) when positive scores by taking account of the previous year were analyzed. We conclude that prediction of pollen counts are possible based on the male flower-setting conditions of standard trees.

  11. Defect inspection in hot slab surface: multi-source CCD imaging based fuzzy-rough sets method

    Science.gov (United States)

    Zhao, Liming; Zhang, Yi; Xu, Xiaodong; Xiao, Hong; Huang, Chao

    2016-09-01

    To provide an accurate surface defects inspection method and make the automation of robust image region of interests(ROI) delineation strategy a reality in production line, a multi-source CCD imaging based fuzzy-rough sets method is proposed for hot slab surface quality assessment. The applicability of the presented method and the devised system are mainly tied to the surface quality inspection for strip, billet and slab surface etcetera. In this work we take into account the complementary advantages in two common machine vision (MV) systems(line array CCD traditional scanning imaging (LS-imaging) and area array CCD laser three-dimensional (3D) scanning imaging (AL-imaging)), and through establishing the model of fuzzy-rough sets in the detection system the seeds for relative fuzzy connectedness(RFC) delineation for ROI can placed adaptively, which introduces the upper and lower approximation sets for RIO definition, and by which the boundary region can be delineated by RFC region competitive classification mechanism. For the first time, a Multi-source CCD imaging based fuzzy-rough sets strategy is attempted for CC-slab surface defects inspection that allows an automatic way of AI algorithms and powerful ROI delineation strategies to be applied to the MV inspection field.

  12. Outcomes of a Community-Based Paediatric Weight Management Programme in an Irish Midlands Setting

    LENUS (Irish Health Repository)

    Bennett, AE

    2018-02-01

    Ongoing investigation is needed into feasible approaches which reduce excess weight in childhood. This study aimed to assess the effectiveness of an adapted version of the Scottish Childhood Overweight Treatment Trial (SCOTT) in an Irish primary care setting. Families were offered monthly dietitian-led sessions for six months. These sessions targeted dietary habits, family meals, screen time and exercise. Of the 95 children (mean age 7.6 years) referred, 90.5% (n86) were obese and 9.5% (n9) were overweight. Fifty-one (53.7%) families opted into the programme from referral, and 18 completed the programme (64.7% attrition). Statistically significant reductions in body mass index (BMI) were observed between sessions one and six (25.7±4.2kg\\/m2 and 25.3±4.8kg\\/m2, respectively, p<0.01). BMI z-score modestly decreased by 0.2 (p=0.01). Despite these reductions, issues with programme referral, attrition and long-term effectiveness were evident. Further investigation into strategies which reduce paediatric overweight is warranted.

  13. Engineering Application Way of Faults Knowledge Discovery Based on Rough Set Theory

    International Nuclear Information System (INIS)

    Zhao Rongzhen; Deng Linfeng; Li Chao

    2011-01-01

    For the knowledge acquisition puzzle of intelligence decision-making technology in mechanical industry, to use the Rough Set Theory (RST) as a kind of tool to solve the puzzle was researched. And the way to realize the knowledge discovery in engineering application is explored. A case extracting out the knowledge rules from a concise data table shows out some important information. It is that the knowledge discovery similar to the mechanical faults diagnosis is an item of complicated system engineering project. In where, first of all-important tasks is to preserve the faults knowledge into a table with data mode. And the data must be derived from the plant site and should also be as concise as possible. On the basis of the faults knowledge data obtained so, the methods and algorithms to process the data and extract the knowledge rules from them by means of RST can be processed only. The conclusion is that the faults knowledge discovery by the way is a process of rising upward. But to develop the advanced faults diagnosis technology by the way is a large-scale knowledge engineering project for long time. Every step in which should be designed seriously according to the tool's demands firstly. This is the basic guarantees to make the knowledge rules obtained have the values of engineering application and the studies have scientific significance. So, a general framework is designed for engineering application to go along the route developing the faults knowledge discovery technology.

  14. Age-Related Changes of the Ocular Surface: A Hospital Setting-Based Retrospective Study

    Directory of Open Access Journals (Sweden)

    Laura Ottobelli

    2014-01-01

    Full Text Available Purpose. To investigate the effects of age on the prevalence of ocular surface diseases (OSD, adherence to treatment, and recovery rates. Patients and Methods. Retrospective analysis of 3000 clinical records from a first-level general ophthalmology clinic. Patients with OSD were prospectively submitted a questionnaire to assess compliance and recovery rates. Results. OSD prevalence was 10.3%. Patients with OSD were significantly older than patients without it: 67.5±20.3 versus 57.0±22.0 years (P=0.036. No significant difference in season distribution was shown. Dry eye disease (DED represented 58% of OSD; its prevalence increased with age until 80 years old and suddenly decreased thereafter. Asymptomatic DED was 37%. Adherence to treatment in OSD was very high (94%; recovery rates were lower in patients aged 21–40 and 61–80 (resp., 65.5% and 77.8% and this was associated with higher OSDI scores. Tear substitutes represented 50% of all prescribed medications; their use increased with age. Discussion. In a “real-life” low-tech setting, OSD showed a prevalence of 10.3%. DED was the most prevalent disease, and it was asymptomatic in more than 1/3 of cases.

  15. Shuffled Frog Leaping Algorithm for Preemptive Project Scheduling Problems with Resource Vacations Based on Patterson Set

    Directory of Open Access Journals (Sweden)

    Yi Han

    2013-01-01

    Full Text Available This paper presents a shuffled frog leaping algorithm (SFLA for the single-mode resource-constrained project scheduling problem where activities can be divided into equant units and interrupted during processing. Each activity consumes 0–3 types of resources which are renewable and temporarily not available due to resource vacations in each period. The presence of scarce resources and precedence relations between activities makes project scheduling a difficult and important task in project management. A recent popular metaheuristic shuffled frog leaping algorithm, which is enlightened by the predatory habit of frog group in a small pond, is adopted to investigate the project makespan improvement on Patterson benchmark sets which is composed of different small and medium size projects. Computational results demonstrate the effectiveness and efficiency of SFLA in reducing project makespan and minimizing activity splitting number within an average CPU runtime, 0.521 second. This paper exposes all the scheduling sequences for each project and shows that of the 23 best known solutions have been improved.

  16. A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts

    Directory of Open Access Journals (Sweden)

    Hossein Hassani

    2015-08-01

    Full Text Available This paper introduces a complement statistical test for distinguishing between the predictive accuracy of two sets of forecasts. We propose a non-parametric test founded upon the principles of the Kolmogorov-Smirnov (KS test, referred to as the KS Predictive Accuracy (KSPA test. The KSPA test is able to serve two distinct purposes. Initially, the test seeks to determine whether there exists a statistically significant difference between the distribution of forecast errors, and secondly it exploits the principles of stochastic dominance to determine whether the forecasts with the lower error also reports a stochastically smaller error than forecasts from a competing model, and thereby enables distinguishing between the predictive accuracy of forecasts. We perform a simulation study for the size and power of the proposed test and report the results for different noise distributions, sample sizes and forecasting horizons. The simulation results indicate that the KSPA test is correctly sized, and robust in the face of varying forecasting horizons and sample sizes along with significant accuracy gains reported especially in the case of small sample sizes. Real world applications are also considered to illustrate the applicability of the proposed KSPA test in practice.

  17. A risk-based approach to setting priorities in protecting bridges against terrorist attacks.

    Science.gov (United States)

    Leung, Maria; Lambert, James H; Mosenthal, Alexander

    2004-08-01

    This article presents an approach to the problem of terrorism risk assessment and management by adapting the framework of the risk filtering, ranking, and management method. The assessment is conducted at two levels: (1) the system level, and (2) the asset-specific level. The system-level risk assessment attempts to identify and prioritize critical infrastructures from an inventory of system assets. The definition of critical infrastructures offered by Presidential Decision Directive 63 was used to determine the set of attributes to identify critical assets--categorized according to national, regional, and local impact. An example application is demonstrated using information from the Federal Highway Administration National Bridge Inventory for the State of Virginia. Conversely, the asset-specific risk assessment performs an in-depth analysis of the threats and vulnerabilities of a specific critical infrastructure. An illustration is presented to offer some insights in risk scenario identification and prioritization, multiobjective evaluation of management options, and extreme-event analysis for critical infrastructure protection.

  18. Vague Sets Security Measure for Steganographic System Based on High-Order Markov Model

    Directory of Open Access Journals (Sweden)

    Chun-Juan Ouyang

    2017-01-01

    Full Text Available Security measure is of great importance in both steganography and steganalysis. Considering that statistical feature perturbations caused by steganography in an image are always nondeterministic and that an image is considered nonstationary, in this paper, the steganography is regarded as a fuzzy process. Here a steganographic security measure is proposed. This security measure evaluates the similarity between two vague sets of cover images and stego images in terms of n-order Markov chain to capture the interpixel correlation. The new security measure has proven to have the properties of boundedness, commutativity, and unity. Furthermore, the security measures of zero order, first order, second order, third order, and so forth are obtained by adjusting the order value of n-order Markov chain. Experimental results indicate that the larger n is, the better the measuring ability of the proposed security measure will be. The proposed security measure is more sensitive than other security measures defined under a deterministic distribution model, when the embedding is low. It is expected to provide a helpful guidance for designing secure steganographic algorithms or reliable steganalytic methods.

  19. The Sustainable Island Development Evaluation Model and Its Application Based on the Nonstructural Decision Fuzzy Set

    Directory of Open Access Journals (Sweden)

    Quanming Wang

    2013-01-01

    Full Text Available Due to the complexity and diversity of the issue of sustainable island development, no widely accepted and applicable evaluation system model regarding the issue currently exists. In this paper, we discuss and establish the sustainable development indicator system and the model approach from the perspective of resources, the island environment, the island development status, the island social development, and the island intelligence development. We reference the sustainable development theory and the sustainable development indicator system method concerning land region, combine the character of the sustainable island development, analyze and evaluate the extent of the sustainable island development, orient development, and identify the key and limited factors of sustainable island development capability. This research adopts the entropy method and the nonstructural decision fuzzy set theory model to determine the weight of the evaluating indicators. Changhai County was selected as the subject of the research, which consisted of a quantitative study of its sustainable development status from 2001 to 2008 to identify the key factors influencing its sustainability development, existing problems, and limited factors and to provide basic technical support for ocean development planning and economic development planning.

  20. Design and Implementation of a Set-Top Box-Based Homecare System Using Hybrid Cloud.

    Science.gov (United States)

    Lin, Bor-Shing; Hsiao, Pei-Chi; Cheng, Po-Hsun; Lee, I-Jung; Jan, Gene Eu

    2015-11-01

    Telemedicine has become a prevalent topic in recent years, and several telemedicine systems have been proposed; however, such systems are an unsuitable fit for the daily requirements of users. The system proposed in this study was developed as a set-top box integrated with the Android™ (Google, Mountain View, CA) operating system to provide a convenient and user-friendly interface. The proposed system can assist with family healthcare management, telemedicine service delivery, and information exchange among hospitals. To manage the system, a novel type of hybrid cloud architecture was also developed. Updated information is stored on a public cloud, enabling medical staff members to rapidly access information when diagnosing patients. In the long term, the stored data can be reduced to improve the efficiency of the database. The proposed design offers a robust architecture for storing data in a homecare system and can thus resolve network overload and congestion resulting from accumulating data, which are inherent problems in centralized architectures, thereby improving system efficiency.

  1. Spatial Block Codes Based on Unitary Transformations Derived from Orthonormal Polynomial Sets

    Directory of Open Access Journals (Sweden)

    Mandyam Giridhar D

    2002-01-01

    Full Text Available Recent work in the development of diversity transformations for wireless systems has produced a theoretical framework for space-time block codes. Such codes are beneficial in that they may be easily concatenated with interleaved trellis codes and yet still may be decoded separately. In this paper, a theoretical framework is provided for the generation of spatial block codes of arbitrary dimensionality through the use of orthonormal polynomial sets. While these codes cannot maximize theoretical diversity performance for given dimensionality, they still provide performance improvements over the single-antenna case. In particular, their application to closed-loop transmit diversity systems is proposed, as the bandwidth necessary for feedback using these types of codes is fixed regardless of the number of antennas used. Simulation data is provided demonstrating these types of codes′ performance under this implementation as compared not only to the single-antenna case but also to the two-antenna code derived from the Radon-Hurwitz construction.

  2. Molecular-based mycobacterial identification in a clinical laboratory setting: a comparison of two methods.

    LENUS (Irish Health Repository)

    O'Donnell, N

    2012-01-01

    Many mycobacterial species are pathogenic to humans, with infection occurring worldwide. Infection with Mycobacterium tuberculosis is a well-described global phenomenon, but other mycobacterial species are increasingly shown to be the cause of both pulmonary and extrapulmonary infection and are managed differently from M. tuberculosis infection. Rapid and accurate differentiation of mycobacterial species is, therefore, critical to guide timely and appropriate therapeutic and public health management. This study evaluates two commercially available DNA strip assays, the Genotype Common Mycobacteria (CM) assay (Hain Lifescience, Nehren, Germany) and the Speed-oligo Mycobacteria assay (Vircell, Spain) for their usefulness in a clinical laboratory setting. Both assays were evaluated on 71 clinical mycobacterial isolates, previously identified using Gen-Probe AccuProbe and through a UK mycobacteriology reference laboratory, as well as 29 non-mycobacterial isolates. Concordant results were obtained for 98% of isolates using both assays. The sensitivity was 97% (95% confidence interval [CI]: 93.3-100%) for the CM assay and 98.6% (95% CI: 95.9-100%) for the Speed-oligo assay. Overall, both assays proved to be useful tools for rapid and sensitive mycobacterial species identification, although interpretation of results was easier with the CM assay. Finally, results were available within one day, compared to current identification times which range between seven days and four weeks.

  3. Maximum relevance, minimum redundancy band selection based on neighborhood rough set for hyperspectral data classification

    International Nuclear Information System (INIS)

    Liu, Yao; Chen, Yuehua; Tan, Kezhu; Xie, Hong; Wang, Liguo; Xie, Wu; Yan, Xiaozhen; Xu, Zhen

    2016-01-01

    Band selection is considered to be an important processing step in handling hyperspectral data. In this work, we selected informative bands according to the maximal relevance minimal redundancy (MRMR) criterion based on neighborhood mutual information. Two measures MRMR difference and MRMR quotient were defined and a forward greedy search for band selection was constructed. The performance of the proposed algorithm, along with a comparison with other methods (neighborhood dependency measure based algorithm, genetic algorithm and uninformative variable elimination algorithm), was studied using the classification accuracy of extreme learning machine (ELM) and random forests (RF) classifiers on soybeans’ hyperspectral datasets. The results show that the proposed MRMR algorithm leads to promising improvement in band selection and classification accuracy. (paper)

  4. Energy use in the rural areas of India: setting up a rural energy data base

    International Nuclear Information System (INIS)

    Sinha, Chandra Shekhar; Sinha, Shirish; Joshi, Veena

    1998-01-01

    Aggregating and forecasting demand are crucial parts of energy planning. While a large number of energy consumption surveys have been conducted in the past in the rural energy sector of India, the lack of sufficient data and its compilation, coupled with doubt about the quality of data, has made the task extremely difficult. This paper summarizes recent efforts to compile, computerize and analyze data from 638 village energy consumption surveys covering over 39,000 households, carried out by different organisations between 1985 and 1989. The details of the level of information provided in the survey reports, area of survey, land use pattern, asset ownership, etc., of the collated studies are presented. Results based on the analysis of the energy consumption data compiled are then discussed. The paper also compares the estimates with those based on other surveys in India. (author)

  5. Preparing new nurse graduates for practice in multiple settings: a community-based academic-practice partnership model.

    Science.gov (United States)

    West, Nikki; Berman, Audrey; Karshmer, Judith; Prion, Susan; Van, Paulina; Wallace, Jonalyn

    2014-06-01

    Responding to local and national concerns about the nursing workforce, the California Institute for Nursing and Health Care worked with private and public funders and community health care partners to establish community-based transition-to-practice programs for new RN graduates unable to secure nursing positions in the San Francisco Bay Area. The goals were to retain new RN graduates in nursing and further develop their skills and competencies to increase their employability. Leaders from academic and inpatient, ambulatory, and community-based practice settings, as well as additional community partners, collaboratively provided four 12- to 16-week pilot transition programs in 2010-2011. A total of 345 unemployed new nurse graduates enrolled. Eighty-four percent of 188 respondents to a post-program survey were employed in inpatient and community settings 3 months after completion. Participants and clinical preceptors also reported increases in confidence and competence. Copyright 2014, SLACK Incorporated.

  6. A topology optimization method based on the level set method for the design of negative permeability dielectric metamaterials

    DEFF Research Database (Denmark)

    Otomori, Masaki; Yamada, Takayuki; Izui, Kazuhiro

    2012-01-01

    This paper presents a level set-based topology optimization method for the design of negative permeability dielectric metamaterials. Metamaterials are artificial materials that display extraordinary physical properties that are unavailable with natural materials. The aim of the formulated...... optimization problem is to find optimized layouts of a dielectric material that achieve negative permeability. The presence of grayscale areas in the optimized configurations critically affects the performance of metamaterials, positively as well as negatively, but configurations that contain grayscale areas...... are highly impractical from an engineering and manufacturing point of view. Therefore, a topology optimization method that can obtain clear optimized configurations is desirable. Here, a level set-based topology optimization method incorporating a fictitious interface energy is applied to a negative...

  7. The Mentalization-Based Therapy Adherence and Quality Scale (MBT-AQS): Reliability in a clinical setting

    DEFF Research Database (Denmark)

    Simonsen, Sebastian; Juul, Sophie; Kongerslev, Mickey

    2018-01-01

    The Mentalization-Based Treatment Adherence and Quality Scale (MBT-AQS) is a 17-item measure of treatment adherence and quality of individual mentalization-based therapy (MBT). Until now, reliability research on the scale has primarily been conducted by highly experienced raters from the Norwegian...... MBT therapists in a clinical setting following a brief one-day training course. The overall reliabilities for six raters were good for adherence (.67) and for quality (.62). Thus, the MBT-AQS was found to be an appropriate MBT adherence rating instrument with clinical and educational utility outside...... MBT Quality Lab who were part of its development. Hence, it can be questioned whether only experts in research settings can achieve satisfying levels of reliability on the scale. In this study, we investigated whether a satisfying level of reliability on the MBT-AQS could be obtained by experienced...

  8. ANALYSIS DATA SETS USING HYBRID TECHNIQUES APPLIED ARTIFICIAL INTELLIGENCE BASED PRODUCTION SYSTEMS INTEGRATED DESIGN

    OpenAIRE

    Daniel-Petru GHENCEA; Miron ZAPCIU; Claudiu-Florinel BISU; Elena-Iuliana BOTEANU; Elena-Luminiţa OLTEANU

    2017-01-01

    The paper proposes a prediction model of behavior spindle from the point of view of the thermal deformations and the level of the vibrations by highlighting and processing the characteristic equations. This is a model analysis for the shaft with similar electro-mechanical characteristics can be achieved using a hybrid analysis based on artificial intelligence (genetic algorithms - artificial neural networks - fuzzy logic). The paper presents a prediction mode obtaining valid range of values f...

  9. Nanostructured and nanolayer coatings based on nitrides of the metals structure study and structure and composition standard samples set development

    Directory of Open Access Journals (Sweden)

    E. B. Chabina

    2014-01-01

    Full Text Available Researches by methods of analytical microscopy and the x-ray analysis have allowed to develop a set of standard samples of composition and structure of the strengthening nanostructured and nanolayer coatings for control of the strengthening nanostructured and nanolayer coatings based on nitrides of the metals used to protect critical parts of the compressor of the gas turbine engine from dust erosion, corrosion and oxidation.

  10. A ROUGH SET DECISION TREE BASED MLP-CNN FOR VERY HIGH RESOLUTION REMOTELY SENSED IMAGE CLASSIFICATION

    Directory of Open Access Journals (Sweden)

    C. Zhang

    2017-09-01

    Full Text Available Recent advances in remote sensing have witnessed a great amount of very high resolution (VHR images acquired at sub-metre spatial resolution. These VHR remotely sensed data has post enormous challenges in processing, analysing and classifying them effectively due to the high spatial complexity and heterogeneity. Although many computer-aid classification methods that based on machine learning approaches have been developed over the past decades, most of them are developed toward pixel level spectral differentiation, e.g. Multi-Layer Perceptron (MLP, which are unable to exploit abundant spatial details within VHR images. This paper introduced a rough set model as a general framework to objectively characterize the uncertainty in CNN classification results, and further partition them into correctness and incorrectness on the map. The correct classification regions of CNN were trusted and maintained, whereas the misclassification areas were reclassified using a decision tree with both CNN and MLP. The effectiveness of the proposed rough set decision tree based MLP-CNN was tested using an urban area at Bournemouth, United Kingdom. The MLP-CNN, well capturing the complementarity between CNN and MLP through the rough set based decision tree, achieved the best classification performance both visually and numerically. Therefore, this research paves the way to achieve fully automatic and effective VHR image classification.

  11. Blended Learning and Problem Based Learning in a multinational and multidisciplinary setting

    DEFF Research Database (Denmark)

    Pedersen, Jens Myrup; Lazaro, José; Mank, Lea

    2017-01-01

    , and a project part where the students work in groups across nationalities and disciplines on real-world Projects posed by companies. This paper presents the evaluations carried out by all participating students, and discusses the experiences with the different learning components including different features...... of the Learning Management System Moodle, which was used for the modules. Moreover, it introduces the concept of just-in-time resources for Problem Based Learning, where we tackle the challenge of providing the students with methods and tools to be used in the projects just when they need it....

  12. Asthma Management in Educational Settings: Implementing Guideline-Based Care in Washington State Schools.

    Science.gov (United States)

    Evans-Agnew, Robin A; Klein, Nicole; Lecce, Sally

    2015-11-01

    Managing asthma in the schools is complex and requires careful planning. This article highlights key steps in implementing guideline-based care for children with asthma in Washington State schools: assessing students, establishing acuity, communicating with parents, and training staff. Advance planning can improve outcomes for students, parents, and school staff in managing this complex and prevalent disease. NASN recently developed asthma management guidelines. Developing state-specific guidelines provides an opportunity to speak specifically to state laws and nurse practice acts while also reinforcing the importance of specialized practice to school nurses, school administrators and teachers, parents, and students. © 2015 The Author(s).

  13. MO-AB-BRA-01: A Global Level Set Based Formulation for Volumetric Modulated Arc Therapy

    Energy Technology Data Exchange (ETDEWEB)

    Nguyen, D; Lyu, Q; Ruan, D; O’Connor, D; Low, D; Sheng, K [Department of Radiation Oncology, University of California Los Angeles, Los Angeles, CA (United States)

    2016-06-15

    Purpose: The current clinical Volumetric Modulated Arc Therapy (VMAT) optimization is formulated as a non-convex problem and various greedy heuristics have been employed for an empirical solution, jeopardizing plan consistency and quality. We introduce a novel global direct aperture optimization method for VMAT to overcome these limitations. Methods: The global VMAT (gVMAT) planning was formulated as an optimization problem with an L2-norm fidelity term and an anisotropic total variation term. A level set function was used to describe the aperture shapes and adjacent aperture shapes were penalized to control MLC motion range. An alternating optimization strategy was implemented to solve the fluence intensity and aperture shapes simultaneously. Single arc gVMAT plans, utilizing 180 beams with 2° angular resolution, were generated for a glioblastoma multiforme (GBM), lung (LNG), and 2 head and neck cases—one with 3 PTVs (H&N3PTV) and one with 4 PTVs (H&N4PTV). The plans were compared against the clinical VMAT (cVMAT) plans utilizing two overlapping coplanar arcs. Results: The optimization of the gVMAT plans had converged within 600 iterations. gVMAT reduced the average max and mean OAR dose by 6.59% and 7.45% of the prescription dose. Reductions in max dose and mean dose were as high as 14.5 Gy in the LNG case and 15.3 Gy in the H&N3PTV case. PTV coverages (D95, D98, D99) were within 0.25% of the prescription dose. By globally considering all beams, the gVMAT optimizer allowed some beams to deliver higher intensities, yielding a dose distribution that resembles a static beam IMRT plan with beam orientation optimization. Conclusions: The novel VMAT approach allows for the search of an optimal plan in the global solution space and generates deliverable apertures directly. The single arc VMAT approach fully utilizes the digital linacs’ capability in dose rate and gantry rotation speed modulation. Varian Medical Systems, NIH grant R01CA188300, NIH grant R43CA183390.

  14. Quantification of the 3D relative movement of external marker sets vs. bones based on magnetic resonance imaging.

    Science.gov (United States)

    Sangeux, M; Marin, F; Charleux, F; Dürselen, L; Ho Ba Tho, M C

    2006-11-01

    Most in vivo knee kinematic analyses are based on external markers attached to the shank and the thigh. Literature data show that markers positioning and soft tissues artifacts affect the kinematic parameters of the bones true movement. Most of the techniques of quantification used were invasive. The aim of the present study was to develop and apply a non-invasive methodology to compute the relative movement between the bones and the markers. Magnetic resonance imaging acquisitions were performed on the right knee of eleven volunteers without knee injury. The subjects were equipped with external magnetic resonance imaging-compatible marker sets. A foot drive device allowed the subjects to perform an actively loaded knee extension. The whole volume of the subject's knee was processed for four sequentially held knee flexion positions during the knee movement. The bones and external marker sets geometry were reconstructed from magnetic resonance imaging images. Then a registration algorithm was applied to the bones and the relative movement of the thigh and shank marker sets with respect to their underlying bones was computed. The protocol resulted in a good geometrical accuracy and reproducibility. Marker sets movement differ from that of the bones with a maximum of 22 mm in translation and 15 degrees in rotation and it affects the knee kinematics. Marker sets relative movement modify the knee movement finite helical axes direction (range 10-35 degrees ) and localization (range 0-40 mm). The methodology developed can evaluate external marker set system to be used for kinematic analysis in a clinical environment.

  15. Assessing the Effectiveness of Inquiry-based Learning Techniques Implemented in Large Classroom Settings

    Science.gov (United States)

    Steer, D. N.; McConnell, D. A.; Owens, K.

    2001-12-01

    Geoscience and education faculty at The University of Akron jointly developed a series of inquiry-based learning modules aimed at both non-major and major student populations enrolled in introductory geology courses. These courses typically serve 2500 students per year in four to six classes of 40-160 students each per section. Twelve modules were developed that contained common topics and assessments appropriate to Earth Science, Environmental Geology and Physical Geology classes. All modules were designed to meet four primary learning objectives agreed upon by Department of Geology faculty. These major objectives include: 1) Improvement of student understanding of the scientific method; 2) Incorporation of problem solving strategies involving analysis, synthesis, and interpretation; 3) Development of the ability to distinguish between inferences, data and observations; and 4) Obtaining an understanding of basic processes that operate on Earth. Additional objectives that may be addressed by selected modules include: 1) The societal relevance of science; 2) Use and interpretation of quantitative data to better understand the Earth; 3) Development of the students' ability to communicate scientific results; 4) Distinguishing differences between science, religion and pseudo-science; 5) Evaluation of scientific information found in the mass media; and 6) Building interpersonal relationships through in-class group work. Student pre- and post-instruction progress was evaluated by administering a test of logical thinking, an attitude toward science survey, and formative evaluations. Scores from the logical thinking instrument were used to form balanced four-person working groups based on the students' incoming cognitive level. Groups were required to complete a series of activities and/or exercises that targeted different cognitive domains based upon Bloom's taxonomy (knowledge, comprehension, application, analysis, synthesis and evaluation of information). Daily

  16. EMNCS– Lessons On The Way To An Innovation-based Development. Setting The Backgrounds

    Directory of Open Access Journals (Sweden)

    Ogrean Claudia

    2015-08-01

    Full Text Available The main focus of (the two parts of this article is on the emerging countries and their development paths. Particularly, it emphasizes on the role and contribution of innovation (of all kinds, in all its forms for multinational companies from emerging economies (EMNC; the entire research endeavor is placed under the auspices of the knowledge-based society - the one that makes knowledge the ultimate source of power, enabling entities to use and potentially multiply it at the same time at global scale. Analyzing the situation of some emerging economies (starting from their best ranked multinationals, the article draws some empirical and theoretical conclusions on the ways knowledge and innovation could become determinants of progress beyond national boundaries.

  17. From Workshops to Walkshops: Evaluating Mobile Locastion-Based Applications in Realistic Settings

    DEFF Research Database (Denmark)

    Korn, Matthias; Zander, Pär-Ola

    2010-01-01

    Many open questions on how to best observe the mobile user experience remain - at the stage of design time as well as use time. In this paper, we are focusing on the stage of design time and describe our experiences from evaluating a mobile application for citizen involvement in municipal land use...... planning. Due to the problems and issues identified after conducting several user workshops in our exemplary case process, we propose "walkshops" as a complement to traditional workshops and prototype field studies specifically to evaluate mobile location-based applications (and similar context......-aware systems). We report some problems with workshops and outline how a walkshop may be carried out. The first trials of the new method are promising and have generated valuable feedback, insights and discussions about using the mobile application within the intended contexts. Many open questions on how...

  18. Satellite-based drought monitoring in Kenya in an operational setting

    Science.gov (United States)

    Klisch, A.; Atzberger, C.; Luminari, L.

    2015-04-01

    The University of Natural Resources and Life Sciences (BOKU) in Vienna (Austria) in cooperation with the National Drought Management Authority (NDMA) in Nairobi (Kenya) has setup an operational processing chain for mapping drought occurrence and strength for the territory of Kenya using the Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI at 250 m ground resolution from 2000 onwards. The processing chain employs a modified Whittaker smoother providing consistent NDVI "Mondayimages" in near real-time (NRT) at a 7-daily updating interval. The approach constrains temporally extrapolated NDVI values based on reasonable temporal NDVI paths. Contrary to other competing approaches, the processing chain provides a modelled uncertainty range for each pixel and time step. The uncertainties are calculated by a hindcast analysis of the NRT products against an "optimum" filtering. To detect droughts, the vegetation condition index (VCI) is calculated at pixel level and is spatially aggregated to administrative units. Starting from weekly temporal resolution, the indicator is also aggregated for 1- and 3-monthly intervals considering available uncertainty information. Analysts at NDMA use the spatially/temporally aggregated VCI and basic image products for their monthly bulletins. Based on the provided bio-physical indicators as well as a number of socio-economic indicators, contingency funds are released by NDMA to sustain counties in drought conditions. The paper shows the successful application of the products within NDMA by providing a retrospective analysis applied to droughts in 2006, 2009 and 2011. Some comparisons with alternative products (e.g. FEWS NET, the Famine Early Warning Systems Network) highlight main differences.

  19. Rainfall Characteristics and Regionalization in Peninsular Malaysia Based on a High Resolution Gridded Data Set

    Directory of Open Access Journals (Sweden)

    Chee Loong Wong

    2016-11-01

    Full Text Available Daily gridded rainfall data over Peninsular Malaysia are delineated using an objective clustering algorithm, with the objective of classifying rainfall grids into groups of homogeneous regions based on the similarity of the rainfall annual cycles. It has been demonstrated that Peninsular Malaysia can be statistically delineated into eight distinct rainfall regions. This delineation is closely associated with the topographic and geographic characteristics. The variation of rainfall over the Peninsula is generally characterized by bimodal variations with two peaks, i.e., a primary peak occurring during the autumn transitional period and a secondary peak during the spring transitional period. The east coast zones, however, showed a single peak during the northeast monsoon (NEM. The influence of NEM is stronger compared to the southwest monsoon (SWM. Significantly increasing rainfall trends at 95% confidence level are not observed in all regions during the NEM, with exception of northwest zone (R1 and coastal band of west coast interior region (R3. During SWM, most areas have become drier over the last three decades. The study identifies higher variation of mean monthly rainfall over the east coast regions, but spatially, the rainfall is uniformly distributed. For the southwestern coast and west coast regions, a larger range of coefficients of variation is mostly obtained during the NEM, and to a smaller extent during the SWM. The inland region received least rainfall in February, but showed the largest spatial variation. The relationship between rainfall and the El Niño Southern Oscillation (ENSO was examined based on the Multivariate ENSO Index (MEI. Although the concurrent relationships between rainfall in the different regions and ENSO are generally weak with negative correlations, the rainfall shows stronger positive correlation with preceding ENSO signals with a time lag of four to eight months.

  20. The effect of Problem/Project-Based Learning on a desired skill set for construction professionals

    Science.gov (United States)

    Sirotiak, Todd L.

    The purpose of this study was to investigate if a Problem/Project-Based Learning (PBL) approach can affect certain non-technical, "soft" skills of construction engineers. Such skills include leadership, adaptability, and stress management. In mixed design research, quantitative and qualitative data are assembled and analyzed collectively. For this study, two separate assessment tools were used for the quantitative portion, while open-ended written reflections and a partially closed-ended senior questionnaire were implemented for the qualitative portion. A hypothetical model was used to investigate certain soft skills based on prior research documenting need. Skills investigated were confidence, stress coping, leadership, communication skills, adaptability, and management skills. Descriptive statistics, open-ended final written reflections, and a partially closed-ended senior questionnaire were used to analyze the data. PBL is a process in which the students are challenged to develop realistic solutions on open, less structured, real world type problems. The results of this study performed with the combined count of nearly 60 students suggest that PBL can influence several soft skills of senior construction engineers. Specifically, these findings demonstrate the following: (a) PBL appears to affect students' soft skills; (b) students appear to recognize the realism and "real world" applicability that PBL brings to their skill development; and (c) the data suggest that the experience is holistic and offers opportunities for balanced growth in several ways. Some key competencies such as communication and leadership indicated significant enhancements. Although this study was limited to one academic year of the university's construction engineering program, it provides interesting insight to changes within the time period investigated. This study should be replicated in other construction engineering environments to investigate a larger population sample. In addition