77 FR 30314 - Trinity Adaptive Management Working Group

Science.gov (United States)

2012-05-22

... DEPARTMENT OF THE INTERIOR Fish and Wildlife Service [FWS-R8-FHC-2012-N124: FXFR1334088TWG0W4-123-FF08EACT00] Trinity Adaptive Management Working Group AGENCY: Fish and Wildlife Service, Interior. ACTION: Notice of meeting. SUMMARY: The Trinity Adaptive Management Working Group (TAMWG) affords stakeholders...

77 FR 50155 - Trinity Adaptive Management Working Group

Science.gov (United States)

2012-08-20

... DEPARTMENT OF THE INTERIOR Fish and Wildlife Service [FWS-R8-FHC-2012-N201;FXFR1334088TWG0W4-123-FF08EACT00] Trinity Adaptive Management Working Group AGENCY: Fish and Wildlife Service, Interior. ACTION: Notice of meeting. SUMMARY: The Trinity Adaptive Management Working Group (TAMWG) affords stakeholders...

Face adaptation improves gender discrimination.

Science.gov (United States)

Yang, Hua; Shen, Jianhong; Chen, Juan; Fang, Fang

2011-01-01

Adaptation to a visual pattern can alter the sensitivities of neuronal populations encoding the pattern. However, the functional roles of adaptation, especially in high-level vision, are still equivocal. In the present study, we performed three experiments to investigate if face gender adaptation could affect gender discrimination. Experiments 1 and 2 revealed that adapting to a male/female face could selectively enhance discrimination for male/female faces. Experiment 3 showed that the discrimination enhancement induced by face adaptation could transfer across a substantial change in three-dimensional face viewpoint. These results provide further evidence suggesting that, similar to low-level vision, adaptation in high-level vision could calibrate the visual system to current inputs of complex shapes (i.e. face) and improve discrimination at the adapted characteristic. Copyright © 2010 Elsevier Ltd. All rights reserved.

78 FR 21415 - Glen Canyon Dam Adaptive Management Work Group

Science.gov (United States)

2013-04-10

... DEPARTMENT OF THE INTERIOR Bureau of Reclamation Glen Canyon Dam Adaptive Management Work Group... Adaptive Management Work Group (AMWG) makes recommendations to the Secretary of the Interior concerning... Federal advisory committee, the AMWG, a technical work group, a Grand Canyon Monitoring and Research...

The adaptive use of recognition in group decision making.

Science.gov (United States)

Kämmer, Juliane E; Gaissmaier, Wolfgang; Reimer, Torsten; Schermuly, Carsten C

2014-06-01

Applying the framework of ecological rationality, the authors studied the adaptivity of group decision making. In detail, they investigated whether groups apply decision strategies conditional on their composition in terms of task-relevant features. The authors focused on the recognition heuristic, so the task-relevant features were the validity of the group members' recognition and knowledge, which influenced the potential performance of group strategies. Forty-three three-member groups performed an inference task in which they had to infer which of two German companies had the higher market capitalization. Results based on the choice data support the hypothesis that groups adaptively apply the strategy that leads to the highest theoretically achievable performance. Time constraints had no effect on strategy use but did have an effect on the proportions of different types of arguments. Possible mechanisms underlying the adaptive use of recognition in group decision making are discussed. © 2014 Cognitive Science Society, Inc.

Using the collaborative intervention planning framework to adapt a health-care manager intervention to a new population and provider group to improve the health of people with serious mental illness.

Science.gov (United States)

Cabassa, Leopoldo J; Gomes, Arminda P; Meyreles, Quisqueya; Capitelli, Lucia; Younge, Richard; Dragatsi, Dianna; Alvarez, Juana; Manrique, Yamira; Lewis-Fernández, Roberto

2014-11-30

Health-care manager interventions improve the physical health of people with serious mental illness (SMI) and could be widely implemented in public mental health clinics. Local adaptations and customization may be needed to increase the reach of these interventions in the public mental health system and across different racial and ethnic communities. In this study, we describe how we used the collaborative intervention planning framework to customize an existing health-care manager intervention to a new patient population (Hispanics with SMI) and provider group (social workers) to increase its fit with our local community. The study was conducted in partnership with a public mental health clinic that serves predominantly Hispanic clients. A community advisory board (CAB) composed of researchers and potential implementers (e.g., social workers, primary care physicians) used the collaborative intervention planning framework, an approach that combines community-based participatory research principles and intervention mapping (IM) procedures, to inform intervention adaptations. The adaptation process included four steps: fostering collaborations between CAB members; understanding the needs of the local population through a mixed-methods needs assessment, literature reviews, and group discussions; reviewing intervention objectives to identify targets for adaptation; and developing the adapted intervention. The application of this approach enabled the CAB to identify a series of cultural and provider level-adaptations without compromising the core elements of the original health-care manager intervention. Reducing health disparities in people with SMI requires community engagement, particularly when preparing existing interventions to be used with new communities, provider groups, and practice settings. Our study illustrates one approach that can be used to involve community stakeholders in the intervention adaptation process from the very beginning to enhance the

78 FR 7810 - Glen Canyon Dam Adaptive Management Work Group

Science.gov (United States)

2013-02-04

... DEPARTMENT OF THE INTERIOR Bureau of Reclamation Glen Canyon Dam Adaptive Management Work Group... Adaptive Management Work Group (AMWG) makes recommendations to the Secretary of the Interior concerning..., the AMWG, a technical work group (TWG), a Grand Canyon Monitoring and Research Center, and independent...

77 FR 22801 - Glen Canyon Dam Adaptive Management Work Group

Science.gov (United States)

2012-04-17

... DEPARTMENT OF THE INTERIOR Bureau of Reclamation Glen Canyon Dam Adaptive Management Work Group...). SUMMARY: The Glen Canyon Dam Adaptive Management Work Group (AMWG) makes recommendations to the Secretary..., the AMWG, a technical work group, a Grand Canyon Monitoring and Research Center, and independent...

76 FR 24516 - Glen Canyon Dam Adaptive Management Work Group

Science.gov (United States)

2011-05-02

... DEPARTMENT OF THE INTERIOR Bureau of Reclamation Glen Canyon Dam Adaptive Management Work Group... Adaptive Management Work Group (AMWG) makes recommendations to the Secretary of the Interior concerning..., the AMWG, a technical work group (TWG), a Grand Canyon Monitoring and Research Center, and independent...

77 FR 9265 - Glen Canyon Dam Adaptive Management Work Group

Science.gov (United States)

2012-02-16

... DEPARTMENT OF THE INTERIOR Bureau of Reclamation Glen Canyon Dam Adaptive Management Work Group... Adaptive Management Work Group (AMWG) makes recommendations to the Secretary of the Interior concerning.... L. 102-575) of 1992. The AMP includes a Federal advisory committee, the AMWG, a technical work group...

Mink's adaptation to group housing in practice

DEFF Research Database (Denmark)

Hansen, Steffen W; Møller, Steen Henrik

2012-01-01

In this project, we test the hypothesis whether mink populations with a higher social tolerance have been developed in practice and thus are better adapted to housing in stacked cages. The hypothesis has been tested by comparing the level of bite damages and bit marks in mink kept in pairs...... and in mink kept in social groups. In total, the project included 1,191 brown mink housed on four farms in up to five different types of social groups. The result showed that mink in groups had significantly more bite marks than mink kept in pairs, and that mink with bite wounds had significantly more bite...... marks than mink that did not haev bite wounds. Thus, based upon bite mark results, we cannot confirm the hypothesis that mink populations adapted to group housing have been developed. The number of mink that had died or had been removede during the test period, or that had bite wounds at the time...

Efficacy of Stochastic Vestibular Stimulation to Improve Locomotor Performance During Adaptation to Visuomotor and Somatosensory Distortion.

Science.gov (United States)

Temple, David R; De Dios, Yiri E; Layne, Charles S; Bloomberg, Jacob J; Mulavara, Ajitkumar P

2018-01-01

Astronauts exposed to microgravity face sensorimotor challenges affecting balance control when readapting to Earth's gravity upon return from spaceflight. Small amounts of electrical noise applied to the vestibular system have been shown to improve balance control during standing and walking under discordant sensory conditions in healthy subjects, likely by enhancing information transfer through the phenomenon of stochastic resonance. The purpose of this study was to test the hypothesis that imperceptible levels of stochastic vestibular stimulation (SVS) could improve short-term adaptation to a locomotor task in a novel sensory discordant environment. Healthy subjects (14 males, 10 females, age = 28.7 ± 5.3 years, height = 167.2 ± 9.6 cm, weight = 71.0 ± 12.8 kg) were tested for perceptual thresholds to sinusoidal currents applied across the mastoids. Subjects were then randomly and blindly assigned to an SVS group receiving a 0-30 Hz Gaussian white noise electrical stimulus at 50% of their perceptual threshold (stim) or a control group receiving zero stimulation during Functional Mobility Tests (FMTs), nine trials of which were done under conditions of visual discordance (wearing up/down vision reversing goggles). Time to complete the course (TCC) was used to test the effect of SVS between the two groups across the trials. Adaptation rates from the normalized TCCs were also compared utilizing exponent values of power fit trendline equations. A one-tailed independent-samples t -test indicated these adaptation rates were significantly faster in the stim group ( n = 12) than the control ( n = 12) group [ t (16.18) = 2.00, p = 0.031]. When a secondary analysis was performed comparing "responders" (subjects who showed faster adaptation rates) of the stim ( n = 7) group to the control group ( n = 12), independent-samples t -tests revealed significantly faster trial times for the last five trials with goggles in the stim group "responders" than the controls. The data

Study on a low complexity adaptive modulation algorithm in OFDM-ROF system with sub-carrier grouping technology

Science.gov (United States)

Liu, Chong-xin; Liu, Bo; Zhang, Li-jia; Xin, Xiang-jun; Tian, Qing-hua; Tian, Feng; Wang, Yong-jun; Rao, Lan; Mao, Yaya; Li, Deng-ao

2018-01-01

During the last decade, the orthogonal frequency division multiplexing radio-over-fiber (OFDM-ROF) system with adaptive modulation technology is of great interest due to its capability of raising the spectral efficiency dramatically, reducing the effects of fiber link or wireless channel, and improving the communication quality. In this study, according to theoretical analysis of nonlinear distortion and frequency selective fading on the transmitted signal, a low-complexity adaptive modulation algorithm is proposed in combination with sub-carrier grouping technology. This algorithm achieves the optimal performance of the system by calculating the average combined signal-to-noise ratio of each group and dynamically adjusting the origination modulation format according to the preset threshold and user's requirements. At the same time, this algorithm takes the sub-carrier group as the smallest unit in the initial bit allocation and the subsequent bit adjustment. So, the algorithm complexity is only 1 /M (M is the number of sub-carriers in each group) of Fischer algorithm, which is much smaller than many classic adaptive modulation algorithms, such as Hughes-Hartogs algorithm, Chow algorithm, and is in line with the development direction of green and high speed communication. Simulation results show that the performance of OFDM-ROF system with the improved algorithm is much better than those without adaptive modulation, and the BER of the former achieves 10e1 to 10e2 times lower than the latter when SNR values gets larger. We can obtain that this low complexity adaptive modulation algorithm is extremely useful for the OFDM-ROF system.

Adaptation to natural gas of the H group

Energy Technology Data Exchange (ETDEWEB)

Klimek, V. (Aktiengesellschaft fuer Licht- und Kraftversorgung, Muenchen (F.R. Germany))

1976-07-01

The adaptation to natural gas of the 'H' group presents a necessary task from the politico-economical viewpoint which must also be fulfilled by the gas suppliers Selb-Marktredwitz und Umgebung GmbH as gas supply undertakings in the interest of its customers. About 21,000 gas devices with 8,900 customers were adjusted to natural gas of the 'H' group within the framework of the adaptation action carried out. The density of the devices was about 2.4 devices per household and about 2.0 devices per customer in the commercial field.

Improving Flood Plain Management through Adaptive Learning ...

International Development Research Centre (IDRC) Digital Library (Canada)

This project will explore how an adaptive learning approach can improve CBO governance ... for improving resource sustainability and productivity, and facilitate learning and an exchange ... Middlesex University Higher Education Corporation.

Improving GPU-accelerated adaptive IDW interpolation algorithm using fast kNN search.

Science.gov (United States)

Mei, Gang; Xu, Nengxiong; Xu, Liangliang

2016-01-01

This paper presents an efficient parallel Adaptive Inverse Distance Weighting (AIDW) interpolation algorithm on modern Graphics Processing Unit (GPU). The presented algorithm is an improvement of our previous GPU-accelerated AIDW algorithm by adopting fast k-nearest neighbors (kNN) search. In AIDW, it needs to find several nearest neighboring data points for each interpolated point to adaptively determine the power parameter; and then the desired prediction value of the interpolated point is obtained by weighted interpolating using the power parameter. In this work, we develop a fast kNN search approach based on the space-partitioning data structure, even grid, to improve the previous GPU-accelerated AIDW algorithm. The improved algorithm is composed of the stages of kNN search and weighted interpolating. To evaluate the performance of the improved algorithm, we perform five groups of experimental tests. The experimental results indicate: (1) the improved algorithm can achieve a speedup of up to 1017 over the corresponding serial algorithm; (2) the improved algorithm is at least two times faster than our previous GPU-accelerated AIDW algorithm; and (3) the utilization of fast kNN search can significantly improve the computational efficiency of the entire GPU-accelerated AIDW algorithm.

What do New Yorkers Think about Impacts and Adaptation to Heat Waves? An Evaluation Tool to Incorporate Perception of Low-Income Groups into Heat Wave Adaptation Scenarios in New York City

Directory of Open Access Journals (Sweden)

Sadra Matmir

2017-07-01

Full Text Available Low-income residents are among the most vulnerable groups to climate change in urban areas, particularly regarding heat stress. However, their perceptions about heat and the impacts they face go often undocumented, and are seldom considered in decision-making processes delivering adaptation. This paper presents a robust tool to allow the integration of perception, concerns and impacts of different income groups in urban adaptation planning and governance, using the City of New York as a case study. Employing online interviews—a solid method to reach poorer households—and Fuzzy Cognitive Mapping, we compare impacts and adaptation perception to heat and simulate adaptation scenarios. Results reveal that lower income groups are more concerned about impacts of heat waves than middle- and high-income populations. All income groups see citizens more in charge of adaptation, although more people from the lower income groups regard it necessary to do much more to protect themselves, proportionately more people from the higher income groups think they are doing the right amount. The scenario analysis shows that, compared to investments in the water/electricity and health system, improvements in the transit system would yield the largest decrease in negative impacts during heat, benefitting all income groups jointly.

Joint-Angle Specific Strength Adaptations Influence Improvements in Power in Highly Trained Athletes

Directory of Open Access Journals (Sweden)

Rhea Matthew R.

2016-03-01

Full Text Available Purpose. The purpose of this study was to examine the influence of training at different ranges of motion during the squat exercise on joint-angle specific strength adaptations. Methods. Twenty eight men were randomly assigned to one of three training groups, differing only in the depth of squats (quarter squat, half squat, and full squat performed in 16-week training intervention. Strength measures were conducted in the back squat pre-, mid-, and post-training at all three depths. Vertical jump and 40-yard sprint time were also measured. Results. Individuals in the quarter and full squat training groups improved significantly more at the specific depth at which they trained when compared to the other two groups (p < 0.05. Jump height and sprint speed improved in all groups (p < 0.05; however, the quarter squat had the greatest transfer to both outcomes. Conclusions. Consistently including quarter squats in workouts aimed at maximizing speed and jumping power can result in greater improvements.

Group sequential and confirmatory adaptive designs in clinical trials

CERN Document Server

Wassmer, Gernot

2016-01-01

This book provides an up-to-date review of the general principles of and techniques for confirmatory adaptive designs. Confirmatory adaptive designs are a generalization of group sequential designs. With these designs, interim analyses are performed in order to stop the trial prematurely under control of the Type I error rate. In adaptive designs, it is also permissible to perform a data-driven change of relevant aspects of the study design at interim stages. This includes, for example, a sample-size reassessment, a treatment-arm selection or a selection of a pre-specified sub-population. Essentially, this adaptive methodology was introduced in the 1990s. Since then, it has become popular and the object of intense discussion and still represents a rapidly growing field of statistical research. This book describes adaptive design methodology at an elementary level, while also considering designing and planning issues as well as methods for analyzing an adaptively planned trial. This includes estimation methods...

Can enriching emotional intelligence improve medical students' proactivity and adaptability during OB/GYN clerkships?

Science.gov (United States)

Guseh, Stephanie H; Chen, Xiaodong P; Johnson, Natasha R

2015-12-26

The purpose of this pilot study was to examine our hypothesis that enriching workplace emotional intelligence through resident coaches could improve third-year medical students' adaptability and proactivity on the Obstetrics and Gynecology clerkship. An observational pilot study was conducted in a teaching hospital. Fourteen 3rd year medical students from two cohorts of clerkships were randomly divided into two groups, and equally assigned to trained resident coaches and untrained resident coaches. Data was collected through onsite naturalistic observation of students' adaptability and proactivity in clinical settings using a checklist with a 4-point Likert scale (1=poor to 4=excellent). Wilcoxon rank-sum test was used to compare the differences between these two groups. A total of 280 data points were collected through onsite observations conducted by investigators. All (n=14) students' adaptability and proactivity performance significantly improved from an average of 3.04 to 3.45 (p=0.014) over 6-week clerkship. Overall, students with trained resident coaches adapted significantly faster and were more proactive in the obstetrics and gynecology clinical setting than the students with untrained coaches (3.31 vs. 3.24, p=0.019). Findings from our pilot study supported our hypothesis that enriching workplace emotional intelligence knowledge through resident coaches was able to help medical students adapt into obstetrics and gynecology clinical settings faster and become more proactive in learning. Clerkship programs can incorporate the concept of a resident coach in their curriculum to help bridge medical students into clinical settings and to help them engage in self-directed learning throughout the rotation.

Cerebellar transcranial direct current stimulation improves adaptive postural control.

Science.gov (United States)

Poortvliet, Peter; Hsieh, Billie; Cresswell, Andrew; Au, Jacky; Meinzer, Marcus

2018-01-01

Rehabilitation interventions contribute to recovery of impaired postural control, but it remains a priority to optimize their effectiveness. A promising strategy may involve transcranial direct current stimulation (tDCS) of brain areas involved in fine-tuning of motor adaptation. This study explored the effects of cerebellar tDCS (ctDCS) on postural recovery from disturbance by Achilles tendon vibration. Twenty-eight healthy volunteers participated in this sham-ctDCS controlled study. Standing blindfolded on a force platform, four trials were completed: 60 s quiet standing followed by 20 min active (anodal-tDCS, 1 mA, 20 min, N = 14) or sham-ctDCS (40 s, N = 14) tDCS; three quiet standing trials with 15 s of Achilles tendon vibration and 25 s of postural recovery. Postural steadiness was quantified as displacement, standard deviation and path derived from the center of pressure (COP). Baseline demographics and quiet standing postural steadiness, and backwards displacement during vibration were comparable between groups. However, active-tDCS significantly improved postural steadiness during vibration and reduced forward displacement and variability in COP derivatives during recovery. We demonstrate that ctDCS results in short-term improvement of postural adaptation in healthy individuals. Future studies need to investigate if multisession ctDCS combined with training or rehabilitation interventions can induce prolonged improvement of postural balance. Copyright © 2017 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Can enriching emotional intelligence improve medical students’ proactivity and adaptability during OB/GYN clerkships?

Science.gov (United States)

Guseh, Stephanie H.; Chen, Xiaodong P.

2015-01-01

Objectives The purpose of this pilot study was to examine our hypothesis that enriching workplace emotional intelligence through resident coaches could improve third-year medical students’ adaptability and proactivity on the Obstetrics and Gynecology clerkship. Methods An observational pilot study was conducted in a teaching hospital. Fourteen 3rd year medical students from two cohorts of clerkships were randomly divided into two groups, and equally assigned to trained resident coaches and untrained resident coaches. Data was collected through onsite naturalistic observation of students’ adaptability and proactivity in clinical settings using a checklist with a 4-point Likert scale (1=poor to 4=excellent). Wilcoxon rank-sum test was used to compare the differences between these two groups. Results A total of 280 data points were collected through onsite observations conducted by investigators. All (n=14) students’ adaptability and proactivity performance significantly improved from an average of 3.04 to 3.45 (p=0.014) over 6-week clerkship. Overall, students with trained resident coaches adapted significantly faster and were more proactive in the obstetrics and gynecology clinical setting than the students with untrained coaches (3.31 vs. 3.24, p=0.019). Conclusions Findings from our pilot study supported our hypothesis that enriching workplace emotional intelligence knowledge through resident coaches was able to help medical students adapt into obstetrics and gynecology clinical settings faster and become more proactive in learning. Clerkship programs can incorporate the concept of a resident coach in their curriculum to help bridge medical students into clinical settings and to help them engage in self-directed learning throughout the rotation. PMID:26708233

Oracle Efficient Estimation and Forecasting with the Adaptive LASSO and the Adaptive Group LASSO in Vector Autoregressions

DEFF Research Database (Denmark)

Kock, Anders Bredahl; Callot, Laurent

We show that the adaptive Lasso (aLasso) and the adaptive group Lasso (agLasso) are oracle efficient in stationary vector autoregressions where the number of parameters per equation is smaller than the number of observations. In particular, this means that the parameters are estimated consistently...

Farmer innovation driven by needs and understanding: building the capacities of farmer groups for improved cooking stove construction and continued adaptation

Science.gov (United States)

Uckert, G.; Hafner, J.; Graef, F.; Hoffmann, H.; Kimaro, A.; Sererya, O.; Sieber, S.

2017-12-01

Enhancing food security is one of the main goals of subsistence farmers in Sub-Saharan Africa. This study investigates the implementation of improved loam-made cooking stoves and its contribution to coping and livelihood strategies. Controlled combustion, air as well as smoke flue, and heat insulation facilitate the more efficient fuel consumption of improved cooking stoves compared to traditional stoves—namely three stone fires. Although the majority of small-scale farmers in Sub-Saharan Africa rely on the free public good of firewood, the increasing time needed for collecting firewood implies high opportunity costs for productive members of the family. The primary outcomes for users of improved stoves are reduced fuel consumption, greater safety, saved time, and reduced smoke in the kitchen. The paper illustrates part of the output, outcome, and impact of a participatory action research approach for implementing improved cooking stoves. Special emphasis was put on enabling the villagers to construct their stoves without external support, hence having locally manufactured stoves made of mud, bricks, and dried grass. The impact pathway of improved cooking stoves followed the training-of-trainers concept, where members of the initially established farmer groups were trained to construct stoves on their own. Special focus was given to knowledge exchange and knowledge transfer in order to increase firewood efficiency and overall satisfaction of users of improved cook stoves. Encouraging the members to further adapt the stoves enabled them to scale-up the construction of improved cooked stoves into a business model and increase dissemination while creating income. Although many important benefits, like time and knowledge gain, were identified by the farmers after adoption of the new technology, we found adoption rates differed significantly between regions.

Pitch adaptation in different age groups : boundary tones versus global pitch

NARCIS (Netherlands)

Nilsenova, M.; Swerts, M.G.J.; Houtepen, V.; Dittrich, H.; Uther, M.; Moore, R.; Cox, S.

2009-01-01

Linguistic adaptation is a process by which interlocutors adjust their production to their environment. In the context of humancomputer interaction, past research showed that adult speakers adapt to computer speech in various manners but less is known about younger age groups. We report the results

Improving cellulase production by Aspergillus niger using adaptive evolution

NARCIS (Netherlands)

Patyshakuliyeva, Aleksandrina; Arentshorst, Mark; Allijn, Iris E; Ram, Arthur F J; de Vries, Ronald P; Gelber, Isabelle Benoit

OBJECTIVES: To evaluate the potential of adaptive evolution as a tool in generating strains with an improved production of plant biomass degrading enzymes. RESULTS: An Aspergillus niger cellulase mutant was obtained by adaptive evolution. Physiological properties of this mutant revealed a five times

WWER core pattern enhancement using adaptive improved harmony search

International Nuclear Information System (INIS)

Nazari, T.; Aghaie, M.; Zolfaghari, A.; Minuchehr, A.; Norouzi, A.

2013-01-01

Highlights: ► The classical and improved harmony search algorithms are introduced. ► The advantage of IHS is demonstrated in Shekel's Foxholes. ► The CHS and IHS are compared with other Heuristic algorithms. ► The adaptive improved harmony search is applied for two cases. ► Two cases of WWER core are optimized in BOC FA pattern. - Abstract: The efficient operation and fuel management of PWRs are of utmost importance. Core performance analysis constitutes an essential phase in core fuel management optimization. Finding an optimum core arrangement for loading of fuel assemblies, FAs, in a nuclear core is a complex problem. In this paper, application of classical harmony search (HS) and adaptive improved harmony search (IHS) in loading pattern (LP) design, for pressurized water reactors, is described. In this analysis, finding the best core pattern, which attains maximum multiplication factor, k eff , by considering maximum allowable power picking factors (PPF) is the main objective. Therefore a HS based, LP optimization code is prepared and CITATION code which is a neutronic calculation code, applied to obtain effective multiplication factor, neutron fluxes and power density in desired cores. Using adaptive improved harmony search and neutronic code, generated LP optimization code, could be applicable for PWRs core with many numbers of FAs. In this work, at first step, HS and IHS efficiencies are compared with some other heuristic algorithms in Shekel's Foxholes problem and capability of the adaptive improved harmony search is demonstrated. Results show, efficient application of IHS. At second step, two WWER cases are studied and then IHS proffered improved core patterns with regard to mentioned objective functions.

Group interventions to improve health outcomes: a framework for their design and delivery

Directory of Open Access Journals (Sweden)

Avenell Alison

2010-12-01

Full Text Available Abstract Background Delivering an intervention to a group of patients to improve health outcomes is increasingly popular in public health and primary care, yet "group" is an umbrella term which encompasses a complex range of aims, theories, implementation processes and evaluation methods. We propose a framework for the design and process evaluation of health improvement interventions occurring in a group setting, which will assist practitioners, researchers and policy makers. Methods We reviewed the wider literature on health improvement interventions delivered to patient groups and identified a gap in the literature for designing, evaluating and reporting these interventions. We drew on our experiences conducting systematic reviews, intervention, mixed method and ethnographic studies of groups for breastfeeding and weight management. A framework for health improvement group design and delivery evolved through an iterative process of primary research, reference to the literature and research team discussion. Results Although there is an extensive literature on group processes in education, work, politics and psychological therapies, far less is known about groups where the aim is health improvement. Theories of behaviour change which are validated for individual use are often assumed to be generalisable to group settings, without being rigorously tested. Health improvement or behaviour change interventions delivered in a group setting are complex adaptive social processes with interactions between the group leader, participants, and the wider community and environment. Ecological models of health improvement, which embrace the complex relationship between behaviour, systems and the environment may be more relevant than an individual approach to behaviour change. Conclusion The evidence for effectiveness and cost-effectiveness of group compared with one-to-one interventions for many areas of health improvement in public health and primary care is

WWER core pattern enhancement using adaptive improved harmony search

Energy Technology Data Exchange (ETDEWEB)

Nazari, T. [Nuclear Engineering Department, Shahid Beheshti University, G.C., P.O. Box 1983963113, Tehran (Iran, Islamic Republic of); Aghaie, M., E-mail: M_Aghaie@sbu.ac.ir [Nuclear Engineering Department, Shahid Beheshti University, G.C., P.O. Box 1983963113, Tehran (Iran, Islamic Republic of); Zolfaghari, A.; Minuchehr, A.; Norouzi, A. [Nuclear Engineering Department, Shahid Beheshti University, G.C., P.O. Box 1983963113, Tehran (Iran, Islamic Republic of)

2013-01-15

Highlights: Black-Right-Pointing-Pointer The classical and improved harmony search algorithms are introduced. Black-Right-Pointing-Pointer The advantage of IHS is demonstrated in Shekel's Foxholes. Black-Right-Pointing-Pointer The CHS and IHS are compared with other Heuristic algorithms. Black-Right-Pointing-Pointer The adaptive improved harmony search is applied for two cases. Black-Right-Pointing-Pointer Two cases of WWER core are optimized in BOC FA pattern. - Abstract: The efficient operation and fuel management of PWRs are of utmost importance. Core performance analysis constitutes an essential phase in core fuel management optimization. Finding an optimum core arrangement for loading of fuel assemblies, FAs, in a nuclear core is a complex problem. In this paper, application of classical harmony search (HS) and adaptive improved harmony search (IHS) in loading pattern (LP) design, for pressurized water reactors, is described. In this analysis, finding the best core pattern, which attains maximum multiplication factor, k{sub eff}, by considering maximum allowable power picking factors (PPF) is the main objective. Therefore a HS based, LP optimization code is prepared and CITATION code which is a neutronic calculation code, applied to obtain effective multiplication factor, neutron fluxes and power density in desired cores. Using adaptive improved harmony search and neutronic code, generated LP optimization code, could be applicable for PWRs core with many numbers of FAs. In this work, at first step, HS and IHS efficiencies are compared with some other heuristic algorithms in Shekel's Foxholes problem and capability of the adaptive improved harmony search is demonstrated. Results show, efficient application of IHS. At second step, two WWER cases are studied and then IHS proffered improved core patterns with regard to mentioned objective functions.

76 FR 4365 - Renewal of the Trinity River Adaptive Management Working Group

Science.gov (United States)

2011-01-25

... Management Working Group AGENCY: Office of the Secretary, Interior. ACTION: Notice. SUMMARY: The Secretary of... Trinity River Adaptive Management Working Group (Working Group) for 2 years. The Working Group provides... stakeholders the opportunity to give policy, management, and technical input concerning Trinity River...

78 FR 5830 - Renewal of the Trinity River Adaptive Management Working Group

Science.gov (United States)

2013-01-28

... Management Working Group AGENCY: Office of the Secretary, Interior. ACTION: Notice. SUMMARY: The Secretary of... Trinity River Adaptive Management Working Group (Working Group) for 2 years. The Working Group provides... stakeholders the opportunity to give policy, management, and technical input concerning Trinity River...

Adaptation to Climatic Hazards in the Savannah Ecosystem: Improving Adaptation Policy and Action

Science.gov (United States)

Yiran, Gerald A. B.; Stringer, Lindsay C.

2017-10-01

People in Ghana's savannah ecosystem have historically experienced a range of climatic hazards that have affected their livelihoods. In view of current climate variability and change, and projected increases in extreme events, adaptation to climate risks is vital. Policies have been put in place to enhance adaptation across sub-Saharan Africa in accordance with international agreements. At the same time, local people, through experience, have learned to adapt. This paper examines current policy actions and their implementation alongside an assessment of barriers to local adaptation. In doing so it links adaptation policy and practice. Policy documents were analysed that covered key livelihood sectors, which were identified as climate sensitive. These included agriculture, water, housing and health policies, as well as the National Climate Change Policy. In-depth interviews and focus group discussions were also held with key stakeholders in the Upper East Region of Ghana. Analyses were carried using thematic content analysis. Although policies and actions complement each other, their integration is weak. Financial, institutional, social, and technological barriers hinder successful local implementation of some policy actions, while lack of local involvement in policy formulation also hinders adaptation practice. Integration of local perspectives into policy needs to be strengthened in order to enhance adaptation. Coupled with this is a need to consider adaptation to climate change in development policies and to pursue efforts to reduce or remove the key barriers to implementation at the local level.

Ethnic groups in Tuva and their adaptation to market economy

Directory of Open Access Journals (Sweden)

Galina F. Balakina

2016-06-01

Full Text Available Studying the issue of how ethnic groups in Tuva adapt to contemporary social and economic transformations is of special importance at the moment due to the fact that Tuva is an ethnically heterogeneous region, and also because the issue of such adaptation has not been sufficiently studied so far. The ethnic and cultural profile of the population of a certain region is also important for assessing the prospects of its development. In order to study the whole scope of techniques, pace and scale of ethnic groups’ adaptation to the transforming environment, the authors of this article launched and led two public opinion polls (2010 and 2014. A representative sample of 400 residents of Tuva of working age was polled by means of a questionnaire. The analysis of the data thus obtained shows that the adaptation patterns in various ethnic groups (primarily Tuvans and Russians are different. An additional obstacle ethnic Russians face is that they have to adapt to both new socioeconomic situation and new ethnopolitical reality. While basic value orientations of ethnic Russians and Tuvans are quite similar, in the issues of equality and social mobility Russians, including the younger generation, still feel more disadvantaged than Tuvans. Low confidence in the future cripples their self-esteem, especially concerning career prospects and social mobility. Ethnic Tuvans feel more confident in their future due to their trust in kinship and territorial networks. Nevertheless, the overall adaptation level remains rather low, with a marked prevalence of paternalist expectations and passive outlook. In general, it is quite clear that the level of adaptation to the realities of the new economy does not match the requirements of the region’s social and economic development. The degree of frustration and deprivation among the population of Tuva is still high. Opinion polls show a rise of pro-migration mood: while Russians aim to move out of the region, ethnic

Group play therapy for improving mental coping ability in children with asthma

Directory of Open Access Journals (Sweden)

Qian WANG

2012-08-01

Full Text Available Objective To explore the role of group play therapy in the improvement of mental coping ability in children with asthma. Methods Forty-four asthmatic children with behavior problems were randomly divided into experimental group (n=25 and control group (n=19. All children received two tests. The tools in this research were Achenbach Child Behavior Checklist (CBCL and Coping with a Disease Questionnaire (CODI. Before intervention, both groups received pretest. Members from the experimental group were provided with counseling for 3 months, once every two weeks for a total of 6 times, while during this period the members of the control group had not any experimental intervention．After intervention, the two groups received posttest. Five patients dropped out, and 39 went through this research (20 in experimental group and 19 in control group. The effects of group play therapy on behavior problems and coping strategy of children with asthma were evaluated. Results There was no statistically significant differences in the general information (age, sex, education, parents' marriage status and family structure and basic score of CBCL and CODI between the two groups (P > 0.05. After intervention, the scores of social problems, social withdrawal, depression, compulsive behavior, aggressive behavior and immature and total behavior problem score dropped significantly in experimental group (P < 0.05 while there were no significant changes in control group. And the scores of acceptance, avoidance and emotional reaction increased significantly in experimental group (P < 0.05 while there were no significant changes in control group. Conclusions Group play therapy can improve the children's confidence and interpersonal adaptability and emotion management capacity, thus correcting deviant behavior, ameliorate coping strategy, improving mental coping capability, and promote the development of mental health in children with asthma.

Can enriching emotional intelligence improve medical students? proactivity and adaptability during OB/GYN clerkships?

OpenAIRE

Guseh, Stephanie H.; Chen, Xiaodong P.; Johnson, Natasha R.

2015-01-01

Objectives: The purpose of this pilot study was to examine our hypothesis that enriching workplace emotional intelligence through resident coaches could improve third-year medical students’ adaptability and proactivity on the Obstetrics and Gynecology clerkship. Methods: An observational pilot study was conducted in a teaching hospital. Fourteen 3rd year medical students from two cohorts of clerkships were randomly divided into two groups, and equally assigned to trained resident coaches and ...

An Adaptive Middleware for Improved Computational Performance

DEFF Research Database (Denmark)

Bonnichsen, Lars Frydendal

, we are improving computational performance by exploiting modern hardware features, such as dynamic voltage-frequency scaling and transactional memory. Adapting software is an iterative process, requiring that we continually revisit it to meet new requirements or realities; a time consuming process......The performance improvements in computer systems over the past 60 years have been fueled by an exponential increase in energy efficiency. In recent years, the phenomenon known as the end of Dennard’s scaling has slowed energy efficiency improvements — but improving computer energy efficiency...... is more important now than ever. Traditionally, most improvements in computer energy efficiency have come from improvements in lithography — the ability to produce smaller transistors — and computer architecture - the ability to apply those transistors efficiently. Since the end of scaling, we have seen...

HMM Adaptation for Improving a Human Activity Recognition System

Directory of Open Access Journals (Sweden)

Rubén San-Segundo

2016-09-01

Full Text Available When developing a fully automatic system for evaluating motor activities performed by a person, it is necessary to segment and recognize the different activities in order to focus the analysis. This process must be carried out by a Human Activity Recognition (HAR system. This paper proposes a user adaptation technique for improving a HAR system based on Hidden Markov Models (HMMs. This system segments and recognizes six different physical activities (walking, walking upstairs, walking downstairs, sitting, standing and lying down using inertial signals from a smartphone. The system is composed of a feature extractor for obtaining the most relevant characteristics from the inertial signals, a module for training the six HMMs (one per activity, and the last module for segmenting new activity sequences using these models. The user adaptation technique consists of a Maximum A Posteriori (MAP approach that adapts the activity HMMs to the user, using some activity examples from this specific user. The main results on a public dataset have reported a significant relative error rate reduction of more than 30%. In conclusion, adapting a HAR system to the user who is performing the physical activities provides significant improvement in the system’s performance.

Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method

OpenAIRE

Zhang, Lijuan; Li, Dongming; Su, Wei; Yang, Jinhua; Jiang, Yutong

2014-01-01

To improve the effect of adaptive optics images’ restoration, we put forward a deconvolution algorithm improved by the EM algorithm which joints multiframe adaptive optics images based on expectation-maximization theory. Firstly, we need to make a mathematical model for the degenerate multiframe adaptive optics images. The function model is deduced for the points that spread with time based on phase error. The AO images are denoised using the image power spectral density and support constrain...

Adaptive Landing Gear: Optimum Control Strategy and Potential for Improvement

Directory of Open Access Journals (Sweden)

Grzegorz Mikułowski

2009-01-01

Full Text Available An adaptive landing gear is a landing gear (LG capable of active adaptation to particular landing conditions by means of controlled hydraulic force. The objective of the adaptive control is to mitigate the peak force transferred to the aircraft structure during touch-down, and thus to limit the structural fatigue factor. This paper investigates the ultimate limits for improvement due to various strategies of active control. Five strategies are proposed and investigated numerically using a~validated model of a real, passive landing gear as a reference. Potential for improvement is estimated statistically in terms of the mean and median (significant peak strut forces as well as in terms of the extended safe sinking velocity range. Three control strategies are verified experimentally using a laboratory test stand.

QRS Detection Based on Improved Adaptive Threshold

Directory of Open Access Journals (Sweden)

Xuanyu Lu

2018-01-01

Full Text Available Cardiovascular disease is the first cause of death around the world. In accomplishing quick and accurate diagnosis, automatic electrocardiogram (ECG analysis algorithm plays an important role, whose first step is QRS detection. The threshold algorithm of QRS complex detection is known for its high-speed computation and minimized memory storage. In this mobile era, threshold algorithm can be easily transported into portable, wearable, and wireless ECG systems. However, the detection rate of the threshold algorithm still calls for improvement. An improved adaptive threshold algorithm for QRS detection is reported in this paper. The main steps of this algorithm are preprocessing, peak finding, and adaptive threshold QRS detecting. The detection rate is 99.41%, the sensitivity (Se is 99.72%, and the specificity (Sp is 99.69% on the MIT-BIH Arrhythmia database. A comparison is also made with two other algorithms, to prove our superiority. The suspicious abnormal area is shown at the end of the algorithm and RR-Lorenz plot drawn for doctors and cardiologists to use as aid for diagnosis.

Autonomous emergency braking systems adapted to snowy road conditions improve drivers' perceived safety and trust.

Science.gov (United States)

Koglbauer, Ioana; Holzinger, Jürgen; Eichberger, Arno; Lex, Cornelia

2018-04-03

This study investigated drivers' evaluation of a conventional autonomous emergency braking (AEB) system on high and reduced tire-road friction and compared these results to those of an AEB system adaptive to the reduced tire-road friction by earlier braking. Current automated systems such as the AEB do not adapt the vehicle control strategy to the road friction; for example, on snowy roads. Because winter precipitation is associated with a 19% increase in traffic crashes and a 13% increase in injuries compared to dry conditions, the potential of conventional AEB to prevent collisions could be significantly improved by including friction in the control algorithm. Whereas adaption is not legally required for a conventional AEB system, higher automated functions will have to adapt to the current tire-road friction because human drivers will not be required to monitor the driving environment at all times. For automated driving functions to be used, high levels of perceived safety and trust of occupants have to be reached with new systems. The application case of an AEB is used to investigate drivers' evaluation depending on the road condition in order to gain knowledge for the design of future driving functions. In a driving simulator, the conventional, nonadaptive AEB was evaluated on dry roads with high friction (μ = 1) and on snowy roads with reduced friction (μ = 0.3). In addition, an AEB system adapted to road friction was designed for this study and compared with the conventional AEB on snowy roads with reduced friction. Ninety-six drivers (48 males, 48 females) assigned to 5 age groups (20-29, 30-39, 40-49, 50-59, and 60-75 years) drove with AEB in the simulator. The drivers observed and evaluated the AEB's braking actions in response to an imminent rear-end collision at an intersection. The results show that drivers' safety and trust in the conventional AEB were significantly lower on snowy roads, and the nonadaptive autonomous braking strategy was

Adapting health promotion interventions to meet the needs of ethnic minority groups: mixed-methods evidence synthesis.

Science.gov (United States)

Liu, Jj; Davidson, E; Bhopal, Rs; White, M; Johnson, Mrd; Netto, G; Deverill, M; Sheikh, A

2012-01-01

There is now a considerable body of evidence revealing that a number of ethnic minority groups in the UK and other economically developed countries experience disproportionate levels of morbidity and mortality compared with the majority white European-origin population. Across these countries, health-promoting approaches are increasingly viewed as the long-term strategies most likely to prove clinically effective and cost-effective for preventing disease and improving health outcomes in those with established disease. To identify, appraise and interpret research on the approaches employed to maximise the cross-cultural appropriateness and effectiveness of health promotion interventions for smoking cessation, increasing physical activity and improving healthy eating for African-, Chinese- and South Asian-origin populations. Two national conferences; seven databases of UK guidelines and international systematic reviews of health promotion interventions aimed at the general population, including the Clinical Evidence, National Institute for Health and Clinical Excellence and Scottish Intercollegiate Guidelines Network databases (1950-2009); 11 databases of research on adapted health promotion interventions for ethnic minority populations, including BIOSIS, EMBASE and MEDLINE (1950-2009); and in-depth qualitative interviews with a purposive sample of researchers and health promoters. Theoretically based, mixed-methods, phased programme of research that involved user engagement, systematic reviews and qualitative interviews, which were integrated through a realist synthesis. Following a launch conference, two reviewers independently identified and extracted data from guidelines and systematic reviews on the effectiveness of interventions for the general population and any guidance offered in relation to how to interpret this evidence for ethnic minority populations. Data were thematically analysed. Reviewers then independently identified and critically appraised studies

Possible routes to improve adaptive management of firms

NARCIS (Netherlands)

Stuiver, M.; Westerink, J.

2016-01-01

This study explores possible routes to improve the adaptive management of firms and proposes to view firms as social-ecological systems. We conceptualise three possible ways in which firms can frame their relation with the natural environment. The first is impact related: strategies for assessing

A model-based adaptive state of charge estimator for a lithium-ion battery using an improved adaptive particle filter

International Nuclear Information System (INIS)

Ye, Min; Guo, Hui; Cao, Binggang

2017-01-01

Highlights: • Propose an improved adaptive particle swarm filter method. • The SoC estimation method for the battery based on the adaptive particle swarm filter is presented. • The algorithm is validated by the case study of different aged extent batteries. • The effectiveness and applicability of the algorithm are validated by the LiPB batteries. - Abstract: Obtaining accurate parameters, state of charge (SoC) and capacity of a lithium-ion battery is crucial for a battery management system, and establishing a battery model online is complex. In addition, the errors and perturbations of the battery model dramatically increase throughout the battery lifetime, making it more challenging to model the battery online. To overcome these difficulties, this paper provides three contributions: (1) To improve the robustness of the adaptive particle filter algorithm, an error analysis method is added to the traditional adaptive particle swarm algorithm. (2) An online adaptive SoC estimator based on the improved adaptive particle filter is presented; this estimator can eliminate the estimation error due to battery degradation and initial SoC errors. (3) The effectiveness of the proposed method is verified using various initial states of lithium nickel manganese cobalt oxide (NMC) cells and lithium-ion polymer (LiPB) batteries. The experimental analysis shows that the maximum errors are less than 1% for both the voltage and SoC estimations and that the convergence time of the SoC estimation decreased to 120 s.

An improved adaptive wavelet shrinkage for ultrasound despeckling

Indian Academy of Sciences (India)

Preservation Index (EPI). A comparison of the results shows that the proposed fil- ter achieves an improvement in terms of quantitative measures and in terms of visual quality of the images. Keywords. Wavelet; translation invariance; inter and intra scale dependency; speckle; adaptive thresholding; ultrasound images. ∗.

Environmental assessment, continual improvement and adaptive management within the AREVA sustainable development framework

International Nuclear Information System (INIS)

Rosaasen, A.; Frostad, S.

2006-01-01

COGEMA Resources Inc. (which is part of the AREVA Group) is a Canadian company with its head office in Saskatoon, Saskatchewan. It owns and operates mining and milling facilities in northern Saskatchewan, which produce uranium concentrate. The McClean Lake Operation commenced production in 1999 and its environmental management system represents an integrated approach to environmental assessment, continual improvement and adaptive management based on operational results. In Canada, sustainable development is promoted through the application of the Canadian Environmental Assessment Act (CEAA). Environmental Assessment (EA) is a planning tool, which incorporates environmental considerations before irrevocable decisions are taken. The basic tenet of the Act is the determination of whether the potential environmental effects of a project are adverse, significant and likely, taking into consideration mitigation measures. Thus, project planning and design entails an iterative process that incorporates mitigation measures to minimize potentially significant adverse effects. As part of the EA process conservative approaches are taken to predict potential effects. Several important elements are generated through the EA process including: a set of environmental effects predictions, a compliance and environmental effects monitoring program, a follow-up program to address uncertainties in the prediction of environmental effects, and the identification of contingency measures that could be implemented should non-conservative assumptions be identified in the original assessment framework. The challenge is to integrate each of these elements into the environmental management framework of the operating facility and develop an iterative mechanism to evaluate operational performance relative to what was originally predicted. In Saskatchewan, a requirement of operational licenses is the periodic evaluation of the 'Status of the Environment' surrounding operational facilities. These

Cultural adaptation of an evidence-based nursing intervention to improve medication adherence among people living with HIV/AIDS (PLWHA) in China.

Science.gov (United States)

Williams, Ann B; Wang, Honghong; Burgess, Jane; Li, Xianhong; Danvers, Karina

2013-04-01

Adapting nursing interventions to suit the needs and culture of a new population (cultural adaptation) is an important early step in the process of implementation and dissemination. While the need for cultural adaptation is widely accepted, research-based strategies for doing so are not well articulated. Non-adherence to medications for chronic disease is a global problem and cultural adaptation of existing evidence-based interventions could be useful. This paper aims to describe the cultural adaptation of an evidence-based nursing intervention to improve medication adherence among people living with HIV/AIDS and to offer recommendations for adaptation of interventions across cultures and borders. SITE: The intervention, which demonstrated efficacy in a randomized controlled trial in North America, was adapted for the cultural and social context of Hunan Province, in south central China. The adaptation process was undertaken by intervention stakeholders including the original intervention study team, the proposed adaptation team, and members of a Community Advisory Board, including people living with HIV/AIDS, family members, and health care workers at the target clinical sites. The adaptation process was driven by quantitative and qualitative data describing the new population and context and was guided by principles for cultural adaptation drawn from prevention science research. The primary adaptation to the intervention was the inclusion of family members in intervention activities, in response to the cultural and social importance of the family in rural China. In a pilot test of the adapted intervention, self-reported medication adherence improved significantly in the group receiving the intervention compared to the control group (p=0.01). Recommendations for cultural adaptation of nursing interventions include (1) involve stakeholders from the beginning; (2) assess the population, need, and context; (3) evaluate the intervention to be adapted with attention to

Improving Water Governance and Climate Change Adaptation in ...

International Development Research Centre (IDRC) Digital Library (Canada)

Improving Water Governance and Climate Change Adaptation in Cambodia. Cambodia's Tonle Sap Lake is the largest freshwater lake in Southeast Asia. It is estimated that up to half of Cambodia's population benefits directly or indirectly from the lake's resources. Over the next few decades, climate change and new ...

Improving preschooler conduct adaptation by using a social learning program based on motion games

Directory of Open Access Journals (Sweden)

Zsuzsa Szilárda

2017-03-01

Full Text Available Being aware of the changes which occur under the influence of environmental conditions, education, culture and social roles upon the child is indispensable with a view to build up a conduct adapted to the social environment. For any preschooler child, entering kindergarten is an important social event and getting adapted to the new situation is not easy. Broadening the relational framework with objects, other individuals, with one’s own self, results in disciplining preschooler conducts and increasing the number of socially desirable conducts. Relying upon the above statements, this study is aimed at working out a social learning programme made up of motion games involving socialization/cooperation elements intended for inducing amelioration in terms of the child’s conduct during the process of adaptation to the kindergarten environment. The experiment was conducted using a sample of “little group” preschoolers (children 3-4 years of age. As research methods, the following have been used: studying the reference literature, the method of pedagogical observation, the method of experiment and the method of playing. Further to the practical application of the programme worked out with a view to enhance the adaptation conduct in the said subjects, the experimental group proved to have undergone a significant positive evolution and each subject showed improvements considering the conduct of adaptation to kindergarten conditions, as highlighted by the change i.e. higher values in terms of the individual scores achieved at the final test. Preschool education is meant to provide all possible ways and means to enable any child’s integration into groups of children of a peer age, to develop sociability in children and to create favorable conditions for building out inter-children networks.

On the labeling and symmetry adaptation of the solvable finite groups representations

International Nuclear Information System (INIS)

Caride, A.O.; Zanette, S.I.; Nogueira, S.R.A.

1987-01-01

We propose a method to simultaneously perform a symmetry adaptation and a labeling of the bases of the irreducible representations of the solvable finite groups. It is performed by difining a self-adjoint operator with ligenvalues which evidence the descent in symmetry of the group-subgroups sequences. We also prove two theorems on the canonicity of the cpomposition series of the solvable groups. (author) [pt

Adaptive grouping for the higher-order multilevel fast multipole method

DEFF Research Database (Denmark)

Borries, Oscar Peter; Jørgensen, Erik; Meincke, Peter

2014-01-01

An alternative parameter-free adaptive approach for the grouping of the basis function patterns in the multilevel fast multipole method is presented, yielding significant memory savings compared to the traditional Octree grouping for most discretizations, particularly when using higher-order basis...... functions. Results from both a uniformly and nonuniformly meshed scatterer are presented, showing how the technique is worthwhile even for regular meshes, and demonstrating that there is no loss of accuracy in spite of the large reduction in memory requirements and the relatively low computational cost....

Health adaptation policy for climate vulnerable groups: a 'critical computational linguistics' analysis.

Science.gov (United States)

Seidel, Bastian M; Bell, Erica

2014-11-28

Many countries are developing or reviewing national adaptation policy for climate change but the extent to which these meet the health needs of vulnerable groups has not been assessed. This study examines the adequacy of such policies for nine known climate-vulnerable groups: people with mental health conditions, Aboriginal people, culturally and linguistically diverse groups, aged people, people with disabilities, rural communities, children, women, and socioeconomically disadvantaged people. The study analyses an exhaustive sample of national adaptation policy documents from Annex 1 ('developed') countries of the United Nations Framework Convention on Climate Change: 20 documents from 12 countries. A 'critical computational linguistics' method was used involving novel software-driven quantitative mapping and traditional critical discourse analysis. The study finds that references to vulnerable groups are relatively little present or non-existent, as well as poorly connected to language about practical strategies and socio-economic contexts, both also little present. The conclusions offer strategies for developing policy that is better informed by a 'social determinants of health' definition of climate vulnerability, consistent with best practice in the literature and global policy prescriptions.

Sliding-mode control combined with improved adaptive feedforward for wafer scanner

Science.gov (United States)

Li, Xiaojie; Wang, Yiguang

2018-03-01

In this paper, a sliding-mode control method combined with improved adaptive feedforward is proposed for wafer scanner to improve the tracking performance of the closed-loop system. Particularly, In addition to the inverse model, the nonlinear force ripple effect which may degrade the tracking accuracy of permanent magnet linear motor (PMLM) is considered in the proposed method. The dominant position periodicity of force ripple is determined by using the Fast Fourier Transform (FFT) analysis for experimental data and the improved feedforward control is achieved by the online recursive least-squares (RLS) estimation of the inverse model and the force ripple. The improved adaptive feedforward is given in a general form of nth-order model with force ripple effect. This proposed method is motivated by the motion controller design of the long-stroke PMLM and short-stroke voice coil motor for wafer scanner. The stability of the closed-loop control system and the convergence of the motion tracking are guaranteed by the proposed sliding-mode feedback and adaptive feedforward methods theoretically. Comparative experiments on a precision linear motion platform can verify the correctness and effectiveness of the proposed method. The experimental results show that comparing to traditional method the proposed one has better performance of rapidity and robustness, especially for high speed motion trajectory. And, the improvements on both tracking accuracy and settling time can be achieved.

Reward and punishment enhance motor adaptation in stroke.

Science.gov (United States)

Quattrocchi, Graziella; Greenwood, Richard; Rothwell, John C; Galea, Joseph M; Bestmann, Sven

2017-09-01

The effects of motor learning, such as motor adaptation, in stroke rehabilitation are often transient, thus mandating approaches that enhance the amount of learning and retention. Previously, we showed in young individuals that reward and punishment feedback have dissociable effects on motor adaptation, with punishment improving adaptation and reward enhancing retention. If these findings were able to generalise to patients with stroke, they would provide a way to optimise motor learning in these patients. Therefore, we tested this in 45 patients with chronic stroke allocated in three groups. Patients performed reaching movements with their paretic arm with a robotic manipulandum. After training (day 1), day 2 involved adaptation to a novel force field. During the adaptation phase, patients received performance-based feedback according to the group they were allocated: reward, punishment or no feedback (neutral). On day 3, patients readapted to the force field but all groups now received neutral feedback. All patients adapted, with reward and punishment groups displaying greater adaptation and readaptation than the neutral group, irrespective of demographic, cognitive or functional differences. Remarkably, the reward and punishment groups adapted to similar degree as healthy controls. Finally, the reward group showed greater retention. This study provides, for the first time, evidence that reward and punishment can enhance motor adaptation in patients with stroke. Further research on reinforcement-based motor learning regimes is warranted to translate these promising results into clinical practice and improve motor rehabilitation outcomes in patients with stroke. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Research on Adaptive Optics Image Restoration Algorithm by Improved Expectation Maximization Method

Directory of Open Access Journals (Sweden)

Lijuan Zhang

2014-01-01

Full Text Available To improve the effect of adaptive optics images’ restoration, we put forward a deconvolution algorithm improved by the EM algorithm which joints multiframe adaptive optics images based on expectation-maximization theory. Firstly, we need to make a mathematical model for the degenerate multiframe adaptive optics images. The function model is deduced for the points that spread with time based on phase error. The AO images are denoised using the image power spectral density and support constraint. Secondly, the EM algorithm is improved by combining the AO imaging system parameters and regularization technique. A cost function for the joint-deconvolution multiframe AO images is given, and the optimization model for their parameter estimations is built. Lastly, the image-restoration experiments on both analog images and the real AO are performed to verify the recovery effect of our algorithm. The experimental results show that comparing with the Wiener-IBD or RL-IBD algorithm, our iterations decrease 14.3% and well improve the estimation accuracy. The model distinguishes the PSF of the AO images and recovers the observed target images clearly.

Optimizing trial design in pharmacogenetics research: comparing a fixed parallel group, group sequential, and adaptive selection design on sample size requirements.

Science.gov (United States)

Boessen, Ruud; van der Baan, Frederieke; Groenwold, Rolf; Egberts, Antoine; Klungel, Olaf; Grobbee, Diederick; Knol, Mirjam; Roes, Kit

2013-01-01

Two-stage clinical trial designs may be efficient in pharmacogenetics research when there is some but inconclusive evidence of effect modification by a genomic marker. Two-stage designs allow to stop early for efficacy or futility and can offer the additional opportunity to enrich the study population to a specific patient subgroup after an interim analysis. This study compared sample size requirements for fixed parallel group, group sequential, and adaptive selection designs with equal overall power and control of the family-wise type I error rate. The designs were evaluated across scenarios that defined the effect sizes in the marker positive and marker negative subgroups and the prevalence of marker positive patients in the overall study population. Effect sizes were chosen to reflect realistic planning scenarios, where at least some effect is present in the marker negative subgroup. In addition, scenarios were considered in which the assumed 'true' subgroup effects (i.e., the postulated effects) differed from those hypothesized at the planning stage. As expected, both two-stage designs generally required fewer patients than a fixed parallel group design, and the advantage increased as the difference between subgroups increased. The adaptive selection design added little further reduction in sample size, as compared with the group sequential design, when the postulated effect sizes were equal to those hypothesized at the planning stage. However, when the postulated effects deviated strongly in favor of enrichment, the comparative advantage of the adaptive selection design increased, which precisely reflects the adaptive nature of the design. Copyright © 2013 John Wiley & Sons, Ltd.

Delay Estimator and Improved Proportionate Multi-Delay Adaptive Filtering Algorithm

Directory of Open Access Journals (Sweden)

E. Verteletskaya

2012-04-01

Full Text Available This paper pertains to speech and acoustic signal processing, and particularly to a determination of echo path delay and operation of echo cancellers. To cancel long echoes, the number of weights in a conventional adaptive filter must be large. The length of the adaptive filter will directly affect both the degree of accuracy and the convergence speed of the adaptation process. We present a new adaptive structure which is capable to deal with multiple dispersive echo paths. An adaptive filter according to the present invention includes means for storing an impulse response in a memory, the impulse response being indicative of the characteristics of a transmission line. It also includes a delay estimator for detecting ranges of samples within the impulse response having relatively large distribution of echo energy. These ranges of samples are being indicative of echoes on the transmission line. An adaptive filter has a plurality of weighted taps, each of the weighted taps having an associated tap weight value. A tap allocation/control circuit establishes the tap weight values in response to said detecting means so that only taps within the regions of relatively large distributions of echo energy are turned on. Thus, the convergence speed and the degree of estimation in the adaptation process can be improved.

Scheduled Evening Sleep and Enhanced Lighting Improve Adaptation to Night Shift Work in Older Adults

Science.gov (United States)

Chinoy, Evan D.; Harris, Michael P.; Kim, Min Ju; Wang, Wei; Duffy, Jeanne F.

2017-01-01

Objectives We tested whether a sleep and circadian-based treatment shown to improve circadian adaptation to night shifts and attenuate negative effects on alertness, performance, and sleep in young adults would also be effective in older adults. Methods We assessed subjective alertness, sustained attention (psychomotor vigilance task, PVT), sleep duration (actigraphy), and circadian timing (salivary dim-light melatonin onset, DLMO) in eighteen older adults (57.2±3.8 y; mean±SD) in a simulated shift work protocol. Four day shifts were followed by three night shifts in the laboratory. Participants slept at home and were randomized to either the Treatment Group (scheduled evening sleep and enhanced lighting during the latter half of night shifts), or Control Group (ad lib sleep and typical lighting during night shifts). Results Compared to day shifts, alertness and sustained attention declined on the first night shift in both groups, and was worse in the latter half of the night shifts. Alertness and attention improved on nights 2 and 3 for the Treatment Group but remained lower for the Control Group. Sleep duration in the Treatment Group remained similar to baseline (6–7 h) following night shifts, but was shorter (3–5 h) following night shifts in the Control Group. Treatment Group circadian timing advanced by 169.3±16.1 min (mean±SEM) but did not shift (−9.7±9.9 min) in the Control Group. Conclusions The combined treatment of scheduled evening sleep and enhanced lighting increased sleep duration and partially aligned circadian phase with sleep and work timing, resulting in improved night shift alertness and performance. PMID:27566781

Adaptive Radiation in Socially Advanced Stem-Group Ants from the Cretaceous.

Science.gov (United States)

Barden, Phillip; Grimaldi, David A

2016-02-22

Across terrestrial ecosystems, modern ants are ubiquitous. As many as 94 out of every 100 individual arthropods in rainforests are ants, and they constitute up to 15% of animal biomass in the Amazon. Moreover, ants are pervasive agents of natural selection as over 10,000 arthropod species are specialized inquilines or myrmecomorphs living among ants or defending themselves through mimicry. Such impact is traditionally explained by sociality: ants are the first major group of ground-dwelling predatory insects to become eusocial, increasing efficiency of tasks and establishing competitive superiority over solitary species. A wealth of specimens from rich deposits of 99 million-year-old Burmese amber resolves ambiguity regarding sociality and diversity in the earliest ants. The stem-group genus Gerontoformica maintained distinct reproductive castes including morphotypes unknown in solitary aculeate (stinging) wasps, providing insight into early behavior. We present rare aggregations of workers, indicating group recruitment as well as an instance of interspecific combat; such aggression is a social feature of modern ants. Two species and an unusual new genus are described, further expanding the remarkable diversity of early ants. Stem-group ants are recovered as a paraphyletic assemblage at the base of modern lineages varying greatly in size, form, and mouthpart structure, interpreted here as an adaptive radiation. Though Cretaceous stem-group ants were eusocial and adaptively diverse, we hypothesize that their extinction resulted from the rise of competitively superior crown-group taxa that today form massive colonies, consistent with Wilson and Hölldobler's concept of "dynastic succession." Copyright © 2016 Elsevier Ltd. All rights reserved.

Cooperative Learning Groups and the Evolution of Human Adaptability : (Another Reason) Why Hermits Are Rare in Tonga and Elsewhere.

Science.gov (United States)

Bell, Adrian Viliami; Hernandez, Daniel

2017-03-01

Understanding the prevalence of adaptive culture in part requires understanding the dynamics of learning. Here we explore the adaptive value of social learning in groups and how formal social groups function as effective mediums of information exchange. We discuss the education literature on Cooperative Learning Groups (CLGs), which outlines the potential of group learning for enhancing learning outcomes. Four qualities appear essential for CLGs to enhance learning: (1) extended conversations, (2) regular interactions, (3) gathering of experts, and (4) incentives for sharing knowledge. We analyze these four qualities within the context of a small-scale agricultural society using data we collected in 2010 and 2012. Through an analysis of surveys, interviews, and observations in the Tongan islands, we describe the role CLGs likely plays in facilitating individuals' learning of adaptive information. Our analysis of group affiliation, membership, and topics of conversation suggest that the first three CLG qualities reflect conditions for adaptive learning in groups. We utilize ethnographic anecdotes to suggest the fourth quality is also conducive to adaptive group learning. Using an evolutionary model, we further explore the scope for CLGs outside the Tongan socioecological context. Model analysis shows that environmental volatility and migration rates among human groups mediate the scope for CLGs. We call for wider attention to how group structure facilitates learning in informal settings, which may be key to assessing the contribution of groups to the evolution of complex, adaptive culture.

Demography-based adaptive network model reproduces the spatial organization of human linguistic groups

Science.gov (United States)

Capitán, José A.; Manrubia, Susanna

2015-12-01

The distribution of human linguistic groups presents a number of interesting and nontrivial patterns. The distributions of the number of speakers per language and the area each group covers follow log-normal distributions, while population and area fulfill an allometric relationship. The topology of networks of spatial contacts between different linguistic groups has been recently characterized, showing atypical properties of the degree distribution and clustering, among others. Human demography, spatial conflicts, and the construction of networks of contacts between linguistic groups are mutually dependent processes. Here we introduce an adaptive network model that takes all of them into account and successfully reproduces, using only four model parameters, not only those features of linguistic groups already described in the literature, but also correlations between demographic and topological properties uncovered in this work. Besides their relevance when modeling and understanding processes related to human biogeography, our adaptive network model admits a number of generalizations that broaden its scope and make it suitable to represent interactions between agents based on population dynamics and competition for space.

Group training in interpersonal problem-solving skills for workplace adaptation of adolescents and adults with Asperger syndrome: a preliminary study.

Science.gov (United States)

Bonete, Saray; Calero, María Dolores; Fernández-Parra, Antonio

2015-05-01

Adults with Asperger syndrome show persistent difficulties in social situations which psychosocial treatments may address. Despite the multiple studies focusing on social skills interventions, only some have focused specifically on problem-solving skills and have not targeted workplace adaptation training in the adult population. This study describes preliminary data from a group format manual-based intervention, the Interpersonal Problem-Solving for Workplace Adaptation Programme, aimed at improving the cognitive and metacognitive process of social problem-solving skills focusing on typical social situations in the workplace based on mediation as the main strategy. A total of 50 adults with Asperger syndrome received the programme and were compared with a control group of typical development. The feasibility and effectiveness of the treatment were explored. Participants were assessed at pre-treatment and post-treatment on a task of social problem-solving skills and two secondary measures of socialisation and work profile using self- and caregiver-report. Using a variety of methods, the results showed that scores were significantly higher at post-treatment in the social problem-solving task and socialisation skills based on reports by parents. Differences in comparison to the control group had decreased after treatment. The treatment was acceptable to families and subject adherence was high. The Interpersonal Problem-Solving for Workplace Adaptation Programme appears to be a feasible training programme. © The Author(s) 2014.

78 FR 17226 - Trinity Adaptive Management Working Group; Public Meeting, Teleconference and Web-Based Meeting

Science.gov (United States)

2013-03-20

... stakeholders the opportunity to give policy, management, and technical input concerning Trinity River...-FF08EACT00] Trinity Adaptive Management Working Group; Public Meeting, Teleconference and Web-Based Meeting... Service, announce a public meeting, teleconference and web-based meeting of the Trinity Adaptive...

78 FR 49281 - Trinity Adaptive Management Working Group; Public Meeting, Teleconference and Web-Based Meeting

Science.gov (United States)

2013-08-13

... opportunity to give policy, management, and technical input concerning Trinity River (California) restoration...-FF08EACT00] Trinity Adaptive Management Working Group; Public Meeting, Teleconference and Web-Based Meeting... Service, announce a public meeting, teleconference, and web-based meeting of the Trinity Adaptive...

Improvement of observer performance during fluoroscopy by local adaptive contrast enhancement

International Nuclear Information System (INIS)

Gould, R.G.; Demas, B.E.; Maroney, T.P.

1988-01-01

The ability of a video processor (FluoroVision FV-1), which performs two-dimensional locally adaptive contrast enhancement, to improve the detection of a low-contrast object was evaluated by means of receiver operating characteristic (ROC) curves. Three independent observers viewed a videotape of 50 fluoroscopic images of a varied background, in which a test object was present in 25. Each observer viewed the tape under four conditions: (1) no processing, (2) temporal noise reduction (gaussian weighted time averaging, (3) contrast enhancement, and (4) both noise reduction and contrast enhancement. The results were that detection was significantly improved by the locally adaptive contrast enhancement. Noise reduction did not significantly improve performance, probably because washer detection was limited by background contrast variations as well as noise and because only a small amount of noise reduction was used. The authors conclude that the processing device is potentially valuable in improving the quality of clinical fluoroscopic images

Scheduled evening sleep and enhanced lighting improve adaptation to night shift work in older adults.

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Chinoy, Evan D; Harris, Michael P; Kim, Min Ju; Wang, Wei; Duffy, Jeanne F

2016-12-01

We tested whether a sleep and circadian-based treatment shown to improve circadian adaptation to night shifts and attenuate negative effects on alertness, performance and sleep in young adults would also be effective in older adults. We assessed subjective alertness, sustained attention (psychomotor vigilance task, PVT), sleep duration (actigraphy) and circadian timing (salivary dim-light melatonin onset, DLMO) in 18 older adults (57.2±3.8 years; mean±SD) in a simulated shift work protocol. 4 day shifts were followed by 3 night shifts in the laboratory. Participants slept at home and were randomised to either the treatment group (scheduled evening sleep and enhanced lighting during the latter half of night shifts) or control group (ad-lib sleep and typical lighting during night shifts). Compared with day shifts, alertness and sustained attention declined on the first night shift in both groups, and was worse in the latter half of the night shifts. Alertness and attention improved on nights 2 and 3 for the treatment group but remained lower for the control group. Sleep duration in the treatment group remained similar to baseline (6-7 hours) following night shifts, but was shorter (3-5 hours) following night shifts in the control group. Treatment group circadian timing advanced by 169.3±16.1 min (mean±SEM) but did not shift (-9.7±9.9 min) in the control group. The combined treatment of scheduled evening sleep and enhanced lighting increased sleep duration and partially aligned circadian phase with sleep and work timing, resulting in improved night shift alertness and performance. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Adapting and Evaluating a Tree of Life Group for Women with Learning Disabilities

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Randle-Phillips, Cathy; Farquhar, Sarah; Thomas, Sally

2016-01-01

Background: This study describes how a specific narrative therapy approach called 'the tree of life' was adapted to run a group for women with learning disabilities. The group consisted of four participants and ran for five consecutive weeks. Materials and Methods: Participants each constructed a tree to represent their lives and presented their…

Some improvements on adaptive genetic algorithms for reliability-related applications

Energy Technology Data Exchange (ETDEWEB)

Ye Zhisheng, E-mail: yez@nus.edu.s [Department of Industrial and Systems Engineering, National University of Singapore, Singapore 119 260 (Singapore); Li Zhizhong [Department of Industrial Engineering, Tsinghua University, beijing 100084 (China); Xie Min [Department of Industrial and Systems Engineering, National University of Singapore, Singapore 119 260 (Singapore)

2010-02-15

Adaptive genetic algorithms (GAs) have been shown to be able to improve GA performance in reliability-related optimization studies. However, there are different ways to implement adaptive GAs, some of which are even in conflict with each other. In this study, a simple parameter-adjusting method using mean and variance of each generation is introduced. This method is used to compare two of such conflicting adaptive GA methods: GAs with increasing mutation rate and decreasing crossover rate and GAs with decreasing mutation rate and increasing crossover rate. The illustrative examples indicate that adaptive GAs with decreasing mutation rate and increasing crossover rate finally yield better results. Furthermore, a population disturbance method is proposed to avoid local optimum solutions. This idea is similar to exotic migration to a tribal society. To solve the problem of large solution space, a variable roughening method is also embedded into GA. Two case studies are presented to demonstrate the effectiveness of the proposed method.

Some improvements on adaptive genetic algorithms for reliability-related applications

International Nuclear Information System (INIS)

Ye Zhisheng; Li Zhizhong; Xie Min

2010-01-01

Adaptive genetic algorithms (GAs) have been shown to be able to improve GA performance in reliability-related optimization studies. However, there are different ways to implement adaptive GAs, some of which are even in conflict with each other. In this study, a simple parameter-adjusting method using mean and variance of each generation is introduced. This method is used to compare two of such conflicting adaptive GA methods: GAs with increasing mutation rate and decreasing crossover rate and GAs with decreasing mutation rate and increasing crossover rate. The illustrative examples indicate that adaptive GAs with decreasing mutation rate and increasing crossover rate finally yield better results. Furthermore, a population disturbance method is proposed to avoid local optimum solutions. This idea is similar to exotic migration to a tribal society. To solve the problem of large solution space, a variable roughening method is also embedded into GA. Two case studies are presented to demonstrate the effectiveness of the proposed method.

Reduction of radiation exposure and improvement of image quality with BMI-adapted prospective cardiac computed tomography and iterative reconstruction

International Nuclear Information System (INIS)

Hosch, Waldemar; Stiller, Wolfram; Mueller, Dirk; Gitsioudis, Gitsios; Welzel, Johanna; Dadrich, Monika; Buss, Sebastian J.; Giannitsis, Evangelos; Kauczor, Hans U.; Katus, Hugo A.; Korosoglou, Grigorios

2012-01-01

Purpose: To assess the impact of body mass index (BMI)-adapted protocols and iterative reconstruction algorithms (iDose) on patient radiation exposure and image quality in patients undergoing prospective ECG-triggered 256-slice coronary computed tomography angiography (CCTA). Methods: Image quality and radiation exposure were systematically analyzed in 100 patients. 60 Patients underwent prospective ECG-triggered CCTA using a non-tailored protocol and served as a ‘control’ group (Group 1: 120 kV, 200 mA s). 40 Consecutive patients with suspected coronary artery disease (CAD) underwent prospective CCTA, using BMI-adapted tube voltage and standard (Group 2: 100/120 kV, 100–200 mA s) versus reduced tube current (Group 3: 100/120 kV, 75–150 mA s). Iterative reconstructions were provided with different iDose levels and were compared to filtered back projection (FBP) reconstructions. Image quality was assessed in consensus of 2 experienced observers and using a 5-grade scale (1 = best to 5 = worse), and signal- and contrast-to-noise ratios (SNR and CNR) were quantified. Results: CCTA was performed without adverse events in all patients (n = 100, heart rate of 47–87 bpm and BMI of 19–38 kg/m 2 ). Patients examined using the non-tailored protocol in Group 1 had the highest radiation exposure (3.2 ± 0.4 mSv), followed by Group 2 (1.7 ± 0.7 mSv) and Group 3 (1.2 ± 0.6 mSv) (radiation savings of 47% and 63%, respectively, p < 0.001). Iterative reconstructions provided increased SNR and CNR, particularly when higher iDose level 5 was applied with Multi-Frequency reconstruction (iDose5 MFR) (14.1 ± 4.6 versus 21.2 ± 7.3 for SNR and 12.0 ± 4.2 versus 18.1 ± 6.6 for CNR, for FBP versus iDose5 MFR, respectively, p < 0.001). The combination of BMI adaptation with iterative reconstruction reduced radiation exposure and simultaneously improved image quality (subjective image quality of 1.4 ± 0.4 versus 1.9 ± 0.5 for Group 2 reconstructed using iDose5 MFR versus

Adaptive mixed reality rehabilitation improves quality of reaching movements more than traditional reaching therapy following stroke.

Science.gov (United States)

Duff, Margaret; Chen, Yinpeng; Cheng, Long; Liu, Sheng-Min; Blake, Paul; Wolf, Steven L; Rikakis, Thanassis

2013-05-01

Adaptive mixed reality rehabilitation (AMRR) is a novel integration of motion capture technology and high-level media computing that provides precise kinematic measurements and engaging multimodal feedback for self-assessment during a therapeutic task. We describe the first proof-of-concept study to compare outcomes of AMRR and traditional upper-extremity physical therapy. Two groups of participants with chronic stroke received either a month of AMRR therapy (n = 11) or matched dosing of traditional repetitive task therapy (n = 10). Participants were right handed, between 35 and 85 years old, and could independently reach to and at least partially grasp an object in front of them. Upper-extremity clinical scale scores and kinematic performances were measured before and after treatment. Both groups showed increased function after therapy, demonstrated by statistically significant improvements in Wolf Motor Function Test and upper-extremity Fugl-Meyer Assessment (FMA) scores, with the traditional therapy group improving significantly more on the FMA. However, only participants who received AMRR therapy showed a consistent improvement in kinematic measurements, both for the trained task of reaching to grasp a cone and the untrained task of reaching to push a lighted button. AMRR may be useful in improving both functionality and the kinematics of reaching. Further study is needed to determine if AMRR therapy induces long-term changes in movement quality that foster better functional recovery.

Computing Adaptive Feature Weights with PSO to Improve Android Malware Detection

Directory of Open Access Journals (Sweden)

Yanping Xu

2017-01-01

Full Text Available Android malware detection is a complex and crucial issue. In this paper, we propose a malware detection model using a support vector machine (SVM method based on feature weights that are computed by information gain (IG and particle swarm optimization (PSO algorithms. The IG weights are evaluated based on the relevance between features and class labels, and the PSO weights are adaptively calculated to result in the best fitness (the performance of the SVM classification model. Moreover, to overcome the defects of basic PSO, we propose a new adaptive inertia weight method called fitness-based and chaotic adaptive inertia weight-PSO (FCAIW-PSO that improves on basic PSO and is based on the fitness and a chaotic term. The goal is to assign suitable weights to the features to ensure the best Android malware detection performance. The results of experiments indicate that the IG weights and PSO weights both improve the performance of SVM and that the performance of the PSO weights is better than that of the IG weights.

Spontaneous formation of dynamical groups in an adaptive networked system

International Nuclear Information System (INIS)

Li Menghui; Guan Shuguang; Lai, C-H

2010-01-01

In this work, we investigate a model of an adaptive networked dynamical system, where the coupling strengths among phase oscillators coevolve with the phase states. It is shown that in this model the oscillators can spontaneously differentiate into two dynamical groups after a long time evolution. Within each group, the oscillators have similar phases, while oscillators in different groups have approximately opposite phases. The network gradually converts from the initial random structure with a uniform distribution of connection strengths into a modular structure that is characterized by strong intra-connections and weak inter-connections. Furthermore, the connection strengths follow a power-law distribution, which is a natural consequence of the coevolution of the network and the dynamics. Interestingly, it is found that if the inter-connections are weaker than a certain threshold, the two dynamical groups will almost decouple and evolve independently. These results are helpful in further understanding the empirical observations in many social and biological networks.

Safety culture improvement. An adaptive management framework

International Nuclear Information System (INIS)

Obadia, Isaac Jose

2005-01-01

After the Chernobyl nuclear accident in 1986, the International Atomic Energy Agency (IAEA) established the safety culture concept as a proactive mean to contribute to safety improvement, starting a worldwide safety culture enhancement program within nuclear organizations mainly focused on nuclear power plants. More recently, the safety culture concept has been extended to non-power applications such as nuclear research reactors and nuclear technological research and development organizations. In 1999, the Nuclear Engineering Institute (IEN), a research and technological development unit of the Brazilian Nuclear Energy Commission (CNEN), started a management change program aiming at improving its performance level of excellence. This change program has been developed assuming the occurrence of complex causal inter-relationships between the organizational culture and the implementation of the management process. A systematic and adaptive management framework comprised of a safety culture improvement practice integrated to a management process based on the Criteria for Excellence of the Brazilian Quality Award Model, has been developed and implemented at IEN. The case study has demonstrated that the developed framework makes possible an effective safety culture improvement and simultaneously facilitates an effective implementation of the management process, thus providing some governance to the change program. (author)

Lack of adaptation to human tetherin in HIV-1 Group O and P

Science.gov (United States)

2011-01-01

Background HIV-1 viruses are categorized into four distinct groups: M, N, O and P. Despite the same genomic organization, only the group M viruses are responsible for the world-wide pandemic of AIDS, suggesting better adaptation to human hosts. Previously, it has been reported that the group M Vpu protein is capable of both down-modulating CD4 and counteracting BST-2/tetherin restriction, while the group O Vpu cannot antagonize tetherin. This led us to investigate if group O, and the related group P viruses, possess functional anti-tetherin activities in Vpu or another viral protein, and to further map the residues required for group M Vpu to counteract human tetherin. Results We found a lack of activity against human tetherin for both the Vpu and Nef proteins from group O and P viruses. Furthermore, we found no evidence of anti-human tetherin activity in a fully infectious group O proviral clone, ruling out the possibility of an alternative anti-tetherin factor in this virus. Interestingly, an activity against primate tetherins was retained in the Nef proteins from both a group O and a group P virus. By making chimeras between a functional group M and non-functional group O Vpu protein, we were able to map the first 18 amino acids of group M Vpu as playing an essential role in the ability of the protein to antagonize human tetherin. We further demonstrated the importance of residue alanine-18 for the group M Vpu activity. This residue lies on a diagonal face of conserved alanines in the TM domain of the protein, and is necessary for specific Vpu-tetherin interactions. Conclusions The absence of human specific anti-tetherin activities in HIV-1 group O and P suggests a failure of these viruses to adapt to human hosts, which may have limited their spread. PMID:21955466

Lack of adaptation to human tetherin in HIV-1 Group O and P

Directory of Open Access Journals (Sweden)

Haworth Kevin G

2011-09-01

Full Text Available Abstract Background HIV-1 viruses are categorized into four distinct groups: M, N, O and P. Despite the same genomic organization, only the group M viruses are responsible for the world-wide pandemic of AIDS, suggesting better adaptation to human hosts. Previously, it has been reported that the group M Vpu protein is capable of both down-modulating CD4 and counteracting BST-2/tetherin restriction, while the group O Vpu cannot antagonize tetherin. This led us to investigate if group O, and the related group P viruses, possess functional anti-tetherin activities in Vpu or another viral protein, and to further map the residues required for group M Vpu to counteract human tetherin. Results We found a lack of activity against human tetherin for both the Vpu and Nef proteins from group O and P viruses. Furthermore, we found no evidence of anti-human tetherin activity in a fully infectious group O proviral clone, ruling out the possibility of an alternative anti-tetherin factor in this virus. Interestingly, an activity against primate tetherins was retained in the Nef proteins from both a group O and a group P virus. By making chimeras between a functional group M and non-functional group O Vpu protein, we were able to map the first 18 amino acids of group M Vpu as playing an essential role in the ability of the protein to antagonize human tetherin. We further demonstrated the importance of residue alanine-18 for the group M Vpu activity. This residue lies on a diagonal face of conserved alanines in the TM domain of the protein, and is necessary for specific Vpu-tetherin interactions. Conclusions The absence of human specific anti-tetherin activities in HIV-1 group O and P suggests a failure of these viruses to adapt to human hosts, which may have limited their spread.

Managing Climate Risk. Integrating Adaptation into World Bank Group Operations

International Nuclear Information System (INIS)

Van Aalst, M.

2006-08-01

climate conditions. There are several ways in which the World Bank Group can continue helping its clients better manage climate risks to poverty reduction and sustainable development: Integrating climate risk management into the project cycle, by adopting early risk identification (for instance by applying a quick and simple risk-screening tool) and following up throughout the design process if necessary. Integrating climate risk management into country and sector dialogues, especially in countries and sectors that are particularly vulnerable. Enhancing internal support for and coordination of climate risk management by, for example, expanding analytical work and capacity for cross-support by the Global Climate Change Team and the Hazard Management Unit of the World Bank and by actively developing climate risk management activities within regional departments. Supporting the establishment of proper financing mechanisms for adaptation, using, for example, the Investment Framework for Clean Energy and Development. New funding mechanisms created under the United Nations Framework Convention on Climate Change (UNFCCC) and being made operational by the Global Environment Facility (GEF), as well as the Kyoto Protocol, should be used to leverage maximum adaptation results within the Bank's broad range of development activities and investments. By enhancing climate risk management, the World Bank Group will be able to address the growing risks from climate change and, at the same time, make current development investments more resilient to climate variability and extreme weather events. In that way, climate risk management will not only guard the Bank's investments in a changing climate but will also improve the impact of development efforts right now.

Roy's Adaptation Model-Guided Education and Promoting the Adaptation of Veterans With Lower Extremities Amputation.

Science.gov (United States)

Azarmi, Somayeh; Farsi, Zahra

2015-10-01

Any defect in extremities of the body can affect different life aspects. The purpose of this study was to investigate the effect of Roy's adaptation model-guided education on promoting the adaptation of veterans with lower extremities amputation. In a randomized clinical trial, 60 veterans with lower extremities amputation referring to Kowsar Orthotics and Prosthetics Center of veterans clinic in Tehran, Iran, were recruited with convenience method and were randomly assigned to intervention and control groups during 2013 - 2014. For data collection, Roy's adaptation model questionnaire was used. After completing the questionnaires in both groups, maladaptive behaviors were determined in the intervention group and an education program based on Roy's adaptation model was implemented. After two months, both groups completed the questionnaires again. Data was analyzed with SPSS software. Independent t-test showed statistically significant differences between the two groups in the post-test stage in terms of the total score of adaptation (P = 0.001) as well as physiologic (P = 0.0001) and role function modes (P = 0.004). The total score of adaptation (139.43 ± 5.45 to 127.54 ± 14.55, P = 0.006) as well as the scores of physiologic (60.26 ± 5.45 to 53.73 ± 7.79, P = 0.001) and role function (20.30 ± 2.42 to 18.13 ± 3.18, P = 0.01) modes in the intervention group significantly increased, whereas the scores of self-concept (42.10 ± 4.71 to 39.40 ± 5.67, P = 0.21) and interdependence (16.76 ± 2.22 to 16.30 ± 2.57, P = 0.44) modes in the two stages did not have a significant difference. Findings of this research indicated that the Roy's adaptation model-guided education promoted the adaptation level of physiologic and role function modes in veterans with lower extremities amputation. However, this intervention could not promote adaptation in self-concept and interdependence modes. More intervention is advised based on Roy's adaptation model for improving the

European Climate Change Programme. Working Group II. Impacts and Adaptation. Water Management. Sectoral Report

International Nuclear Information System (INIS)

2007-03-01

Adaptation is a new policy area for the European climate change policy. The Impacts and Adaptation Workgroup has been set up as part of European Climate Change Programme (ECCP II). The main objective of the workgroup is to explore options to improve Europe's resilience to Climate Change Impacts, to encourage the integration of climate change adaptation into other policy areas at the European, national and regional level and to define the role of EU-wide policies complementing action by Member States. The aim of this initial programme of work is to identify good practice in the development of adaptation policy and foster learning from different sectoral experiences and explore a possible EU role in adaptation policies. The Commission has led a series of 10 sectoral meetings looking at adaptation issues for different sectors. One of these meetings looked at the impacts on the water cycle and water resources management and prediction of extreme events in particular. This report summarises the state of play in the Water Resources sector in relation to adaptation to climate change on the basis of the information gathered at the stakeholder meeting on 11 April, 2006

Improvement of neutronic calculations on a Masurca core using adaptive mesh refinement capabilities

International Nuclear Information System (INIS)

Fournier, D.; Archier, P.; Le Tellier, R.; Suteau, C.

2011-01-01

The simulation of 3D cores with homogenized assemblies in transport theory remains time and memory consuming for production calculations. With a multigroup discretization for the energy variable and a discrete ordinate method for the angle, a system of about 10"4 coupled hyperbolic transport equations has to be solved. For these equations, we intend to optimize the spatial discretization. In the framework of the SNATCH solver used in this study, the spatial problem is dealt with by using a structured hexahedral mesh and applying a Discontinuous Galerkin Finite Element Method (DGFEM). This paper shows the improvements due to the development of Adaptive Mesh Refinement (AMR) methods. As the SNATCH solver uses a hierarchical polynomial basis, p−refinement is possible but also h−refinement thanks to non conforming capabilities. Besides, as the flux spatial behavior is highly dependent on the energy, we propose to adapt differently the spatial discretization according to the energy group. To avoid dealing with too many meshes, some energy groups are joined and share the same mesh. The different energy-dependent AMR strategies are compared to each other but also with the classical approach of a conforming and highly refined spatial mesh. This comparison is carried out on different quantities such as the multiplication factor, the flux or the current. The gain in time and memory is shown for 2D and 3D benchmarks coming from the ZONA2B experimental core configuration of the MASURCA mock-up at CEA Cadarache. (author)

Improving Sensorimotor Function and Adaptation using Stochastic Vestibular Stimulation

Science.gov (United States)

Galvan, R. C.; Bloomberg, J. J.; Mulavara, A. P.; Clark, T. K.; Merfeld, D. M.; Oman, C. M.

2014-01-01

Astronauts experience sensorimotor changes during adaption to G-transitions that occur when entering and exiting microgravity. Post space flight, these sensorimotor disturbances can include postural and gait instability, visual performance changes, manual control disruptions, spatial disorientation, and motion sickness, all of which can hinder the operational capabilities of the astronauts. Crewmember safety would be significantly increased if sensorimotor changes brought on by gravitational changes could be mitigated and adaptation could be facilitated. The goal of this research is to investigate and develop the use of electrical stochastic vestibular stimulation (SVS) as a countermeasure to augment sensorimotor function and facilitate adaptation. For this project, SVS will be applied via electrodes on the mastoid processes at imperceptible amplitude levels. We hypothesize that SVS will improve sensorimotor performance through the phenomena of stochastic resonance, which occurs when the response of a nonlinear system to a weak input signal is optimized by the application of a particular nonzero level of noise. In line with the theory of stochastic resonance, a specific optimal level of SVS will be found and tested for each subject [1]. Three experiments are planned to investigate the use of SVS in sensory-dependent tasks and performance. The first experiment will aim to demonstrate stochastic resonance in the vestibular system through perception based motion recognition thresholds obtained using a 6-degree of freedom Stewart platform in the Jenks Vestibular Laboratory at Massachusetts Eye and Ear Infirmary. A range of SVS amplitudes will be applied to each subject and the subjectspecific optimal SVS level will be identified as that which results in the lowest motion recognition threshold, through previously established, well developed methods [2,3,4]. The second experiment will investigate the use of optimal SVS in facilitating sensorimotor adaptation to system

Adaptive servo ventilation improves Cheyne-Stokes respiration, cardiac function, and prognosis in chronic heart failure patients with cardiac resynchronization therapy.

Science.gov (United States)

Miyata, Makiko; Yoshihisa, Akiomi; Suzuki, Satoshi; Yamada, Shinya; Kamioka, Masashi; Kamiyama, Yoshiyuki; Yamaki, Takayoshi; Sugimoto, Koichi; Kunii, Hiroyuki; Nakazato, Kazuhiko; Suzuki, Hitoshi; Saitoh, Shu-ichi; Takeishi, Yasuchika

2012-09-01

Cheyne-Stokes respiration (CSR-CSA) is often observed in patients with chronic heart failure (CHF). Although cardiac resynchronization therapy (CRT) is effective for CHF patients with left ventricular dyssynchrony, it is still unclear whether adaptive servo ventilation (ASV) improves cardiac function and prognosis of CHF patients with CSR-CSA after CRT. Twenty two patients with CHF and CSR-CSA after CRT defibrillator (CRTD) implantation were enrolled in the present study and randomly assigned into two groups: 11 patients treated with ASV (ASV group) and 11 patients treated without ASV (non-ASV group). Measurement of plasma B-type natriuretic peptide (BNP) levels (before 3, and 6 months later) and echocardiography (before and 6 months) were performed in each group. Patients were followed up to register cardiac events (cardiac death and re-hospitalization) after discharge. In the ASV group, indices for apnea-hypopnea, central apnea, and oxyhemoglobin saturation were improved on ASV. BNP levels, cardiac systolic and diastolic function were improved with ASV treatment for 6 months. Importantly, the event-free rate was significantly higher in the ASV group than in the non-ASV group. ASV improves CSR-CSA, cardiac function, and prognosis in CHF patients with CRTD. Patients with CSR-CSA and post CRTD implantation would get benefits by treatment with ASV. Copyright © 2012 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

Improving Sensorimotor Adaptation Following Long Duration Space Flight by Enhancing Vestibular Information Transfer

Science.gov (United States)

Mulavara, A. P.; Kofman, I. S.; De Dios, Y. E; Galvan, R.; Goel, R.; Miller, C.; Peters, B.; Cohen, H. S.; Jeevarajan, J.; Reschke, M.;

Adding methylphenidate to prism-adaptation improves outcome in neglect patients. A randomized clinical trial.

Science.gov (United States)

Luauté, Jacques; Villeneuve, Laurent; Roux, Adeline; Nash, Stuart; Bar, Jean-Yves; Chabanat, Eric; Cotton, François; Ciancia, Sophie; Sancho, Pierre-Olivier; Hovantruc, Patrick; Quelard, François; Sarraf, Thierry; Cojan, Yann; Hadj-Bouziane, Fadila; Farné, Alessandro; Janoly-Dumenil, Audrey; Boisson, Dominique; Jacquin-Courtois, Sophie; Rode, Gilles; Rossetti, Yves

2018-04-04

Spatial neglect is one of the main predictors of poor functional recovery after stroke. Many therapeutic interventions have been developed to alleviate this condition, but to date the evidence of their effectiveness is still scarce. The purpose of this study was to test whether combining prism adaptation (PA) and methylphenidate (MP) could enhance the recovery of neglect patients at a functional level. RITAPRISM is a multicentre, randomized, double-blind, placebo-controlled study comparing PA plus placebo (control) versus PA plus MP. 24 patients were prospectively enrolled (10 in the placebo group and 14 in the MP group). The main result is a long-term functional improvement (on the functional independence measure (FIM) and on Bergego's scale) induced by MP combined with PA. No serious adverse event occurred. The long-term benefit on activities of daily living (ADL) obtained in this randomized controlled trial set this intervention apart from previous attempts and supports with a high level of evidence the value of combining PA and MP in order to improve the autonomy of neglect patients. Further studies will be needed to clarify the mechanism of this improvement. Although not specifically assessed at this stage, a part of the improvement in ADL might be related to the collateral effect of MP on mood, executive functions or fatigue, and/or the combined effect of PA and MP on motor intentional bias of neglect patients. This study provides Class I evidence that adding MP to PA improves the functional outcome of neglect patients. EUCTR2008-000325-20-FR. Copyright © 2018 Elsevier Ltd. All rights reserved.

Gender and homosexuality attitudes across religious groups from the 1970s to 2014: Similarity, distinction, and adaptation.

Science.gov (United States)

Schnabel, Landon

2016-01-01

This study uses General Social Survey data to compare gender and homosexuality across American religious groups from the 1970s to 2014, examining three possible patterns for how evangelical attitudes relate to those of other groups: (1) they are similar; (2) they are different, but move together over time; (3) they are different and converge or diverge over time. Evangelical gender attitudes regarding work and family issues are more conservative than those of all other groups, but are adaptive to broad trends, changing at a rate similar to those of other groups. Evangelical attitudes toward the morality of homosexuality and same-sex marriage are more conservative than those of all other religious groups, and their rate of change is slower over time. Separate trends on the two issues suggest that gender and sexuality attitude change is decoupled, especially among evangelicals who are adapting more on gender while increasingly distinguishing themselves on same-sex relationships. A three-stage process of religious tension appears to characterize evangelical identity-building: (1) similarity, (2) distinction, and (3) adaptation. Copyright © 2015 Elsevier Inc. All rights reserved.

77 FR 60138 - Trinity Adaptive Management Working Group; Public Teleconference/Web-Based Meeting

Science.gov (United States)

2012-10-02

... meeting. Background The TAMWG affords stakeholders the opportunity to give policy, management, and...-FF08EACT00] Trinity Adaptive Management Working Group; Public Teleconference/ Web-Based Meeting AGENCY: Fish..., announce a public teleconference/web-based meeting of [[Page 60139

Wii Fit® training vs. Adapted Physical Activities: which one is the most appropriate to improve the balance of independent senior subjects? A randomized controlled study.

Science.gov (United States)

Toulotte, Claire; Toursel, Cindy; Olivier, Nicolas

2012-09-01

To compare the effectiveness of three protocols (Adapted Physical Activities, Wii Fit(®), Adapted Physical Activities + Wii Fit(®)) on the balance of independent senior subjects. Case comparison study. Healthy elderly subjects living in independent community dwellings. Thirty-six subjects, average age 75.09 ± 10.26 years, took part in this study, and were randomly assigned to one of the four experimental groups: G1 followed an Adapted Physical Activities training programme, while the second group (G2) participated in Wii Fit(®) training and the third one (G3) combined both methods. There was no training for the fourth group (G4). All subjects trained once a week (1 hour) for 20 weeks and were assessed before and after treatment. The Tinetti test, unipedal tests and the Wii Fit(®) tests. After training, the scores in the Tinetti test decreased significantly (P Wii Fit(®)) and G3 (Adapted Physical Activities and Wii Fit(®)) improved their balance. In addition, G1 and G3 increased their dynamic balance. The findings suggest that Adapted Physical Activities training limits the decline in sensorial functions in the elderly.

Groups of bats improve sonar efficiency through mutual suppression of pulse emissions.

Directory of Open Access Journals (Sweden)

Jenna eJarvis

2013-06-01

Full Text Available How bats adapt their sonar behavior to accommodate the noisiness of a crowded day roost is a mystery. Some bats change their pulse acoustics to enhance the distinction between theirs and another bat’s echoes, but additional mechanisms are needed to explain the bat sonar system’s exceptional resilience to jamming by conspecifics. Variable pulse repetition rate strategies offer one potential solution to this dynamic problem, but precisely how changes in pulse rate could improve sonar performance in social settings is unclear. Here we show that bats decrease their emission rates as population density increases, following a pattern that reflects a cumulative mutual suppression of each other’s pulse emissions. Playback of artificially-generated echolocation pulses similarly slowed emission rates, demonstrating that suppression was mediated by hearing the pulses of other bats. Slower emission rates did not support an antiphonal emission strategy but did reduce the relative proportion of emitted pulses that overlapped with another bat’s emissions, reducing the relative rate of mutual interference. The prevalence of acoustic interferences occurring amongst bats was empirically determined to be a linear function of population density and mean emission rates. Consequently as group size increased, small reductions in emission rates spread across the group partially mitigated the increase in interference rate. Drawing on lessons learned from communications networking theory we show how modest decreases in pulse emission rates can significantly increase the net information throughput of the shared acoustic space, thereby improving sonar efficiency for all individuals in a group. We propose that an automated acoustic suppression of pulse emissions triggered by bats hearing each other's emissions dynamically optimizes sonar efficiency for the entire group.

Sensorimotor Adaptability Training Improves Motor and Dual-Task Performance

Science.gov (United States)

Bloomberg, J.J.; Peters, B.T.; Mulavara, A.P.; Brady, R.; Batson, C.; Cohen, H.S.

2009-01-01

The overall objective of our project is to develop a sensorimotor adaptability (SA) training program designed to facilitate recovery of functional capabilities when astronauts transition to different gravitational environments. The goal of our current study was to determine if SA training using variation in visual flow and support surface motion produces improved performance in a novel sensory environment and demonstrate the retention characteristics of SA training.

Adaptation to climate change in industry: improving resource efficiency through sustainable production applications.

Science.gov (United States)

Alkayal, Emrah; Bogurcu, Merve; Ulutas, Ferda; Demirer, Göksel Niyazi

2015-01-01

The objective of this study was to investigate the climate change adaptation opportunities of six companies from different sectors through resource efficiency and sustainable production. A total of 77 sustainable production options were developed for the companies based on the audits conducted. After screening these opportunities with each company's staff, 19 options were selected and implemented. Significant water savings (849,668 m3/year) were achieved as a result of the applications that targeted reduction of water use. In addition to water savings, the energy consumption was reduced by 3,607 MWh, which decreased the CO2 emissions by 904.1 tons/year. Moreover, the consumption of 278.4 tons/year of chemicals (e.g., NaCl, CdO, NaCN) was avoided, thus the corresponding pollution load to the wastewater treatment plant was reduced. Besides the tangible improvements, other gains were achieved, such as improved product quality, improved health and safety conditions, reduced maintenance requirements, and ensured compliance with national and EU regulations. To the best of the authors' knowledge, this study is the first ever activity in Turkey devoted to climate change adaptation in the private sector. This study may serve as a building block in Turkey for the integration of climate change adaptation and mitigation approach in the industry, since water efficiency (adaptation) and carbon reduction (mitigation) are achieved simultaneously.

[Effects of group psychological counseling on self-confidence and social adaptation of burn patients].

Science.gov (United States)

Dang, Rui; Wang, Yishen; Li, Na; He, Ting; Shi, Mengna; Liang, Yanyan; Zhu, Chan; Zhou, Yongbo; Qi, Zongshi; Hu, Dahai

2014-12-01

To explore the effects of group psychological counseling on the self-confidence and social adaptation of burn patients during the course of rehabilitation. Sixty-four burn patients conforming to the inclusion criteria and hospitalized from January 2012 to January 2014 in Xijing Hospital were divided into trial group and control group according to the method of rehabilitation, with 32 cases in each group. Patients in the two groups were given ordinary rehabilitation training for 8 weeks, and the patients in trial group were given a course of group psychological counseling in addition. The Rosenberg's Self-Esteem Scale was used to evaluate the changes in self-confidence levels, and the number of patients with inferiority complex, normal feeling, self-confidence, and over self-confidence were counted before and after treatment. The Abbreviated Burn-Specific Health Scale was used to evaluate physical function, psychological function, social relationship, health condition, and general condition before and after treatment to evaluate the social adaptation of patients. Data were processed with t test, chi-square test, Mann-Whitney U test, and Wilcoxon test. (1) After treatment, the self-confidence levels of patients in trial group were significantly higher than those in control group (Z = -2.573, P 0.05). (2) After treatment, the scores of psychological function, social relationship, health condition, and general condition were (87 ± 3), (47.8 ± 3.6), (49 ± 3), and (239 ± 10) points in trial group, which were significantly higher than those in control group [(79 ± 4), (38.3 ± 5.6), (46 ± 4), and (231 ± 9) points, with t values respectively -8.635, -8.125, -3.352, -3.609, P values below 0.01]. After treatment, the scores of physical function, psychological function, social relationship, health condition, and general condition in trial group were significantly higher than those before treatment (with t values from -33.282 to -19.515, P values below 0.05). The scores

Tracking Maneuvering Group Target with Extension Predicted and Best Model Augmentation Method Adapted

Directory of Open Access Journals (Sweden)

Linhai Gan

2017-01-01

Full Text Available The random matrix (RM method is widely applied for group target tracking. The assumption that the group extension keeps invariant in conventional RM method is not yet valid, as the orientation of the group varies rapidly while it is maneuvering; thus, a new approach with group extension predicted is derived here. To match the group maneuvering, a best model augmentation (BMA method is introduced. The existing BMA method uses a fixed basic model set, which may lead to a poor performance when it could not ensure basic coverage of true motion modes. Here, a maneuvering group target tracking algorithm is proposed, where the group extension prediction and the BMA adaption are exploited. The performance of the proposed algorithm will be illustrated by simulation.

Adaptive Programming Improves Outcomes in Drug Court: An Experimental Trial.

Science.gov (United States)

Marlowe, Douglas B; Festinger, David S; Dugosh, Karen L; Benasutti, Kathleen M; Fox, Gloria; Croft, Jason R

2012-04-01

Prior studies in Drug Courts reported improved outcomes when participants were matched to schedules of judicial status hearings based on their criminological risk level. The current experiment determined whether incremental efficacy could be gained by periodically adjusting the schedule of status hearings and clinical case-management sessions in response to participants' ensuing performance in the program. The adjustments were made pursuant to a priori criteria specified in an adaptive algorithm. Results confirmed that participants in the full adaptive condition (n = 62) were more than twice as likely as those assigned to baseline-matching only (n = 63) to be drug-abstinent during the first 18 weeks of the program; however, graduation rates and the average time to case resolution were not significantly different. The positive effects of the adaptive program appear to have stemmed from holding noncompliant participants more accountable for meeting their attendance obligations in the program. Directions for future research and practice implications are discussed.

M-Eco enhanced Adaptation Service (D5.2)

DEFF Research Database (Denmark)

Dolog, Peter; Durao, Frederico; Lage, Ricardo Gomes

2012-01-01

In this report, we present the improvements of the Adaptive Tuning and Personalization (WP5) component of the M-Eco system. This component is focused on four main areas of interest to users of surveillance systems: presentation options for recommendation and adaptation, user and group models, use...... interests. The main contributions of the report are spatial reasoning methods evaluated in group recommendations, personalized tag clouds, and web services integration....

Adaptive control of 5 DOF upper-limb exoskeleton robot with improved safety.

Science.gov (United States)

Kang, Hao-Bo; Wang, Jian-Hui

2013-11-01

This paper studies an adaptive control strategy for a class of 5 DOF upper-limb exoskeleton robot with a special safety consideration. The safety requirement plays a critical role in the clinical treatment when assisting patients with shoulder, elbow and wrist joint movements. With the objective of assuring the tracking performance of the pre-specified operations, the proposed adaptive controller is firstly designed to be robust to the model uncertainties. To further improve the safety and fault-tolerance in the presence of unknown large parameter variances or even actuator faults, the adaptive controller is on-line updated according to the information provided by an adaptive observer without additional sensors. An output tracking performance is well achieved with a tunable error bound. The experimental example also verifies the effectiveness of the proposed control scheme. © 2013 ISA. Published by ISA. All rights reserved.

Chronic grouped social restriction triggers long-lasting immune system adaptations.

Science.gov (United States)

Tian, Rui; Hou, Gonglin; Song, Liuwei; Zhang, Jianming; Yuan, Ti-Fei

2017-05-16

Chronic stress triggers rigorous psychological and physiological changes, including immunological system adaptations. However, the effects of long-term social restriction on human immune system have not been investigated. The present study is to investigate the effect of chronic stress on immune changes in human blood, with the stress stimuli controlled.10 male volunteers were group isolated from the modern society in a 50-meter-square room for 150 days, with enriched nutrition and good living conditions provided. Serum examination of immune system markers demonstrated numerous changes in different aspects of the immune functions. The changes were observed as early as 30 days and could last for another 150 days after the termination of the restriction period (300 days' time point). The results strongly argued for the adaptation of immunological system under chronic social restriction stress in adult human, preceding a clear change in psychological conditions. The changes of these immune system factors could as well act as the serum biomarkers in clinical early-diagnosis of stress-related disorders.

The effect of peer support groups on family adaptation from the perspective of wives of war veterans with posttraumatic stress disorder.

Science.gov (United States)

Vagharseyyedin, Seyyed Abolfazl; Gholami, Mojtaba; Hajihoseini, Morteza; Esmaeili, Aliakbar

2017-11-01

The aim of this study was to examine the effect of peer group support on family adaptation of wives of war veterans suffering from post-traumatic stress disorder (PTSD). In this randomized controlled trial, 80 wives of war veterans with PTSD were incorporated, and selected participants were randomly assigned into intervention and control groups (n = 40 per group). The intervention group was divided into four subgroups, with each participating in eight weekly based 1.5-hr peer support group sessions and the control group received no intervention. Demographics form and Family Adaptation Scale (FAS) developed by Antonovsky and Sourani (1988) were applied. The total mean scores of family adaptation increased significantly more in the intervention group than in the control group (p = .033). Furthermore, the time × group interaction effects were significant for internal family fit (p = .013) and a combination of both family fit and family community fit (p = .020) dimensions. Nonetheless family fit dimensions mean scores had no significant increase in the intervention group than the control group over time (p = .948). Peer support group can be a useful tool for health care professionals to enhance family adaptation in spouses of war veterans with PTSD. © 2017 Wiley Periodicals, Inc.

Can adaptive treatment improve outcomes in family-based therapy for adolescents with anorexia nervosa? Feasibility and treatment effects of a multi-site treatment study.

Science.gov (United States)

Lock, James; Le Grange, Daniel; Agras, W Stewart; Fitzpatrick, Kathleen Kara; Jo, Booil; Accurso, Erin; Forsberg, Sarah; Anderson, Kristen; Arnow, Kate; Stainer, Maya

2015-10-01

Adolescents with Anorexia Nervosa (AN), treated with family-based treatment (FBT) who fail to gain 2.3 kg by the fourth week of treatment have a 40-50% lower chance of recovery than those who do. Because of the high risk of developing enduring AN, improving outcomes in this group of poor responders is essential. This study examines the feasibility and effects of a novel adaptive treatment (i.e., Intensive Parental Coaching-IPC) aimed at enhancing parental self-efficacy related to re-feeding skills in poor early responders to FBT. 45 adolescents (12-18 years of age) meeting DSM TR IV criteria for AN were randomized in an unbalanced design (10 to standard FBT; 35 to the adaptive arm). Attrition, suitability, expectancy rates, weight change, and psychopathology were compared between groups. There were no differences in rates of attrition, suitability, expectancy ratings, or most clinical outcomes between randomized groups. However, the group of poor early responders that received IPC achieved full weight restoration (>95% of expected mean BMI) by EOT at similar rates as those who had responded early. The results of this study suggest that it is feasible to use an adaptive design to study the treatment effect of IPC for those who do not gain adequate weight by session 4 of FBT. The results also suggest that using IPC for poor early responders significantly improves weight recovery rates to levels comparable to those who respond early. A sufficiently powered study is needed to confirm these promising findings. Copyright © 2015 Elsevier Ltd. All rights reserved.

Fourier-space TEM reconstructions with symmetry adapted functions for all rotational point groups.

Science.gov (United States)

Trapani, Stefano; Navaza, Jorge

2013-05-01

A general-purpose and simple expression for the coefficients of symmetry adapted functions referred to conveniently oriented symmetry axes is given for all rotational point groups. The expression involves the computation of reduced Wigner-matrix elements corresponding to an angle specific to each group and has the computational advantage of leading to Fourier-space TEM (transmission electron microscopy) reconstruction procedures involving only real valued unknowns. Using this expression, a protocol for ab initio view and center assignment and reconstruction so far used for icosahedral particles has been tested with experimental data in other point groups. Copyright © 2013 Elsevier Inc. All rights reserved.

Acetate adaptation of clostridia tyrobutyricum for improved fermentation production of butyrate.

Science.gov (United States)

Jaros, Adam M; Rova, Ulrika; Berglund, Kris A

2013-12-01

Clostridium tyrobutyricum ATCC 25755 is an acidogenic bacterium capable of utilizing xylose for the fermentation production of butyrate. Hot water extraction of hardwood lingocellulose is an efficient method of producing xylose where autohydrolysis of xylan is catalysed by acetate originating from acetyl groups present in hemicellulose. The presence of acetic acid in the hydrolysate might have a severe impact on the subsequent fermentations. In this study the fermentation kinetics of C. tyrobutyricum cultures after being classically adapted for growth at 26.3 g/L acetate equivalents were studied. Analysis of xylose batch fermentations found that even in the presence of high levels of acetate, acetate adapted strains had similar fermentation kinetics as the parental strain cultivated without acetate. The parental strain exposed to acetate at inhibitory conditions demonstrated a pronounced lag phase (over 100 hours) in growth and butyrate production as compared to the adapted strain (25 hour lag) or non-inhibited controls (0 lag). Additional insight into the metabolic pathway of xylose consumption was gained by determining the specific activity of the acetate kinase (AK) enzyme in adapted versus control batches. AK activity was reduced by 63% in the presence of inhibitory levels of acetate, whether or not the culture had been adapted.

Image guided adaptive brachytherapy with combined intracavitary and interstitial technique improves the therapeutic ratio in locally advanced cervical cancer: Analysis from the retroEMBRACE study

DEFF Research Database (Denmark)

LU, Fokdal; Sturdza, Alina; Mazeron, Renaud

2016-01-01

Background and purpose Image guided adaptive brachytherapy (IGABT) using intracavitary applicators (IC) has led to a significant improvement of local control in locally advanced cervical cancer (LACC). Further improvement has been obtained with combined intracavitary/interstitial (IC/IS) applicat...... IC/IS brachytherapy improves the therapeutic ratio in LACC by enabling a tumour specific dose escalation resulting in significantly higher local control in large tumours without adding treatment related late morbidity.......Background and purpose Image guided adaptive brachytherapy (IGABT) using intracavitary applicators (IC) has led to a significant improvement of local control in locally advanced cervical cancer (LACC). Further improvement has been obtained with combined intracavitary/interstitial (IC....../IS) applicators. The aim of this analysis was to evaluate the impact on local control and late morbidity of application of combined IS/IC brachytherapy in a large multicentre population. Material/methods 610 patients with LACC from the retroEMBRACE study were included. Patients were divided into an IC group (N...

Visual training improves perceptual grouping based on basic stimulus features.

Science.gov (United States)

Kurylo, Daniel D; Waxman, Richard; Kidron, Rachel; Silverstein, Steven M

2017-10-01

Training on visual tasks improves performance on basic and higher order visual capacities. Such improvement has been linked to changes in connectivity among mediating neurons. We investigated whether training effects occur for perceptual grouping. It was hypothesized that repeated engagement of integration mechanisms would enhance grouping processes. Thirty-six participants underwent 15 sessions of training on a visual discrimination task that required perceptual grouping. Participants viewed 20 × 20 arrays of dots or Gabor patches and indicated whether the array appeared grouped as vertical or horizontal lines. Across trials stimuli became progressively disorganized, contingent upon successful discrimination. Four visual dimensions were examined, in which grouping was based on similarity in luminance, color, orientation, and motion. Psychophysical thresholds of grouping were assessed before and after training. Results indicate that performance in all four dimensions improved with training. Training on a control condition, which paralleled the discrimination task but without a grouping component, produced no improvement. In addition, training on only the luminance and orientation dimensions improved performance for those conditions as well as for grouping by color, on which training had not occurred. However, improvement from partial training did not generalize to motion. Results demonstrate that a training protocol emphasizing stimulus integration enhanced perceptual grouping. Results suggest that neural mechanisms mediating grouping by common luminance and/or orientation contribute to those mediating grouping by color but do not share resources for grouping by common motion. Results are consistent with theories of perceptual learning emphasizing plasticity in early visual processing regions.

Integrating adaptive management and ecosystem services concepts to improve natural resource management: Challenges and opportunities

Science.gov (United States)

Epanchin-Niell, Rebecca S.; Boyd, James W.; Macauley, Molly K.; Scarlett, Lynn; Shapiro, Carl D.; Williams, Byron K.

2018-05-07

Executive Summary—OverviewNatural resource managers must make decisions that affect broad-scale ecosystem processes involving large spatial areas, complex biophysical interactions, numerous competing stakeholder interests, and highly uncertain outcomes. Natural and social science information and analyses are widely recognized as important for informing effective management. Chief among the systematic approaches for improving the integration of science into natural resource management are two emergent science concepts, adaptive management and ecosystem services. Adaptive management (also referred to as “adaptive decision making”) is a deliberate process of learning by doing that focuses on reducing uncertainties about management outcomes and system responses to improve management over time. Ecosystem services is a conceptual framework that refers to the attributes and outputs of ecosystems (and their components and functions) that have value for humans.This report explores how ecosystem services can be moved from concept into practice through connection to a decision framework—adaptive management—that accounts for inherent uncertainties. Simultaneously, the report examines the value of incorporating ecosystem services framing and concepts into adaptive management efforts.Adaptive management and ecosystem services analyses have not typically been used jointly in decision making. However, as frameworks, they have a natural—but to date underexplored—affinity. Both are policy and decision oriented in that they attempt to represent the consequences of resource management choices on outcomes of interest to stakeholders. Both adaptive management and ecosystem services analysis take an empirical approach to the analysis of ecological systems. This systems orientation is a byproduct of the fact that natural resource actions affect ecosystems—and corresponding societal outcomes—often across large geographic scales. Moreover, because both frameworks focus on

Improved Adaptive LSB Steganography Based on Chaos and Genetic Algorithm

Science.gov (United States)

Yu, Lifang; Zhao, Yao; Ni, Rongrong; Li, Ting

2010-12-01

We propose a novel steganographic method in JPEG images with high performance. Firstly, we propose improved adaptive LSB steganography, which can achieve high capacity while preserving the first-order statistics. Secondly, in order to minimize visual degradation of the stego image, we shuffle bits-order of the message based on chaos whose parameters are selected by the genetic algorithm. Shuffling message's bits-order provides us with a new way to improve the performance of steganography. Experimental results show that our method outperforms classical steganographic methods in image quality, while preserving characteristics of histogram and providing high capacity.

Improved Adaptive LSB Steganography Based on Chaos and Genetic Algorithm

Directory of Open Access Journals (Sweden)

Yu Lifang

2010-01-01

Full Text Available We propose a novel steganographic method in JPEG images with high performance. Firstly, we propose improved adaptive LSB steganography, which can achieve high capacity while preserving the first-order statistics. Secondly, in order to minimize visual degradation of the stego image, we shuffle bits-order of the message based on chaos whose parameters are selected by the genetic algorithm. Shuffling message's bits-order provides us with a new way to improve the performance of steganography. Experimental results show that our method outperforms classical steganographic methods in image quality, while preserving characteristics of histogram and providing high capacity.

Sensorimotor adaptation is influenced by background music.

Science.gov (United States)

Bock, Otmar

2010-06-01

It is well established that listening to music can modify subjects' cognitive performance. The present study evaluates whether this so-called Mozart Effect extends beyond cognitive tasks and includes sensorimotor adaptation. Three subject groups listened to musical pieces that in the author's judgment were serene, neutral, or sad, respectively. This judgment was confirmed by the subjects' introspective reports. While listening to music, subjects engaged in a pointing task that required them to adapt to rotated visual feedback. All three groups adapted successfully, but the speed and magnitude of adaptive improvement was more pronounced with serene music than with the other two music types. In contrast, aftereffects upon restoration of normal feedback were independent of music type. These findings support the existence of a "Mozart effect" for strategic movement control, but not for adaptive recalibration. Possibly, listening to music modifies neural activity in an intertwined cognitive-emotional network.

The Improved Adaptive Silence Period Algorithm over Time-Variant Channels in the Cognitive Radio System

Directory of Open Access Journals (Sweden)

Jingbo Zhang

2018-01-01

Full Text Available In the field of cognitive radio spectrum sensing, the adaptive silence period management mechanism (ASPM has improved the problem of the low time-resource utilization rate of the traditional silence period management mechanism (TSPM. However, in the case of the low signal-to-noise ratio (SNR, the ASPM algorithm will increase the probability of missed detection for the primary user (PU. Focusing on this problem, this paper proposes an improved adaptive silence period management (IA-SPM algorithm which can adaptively adjust the sensing parameters of the current period in combination with the feedback information from the data communication with the sensing results of the previous period. The feedback information in the channel is achieved with frequency resources rather than time resources in order to adapt to the parameter change in the time-varying channel. The Monte Carlo simulation results show that the detection probability of the IA-SPM is 10–15% higher than that of the ASPM under low SNR conditions.

[Study of continuous quality improvement for clinical laboratory processes via the platform of Hospital Group].

Science.gov (United States)

Song, Wenqi; Shen, Ying; Peng, Xiaoxia; Tian, Jian; Wang, Hui; Xu, Lili; Nie, Xiaolu; Ni, Xin

2015-05-26

The program of continuous quality improvement in clinical laboratory processes for complete blood count (CBC) was launched via the platform of Beijing Children's Hospital Group in order to improve the quality of pediatric clinical laboratories. Fifteen children's hospitals of Beijing Children's Hospital group were investigated using the method of Chinese adapted continuous quality improvement with PDCA (Plan-Do-Check-Action). The questionnaire survey and inter-laboratory comparison was conducted to find the existing problems, to analyze reasons, to set forth quality targets and to put them into practice. Then, targeted training was conducted to 15 children's hospitals and the second questionnaire survey, self examinations by the clinical laboratories was performed. At the same time, the Group's online internal quality control platform was established. Overall effects of the program were evaluated so that lay a foundation for the next stage of PDCA. Both quality of control system documents and CBC internal quality control scheme for all of clinical laboratories were improved through this program. In addition, standardization of performance verification was also improved, especially with the comparable verification rate of precision and internal laboratory results up to 100%. In terms of instrument calibration and mandatory diagnostic rates, only three out of the 15 hospitals (20%) failed to pass muster in 2014 from 46.67% (seven out of the 15 hospitals) in 2013. The abnormal data of intraday precision variance coefficients of the five CBC indicator parameters (WBC, RBC, Hb, Plt and Hct) of all the 15 laboratories accounted for 1.2% (2/165) in 2014, a marked decrease from 9.6% (14/145) in 2013. While the number of the hospitals using only one horizontal quality control object for daily quality control has dropped to three from five. The 15 hospitals organized a total of 263 times of training in 2014 from 101 times in 2013, up 160%. The quality improvement program for

Collaboration of chemistry instructional games and group investigation (Gi) model to improve learning outcome in high school students

Science.gov (United States)

Puspita, Ita; Sugiyarto, Kristian H.; Ikhsan, Jaslin

2017-05-01

The aims of this research are to: (1) develop chemistry instructional games on reaction rate matter; and (2) reveal the collaboration of chemistry instructional games and group investigation model to improvement learning outcome in high school student. This study is research and development (R&D). The procedure of developing product was adapted from Borg & Gall that modified into three principal steps: product planning, product developing, and product evaluating. The product planning step consist of field study, literature study, and manufacturing product. Product developing was developed product using Adobe Flash Professional CS 6 program. The last, product evaluating was performed by year XI of high school students, uses experimental methods nonequivalent control-group design by control class and experiment class. The results of this research show that: (1) a software of chemistry instructional games successfully developed using Adobe Flash Professional CS 6 and can be run on Android device; and (2) the test results of students showed that the collaboration of instructional games and group investigation model able to improvement learning outcome of hight school student.

A technique for improved stability of adaptive feedforward controllers without detailed uncertainty measurements

International Nuclear Information System (INIS)

Berkhoff, A P

2012-01-01

Model errors in adaptive controllers for the reduction of broadband noise and vibrations may lead to unstable systems or increased error signals. Previous research on active structures with small damping has shown that the addition of a low-authority controller which increases damping in the system may lead to improved performance of an adaptive, high-authority controller. Other researchers have suggested the use of frequency dependent regularization based on measured uncertainties. In this paper an alternative method is presented that avoids the disadvantages of these methods, namely the additional complex hardware and the need to obtain detailed information on the uncertainties. An analysis is made of an adaptive feedforward controller in which a difference exists between the secondary path and the model as used in the controller. The real parts of the eigenvalues that determine the stability of the system are expressed in terms of the amount of uncertainty and the singular values of the secondary path. Modifications of the feedforward control scheme are suggested that aim to improve performance without requiring detailed uncertainty measurements. (paper)

Improving information for community-based adaptation

Energy Technology Data Exchange (ETDEWEB)

Huq, Saleemul

2011-10-15

Community-based adaptation aims to empower local people to cope with and plan for the impacts of climate change. In a world where knowledge equals power, you could be forgiven for thinking that enabling this type of adaptation boils down to providing local people with information. Conventional approaches to planning adaptation rely on 'expert' advice and credible 'science' from authoritative information providers such as the Intergovernmental Panel on Climate Change. But to truly support the needs of local communities, this information needs to be more site-specific, more user-friendly and more inclusive of traditional knowledge and existing coping practices.

Introgression of novel traits from a wild wheat relative improves drought adaptation in wheat.

Science.gov (United States)

Placido, Dante F; Campbell, Malachy T; Folsom, Jing J; Cui, Xinping; Kruger, Greg R; Baenziger, P Stephen; Walia, Harkamal

2013-04-01

Root architecture traits are an important component for improving water stress adaptation. However, selection for aboveground traits under favorable environments in modern cultivars may have led to an inadvertent loss of genes and novel alleles beneficial for adapting to environments with limited water. In this study, we elucidate the physiological and molecular consequences of introgressing an alien chromosome segment (7DL) from a wild wheat relative species (Agropyron elongatum) into cultivated wheat (Triticum aestivum). The wheat translocation line had improved water stress adaptation and higher root and shoot biomass compared with the control genotypes, which showed significant drops in root and shoot biomass during stress. Enhanced access to water due to higher root biomass enabled the translocation line to maintain more favorable gas-exchange and carbon assimilation levels relative to the wild-type wheat genotypes during water stress. Transcriptome analysis identified candidate genes associated with root development. Two of these candidate genes mapped to the site of translocation on chromosome 7DL based on single-feature polymorphism analysis. A brassinosteroid signaling pathway was predicted to be involved in the novel root responses observed in the A. elongatum translocation line, based on the coexpression-based gene network generated by seeding the network with the candidate genes. We present an effective and highly integrated approach that combines root phenotyping, whole-plant physiology, and functional genomics to discover novel root traits and the underlying genes from a wild related species to improve drought adaptation in cultivated wheat.

Improving of the Drones Group Control System

Directory of Open Access Journals (Sweden)

Tatiana Yurievna Morozova

2015-05-01

Full Text Available The article deals with the problem of drone group control, in particular, the problem of formation damage drone ensure safe movement of the group. To solve this problem is proposed to use multi-agent approach to the implementation of the overall strategy of management and metric routing algorithm for communication and the formation of the group. In general, the action of the control algorithms are shown and controlled drones in the formation of groups and roles. The conditions for the safe distance of the drone relative to each other in the group. It is shown that the combined use of these mechanisms can improve the efficiency of group management drone resistance groups to failures and failures, resulting in an increased probability of the assignment.

The feasibility of adapted group-based interpersonal therapy (IPT) for the treatment of depression by community health workers within the context of task shifting in South Africa.

Science.gov (United States)

Petersen, I; Bhana, A; Baillie, K

2012-06-01

Within the context of a large treatment gap for depression and a scarcity of specialist resources, there is a need for task shifting to scale up mental health services to address this gap in South Africa. This study assessed the feasibility of an adapted manualized version of grouped based Interpersonal Therapy (IPT) for use by supervised community health workers through a pilot study on 60 primary health care clinic users screened as having moderate to severe depression. Retention was good and participants in the group-based IPT intervention showed significant reduction in depressive symptoms on completion of the 12-week intervention as well as 24 weeks post baseline compared to the control group. Qualitative process evaluation suggests that improved social support, individual coping skills and improved personal agency assisted in the reduction of depressive symptoms.

Soft Thermal Sensor with Mechanical Adaptability.

Science.gov (United States)

Yang, Hui; Qi, Dianpeng; Liu, Zhiyuan; Chandran, Bevita K; Wang, Ting; Yu, Jiancan; Chen, Xiaodong

2016-11-01

A soft thermal sensor with mechanical adaptability is fabricated by the combination of single-wall carbon nanotubes with carboxyl groups and self-healing polymers. This study demonstrates that this soft sensor has excellent thermal response and mechanical adaptability. It shows tremendous promise for improving the service life of soft artificial-intelligence robots and protecting thermally sensitive electronics from the risk of damage by high temperature. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

European Climate Change Programme. Working Group II. Impacts and Adaptation. Urban Planning and Construction. Sectoral Report

International Nuclear Information System (INIS)

2007-03-01

Adaptation is a new policy area for the European Climate Change Policy. The Impacts and Adaptation Workgroup has been set up as part of European Climate Change Programme (ECCP II). The main objective of the workgroup is to explore options to improve Europe's resilience to climate change impacts, to encourage the integration of climate change adaptation into other policy areas at the European, national, regional and local level and to define the role of EU-wide policies complementing action by Member States. The aim of this initial programme of work is to identify good practice in the development of adaptation policy and foster learning from different sectoral experiences and explore a possible EU role in adaptation policies. The Commission has led a series of 10 sectoral meetings looking at adaptation issues for different sectors. One of these meetings looked at the impacts on urban planning and infrastructure in particular. This report summarises the state of play in the urban planning sector in relation to adaptation to climate change on the basis of the information gathered at the stakeholder meeting. Some of the other stakeholder meetings, such as the meeting on human health, have a strong connection with the urban planning agenda. Therefore, some actions in the sector report on adaptation and human health relate to urban planning and infrastructure considerations

Translation and adaptation of a questionnaire to assess the group processes of rehabilitation team conferences

NARCIS (Netherlands)

Roelofsen, E.E.; Lankhorst, G.J.; Bouter, L.M.

2001-01-01

Objective: To investigate the internal consistency, the domain structure and the influence of social desirability with regard to a questionnaire translated and adapted to assess the quality of rehabilitation team conferences in the Netherlands. Study design: A questionnaire to determine group

Adaptive evolution of the spike gene of SARS coronavirus: changes in positively selected sites in different epidemic groups

Directory of Open Access Journals (Sweden)

He Shao-Heng

2006-10-01

Full Text Available Abstract Background It is believed that animal-to-human transmission of severe acute respiratory syndrome (SARS coronavirus (CoV is the cause of the SARS outbreak worldwide. The spike (S protein is one of the best characterized proteins of SARS-CoV, which plays a key role in SARS-CoV overcoming species barrier and accomplishing interspecies transmission from animals to humans, suggesting that it may be the major target of selective pressure. However, the process of adaptive evolution of S protein and the exact positively selected sites associated with this process remain unknown. Results By investigating the adaptive evolution of S protein, we identified twelve amino acid sites (75, 239, 244, 311, 479, 609, 613, 743, 765, 778, 1148, and 1163 in the S protein under positive selective pressure. Based on phylogenetic tree and epidemiological investigation, SARS outbreak was divided into three epidemic groups: 02–04 interspecies, 03-early-mid, and 03-late epidemic groups in the present study. Positive selection was detected in the first two groups, which represent the course of SARS-CoV interspecies transmission and of viral adaptation to human host, respectively. In contrast, purifying selection was detected in 03-late group. These indicate that S protein experiences variable positive selective pressures before reaching stabilization. A total of 25 sites in 02–04 interspecies epidemic group and 16 sites in 03-early-mid epidemic group were identified under positive selection. The identified sites were different between these two groups except for site 239, which suggests that positively selected sites are changeable between groups. Moreover, it was showed that a larger proportion (24% of positively selected sites was located in receptor-binding domain (RBD than in heptad repeat (HR1-HR2 region in 02–04 interspecies epidemic group (p = 0.0208, and a greater percentage (25% of these sites occurred in HR1–HR2 region than in RBD in 03-early

Analysis and Improvement of Adaptive Coefficient Third Harmonic Voltage Differential Stator Grounding Protection

Directory of Open Access Journals (Sweden)

Ying Zhu

2018-06-01

Full Text Available This paper presents a novel third harmonic voltage differential stator grounding protection (THV-DSGP method combining the adaptive coefficient and fixed coefficient. It can solve the protection sensitivity degradation problem when the insulation resistance of stator winding to ground is slowly declining. This protection method retains the advantages of the adaptive coefficient, which is to maintain high sensitivity in case of an instantaneous ground fault. Moreover, the fixed coefficient can remember the initial insulation state of the stator winding and prevent relay failure when the stator insulation is slowly declining. In addition, due to zero-sequence voltage disconnection (ZSVD often leading to malfunctioning of the THV stator ground protection, the existing criterion of the ZSVD was improved according to the electrical characteristics of the generator when ZSVD happens. THV-DSGP with both adaptive coefficient and fixed coefficient was simulated in the Matlab/Simulink. The simulation results show that the proposed protection can be applied to the slow ground fault of the stator winding. Furthermore, the improved criterion of ZSVD can effectively distinguish the stator metal earth fault and the secondary loop break of the zero-sequence voltage.

Improving the Adaptability of Simulated Evolutionary Swarm Robots in Dynamically Changing Environments

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Yao, Yao; Marchal, Kathleen; Van de Peer, Yves

2014-01-01

One of the important challenges in the field of evolutionary robotics is the development of systems that can adapt to a changing environment. However, the ability to adapt to unknown and fluctuating environments is not straightforward. Here, we explore the adaptive potential of simulated swarm robots that contain a genomic encoding of a bio-inspired gene regulatory network (GRN). An artificial genome is combined with a flexible agent-based system, representing the activated part of the regulatory network that transduces environmental cues into phenotypic behaviour. Using an artificial life simulation framework that mimics a dynamically changing environment, we show that separating the static from the conditionally active part of the network contributes to a better adaptive behaviour. Furthermore, in contrast with most hitherto developed ANN-based systems that need to re-optimize their complete controller network from scratch each time they are subjected to novel conditions, our system uses its genome to store GRNs whose performance was optimized under a particular environmental condition for a sufficiently long time. When subjected to a new environment, the previous condition-specific GRN might become inactivated, but remains present. This ability to store ‘good behaviour’ and to disconnect it from the novel rewiring that is essential under a new condition allows faster re-adaptation if any of the previously observed environmental conditions is reencountered. As we show here, applying these evolutionary-based principles leads to accelerated and improved adaptive evolution in a non-stable environment. PMID:24599485

Improving the adaptability of simulated evolutionary swarm robots in dynamically changing environments.

Directory of Open Access Journals (Sweden)

Yao Yao

Full Text Available One of the important challenges in the field of evolutionary robotics is the development of systems that can adapt to a changing environment. However, the ability to adapt to unknown and fluctuating environments is not straightforward. Here, we explore the adaptive potential of simulated swarm robots that contain a genomic encoding of a bio-inspired gene regulatory network (GRN. An artificial genome is combined with a flexible agent-based system, representing the activated part of the regulatory network that transduces environmental cues into phenotypic behaviour. Using an artificial life simulation framework that mimics a dynamically changing environment, we show that separating the static from the conditionally active part of the network contributes to a better adaptive behaviour. Furthermore, in contrast with most hitherto developed ANN-based systems that need to re-optimize their complete controller network from scratch each time they are subjected to novel conditions, our system uses its genome to store GRNs whose performance was optimized under a particular environmental condition for a sufficiently long time. When subjected to a new environment, the previous condition-specific GRN might become inactivated, but remains present. This ability to store 'good behaviour' and to disconnect it from the novel rewiring that is essential under a new condition allows faster re-adaptation if any of the previously observed environmental conditions is reencountered. As we show here, applying these evolutionary-based principles leads to accelerated and improved adaptive evolution in a non-stable environment.

Performance Analysis of Hierarchical Group Key Management Integrated with Adaptive Intrusion Detection in Mobile ad hoc Networks

Science.gov (United States)

2016-04-05

applications in wireless networks such as military battlefields, emergency response, mobile commerce , online gaming, and collaborative work are based on the...www.elsevier.com/locate/peva Performance analysis of hierarchical group key management integrated with adaptive intrusion detection in mobile ad hoc...Accepted 19 September 2010 Available online 26 September 2010 Keywords: Mobile ad hoc networks Intrusion detection Group communication systems Group

78 FR 46361 - Trinity Adaptive Management Working Group; Public Meeting, Teleconference and Web-Based Meeting

Science.gov (United States)

2013-07-31

... stakeholders the opportunity to give policy, management, and technical input concerning Trinity River...-FF08EACT00] Trinity Adaptive Management Working Group; Public Meeting, Teleconference and Web-Based Meeting... Trinity Management Council (TMC). DATES: Public meeting, Teleconference, and web-based meeting: TAMWG and...

The Medicaid Medically Improved Group, Losing Disability...

Data.gov (United States)

U.S. Department of Health & Human Services — According to findings reported in, The Medicaid Medically Improved Group, Losing Disability Status and Growing Earnings, published in Volume 4, Issue 1 of the...

Improving Undergraduates’ Argumentative Group Essay Writing through Self-assessment

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Yong Mei Fung

2015-10-01

Full Text Available When writing an argumentative essay, writers develop and evaluate arguments to embody, initiate, or simulate various kinds of interpersonal and textual interaction for reader consideration (Wu & Allison, 2003. This is quite challenging for English as a second language (ESL learners. To improve the quality of their writing, students need to review their draft throughout the writing process. This study aimed to investigate the effect of self-assessment in group writing and how group work improves students’ writing ability. An intact class comprising 22 first-year undergraduates participated in the study.  Data were collected from pre- and post-treatment writing tests, semi-structured interview and reflection entries. The results revealed that self-assessment has a significant effect on students’ writing performance. Group work also enhanced social and cognitive development of the students. This study provides insights into the use of self-assessment in writing class to develop learner autonomy and improve writing ability. Keywords: Argumentative essay, Self-assessment, Learner autonomy, Group writing, ESL learners

Adapting the Survivor Game to Create a Group Learning Term Project in Business Finance

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Campbell, Robert D.

2017-01-01

A large and growing body of research supports the view that the small-group learning structure can be an effective tool to enhance student performance and encourage innovative problem solving. This paper explains in detail how the framework of the popular television reality show Survivor has been adapted to form a vehicle for a college level group…

GENOMIC APPROACHES FOR IMPROVEMENT OF DROUGHT ADAPTATION IN WHEAT

Directory of Open Access Journals (Sweden)

Dénes Dudits

2008-09-01

Full Text Available Breeding for yield stability under water limited conditions plays an essential role in the reduction of economic and social consequences of global climate changes. We show that two exotic drought resistant genotypes (Kobomughi and Plainsmann differ in root growth rate, root/shoot ratio, and adaptation to low soil water content. These genotypes exhibit characteristic transcript profiles as shown by barley macroarray studies using 10500 unigenes. Reprogramming of gene expression primarily occurred during the 1-2 weeks of water stress, and 6,1% of tested genes were up-regulated in roots of the more adaptive Plainsmann plants. The time course for expression of gene clusters from Kobomughi genotype revealed a prompt and transient gene activation that can help the survival of plants through function of various defense mechanisms. The aldo-keto reductases (AKRs can detoxify lipid peroxidation products (4-hydroxynon-2-enal and glycolysis-derived reactive aldehydes (metylglyoxal that contribute significantly to cellular damages caused by variety of environmental stresses such as drought, high light intensity, UV-B irradiation, cold. Overproduction of AKRs in transgenic tobacco or wheat plants provides considerable stress tolerance and resistance to methylglyoxal. Several transgenic wheat genotypes have been produced with production of elevated level of AKR enzyme. The drought tolerance of these materials was tested by a complex stress diagnostic system, that integrates imaging of plants and monitoring the leaf temperature and fluorescence induction. Based on these parameters, we can conclude that this transgenic strategy that is based on detoxification of lipid aldehyde can result in improved stress adaptation and reduced yield loss.

Adaptive capacity of the Adjusted Clinical Groups Case-Mix System to the cost of primary healthcare in Catalonia (Spain): a observational study.

Science.gov (United States)

Sicras-Mainar, Antoni; Velasco-Velasco, Soledad; Navarro-Artieda, Ruth; Prados-Torres, Alexandra; Bolibar-Ribas, Buenaventura; Violan-Fors, Concepción

2012-01-01

To describe the adaptive capacity of the Adjusted Clinical Groups (ACG) system to the cost of care in primary healthcare centres in Catalonia (Spain). Retrospective study (multicentres) conducted using computerised medical records. 13 primary care teams in 2008 were included. All patients registered in the study centres who required care between 1 January and 31 December 2008 were finally studied. Patients not registered in the study centres during the study period were excluded. Demographic (age and sex), dependent (cost of care) and case-mix variables were studied. The cost model for each patient was established by differentiating the fixed and variable costs. To evaluate the adaptive capacity of the ACG system, Pearson's coefficient of variation and the percentage of outliers were calculated. To evaluate the explanatory power of the ACG system, the authors used the coefficient of determination (R(2)). The number of patients studied was 227 235 (frequency: 5.9 visits per person per year), with a mean of 4.5 (3.2) episodes and 8.1 (8.2) visits per patient per year. The mean total cost was €654.2. The explanatory power of the ACG system was 36.9% for costs (56.5% without outliers). 10 ACG categories accounted for 60.1% of all cases and 19 for 80.9%. 5 categories represented 71% of poor performance (N=78 887, 34.7%), particularly category 0300-Acute Minor, Age 6+ (N=26 909, 11.8%), which had a coefficient of variation =139% and 6.6% of outliers. The ACG system is an appropriate manner of classifying patients in routine clinical practice in primary healthcare centres in Catalonia, although improvements to the adaptive capacity through disaggregation of some categories according to age groups and, especially, the number of acute episodes in paediatric patients would be necessary to reduce intra-group variation.

Adaptive clinical trial designs with pre-specified rules for modifying the sample size: understanding efficient types of adaptation.

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Levin, Gregory P; Emerson, Sarah C; Emerson, Scott S

2013-04-15

Adaptive clinical trial design has been proposed as a promising new approach that may improve the drug discovery process. Proponents of adaptive sample size re-estimation promote its ability to avoid 'up-front' commitment of resources, better address the complicated decisions faced by data monitoring committees, and minimize accrual to studies having delayed ascertainment of outcomes. We investigate aspects of adaptation rules, such as timing of the adaptation analysis and magnitude of sample size adjustment, that lead to greater or lesser statistical efficiency. Owing in part to the recent Food and Drug Administration guidance that promotes the use of pre-specified sampling plans, we evaluate alternative approaches in the context of well-defined, pre-specified adaptation. We quantify the relative costs and benefits of fixed sample, group sequential, and pre-specified adaptive designs with respect to standard operating characteristics such as type I error, maximal sample size, power, and expected sample size under a range of alternatives. Our results build on others' prior research by demonstrating in realistic settings that simple and easily implemented pre-specified adaptive designs provide only very small efficiency gains over group sequential designs with the same number of analyses. In addition, we describe optimal rules for modifying the sample size, providing efficient adaptation boundaries on a variety of scales for the interim test statistic for adaptation analyses occurring at several different stages of the trial. We thus provide insight into what are good and bad choices of adaptive sampling plans when the added flexibility of adaptive designs is desired. Copyright © 2012 John Wiley & Sons, Ltd.

Implementation of an Improved Adaptive Testing Theory

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Al-A'ali, Mansoor

2007-01-01

Computer adaptive testing is the study of scoring tests and questions based on assumptions concerning the mathematical relationship between examinees' ability and the examinees' responses. Adaptive student tests, which are based on item response theory (IRT), have many advantages over conventional tests. We use the least square method, a…

Solar multi-conjugate adaptive optics performance improvement

Science.gov (United States)

Zhang, Zhicheng; Zhang, Xiaofang; Song, Jie

2015-08-01

In order to overcome the effect of the atmospheric anisoplanatism, Multi-Conjugate Adaptive Optics (MCAO), which was developed based on turbulence correction by means of several deformable mirrors (DMs) conjugated to different altitude and by which the limit of a small corrected FOV that is achievable with AO is overcome and a wider FOV is able to be corrected, has been widely used to widen the field-of-view (FOV) of a solar telescope. With the assistance of the multi-threaded Adaptive Optics Simulator (MAOS), we can make a 3D reconstruction of the distorted wavefront. The correction is applied by one or more DMs. This technique benefits from information about atmospheric turbulence at different layers, which can be used to reconstruct the wavefront extremely well. In MAOS, the sensors are either simulated as idealized wavefront gradient sensors, tip-tilt sensors based on the best Zernike fit, or a WFS using physical optics and incorporating user specified pixel characteristics and a matched filter pixel processing algorithm. Only considering the atmospheric anisoplanatism, we focus on how the performance of a solar MCAO system is related to the numbers of DMs and their conjugate heights. We theoretically quantify the performance of the tomographic solar MCAO system. The results indicate that the tomographic AO system can improve the average Strehl ratio of a solar telescope by only employing one or two DMs conjugated to the optimum altitude. And the S.R. has a significant increase when more deformable mirrors are used. Furthermore, we discuss the effects of DM conjugate altitude on the correction achievable by the MCAO system, and present the optimum DM conjugate altitudes.

An Adaptive Cultural Algorithm with Improved Quantum-behaved Particle Swarm Optimization for Sonar Image Detection.

Science.gov (United States)

Wang, Xingmei; Hao, Wenqian; Li, Qiming

2017-12-18

This paper proposes an adaptive cultural algorithm with improved quantum-behaved particle swarm optimization (ACA-IQPSO) to detect the underwater sonar image. In the population space, to improve searching ability of particles, iterative times and the fitness value of particles are regarded as factors to adaptively adjust the contraction-expansion coefficient of the quantum-behaved particle swarm optimization algorithm (QPSO). The improved quantum-behaved particle swarm optimization algorithm (IQPSO) can make particles adjust their behaviours according to their quality. In the belief space, a new update strategy is adopted to update cultural individuals according to the idea of the update strategy in shuffled frog leaping algorithm (SFLA). Moreover, to enhance the utilization of information in the population space and belief space, accept function and influence function are redesigned in the new communication protocol. The experimental results show that ACA-IQPSO can obtain good clustering centres according to the grey distribution information of underwater sonar images, and accurately complete underwater objects detection. Compared with other algorithms, the proposed ACA-IQPSO has good effectiveness, excellent adaptability, a powerful searching ability and high convergence efficiency. Meanwhile, the experimental results of the benchmark functions can further demonstrate that the proposed ACA-IQPSO has better searching ability, convergence efficiency and stability.

Using adapted quality-improvement approaches to strengthen community-based health systems and improve care in high HIV-burden sub-Saharan African countries.

Science.gov (United States)

Horwood, Christiane M; Youngleson, Michele S; Moses, Edward; Stern, Amy F; Barker, Pierre M

2015-07-01

Achieving long-term retention in HIV care is an important challenge for HIV management and achieving elimination of mother-to-child transmission. Sustainable, affordable strategies are required to achieve this, including strengthening of community-based interventions. Deployment of community-based health workers (CHWs) can improve health outcomes but there is a need to identify systems to support and maintain high-quality performance. Quality-improvement strategies have been successfully implemented to improve quality and coverage of healthcare in facilities and could provide a framework to support community-based interventions. Four community-based quality-improvement projects from South Africa, Malawi and Mozambique are described. Community-based improvement teams linked to the facility-based health system participated in learning networks (modified Breakthrough Series), and used quality-improvement methods to improve process performance. Teams were guided by trained quality mentors who used local data to help nurses and CHWs identify gaps in service provision and test solutions. Learning network participants gathered at intervals to share progress and identify successful strategies for improvement. CHWs demonstrated understanding of quality-improvement concepts, tools and methods, and implemented quality-improvement projects successfully. Challenges of using quality-improvement approaches in community settings included adapting processes, particularly data reporting, to the education level and first language of community members. Quality-improvement techniques can be implemented by CHWs to improve outcomes in community settings but these approaches require adaptation and additional mentoring support to be successful. More research is required to establish the effectiveness of this approach on processes and outcomes of care.

Adaptive structured dictionary learning for image fusion based on group-sparse-representation

Science.gov (United States)

Yang, Jiajie; Sun, Bin; Luo, Chengwei; Wu, Yuzhong; Xu, Limei

2018-04-01

Dictionary learning is the key process of sparse representation which is one of the most widely used image representation theories in image fusion. The existing dictionary learning method does not use the group structure information and the sparse coefficients well. In this paper, we propose a new adaptive structured dictionary learning algorithm and a l1-norm maximum fusion rule that innovatively utilizes grouped sparse coefficients to merge the images. In the dictionary learning algorithm, we do not need prior knowledge about any group structure of the dictionary. By using the characteristics of the dictionary in expressing the signal, our algorithm can automatically find the desired potential structure information that hidden in the dictionary. The fusion rule takes the physical meaning of the group structure dictionary, and makes activity-level judgement on the structure information when the images are being merged. Therefore, the fused image can retain more significant information. Comparisons have been made with several state-of-the-art dictionary learning methods and fusion rules. The experimental results demonstrate that, the dictionary learning algorithm and the fusion rule both outperform others in terms of several objective evaluation metrics.

Incorporation of unique molecular identifiers in TruSeq adapters improves the accuracy of quantitative sequencing.

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Hong, Jungeui; Gresham, David

2017-11-01

Quantitative analysis of next-generation sequencing (NGS) data requires discriminating duplicate reads generated by PCR from identical molecules that are of unique origin. Typically, PCR duplicates are identified as sequence reads that align to the same genomic coordinates using reference-based alignment. However, identical molecules can be independently generated during library preparation. Misidentification of these molecules as PCR duplicates can introduce unforeseen biases during analyses. Here, we developed a cost-effective sequencing adapter design by modifying Illumina TruSeq adapters to incorporate a unique molecular identifier (UMI) while maintaining the capacity to undertake multiplexed, single-index sequencing. Incorporation of UMIs into TruSeq adapters (TrUMIseq adapters) enables identification of bona fide PCR duplicates as identically mapped reads with identical UMIs. Using TrUMIseq adapters, we show that accurate removal of PCR duplicates results in improved accuracy of both allele frequency (AF) estimation in heterogeneous populations using DNA sequencing and gene expression quantification using RNA-Seq.

Recruiting hard-to-reach United States population sub-groups via adaptations of snowball sampling strategy

Science.gov (United States)

Sadler, Georgia Robins; Lee, Hau-Chen; Seung-Hwan Lim, Rod; Fullerton, Judith

2011-01-01

Nurse researchers and educators often engage in outreach to narrowly defined populations. This article offers examples of how variations on the snowball sampling recruitment strategy can be applied in the creation of culturally appropriate, community-based information dissemination efforts related to recruitment to health education programs and research studies. Examples from the primary author’s program of research are provided to demonstrate how adaptations of snowball sampling can be effectively used in the recruitment of members of traditionally underserved or vulnerable populations. The adaptation of snowball sampling techniques, as described in this article, helped the authors to gain access to each of the more vulnerable population groups of interest. The use of culturally sensitive recruitment strategies is both appropriate and effective in enlisting the involvement of members of vulnerable populations. Adaptations of snowball sampling strategies should be considered when recruiting participants for education programs or subjects for research studies when recruitment of a population based sample is not essential. PMID:20727089

The Implementation of Group Investigation to Improve the Students' Speaking Skill

Science.gov (United States)

Iswardati

2016-01-01

This research aimed to find out how group investigation improves the student's speaking skill of the second grade students of SMA 2 Samarinda, how group investigation improves the student's participation in speaking of second grade students of SMA 2 Samarinda, and what the obstacles are in the implementation of Group Investigation. The classroom…

Locomotor Adaptation Improves Balance Control, Multitasking Ability and Reduces the Metabolic Cost of Postural Instability

Science.gov (United States)

Bloomberg, J. J.; Peters, B. T.; Mulavara, A. P.; Brady, R. A.; Batson, C. D.; Miller, C. A.; Ploutz-Snyder, R. J.; Guined, J. R.; Buxton, R. E.; Cohen, H. S.

2011-01-01

During exploration-class missions, sensorimotor disturbances may lead to disruption in the ability to ambulate and perform functional tasks during the initial introduction to a novel gravitational environment following a landing on a planetary surface. The overall goal of our current project is to develop a sensorimotor adaptability training program to facilitate rapid adaptation to these environments. We have developed a unique training system comprised of a treadmill placed on a motion-base facing a virtual visual scene. It provides an unstable walking surface combined with incongruent visual flow designed to enhance sensorimotor adaptability. Greater metabolic cost incurred during balance instability means more physical work is required during adaptation to new environments possibly affecting crewmembers? ability to perform mission critical tasks during early surface operations on planetary expeditions. The goal of this study was to characterize adaptation to a discordant sensory challenge across a number of performance modalities including locomotor stability, multi-tasking ability and metabolic cost. METHODS: Subjects (n=15) walked (4.0 km/h) on a treadmill for an 8 -minute baseline walking period followed by 20-minutes of walking (4.0 km/h) with support surface motion (0.3 Hz, sinusoidal lateral motion, peak amplitude 25.4 cm) provided by the treadmill/motion-base system. Stride frequency and auditory reaction time were collected as measures of locomotor stability and multi-tasking ability, respectively. Metabolic data (VO2) were collected via a portable metabolic gas analysis system. RESULTS: At the onset of lateral support surface motion, subj ects walking on our treadmill showed an increase in stride frequency and auditory reaction time indicating initial balance and multi-tasking disturbances. During the 20-minute adaptation period, balance control and multi-tasking performance improved. Similarly, throughout the 20-minute adaptation period, VO2 gradually

Improving Accuracy of Processing by Adaptive Control Techniques

Directory of Open Access Journals (Sweden)

N. N. Barbashov

2016-01-01

Full Text Available When machining the work-pieces a range of scatter of the work-piece dimensions to the tolerance limit is displaced in response to the errors. To improve an accuracy of machining and prevent products from defects it is necessary to diminish the machining error components, i.e. to improve the accuracy of machine tool, tool life, rigidity of the system, accuracy of adjustment. It is also necessary to provide on-machine adjustment after a certain time. However, increasing number of readjustments reduces the performance and high machine and tool requirements lead to a significant increase in the machining cost.To improve the accuracy and machining rate, various devices of active control (in-process gaging devices, as well as controlled machining through adaptive systems for a technological process control now become widely used. Thus, the accuracy improvement in this case is reached by compensation of a majority of technological errors. The sensors of active control can provide improving the accuracy of processing by one or two quality classes, and simultaneous operation of several machines.For efficient use of sensors of active control it is necessary to develop the accuracy control methods by means of introducing the appropriate adjustments to solve this problem. Methods based on the moving average, appear to be the most promising for accuracy control, since they contain information on the change in the last several measured values of the parameter under control.When using the proposed method in calculation, the first three members of the sequence of deviations remain unchanged, therefore 1 1 x  x , 2 2 x  x , 3 3 x  x Then, for each i-th member of the sequence we calculate that way: , ' i i i x  x  k x , where instead of the i x values will be populated with the corresponding values ' i x calculated as an average of three previous members:3 ' 1  2  3  i i i i x x x x .As a criterion for the estimate of the control

Stable adaptive PI control for permanent magnet synchronous motor drive based on improved JITL technique.

Science.gov (United States)

Zheng, Shiqi; Tang, Xiaoqi; Song, Bao; Lu, Shaowu; Ye, Bosheng

2013-07-01

In this paper, a stable adaptive PI control strategy based on the improved just-in-time learning (IJITL) technique is proposed for permanent magnet synchronous motor (PMSM) drive. Firstly, the traditional JITL technique is improved. The new IJITL technique has less computational burden and is more suitable for online identification of the PMSM drive system which is highly real-time compared to traditional JITL. In this way, the PMSM drive system is identified by IJITL technique, which provides information to an adaptive PI controller. Secondly, the adaptive PI controller is designed in discrete time domain which is composed of a PI controller and a supervisory controller. The PI controller is capable of automatically online tuning the control gains based on the gradient descent method and the supervisory controller is developed to eliminate the effect of the approximation error introduced by the PI controller upon the system stability in the Lyapunov sense. Finally, experimental results on the PMSM drive system show accurate identification and favorable tracking performance. Copyright © 2013 ISA. Published by Elsevier Ltd. All rights reserved.

Coping capacities for improving adaptation pathways for flood protection in Can Tho, Vietnam

Science.gov (United States)

Pathirana, A.; Radhakrishnan, M.; Quan, N. H.; Gersonius, B.; Ashley, R.; Zevenbergen, C.

2016-12-01

Studying the evolution of coping and adaptation capacities is a prerequisite for preparing an effective flood management plan for the future, especially in the dynamic and fast changing cities of developing countries. The objectives, requirements, targets, design and performance of flood protection measures will have to be determined after taking into account, or in conjunction with, the coping capacities. A methodology is presented based on adaptation pathways to account for coping capacities and to assess the effect on flood protection measures. The adaptation pathways method determines the point of failure of a particular strategy based on the change in an external driver, a point in time or a socio economic situation where / at which the strategy can no longer meet its objective. Pathways arrived at based on this methodology reflect future reality by considering changing engineering standards along with future uncertainties, risk taking abilities and adaptation capacities. This pathways based methodology determines the Adaptation tipping points (ATP), `time of occurrence of ATP' of flood protection measures after accounting for coping capacities, evaluates the measures and then provides the means to determine the adaptation pathways. Application of this methodology for flood protection measures in Can Tho city in the Mekong delta reveals the effect of coping capacity on the usefulness of flood protection measures and the delay in occurrence of tipping points. Consideration of coping capacity in the system owing to elevated property floor levels lead to the postponement of tipping points and improved the adaptation pathways comprising flood protection measures such as dikes. This information is useful to decision makers for planning and phasing of investments in flood protection.

Automatic video shot boundary detection using k-means clustering and improved adaptive dual threshold comparison

Science.gov (United States)

Sa, Qila; Wang, Zhihui

2018-03-01

At present, content-based video retrieval (CBVR) is the most mainstream video retrieval method, using the video features of its own to perform automatic identification and retrieval. This method involves a key technology, i.e. shot segmentation. In this paper, the method of automatic video shot boundary detection with K-means clustering and improved adaptive dual threshold comparison is proposed. First, extract the visual features of every frame and divide them into two categories using K-means clustering algorithm, namely, one with significant change and one with no significant change. Then, as to the classification results, utilize the improved adaptive dual threshold comparison method to determine the abrupt as well as gradual shot boundaries.Finally, achieve automatic video shot boundary detection system.

An adaptive grid to improve the efficiency and accuracy of modelling underwater noise from shipping

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Trigg, Leah; Chen, Feng; Shapiro, Georgy; Ingram, Simon; Embling, Clare

2017-04-01

Underwater noise from shipping is becoming a significant concern and has been listed as a pollutant under Descriptor 11 of the Marine Strategy Framework Directive. Underwater noise models are an essential tool to assess and predict noise levels for regulatory procedures such as environmental impact assessments and ship noise monitoring. There are generally two approaches to noise modelling. The first is based on simplified energy flux models, assuming either spherical or cylindrical propagation of sound energy. These models are very quick but they ignore important water column and seabed properties, and produce significant errors in the areas subject to temperature stratification (Shapiro et al., 2014). The second type of model (e.g. ray-tracing and parabolic equation) is based on an advanced physical representation of sound propagation. However, these acoustic propagation models are computationally expensive to execute. Shipping noise modelling requires spatial discretization in order to group noise sources together using a grid. A uniform grid size is often selected to achieve either the greatest efficiency (i.e. speed of computations) or the greatest accuracy. In contrast, this work aims to produce efficient and accurate noise level predictions by presenting an adaptive grid where cell size varies with distance from the receiver. The spatial range over which a certain cell size is suitable was determined by calculating the distance from the receiver at which propagation loss becomes uniform across a grid cell. The computational efficiency and accuracy of the resulting adaptive grid was tested by comparing it to uniform 1 km and 5 km grids. These represent an accurate and computationally efficient grid respectively. For a case study of the Celtic Sea, an application of the adaptive grid over an area of 160×160 km reduced the number of model executions required from 25600 for a 1 km grid to 5356 in December and to between 5056 and 13132 in August, which

A randomized controlled trial of culturally adapted motivational interviewing for Hispanic heavy drinkers: Theory of Adaptation and Study Protocol

Science.gov (United States)

Lee, Christina S.; Colby, Suzanne M.; Magill, Molly; Almeida, Joanna; Tavares, Tonya; Rohsenow, Damaris J.

2016-01-01

Background The NIH Strategic Plan prioritizes health disparities research for socially disadvantaged Hispanics, to reduce the disproportionate burden of alcohol-related negative consequences compared to other racial/ethnic groups. Cultural adaptation of evidence-based treatments, such as motivational interviewing (MI), can improve access and response to alcohol treatment. However, the lack of rigorous clinical trials designed to test the efficacy and theoretical underpinnings of cultural adaptation has made proof of concept difficult. Objective The CAMI2 (Culturally Adapted Motivational Interviewing) study design and its theoretical model, is described to illustrate how MI adapted to social and cultural factors (CAMI) can be discriminated against non-adapted MI. Methods and Design CAMI2, a large, 12 month randomized prospective trial, examines the efficacy of CAMI and MI among heavy drinking Hispanics recruited from the community (n=257). Outcomes are reductions in heavy drinking days (Time Line Follow-Back) and negative consequences of drinking among Hispanics (Drinkers Inventory of Consequences). A second aim examines perceived acculturation stress as a moderator of treatment outcomes in the CAMI condition. Summary The CAMI2 study design protocol is presented and the theory of adaptation is presented. Findings from the trial described may yield important recommendations on the science of cultural adaptation and improve MI dissemination to Hispanics with alcohol risk. PMID:27565832

NEWBORNS OF HIGH RISK GROUPS AND ELECTROPHYSIOLOGICAL CARDIAC ACTIVITY DURING THE PERIOD OF EARLY ADAPTATION

Directory of Open Access Journals (Sweden)

T. S. Tumaeva

2014-01-01

Full Text Available Aim: to study characteristics of electrophysiological cardiac activity in children of risk groups and to assess possibilities of Holter-electrocardiography (H-ECG in revealing of cardiac dysfunction during the period of early adaptation. Patients and methods: 250 newborns were examined. The main group consisted of 200 children with cerebral ischemia (CI. This group was divided into 2 subgroups: 100 full-term and 100 premature (at various gestation age infants. Control group contained 50 children born at 38–40th weeks of gestation with physiological course of pregnancy and delivery, APGAR score of 8–9 points. Complex examination included H-ECG according the standard technic with evaluation of the hearth rate (HR during sleep and wakefulness; HRmin, HRmax; arrhythmias, conductivity disorders, duration of the intervals; rhythm variability. Results: according to the ECG children with CI, especially premature ones, and children delivered via Cesarean section more often had ST-T disturbances, arrhythmias (sinus tachycardia, less often — sinus bradycardia and conductivity disorders, Q-Tc prolongation. H-EGC revealed decrease of sleep HR, HRmin and HRmax in children with CI especially in delivered via Cesarean section. The most common arrhythmia was supraventricular extrasystole.  Pauses in rhythms and variability were the highest in premature children delivered via Cesarean section. Conclusions: hypoxia/ischemia is a trigger for development of cardiovascular dysfuncion in newborns. Premature and children delivered via Cesarean section form a group of high risk. H-ECG widens possibilities of revealing of symptoms of cardiac dysfunction (disturbances at the basal level of functioning, of adaptation resources of the sinus node, electric instability of the myocardium and heart rate variability in children of risk group for development of cardiovascular disorders. 

Microseismic Event Location Improvement Using Adaptive Filtering for Noise Attenuation

Science.gov (United States)

de Santana, F. L., Sr.; do Nascimento, A. F.; Leandro, W. P. D. N., Sr.; de Carvalho, B. M., Sr.

2017-12-01

In this work we show how adaptive filtering noise suppression improves the effectiveness of the Source Scanning Algorithm (SSA; Kao & Shan, 2004) in microseism location in the context of fracking operations. The SSA discretizes the time and region of interest in a 4D vector and, for each grid point and origin time, a brigthness value (seismogram stacking) is calculated. For a given set of velocity model parameters, when origin time and hypocenter of the seismic event are correct, a maximum value for coherence (or brightness) is achieved. The result is displayed on brightness maps for each origin time. Location methods such as SSA are most effective when the noise present in the seismograms is incoherent, however, the method may present false positives when the noise present in the data is coherent as occurs in fracking operations. To remove from the seismograms, the coherent noise from the pump and engines used in the operation, we use an adaptive filter. As the noise reference, we use the seismogram recorded at the station closest to the machinery employed. Our methodology was tested on semi-synthetic data. The microseismic was represented by Ricker pulses (with central frequency of 30Hz) on synthetics seismograms, and to simulate real seismograms on a surface microseismic monitoring situation, we added real noise recorded in a fracking operation to these synthetics seismograms. The results show that after the filtering of the seismograms, we were able to improve our detection threshold and to achieve a better resolution on the brightness maps of the located events.

Multiclass Boosting with Adaptive Group-Based kNN and Its Application in Text Categorization

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Lei La

2012-01-01

Full Text Available AdaBoost is an excellent committee-based tool for classification. However, its effectiveness and efficiency in multiclass categorization face the challenges from methods based on support vector machine (SVM, neural networks (NN, naïve Bayes, and k-nearest neighbor (kNN. This paper uses a novel multi-class AdaBoost algorithm to avoid reducing the multi-class classification problem to multiple two-class classification problems. This novel method is more effective. In addition, it keeps the accuracy advantage of existing AdaBoost. An adaptive group-based kNN method is proposed in this paper to build more accurate weak classifiers and in this way control the number of basis classifiers in an acceptable range. To further enhance the performance, weak classifiers are combined into a strong classifier through a double iterative weighted way and construct an adaptive group-based kNN boosting algorithm (AGkNN-AdaBoost. We implement AGkNN-AdaBoost in a Chinese text categorization system. Experimental results showed that the classification algorithm proposed in this paper has better performance both in precision and recall than many other text categorization methods including traditional AdaBoost. In addition, the processing speed is significantly enhanced than original AdaBoost and many other classic categorization algorithms.

The effects of training group exercise class instructors to adopt a motivationally adaptive communication style.

Science.gov (United States)

Ntoumanis, N; Thøgersen-Ntoumani, C; Quested, E; Hancox, J

2017-09-01

Drawing from self-determination theory (Deci & Ryan, 2002), we developed and tested an intervention to train fitness instructors to adopt a motivationally adaptive communication style when interacting with exercisers. This was a parallel group, two-arm quasi-experimental design. Participants in the intervention arm were 29 indoor cycling instructors (n = 10 for the control arm) and 246 class members (n = 75 for the control arm). The intervention consisted of face-to-face workshops, education/information video clips, group discussions and activities, brainstorming, individual planning, and practical tasks in the cycling studio. Instructors and exercisers responded to validated questionnaires about instructors' use of motivational strategies and other motivation-related variables before the first workshop and at the end of the third and final workshop (4 months later). Time × arm interactions revealed no significant effects, possibly due to the large attrition of instructors and exercisers in the control arm. Within-group analyses in the intervention arm showed that exercisers' perceptions of instructor motivationally adaptive strategies, psychological need satisfaction, and intentions to remain in the class increased over time. Similarly, instructors in the intervention arm reported being less controlling and experiencing more need satisfaction over time. These results offer initial promising evidence for the positive impact of the training. © 2016 The Authors Scandinavian Journal of Medicine & Science in Sports Published by John Wiley & Sons Ltd.

Face Recognition by Bunch Graph Method Using a Group Based Adaptive Tolerant Neural Network

OpenAIRE

Aradhana D.; Girish H.; Karibasappa K.; Reddy A. Chennakeshava

2011-01-01

This paper presents a new method for feature extraction from the facial image by using bunch graph method. These extracted geometric features of the face are used subsequently for face recognition by utilizing the group based adaptive neural network. This method is suitable, when the facial images are rotation and translation invariant. Further the technique also free from size invariance of facial image and is capable of identifying the facial images correctly when corrupted w...

Improvements to the adaptive maneuvering logic program

Science.gov (United States)

Burgin, George H.

1986-01-01

The Adaptive Maneuvering Logic (AML) computer program simulates close-in, one-on-one air-to-air combat between two fighter aircraft. Three important improvements are described. First, the previously available versions of AML were examined for their suitability as a baseline program. The selected program was then revised to eliminate some programming bugs which were uncovered over the years. A listing of this baseline program is included. Second, the equations governing the motion of the aircraft were completely revised. This resulted in a model with substantially higher fidelity than the original equations of motion provided. It also completely eliminated the over-the-top problem, which occurred in the older versions when the AML-driven aircraft attempted a vertical or near vertical loop. Third, the requirements for a versatile generic, yet realistic, aircraft model were studied and implemented in the program. The report contains detailed tables which make the generic aircraft to be either a modern, high performance aircraft, an older high performance aircraft, or a previous generation jet fighter.

Renormalization group improved Yennie-Frautschi-Suura theory for Z0 physics

International Nuclear Information System (INIS)

Ward, B.F.L.

1987-06-01

Described is a recently developed renormalization group improved version of the program of Yennie, Frautschi and Suura for the exponentiation of infrared divergences in Abelian gauge theories. Particular attention is paid to the relevance of this renormalization group improved exponentiation to Z 0 physics at the SLC and LEP

An Improved Scale-Adaptive Simulation Model for Massively Separated Flows

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Yue Liu

2018-01-01

Full Text Available A new hybrid modelling method termed improved scale-adaptive simulation (ISAS is proposed by introducing the von Karman operator into the dissipation term of the turbulence scale equation, proper derivation as well as constant calibration of which is presented, and the typical circular cylinder flow at Re = 3900 is selected for validation. As expected, the proposed ISAS approach with the concept of scale-adaptive appears more efficient than the original SAS method in obtaining a convergent resolution, meanwhile, comparable with DES in visually capturing the fine-scale unsteadiness. Furthermore, the grid sensitivity issue of DES is encouragingly remedied benefiting from the local-adjusted limiter. The ISAS simulation turns out to attractively represent the development of the shear layers and the flow profiles of the recirculation region, and thus, the focused statistical quantities such as the recirculation length and drag coefficient are closer to the available measurements than DES and SAS outputs. In general, the new modelling method, combining the features of DES and SAS concepts, is capable to simulate turbulent structures down to the grid limit in a simple and effective way, which is practically valuable for engineering flows.

Improving the utility of the fine motor skills subscale of the comprehensive developmental inventory for infants and toddlers: a computerized adaptive test.

Science.gov (United States)

Huang, Chien-Yu; Tung, Li-Chen; Chou, Yeh-Tai; Chou, Willy; Chen, Kuan-Lin; Hsieh, Ching-Lin

2017-07-27

This study aimed at improving the utility of the fine motor subscale of the comprehensive developmental inventory for infants and toddlers (CDIIT) by developing a computerized adaptive test of fine motor skills. We built an item bank for the computerized adaptive test of fine motor skills using the fine motor subscale of the CDIIT items fitting the Rasch model. We also examined the psychometric properties and efficiency of the computerized adaptive test of fine motor skills with simulated computerized adaptive tests. Data from 1742 children with suspected developmental delays were retrieved. The mean scores of the fine motor subscale of the CDIIT increased along with age groups (mean scores = 1.36-36.97). The computerized adaptive test of fine motor skills contains 31 items meeting the Rasch model's assumptions (infit mean square = 0.57-1.21, outfit mean square = 0.11-1.17). For children of 6-71 months, the computerized adaptive test of fine motor skills had high Rasch person reliability (average reliability >0.90), high concurrent validity (rs = 0.67-0.99), adequate to excellent diagnostic accuracy (area under receiver operating characteristic = 0.71-1.00), and large responsiveness (effect size = 1.05-3.93). The computerized adaptive test of fine motor skills used 48-84% fewer items than the fine motor subscale of the CDIIT. The computerized adaptive test of fine motor skills used fewer items for assessment but was as reliable and valid as the fine motor subscale of the CDIIT. Implications for Rehabilitation We developed a computerized adaptive test based on the comprehensive developmental inventory for infants and toddlers (CDIIT) for assessing fine motor skills. The computerized adaptive test has been shown to be efficient because it uses fewer items than the original measure and automatically presents the results right after the test is completed. The computerized adaptive test is as reliable and valid as the CDIIT.

An adaptive orienting theory of error processing.

Science.gov (United States)

Wessel, Jan R

2018-03-01

The ability to detect and correct action errors is paramount to safe and efficient goal-directed behaviors. Existing work on the neural underpinnings of error processing and post-error behavioral adaptations has led to the development of several mechanistic theories of error processing. These theories can be roughly grouped into adaptive and maladaptive theories. While adaptive theories propose that errors trigger a cascade of processes that will result in improved behavior after error commission, maladaptive theories hold that error commission momentarily impairs behavior. Neither group of theories can account for all available data, as different empirical studies find both impaired and improved post-error behavior. This article attempts a synthesis between the predictions made by prominent adaptive and maladaptive theories. Specifically, it is proposed that errors invoke a nonspecific cascade of processing that will rapidly interrupt and inhibit ongoing behavior and cognition, as well as orient attention toward the source of the error. It is proposed that this cascade follows all unexpected action outcomes, not just errors. In the case of errors, this cascade is followed by error-specific, controlled processing, which is specifically aimed at (re)tuning the existing task set. This theory combines existing predictions from maladaptive orienting and bottleneck theories with specific neural mechanisms from the wider field of cognitive control, including from error-specific theories of adaptive post-error processing. The article aims to describe the proposed framework and its implications for post-error slowing and post-error accuracy, propose mechanistic neural circuitry for post-error processing, and derive specific hypotheses for future empirical investigations. © 2017 Society for Psychophysiological Research.

Effect of adaptability of field army recruits to psychological education

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Meng-xue ZHAO

2015-07-01

Full Text Available Objective　To explore the effect of psychological education adaptability on the mental quality and mental health of recruits of field army units. Methods　A total number of 1244 recruits who joined the army in 2012 were tested with Mental Quality Questionnaire of Armyman (MQQA, Symptom Checklist 90 (SCL-90, Self-rating Anxiety Scale (SAS, Selfrating Depression Scale (SDS, State-Trait Anxiety Inventory (STAI, and self-compiled questionnaire for adaptability psychological education. 568 recruits received adaptability psychological education for 10 times (sessions in the experimental group, and 676 in the control group did not receive the education. Results　After intervention, each dimension score of experimental and control groups on MQQA significantly increased (P0.05. Psychological education showed a significant effect on improving mental quality (P0.05. After education, the anxiety, depression, state-trait anxiety scores of the two groups reduced significantly (P<0.001; compared with the control group, the anxious emotion was effectively relieved by psychological education in experimental group (P<0.001. The recruits in the experimental group showed significant difference in 30 subjective evaluation items between before- and after-education periods (P<0.001. Conclusions　The adaptability psychological education has a significant effect on promoting the mental quality, mental health, emotional state and positive cognition of the recruits in field army units. DOI: 10.11855/j.issn.0577-7402.2015.06.15

Aperiodic dynamics in a deterministic adaptive network model of attitude formation in social groups

Science.gov (United States)

Ward, Jonathan A.; Grindrod, Peter

2014-07-01

Adaptive network models, in which node states and network topology coevolve, arise naturally in models of social dynamics that incorporate homophily and social influence. Homophily relates the similarity between pairs of nodes' states to their network coupling strength, whilst social influence causes coupled nodes' states to convergence. In this paper we propose a deterministic adaptive network model of attitude formation in social groups that includes these effects, and in which the attitudinal dynamics are represented by an activato-inhibitor process. We illustrate that consensus, corresponding to all nodes adopting the same attitudinal state and being fully connected, may destabilise via Turing instability, giving rise to aperiodic dynamics with sensitive dependence on initial conditions. These aperiodic dynamics correspond to the formation and dissolution of sub-groups that adopt contrasting attitudes. We discuss our findings in the context of cultural polarisation phenomena. Social influence. This reflects the fact that people tend to modify their behaviour and attitudes in response to the opinions of others [22-26]. We model social influence via diffusion: agents adjust their state according to a weighted sum (dictated by the evolving network) of the differences between their state and the states of their neighbours. Homophily. This relates the similarity of individuals' states to their frequency and strength of interaction [27]. Thus in our model, homophily drives the evolution of the weighted ‘social' network. A precise formulation of our model is given in Section 2. Social influence and homophily underpin models of social dynamics [21], which cover a wide range of sociological phenomena, including the diffusion of innovations [28-32], complex contagions [33-36], collective action [37-39], opinion dynamics [19,20,40,10,11,13,15,41,16], the emergence of social norms [42-44], group stability [45], social differentiation [46] and, of particular relevance

Improved adaptive genetic algorithm with sparsity constraint applied to thermal neutron CT reconstruction of two-phase flow

Science.gov (United States)

Yan, Mingfei; Hu, Huasi; Otake, Yoshie; Taketani, Atsushi; Wakabayashi, Yasuo; Yanagimachi, Shinzo; Wang, Sheng; Pan, Ziheng; Hu, Guang

2018-05-01

Thermal neutron computer tomography (CT) is a useful tool for visualizing two-phase flow due to its high imaging contrast and strong penetrability of neutrons for tube walls constructed with metallic material. A novel approach for two-phase flow CT reconstruction based on an improved adaptive genetic algorithm with sparsity constraint (IAGA-SC) is proposed in this paper. In the algorithm, the neighborhood mutation operator is used to ensure the continuity of the reconstructed object. The adaptive crossover probability P c and mutation probability P m are improved to help the adaptive genetic algorithm (AGA) achieve the global optimum. The reconstructed results for projection data, obtained from Monte Carlo simulation, indicate that the comprehensive performance of the IAGA-SC algorithm exceeds the adaptive steepest descent-projection onto convex sets (ASD-POCS) algorithm in restoring typical and complex flow regimes. It especially shows great advantages in restoring the simply connected flow regimes and the shape of object. In addition, the CT experiment for two-phase flow phantoms was conducted on the accelerator-driven neutron source to verify the performance of the developed IAGA-SC algorithm.

Perceptual adaptation of voice gender discrimination with spectrally shifted vowels.

Science.gov (United States)

Li, Tianhao; Fu, Qian-Jie

2011-08-01

To determine whether perceptual adaptation improves voice gender discrimination of spectrally shifted vowels and, if so, which acoustic cues contribute to the improvement. Voice gender discrimination was measured for 10 normal-hearing subjects, during 5 days of adaptation to spectrally shifted vowels, produced by processing the speech of 5 male and 5 female talkers with 16-channel sine-wave vocoders. The subjects were randomly divided into 2 groups; one subjected to 50-Hz, and the other to 200-Hz, temporal envelope cutoff frequencies. No preview or feedback was provided. There was significant adaptation in voice gender discrimination with the 200-Hz cutoff frequency, but significant improvement was observed only for 3 female talkers with F(0) > 180 Hz and 3 male talkers with F(0) gender discrimination under spectral shift conditions with perceptual adaptation, but spectral shift may limit the exclusive use of spectral information and/or the use of formant structure on voice gender discrimination. The results have implications for cochlear implant users and for understanding voice gender discrimination.

Moving forward with prisms: Sensory-motor adaptation improves gait initiation in Parkinson’s disease.

Directory of Open Access Journals (Sweden)

Janet Helen Bultitude

2012-09-01

Full Text Available It is postulated that the decreased walking speed; small, shuffling steps; and ‘freezing’ shown by patients with Parkinson’s disease could stem from an inability to tilt the body forward enough to provide sufficient forward propulsion. In two repeated-measures studies we examined whether adaptation to upward-shifting prisms, resulting in a downward after-effect, could improve gait initiation in healthy participants and patients with Parkinson’s disease. Faster forward stepping followed a brief (5 min exposure period for patients, and a longer (20 min exposure period for age-matched controls. Backward stepping was unchanged, and adaptation to downward-shifting prisms with control participants showed no effect on forward or backward stepping. These results suggest that adaptation of arm proprioception in the vertical plane may generalise to anterior-posterior postural control, presenting new possibilities for the treatment of gait disturbance in basal ganglia disorders.

The Implementation of Group Investigation to Improve the Students’ Speaking Skill

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Iswardati Iswardati

2016-12-01

Full Text Available This research aimed to find out how group investigation improves the student’s speaking skill of the second grade students of SMA 2 Samarinda, how group investigation improves the student’s participation in speaking of second grade students of SMA 2 Samarinda, and what the obstacles are in the implementation of Group Investigation. The classroom action research was employed in this study and was done in two cycles. Each cycle consisted of four stages: (1 planning, (2 action, (3 observation, and (4 reflection. Each cycle took three meetings. The instruments used to collect the data were observation, checklist, field-note, and speaking test. After the implementation of Group Investigation through two cycles, the researcher concluded: First, Group Investigation improves the students’ speaking ability by (a increasing the students’ pronunciation, grammatical, vocabulary, and fluency, (b by reducing the students’ reluctance to speak, worry of making mistakes, and afraid of being laughed at by other students. Second, Group Investigation improves the students’ participation in speaking (a the students learnt how to investigate a certain problem and to solve the problem using English, (b how to share, (c how to discuss, (d how to give their ideas, (e how to accept other opinions, and (f how to present their ideas. Third, the obstacles in the implementation of Group Investigation are: (a The students were noisy, (b Some students spent too short in the presentation, (c Some students had difficulties in expressing their arguments and suggestion related to the topics, and (d Few students dominated the group investigation.

Influence of Adaptive Comfort Models on Energy Improvement for Housing in Cold Areas

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Alexis Pérez-Fargallo

2018-03-01

Full Text Available The evaluation of construction standards using adaptive thermal comfort models has a great impact on energy consumption. The analysis of a user’s climate adaptation must be one of the first steps in the search for nearly/net Zero Energy Buildings (nZEB. The goal of this work is to analyze the standards recommended by the Chile’s Construction with Sustainability Criteria for the building of housing, applying the ASHRAE 55-2017 and EN 15251:2007 adaptive comfort models in social housing. The study produces concrete recommendations associated with construction strategies, to increase the number of hours the user finds themselves with acceptable thermal comfort levels, without repercussions for energy consumption. Sixteen parametric series were evaluated with a dynamic simulation of the most common prototype of social housing in the Bio-Bio Region. The study shows that thermal comfort conditions can be increased through a combination of improvement measures compared to the ECCS standard (Construction Standards with Sustainability Criteria: 27.52% in the case of applying EN 15251:2007 and 24.04% in the case of ASHRAE 55-2017.

Improvements in Dynamic Balance Using an Adaptive Snowboard with the Nintendo Wii.

Science.gov (United States)

Sullivan, Brendan; Harding, Alexandra G; Dingley, John; Gras, Laura Z

2012-08-01

The purpose of this case report is to see if a novel balance board could improve balance and gait of a subject with dynamic balance impairments and enjoyment of virtual rehabilitation training. A novel Adaptive Snowboard™ (developed by two of the authors, B.S. and J.D.) was used in conjunction with the Nintendo(®) (Redmond, WA) Wii™ snowboarding and wakeboarding games with a participant in a physical therapy outpatient clinic. Baseline measurements were taken for gait velocity and stride length, Four Square Step Test, Star Balance Excursion Test, Sensory Organization Test, and the Intrinsic Motivation Inventory. Two 60-90-minute sessions per week for 5 weeks included seven to nine trials of Wii snowboarding or wakeboarding games. Improvements were seen in every outcome measure. This study had comparable results to studies performed using a wobble board in that improvements in balance were made. Use of virtual snowboard simulation improved the subject's balance, gait speed, and stride length, as well as being an enjoyable activity.

Social networks improve leaderless group navigation by facilitating long-distance communication

Directory of Open Access Journals (Sweden)

Nikolai W. F. BODE, A. Jamie WOOD, Daniel W. FRANKS

2012-04-01

Full Text Available Group navigation is of great importance for many animals, such as migrating flocks of birds or shoals of fish. One theory states that group membership can improve navigational accuracy compared to limited or less accurate individual navigational ability in groups without leaders (“Many-wrongs principle”. Here, we simulate leaderless group navigation that includes social connections as preferential interactions between individuals. Our results suggest that underlying social networks can reduce navigational errors of groups and increase group cohesion. We use network summary statistics, in particular network motifs, to study which characteristics of networks lead to these improvements. It is networks in which preferences between individuals are not clustered, but spread evenly across the group that are advantageous in group navigation by effectively enhancing long-distance information exchange within groups. We suggest that our work predicts a base-line for the type of social structure we might expect to find in group-living animals that navigate without leaders [Current Zoology 58 (2: 329-341, 2012].

The impact of occupational therapy and lifestyle interventions on older persons' health, well-being, and occupational adaptation.

Science.gov (United States)

Johansson, Ann; Björklund, Anita

2016-01-01

The aim of this study was to investigate whether a four-month occupational based health-promoting programme for older persons living in community dwellings could maintain/improve their general health and well-being. Further, the aim was to explore whether the programme facilitated the older persons' occupational adaptation. The study had a quasi-experimental design, with a non-equivalent control group combined with semi-structured interviews. The intervention group comprised 22 participants, and the control group 18. Outcomes were measured using the Short Form 36, Life Satisfaction Index-Z and Meaningful Activity Participation Assessment. Content analysis, based on concepts from the Model of Occupational Adaptation, was used to analyse the interviews. The intervention group showed statistically significant improvements in general health variables such as vitality and mental health, and positive trends for psychological well-being. There were no statistically significant differences between the intervention group and the control group, but the groups were not fully matched. The qualitative analysis based on Occupational Adaptation pointed out social aspects as a compliment to the overall results. Participating in meaningful, challenging activities in different environments stimulates the occupational adaptation process; this is something occupational therapists could use to empower older persons to find their optimal occupational lives.

Group guidance services to improved creativity for teachers

Directory of Open Access Journals (Sweden)

Solihatun Solihatun

2017-11-01

Full Text Available Creativity in the learning process by teachers is very important in order to support the task at school. Teacher creativity allows teachers to apply various learning methods that encourage students' interest to learn from the classroom. Besides, creativity for teachers is needed to support student development. This study aims to determine the level of creativity of teachers through group guidance services. Subjects in this study involved 10 teachers at Gemma Insani Indonesia Depok. Data analysis used a quantitative approach with pre-test and post-test control group of one design. The results show effective group guidance to improve teacher creativity at Gemma Insani Indonesia Depok.

Integrating adaptive governance and participatory multicriteria methods: a framework for climate adaptation governance

Directory of Open Access Journals (Sweden)

Stefania Munaretto

2014-06-01

Full Text Available Climate adaptation is a dynamic social and institutional process where the governance dimension is receiving growing attention. Adaptive governance is an approach that promises to reduce uncertainty by improving the knowledge base for decision making. As uncertainty is an inherent feature of climate adaptation, adaptive governance seems to be a promising approach for improving climate adaptation governance. However, the adaptive governance literature has so far paid little attention to decision-making tools and methods, and the literature on the governance of adaptation is in its infancy in this regard. We argue that climate adaptation governance would benefit from systematic and yet flexible decision-making tools and methods such as participatory multicriteria methods for the evaluation of adaptation options, and that these methods can be linked to key adaptive governance principles. Moving from these premises, we propose a framework that integrates key adaptive governance features into participatory multicriteria methods for the governance of climate adaptation.

Adaptive Playware in Physical Games

DEFF Research Database (Denmark)

Lund, Henrik Hautop; Thorsteinsson, Arnar Tumi

2011-01-01

that the activity automatically will match the capability of the individual user. With small test groups, we investigate how different age groups and gender groups physically interact with some playware games, and find indications of differences between the groups. Despite the small test set, the results...... are a proof of existence of differences and of the need for adaptation, and therefore we investigate adaptation as an important issue for playware. With simple playware games, we show that the adaptation will speed the physical game up and down to find the appropriate level that matches the reaction speed......We describe how playware and games may adapt to the interaction of the individual user. We hypothesize that in physical games there are individual differences in user interaction capabilities and styles, and that adaptive playware may adapt to the individual user’s capabilities, so...

Contribution of the working group 2 to the fourth evaluation report of the inter government expert group on the climatic change. Evaluation 2007 of the climatic changes: impacts, adaptation and vulnerability; Contribution du Groupe de travail 2 au quatrieme rapport d'evaluation du Groupe d'expert intergouvernemental sur l'evolution du climat. Bilan 2007 des changements climatiques: impacts, adaptation et vulnerabilite

Energy Technology Data Exchange (ETDEWEB)

NONE

2007-07-01

This document exposes the results of the fourth evaluation report of the working group II of the inter government experts group on the climatic change. This evaluation presents the today scientific understanding of the climatic change impacts on the humans and their adaptation ability and vulnerability. It is based on the GIEC evaluations and new knowledge added since the third evaluation report. (A.L.B.)

Improving the evidence for ecosystem-based adaptation

Energy Technology Data Exchange (ETDEWEB)

Reid, Hannah

2011-11-15

Ecosystem-based approaches to adaptation (EBA) integrate the use of biodiversity and ecosystem services into an overall strategy for helping people adapt to climate change. The body of scientific evidence that indicates how effective they are is in some cases lacking but in other cases is dispersed across a range of related fields, such as natural resource management, disaster risk reduction and agroecology, from which it needs to be synthesised. Without presenting and strengthening this evidence in a consolidated way, EBA cannot secure the policy traction at local, national and international levels that it merits.

Gait Adaptability Training Improves Both Postural Stability and Dual-Tasking Ability

Science.gov (United States)

Brady, Rachel A.; Batson, Crystal D.; Peters, Brian T.; Ploutz-Snyder, Robert J.; Mulavara, Ajitkumar P.; Bloomberg, Jacob J.

2010-01-01

After spaceflight, the process of readapting to Earth's gravity commonly presents crewmembers with a variety of locomotor challenges. Our recent work has shown that the ability to adapt to a novel discordant sensorimotor environment can be increased through preflight training, so one focus of our laboratory has been the development of a gait training countermeasure to expedite the return of normal locomotor function after spaceflight. We used a training system comprising a treadmill mounted on a motion base facing a virtual visual scene that provided a variety of sensory challenges. As part of their participation in a larger retention study, 10 healthy adults completed 3 training sessions during which they walked on a treadmill at 1.1 m/s while receiving discordant support-surface and visual manipulations. After a single training session, subjects stride frequencies improved, and after 2 training sessions their auditory reaction times improved, where improvement was indicated by a return toward baseline values. Interestingly, improvements in reaction time came after stride frequency improvements plateaued. This finding suggests that postural stability was given a higher priority than a competing cognitive task. Further, it demonstrates that improvement in both postural stability and dual-tasking can be achieved with multiple training exposures. We conclude that, with training, individuals become more proficient at walking in discordant sensorimotor conditions and are able to devote more attention to competing tasks.

An Allegory of Addiction Recovery: Exploring the Performance of "Eumenides" by Aeschylus, as Adapted by 18 ANO Theatre Group

Science.gov (United States)

Zontou, Zoe

2013-01-01

This paper examines the performance of the "Eumenides," as adapted and performed by 18 ANO theatre group. 18 ANO is the theatre group of the Drug dependence treatment unit 18 ANO of Attica's Psychiatric Hospital, which is based in Athens, Greece. Each year 18 ANO organises performances in the wider community with the aim of promoting…

Enhanced cognitive behavioral therapy for eating disorders adapted for a group setting.

Science.gov (United States)

Wade, Stephanie; Byrne, Sue; Allen, Karina

2017-08-01

This randomized control trial is an evaluation of the effectiveness of enhanced cognitive behavioral treatment (CBT-E) for eating disorders adapted for a group setting. The study aimed to examine the effects of group CBT-E on eating disorder psychopathology and additional maintaining pathology. A transdiagnostic sample of individuals with eating disorders with a BMI ≥ 18 kg/m 2 (N = 40) were randomized to an immediate-start or delayed-start condition so as to compare therapeutic effects of group CBT-E with a waitlist control. Global Eating Disorder Examination Questionnaire (EDE-Q) scores, BMI, and measures of Clinical Perfectionism, Self-Esteem, Interpersonal Difficulties, and Mood Intolerance were measured across the 8-week control period, throughout the group treatment and at 3-months post-treatment. Over 70% of those who entered the trial completed treatment. The first eight weeks of group CBT-E were more effective at reducing Global EDE-Q scores than no treatment (waitlist control). By post-treatment, good outcome (a Global EDE-Q within 1 SD of Australian community norms plus BMI ≥ 18.5) was achieved by 67.9% of treatment completers and 66.7% of the total sample. Symptom abstinence within the previous month was reported by 14.3% of treatment completers and 10.3% of the total sample. Significant reductions in Clinical Perfectionism, Self-Esteem, Interpersonal Difficulties, and Mood Intolerance were also observed. This study demonstrated that a group version of CBT-E can be effective at reducing eating disorder psychopathology in a transdiagnostic sample of individuals with eating disorders. Group CBT-E could provide a means of increasing availability of evidence-based treatment for eating disorders. © 2017 Wiley Periodicals, Inc.

Optic flow improves adaptability of spatiotemporal characteristics during split-belt locomotor adaptation with tactile stimulation

OpenAIRE

Anthony Eikema, Diderik Jan A.; Chien, Jung Hung; Stergiou, Nicholas; Myers, Sara A.; Scott-Pandorf, Melissa M.; Bloomberg, Jacob J.; Mukherjee, Mukul

2015-01-01

Human locomotor adaptation requires feedback and feed-forward control processes to maintain an appropriate walking pattern. Adaptation may require the use of visual and proprioceptive input to decode altered movement dynamics and generate an appropriate response. After a person transfers from an extreme sensory environment and back, as astronauts do when they return from spaceflight, the prolonged period required for re-adaptation can pose a significant burden. In our previous paper, we showe...

Microleakage of Different Post Systems and a Custom Adapted Fiber Post

Directory of Open Access Journals (Sweden)

Farideh Geramipanah

2013-01-01

Full Text Available Objective: The effects of closely adapting a prefabricated fiber to the post space remain unknown. The purpose of this study was to quantify the microleakages of a custom adapted fiber-reinforced post, a prefabricated quartz fiber post and a cast post using nondestructive methods.Materials and Methods: Sixty-five extracted human premolars were endodontically treated and randomly divided into three groups (n=15, which were restored using a cast post-and-core, a custom adapted fiber post (Refropost with a microhybrid microfiller resin composite (Gradia, or a prefabricated quartz fiber post (DT light post and two groups of control ( n=10. All groups were cemented using a dual polymerizing resin cement (Panavia F2.0. A composite core (Z100 was used for the fiber posts. The microleakage was calculated for the experimental and control groups before and after thermal cycling and cycling loading using a radiotracer solution (thallium 201 chloride and a gamma counter device. Data were subjected to statistical analysis of ANOVA and Tukey HSD at significant level of P< 0.05.Results: Significantly lower microleakage values were found for the cast post-and-core (mean value =16.04 ×104 and custom adapted fiber post groups (mean value=14.36×104. Thermal cycling and cyclic loading had no significant effect on the microleakage value of any tested group.Conclusion: Post systems with improved adaptation showed similar microleakage to casting post

How social information can improve estimation accuracy in human groups.

Science.gov (United States)

Jayles, Bertrand; Kim, Hye-Rin; Escobedo, Ramón; Cezera, Stéphane; Blanchet, Adrien; Kameda, Tatsuya; Sire, Clément; Theraulaz, Guy

2017-11-21

In our digital and connected societies, the development of social networks, online shopping, and reputation systems raises the questions of how individuals use social information and how it affects their decisions. We report experiments performed in France and Japan, in which subjects could update their estimates after having received information from other subjects. We measure and model the impact of this social information at individual and collective scales. We observe and justify that, when individuals have little prior knowledge about a quantity, the distribution of the logarithm of their estimates is close to a Cauchy distribution. We find that social influence helps the group improve its properly defined collective accuracy. We quantify the improvement of the group estimation when additional controlled and reliable information is provided, unbeknownst to the subjects. We show that subjects' sensitivity to social influence permits us to define five robust behavioral traits and increases with the difference between personal and group estimates. We then use our data to build and calibrate a model of collective estimation to analyze the impact on the group performance of the quantity and quality of information received by individuals. The model quantitatively reproduces the distributions of estimates and the improvement of collective performance and accuracy observed in our experiments. Finally, our model predicts that providing a moderate amount of incorrect information to individuals can counterbalance the human cognitive bias to systematically underestimate quantities and thereby improve collective performance. Copyright © 2017 the Author(s). Published by PNAS.

Adaptivity in GRAPPLE: Adaptation in any way you like (Poster)

NARCIS (Netherlands)

De Bra, P.M.E.; Smits, D.; Pechenizkiy, M.; Vasilyeva, E.; Bonk, C.J.; et al., xx

2008-01-01

GRAPPLE is an EU funded IST FP7 project that brings together a group of researchers into adaptive learning technology and environments and developers of learning management systems (LMSs), in order to offer adaptive learning as a standard feature of future LMSs. This paper presents the adaptation

The Contextualized Technology Adaptation Process (CTAP): Optimizing Health Information Technology to Improve Mental Health Systems.

Science.gov (United States)

Lyon, Aaron R; Wasse, Jessica Knaster; Ludwig, Kristy; Zachry, Mark; Bruns, Eric J; Unützer, Jürgen; McCauley, Elizabeth

2016-05-01

Health information technologies have become a central fixture in the mental healthcare landscape, but few frameworks exist to guide their adaptation to novel settings. This paper introduces the contextualized technology adaptation process (CTAP) and presents data collected during Phase 1 of its application to measurement feedback system development in school mental health. The CTAP is built on models of human-centered design and implementation science and incorporates repeated mixed methods assessments to guide the design of technologies to ensure high compatibility with a destination setting. CTAP phases include: (1) Contextual evaluation, (2) Evaluation of the unadapted technology, (3) Trialing and evaluation of the adapted technology, (4) Refinement and larger-scale implementation, and (5) Sustainment through ongoing evaluation and system revision. Qualitative findings from school-based practitioner focus groups are presented, which provided information for CTAP Phase 1, contextual evaluation, surrounding education sector clinicians' workflows, types of technologies currently available, and influences on technology use. Discussion focuses on how findings will inform subsequent CTAP phases, as well as their implications for future technology adaptation across content domains and service sectors.

The Contextualized Technology Adaptation Process (CTAP): Optimizing Health Information Technology to Improve Mental Health Systems

Science.gov (United States)

Lyon, Aaron R.; Wasse, Jessica Knaster; Ludwig, Kristy; Zachry, Mark; Bruns, Eric J.; Unützer, Jürgen; McCauley, Elizabeth

2015-01-01

Health information technologies have become a central fixture in the mental healthcare landscape, but few frameworks exist to guide their adaptation to novel settings. This paper introduces the Contextualized Technology Adaptation Process (CTAP) and presents data collected during Phase 1 of its application to measurement feedback system development in school mental health. The CTAP is built on models of human-centered design and implementation science and incorporates repeated mixed methods assessments to guide the design of technologies to ensure high compatibility with a destination setting. CTAP phases include: (1) Contextual evaluation, (2) Evaluation of the unadapted technology, (3) Trialing and evaluation of the adapted technology, (4) Refinement and larger-scale implementation, and (5) Sustainment through ongoing evaluation and system revision. Qualitative findings from school-based practitioner focus groups are presented, which provided information for CTAP Phase 1, contextual evaluation, surrounding education sector clinicians’ workflows, types of technologies currently available, and influences on technology use. Discussion focuses on how findings will inform subsequent CTAP phases, as well as their implications for future technology adaptation across content domains and service sectors. PMID:25677251

Teaching "Yes, And" … Improv in Sales Classes: Enhancing Student Adaptive Selling Skills, Sales Performance, and Teaching Evaluations

Science.gov (United States)

Rocco, Richard A.; Whalen, D. Joel

2014-01-01

In an application of experiential learning, assessment, and career development, this article reports a field experiment of teaching sales students adaptive selling skills via an "Improvisational (Improv) Comedy" technique: "Yes, And." Students learn this well-established theatrical improv method via classroom lecture,…

Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation.

Science.gov (United States)

Ferraro, Jeffrey P; Daumé, Hal; Duvall, Scott L; Chapman, Wendy W; Harkema, Henk; Haug, Peter J

2013-01-01

Natural language processing (NLP) tasks are commonly decomposed into subtasks, chained together to form processing pipelines. The residual error produced in these subtasks propagates, adversely affecting the end objectives. Limited availability of annotated clinical data remains a barrier to reaching state-of-the-art operating characteristics using statistically based NLP tools in the clinical domain. Here we explore the unique linguistic constructions of clinical texts and demonstrate the loss in operating characteristics when out-of-the-box part-of-speech (POS) tagging tools are applied to the clinical domain. We test a domain adaptation approach integrating a novel lexical-generation probability rule used in a transformation-based learner to boost POS performance on clinical narratives. Two target corpora from independent healthcare institutions were constructed from high frequency clinical narratives. Four leading POS taggers with their out-of-the-box models trained from general English and biomedical abstracts were evaluated against these clinical corpora. A high performing domain adaptation method, Easy Adapt, was compared to our newly proposed method ClinAdapt. The evaluated POS taggers drop in accuracy by 8.5-15% when tested on clinical narratives. The highest performing tagger reports an accuracy of 88.6%. Domain adaptation with Easy Adapt reports accuracies of 88.3-91.0% on clinical texts. ClinAdapt reports 93.2-93.9%. ClinAdapt successfully boosts POS tagging performance through domain adaptation requiring a modest amount of annotated clinical data. Improving the performance of critical NLP subtasks is expected to reduce pipeline error propagation leading to better overall results on complex processing tasks.

Outcomes and Experiences of an Adapted Dialectic Behaviour Therapy Skills Training Group for People with Intellectual Disabilities

Science.gov (United States)

Crossland, Tom; Hewitt, Olivia; Walden, Sarah

2017-01-01

Background: A growing body of evidence supports the use of Dialectic Behaviour Therapy with people with an intellectual disability. Various adaptation have been used in studies exploring the efficacy of this intervention. Method: A Dialectic Behaviour Therapy DBT skills training group was attended by people with an intellectual disability and…

The optimal monochromatic spectral computed tomographic imaging plus adaptive statistical iterative reconstruction algorithm can improve the superior mesenteric vessel image quality

Energy Technology Data Exchange (ETDEWEB)

Yin, Xiao-Ping; Zuo, Zi-Wei; Xu, Ying-Jin; Wang, Jia-Ning [CT/MRI room, Affiliated Hospital of Hebei University, Baoding, Hebei, 071000 (China); Liu, Huai-Jun, E-mail: hebeiliu@outlook.com [Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, 050000 (China); Liang, Guang-Lu [CT/MRI room, Affiliated Hospital of Hebei University, Baoding, Hebei, 071000 (China); Gao, Bu-Lang, E-mail: browngao@163.com [Department of Medical Research, Shijiazhuang First Hospital, Shijiazhuang, Hebei, 050011 (China)

2017-04-15

Objective: To investigate the effect of the optimal monochromatic spectral computed tomography (CT) plus adaptive statistical iterative reconstruction on the improvement of the image quality of the superior mesenteric artery and vein. Materials and methods: The gemstone spectral CT angiographic data of 25 patients were reconstructed in the following three groups: 70 KeV, the optimal monochromatic imaging, and the optimal monochromatic plus 40%iterative reconstruction mode. The CT value, image noises (IN), background CT value and noises, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR) and image scores of the vessels and surrounding tissues were analyzed. Results: In the 70 KeV, the optimal monochromatic and the optimal monochromatic images plus 40% iterative reconstruction group, the mean scores of image quality were 3.86, 4.24 and 4.25 for the superior mesenteric artery and 3.46, 3.78 and 3.81 for the superior mesenteric vein, respectively. The image quality scores for the optimal monochromatic and the optimal monochromatic plus 40% iterative reconstruction groups were significantly greater than for the 70 KeV group (P < 0.05). The vascular CT value, image noise, background noise, CNR and SNR were significantly (P < 0.001) greater in the optimal monochromatic and the optimal monochromatic images plus 40% iterative reconstruction group than in the 70 KeV group. The optimal monochromatic plus 40% iterative reconstruction group had significantly (P < 0.05) lower image and background noise but higher CNR and SNR than the other two groups. Conclusion: The optimal monochromatic imaging combined with 40% iterative reconstruction using low-contrast agent dosage and low injection rate can significantly improve the image quality of the superior mesenteric artery and vein.

Design and FPGA-implementation of an improved adaptive fuzzy logic controller for DC motor speed control

Directory of Open Access Journals (Sweden)

E.A. Ramadan

2014-09-01

Full Text Available This paper presents an improved adaptive fuzzy logic speed controller for a DC motor, based on field programmable gate array (FPGA hardware implementation. The developed controller includes an adaptive fuzzy logic control (AFLC algorithm, which is designed and verified with a nonlinear model of DC motor. Then, it has been synthesised, functionally verified and implemented using Xilinx Integrated Software Environment (ISE and Spartan-3E FPGA. The performance of this controller has been successfully validated with good tracking results under different operating conditions.

Direction: happiness : improving well-being of vulnerable groups

NARCIS (Netherlands)

Weiss, Laura Anne

2016-01-01

In the PhD-thesis ‘Direction: Happiness. Improving well-being of vulnerable groups’, the effects of the Happiness Route, a positive psychology intervention, were examined. The intervention is directed at a vulnerable group with an accumulation of risk factors for a low well-being; lonely people with

The Influence of Learning Behaviour on Team Adaptability

Science.gov (United States)

Murray, Peter A.; Millett, Bruce

2011-01-01

Multiple contexts shape team activities and how they learn, and group learning is a dynamic construct that reflects a repertoire of potential behaviour. The purpose of this developmental paper is to examine how better learning behaviours in semi-autonomous teams improves the level of team adaptability and performance. The discussion suggests that…

The effects of short-lasting anti-saccade training in homonymous hemianopia with and without saccadic adaptation

Directory of Open Access Journals (Sweden)

Delphine eLévy-Bencheton

2016-01-01

Full Text Available Homonymous Visual Field Defects (HVFD are common following stroke and can be highly debilitating for visual perception and higher level cognitive functions such as exploring visual scene or reading a text. Rehabilitation using oculomotor compensatory methods with automatic training over a short duration (~15 days have been shown as efficient as longer voluntary training methods (>1 month. Here, we propose to evaluate and compare the effect of an original HVFD rehabilitation method based on a single 15 min voluntary anti-saccades task (AS toward the blind hemifield, with automatic sensorimotor adaptation to increase AS amplitude. In order to distinguish between adaptation and training effect, fourteen left- or right-HVFD patients were exposed, one month apart, to three training, two isolated AS task (Delayed-shift & No-shift paradigm and one combined with AS adaptation (Adaptation paradigm. A quality of life questionnaire (NEI-VFQ 25 and functional measurements (reading speed, visual exploration time in pop-out and serial tasks as well as oculomotor measurements were assessed before and after each training. We could not demonstrate significant adaptation at the group level, but we identified a group of 9 adapted patients. While AS training itself proved to demonstrate significant functional improvements in the overall patient group , we could also demonstrate in the sub-group of adapted patients and specifically following the adaptation training, an increase of saccade amplitude during the reading task (left-HVFD patients and the Serial exploration task, and improvement of the visual quality of life. We conclude that short-lasting AS training combined with adaptation could be implemented in rehabilitation methods of cognitive dysfunctions following HVFD. Indeed, both voluntary and automatic processes have shown interesting effects on the control of visually guided saccades in different cognitive tasks.

Introgression of Physiological Traits for a Comprehensive Improvement of Drought Adaptation in Crop Plants

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Sheshshayee M. Sreeman

2018-04-01

Full Text Available Burgeoning population growth, industrial demand, and the predicted global climate change resulting in erratic monsoon rains are expected to severely limit fresh water availability for agriculture both in irrigated and rainfed ecosystems. In order to remain food and nutrient secure, agriculture research needs to focus on devising strategies to save water in irrigated conditions and to develop superior cultivars with improved water productivity to sustain yield under rainfed conditions. Recent opinions accruing in the scientific literature strongly favor the adoption of a “trait based” crop improvement approach for increasing water productivity. Traits associated with maintenance of positive tissue turgor and maintenance of increased carbon assimilation are regarded as most relevant to improve crop growth rates under water limiting conditions and to enhance water productivity. The advent of several water saving agronomic practices notwithstanding, a genetic enhancement strategy of introgressing distinct physiological, morphological, and cellular mechanisms on to a single elite genetic background is essential for achieving a comprehensive improvement in drought adaptation in crop plants. The significant progress made in genomics, though would provide the necessary impetus, a clear understanding of the “traits” to be introgressed is the most essential need of the hour. Water uptake by a better root architecture, water conservation by preventing unproductive transpiration are crucial for maintaining positive tissue water relations. Improved carbon assimilation associated with carboxylation capacity and mesophyll conductance is important in sustaining crop growth rates under water limited conditions. Besides these major traits, we summarize the available information in literature on classifying various drought adaptive traits. We provide evidences that Water-Use Efficiency when introgressed with moderately higher transpiration, would

Multi-objective optimization of p-xylene oxidation process using an improved self-adaptive differential evolution algorithm

Institute of Scientific and Technical Information of China (English)

Lili Tao; Bin Xu; Zhihua Hu; Weimin Zhong

2017-01-01

The rise in the use of global polyester fiber contributed to strong demand of the Terephthalic acid (TPA). The liquid-phase catalytic oxidation of p-xylene (PX) to TPA is regarded as a critical and efficient chemical process in industry [1]. PX oxidation reaction involves many complex side reactions, among which acetic acid combustion and PX combustion are the most important. As the target product of this oxidation process, the quality and yield of TPA are of great concern. However, the improvement of the qualified product yield can bring about the high energy consumption, which means that the economic objectives of this process cannot be achieved simulta-neously because the two objectives are in conflict with each other. In this paper, an improved self-adaptive multi-objective differential evolution algorithm was proposed to handle the multi-objective optimization prob-lems. The immune concept is introduced to the self-adaptive multi-objective differential evolution algorithm (SADE) to strengthen the local search ability and optimization accuracy. The proposed algorithm is successfully tested on several benchmark test problems, and the performance measures such as convergence and divergence metrics are calculated. Subsequently, the multi-objective optimization of an industrial PX oxidation process is carried out using the proposed immune self-adaptive multi-objective differential evolution algorithm (ISADE). Optimization results indicate that application of ISADE can greatly improve the yield of TPA with low combustion loss without degenerating TA quality.

Working group report on forestry

International Nuclear Information System (INIS)

MacIver, D.

1991-01-01

The results and conclusions of a working group held to discuss the state of knowledge and information needs concerning potential climate change implications for forestry are presented. The lack of knowledge in some basic processes, for example physiological and genetics, limits ability to evaluate and project the adaptation and responses to climate change. Areas where knowledge is weak include: the potential maximum productivity for a given climate region; the extent to which climate change can be accomodated by genetic adaptation; ways to improve the temporal/spatial distribution of projected precipitation and temperature changes and their magnitudes; the effect of global warming on fire severity and behavior; the current lightning distribution and relationship to fire and the response of this to global warming; socio-economic needs and constraints for management of wilderness areas; carbon dioxide enrichment effects on forest growth and water use efficiency; carbon benefits associated with afforestation and other carbon sequestering programs; impacts of forest practices on the carbon cycle; and the definition of biological diversity on the Great Plains. Recommended research initiatives include improving climate projections, targetted biological process research, monitoring for change and adaptive management, and development of decision support systems

Crossbreeding locally adapted hair sheep to improve productivity and meat quality

Directory of Open Access Journals (Sweden)

Juliano Issakowicz

Full Text Available ABSTRACT: The use of lambs from crossing of local with specialized sheep breeds for meat production may lead to higher meat deposition and a smaller fat amount in the carcass, with a more adequate nutritional profile for human consumption. This study investigated the performance, carcass and meat characteristics of lambs from the Morada Nova and Santa Inês locally adapted hair breeds and crosses between Dorper × Morada Nova and Dorper × Santa Inês slaughtered at approximately 35 kg. Morada Nova lambs showed lower (p < 0.05 performance compared to the other genetic groups resulting in a higher age at slaughter (p < 0.05. Crossbred Dorper × Santa Inês and Dorper × Morada Nova lambs showed better characteristics for meat production with better (p < 0.05 conformation as well as leg and carcass compacteness index. Dorper × Santa Inês have a fatty acid profile that is more suitable for human consumption than Dorper × Morada Nova lambs do (p < 0.05; however, both had lower (p < 0.05 intramuscular lipid content (as measured by ether extract levels from Longíssimus lumborum compared with purebred lambs. Therefore, when the objective is to obtain lean meat, with improved nutritional profile to reduce risks of cardiovascular disease, the use of breeds and crosses that reduce animal slaughter age, such as the ½ Dorper × ½ Santa Inês crossbred, is an interesting alternative.

An improved cooperative adaptive cruise control (CACC) algorithm considering invalid communication

Science.gov (United States)

Wang, Pangwei; Wang, Yunpeng; Yu, Guizhen; Tang, Tieqiao

2014-05-01

For the Cooperative Adaptive Cruise Control (CACC) Algorithm, existing research studies mainly focus on how inter-vehicle communication can be used to develop CACC controller, the influence of the communication delays and lags of the actuators to the string stability. However, whether the string stability can be guaranteed when inter-vehicle communication is invalid partially has hardly been considered. This paper presents an improved CACC algorithm based on the sliding mode control theory and analyses the range of CACC controller parameters to maintain string stability. A dynamic model of vehicle spacing deviation in a platoon is then established, and the string stability conditions under improved CACC are analyzed. Unlike the traditional CACC algorithms, the proposed algorithm can ensure the functionality of the CACC system even if inter-vehicle communication is partially invalid. Finally, this paper establishes a platoon of five vehicles to simulate the improved CACC algorithm in MATLAB/Simulink, and the simulation results demonstrate that the improved CACC algorithm can maintain the string stability of a CACC platoon through adjusting the controller parameters and enlarging the spacing to prevent accidents. With guaranteed string stability, the proposed CACC algorithm can prevent oscillation of vehicle spacing and reduce chain collision accidents under real-world circumstances. This research proposes an improved CACC algorithm, which can guarantee the string stability when inter-vehicle communication is invalid.

Adaptive OFDM Radar Waveform Design for Improved Micro-Doppler Estimation

Energy Technology Data Exchange (ETDEWEB)

Sen, Satyabrata [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Center for Engineering Science Advanced Research, Computer Science and Mathematics Division

2014-07-01

Here we analyze the performance of a wideband orthogonal frequency division multiplexing (OFDM) signal in estimating the micro-Doppler frequency of a rotating target having multiple scattering centers. The use of a frequency-diverse OFDM signal enables us to independently analyze the micro-Doppler characteristics with respect to a set of orthogonal subcarrier frequencies. We characterize the accuracy of micro-Doppler frequency estimation by computing the Cramer-Rao bound (CRB) on the angular-velocity estimate of the target. Additionally, to improve the accuracy of the estimation procedure, we formulate and solve an optimization problem by minimizing the CRB on the angular-velocity estimate with respect to the OFDM spectral coefficients. We present several numerical examples to demonstrate the CRB variations with respect to the signal-to-noise ratios, number of temporal samples, and number of OFDM subcarriers. We also analysed numerically the improvement in estimation accuracy due to the adaptive waveform design. A grid-based maximum likelihood estimation technique is applied to evaluate the corresponding mean-squared error performance.

Utilization of a technical review group during a BWR owners group technical specification improvement study

International Nuclear Information System (INIS)

Hansell, H.F.; Moyer, D.P.

1986-01-01

A BWR Owners' Group Technical Specification Improvement (TSI) Committee was formed in late 1983. A primary goal of this Committee was to encourage the development of a probabilistic methodology for technical specification improvements which could be readily applied by utilities. The TSI Committee elected to hire a Contractor to develop and demonstrate a method. After the Contractor was selected and has started work, the committee decided to establish a Technical Review Group (TRG) to efficiently and effectively review the Contractor's analyses. The TRG met frequently with the Contractor as the analyses were being performed. These meetings were held at the Contractor's facility in order to allow direct contact between reviewers and individuals performing the work. The TRG was also involved with all major interactions with the NRC. The significance and merit of using a peer review group in this manner is the theme of this paper. In order to present a discussion of the significance and merit of the TRG, the activities are described. The summary of the analytical approach is provided to more full understand the TRG activities

Image denoising via adaptive eigenvectors of graph Laplacian

Science.gov (United States)

Chen, Ying; Tang, Yibin; Xu, Ning; Zhou, Lin; Zhao, Li

2016-07-01

An image denoising method via adaptive eigenvectors of graph Laplacian (EGL) is proposed. Unlike the trivial parameter setting of the used eigenvectors in the traditional EGL method, in our method, the eigenvectors are adaptively selected in the whole denoising procedure. In detail, a rough image is first built with the eigenvectors from the noisy image, where the eigenvectors are selected by using the deviation estimation of the clean image. Subsequently, a guided image is effectively restored with a weighted average of the noisy and rough images. In this operation, the average coefficient is adaptively obtained to set the deviation of the guided image to approximately that of the clean image. Finally, the denoised image is achieved by a group-sparse model with the pattern from the guided image, where the eigenvectors are chosen in the error control of the noise deviation. Moreover, a modified group orthogonal matching pursuit algorithm is developed to efficiently solve the above group sparse model. The experiments show that our method not only improves the practicality of the EGL methods with the dependence reduction of the parameter setting, but also can outperform some well-developed denoising methods, especially for noise with large deviations.

FOG Random Drift Signal Denoising Based on the Improved AR Model and Modified Sage-Husa Adaptive Kalman Filter.

Science.gov (United States)

Sun, Jin; Xu, Xiaosu; Liu, Yiting; Zhang, Tao; Li, Yao

2016-07-12

In order to reduce the influence of fiber optic gyroscope (FOG) random drift error on inertial navigation systems, an improved auto regressive (AR) model is put forward in this paper. First, based on real-time observations at each restart of the gyroscope, the model of FOG random drift can be established online. In the improved AR model, the FOG measured signal is employed instead of the zero mean signals. Then, the modified Sage-Husa adaptive Kalman filter (SHAKF) is introduced, which can directly carry out real-time filtering on the FOG signals. Finally, static and dynamic experiments are done to verify the effectiveness. The filtering results are analyzed with Allan variance. The analysis results show that the improved AR model has high fitting accuracy and strong adaptability, and the minimum fitting accuracy of single noise is 93.2%. Based on the improved AR(3) model, the denoising method of SHAKF is more effective than traditional methods, and its effect is better than 30%. The random drift error of FOG is reduced effectively, and the precision of the FOG is improved.

Diabetes Support Groups Improve Patient’s Compliance and Control Blood Glucose Levels

Directory of Open Access Journals (Sweden)

Zamrotul Izzah

2013-09-01

Full Text Available Providing information is not enough to improve diabetic patient’s compliance and achieve goals of therapy. Patient’s good awareness as well as emotional and social supports from family and community may play an important role to improve their compliance and clinical outcomes. Therefore, diabetes support groups were developed and each support group consisted of two pharmacists, two nurses, diabetic patients and their family members. A total of 70 type 2 diabetic patient’s were enrolled and randomized into support group 1 and support group 2. Patients in the group 1 received information leaflets only, while patient in the group 2 received pharmacist counselling and information leaflets at each meeting. Patient’s awareness of diabetes and compliance with medications were assessed by a short questionnaire at baseline and final follow-up. Blood glucose and cholesterol levels were also evaluated in both groups. At the end of study, the overall patient’s awareness and compliance improved by 61.5%. The random and fasting blood glucose levels decreased over than 30% in the group 2 and around 14% in the group 1. This study reveals that collaboration between health care professionals and community in the diabetes support group might help diabetic patients to increase their knowledge and compliance with the diabetes therapy as well as glycaemic control.

Farmers’ Perceptions about Adaptation Practices to Climate Change and Barriers to Adaptation: A Micro-Level Study in Ghana

Directory of Open Access Journals (Sweden)

Francis Ndamani

2015-08-01

Full Text Available This study analyzed the farmer-perceived importance of adaptation practices to climate change and examined the barriers that impede adaptation. Perceptions about causes and effects of long-term changes in climatic variables were also investigated. A total of 100 farmer-households were randomly selected from four communities in the Lawra district of Ghana. Data was collected using semi-structured questionnaires and focus group discussions (FGDs. The results showed that 87% of respondents perceived a decrease in rainfall amount, while 82% perceived an increase in temperature over the past 10 years. The study revealed that adaptation was largely in response to dry spells and droughts (93.2% rather than floods. About 67% of respondents have adjusted their farming activities in response to climate change. Empirical results of the weighted average index analysis showed that farmers ranked improved crop varieties and irrigation as the most important adaptation measures. It also revealed that farmers lacked the capacity to implement the highly ranked adaptation practices. The problem confrontation index analysis showed that unpredictable weather, high cost of farm inputs, limited access to weather information, and lack of water resources were the most critical barriers to adaptation. This analysis of adaptation practices and constraints at farmer level will help facilitate government policy formulation and implementation.

Improving tsunami resiliency: California's Tsunami Policy Working Group

Science.gov (United States)

Real, Charles R.; Johnson, Laurie; Jones, Lucile M.; Ross, Stephanie L.; Kontar, Y.A.; Santiago-Fandiño, V.; Takahashi, T.

2014-01-01

California has established a Tsunami Policy Working Group to facilitate development of policy recommendations for tsunami hazard mitigation. The Tsunami Policy Working Group brings together government and industry specialists from diverse fields including tsunami, seismic, and flood hazards, local and regional planning, structural engineering, natural hazard policy, and coastal engineering. The group is acting on findings from two parallel efforts: The USGS SAFRR Tsunami Scenario project, a comprehensive impact analysis of a large credible tsunami originating from an M 9.1 earthquake in the Aleutian Islands Subduction Zone striking California’s coastline, and the State’s Tsunami Preparedness and Hazard Mitigation Program. The unique dual-track approach provides a comprehensive assessment of vulnerability and risk within which the policy group can identify gaps and issues in current tsunami hazard mitigation and risk reduction, make recommendations that will help eliminate these impediments, and provide advice that will assist development and implementation of effective tsunami hazard risk communication products to improve community resiliency.

Improved liver R2* mapping by pixel-wise curve fitting with adaptive neighborhood regularization.

Science.gov (United States)

Wang, Changqing; Zhang, Xinyuan; Liu, Xiaoyun; He, Taigang; Chen, Wufan; Feng, Qianjin; Feng, Yanqiu

2018-08-01

To improve liver R2* mapping by incorporating adaptive neighborhood regularization into pixel-wise curve fitting. Magnetic resonance imaging R2* mapping remains challenging because of the serial images with low signal-to-noise ratio. In this study, we proposed to exploit the neighboring pixels as regularization terms and adaptively determine the regularization parameters according to the interpixel signal similarity. The proposed algorithm, called the pixel-wise curve fitting with adaptive neighborhood regularization (PCANR), was compared with the conventional nonlinear least squares (NLS) and nonlocal means filter-based NLS algorithms on simulated, phantom, and in vivo data. Visually, the PCANR algorithm generates R2* maps with significantly reduced noise and well-preserved tiny structures. Quantitatively, the PCANR algorithm produces R2* maps with lower root mean square errors at varying R2* values and signal-to-noise-ratio levels compared with the NLS and nonlocal means filter-based NLS algorithms. For the high R2* values under low signal-to-noise-ratio levels, the PCANR algorithm outperforms the NLS and nonlocal means filter-based NLS algorithms in the accuracy and precision, in terms of mean and standard deviation of R2* measurements in selected region of interests, respectively. The PCANR algorithm can reduce the effect of noise on liver R2* mapping, and the improved measurement precision will benefit the assessment of hepatic iron in clinical practice. Magn Reson Med 80:792-801, 2018. © 2018 International Society for Magnetic Resonance in Medicine. © 2018 International Society for Magnetic Resonance in Medicine.

Smallholder farmers’ attitudes and determinants of adaptation to climate risks in East Africa

Directory of Open Access Journals (Sweden)

Kelvin M. Shikuku

2017-01-01

Full Text Available Adapting to climate risks is central to the goal of increasing food security and enhancing resilience of farming systems in East Africa. We examined farmers’ attitudes and assessed determinants of adaptation using data from a random sample of 500 households in Borana, Ethiopia; Nyando, Kenya; Hoima, Uganda; and Lushoto, Tanzania. Adaptation was measured using a livelihood-based index that assigned weights to different individual strategies based on their marginal contributions to a household’s livelihood. Results showed that farmers’ attitudes across the four sites strongly favored introduction of new crops, changes in crop varieties, and changes in planting times. Farmers disfavored soil, land, and water management practices. At lower levels of adaptation (25% quantile, adaptation index correlated positively with membership to farmers’ groups, household size, sex of the household head, and number of months of food shortage. Farmer group membership enhanced adaptation at intermediate (50% quantile level whereas access to credit increased adaptation at high (75% quantile level. Food insecurity, however, correlated negatively with the likelihood to choose individual adaptation strategies suggesting that although households adapted to improve food security status of their households, hunger was a barrier to adaptation. Our findings suggest that providing climate information to inform timely planting, promoting crop diversification, and encouraging adoption of adapted varieties of crops might be successful to enhancing resilience of farming systems in the short-term. In the long-term, increased investment in reducing hunger, encouraging groups formation, and easing liquidity constraints will be required to promote adaptation through implementation of soil, water, and land management strategies.

Improving Student Group Marketing Presentations: A Modified Pecha Kucha Approach

Science.gov (United States)

Oliver, Jason; Kowalczyk, Christine

2013-01-01

Student presentations can often seem like a formality rather than a lesson in representing oneself or group in a professional manner. To improve the quality of group presentations, the authors modified the popular presentation style of Pecha Kucha (20 slides, 20 seconds per slide) for marketing courses to help students prepare and deliver…

Usability of an adaptive computer assistant that improves self-care and health literacy of older adults

NARCIS (Netherlands)

Blanson Henkemans, O.A.; Rogers, W.A.; Fisk, A.D.; Neerincx, M.A.; Lindenberg, J.; Mast, C.A.P.G. van der

2008-01-01

Objectives: We developed an adaptive computer assistant for the supervision of diabetics' self-care, to support limiting illness and need for acute treatment, and improve health literacy. This assistant monitors self-care activities logged in the patient's electronic diary. Accordingly, it provides

Adjustment of Adaptive Gain with Bounded Linear Stability Analysis to Improve Time-Delay Margin for Metrics-Driven Adaptive Control

Science.gov (United States)

Bakhtiari-Nejad, Maryam; Nguyen, Nhan T.; Krishnakumar, Kalmanje Srinvas

2009-01-01

This paper presents the application of Bounded Linear Stability Analysis (BLSA) method for metrics driven adaptive control. The bounded linear stability analysis method is used for analyzing stability of adaptive control models, without linearizing the adaptive laws. Metrics-driven adaptive control introduces a notion that adaptation should be driven by some stability metrics to achieve robustness. By the application of bounded linear stability analysis method the adaptive gain is adjusted during the adaptation in order to meet certain phase margin requirements. Analysis of metrics-driven adaptive control is evaluated for a linear damaged twin-engine generic transport model of aircraft. The analysis shows that the system with the adjusted adaptive gain becomes more robust to unmodeled dynamics or time delay.

Effect of prism adaptation on left dichotic listening deficit in neglect patients: glasses to hear better?

Science.gov (United States)

Jacquin-Courtois, S; Rode, G; Pavani, F; O'Shea, J; Giard, M H; Boisson, D; Rossetti, Y

2010-03-01

Unilateral neglect is a disabling syndrome frequently observed following right hemisphere brain damage. Symptoms range from visuo-motor impairments through to deficient visuo-spatial imagery, but impairment can also affect the auditory modality. A short period of adaptation to a rightward prismatic shift of the visual field is known to improve a wide range of hemispatial neglect symptoms, including visuo-manual tasks, mental imagery, postural imbalance, visuo-verbal measures and number bisection. The aim of the present study was to assess whether the beneficial effects of prism adaptation may generalize to auditory manifestations of neglect. Auditory extinction, whose clinical manifestations are independent of the sensory modalities engaged in visuo-manual adaptation, was examined in neglect patients before and after prism adaptation. Two separate groups of neglect patients (all of whom exhibited left auditory extinction) underwent prism adaptation: one group (n = 6) received a classical prism treatment ('Prism' group), the other group (n = 6) was submitted to the same procedure, but wore neutral glasses creating no optical shift (placebo 'Control' group). Auditory extinction was assessed by means of a dichotic listening task performed three times: prior to prism exposure (pre-test), upon prism removal (0 h post-test) and 2 h later (2 h post-test). The total number of correct responses, the lateralization index (detection asymmetry between the two ears) and the number of left-right fusion errors were analysed. Our results demonstrate that prism adaptation can improve left auditory extinction, thus revealing transfer of benefit to a sensory modality that is orthogonal to the visual, proprioceptive and motor modalities directly implicated in the visuo-motor adaptive process. The observed benefit was specific to the detection asymmetry between the two ears and did not affect the total number of responses. This indicates a specific effect of prism adaptation on

Mechanical Adaptability of the MMP-Responsive Film Improves the Functionality of Endothelial Cell Monolayer.

Science.gov (United States)

Hu, Mi; Chang, Hao; Zhang, He; Wang, Jing; Lei, Wen-Xi; Li, Bo-Chao; Ren, Ke-Feng; Ji, Jian

2017-07-01

Extracellular matrix and cells are inherent in coordinating and adapting to each other during all physiological and pathological processes. Synthetic materials, however, show rarely reciprocal and spatiotemporal responses to cells, and lacking self-adapting properties as well. Here, a mechanical adaptability based on the matrix metalloproteinase (MMPs) sensitive polyelectrolyte film is reported. Poly-lysine (PLL) and methacrylated hyaluronic acid (HA-MA) nanolayers are employed to build the thin film through the layer-by-layer assembly, and it is further crosslinked using MMP sensitive peptides, which endows the films with changeable mechanical properties in response to MMPs. It is demonstrated that stiffness of the (PLL/HA-MA) films increases with the crosslinking, and then decreases in response to a treatment of enzyme. Consequently, the crosslinked (PLL/HA-MA) films reveal effective growth of endothelial cells (ECs), leading to fast formation of EC monolayer. Importantly, significantly improved endothelial function of the EC monolayer, which is characterized by integrity, biomolecules release, expression of function related gene, and antithrombotic properties, is achieved along with the decrosslinking of the film because of EC-secreted MMPs. These results suggest that mechanical adaptability of substrate in Young's modulus plays a significant role in endothelial progression, which shows great application potential in tissue engineering, regenerative medicine, and organ-on-a-chip. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Introgression of physiological traits for a comprehensive improvement of drought adaptation in crop plants

Science.gov (United States)

Sreeman, Sheshshayee M.; Vijayaraghavareddy, Preethi; Sreevathsa, Rohini; Rajendrareddy, Sowmya; Arakesh, Smitharani; Bharti, Pooja; Dharmappa, Prathibha; Soolanayakanahally, Raju

2018-04-01

Burgeoning population growth, industrial demand and the predicted global climate change resulting in erratic monsoon rains are expected to severely limit fresh water availability for agriculture both in irrigated and rainfed ecosystems. In order to remain food and nutrient secure, agriculture research needs to focus on devising strategies to save water in irrigated conditions and to develop superior cultivars with improved water productivity to sustain yield under rainfed conditions. Recent opinions accruing in the scientific literature strongly favour the adoption of a “trait based” approach for increasing water productivity especially the traits associated with maintenance of positive tissue turgor and maintenance of increased carbon assimilation as the most relevant traits to improve crop growth rates under water limiting conditions and to enhance water productivity. The advent of several water saving agronomic practices notwithstanding, a genetic enhancement strategy of introgressing distinct physiological, morphological and cellular mechanisms on to a single elite genetic background is essential for achieving a comprehensive improvement in drought adaptation in crop plants. The significant progress made in genomics, though would provide the necessary impetus, a clear understanding of the “traits” to be introgressed is the most essential need of the hour. Water uptake by a better root architecture, water conservation by preventing unproductive transpiration is crucial for maintaining positive tissue water relations. Improved carbon assimilation associated with carboxylation capacity and mesophyll conductance is equally important in sustaining crop growth rates under water limited conditions. Besides these major traits, we summarized the available information in literature on classifying various drought adaptive traits. We provide evidences that water-use efficiency when introgressed with moderately higher transpiration, would significantly enhance

Contribution of the working group 2 to the fourth evaluation report of the inter government expert group on the climatic change. Evaluation 2007 of the climatic changes: impacts, adaptation and vulnerability; Contribution du Groupe de travail 2 au quatrieme rapport d'evaluation du Groupe d'expert intergouvernemental sur l'evolution du climat. Bilan 2007 des changements climatiques: impacts, adaptation et vulnerabilite

Energy Technology Data Exchange (ETDEWEB)

NONE

2007-07-01

This document exposes the results of the fourth evaluation report of the working group II of the inter government experts group on the climatic change. This evaluation presents the today scientific understanding of the climatic change impacts on the humans and their adaptation ability and vulnerability. It is based on the GIEC evaluations and new knowledge added since the third evaluation report. (A.L.B.)

Improved Membership Probability for Moving Groups: Bayesian and Machine Learning Approaches

Science.gov (United States)

Lee, Jinhee; Song, Inseok

2018-01-01

Gravitationally unbound loose stellar associations (i.e., young nearby moving groups: moving groups hereafter) have been intensively explored because they are important in planet and disk formation studies, exoplanet imaging, and age calibration. Among the many efforts devoted to the search for moving group members, a Bayesian approach (e.g.,using the code BANYAN) has become popular recently because of the many advantages it offers. However, the resultant membership probability needs to be carefully adopted because of its sensitive dependence on input models. In this study, we have developed an improved membership calculation tool focusing on the beta-Pic moving group. We made three improvements for building models used in BANYAN II: (1) updating a list of accepted members by re-assessing memberships in terms of position, motion, and age, (2) investigating member distribution functions in XYZ, and (3) exploring field star distribution functions in XYZUVW. Our improved tool can change membership probability up to 70%. Membership probability is critical and must be better defined. For example, our code identifies only one third of the candidate members in SIMBAD that are believed to be kinematically associated with beta-Pic moving group.Additionally, we performed cluster analysis of young nearby stars using an unsupervised machine learning approach. As more moving groups and their members are identified, the complexity and ambiguity in moving group configuration has been increased. To clarify this issue, we analyzed ~4,000 X-ray bright young stellar candidates. Here, we present the preliminary results. By re-identifying moving groups with the least human intervention, we expect to understand the composition of the solar neighborhood. Moreover better defined moving group membership will help us understand star formation and evolution in relatively low density environments; especially for the low-mass stars which will be identified in the coming Gaia release.

Improving Stability and Convergence for Adaptive Radial Basis Function Neural Networks Algorithm. (On-Line Harmonics Estimation Application

Directory of Open Access Journals (Sweden)

Eyad K Almaita

2017-03-01

Keywords: Energy efficiency, Power quality, Radial basis function, neural networks, adaptive, harmonic. Article History: Received Dec 15, 2016; Received in revised form Feb 2nd 2017; Accepted 13rd 2017; Available online How to Cite This Article: Almaita, E.K and Shawawreh J.Al (2017 Improving Stability and Convergence for Adaptive Radial Basis Function Neural Networks Algorithm (On-Line Harmonics Estimation Application.  International Journal of Renewable Energy Develeopment, 6(1, 9-17. http://dx.doi.org/10.14710/ijred.6.1.9-17

Face adaptation does not improve performance on search or discrimination tasks.

Science.gov (United States)

Ng, Minna; Boynton, Geoffrey M; Fine, Ione

2008-01-04

The face adaptation effect, as described by M. A. Webster and O. H. MacLin (1999), is a robust perceptual shift in the appearance of faces after a brief adaptation period. For example, prolonged exposure to Asian faces causes a Eurasian face to appear distinctly Caucasian. This adaptation effect has been documented for general configural effects, as well as for the facial properties of gender, ethnicity, expression, and identity. We began by replicating the finding that adaptation to ethnicity, gender, and a combination of both features induces selective shifts in category appearance. We then investigated whether this adaptation has perceptual consequences beyond a shift in the perceived category boundary by measuring the effects of adaptation on RSVP, spatial search, and discrimination tasks. Adaptation had no discernable effect on performance for any of these tasks.

Improving self-help e-therapy for depression and anxiety among sexual minorities: an analysis of focus groups with lesbians and gay men.

Science.gov (United States)

Rozbroj, Tomas; Lyons, Anthony; Pitts, Marian; Mitchell, Anne; Christensen, Helen

2015-03-11

E-therapies for depression and anxiety rarely account for lesbian and gay users. This is despite lesbians and gay men being at heightened risk of mood disorders and likely to benefit from having access to tailored self-help resources. We sought to determine how e-therapies for depression and anxiety could be improved to address the therapeutic needs of lesbians and gay men. We conducted eight focus groups with lesbians and gay men aged 18 years and older. Focus groups were presented with key modules from the popular e-therapy "MoodGYM". They were asked to evaluate the inclusiveness and relevance of these modules for lesbians and gay men and to think about ways that e-therapies in general could be modified. The focus groups were analyzed qualitatively using a thematic analysis approach to identify major themes. The focus groups indicated that some but not all aspects of MoodGYM were suitable, and suggested ways of improving e-therapies for lesbian and gay users. Suggestions included avoiding language or examples that assumed or implied users were heterosexual, improving inclusiveness by representing non-heterosexual relationships, providing referrals to specialized support services and addressing stigma-related stress, such as "coming out" and experiences of discrimination and harassment. Focus group participants suggested that dedicated e-therapies for lesbians and gay men should be developed or general e-therapies be made more inclusive by using adaptive logic to deliver content appropriate for a user's sexual identity. Findings from this study offer in-depth guidance for developing e-therapies that more effectively address mental health problems among lesbians and gay men.

Adaptation and Mitigation in Agriculture: A Review of Synergies and Tradeoffs and How EO Could Improve Understanding and Outcomes

Science.gov (United States)

Barbieri, L.; Wollenberg, E.

2017-12-01

We present a review of the published literature on agricultural adaptation and mitigation, and report on the current evidence as to whether changes in agricultural practices meant to achieve mitigation or adaptation goals can be dual purpose: simultaneously reducing greenhouse gas (GHG) emissions and helping to facilitate adaptation. We characterize the spatio-temporal and system trends in how adaptation and mitigation outcomes are being achieved, and report on the current technical and knowledge gaps that exist and where Earth observations (EO) could improve our understanding. Agriculture contributes 12% GHG emissions globally, roughly one third from the developing world. Nearly 70% of the technical mitigation potential in agriculture sector occurs in these countries, however, while the mitigation potential is high, agricultural productivity also relies heavily on climate factors. With climate change, agricultural systems already, and will increasingly, need to adapt to extreme events and variability in temperatures and precipitation. This underscores the importance of implementing agricultural practices that can both reduce GHG emissions and help facilitate adaptation. Until recently, these objectives have been treated separately, but policy makers are increasingly calling for a joint approach to improve synergies, and avoid tradeoffs. There remain many complications in considering a joint approach: lack of clear conceptual frameworks, knowledge gaps in scientific understanding and evidence associated with adaptation and mitigation outcomes, and the abilities and motivations of stakeholders to consider both objectives. We review 56 peer-reviewed publications and present results from an in-depth analysis to answer two major concerns: to what extent is evidence provided for claims of synergistic outcomes, and what uncertainty surrounds this evidence. Our results show that only 21% of studies empirically measured both mitigation and adaptation outcomes, and claims

Adaptations in athletic performance after ballistic power versus strength training.

Science.gov (United States)

Cormie, Prue; McGuigan, Michael R; Newton, Robert U

2010-08-01

To determine whether the magnitude of improvement in athletic performance and the mechanisms driving these adaptations differ in relatively weak individuals exposed to either ballistic power training or heavy strength training. Relatively weak men (n = 24) who could perform the back squat with proficient technique were randomized into three groups: strength training (n = 8; ST), power training (n = 8; PT), or control (n = 8). Training involved three sessions per week for 10 wk in which subjects performed back squats with 75%-90% of one-repetition maximum (1RM; ST) or maximal-effort jump squats with 0%-30% 1RM (PT). Jump and sprint performances were assessed as well as measures of the force-velocity relationship, jumping mechanics, muscle architecture, and neural drive. Both experimental groups showed significant (P training with no significant between-group differences evident in either jump (peak power: ST = 17.7% +/- 9.3%, PT = 17.6% +/- 4.5%) or sprint performance (40-m sprint: ST = 2.2% +/- 1.9%, PT = 3.6% +/- 2.3%). ST also displayed a significant increase in maximal strength that was significantly greater than the PT group (squat 1RM: ST = 31.2% +/- 11.3%, PT = 4.5% +/- 7.1%). The mechanisms driving these improvements included significant (P force-velocity relationship, jump mechanics, muscle architecture, and neural activation that showed a degree of specificity to the different training stimuli. Improvements in athletic performance were similar in relatively weak individuals exposed to either ballistic power training or heavy strength training for 10 wk. These performance improvements were mediated through neuromuscular adaptations specific to the training stimulus. The ability of strength training to render similar short-term improvements in athletic performance as ballistic power training, coupled with the potential long-term benefits of improved maximal strength, makes strength training a more effective training modality for relatively weak individuals.

A DBT Skills Training Group for Family Caregivers of Persons with Dementia

Science.gov (United States)

Drossel, Claudia; Fisher, Jane E.; Mercer, Victoria

2011-01-01

A Dialectical Behavior Therapy Skills training manual (DBT Skills) was adapted for use with caregivers of individuals with dementia. Implementation occurred in a community clinic with a heterogeneous caregiver group at risk for elder abuse. Sixteen caregivers completed the 9-week group. The results point to improved psychosocial adjustment,…

An improved self-adaptive ant colony algorithm based on genetic strategy for the traveling salesman problem

Science.gov (United States)

Wang, Pan; Zhang, Yi; Yan, Dong

2018-05-01

Ant Colony Algorithm (ACA) is a powerful and effective algorithm for solving the combination optimization problem. Moreover, it was successfully used in traveling salesman problem (TSP). But it is easy to prematurely converge to the non-global optimal solution and the calculation time is too long. To overcome those shortcomings, a new method is presented-An improved self-adaptive Ant Colony Algorithm based on genetic strategy. The proposed method adopts adaptive strategy to adjust the parameters dynamically. And new crossover operation and inversion operation in genetic strategy was used in this method. We also make an experiment using the well-known data in TSPLIB. The experiment results show that the performance of the proposed method is better than the basic Ant Colony Algorithm and some improved ACA in both the result and the convergence time. The numerical results obtained also show that the proposed optimization method can achieve results close to the theoretical best known solutions at present.

Effect of Metformin on Potassium-adapted and Non- adapted ...

African Journals Online (AJOL)

determined. Results: The blood glucose of the potassium-adapted diabetic group was not significantly reduced on treatment ... whom dietary carbohydrate restriction has not controlled .... significantly different from the metformin-treated group.

LEACH-A: An Adaptive Method for Improving LEACH Protocol

Directory of Open Access Journals (Sweden)

Jianli ZHAO

2014-01-01

Full Text Available Energy has become one of the most important constraints on wireless sensor networks. Hence, many researchers in this field focus on how to design a routing protocol to prolong the lifetime of the network. The classical hierarchical protocols such as LEACH and LEACH-C have better performance in saving the energy consumption. However, the choosing strategy only based on the largest residue energy or shortest distance will still consume more energy. In this paper an adaptive routing protocol named “LEACH-A” which has an energy threshold E0 is proposed. If there are cluster nodes whose residual energy are greater than E0, the node of largest residual energy is selected to communicated with the base station; When all the cluster nodes energy are less than E0, the node nearest to the base station is select to communication with the base station. Simulations show that our improved protocol LEACH-A performs better than the LEACH and the LEACH-C.

An Efficient Adaptive Window Size Selection Method for Improving Spectrogram Visualization

Directory of Open Access Journals (Sweden)

Shibli Nisar

2016-01-01

Full Text Available Short Time Fourier Transform (STFT is an important technique for the time-frequency analysis of a time varying signal. The basic approach behind it involves the application of a Fast Fourier Transform (FFT to a signal multiplied with an appropriate window function with fixed resolution. The selection of an appropriate window size is difficult when no background information about the input signal is known. In this paper, a novel empirical model is proposed that adaptively adjusts the window size for a narrow band-signal using spectrum sensing technique. For wide-band signals, where a fixed time-frequency resolution is undesirable, the approach adapts the constant Q transform (CQT. Unlike the STFT, the CQT provides a varying time-frequency resolution. This results in a high spectral resolution at low frequencies and high temporal resolution at high frequencies. In this paper, a simple but effective switching framework is provided between both STFT and CQT. The proposed method also allows for the dynamic construction of a filter bank according to user-defined parameters. This helps in reducing redundant entries in the filter bank. Results obtained from the proposed method not only improve the spectrogram visualization but also reduce the computation cost and achieves 87.71% of the appropriate window length selection.

Adapting to Climate Change through Improved Watershed ...

International Development Research Centre (IDRC) Digital Library (Canada)

... the Atlas Mountains, flowing into the Haouz Plain, and onward to the Atlantic Ocean. ... Other problems, such as ecosystem degradation and climate change ... The objective is to increase people's capacity to adapt to environmental changes.

Adaptive optics improves multiphoton super-resolution imaging

Science.gov (United States)

Zheng, Wei; Wu, Yicong; Winter, Peter; Shroff, Hari

2018-02-01

Three dimensional (3D) fluorescence microscopy has been essential for biological studies. It allows interrogation of structure and function at spatial scales spanning the macromolecular, cellular, and tissue levels. Critical factors to consider in 3D microscopy include spatial resolution, signal-to-noise (SNR), signal-to-background (SBR), and temporal resolution. Maintaining high quality imaging becomes progressively more difficult at increasing depth (where optical aberrations, induced by inhomogeneities of refractive index in the sample, degrade resolution and SNR), and in thick or densely labeled samples (where out-of-focus background can swamp the valuable, in-focus-signal from each plane). In this report, we introduce our new instrumentation to address these problems. A multiphoton structured illumination microscope was simply modified to integrate an adpative optics system for optical aberrations correction. Firstly, the optical aberrations are determined using direct wavefront sensing with a nonlinear guide star and subsequently corrected using a deformable mirror, restoring super-resolution information. We demonstrate the flexibility of our adaptive optics approach on a variety of semi-transparent samples, including bead phantoms, cultured cells in collagen gels and biological tissues. The performance of our super-resolution microscope is improved in all of these samples, as peak intensity is increased (up to 40-fold) and resolution recovered (up to 176+/-10 nm laterally and 729+/-39 nm axially) at depths up to 250 μm from the coverslip surface.

San Francisco Bay Area CHARG: Coastal Hazards Adaptation Resiliency Group, a Multi-Jurisdictional Collaboration to Develop Innovative Regional Solutions to Address Sea Level Rise and Improve Shoreline Resiliency

Science.gov (United States)

Saleh, R.

2017-12-01

For a challenge as complex and far-reaching as sea level rise and improving shoreline resiliency, strong partnerships between scientists, elected officials, decision-makers, and the general public are the only way that effective solutions can be developed. The San Francisco Bay, like many similar sheltered water coastal environments (for example, Galveston Bay, Tampa Bay, or Venetian Lagoon) offers a unique opportunity for multiple jurisdictions to collaborate to address sea level rise on a regional basis. For the San Francisco Bay, significant scientific progress has been made in building a real-time simulation model for riverine and Bay hydrodynamics. Other major scientific initiatives, such as morphology mapping, shoreline mapping, and a sediment budget are also underway. In 2014, leaders from the Bay Area science, engineering, planning, policy, elected, and regulatory communities representing jurisdictions around the Bay joined together to address sea level rise. The group includes people from local, regional, state, and federal agencies and organizations. Together, CHARG (Coastal Hazards Adaptation Resiliency Group) established a collective vision and approach to implementing regional solutions. Decision-makers within many Bay Area jurisdictions are motivated to show demonstrable progress toward addressing sea level rise. However, the cost to implement shoreline resiliency solutions will be very large, and must be founded on strong science.CHARG is now tackling several key technical challenges. One is to develop science-based guidelines for local jurisdictions to determine when a project is local, sub-regional, or regional. Concurrently, several organizations are planning or implementing pilot shoreline resiliency projects and other programs. Many creative regional solutions are possible in a sheltered water environment that simply would not be feasible along the open coast. By definition, these solutions cannot be undertaken by one entity alone. Large

Is cognitive adaptation training (CAT) compensatory, restorative, or both?

Science.gov (United States)

Fredrick, Megan M; Mintz, Jim; Roberts, David L; Maples, Natalie J; Sarkar, Sonali; Li, Xueying; Velligan, Dawn I

2015-08-01

Cognitive adaptation training (CAT) is a psychosocial treatment incorporating environmental supports including signs, checklists to bypass the cognitive deficits of schizophrenia. Our objective was to examine the association between CAT, functional outcomes, and cognitive test performance (cognition). The two research questions were as follows: 1) Does cognition mediate the effect of CAT intervention on functional outcome? 2) Does CAT impact cognitive test performance? A total of 120 participants with schizophrenia were randomized to one of three treatments: 1) CAT (weekly for 9months; monthly thereafter), 2) generic environmental supports (given to participants on clinic visits to promote adaptive behavior), or 3) treatment as usual (TAU). Assessments of cognition and functional outcome were conducted at baseline, 9 and 24months. Mediation analyses and mixed effects regression were conducted. Mediation analyses revealed that during the initial 9months, the direct path from treatment group to functional outcome on the primary measure was positive and highly significant. CAT significantly improved functional outcome compared to the other treatments. However, paths involving cognition were negligible. There was no evidence that cognition mediated improvement in functional outcomes. At 24months, cognition improved more in CAT compared to other treatment groups. The test for cognition mediating improvement in functional outcomes was not significant at this time point. However, improvement in functional outcome led to better performance on cognitive testing. We concluded that improvement in cognition is not a necessary condition for improvement in functional outcome and that greater engagement in functional behavior has a positive impact on cognition. Copyright © 2015 Elsevier B.V. All rights reserved.

Improved clinical tolerance to chronic lactose ingestion in subjects with lactose intolerance: a placebo effect?

Science.gov (United States)

Briet, F; Pochart, P; Marteau, P; Flourie, B; Arrigoni, E; Rambaud, J

1997-01-01

Background—Uncontrolled studies of lactose intolerant subjects have shown that symptom severity decreases after chronic lactose consumption. Adaptation of the colonic flora might explain this improvement. 
Aims—To compare the effects of regular administration of either lactose or sucrose on clinical tolerance and bacterial adaptation to lactose. 
Methods—Forty six lactose intolerant subjects underwent two 50 g lactose challenges on days 1 and 15. Between these days they were given 34 g of lactose or sucrose per day, in a double blind protocol. Stool samples were obtained on days 0 and 14, to measure faecal β-galactosidase and pH. Symptoms, breath H2 excretion, faecal weight and electrolytes, and orofaecal transit time were assessed. 
Results—Except for faecal weight, symptoms were significantly milder during the second challenge in both groups, and covariance analysis showed no statistical difference between them. In the lactose group, but not in the sucrose group, faecal β-galactosidase activity increased, pH dropped, and breath H2 excretion decreased. 
Conclusion—Bacterial adaptation occurred when lactose intolerant subjects ingested lactose for 13 days, and all symptoms except diarrhoea regressed. Clinical improvement was also observed in the control group which displayed no signs of metabolic adaptation. This suggests that improved clinical tolerance may be just a placebo effect. 

 Keywords: lactose; lactose intolerance; colonic adaptation; lactase deficiency PMID:9414969

Understanding climate change adaptation and adaptive capacity: synthesis report

Energy Technology Data Exchange (ETDEWEB)

Patino, L. [Policy Research Initiative, Government of Canada, Ottawa, ON (Canada)

2010-09-15

In 2007, the Natural Resources Canada (NRCan) Climate Change Impacts and Adaptation Division (CCIAD) offered its support to research projects that were involved in understanding and improving adaptation and adaptive capacity and contributed to climate change decision-making and policy development in Canada. 20 research projects were commissioned by the CCIAD. With the collaboration of NRCan, the principal findings raised by the commissioned projects were synthesized by the Policy Research Initiative (PRI). Common themes and main messages are introduced in this synthesis report, and policy and program aspects that promote adaptive capacity to climate change in Canada are identified. Common themes and important messages emerging from the research projects, as well as the processes and barriers to adaptation and adaptive capacity identified in the commissioned projects, were discussed during a workshop held in Ottawa in 2009. Five main themes and four common barriers to adaptation were found. 25 refs.

A structure-based approach to evaluation product adaptability in adaptable design

International Nuclear Information System (INIS)

Cheng, Qiang; Liu, Zhifeng; Cai, Ligang; Zhang, Guojun; Gu, Peihua

2011-01-01

Adaptable design, as a new design paradigm, involves creating designs and products that can be easily changed to satisfy different requirements. In this paper, two types of product adaptability are proposed as essential adaptability and behavioral adaptability, and through measuring which respectively a model for product adaptability evaluation is developed. The essential adaptability evaluation proceeds with analyzing the independencies of function requirements and function modules firstly based on axiomatic design, and measuring the adaptability of interfaces secondly with three indices. The behavioral adaptability reflected by the performance of adaptable requirements after adaptation is measured based on Kano model. At last, the effectiveness of the proposed method is demonstrated by an illustrative example of the motherboard of a personal computer. The results show that the method can evaluate and reveal the adaptability of a product in essence, and is of directive significance to improving design and innovative design

Dynamic online peer evaluations to improve group assignments in nursing e-learning environment.

Science.gov (United States)

Adwan, Jehad

2016-06-01

The purpose of this research was to evaluate the use of online peer evaluation forms for online group activities in improving group project outcomes. The investigator developed and used a web-based Google Forms® self and peer evaluation form of 2 group assignments' rubric for junior and senior nursing students. The form covered elements of the assignments including: research activity, analysis of the literature, writing of report, participation in making of presentation, overall contribution to the project, and participation in the weekly group discussions. Items were rated from 1 (did not contribute) to 5 (outstanding contribution) in addition to NA when one activity did not apply. The self and peer evaluation process was conducted twice: once after group assignment 1 and once after group assignment 2. The group assignments final products were done in the form of VoiceThread online presentations that were shared with the rest of the class reflecting the groups' work on a health informatics topic of interest. Data collected as the students completed self and peer evaluations for group assignments 1 and 2. Also, optional comments regarding member performance were collected to add contextual information in addition to ratings. Students received credit for completing the peer evaluations and the grade for the particular assignment was affected by their performance based on peer evaluations of their contributions. Students' peer evaluations showed in a color-coded spreadsheet which enabled the course faculty to view real time results of students' ratings after each assignment. The faculty provided timely and tailored feedback to groups or individuals as needed, using positive feedback and commending high performance while urging struggling individual students and groups to improve lower ratings in specific areas. Comparing evaluations of both assignments, there were statistically significant improvements among all students. The mean scores of the entire sample were

[A measure of team cohesion in sport. Spanish adaptation of Group Environment Questionnaire (GEQ)].

Science.gov (United States)

Iturbide, Luis María; Elosua, Paula; Yanes, Félix

2010-08-01

The aim of this work was to adapt the Group Environment Questionnaire (GEQ) to Spanish. Judgmental procedures were used to assess the linguistic and cultural equivalence of the versions. Psychometric procedures were used in the operational phase of the study. The normative sample comprised 924 sportsmen/sportswomen from 75 teams. The GEQ scale showed suitable indexes of internal consistency and a bidimensional structure based on two factors of the cohesion model, the Task component and the Social component. In addition, a positive relation between team-performance and the Task component of team cohesion was observed. Overall, the results supported the Spanish version of the GEQ.

Contribution of the working group 2 to the fourth evaluation report of the inter government expert group on the climatic change. Evaluation 2007 of the climatic changes: impacts, adaptation and vulnerability

International Nuclear Information System (INIS)

2007-01-01

This document exposes the results of the fourth evaluation report of the working group II of the inter government experts group on the climatic change. This evaluation presents the today scientific understanding of the climatic change impacts on the humans and their adaptation ability and vulnerability. It is based on the GIEC evaluations and new knowledge added since the third evaluation report. (A.L.B.)

Social-psychological specific of individual adaptation

OpenAIRE

Ovsyanik, Olga

2012-01-01

There is analyzing of specific of social-psychological adaptation person by model of adaptation. Structure model of adaptation of women of our age group, which was named “adaptation complex” was made by theoretic analyzes of problem of adaptation adult.

Adapting CBT for traumatized refugees and ethnic minority patients: examples from culturally adapted CBT (CA-CBT).

Science.gov (United States)

Hinton, Devon E; Rivera, Edwin I; Hofmann, Stefan G; Barlow, David H; Otto, Michael W

2012-04-01

In this article, we illustrate how cognitive behavioral therapy (CBT) can be adapted for the treatment of PTSD among traumatized refugees and ethnic minority populations, providing examples from our treatment, culturally adapted CBT, or CA-CBT. CA-CBT has a unique approach to exposure (typical exposure is poorly tolerated in these groups), emphasizes the treatment of somatic sensations (a particularly salient part of the presentation of PTSD in these groups), and addresses comorbid anxiety disorders and anger. To accomplish these treatment goals, CA-CBT emphasizes emotion exposure and emotion regulation techniques such as meditation and aims to promote emotional and psychological flexibility. We describe 12 key aspects of adapting CA-CBT that make it a culturally sensitive treatment of traumatized refugee and ethnic minority populations. We discuss three models that guide our treatment and that can be used to design culturally sensitive treatments: (a) the panic attack-PTSD model to illustrate the many processes that generate PTSD in these populations, highlighting the role of arousal and somatic symptoms; (b) the arousal triad to demonstrate how somatic symptoms are produced and the importance of targeting comorbid anxiety conditions and psychopathological processes; and (c) the multisystem network (MSN) model of emotional state to reveal how some of our therapeutic techniques (e.g., body-focused techniques: bodily stretching paired with self-statements) bring about psychological flexibility and improvement.

Chinese Immigrant Wealth: Heterogeneity in Adaptation

Science.gov (United States)

Agius Vallejo, Jody; Aronson, Brian

2016-01-01

Chinese immigrants are a diverse and growing group whose members provide a unique opportunity to examine within-immigrant group differences in adaptation. In this paper, we move beyond thinking of national-origin groups as homogenous and study variation among Chinese immigrants in wealth ownership, a critical indicator of adaptation that attracts relatively little attention in the immigration literature. We develop an analytical approach that considers national origin, tenure in the U.S., and age to examine heterogeneity in economic adaptation among the immigrant generation. Our results show that variations among Chinese immigrants explain within-group differences in net worth, asset ownership, and debt. These differences also account for important variation between Chinese immigrants, natives, and other immigrant groups and provide important, new insight into the processes that lead to immigrant adaptation and long-term class stability. PMID:27977737

Chinese Immigrant Wealth: Heterogeneity in Adaptation.

Science.gov (United States)

Keister, Lisa A; Agius Vallejo, Jody; Aronson, Brian

2016-01-01

Chinese immigrants are a diverse and growing group whose members provide a unique opportunity to examine within-immigrant group differences in adaptation. In this paper, we move beyond thinking of national-origin groups as homogenous and study variation among Chinese immigrants in wealth ownership, a critical indicator of adaptation that attracts relatively little attention in the immigration literature. We develop an analytical approach that considers national origin, tenure in the U.S., and age to examine heterogeneity in economic adaptation among the immigrant generation. Our results show that variations among Chinese immigrants explain within-group differences in net worth, asset ownership, and debt. These differences also account for important variation between Chinese immigrants, natives, and other immigrant groups and provide important, new insight into the processes that lead to immigrant adaptation and long-term class stability.

Chinese Immigrant Wealth: Heterogeneity in Adaptation.

Directory of Open Access Journals (Sweden)

Lisa A Keister

Full Text Available Chinese immigrants are a diverse and growing group whose members provide a unique opportunity to examine within-immigrant group differences in adaptation. In this paper, we move beyond thinking of national-origin groups as homogenous and study variation among Chinese immigrants in wealth ownership, a critical indicator of adaptation that attracts relatively little attention in the immigration literature. We develop an analytical approach that considers national origin, tenure in the U.S., and age to examine heterogeneity in economic adaptation among the immigrant generation. Our results show that variations among Chinese immigrants explain within-group differences in net worth, asset ownership, and debt. These differences also account for important variation between Chinese immigrants, natives, and other immigrant groups and provide important, new insight into the processes that lead to immigrant adaptation and long-term class stability.

Effect of a care plan based on Roy adaptation model biological dimension on stroke patients' physiologic adaptation level.

Science.gov (United States)

Alimohammadi, Nasrollah; Maleki, Bibi; Shahriari, Mohsen; Chitsaz, Ahmad

2015-01-01

Stroke is a stressful event with several functional, physical, psychological, social, and economic problems that affect individuals' different living balances. With coping strategies, patients try to control these problems and return to their natural life. The aim of this study is to investigate the effect of a care plan based on Roy adaptation model biological dimension on stroke patients' physiologic adaptation level. This study is a clinical trial in which 50 patients, affected by brain stroke and being admitted in the neurology ward of Kashani and Alzahra hospitals, were randomly assigned to control and study groups in Isfahan in 2013. Roy adaptation model care plan was administered in biological dimension in the form of four sessions and phone call follow-ups for 1 month. The forms related to Roy adaptation model were completed before and after intervention in the two groups. Chi-square test and t-test were used to analyze the data through SPSS 18. There was a significant difference in mean score of adaptation in physiological dimension in the study group after intervention (P adaptation in the patients affected by brain stroke in the study and control groups showed a significant increase in physiological dimension in the study group by 47.30 after intervention (P adaptation model biological dimension care plan can result in an increase in adaptation in patients with stroke in physiological dimension. Nurses can use this model for increasing patients' adaptation.

Improving WCDMA netwotk capacity using adaptive sectorisation ...

African Journals Online (AJOL)

A major problem affecting the capacity of Wideband Code Division Multiple Access (WCDMA) is interference. This work focuses on reducing co-channel interference problem by the application of adaptive sectorisation in nonuniform traffic. It considers an isolated areas of congested traffic called Hot Spots (HS).

Promoting adaptive emotion regulation and coping in adolescence: a school-based programme.

Science.gov (United States)

Horn, Andrea B; Pössel, Patrick; Hautzinger, Martin

2011-03-01

Particularly in adolescence, fostering adaptive emotion regulation is an important aim in health promotion. Expressive writing in combination with psycho-education on emotion regulation seems especially appropriate to serve this aim. In this study, school classes were randomly assigned either to a prevention (N = 208) or to a non-treatment control group (N = 151). The prevention group showed significant improvements regarding negative affect, grades, and days absent compared to the control-group. A combination of expressive writing with elements of psycho-education of emotion regulation might be an effective preventive tool, as it seems to improve psychosocial adjustment by establishing functional emotion regulation strategies.

Cardiovascular adaptations to exercise training

DEFF Research Database (Denmark)

Hellsten, Ylva; Nyberg, Michael

2016-01-01

Aerobic exercise training leads to cardiovascular changes that markedly increase aerobic power and lead to improved endurance performance. The functionally most important adaptation is the improvement in maximal cardiac output which is the result of an enlargement in cardiac dimension, improved...... and peripheral cardiovascular adaptations with a focus on humans, but also covers animal data. © 2016 American Physiological Society. Compr Physiol 6:1-32, 2016....

Knowledge-light adaptation approaches in case-based reasoning for radiotherapy treatment planning.

Science.gov (United States)

Petrovic, Sanja; Khussainova, Gulmira; Jagannathan, Rupa

2016-03-01

Radiotherapy treatment planning aims at delivering a sufficient radiation dose to cancerous tumour cells while sparing healthy organs in the tumour-surrounding area. It is a time-consuming trial-and-error process that requires the expertise of a group of medical experts including oncologists and medical physicists and can take from 2 to 3h to a few days. Our objective is to improve the performance of our previously built case-based reasoning (CBR) system for brain tumour radiotherapy treatment planning. In this system, a treatment plan for a new patient is retrieved from a case base containing patient cases treated in the past and their treatment plans. However, this system does not perform any adaptation, which is needed to account for any difference between the new and retrieved cases. Generally, the adaptation phase is considered to be intrinsically knowledge-intensive and domain-dependent. Therefore, an adaptation often requires a large amount of domain-specific knowledge, which can be difficult to acquire and often is not readily available. In this study, we investigate approaches to adaptation that do not require much domain knowledge, referred to as knowledge-light adaptation. We developed two adaptation approaches: adaptation based on machine-learning tools and adaptation-guided retrieval. They were used to adapt the beam number and beam angles suggested in the retrieved case. Two machine-learning tools, neural networks and naive Bayes classifier, were used in the adaptation to learn how the difference in attribute values between the retrieved and new cases affects the output of these two cases. The adaptation-guided retrieval takes into consideration not only the similarity between the new and retrieved cases, but also how to adapt the retrieved case. The research was carried out in collaboration with medical physicists at the Nottingham University Hospitals NHS Trust, City Hospital Campus, UK. All experiments were performed using real-world brain cancer

Do adapted vignettes improve medical decision-making capacity for individuals with Alzheimer's disease?

Science.gov (United States)

Thalén, Liv; Heimann Mühlenbock, Katarina; Almkvist, Ove; Eriksdotter, Maria; Sundström, Erik; Tallberg, Ing-Mari

2017-12-01

Medical decision-making capacity (MDC) is known to decline in individuals with Alzheimer's disease (AD). The vignette method uses hypothetical information as a prerequisite for measuring the capacity to make well-informed decisions to clinical trials. Our aim was to investigate if adapted vignettes can help individuals with mild AD to assimilate information, make decisions and express them in an understandable way, compared to corresponding decisions based on linguistically more demanding vignettes, as measured by the Swedish Linguistic Instrument for Medical Decision-making (LIMD). Two vignettes from LIMD were altered linguistically with the aim to facilitate understanding for individuals with AD. An experimental within-subject design was used to study the influence on MDC of readability (original/adapted vignettes) and content (two different clinical trials). We included 24 patients with mild AD in this prospective study, which read all four vignettes along with a few other tests. This allowed us to investigate the association between MDC and cognitive function. Adapted vignettes did not yield significant differences regarding MDC as compared with original vignettes using a two-way repeated measures analysis of variance. A difference was found between the two clinical trials where LIMD score was significantly higher for Kidney disease than hypertension vignettes. Our results indicate that adapted vignettes may not improve MDC for individuals with mild AD. MDC was affected by which clinical trial the vignettes regarded, which implies that other factors affecting MDC need to be investigated, like length of text and vocabulary used. © 2017 Scandinavian Psychological Associations and John Wiley & Sons Ltd.

Agriculture for Improved Nutrition and Health: Support to the ...

International Development Research Centre (IDRC) Digital Library (Canada)

Long-time IDRC partner, the Consultative Group on International Agricultural Research ... and intake of nutritious foods, to improve agricultural labour productivity, ... IWRA/IDRC webinar on climate change and adaptive water management.

Adaptation of the xylose fermenting yeast Saccharomyces cerevisiae F12 for improving ethanol production in different fed-batch SSF processes.

Science.gov (United States)

Tomás-Pejó, E; Ballesteros, M; Oliva, J M; Olsson, L

2010-11-01

An efficient fermenting microorganism for bioethanol production from lignocellulose is highly tolerant to the inhibitors released during pretreatment and is able to ferment efficiently both glucose and xylose. In this study, directed evolution was employed to improve the xylose fermenting Saccharomyces cerevisiae F12 strain for bioethanol production at high substrate loading. Adapted and parental strains were compared with respect to xylose consumption and ethanol production. Adaptation led to an evolved strain more tolerant to the toxic compounds present in the medium. When using concentrated prehydrolysate from steam-pretreated wheat straw with high inhibitor concentration, an improvement of 65 and 20% in xylose consumption and final ethanol concentration, respectively, were achieved using the adapted strain. To address the need of high substrate loadings, fed-batch SSF experiments were performed and an ethanol concentration as high as 27.4 g/l (61% of the theoretical) was obtained with 11.25% (w/w) of water insoluble solids (WIS).

Improved Information Retrieval Performance on SQL Database Using Data Adapter

Science.gov (United States)

Husni, M.; Djanali, S.; Ciptaningtyas, H. T.; Wicaksana, I. G. N. A.

2018-02-01

The NoSQL databases, short for Not Only SQL, are increasingly being used as the number of big data applications increases. Most systems still use relational databases (RDBs), but as the number of data increases each year, the system handles big data with NoSQL databases to analyze and access data more quickly. NoSQL emerged as a result of the exponential growth of the internet and the development of web applications. The query syntax in the NoSQL database differs from the SQL database, therefore requiring code changes in the application. Data adapter allow applications to not change their SQL query syntax. Data adapters provide methods that can synchronize SQL databases with NotSQL databases. In addition, the data adapter provides an interface which is application can access to run SQL queries. Hence, this research applied data adapter system to synchronize data between MySQL database and Apache HBase using direct access query approach, where system allows application to accept query while synchronization process in progress. From the test performed using data adapter, the results obtained that the data adapter can synchronize between SQL databases, MySQL, and NoSQL database, Apache HBase. This system spends the percentage of memory resources in the range of 40% to 60%, and the percentage of processor moving from 10% to 90%. In addition, from this system also obtained the performance of database NoSQL better than SQL database.

Adaptive optics in spinning disk microscopy: improved contrast and brightness by a simple and fast method.

Science.gov (United States)

Fraisier, V; Clouvel, G; Jasaitis, A; Dimitrov, A; Piolot, T; Salamero, J

2015-09-01

Multiconfocal microscopy gives a good compromise between fast imaging and reasonable resolution. However, the low intensity of live fluorescent emitters is a major limitation to this technique. Aberrations induced by the optical setup, especially the mismatch of the refractive index and the biological sample itself, distort the point spread function and further reduce the amount of detected photons. Altogether, this leads to impaired image quality, preventing accurate analysis of molecular processes in biological samples and imaging deep in the sample. The amount of detected fluorescence can be improved with adaptive optics. Here, we used a compact adaptive optics module (adaptive optics box for sectioning optical microscopy), which was specifically designed for spinning disk confocal microscopy. The module overcomes undesired anomalies by correcting for most of the aberrations in confocal imaging. Existing aberration detection methods require prior illumination, which bleaches the sample. To avoid multiple exposures of the sample, we established an experimental model describing the depth dependence of major aberrations. This model allows us to correct for those aberrations when performing a z-stack, gradually increasing the amplitude of the correction with depth. It does not require illumination of the sample for aberration detection, thus minimizing photobleaching and phototoxicity. With this model, we improved both signal-to-background ratio and image contrast. Here, we present comparative studies on a variety of biological samples. © 2015 The Authors Journal of Microscopy © 2015 Royal Microscopical Society.

Mudskippers and Their Genetic Adaptations to an Amphibious Lifestyle.

Science.gov (United States)

You, Xinxin; Sun, Min; Li, Jia; Bian, Chao; Chen, Jieming; Yi, Yunhai; Yu, Hui; Shi, Qiong

2018-02-07

Mudskippers are the largest group of amphibious teleost fish that are uniquely adapted to live on mudflats. During their successful transition from aqueous life to terrestrial living, these fish have evolved morphological and physiological modifications of aerial vision and olfaction, higher ammonia tolerance, aerial respiration, improved immunological defense against terrestrial pathogens, and terrestrial locomotion using protruded pectoral fins. Comparative genomic and transcriptomic data have been accumulated and analyzed for understanding molecular mechanisms of the terrestrial adaptations. Our current review provides a general introduction to mudskippers and recent research advances of their genetic adaptations to the amphibious lifestyle, which will be helpful for understanding the evolutionary transition of vertebrates from water to land. Our insights into the genomes and transcriptomes will also support molecular breeding, functional identification, and natural compound screening.

Mudskippers and Their Genetic Adaptations to an Amphibious Lifestyle

Directory of Open Access Journals (Sweden)

Xinxin You

2018-02-01

Full Text Available Mudskippers are the largest group of amphibious teleost fish that are uniquely adapted to live on mudflats. During their successful transition from aqueous life to terrestrial living, these fish have evolved morphological and physiological modifications of aerial vision and olfaction, higher ammonia tolerance, aerial respiration, improved immunological defense against terrestrial pathogens, and terrestrial locomotion using protruded pectoral fins. Comparative genomic and transcriptomic data have been accumulated and analyzed for understanding molecular mechanisms of the terrestrial adaptations. Our current review provides a general introduction to mudskippers and recent research advances of their genetic adaptations to the amphibious lifestyle, which will be helpful for understanding the evolutionary transition of vertebrates from water to land. Our insights into the genomes and transcriptomes will also support molecular breeding, functional identification, and natural compound screening.

Strengthening threatened communities through adaptation: insights from coastal Mozambique

Directory of Open Access Journals (Sweden)

Jessica L. Blythe

2014-06-01

Full Text Available Change is a defining characteristic of coastal social-ecological systems, yet the magnitude and speed of contemporary change is challenging the adaptive capacity of even the most robust coastal communities. In the context of multiple drivers of change, it has become increasingly important to identify how threatened communities adapt to livelihood stressors. We investigate how adaptation is negotiated in two coastal fishing communities by documenting livelihood stressors, household assets, adaptive strategies, and factors that facilitate or inhibit adaptation. Declining catch is the most common stressor being experienced in both communities, however, socioeconomic, e.g., disease or theft, and ecological, e.g., severe storms and drought, changes are also creating livelihood stress. We find that specialized fishers' with higher investment in fishing gear and government support are adapting by intensifying their fishing efforts, whereas poorer fishers with more livelihood options are adapting through diversification. Adaptation is facilitated by fishers' groups, occupational pride, and family networks. It is inhibited by limited assets, competition over declining resources, and pervasive poverty. Our data suggest that adaptation is a heterogeneous process that is influenced by multiple factors. Understanding the complexity of fishers' responses to livelihood stressors is critical for fostering adaptive capacity in coastal communities, for strengthening fisheries management, and for improving the livelihoods of fishing dependent communities.

Empowerment Of Farmer Group In Improving Chilli Farming Income In Kerinci District, Indonesia

Directory of Open Access Journals (Sweden)

Indra Karim

2013-08-01

Full Text Available Purpose of the agricultural development is to raise the quality of human resources and the livelihood of farmers and their families. The role of farmer groups are very important in supporting the agricultural intensification program, but their ability to adopt new technologies are still very limited. Base on these facts then problems of this research is role of the chilli farmers group empowerment in improving the farming revenues.The research was carried out in the Air Hangat Timur Subdistrict, Kerinci District, many farmers who insist the chili farming traditionally, they have not implemented the recommended agrotechnologies package. The number of samples as much as two groups of farmers, including 28 farmers from the Pinang-Jaya farmers group and 17 farmers from Usaha-Sepakat farmer groups. To find out the improvement level of farmers ability in improving farmer income, it is conducted the Coefficient Spearman test.The results showed that the ability of chilli agrotechnology implementation is included in the category of “intermediate”. There is a strong relationship between farmer age, educational level, experience farming and the number of family member with the farmer capability in implementing chilli agrotechnologies. Keywords: farmer group, chili farming, farming income

Prism adaptation does not alter object-based attention in healthy participants

Science.gov (United States)

Bultitude, Janet H.

2013-01-01

Hemispatial neglect (‘neglect’) is a disabling condition that can follow damage to the right side of the brain, in which patients show difficulty in responding to or orienting towards objects and events that occur on the left side of space. Symptoms of neglect can manifest in both space- and object-based frames of reference. Although patients can show a combination of these two forms of neglect, they are considered separable and have distinct neurological bases. In recent years considerable evidence has emerged to demonstrate that spatial symptoms of neglect can be reduced by an intervention called prism adaptation. Patients point towards objects viewed through prismatic lenses that shift the visual image to the right. Approximately five minutes of repeated pointing results in a leftward recalibration of pointing and improved performance on standard clinical tests for neglect. The understanding of prism adaptation has also been advanced through studies of healthy participants, in whom adaptation to leftward prismatic shifts results in temporary neglect-like performance. Here we examined the effect of prism adaptation on the performance of healthy participants who completed a computerised test of space- and object-based attention. Participants underwent adaptation to leftward- or rightward-shifting prisms, or performed neutral pointing according to a between-groups design. Significant pointing after-effects were found for both prism groups, indicating successful adaptation. In addition, the results of the computerised test revealed larger reaction-time costs associated with shifts of attention between two objects compared to shifts of attention within the same object, replicating previous work. However there were no differences in the performance of the three groups, indicating that prism adaptation did not influence space- or object-based attention for this task. When combined with existing literature, the results are consistent with the proposal that prism

Using Group Projects to Teach Process Improvement in a Quality Class

Science.gov (United States)

Neidigh, Robert O.

2016-01-01

This paper provides a description of a teaching approach that uses experiential learning to teach process improvement. The teaching approach uses student groups to perform and gather process data in a senior-level quality management class that focuses on Lean Six Sigma. A strategy to link the experiential learning in the group projects to the…

The effectiveness of a Housing First adaptation for ethnic minority groups: findings of a pragmatic randomized controlled trial

Directory of Open Access Journals (Sweden)

Vicky Stergiopoulos

2016-10-01

Full Text Available Abstract Background Little is known about the effectiveness of Housing First (HF among ethnic minority groups, despite its growing popularity for homeless adults experiencing mental illness. This randomized controlled trial tests the effectiveness of a HF program using rent supplements and intensive case management, enhanced by anti-racism and anti-oppression practices for homeless adults with mental illness from diverse ethnic minority backgrounds. Methods This unblinded pragmatic field trial was carried out in community settings in Toronto, Canada. Participants were 237 adults from ethnic minority groups experiencing mental illness and homelessness, who met study criteria for moderate needs for mental health services. Participants were randomized to either adapted HF (n = 135 or usual care (n = 102 and followed every 3 months for 24 months. The primary study outcome was housing stability; secondary outcomes included physical and mental health, social functioning, quality of life, arrests and health service use. Intention to treat statistical analyses examined the effectiveness of the intervention compared to usual care. Results During the 24-month study period, HF participants were stably housed a significantly greater proportion of time compared to usual care participants, 75 % (95 % CI 70 to 81 vs. 41 % (95 % CI 35 to 48, respectively, for a difference of 34 %, 95 % CI 25 to 43. HF also led to improvements in community integration over the course of the study: the change in the mean difference between treatment groups from baseline to 24-months was significantly greater among HF participants compared to those in usual care (change in mean difference = 2.2, 95 % CI 0.06 to 4.3. Baseline diagnosis of psychosis was associated with reduced likelihood of being housed ≥ 50 % of the study period (OR = 0.37, 95 % CI 0.18 to 0.72. Conclusion Housing First enhanced with anti-racism and anti-oppression practices can

Possibilities to improve the adaptation quality of calculated material substitutes

Energy Technology Data Exchange (ETDEWEB)

Geske, G.

1981-04-01

In calculating the composition of material substitutes by a system of simultaneous equations it is possible, by using a so called quality index, to find out of the set of solutions which generally exists that solution which possesses the best adaptation quality. Further improvement is often possible by describing coherent scattering and photoelectric interaction by an own material parameter for each effect. The exact formulation of these quantities as energy indepedent functions is, however, impossible. Using a set of attenuation coefficients at suitably chosen energies as coefficients for the system of equations the best substitutes are found. The solutions for the investigated example are identical with the original relative to its chemical composition. Such solutions may be of use in connection with neutrons, protons, heavy ions and negative pions. The components taken into consideration must, of course, permit such solutions. These facts are discussed in detail by two examples.

Tailoring surface groups of carbon quantum dots to improve photoluminescence behaviors

International Nuclear Information System (INIS)

Tian, Ruixue; Hu, Shengliang; Wu, Lingling; Chang, Qing; Yang, Jinlong; Liu, Jun

2014-01-01

Highlights: • We develop a facile and green method to tailor surface groups. • Photoluminescence behaviors of carbon quantum dots are improved by tailoring their surface groups. • Highly luminescent efficiency is produced by amino-hydrothermal treatment of reduced carbon quantum dots. - Abstract: A facile and green method to tailor surface groups of carbon quantum dots (CQDs) is developed by hydrothermal treatment in an autoclave. The photoluminescence (PL) behaviors of CQDs depend on the types of surface groups. Highly efficient photoluminescence is obtained through amino-hydrothermal treatment of the CQDs reduced by NaBH 4 . The effects of surface groups on PL behavior are attributed to the degrees of energy band bending induced by surface groups

Group relationships in early and late sessions and improvement in interpersonal problems.

Science.gov (United States)

Lo Coco, Gianluca; Gullo, Salvatore; Di Fratello, Carla; Giordano, Cecilia; Kivlighan, Dennis M

2016-07-01

Groups are more effective when positive bonds are established and interpersonal conflicts resolved in early sessions and work is accomplished in later sessions. Previous research has provided mixed support for this group development model. We performed a test of this theoretical perspective using group members' (actors) and aggregated group members' (partners) perceptions of positive bonding, positive working, and negative group relationships measured early and late in interpersonal growth groups. Participants were 325 Italian graduate students randomly (within semester) assigned to 1 of 16 interpersonal growth groups. Groups met for 9 weeks with experienced psychologists using Yalom and Leszcz's (2005) interpersonal process model. Outcome was assessed pre- and posttreatment using the Inventory of Interpersonal Problems, and group relationships were measured at Sessions 3 and 6 using the Group Questionnaire. As hypothesized, early measures of positive bonding and late measures of positive working, for both actors and partners, were positively related to improved interpersonal problems. Also as hypothesized, late measures of positive bonding and early measures of positive working, for both actors and partners, were negatively related to improved interpersonal problems. We also found that early actor and partner positive bonding and negative relationships interacted to predict changes in interpersonal problems. The findings are consistent with group development theory and suggest that group therapists focus on group-as-a-whole positive bonding relationships in early group sessions and on group-as-a-whole positive working relationships in later group sessions. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Improved Management of Water and Natural Resources Requires Open, Cognizant, Adaptive Science and Policy

Science.gov (United States)

Glynn, P. D.; Voinov, A. A.; Shapiro, C. D.; Jenni, K. E.

2017-12-01

Water issues impact the availability and use of other natural resources as well as environmental conditions. In an increasingly populated hyper-connected world, water issues are increasingly "wicked problems": complex problems with high uncertainties and no independent observers. Water is essential to life, and life affects water quality and availability. Scientists, managers, decision-makers, and the greater public all have a stake in improving the management of water resources. In turn, they are part of the systems that they are studying, deciding on, affecting, or trying to improve. Governance of water issues requires greater accessibility, traceability, and accountability (ATA) in science and policy. Water-related studies and decision-making need transdisciplinary science, inclusive participatory processes, and consideration and acceptance of multiple perspectives. Biases, Beliefs, Heuristics, and Values (BBHV) shape much of our perceptions and knowledge, and inevitably, affect both science and policy. Understanding the role of BBHV is critical to (1) understanding individual and group judgments and choices, (2) recognizing potential differences between societal "wants" and societal "needs", and (3) identifying "winners" and "losers" of policy decisions. Societal acceptance of proposed policies and actions can be fostered by enhancing participatory processes and by providing greater ATA in science, in policy, and in development of the laws, rules, and traditions that constrain decision-making. An adaptive science-infused governance framework is proposed that seeks greater cognizance of the role of BBHV in shaping science and policy choices and decisions, and that also seeks "Open Traceable Accountable Policy" to complement "Open Science". We discuss the limitations of the governance that we suggest, as well as tools and approaches to help implementation.

Significant improvements of electrical discharge machining performance by step-by-step updated adaptive control laws

Science.gov (United States)

Zhou, Ming; Wu, Jianyang; Xu, Xiaoyi; Mu, Xin; Dou, Yunping

2018-02-01

In order to obtain improved electrical discharge machining (EDM) performance, we have dedicated more than a decade to correcting one essential EDM defect, the weak stability of the machining, by developing adaptive control systems. The instabilities of machining are mainly caused by complicated disturbances in discharging. To counteract the effects from the disturbances on machining, we theoretically developed three control laws from minimum variance (MV) control law to minimum variance and pole placements coupled (MVPPC) control law and then to a two-step-ahead prediction (TP) control law. Based on real-time estimation of EDM process model parameters and measured ratio of arcing pulses which is also called gap state, electrode discharging cycle was directly and adaptively tuned so that a stable machining could be achieved. To this end, we not only theoretically provide three proved control laws for a developed EDM adaptive control system, but also practically proved the TP control law to be the best in dealing with machining instability and machining efficiency though the MVPPC control law provided much better EDM performance than the MV control law. It was also shown that the TP control law also provided a burn free machining.

Adaptive Feedback Improving Learningful Conversations at Workplace

Science.gov (United States)

Gaeta, Matteo; Mangione, Giuseppina Rita; Miranda, Sergio; Orciuoli, Francesco

2013-01-01

This work proposes the definition of an Adaptive Conversation-based Learning System (ACLS) able to foster computer-mediated tutorial dialogues at the workplace in order to increase the probability to generate meaningful learning during conversations. ACLS provides a virtual assistant selecting the best partner to involve in the conversation and…

Methods for the cultural adaptation of a diabetes lifestyle intervention for Latinas: an illustrative project.

Science.gov (United States)

Osuna, Diego; Barrera, Manuel; Strycker, Lisa A; Toobert, Deborah J; Glasgow, Russell E; Geno, Cristy R; Almeida, Fabio; Perdomo, Malena; King, Diane; Doty, Alyssa Tinley

2011-05-01

Because Latinas experience a high prevalence of type 2 diabetes and its complications, there is an urgent need to reach them with interventions that promote healthful lifestyles. This article illustrates a sequential approach that took an effective multiple-risk-factor behavior-change program and adapted it for Latinas with type 2 diabetes. Adaptation stages include (a) information gathering from literature and focus groups, (b) preliminary adaptation design, and (c) preliminary adaptation test. In this third stage, a pilot study finds that participants were highly satisfied with the intervention and showed improvement across diverse outcomes. Key implications for applications include the importance of a model for guiding cultural adaptations, and the value of procedures for obtaining continuous feedback from staff and participants during the preliminary adaptation test.

A Systematic Review of Interventions to Improve Initiation of Mental Health Care Among Racial-Ethnic Minority Groups.

Science.gov (United States)

Lee-Tauler, Su Yeon; Eun, John; Corbett, Dawn; Collins, Pamela Y

2018-05-02

The objective of this systematic review was to identify interventions to improve the initiation of mental health care among racial-ethnic minority groups. The authors searched three electronic databases in February 2016 and independently assessed eligibility of 2,065 titles and abstracts on the basis of three criteria: the study design included an intervention, the participants were members of racial-ethnic minority groups and lived in the United States, and the outcome measures included initial access to or attitudes toward mental health care. The qualitative synthesis involved 29 studies. Interventions identified included collaborative care (N=10), psychoeducation (N=7), case management (N=5), colocation of mental health services within existing services (N=4), screening and referral (N=2), and a change in Medicare medication reimbursement policy that served as a natural experiment (N=1). Reduction of disparities in the initiation of antidepressants or psychotherapy was noted in seven interventions (four involving collaborative care, two involving colocation of mental health services, and one involving screening and referral). Five of these disparities-reducing interventions were tested among older adults only. Most (N=23) interventions incorporated adaptations designed to address social or cultural barriers to care. Interventions that used a model of integrated care reduced racial-ethnic disparities in the initiation of mental health care.

The utility of adaptive eLearning in cervical cytopathology education.

Science.gov (United States)

Samulski, T Danielle; Taylor, Laura A; La, Teresa; Mehr, Chelsea R; McGrath, Cindy M; Wu, Roseann I

2018-02-01

Adaptive eLearning allows students to experience a self-paced, individualized curriculum based on prior knowledge and learning ability. The authors investigated the effectiveness of adaptive online modules in teaching cervical cytopathology. eLearning modules were created that covered basic concepts in cervical cytopathology, including artifacts and infections, squamous lesions (SL), and glandular lesions (GL). The modules used student responses to individualize the educational curriculum and provide real-time feedback. Pathology trainees and faculty from the authors' institution were randomized into 2 groups (SL or GL), and identical pre-tests and post-tests were used to compare the efficacy of eLearning modules versus traditional study methods (textbooks and slide sets). User experience was assessed with a Likert scale and free-text responses. Sixteen of 17 participants completed the SL module, and 19 of 19 completed the GL module. Participants in both groups had improved post-test scores for content in the adaptive eLearning module. Users indicated that the module was effective in presenting content and concepts (Likert scale [from 1 to 5], 4.3 of 5.0), was an efficient and convenient way to review the material (Likert scale, 4.4 of 5.0), and was more engaging than lectures and texts (Likert scale, 4.6 of 5.0). Users favored the immediate feedback and interactivity of the module. Limitations included the inability to review prior content and slow upload time for images. Learners demonstrated improvement in their knowledge after the use of adaptive eLearning modules compared with traditional methods. Overall, the modules were viewed positively by participants. Adaptive eLearning modules can provide an engaging and effective adjunct to traditional teaching methods in cervical cytopathology. Cancer Cytopathol 2018;126:129-35. © 2017 American Cancer Society. © 2017 American Cancer Society.

Polymer Nanocomposites with Cellulose Nanocrystals Featuring Adaptive Surface Groups.

Science.gov (United States)

Natterodt, Jens C; Sapkota, Janak; Foster, E Johan; Weder, Christoph

2017-02-13

Cellulose nanocrystals (CNCs) are mechanically rigid, toxicologically benign, fiber-like nanoparticles. They can easily be extracted from renewable biosources and have attracted significant interest as reinforcing fillers in polymers. We here report the modification of CNCs with the 2-ureido-4[1H]pyrimidinone (UPy) motif as an adaptive compatibilizer, which permits the dispersion of UPy-modified CNCs in nonpolar as well as polar media. In toluene, the UPy motifs appear to form intra-CNC dimers, so that the particles are somewhat hydrophobized and well-dispersible in this nonpolar solvent. By contrast, the UPy motifs dissociate in DMF and promote dispersibility through interactions with this polar solvent. We have exploited this adaptiveness and integrated UPy-modified CNCs into nonpolar and polar host polymers, which include different poly(ethylene)s, a polystyrene-block-polybutadiene-block-polystyrene elastomer and poly(ethylene oxide-co-epichlorohydrin). All nanocomposites display an increase of stiffness and strength in comparison to the neat polymer, and some compositions retain a high elongation at break, even at a filler content of 15% w/w.

Adaptation and Retention of a Perceptual-Motor Task in Children: Effects of a Single Bout of Intense Endurance Exercise.

Science.gov (United States)

Ferrer-Uris, Blai; Busquets, Albert; Angulo-Barroso, Rosa

2018-02-01

We assessed the effect of an acute intense exercise bout on the adaptation and consolidation of a visuomotor adaptation task in children. We also sought to assess if exercise and learning task presentation order could affect task consolidation. Thirty-three children were randomly assigned to one of three groups: (a) exercise before the learning task, (b) exercise after the learning task, and (c) only learning task. Baseline performance was assessed by practicing the learning task in a 0° rotation condition. Afterward, a 60° rotation-adaptation set was applied followed by three rotated retention sets after 1 hr, 24 hr, and 7 days. For the exercise groups, exercise was presented before or after the motor adaptation. Results showed no group differences during the motor adaptation while exercise seemed to enhance motor consolidation. Greater consolidation enhancement was found in participants who exercised before the learning task. Our data support the importance of exercise to improve motor-memory consolidation in children.

Successful adaptation of a research methods course in South America.

Science.gov (United States)

Tamariz, Leonardo; Vasquez, Diego; Loor, Cecilia; Palacio, Ana

2017-01-01

South America has low research productivity. The lack of a structured research curriculum is one of the barriers to conducting research. To report our experience adapting an active learning-based research methods curriculum to improve research productivity at a university in Ecuador. We used a mixed-method approach to test the adaptation of the research curriculum at Universidad Catolica Santiago de Guayaquil. The curriculum uses a flipped classroom and active learning approach to teach research methods. When adapted, it was longitudinal and had 16-hour programme of in-person teaching and a six-month follow-up online component. Learners were organized in theme groups according to interest, and each group had a faculty leader. Our primary outcome was research productivity, which was measured by the succesful presentation of the research project at a national meeting, or publication in a peer-review journal. Our secondary outcomes were knowledge and perceived competence before and after course completion. We conducted qualitative interviews of faculty members and students to evaluate themes related to participation in research. Fifty university students and 10 faculty members attended the course. We had a total of 15 groups. Both knowledge and perceived competence increased by 17 and 18 percentage points, respectively. The presentation or publication rate for the entire group was 50%. The qualitative analysis showed that a lack of research culture and curriculum were common barriers to research. A US-based curriculum can be successfully adapted in low-middle income countries. A research curriculum aids in achieving pre-determined milestones. UCSG: Universidad Catolica Santiago de Guayaquil; UM: University of Miami.

Effects of volume-based overload plyometric training on maximal-intensity exercise adaptations in young basketball players.

Science.gov (United States)

Asadi, Abbas; Ramirez-Campillo, Rodrigo; Meylan, Cesar; Nakamura, Fabio Y; Cañas-Jamett, Rodrigo; Izquierdo, Mikel

2017-12-01

The aim of the present study was to compare maximal-intensity exercise adaptations in young basketball players (who were strong individuals at baseline) participating in regular basketball training versus regular plus a volume-based plyometric training program in the pre-season period. Young basketball players were recruited and assigned either to a plyometric with regular basketball training group (experimental group [EG]; N.=8), or a basketball training only group (control group [CG]; N.=8). The athletes in EG performed periodized (i.e., from 117 to 183 jumps per session) plyometric training for eight weeks. Before and after the intervention, players were assessed in vertical and broad jump, change of direction, maximal strength and a 60-meter sprint test. No significant improvements were found in the CG, while the EG improved vertical jump (effect size [ES] 2.8), broad jump (ES=2.4), agility T test (ES=2.2), Illinois agility test (ES=1.4), maximal strength (ES=1.8), and 60-m sprint (ES=1.6) (Ptraining in addition to regular basketball practice can lead to meaningful improvements in maximal-intensity exercise adaptations among young basketball players during the pre-season.

Rate Adaptive OFDMA Communication Systems

International Nuclear Information System (INIS)

Abdelhakim, M.M.M.

2009-01-01

Due to the varying nature of the wireless channels, adapting the transmission parameters, such as code rate, modulation order and power, in response to the channel variations provides a significant improvement in the system performance. In the OFDM systems, Per-Frame adaptation (PFA) can be employed where the transmission variables are fixed over a given frame and may change from one frame to the other. Subband (tile) loading offers more degrees of adaptation such that each group of carriers (subband) uses the same transmission parameters and different subbands may use different parameters. Changing the code rate for each tile in the same frame, results in transmitting multiple codewords (MCWs) for a single frame. In this thesis a scheme is proposed for adaptively changing the code rate of coded OFDMA systems via changing the puncturing rate within a single codeword (SCW). In the proposed structure, the data is encoded with the lowest available code rate then it is divided among the different tiles where it is punctured adaptively based on some measure of the channel quality for each tile. The proposed scheme is compared against using multiple codewords (MCWs) where the different code rates for the tiles are obtained using separate encoding processes. For bit interleaved coded modulation architecture two novel interleaving methods are proposed, namely the puncturing dependant interleaver (PDI) and interleaved puncturing (IntP), which provide larger interleaving depth. In the PDI method the coded bits with the same rate over different tiles are grouped for interleaving. In IntP structure the interleaving is performed prior to puncturing. The performance of the adaptive puncturing technique is investigated under constant bit rate constraint and variable bit rate. Two different adaptive modulation and coding (AMC) selection methods are examined for variable bit rate adaptive system. The first is a recursive scheme that operates directly on the SNR whereas the second

Brain Activity Stimulated by Prism Adaptation Tasks Utilized for the Treatment of Unilateral Spatial Neglect: A Study with fNIRS

Directory of Open Access Journals (Sweden)

Hiroshi Taniguchi

2012-01-01

Full Text Available We investigated the neurological basis for efficacy of prism adaptation therapy, which is used for the treatment of poststroke unilateral spatial neglect (USN. Study subjects were 6 USN-positive (+, 6 USN-negative patients, and 6 healthy volunteer control subjects. USN was identified by the Behavioural Inattention Test (BIT. During the tasks, brain activity was assessed with fNIRS via changes in oxyHb concentration per unit length. There was no significant difference in the number of errors in the task between the 3 groups. However, in the USN(+ group there was a significantly greater reduction in oxyHb levels in the right parietal association cortex during the prism adaptation task than in the other 2 groups (<0.05. There was an immediate improvement in USN symptoms as well as a significant increase in oxyHb levels during the prism adaptation in the channels covering the right frontal and parietal lobes in 2 patients in the USN(+ group (<0.05. This result suggested that decreased activity in the right parietal association cortex, which is related to spatial perception, during the prism adaptation task and task-induced reorganization of the right frontal and parietal areas were involved in improvement in USN symptoms.

Assessing the effectiveness and cost effectiveness of adaptive e-Learning to improve dietary behaviour: protocol for a systematic review.

Science.gov (United States)

Edwards, Phil; Felix, Lambert; Harris, Jody; Ferguson, Elaine; Free, Caroline; Landon, Jane; Lock, Karen; Michie, Susan; Miners, Alec; Murray, Elizabeth

2010-04-21

The composition of habitual diets is associated with adverse or protective effects on aspects of health. Consequently, UK public health policy strongly advocates dietary change for the improvement of population health and emphasises the importance of individual empowerment to improve health. A new and evolving area in the promotion of dietary behavioural change is e-Learning, the use of interactive electronic media to facilitate teaching and learning on a range of issues, including diet and health. The aims of this systematic review are to determine the effectiveness and cost-effectiveness of adaptive e-Learning for improving dietary behaviours. The research will consist of a systematic review and a cost-effectiveness analysis. Studies will be considered for the review if they are randomised controlled trials, involving participants aged 13 or over, which evaluate the effectiveness or efficacy of interactive software programmes for improving dietary behaviour. Primary outcome measures will be those related to dietary behaviours, including estimated intakes of energy, nutrients and dietary fibre, or the estimated number of servings per day of foods or food groups. Secondary outcome measures will be objective clinical measures that are likely to respond to changes in dietary behaviours, such as anthropometry or blood biochemistry. Knowledge, self-efficacy, intention and emotion will be examined as mediators of dietary behaviour change in order to explore potential mechanisms of action. Databases will be searched using a comprehensive four-part search strategy, and the results exported to a bibliographic database. Two review authors will independently screen results to identify potentially eligible studies, and will independently extract data from included studies, with any discrepancies at each stage settled by a third author. Standardised forms and criteria will be used.A descriptive analysis of included studies will describe study design, participants, the

Studying citizen science through adaptive management and learning feedbacks as mechanisms for improving conservation.

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Jordan, Rebecca; Gray, Steven; Sorensen, Amanda; Newman, Greg; Mellor, David; Newman, Greg; Hmelo-Silver, Cindy; LaDeau, Shannon; Biehler, Dawn; Crall, Alycia

2016-06-01

Citizen science has generated a growing interest among scientists and community groups, and citizen science programs have been created specifically for conservation. We examined collaborative science, a highly interactive form of citizen science, which we developed within a theoretically informed framework. In this essay, we focused on 2 aspects of our framework: social learning and adaptive management. Social learning, in contrast to individual-based learning, stresses collaborative and generative insight making and is well-suited for adaptive management. Adaptive-management integrates feedback loops that are informed by what is learned and is guided by iterative decision making. Participants engaged in citizen science are able to add to what they are learning through primary data collection, which can result in the real-time information that is often necessary for conservation. Our work is particularly timely because research publications consistently report a lack of established frameworks and evaluation plans to address the extent of conservation outcomes in citizen science. To illustrate how our framework supports conservation through citizen science, we examined how 2 programs enacted our collaborative science framework. Further, we inspected preliminary conservation outcomes of our case-study programs. These programs, despite their recent implementation, are demonstrating promise with regard to positive conservation outcomes. To date, they are independently earning funds to support research, earning buy-in from local partners to engage in experimentation, and, in the absence of leading scientists, are collecting data to test ideas. We argue that this success is due to citizen scientists being organized around local issues and engaging in iterative, collaborative, and adaptive learning. © 2016 Society for Conservation Biology.

Driver's behavioral adaptation to adaptive cruise control (ACC): the case of speed and time headway.

Science.gov (United States)

Bianchi Piccinini, Giulio Francesco; Rodrigues, Carlos Manuel; Leitão, Miguel; Simões, Anabela

2014-06-01

The Adaptive Cruise Control is an Advanced Driver Assistance System (ADAS) that allows maintaining given headway and speed, according to settings pre-defined by the users. Despite the potential benefits associated to the utilization of ACC, previous studies warned against negative behavioral adaptations that might occur while driving with the system activated. Unfortunately, up to now, there are no unanimous results about the effects induced by the usage of ACC on speed and time headway to the vehicle in front. Also, few studies were performed including actual users of ACC among the subjects. This research aimed to investigate the effect of the experience gained with ACC on speed and time headway for a group of users of the system. In addition, it explored the impact of ACC usage on speed and time headway for ACC users and regular drivers. A matched sample driving simulator study was planned as a two-way (2×2) repeated measures mixed design, with the experience with ACC as between-subjects factor and the driving condition (with ACC and manually) as within-subjects factor. The results show that the usage of ACC brought a small but not significant reduction of speed and, especially, the maintenance of safer time headways, being the latter result greater for ACC users, probably as a consequence of their experience in using the system. The usage of ACC did not cause any negative behavioral adaptations to the system regarding speed and time headway. Based on this research work, the Adaptive Cruise Control showed the potential to improve road safety for what concerns the speed and the time headway maintained by the drivers. The speed of the surrounding traffic and the minimum time headway settable through the ACC seem to have an important effect on the road safety improvement achievable with the system. Copyright © 2014 Elsevier Ltd. All rights reserved.

Predicting respiratory tumor motion with multi-dimensional adaptive filters and support vector regression

International Nuclear Information System (INIS)

Riaz, Nadeem; Wiersma, Rodney; Mao Weihua; Xing Lei; Shanker, Piyush; Gudmundsson, Olafur; Widrow, Bernard

2009-01-01

Intra-fraction tumor tracking methods can improve radiation delivery during radiotherapy sessions. Image acquisition for tumor tracking and subsequent adjustment of the treatment beam with gating or beam tracking introduces time latency and necessitates predicting the future position of the tumor. This study evaluates the use of multi-dimensional linear adaptive filters and support vector regression to predict the motion of lung tumors tracked at 30 Hz. We expand on the prior work of other groups who have looked at adaptive filters by using a general framework of a multiple-input single-output (MISO) adaptive system that uses multiple correlated signals to predict the motion of a tumor. We compare the performance of these two novel methods to conventional methods like linear regression and single-input, single-output adaptive filters. At 400 ms latency the average root-mean-square-errors (RMSEs) for the 14 treatment sessions studied using no prediction, linear regression, single-output adaptive filter, MISO and support vector regression are 2.58, 1.60, 1.58, 1.71 and 1.26 mm, respectively. At 1 s, the RMSEs are 4.40, 2.61, 3.34, 2.66 and 1.93 mm, respectively. We find that support vector regression most accurately predicts the future tumor position of the methods studied and can provide a RMSE of less than 2 mm at 1 s latency. Also, a multi-dimensional adaptive filter framework provides improved performance over single-dimension adaptive filters. Work is underway to combine these two frameworks to improve performance.

An Improved Adaptive-Torque-Gain MPPT Control for Direct-Driven PMSG Wind Turbines Considering Wind Farm Turbulences

Directory of Open Access Journals (Sweden)

Xiaolian Zhang

2016-11-01

Full Text Available Maximum power point tracking (MPPT plays an important role in increasing the efficiency of a wind energy conversion system (WECS. In this paper, three conventional MPPT methods are reviewed: power signal feedback (PSF control, decreased torque gain (DTG control, and adaptive torque gain (ATG control, and their potential challenges are investigated. It is found out that the conventional MPPT method ignores the effect of wind turbine inertia and wind speed fluctuations, which lowers WECS efficiency. Accordingly, an improved adaptive torque gain (IATG method is proposed, which customizes adaptive torque gains and enhances MPPT performances. Specifically, the IATG control considers wind farm turbulences and works out the relationship between the optimal torque gains and the wind speed characteristics, which has not been reported in the literature. The IATG control is promising, especially under the ongoing trend of building wind farms with large-scale wind turbines and at low and medium wind speed sites.

Robust Transmission of H.264/AVC Streams Using Adaptive Group Slicing and Unequal Error Protection

Science.gov (United States)

Thomos, Nikolaos; Argyropoulos, Savvas; Boulgouris, Nikolaos V.; Strintzis, Michael G.

2006-12-01

We present a novel scheme for the transmission of H.264/AVC video streams over lossy packet networks. The proposed scheme exploits the error-resilient features of H.264/AVC codec and employs Reed-Solomon codes to protect effectively the streams. A novel technique for adaptive classification of macroblocks into three slice groups is also proposed. The optimal classification of macroblocks and the optimal channel rate allocation are achieved by iterating two interdependent steps. Dynamic programming techniques are used for the channel rate allocation process in order to reduce complexity. Simulations clearly demonstrate the superiority of the proposed method over other recent algorithms for transmission of H.264/AVC streams.

Adaptive ILC with an adaptive iterative learnign gain

International Nuclear Information System (INIS)

Ashraf, S.; Muhammad, E.

2008-01-01

This paper describes the design of an adaptive ILC (Iterative Learning Controller) with an iterative learning gain. The basic idea behind ILC is that the information obtained from one trial can be used to improve the control input for the next trial. This proposed scheme extends the idea further and suggests that the information obtained from one trial could also be used to improve control algorithm parameters (gain matrices). The scheme converges faster than the conventional ILC. This convergence and hence number of iterations has always been an issue with ILC. This scheme because of its simple mathematical structure can easily be implemented with lower memory and simpler hardware as opposed to other such adaptive schemes which are computationally expensive. (author)

Improving the use of crop models for risk assessment and climate change adaptation.

Science.gov (United States)

Challinor, Andrew J; Müller, Christoph; Asseng, Senthold; Deva, Chetan; Nicklin, Kathryn Jane; Wallach, Daniel; Vanuytrecht, Eline; Whitfield, Stephen; Ramirez-Villegas, Julian; Koehler, Ann-Kristin

2018-01-01

Crop models are used for an increasingly broad range of applications, with a commensurate proliferation of methods. Careful framing of research questions and development of targeted and appropriate methods are therefore increasingly important. In conjunction with the other authors in this special issue, we have developed a set of criteria for use of crop models in assessments of impacts, adaptation and risk. Our analysis drew on the other papers in this special issue, and on our experience in the UK Climate Change Risk Assessment 2017 and the MACSUR, AgMIP and ISIMIP projects. The criteria were used to assess how improvements could be made to the framing of climate change risks, and to outline the good practice and new developments that are needed to improve risk assessment. Key areas of good practice include: i. the development, running and documentation of crop models, with attention given to issues of spatial scale and complexity; ii. the methods used to form crop-climate ensembles, which can be based on model skill and/or spread; iii. the methods used to assess adaptation, which need broadening to account for technological development and to reflect the full range options available. The analysis highlights the limitations of focussing only on projections of future impacts and adaptation options using pre-determined time slices. Whilst this long-standing approach may remain an essential component of risk assessments, we identify three further key components: 1.Working with stakeholders to identify the timing of risks. What are the key vulnerabilities of food systems and what does crop-climate modelling tell us about when those systems are at risk?2.Use of multiple methods that critically assess the use of climate model output and avoid any presumption that analyses should begin and end with gridded output.3.Increasing transparency and inter-comparability in risk assessments. Whilst studies frequently produce ranges that quantify uncertainty, the assumptions

How to develop a patient and carer advisory group in a quality improvement study.

Science.gov (United States)

Loud, Fiona; Jain, Neerja; Thomas, Nicola

2013-09-01

This paper explores how a group of people with renal or other vascular conditions collaborated with renal practitioners in undertaking a quality improvement project, the aim of which was to reduce variation in care for people with Stages 3-4 chronic kidney disease. The patient advisory group supporting the project took a decisive and leading role in the creation of self-management materials and subsequent training for healthcare professionals and patients. The role of the patient advisory group was evaluated informally throughout the project. Confidence amongst the patient advisory group members grew as the project developed. Clinicians are often unclear on how to involve patients and carers in quality improvement projects, yet it is increasingly recognised as important. In practice, patients with experience of long-term conditions can co-lead quality improvement projects. It is recommended that further evaluation of the role of advisory groups is warranted. © 2013 European Dialysis and Transplant Nurses Association/European Renal Care Association.

Improved compressed sensing-based cone-beam CT reconstruction using adaptive prior image constraints

Science.gov (United States)

Lee, Ho; Xing, Lei; Davidi, Ran; Li, Ruijiang; Qian, Jianguo; Lee, Rena

2012-04-01

Volumetric cone-beam CT (CBCT) images are acquired repeatedly during a course of radiation therapy and a natural question to ask is whether CBCT images obtained earlier in the process can be utilized as prior knowledge to reduce patient imaging dose in subsequent scans. The purpose of this work is to develop an adaptive prior image constrained compressed sensing (APICCS) method to solve this problem. Reconstructed images using full projections are taken on the first day of radiation therapy treatment and are used as prior images. The subsequent scans are acquired using a protocol of sparse projections. In the proposed APICCS algorithm, the prior images are utilized as an initial guess and are incorporated into the objective function in the compressed sensing (CS)-based iterative reconstruction process. Furthermore, the prior information is employed to detect any possible mismatched regions between the prior and current images for improved reconstruction. For this purpose, the prior images and the reconstructed images are classified into three anatomical regions: air, soft tissue and bone. Mismatched regions are identified by local differences of the corresponding groups in the two classified sets of images. A distance transformation is then introduced to convert the information into an adaptive voxel-dependent relaxation map. In constructing the relaxation map, the matched regions (unchanged anatomy) between the prior and current images are assigned with smaller weight values, which are translated into less influence on the CS iterative reconstruction process. On the other hand, the mismatched regions (changed anatomy) are associated with larger values and the regions are updated more by the new projection data, thus avoiding any possible adverse effects of prior images. The APICCS approach was systematically assessed by using patient data acquired under standard and low-dose protocols for qualitative and quantitative comparisons. The APICCS method provides an

Efficacy of interpersonal therapy-group format adapted to post-traumatic stress disorder: an open-label add-on trial.

Science.gov (United States)

Campanini, Rosaly F B; Schoedl, Aline F; Pupo, Mariana C; Costa, Ana Clara H; Krupnick, Janice L; Mello, Marcelo F

2010-01-01

Post-traumatic stress disorder (PTSD) is a highly prevalent condition, yet available treatments demonstrate only modest efficacy. Exposure therapies, considered by many to be the "gold-standard" therapy for PTSD, are poorly tolerated by many patients and show high attrition. We evaluated interpersonal therapy, in a group format, adapted to PTSD (IPT-G PTSD), as an adjunctive treatment for patients who failed to respond to conventional psychopharmacological treatment. Research participants included 40 patients who sought treatment through a program on violence in the department of psychiatry of Federal University of São Paulo (UNIFESP). They had received conventional psychopharmacological treatment for at least 12 weeks and failed to have an adequate clinical response. After signing an informed consent, approved earlier by the UNIFESP Ethics Review Board, they received a semi-structured diagnostic interview (SCID-I), administered by a trained mental health worker, to confirm the presence of a PTSD diagnosis according to DSM-IV criteria. Other instruments were administered, and patients completed out self-report instruments at baseline, and endpoint to evaluate clinical outcomes. Thirty-three patients completed the trial, but all had at least one second outcome evaluation. There were significant improvements on all measures, with large effect sizes. IPT-G PTSD was effective not only in decreasing symptoms of PTSD, but also in decreasing symptoms of anxiety and depression. It led to significant improvements in social adjustment and quality of life. It was well tolerated and there were few dropouts. Our results are very preliminary; they need further confirmation through randomized controlled clinical trials.

Improved mesh generator for the POISSON Group Codes

International Nuclear Information System (INIS)

Gupta, R.C.

1987-01-01

This paper describes the improved mesh generator of the POISSON Group Codes. These improvements enable one to have full control over the way the mesh is generated and in particular the way the mesh density is distributed throughout this model. A higher mesh density in certain regions coupled with a successively lower mesh density in others keeps the accuracy of the field computation high and the requirements on the computer time and computer memory low. The mesh is generated with the help of codes AUTOMESH and LATTICE; both have gone through a major upgrade. Modifications have also been made in the POISSON part of these codes. We shall present an example of a superconducting dipole magnet to explain how to use this code. The results of field computations are found to be reliable within a few parts in a hundred thousand even in such complex geometries

Cross-axis adaptation improves 3D vestibulo-ocular reflex alignment during chronic stimulation via a head-mounted multichannel vestibular prosthesis

Science.gov (United States)

Dai, Chenkai; Fridman, Gene Y.; Chiang, Bryce; Davidovics, Natan; Melvin, Thuy-Anh; Cullen, Kathleen E.; Della Santina, Charles C.

2012-01-01

By sensing three-dimensional (3D) head rotation and electrically stimulating the three ampullary branches of a vestibular nerve to encode head angular velocity, a multichannel vestibular prosthesis (MVP) can restore vestibular sensation to individuals disabled by loss of vestibular hair cell function. However, current spread to afferent fibers innervating non-targeted canals and otolith endorgans can distort the vestibular nerve activation pattern, causing misalignment between the perceived and actual axis of head rotation. We hypothesized that over time, central neural mechanisms can adapt to correct this misalignment. To test this, we rendered five chinchillas vestibular-deficient via bilateral gentamicin treatment and unilaterally implanted them with a head mounted MVP. Comparison of 3D angular vestibulo-ocular reflex (aVOR) responses during 2 Hz, 50°/s peak horizontal sinusoidal head rotations in darkness on the first, third and seventh days of continual MVP use revealed that eye responses about the intended axis remained stable (at about 70% of the normal gain) while misalignment improved significantly by the end of one week of prosthetic stimulation. A comparable time course of improvement was also observed for head rotations about the other two semicircular canal axes and at every stimulus frequency examined (0.2–5 Hz). In addition, the extent of disconjugacy between the two eyes progressively improved during the same time window. These results indicate that the central nervous system rapidly adapts to multichannel prosthetic vestibular stimulation to markedly improve 3D aVOR alignment within the first week after activation. Similar adaptive improvements are likely to occur in other species, including humans. PMID:21374081

Improving our legacy: Incorporation of adaptive management into state wildlife action plans

Science.gov (United States)

Fontaine, J.J.

2011-01-01

The loss of biodiversity is a mounting concern, but despite numerous attempts there are few large scale conservation efforts that have proven successful in reversing current declines. Given the challenge of biodiversity conservation, there is a need to develop strategic conservation plans that address species declines even with the inherent uncertainty in managing multiple species in complex environments. In 2002, the State Wildlife Grant program was initiated to fulfill this need, and while not explicitly outlined by Congress follows the fundamental premise of adaptive management, 'Learning by doing'. When action is necessary, but basic biological information and an understanding of appropriate management strategies are lacking, adaptive management enables managers to be proactive in spite of uncertainty. However, regardless of the strengths of adaptive management, the development of an effective adaptive management framework is challenging. In a review of 53 State Wildlife Action Plans, I found a keen awareness by planners that adaptive management was an effective method for addressing biodiversity conservation, but the development and incorporation of explicit adaptive management approaches within each plan remained elusive. Only ???25% of the plans included a framework for how adaptive management would be implemented at the project level within their state. There was, however, considerable support across plans for further development and implementation of adaptive management. By furthering the incorporation of adaptive management principles in conservation plans and explicitly outlining the decision making process, states will be poised to meet the pending challenges to biodiversity conservation. ?? 2010 .

Analysis of farm performance in Europe under different climate and management conditions to improve understanding of adaptive capacity

NARCIS (Netherlands)

Reidsma, P.; Ewert, F.; Oude Lansink, A.

2007-01-01

The aim of this paper is to improve understanding of the adaptive capacity of European agriculture to climate change. Extensive data on farm characteristics of individual farms from the Farm Accountancy Data Network (FADN) have been combined with climatic and socio-economic data to analyze the

Adapting the mini mental status to the context of the West-Indies.

Science.gov (United States)

Godaert, Lidvine; Godard-Sebillotte, Claire; Bousquet, Lionel; Devouche, Emmanuel; Hugonot-Diener, Laurence; Nuissier, Joëlle; Triboulet, Frank; Fanon, Jean-Luc

2017-03-01

The mini mental state examination (MMSE) has become a benchmark for the screening and follow-up of cognitive impairment. The numerous translations of the MMS into other languages attest to its popularity. Clinical practice suggests that the consensual French version from the Greco (Groupe de réflexion sur les évaluations cognitives - Research working group for cognitive assessment) is not adapted to the West-Indies population because of the low socio-economic level and the widespread use of the Creole language among the elderly population. Modification of certain items by a multidisciplinary committee made it possible to adapt the instrument to the Creole culture. This procedure increases comprehension of the instrument, and should lead to improved detection of cognitive impairment in the West-Indies.

Adaptive Tutorials Versus Web-Based Resources in Radiology: A Mixed Methods Comparison of Efficacy and Student Engagement.

Science.gov (United States)

Wong, Vincent; Smith, Ariella J; Hawkins, Nicholas J; Kumar, Rakesh K; Young, Noel; Kyaw, Merribel; Velan, Gary M

2015-10-01

Diagnostic imaging is under-represented in medical curricula globally. Adaptive tutorials, online intelligent tutoring systems that provide a personalized learning experience, have the potential to bridge this gap. However, there is limited evidence of their effectiveness for learning about diagnostic imaging. We performed a randomized mixed methods crossover trial to determine the impact of adaptive tutorials on perceived engagement and understanding of the appropriate use and interpretation of common diagnostic imaging investigations. Although concurrently engaged in disparate blocks of study, 99 volunteer medical students (from years 1-4 of the 6-year program) were randomly allocated to one of two groups. In the first arm of the trial on chest X-rays, one group received access to an adaptive tutorial, whereas the other received links to an existing peer-reviewed Web resource. These two groups crossed over in the second arm of the trial, which focused on computed tomography scans of the head, chest, and abdomen. At the conclusion of each arm of the trial, both groups completed an examination-style assessment, comprising questions both related and unrelated to the topics covered by the relevant adaptive tutorial. Online questionnaires were used to evaluate student perceptions of both learning resources. In both arms of the trial, the group using adaptive tutorials obtained significantly higher assessment scores than controls. This was because of higher assessment scores by senior students in the adaptive tutorial group when answering questions related to topics covered in those tutorials. Furthermore, students indicated significantly better engagement with adaptive tutorials than the Web resource and rated the tutorials as a significantly more valuable tool for learning. Medical students overwhelmingly accept adaptive tutorials for diagnostic imaging. The tutorials significantly improve the understanding of diagnostic imaging by senior students. Crown Copyright �

Cellular Adaptation: Culture conditions of R. opacus and bioflotation of apatite and quartz

Directory of Open Access Journals (Sweden)

Antonio Gutiérrez Merma

Full Text Available Abstract It is well known that the culture conditions of microorganisms may affect their surface properties, zeta potential and hydrophobicity via the modification of the cell wall functional groups or metabolic products. The R. opacus bacteria strain was separately adapted to the presence of apatite and quartz, after which a cellular adaptation procedure was developed by repeated sub-culturing with a successive increase in the mineral content. Zeta potential, surface tension, FTIR and microflotation studies were used to evaluate the behavior of the cells that were developed under defined culture conditions. The cellular adaptation induced a modification of the bacterial surface charge. The FTIR results showed a modification of its functional groups. The surface tension results suggested that longer growing time promoted a higher production of metabolites. The use of mineral-adapted cells promoted an improvement in the flotability of both minerals, but it was more significant for apatite flotation. Additionally, the mineral flotability remained unchanged when the cells developed under a longer culture time. Nevertheless, there was a reduction in the surface tension.

Collective motion in animal groups from a neurobiological perspective: the adaptive benefits of dynamic sensory loads and selective attention.

Science.gov (United States)

Lemasson, B H; Anderson, J J; Goodwin, R A

2009-12-21

We explore mechanisms associated with collective animal motion by drawing on the neurobiological bases of sensory information processing and decision-making. The model uses simplified retinal processes to translate neighbor movement patterns into information through spatial signal integration and threshold responses. The structure provides a mechanism by which individuals can vary their sets of influential neighbors, a measure of an individual's sensory load. Sensory loads are correlated with group order and density, and we discuss their adaptive values in an ecological context. The model also provides a mechanism by which group members can identify, and rapidly respond to, novel visual stimuli.

The Effectiveness of Transactional Analysis Group-counseling on the Improvement of Couples’ Family Functioning

Directory of Open Access Journals (Sweden)

Ghorban Ali Yahyaee

2015-06-01

Full Text Available Background & Aims of the Study: Family functioning is among the most important factors ensuring the mental health of family members. Disorder or disturbance in family functioning would cause many psychological problems for family members. Current study intended to examine the effectiveness of transactional analysis group counseling on the improvement of couple's family functioning. Materials & Methods: The design of the study is as semi experimental research with pretest and posttest with follow up and control group. Statistical population consists all couples referring to the psychological and counseling centers of Rasht city in 2012. Samples were selected at first by available sampling method and after completing family assessment  device, and obtaining score for enter to research, were placement using random sampling method in two experimental and control groups (N = 8 couples per group. The experimental group participated in 12 sessions of group counseling based on transactional analysis and control group received no intervention. The gathered data were analyzed using covariance analysis. Results: The results show that there are significant differences between the pre-test and post test scores of the experimental group. This difference is significant at the level of 0.05. Therefore it seems that transactional group therapy improved the dimensions of family functioning in couples. Conclusions: The results indicated that transactional analysis group counseling can improve the family functioning and use this approach to working with couples is recommended.

Quantifying the Adaptive Cycle.

Directory of Open Access Journals (Sweden)

David G Angeler

Full Text Available The adaptive cycle was proposed as a conceptual model to portray patterns of change in complex systems. Despite the model having potential for elucidating change across systems, it has been used mainly as a metaphor, describing system dynamics qualitatively. We use a quantitative approach for testing premises (reorganisation, conservatism, adaptation in the adaptive cycle, using Baltic Sea phytoplankton communities as an example of such complex system dynamics. Phytoplankton organizes in recurring spring and summer blooms, a well-established paradigm in planktology and succession theory, with characteristic temporal trajectories during blooms that may be consistent with adaptive cycle phases. We used long-term (1994-2011 data and multivariate analysis of community structure to assess key components of the adaptive cycle. Specifically, we tested predictions about: reorganisation: spring and summer blooms comprise distinct community states; conservatism: community trajectories during individual adaptive cycles are conservative; and adaptation: phytoplankton species during blooms change in the long term. All predictions were supported by our analyses. Results suggest that traditional ecological paradigms such as phytoplankton successional models have potential for moving the adaptive cycle from a metaphor to a framework that can improve our understanding how complex systems organize and reorganize following collapse. Quantifying reorganization, conservatism and adaptation provides opportunities to cope with the intricacies and uncertainties associated with fast ecological change, driven by shifting system controls. Ultimately, combining traditional ecological paradigms with heuristics of complex system dynamics using quantitative approaches may help refine ecological theory and improve our understanding of the resilience of ecosystems.

Integrating adaptive governance and participatory multicriteria methods: a framework for climate adaptation governance

NARCIS (Netherlands)

Munaretto, S.; Siciliano, G.; Turvani, M.

2014-01-01

Climate adaptation is a dynamic social and institutional process where the governance dimension is receiving growing attention. Adaptive governance is an approach that promises to reduce uncertainty by improving the knowledge base for decision making. As uncertainty is an inherent feature of climate

Frequency Adaptability and Waveform Design for OFDM Radar Space-Time Adaptive Processing

Energy Technology Data Exchange (ETDEWEB)

Sen, Satyabrata [ORNL; Glover, Charles Wayne [ORNL

2012-01-01

We propose an adaptive waveform design technique for an orthogonal frequency division multiplexing (OFDM) radar signal employing a space-time adaptive processing (STAP) technique. We observe that there are inherent variabilities of the target and interference responses in the frequency domain. Therefore, the use of an OFDM signal can not only increase the frequency diversity of our system, but also improve the target detectability by adaptively modifying the OFDM coefficients in order to exploit the frequency-variabilities of the scenario. First, we formulate a realistic OFDM-STAP measurement model considering the sparse nature of the target and interference spectra in the spatio-temporal domain. Then, we show that the optimal STAP-filter weight-vector is equal to the generalized eigenvector corresponding to the minimum generalized eigenvalue of the interference and target covariance matrices. With numerical examples we demonstrate that the resultant OFDM-STAP filter-weights are adaptable to the frequency-variabilities of the target and interference responses, in addition to the spatio-temporal variabilities. Hence, by better utilizing the frequency variabilities, we propose an adaptive OFDM-waveform design technique, and consequently gain a significant amount of STAP-performance improvement.

Behavioral Adaptation and Acceptance

NARCIS (Netherlands)

Martens, M.H.; Jenssen, G.D.

2012-01-01

One purpose of Intelligent Vehicles is to improve road safety, throughput, and emissions. However, the predicted effects are not always as large as aimed for. Part of this is due to indirect behavioral changes of drivers, also called behavioral adaptation. Behavioral adaptation (BA) refers to

The neural response properties and cortical organization of a rapidly adapting muscle sensory group response that overlaps with the frequencies that elicit the kinesthetic illusion.

Science.gov (United States)

Marasco, Paul D; Bourbeau, Dennis J; Shell, Courtney E; Granja-Vazquez, Rafael; Ina, Jason G

2017-01-01

Kinesthesia is the sense of limb movement. It is fundamental to efficient motor control, yet its neurophysiological components remain poorly understood. The contributions of primary muscle spindles and cutaneous afferents to the kinesthetic sense have been well studied; however, potential contributions from muscle sensory group responses that are different than the muscle spindles have not been ruled out. Electrophysiological recordings in peripheral nerves and brains of male Sprague Dawley rats with a degloved forelimb preparation provide evidence of a rapidly adapting muscle sensory group response that overlaps with vibratory inputs known to generate illusionary perceptions of limb movement in humans (kinesthetic illusion). This group was characteristically distinct from type Ia muscle spindle fibers, the receptor historically attributed to limb movement sensation, suggesting that type Ia muscle spindle fibers may not be the sole carrier of kinesthetic information. The sensory-neural structure of muscles is complex and there are a number of possible sources for this response group; with Golgi tendon organs being the most likely candidate. The rapidly adapting muscle sensory group response projected to proprioceptive brain regions, the rodent homolog of cortical area 3a and the second somatosensory area (S2), with similar adaption and frequency response profiles between the brain and peripheral nerves. Their representational organization was muscle-specific (myocentric) and magnified for proximal and multi-articulate limb joints. Projection to proprioceptive brain areas, myocentric representational magnification of muscles prone to movement error, overlap with illusionary vibrational input, and resonant frequencies of volitional motor unit contraction suggest that this group response may be involved with limb movement processing.

An adaptive sampling method for variable-fidelity surrogate models using improved hierarchical kriging

Science.gov (United States)

Hu, Jiexiang; Zhou, Qi; Jiang, Ping; Shao, Xinyu; Xie, Tingli

2018-01-01

Variable-fidelity (VF) modelling methods have been widely used in complex engineering system design to mitigate the computational burden. Building a VF model generally includes two parts: design of experiments and metamodel construction. In this article, an adaptive sampling method based on improved hierarchical kriging (ASM-IHK) is proposed to refine the improved VF model. First, an improved hierarchical kriging model is developed as the metamodel, in which the low-fidelity model is varied through a polynomial response surface function to capture the characteristics of a high-fidelity model. Secondly, to reduce local approximation errors, an active learning strategy based on a sequential sampling method is introduced to make full use of the already required information on the current sampling points and to guide the sampling process of the high-fidelity model. Finally, two numerical examples and the modelling of the aerodynamic coefficient for an aircraft are provided to demonstrate the approximation capability of the proposed approach, as well as three other metamodelling methods and two sequential sampling methods. The results show that ASM-IHK provides a more accurate metamodel at the same simulation cost, which is very important in metamodel-based engineering design problems.

Study on Adaptive Slid Mode Controller for Improving Handling Stability of Motorized Electric Vehicles

Directory of Open Access Journals (Sweden)

LiQiang Jin

2014-01-01

Full Text Available An adaptive slid mode controller was established for improving the handling stability of motorized electric vehicle (MEV. First and foremost, the structure and advantages of electric vehicle driven by in-wheel motors will be provided. Then, an ideal cornering model of vehicles will be brought and analyzed, after which a method to estimate side-slip angle was also proposed and three typical sensors were used in the theory. Besides, an idea for the recognition of road adhesion coefficient was derived based on MEV platform, which will be helpful for better control performances. Finally, the scheme of control method was given and some typical tests for observing handling properties were implemented based on Simulink and Carsim software. With the outcomes from the experiments, which vividly showed the merits of the controller, one can come to a conclusion that MEV that equips with the adaptive slid mode controller always enjoys better handling performances than the one without control. Furthermore, the controller researched is friendly to the real-time working conditions, which will hold practical values in the future.

Coherent optical adaptive technique improves the spatial resolution of STED microscopy in thick samples

Science.gov (United States)

Yan, Wei; Yang, Yanlong; Tan, Yu; Chen, Xun; Li, Yang; Qu, Junle; Ye, Tong

2018-01-01

Stimulated emission depletion microscopy (STED) is one of far-field optical microscopy techniques that can provide sub-diffraction spatial resolution. The spatial resolution of the STED microscopy is determined by the specially engineered beam profile of the depletion beam and its power. However, the beam profile of the depletion beam may be distorted due to aberrations of optical systems and inhomogeneity of specimens’ optical properties, resulting in a compromised spatial resolution. The situation gets deteriorated when thick samples are imaged. In the worst case, the sever distortion of the depletion beam profile may cause complete loss of the super resolution effect no matter how much depletion power is applied to specimens. Previously several adaptive optics approaches have been explored to compensate aberrations of systems and specimens. However, it is hard to correct the complicated high-order optical aberrations of specimens. In this report, we demonstrate that the complicated distorted wavefront from a thick phantom sample can be measured by using the coherent optical adaptive technique (COAT). The full correction can effectively maintain and improve the spatial resolution in imaging thick samples. PMID:29400356

Improvement of group collapsing in TRANSX code

International Nuclear Information System (INIS)

Jeong, Hyun Tae; Kim, Young Cheol; Kim, Young In; Kim, Young Kyun

1996-07-01

A cross section generating and processing computer code TRANSX version 2.15 in the K-CORE system, being developed by the KAERI LMR core design technology development team produces various cross section input files appropriated for flux calculation options from the cross section library MATXS. In this report, a group collapsing function of TRANSX has been improved to utilize the zone averaged flux file RZFLUX written in double precision as flux weighting functions. As a result, an iterative calculation system using double precision RZFLUX consisting of the cross section data library file MATXS, the effective cross section producing and processing code TRANSX, and the transport theory calculation code TWODANT has been set up and verified through a sample model calculation. 4 refs. (Author)

Dynamic Difficulty Adaptation for Heterogeneously Skilled Player Groups in Multiplayer Collaborative Games

OpenAIRE

Greciano, Miguel Cristian

2016-01-01

This work focuses on the combination of two key concepts: Dynamic Difficulty Adjustment/Adaptation (video games adapting their difficulty according to the in-game performance of players, making themselves easier if the player performs poorly or more difficult if the player performs well) and Collaborative Multiplayer Games (video games where two or more human players work together to achieve a common goal). It considers and analyzes the challenges, potential and possibilities of Dynamic Diffi...

An adaptation method to improve secret key rates of time-frequency QKD in atmospheric turbulence channels

Science.gov (United States)

Sun, Xiaole; Djordjevic, Ivan B.; Neifeld, Mark A.

2016-03-01

Free-space optical (FSO) channels can be characterized by random power fluctuations due to atmospheric turbulence, which is known as scintillation. Weak coherent source based FSO quantum key distribution (QKD) systems suffer from the scintillation effect because during the deep channel fading the expected detection rate drops, which then gives an eavesdropper opportunity to get additional information about protocol by performing photon number splitting (PNS) attack and blocking single-photon pulses without changing QBER. To overcome this problem, in this paper, we study a large-alphabet QKD protocol, which is achieved by using pulse-position modulation (PPM)-like approach that utilizes the time-frequency uncertainty relation of the weak coherent photon state, called here TF-PPM-QKD protocol. We first complete finite size analysis for TF-PPM-QKD protocol to give practical bounds against non-negligible statistical fluctuation due to finite resources in practical implementations. The impact of scintillation under strong atmospheric turbulence regime is studied then. To overcome the secure key rate performance degradation of TF-PPM-QKD caused by scintillation, we propose an adaptation method for compensating the scintillation impact. By changing source intensity according to the channel state information (CSI), obtained by classical channel, the adaptation method improves the performance of QKD system with respect to the secret key rate. The CSI of a time-varying channel can be predicted using stochastic models, such as autoregressive (AR) models. Based on the channel state predictions, we change the source intensity to the optimal value to achieve a higher secret key rate. We demonstrate that the improvement of the adaptation method is dependent on the prediction accuracy.

Communicating climate change adaptation information using web-based platforms

Directory of Open Access Journals (Sweden)

E. Karali

2017-07-01

Full Text Available To facilitate progress in climate change adaptation policy and practice, it is important not only to ensure the production of accurate, comprehensive and relevant information, but also the easy, timely and affordable access to it. This can contribute to better-informed decisions and improve the design and implementation of adaptation policies and other relevant initiatives. Web-based platforms can play an important role in communicating and distributing data, information and knowledge that become constantly available, reaching out to a large group of potential users. Indeed in the last decade there has been an extensive increase in the number of platforms developed for this purpose in many fields including climate change adaptation. This short paper concentrates on the web-based adaptation platforms developed in Europe. It provides an overview of the recently emerged landscape, examines the basic characteristics of a set of platforms that operate at national, transnational and European level, and discusses some of the key challenges related to their development, maintenance and overall management. Findings presented in this short paper are discussed in greater detailed in the Technical Report of the European Environment Agency Overview of climate change adaptation platforms in Europe.

Communicating climate change adaptation information using web-based platforms

Science.gov (United States)

Karali, Eleni; Mattern, Kati

2017-07-01

To facilitate progress in climate change adaptation policy and practice, it is important not only to ensure the production of accurate, comprehensive and relevant information, but also the easy, timely and affordable access to it. This can contribute to better-informed decisions and improve the design and implementation of adaptation policies and other relevant initiatives. Web-based platforms can play an important role in communicating and distributing data, information and knowledge that become constantly available, reaching out to a large group of potential users. Indeed in the last decade there has been an extensive increase in the number of platforms developed for this purpose in many fields including climate change adaptation. This short paper concentrates on the web-based adaptation platforms developed in Europe. It provides an overview of the recently emerged landscape, examines the basic characteristics of a set of platforms that operate at national, transnational and European level, and discusses some of the key challenges related to their development, maintenance and overall management. Findings presented in this short paper are discussed in greater detailed in the Technical Report of the European Environment Agency Overview of climate change adaptation platforms in Europe.

Metabolic adaptations of skeletal muscle to voluntary wheel running exercise in hypertensive heart failure rats

DEFF Research Database (Denmark)

Schultz, R L; Kullman, E L; Waters, Ryan

2013-01-01

SHHF and Wistar-Furth (WF) rats were randomized to sedentary (SHHFsed and WFsed) and exercise groups (SHHFex and WFex). The exercise groups had access to running wheels from 6-22 months of age. Hindlimb muscles were obtained for metabolic measures that included mitochondrial enzyme function...... robust amounts of aerobic activity, voluntary wheel running exercise was not sufficiently intense to improve the oxidative capacity of skeletal muscle in adult SHHF animals, indicating an inability to compensate for declining heart function by improving peripheral oxidative adaptations in the skeletal...

Effectiveness of Cognitive and Transactional Analysis Group Therapy on Improving Conflict-Solving Skill

Directory of Open Access Journals (Sweden)

Bahram A. Ghanbari-Hashemabadi

2012-03-01

Full Text Available Background: Today, learning the communication skills such as conflict solving is very important. The purpose of the present study was to investigate the efficiency of cognitive and transactional analysis group therapy on improving the conflict-solving skill.Materials and Method: This study is an experimental study with pretest-posttest and control group. Forty-five clients who were referring to the counseling and psychological services center of Ferdowsi University of Mashhad were chosen based on screening method. In addition, they were randomly divided into three equal groups: control group (15 participants, cognitive experimental group (15 participants and transactional analysis group (15 participants. Conflict-solving questionnaire was used to collect data and the intervention methods were cognitive and transactional analysis group therapy that was administrated during 8 weekly two-hour sessions. Mean and standard deviation were used for data analysis in the descriptive level and One-Way ANOVA method was used at the inference level.Results: The results of the study suggest that the conflict-solving skills in the two experimental groups were significantly increased. Conclusion: The finding of this research is indicative of the fact that both cognitive and transactional analysis group therapy could be an effective intervention for improving conflict-solving skills

Traveling waves and the renormalization group improvedBalitsky-Kovchegov equation

Energy Technology Data Exchange (ETDEWEB)

Enberg, Rikard

2006-12-01

I study the incorporation of renormalization group (RG)improved BFKL kernels in the Balitsky-Kovchegov (BK) equation whichdescribes parton saturation. The RG improvement takes into accountimportant parts of the next-to-leading and higher order logarithmiccorrections to the kernel. The traveling wave front method for analyzingthe BK equation is generalized to deal with RG-resummed kernels,restricting to the interesting case of fixed QCD coupling. The resultsshow that the higher order corrections suppress the rapid increase of thesaturation scale with increasing rapidity. I also perform a "diffusive"differential equation approximation, which illustrates that someimportant qualitative properties of the kernel change when including RGcorrections.

Enhancing Student Adaption to a Case Based Learning Environment

DEFF Research Database (Denmark)

Jensen, Lars Peter

2010-01-01

these at the end of the semester, showing the development of the student in terms of adapting to the learning model. The idea will be explained more closely in the final paper. RESEARCH METHOD The research part of the experiment was carried out as action research, as the teacher of the course in the same time......INTRODUCTION Since Aalborg University (AAU) was started it has been using an educational model, where Problem Based Learning is the turning point. Each semester the students on the Engineering Educations form groups of 3-6 persons, which uses half of the study time within the semester to solve......) in groups. It appeared to be difficult for the students to adapt to two different PBL approaches at the same time, and with the project being the most popular the learning outcome of the case studies was not satisfactory after the first semester, but improved on the following semesters. In 2009...

[Oral mucosa reaction in patients adapting to removable dentures].

Science.gov (United States)

Iordanishvili, A K; Soldatova, L N; Pihur, O L; Mihajlova, E S; Peremyshlenko, A S; Soldatov, V S

Oral mucosa reaction of prosthetic bed to the removable acrylic dentures was evaluated in 43 patients (12 male and 31 female) aged 56-69 years with partial and full teeth loss in one or both jaws. Patients of the first (control) group (17 patients) were not using additional tools improving fixation of the removable dentures during adaptation period, while patients of the second (main) group (26 patients) used Corega cream for dentures fixation for 30 days follow-up. Oral mucosa assessment was carried out on 3-4 and 28-30 day of dentures use by 3 end points: pain syndrome, moisture level, inflammation of a prosthetic bed. The results proved Corega cream to improve prosthetic bed mucosa condition reducing inflammatory response to polymeric materials of removable dentures basis.

Interventions to improve physical activity among socioeconomically disadvantaged groups: an umbrella review.

Science.gov (United States)

Craike, Melinda; Wiesner, Glen; Hilland, Toni A; Bengoechea, Enrique Garcia

2018-05-15

People from socioeconomically disadvantaged population groups are less likely to be physically active and more likely to experience adverse health outcomes than those who are less disadvantaged. In this umbrella review we examined across all age groups, (1) the effectiveness of interventions to improve physical activity among socioeconomically disadvantaged groups, (2) the characteristics of effective interventions, and (3) directions for future research. PubMed/MEDLINE and Scopus were searched up to May 2017 to identify systematic reviews reporting physical activity interventions in socioeconomically disadvantaged populations or sub-groups. Two authors independently conducted study screening and selection, data extraction (one author, with data checked by two others) and assessment of methodological quality using the 'Assessment of Multiple Systematic Reviews' scale. Results were synthesized narratively. Seventeen reviews met our inclusion criteria, with only 5 (30%) reviews being assessed as high quality. Seven (41%) reviews focused on obesity prevention and an additional four focused on multiple behavioural outcomes. For pre school children, parent-focused, group-based interventions were effective in improving physical activity. For children, school-based interventions and policies were effective; few studies focused on adolescents and those that did were generally not effective; for adults, there was mixed evidence of effectiveness but characteristics such as group-based interventions and those that focused on physical activity only were associated with effectiveness. Few studies focused on older adults. Across all ages, interventions that were more intensive tended to be more effective. Most studies reported short-term, rather than longer-term, outcomes and common methodological limitations included high probability of selection bias, low response rates, and high attrition. Interventions can be successful at improving physical activity among children from

An improved contrast enhancement algorithm for infrared images based on adaptive double plateaus histogram equalization

Science.gov (United States)

Li, Shuo; Jin, Weiqi; Li, Li; Li, Yiyang

2018-05-01

Infrared thermal images can reflect the thermal-radiation distribution of a particular scene. However, the contrast of the infrared images is usually low. Hence, it is generally necessary to enhance the contrast of infrared images in advance to facilitate subsequent recognition and analysis. Based on the adaptive double plateaus histogram equalization, this paper presents an improved contrast enhancement algorithm for infrared thermal images. In the proposed algorithm, the normalized coefficient of variation of the histogram, which characterizes the level of contrast enhancement, is introduced as feedback information to adjust the upper and lower plateau thresholds. The experiments on actual infrared images show that compared to the three typical contrast-enhancement algorithms, the proposed algorithm has better scene adaptability and yields better contrast-enhancement results for infrared images with more dark areas or a higher dynamic range. Hence, it has high application value in contrast enhancement, dynamic range compression, and digital detail enhancement for infrared thermal images.

Summary of presentation for research on social structure, agreement, and conflict in groups in extreme and isolated environments

Science.gov (United States)

1990-01-01

Despite a vast amount of research, little is known concerning the effect of group structure, and individuals' understanding of that structure, on conflict in Antarctic groups. The overall objective of the research discussed is to determine the interrelationships of group structure, social cognition, and group function and conflict in isolated and extreme environments. In the two decades following WWII, a large body of research focused on the physiological, psychological, and social psychological factors affecting the functioning of individuals and groups in a variety of extreme and isolated environments in both the Arctic and Antarctic. There are two primary reasons for further research of this type. First, Antarctic polar stations are considered to be natural laboratories for the social and behavioral sciences and provide an opportunity to address certain theoretical and empirical questions concerned with agreement and conflict in social groups in general and group behavior in extreme, isolated environments in particular. Recent advances in the analysis of social networks and intracultural variation have improved the methods and have shifted the theoretical questions. The research is motivated by three classes of questions: (1) What are the characteristics of the social relations among individuals working and living together in extreme and isolated environments?; (2) What do individuals understand about their group, how does that understanding develop, and how is it socially distributed?; and (3) What is the relationship between that understanding and the functioning of the social group? Answers to these questions are important if we are to advance our knowledge of how individuals and groups adapt to extreme environments. Second, although Antarctic winter-over candidates may be evaluated as qualified on the basis of individual characteristics, they may fail to adapt because of certain characteristics of the social group. Consequently, the ability of winter-over-groups

Science of adaptation to climate change and science for adaptation

Directory of Open Access Journals (Sweden)

Rob eSwart

2014-07-01

Full Text Available Adaptation to climate change has gained a prominent place next to mitigation on global, national and local policy agendas. However, while an abundance of adaptation strategies, plans and programmes have been developed, progress in turning these into action has been slow. The development of a sound knowledge basis to support adaptation globally is suggested to accelerate progress, but has lagged behind. The emphasis in both current and newly proposed programmes is very much on practice-oriented research with strong stakeholder participation. This paper supports such practice-oriented research, but argues that this is insufficient to support adaptation policy and practice in a productive manner. We argue that there is not only a need for science for adaptation, but also a science of adaptation. The paper argues that participatory, practice-oriented research is indeed essential, but has to be complemented by and connected to more fundamental inquiry and concept development, which takes into account knowledge that has been developed in disciplinary sciences and on issues other than climate change adaptation. At the same time, the level and method of participation in science for adaptation should be determined on the basis of the specific project context and goals. More emphasis on science of adaptation can lead to improved understanding of the conditions for successful science for adaptation.

Methods for improved growth of group III nitride buffer layers

Science.gov (United States)

Melnik, Yurity; Chen, Lu; Kojiri, Hidehiro

2014-07-15

Methods are disclosed for growing high crystal quality group III-nitride epitaxial layers with advanced multiple buffer layer techniques. In an embodiment, a method includes forming group III-nitride buffer layers that contain aluminum on suitable substrate in a processing chamber of a hydride vapor phase epitaxy processing system. A hydrogen halide or halogen gas is flowing into the growth zone during deposition of buffer layers to suppress homogeneous particle formation. Some combinations of low temperature buffers that contain aluminum (e.g., AlN, AlGaN) and high temperature buffers that contain aluminum (e.g., AlN, AlGaN) may be used to improve crystal quality and morphology of subsequently grown group III-nitride epitaxial layers. The buffer may be deposited on the substrate, or on the surface of another buffer. The additional buffer layers may be added as interlayers in group III-nitride layers (e.g., GaN, AlGaN, AlN).

Improved pulsed photoacoustic detection by means of an adapted filter

Science.gov (United States)

González, M.; Santiago, G.; Peuriot, A.; Slezak, V.; Mosquera, C.

2005-06-01

We present a numerical and experimental study of two adapted filters devised to the quantitative analysis of weak photoacoustic signals. The first one is a simple convolution-type one and the other is based on neural networks of the multilayer perceptron type. The theoretical signal used as one of the inputs in both filters is derived from the solution of the transient response of the acoustic cell modeled with a simple transmission-line analogue. The filters were tested numerically by using the theoretical signal corrupted with white noise. After 500 iterations it was possible to define an average error for the returned value of each filter. Since the neural network outperformed the convolution-type, we assessed its performance by measuring SF6 traces diluted in N2 and excited by tuned TEA CO2 laser. The results show the use of the neural network filter allows recovering a signal with poor signal-to-noise ratio without resorting to extensive averaging, thus reducing the acquisition time while improving the precision of the measurement.

Assessing the effectiveness and cost effectiveness of adaptive e-Learning to improve dietary behaviour: protocol for a systematic review

Directory of Open Access Journals (Sweden)

Michie Susan

2010-04-01

Full Text Available Abstract Background The composition of habitual diets is associated with adverse or protective effects on aspects of health. Consequently, UK public health policy strongly advocates dietary change for the improvement of population health and emphasises the importance of individual empowerment to improve health. A new and evolving area in the promotion of dietary behavioural change is e-Learning, the use of interactive electronic media to facilitate teaching and learning on a range of issues, including diet and health. The aims of this systematic review are to determine the effectiveness and cost-effectiveness of adaptive e-Learning for improving dietary behaviours. Methods/Design The research will consist of a systematic review and a cost-effectiveness analysis. Studies will be considered for the review if they are randomised controlled trials, involving participants aged 13 or over, which evaluate the effectiveness or efficacy of interactive software programmes for improving dietary behaviour. Primary outcome measures will be those related to dietary behaviours, including estimated intakes of energy, nutrients and dietary fibre, or the estimated number of servings per day of foods or food groups. Secondary outcome measures will be objective clinical measures that are likely to respond to changes in dietary behaviours, such as anthropometry or blood biochemistry. Knowledge, self-efficacy, intention and emotion will be examined as mediators of dietary behaviour change in order to explore potential mechanisms of action. Databases will be searched using a comprehensive four-part search strategy, and the results exported to a bibliographic database. Two review authors will independently screen results to identify potentially eligible studies, and will independently extract data from included studies, with any discrepancies at each stage settled by a third author. Standardised forms and criteria will be used. A descriptive analysis of included

The Effect of Adaptive Nonlinear Frequency Compression on Phoneme Perception.

Science.gov (United States)

Glista, Danielle; Hawkins, Marianne; Bohnert, Andrea; Rehmann, Julia; Wolfe, Jace; Scollie, Susan

2017-12-12

This study implemented a fitting method, developed for use with frequency lowering hearing aids, across multiple testing sites, participants, and hearing aid conditions to evaluate speech perception with a novel type of frequency lowering. A total of 8 participants, including children and young adults, participated in real-world hearing aid trials. A blinded crossover design, including posttrial withdrawal testing, was used to assess aided phoneme perception. The hearing aid conditions included adaptive nonlinear frequency compression (NFC), static NFC, and conventional processing. Enabling either adaptive NFC or static NFC improved group-level detection and recognition results for some high-frequency phonemes, when compared with conventional processing. Mean results for the distinction component of the Phoneme Perception Test (Schmitt, Winkler, Boretzki, & Holube, 2016) were similar to those obtained with conventional processing. Findings suggest that both types of NFC tested in this study provided a similar amount of speech perception benefit, when compared with group-level performance with conventional hearing aid technology. Individual-level results are presented with discussion around patterns of results that differ from the group average.

Improving the Grade Point Average of Our At-Risk Students: A Collaborative Group Action Research Approach.

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Saurino, Dan R.; Hinson, Kenneth; Bouma, Amy

This paper focuses on the use of a group action research approach to help student teachers develop strategies to improve the grade point average of at-risk students. Teaching interventions such as group work and group and individual tutoring were compared to teaching strategies already used in the field. Results indicated an improvement in the…

The neural response properties and cortical organization of a rapidly adapting muscle sensory group response that overlaps with the frequencies that elicit the kinesthetic illusion.

Directory of Open Access Journals (Sweden)

Paul D Marasco

Full Text Available Kinesthesia is the sense of limb movement. It is fundamental to efficient motor control, yet its neurophysiological components remain poorly understood. The contributions of primary muscle spindles and cutaneous afferents to the kinesthetic sense have been well studied; however, potential contributions from muscle sensory group responses that are different than the muscle spindles have not been ruled out. Electrophysiological recordings in peripheral nerves and brains of male Sprague Dawley rats with a degloved forelimb preparation provide evidence of a rapidly adapting muscle sensory group response that overlaps with vibratory inputs known to generate illusionary perceptions of limb movement in humans (kinesthetic illusion. This group was characteristically distinct from type Ia muscle spindle fibers, the receptor historically attributed to limb movement sensation, suggesting that type Ia muscle spindle fibers may not be the sole carrier of kinesthetic information. The sensory-neural structure of muscles is complex and there are a number of possible sources for this response group; with Golgi tendon organs being the most likely candidate. The rapidly adapting muscle sensory group response projected to proprioceptive brain regions, the rodent homolog of cortical area 3a and the second somatosensory area (S2, with similar adaption and frequency response profiles between the brain and peripheral nerves. Their representational organization was muscle-specific (myocentric and magnified for proximal and multi-articulate limb joints. Projection to proprioceptive brain areas, myocentric representational magnification of muscles prone to movement error, overlap with illusionary vibrational input, and resonant frequencies of volitional motor unit contraction suggest that this group response may be involved with limb movement processing.

Sparse EEG/MEG source estimation via a group lasso.

Directory of Open Access Journals (Sweden)

Michael Lim

Full Text Available Non-invasive recordings of human brain activity through electroencephalography (EEG or magnetoencelphalography (MEG are of value for both basic science and clinical applications in sensory, cognitive, and affective neuroscience. Here we introduce a new approach to estimating the intra-cranial sources of EEG/MEG activity measured from extra-cranial sensors. The approach is based on the group lasso, a sparse-prior inverse that has been adapted to take advantage of functionally-defined regions of interest for the definition of physiologically meaningful groups within a functionally-based common space. Detailed simulations using realistic source-geometries and data from a human Visual Evoked Potential experiment demonstrate that the group-lasso method has improved performance over traditional ℓ2 minimum-norm methods. In addition, we show that pooling source estimates across subjects over functionally defined regions of interest results in improvements in the accuracy of source estimates for both the group-lasso and minimum-norm approaches.

Adaptation to the digestion of nutrients of a starch diet or a non-starch polysaccharide diet in group-housed pregnant sows

NARCIS (Netherlands)

Peet-Schwering, van der C.M.C.; Kemp, B.; Hartog, den L.A.; Schrama, J.W.; Verstegen, M.W.A.

2002-01-01

A trial was conducted with twenty group-housed pregnant sows to study the adaptation in nutrient digestibility to a starch-rich diet or a diet with a high level of fermentable non-starch polysaccharides (NSP) during a time period of 6 weeks. The starch-rich diet was primarily composed of wheat, peas

Audiovisual cues benefit recognition of accented speech in noise but not perceptual adaptation.

Science.gov (United States)

Banks, Briony; Gowen, Emma; Munro, Kevin J; Adank, Patti

2015-01-01

Perceptual adaptation allows humans to recognize different varieties of accented speech. We investigated whether perceptual adaptation to accented speech is facilitated if listeners can see a speaker's facial and mouth movements. In Study 1, participants listened to sentences in a novel accent and underwent a period of training with audiovisual or audio-only speech cues, presented in quiet or in background noise. A control group also underwent training with visual-only (speech-reading) cues. We observed no significant difference in perceptual adaptation between any of the groups. To address a number of remaining questions, we carried out a second study using a different accent, speaker and experimental design, in which participants listened to sentences in a non-native (Japanese) accent with audiovisual or audio-only cues, without separate training. Participants' eye gaze was recorded to verify that they looked at the speaker's face during audiovisual trials. Recognition accuracy was significantly better for audiovisual than for audio-only stimuli; however, no statistical difference in perceptual adaptation was observed between the two modalities. Furthermore, Bayesian analysis suggested that the data supported the null hypothesis. Our results suggest that although the availability of visual speech cues may be immediately beneficial for recognition of unfamiliar accented speech in noise, it does not improve perceptual adaptation.

Prism adaptation improves postural imbalance in neglect patients

NARCIS (Netherlands)

Nijboer, Tanja C W; Olthoff, Liselot; Van der Stigchel, Stefan; Visser-Meily, Johanna M a

2014-01-01

Several studies have found a negative relation between neglect and postural imbalance. The aim of the current study was to investigate the influence of a single session of prism adaptation on balance [i.e. mediolateral and anteroposterior center of pressure (CoP)] and postural sway (i.e. mean

Adaptive polymeric nanomaterials utilizing reversible covalent and hydrogen bonding

Science.gov (United States)

Neikirk, Colin

Adaptive materials based on stimuli responsive and reversible bonding moieties are a rapidly developing area of materials research. Advances in supramolecular chemistry are now being adapted to novel molecular architectures including supramolecular polymers to allow small, reversible changes in molecular and nanoscale structure to affect large changes in macroscale properties. Meanwhile, dynamic covalent chemistry provides a complementary approach that will also play a role in the development of smart adaptive materials. In this thesis, we present several advances to the field of adaptive materials and also provide relevant insight to the areas of polymer nanocomposites and polymer nanoparticles. First, we have utilized the innate molecular recognition and binding capabilities of the quadruple hydrogen bonding group ureidopyrimidinone (UPy) to prepare supramolecular polymer nanocomposites based on supramolecular poly(caprolactone) which show improved mechanical properties, but also an increase in particle aggregation with nanoparticle UPy functionalization. We also present further insight into the relative effects of filler-filler, filler-matrix, and matrix-matrix interactions using a UPy side-chain functional poly(butyl acrylate). These nanocomposites have markedly different behavior depending on the amount of UPy sidechain functionality. Meanwhile, our investigations of reversible photo-response showed that coumarin functionality in polymer nanoparticles not only facilitates light mediated aggregation/dissociation behavior, but also provides a substantial overall reduction in particle size and improvement in nanoparticle stability for particles prepared by Flash NanoPrecipitation. Finally, we have combined these stimuli responsive motifs as a starting point for the development of multiresponsive adaptive materials. The synthesis of a library of multifunctional materials has provided a strong base for future research in this area, although our initial

Improvement of Detection of Hypoattenuation in Acute Ischemic Stroke in Unenhanced Computed Tomography Using an Adaptive Smoothing Filter

International Nuclear Information System (INIS)

Takahashi, N.; Lee, Y.; Tsai, D. Y.; Ishii, K.; Kinoshita, T.; Tamura, H.; K imura, M.

2008-01-01

Background: Much attention has been directed toward identifying early signs of cerebral ischemia on computed tomography (CT) images. Hypoattenuation of ischemic brain parenchyma has been found to be the most frequent early sign. Purpose: To evaluate the effect of a previously proposed adaptive smoothing filter for improving detection of parenchymal hypoattenuation of acute ischemic stroke on unenhanced CT images. Material and Methods: Twenty-six patients with parenchymal hypoattenuation and 49 control subjects without hypoattenuation were retrospectively selected in this study. The adaptive partial median filter (APMF) designed for improving detectability of hypoattenuation areas on unenhanced CT images was applied. Seven radiologists, including four certified radiologists and three radiology residents, indicated their confidence level regarding the presence (or absence) of hypoattenuation on CT images, first without and then with the APMF processed images. Their performances without and with the APMF processed images were evaluated by receiver operating characteristic (ROC) analysis. Results: The mean areas under the ROC curves (AUC) for all observers increased from 0.875 to 0.929 (P=0.002) when the radiologists observed with the APMF processed images. The mean sensitivity in the detection of hypoattenuation significantly improved, from 69% (126 of 182 observations) to 89% (151 of 182 observations), when employing the APMF (P=0.012). The specificity, however, was unaffected by the APMF (P=0.41). Conclusion: The APMF has the potential to improve the detection of parenchymal hypoattenuation of acute ischemic stroke on unenhanced CT images

[Studies on the changes of adaptation with children in the dental setting. The relationship between the changes of adaptation and various psychological tests].

Science.gov (United States)

Uchida, T; Mukai, Y; Sasa, R

1991-01-01

The purpose of this study was to discover the changes in the adaptation of children to the Dental setting, and to discover the relationship between the adaptation, and the personality of the child, the personality of the mother, as well as the relationship between the mother and child. The subjects were 60 two to six year old children and their mothers who visited at the Department of Pedodontics, School of Dentistry, Showa University. The results were as follows: 1) The changes of adaptation were classified in groups of four classes. Four groups: Continuous Adaptability (45.0%) Acquired Adaptability (18.3%) Continuous Inadaptability (16.7%) Extreme Inadaptability (20.0%) 2) The inadaptability groups (Continuous Inadaptability and Extreme Inadaptability) of the two to three year old children did not correlate to the change of adaptation and personality of the child, and the relationship between the mother and child. 3) The extreme inadaptability group with the four year old children showed a connection with the change of adaptation and the various Psychological Tests. Concerning personality, the children showed elements of "dependence" "retrogression" and "maladaptation to school (kindergarten)". Concerning the mother child relationship, there were elements of "anxiety" "dotage" "follow blindly" "disagreement". 4) Nobody showed extreme inadaptability in the group of five to six year old children. Continuous Inadaptability group with the five to six year old children showed scarcely any problems. 5) The Personality of mother did not correlate to the change of adaptation of children in the dental setting.

Helping General Physical Educators and Adapted Physical Educators Address the Office of Civil Rights Dear Colleague Guidance Letter: Part IV--Sport Groups

Science.gov (United States)

Lieberman, Lauren; Lucas, Mark; Jones, Jeffery; Humphreys, Dan; Cody, Ann; Vaughn, Bev; Storms, Tommie

2013-01-01

"Helping General Physical Educators and Adapted Physical Educators Address the Office of Civil Rights Dear Colleague Guidance Letter: Part IV--Sport Groups" provides the the following articles: (1) "Sport Programming Offered by Camp Abilities and the United States Association for Blind Athletes" (Lauren Lieberman and Mark…

Adaptation of a nursing home culture change research instrument for frontline staff quality improvement use.

Science.gov (United States)

Hartmann, Christine W; Palmer, Jennifer A; Mills, Whitney L; Pimentel, Camilla B; Allen, Rebecca S; Wewiorski, Nancy J; Dillon, Kristen R; Snow, A Lynn

2017-08-01

Enhanced interpersonal relationships and meaningful resident engagement in daily life are central to nursing home cultural transformation, yet these critical components of person-centered care may be difficult for frontline staff to measure using traditional research instruments. To address the need for easy-to-use instruments to help nursing home staff members evaluate and improve person-centered care, the psychometric method of cognitive-based interviewing was used to adapt a structured observation instrument originally developed for researchers and nursing home surveyors. Twenty-eight staff members from 2 Veterans Health Administration (VHA) nursing homes participated in 1 of 3 rounds of cognitive-based interviews, using the instrument in real-life situations. Modifications to the original instrument were guided by a cognitive processing model of instrument refinement. Following 2 rounds of cognitive interviews, pretesting of the revised instrument, and another round of cognitive interviews, the resulting set of 3 short instruments mirrored the concepts of the original longer instrument but were significantly easier for frontline staff to understand and use. Final results indicated frontline staff found the revised instruments feasible to use and clinically relevant in measuring and improving the lived experience of a changing culture. This article provides a framework for developing or adapting other measurement tools for frontline culture change efforts in nursing homes, in addition to reporting on a practical set of instruments to measure aspects of person-centered care. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Assessing Continuous Quality Improvement in Public Health: Adapting Lessons from Healthcare

Science.gov (United States)

Schwartz, Robert; Cohen, Joanna; Manson, Heather; Scott, Fran

2017-01-01

Context: Evidence of the effect of continuous quality improvement (CQI) in public health and valid tools to judge that such effects are not fully formed. Objective: The objective was to adapt and apply Shortell et al.'s (1998) four dimensions of CQI in an examination of a public health accountability and performance management initiative in Ontario, Canada. Methods: In total, 24 semi-structured, in-depth interviews were conducted with informants from public health units and the Ministry of Health and Long-Term Care. A web survey of public health managers in the province was also carried out. Results: A mix of facilitators and barriers was identified. Leadership and organizational cultures, conducive to CQI success were evident. However, limitations in performance measurement and managerial discretion were key barriers. Conclusion: The four dimensions of CQI provided insight into both facilitators and barriers of CQI adoption in public health. Future research should compare the outcomes of public health CQI initiatives to the framework's stated facilitators and barriers. PMID:28277203

Assessing Continuous Quality Improvement in Public Health: Adapting Lessons from Healthcare.

Science.gov (United States)

Price, Alex; Schwartz, Robert; Cohen, Joanna; Manson, Heather; Scott, Fran

2017-02-01

Evidence of the effect of continuous quality improvement (CQI) in public health and valid tools to judge that such effects are not fully formed. The objective was to adapt and apply Shortell et al.'s (1998) four dimensions of CQI in an examination of a public health accountability and performance management initiative in Ontario, Canada. In total, 24 semi-structured, in-depth interviews were conducted with informants from public health units and the Ministry of Health and Long-Term Care. A web survey of public health managers in the province was also carried out. A mix of facilitators and barriers was identified. Leadership and organizational cultures, conducive to CQI success were evident. However, limitations in performance measurement and managerial discretion were key barriers. The four dimensions of CQI provided insight into both facilitators and barriers of CQI adoption in public health. Future research should compare the outcomes of public health CQI initiatives to the framework's stated facilitators and barriers. Copyright © 2017 Longwoods Publishing.

Rift Valley fever dynamics in Senegal: a project for pro-active adaptation and improvement of livestock raising management

Directory of Open Access Journals (Sweden)

Murielle Lafaye

2013-11-01

Full Text Available The multi-disciplinary French project “Adaptation à la Fièvre de la Vallée du Rift” (AdaptFVR has concluded a 10-year constructive interaction between many scientists/partners involved with the Rift Valley fever (RVF dynamics in Senegal. The three targeted objectives reached were (i to produce - in near real-time - validated risk maps for parked livestock exposed to RVF mosquitoes/vectors bites; (ii to assess the impacts on RVF vectors from climate variability at different time-scales including climate change; and (iii to isolate processes improving local livestock management and animal health. Based on these results, concrete, pro-active adaptive actions were taken on site, which led to the establishment of a RVF early warning system (RVFews. Bulletins were released in a timely fashion during the project, tested and validated in close collaboration with the local populations, i.e. the primary users. Among the strategic, adaptive methods developed, conducted and evaluated in terms of cost/benefit analyses are the larvicide campaigns and the coupled bio-mathematical (hydrological and entomological model technologies, which are being transferred to the staff of the “Centre de Suivi Ecologique” (CSE in Dakar during 2013. Based on the results from the AdaptFVR project, other projects with similar conceptual and modelling approaches are currently being implemented, e.g. for urban and rural malaria and dengue in the French Antilles.

Adaptive Automation Design and Implementation

Science.gov (United States)

2015-09-17

with an automated system to a real-world adaptive au- tomation system implementation. There have been plenty of adaptive automation 17 Adaptive...of systems without increasing manpower requirements by allocating routine tasks to automated aids, improving safety through the use of au- tomated ...between intermediate levels of au- tomation , explicitly defining which human task a given level automates. Each model aids the creation and classification

[Relapse prevention group therapy for paedophiles: French adaptation].

Science.gov (United States)

Smith, J; Petibon, C

2005-01-01

Psychotherapy for sex offenders has only very recently started to develop in France. The French law on compulsory treatment for sex offenders was voted in 1998, and many mental health practitioners are not trained to treat such patients yet. In our ambulatory forensic consultation, sex offenders have been treated since 1992 and group psychotherapy has been offered to them since 1994. Our first therapeutic models were the North-American behavioural-cognitive therapy and Pithers' relapse prevention model. Behavioural-cognitive theory describes paedophilia as an acquired sexual preference maintained by positive reinforcement. Pithers (1990) considered that relapse only occurs in high-risk situations, and that high-risk situations always come after offence precursors. In North America, relapse prevention consists in helping paedophiles spot their high-risk situations and offence precursors, and enhance their skills to cope with such situations or to prevent them. Therapy programs were developed according to these models, aiming to help offenders develop such skills, ie empathy, social skills, cognitive restructuring, self-esteem, etc. Trying to apply these therapy programs in France, our team quickly realised that we would have to adapt them to French culture. On the one hand, behavioural-cognitive theory did not seem satisfactory enough in explaining paedophilic behaviour and paedophilic preference. On the other hand, behavioural-cognitive therapy made patients into children too much and increased resistance. Therapy based on programs seemed too rigid for French patients and therapists, and we often felt we were working on an issue that would have been much more accurate to work on a few sessions earlier, when this issue was spontaneously brought up by a patient. We believe change occurs all the more as issues are worked on at the right moment for the patient. Moreover, on a cultural point of view, we also realised the use of programs in psychotherapy was difficult to

Cultural adaptation of a cognitive-behavioural intervention to improve adherence to antiretroviral therapy among people living with HIV/AIDS in Zimbabwe: Nzira Itsva.

Science.gov (United States)

Bere, Tarisai; Nyamayaro, Primrose; Magidson, Jessica F; Chibanda, Dixon; Chingono, Alfred; Munjoma, Ronald; Macpherson, Kirsty; Ndhlovu, Chiratidzo Ellen; O'Cleirigh, Conall; Kidia, Khameer; Safren, Steven A; Abas, Melanie

2017-09-01

Few evidence-based interventions to improve adherence to antiretroviral therapy have been adapted for use in Africa. We selected, culturally adapted and tested the feasibility of a cognitive-behavioural intervention for adherence and for delivery in a clinic setting in Harare, Zimbabwe. The feasibility of the intervention was evaluated using a mixed-methods assessment, including ratings of provider fidelity of intervention delivery, and qualitative assessments of feasibility using individual semi-structured interviews with counsellors (n=4) and patients (n=15). The intervention was feasible and acceptable when administered to 42 patients and resulted in improved self-reported adherence in a subset of 15 patients who were followed up after 6months.

Adaptive Augmenting Control and Launch Vehicle Adaptive Control Flight Experiments

Data.gov (United States)

National Aeronautics and Space Administration — Researchers at NASA Armstrong are working to further the development of an adaptive augmenting control algorithm (AAC). The AAC was developed to improve the...

Molecular improvement of alfalfa for enhanced productivity and adaptability in a changing environment.

Science.gov (United States)

Singer, Stacy D; Hannoufa, Abdelali; Acharya, Surya

2017-10-18

Due to an expanding world population and increased buying power, the demand for ruminant products such as meat and milk is expected to grow substantially in coming years, and high levels of forage crop production will therefore be a necessity. Unfortunately, urbanization of agricultural land, intensive agricultural practices, and climate change are all predicted to limit crop production in the future, which means that the development of forage cultivars with improved productivity and adaptability will be essential. Because alfalfa (Medicago sativa L.) is one of the most widely cultivated perennial forage crops, it has been the target of much research in this field. In this review, we discuss progress that has been made towards the improvement of productivity, abiotic stress tolerance, and nutrient-use efficiency, as well as disease and pest resistance, in alfalfa using biotechnological techniques. Furthermore, we consider possible future priorities and avenues for attaining further enhancements in this crop as a means of contributing to the realization of food security in a changing environment. © 2017 John Wiley & Sons Ltd.

Psychological and socio-cultural adaptation of international journalism students in Russia: The role of communication skills in the adaptation process

Directory of Open Access Journals (Sweden)

Gladkova A.A.

2017-12-01

Full Text Available Background. The study of both Russian and international publications issued in the last twenty years revealed a significant gap in the number of studies examining adaptation (general living, psychological, socio-cultural, etc. in general, i.e., without regard to specific characteristics of the audience, and those describing adaptation of a particular group of people (specific age, ethnic, professional groups, etc.. Objective. The current paper aims to overcome this gap by offering a closer look at the adaptation processes of international journalism students at Russian universities, in particular, their psychological and socio-cultural types of adaptation. The question that interests us the most is how psychological and socio-cultural adaptation of international journalists to-be can be made easier and whether communication-oriented techniques can somehow facilitate this process. Design. In this paper, we provide an overview of current research analyzing adaptation from different angles, which is essential for creating a context for further narrower studies. Results. We discuss adaptation of journalism students in Russia, suggesting ways to make their adaptation in a host country easier and arguing that the development of communication skills can be important for successful adaptation to new living and learning conditions. Conclusion. We argue that there is a need for more detailed, narrow-focused research discussing the specifics of adaptation of different groups of people to a new environment (since we believe different people tend to adapt to new conditions in different ways as well as research outlining the role of communication competences in their adaptation processes.

Improving the performance of indicator groups for the identification of important areas for species conservation

DEFF Research Database (Denmark)

Larsen, Frank Wugt; Bladt, Jesper; Rahbek, Carsten

2007-01-01

Indicator groups may be important tools with which to guide the selection of networks of areas for conservation. Nevertheless, the literature provides little guidance as to what makes some groups of species more suitable than others to guide area selection. Using distributional data on all sub...... diversity by systematically varying the number of distinct genera and families within the indicator groups. We selected area networks based on the indicator groups and tested their ability to represent a set of species, which, in terms of species composition, is independent of the indicator group....... Increasing the proportion of threatened, endemic, and range-restricted species in the indicator groups improved effectiveness of the selected area networks; in particular it improved the effectiveness in representing other threatened and range-restricted species. In contrast increasing the proportion...

Listening to a non-native speaker: Adaptation and generalization

Science.gov (United States)

Clarke, Constance M.

2004-05-01

Non-native speech can cause perceptual difficulty for the native listener, but experience can moderate this difficulty. This study explored the perceptual benefit of a brief (approximately 1 min) exposure to foreign-accented speech using a cross-modal word matching paradigm. Processing speed was tracked by recording reaction times (RTs) to visual probe words following English sentences produced by a Spanish-accented speaker. In experiment 1, RTs decreased significantly over 16 accented utterances and by the end were equal to RTs to a native voice. In experiment 2, adaptation to one Spanish-accented voice improved perceptual efficiency for a new Spanish-accented voice, indicating that abstract properties of accented speech are learned during adaptation. The control group in Experiment 2 also adapted to the accented voice during the test block, suggesting adaptation can occur within two to four sentences. The results emphasize the flexibility of the human speech processing system and the need for a mechanism to explain this adaptation in models of spoken word recognition. [Research supported by an NSF Graduate Research Fellowship and the University of Arizona Cognitive Science Program.] a)Currently at SUNY at Buffalo, Dept. of Psych., Park Hall, Buffalo, NY 14260, cclarke2@buffalo.edu

Learning an EMG Controlled Game: Task-Specific Adaptations and Transfer.

Science.gov (United States)

van Dijk, Ludger; van der Sluis, Corry K; van Dijk, Hylke W; Bongers, Raoul M

2016-01-01

Video games that aim to improve myoelectric control (myogames) are gaining popularity and are often part of the rehabilitation process following an upper limb amputation. However, direct evidence for their effect on prosthetic skill is limited. This study aimed to determine whether and how myogaming improves EMG control and whether performance improvements transfer to a prosthesis-simulator task. Able-bodied right-handed participants (N = 28) were randomly assigned to 1 of 2 groups. The intervention group was trained to control a video game (Breakout-EMG) using the myosignals of wrist flexors and extensors. Controls played a regular Mario computer game. Both groups trained 20 minutes a day for 4 consecutive days. Before and after training, two tests were conducted: one level of the Breakout-EMG game, and grasping objects with a prosthesis-simulator. Results showed a larger increase of in-game accuracy for the Breakout-EMG group than for controls. The Breakout-EMG group moreover showed increased adaptation of the EMG signal to the game. No differences were found in using a prosthesis-simulator. This study demonstrated that myogames lead to task-specific myocontrol skills. Transfer to a prosthesis task is therefore far from easy. We discuss several implications for future myogame designs.

Transdiagnostic culturally adapted CBT with Farsi-speaking refugees: a pilot study.

Science.gov (United States)

Kananian, Schahryar; Ayoughi, Sarah; Farugie, Arieja; Hinton, Devon; Stangier, Ulrich

2017-01-01

Background : Approximately half of all asylum seekers suffer from trauma-related disorders requiring treatment, among them Posttraumatic Stress Disorder (PTSD), depression, anxiety, and somatic symptoms. There is a lack of easily accessible, low-threshold treatments taking the cultural background into account. Culturally Adapted CBT (CA CBT) is a well evaluated, transdiagnostic group intervention for refugees, using psychoeducation, meditation, and Yoga-like exercises. Objective: An uncontrolled pilot study with male Farsi-speaking refugees from Afghanistan and Iran was conducted to investigate feasibility with this ethnic group; a group for which no previous CBT trials have been reported. Method : The participants were nine Farsi-speaking, male refugees with M.I.N.I./DSM-IV diagnoses comprising PTSD, major depressive disorder, and anxiety disorders. Treatment components were adapted to the specific cultural framework of perception of symptoms, causes, ideas of healing, and local therapeutic processes. Before and after 12 weeks of treatment, the primary outcome was assessed using the General Health Questionnaire (GHQ-28). Secondary outcome measures were the Posttraumatic Checklist, Patient Health Questionnaire, Somatic Symptom Scale, World Health Organization Quality of Life Questionnaire (WHOQOL-BREF), Affective Style Questionnaire (ASQ), and Emotion Regulation Scale (ERS). Results : Seven participants completed treatment. In the completer analysis, improvements were found on almost all questionnaires. Large effect sizes were seen for the GHQ-28 ( d  = 2.0), WHOQOL-BREF scales ( d  = 1.0-2.3), ASQ tolerating subscale ( d  = 2.2), and ERS ( d  = 1.7). With respect to feasibility, cultural adaptation seemed to be a crucial means to promote effectiveness. Conclusion : CA CBT may reduce general psychopathological distress and improve quality of life. Improvement in emotion regulation strategies may mediate treatment effects. More support should be provided to

Heat adaptation towards improve survival of Bifidobacterium longum ...

African Journals Online (AJOL)

STORAGESEVER

2009-04-20

Apr 20, 2009 ... adaptation for 30 min and 85oC outlet temperature, high viability of 7.82 ± 0.30 Log CFU/g meeting the ... Japan) from the stock culture of Food Biotechnology and Functional ... The enumeration media was TPY agar (Scharlau Chemie S.A, ... outlet temperature is related to inactivation of critical sites.

Moving from rhetoric to reality: adapting Housing First for homeless individuals with mental illness from ethno-racial groups

Directory of Open Access Journals (Sweden)

Stergiopoulos Vicky

2012-10-01

Full Text Available Abstract Background The literature on interventions addressing the intersection of homelessness, mental illness and race is scant. The At Home/Chez Soi research demonstration project is a pragmatic field trial investigating a Housing First intervention for homeless individuals with mental illness in five cities across Canada. A unique focus at the Toronto site has been the development and implementation of a Housing First Ethno-Racial Intensive Case Management (HF ER-ICM arm of the trial serving 100 homeless individuals with mental illness from ethno-racial groups. The HF ER-ICM program combines the Housing First approach with an anti-racism/anti-oppression framework of practice. This paper presents the findings of an early implementation and fidelity evaluation of the HF ER-ICM program, supplemented by participant narrative interviews to inform our understanding of the HF ER-ICM program theory. Methods Descriptive statistics are used to describe HF ER-ICM participant characteristics. Focus group interviews, key informant interviews and fidelity assessments were conducted between November 2010 and January 2011, as part of the program implementation evaluation. In-depth qualitative interviews with HF ER-ICM participants and control group members were conducted between March 2010 and June 2011. All qualitative data were analysed using grounded theory methodology. Results The target population had complex health and social service needs. The HF ER-ICM program enjoyed a high degree of fidelity to principles of both anti-racism/anti-oppression practice and Housing First and comprehensively addressed the housing, health and sociocultural needs of participants. Program providers reported congruence of these philosophies of practice, and program participants valued the program and its components. Conclusions Adapting Housing First with anti-racism/anti-oppression principles offers a promising approach to serving the diverse needs of homeless people from

HEALTH TECHNOLOGIES FOR INCREASING ADAPTIVE CAPABILITIESOF PREGNANT WOMEN

Directory of Open Access Journals (Sweden)

T. S. Krivonogova

2014-01-01

trimester of pregnancy it were identified lower rates of lipid peroxidation compared with those observed during pregnancy in the usual way (control group, which corresponded to women's health indicators. At the same time in the third trimester of pregnancy it was found a significant increase in the concentration of vitamin E in the blood serum of women from the main group compared to the control group (p < 0.001.The complex of breathing exercises and aqua-gymnastics have a stimulating effect on metabolism, thereby it normalizes the level of antioxidant enzyme. During the breathing exercises process a direct correlation was revealed between the level of MDA and cortisol (r = 0.67 and between vitamin E and insulin (r = 0.61. These data allow suggesting the prospects for determining the concentration of MDA and vitamin E in the peripheral blood of pregnant women to determine the adaptive capability of the organism and the favorable course of pregnancy and childbirth.It is possible that the complex of adaptive respiratory and aqua-gymnastics performing by pregnant women promotes more intensive penetration of oxygen from the blood to tissue, which leads to better oxidation of the substrate and hence reduce the concentration of MDA in women of main group. Timely addition of breathing exercises complex during pregnancy, as well as aqua-gymnastics, promotes restoration of redox enzymatic processes in the tissues, leading to improved utilization of fetal oxygen; contributes to Verigo–Bohr strengthening effect, intensive penetration of oxygen from the blood into tissues, resulting in the release of carbon dioxide. Accumulated carbon dioxide promotes active oxygen transportation to the fetus and increases the adaptive capabilities of the organism.Thus, the experience of working with groups of pregnant women with somatic pathology and prenatal risk factors, allowed us to estimate the effectiveness of breathing exercises combined with aqua-gymnastics and develop a more

A Mamdani Adaptive Neural Fuzzy Inference System for Improvement of Groundwater Vulnerability.

Science.gov (United States)

Agoubi, Belgacem; Dabbaghi, Radhia; Kharroubi, Adel

2018-01-23

Assessing groundwater vulnerability is an important procedure for sustainable water management. Various methods have been developed for effective assessment of groundwater vulnerability and protection. However, each method has its own conditions of use and, in practice; it is difficult to return the same results for the same site. The research conceptualized and developed an improved DRASTIC method using Mamdani Adaptive Neural Fuzzy Inference System (M-ANFIS-DRASTIC). DRASTIC and M-ANFIS-DRASTIC were applied in the Jorf aquifer, southeastern Tunisia, and results were compared. Results confirm that M-ANFIS-DRASTIC combined with geostatistical tools is more powerful, generated more precise vulnerability classes with very low estimation variance. Fuzzy logic has a power to produce more realistic aquifer vulnerability assessments and introduces new ways of modeling in hydrogeology using natural human language expressed by logic rules. © 2018, National Ground Water Association.

Accelerating Best Care in Pennsylvania: adapting a large academic system's quality improvement process to rural community hospitals.

Science.gov (United States)

Haydar, Ziad; Gunderson, Julie; Ballard, David J; Skoufalos, Alexis; Berman, Bettina; Nash, David B

2008-01-01

Industrial quality improvement (QI) methods such as continuous quality improvement (CQI) may help bridge the gap between evidence-based "best care" and the quality of care provided. In 2006, Baylor Health Care System collaborated with Jefferson Medical College of Thomas Jefferson University to conduct a QI demonstration project in select Pennsylvania hospitals using CQI techniques developed by Baylor. The training was provided over a 6-month period and focused on methods for rapid-cycle improvement; data system design; data management; tools to improve patient outcomes, processes of care, and cost-effectiveness; use of clinical guidelines and protocols; leadership skills; and customer service skills. Participants successfully implemented a variety of QI projects. QI education programs developed and pioneered within large health care systems can be adapted and applied successfully to other settings, providing needed tools to smaller rural and community hospitals that lack the necessary resources to establish such programs independently.

An Adaptive Critic Approach to Reference Model Adaptation

Science.gov (United States)

Krishnakumar, K.; Limes, G.; Gundy-Burlet, K.; Bryant, D.

2003-01-01

Neural networks have been successfully used for implementing control architectures for different applications. In this work, we examine a neural network augmented adaptive critic as a Level 2 intelligent controller for a C- 17 aircraft. This intelligent control architecture utilizes an adaptive critic to tune the parameters of a reference model, which is then used to define the angular rate command for a Level 1 intelligent controller. The present architecture is implemented on a high-fidelity non-linear model of a C-17 aircraft. The goal of this research is to improve the performance of the C-17 under degraded conditions such as control failures and battle damage. Pilot ratings using a motion based simulation facility are included in this paper. The benefits of using an adaptive critic are documented using time response comparisons for severe damage situations.

Regional Development and Climate Change Adaptation: A Study of the Role of Legitimacy

Directory of Open Access Journals (Sweden)

Thorstensen Erik

2016-09-01

Full Text Available This paper presents results from a study of Czech Local Action Groups (LAGs, focusing on gaining knowledge about their internally perceived legitimacy and their potential role in local adaptation to climate change. Former studies on the role of governance networks in climate change adaptation have suggested that these networks’ legitimacy are crucial for their success. In this article we provide an analytical framework that can be used to address different aspects of local governance networks which are important for their legitimacy and the way they are apt as instruments for climate change adaptation actions. We also present a survey among LAG members that provide empirical data that we discuss in the article. The framework and the data are discussed with reference to existing contributions in the intersection of legitimacy, governance networks and climate change adaptation. A specific aim is to provide research based recommendations for further improving LAGs as an adaptation instrument. In addition, knowledge is generated that will be interesting for further studies of similar local governance initiatives in the climate change adaptation context.

The economics of optimal adaptation to climate change

Energy Technology Data Exchange (ETDEWEB)

Callaway, J.M.; Ringius, L.

2002-07-01

This paper has set out to provide a consistent theoretical framework for understanding how consumers, producers and factor agents respond to the impacts of climate change, with a primary focus on the production and consumption of, and investment in, market goods and services under competitive conditions. However, we have also pointed out that this theory can be extended to economies where individuals and groups pursue other well-defined objectives, and we have provided some examples that show the consistency in adaptation behaviour between economic terms and those who maximise the objective of household nutrition. We have defined adaptation as the changes that economic agents make in the allocation of resources to consumption, production and investment to offset the effects of weather variability or climate change on their welfare. This definition is broad enough to encompass almost every conceivable kind of adaptation behaviour. Further, we have followed the distinction between adaptation that is autonomous and adaptation actions that are undertaken by governments in the form of adaptation strategies. Autonomous adaptation is adaptation that economic agents will undertake to change, without the assistance of government, to improve their welfare due to incentives that are built into the political economy of a country. Adaptation strategies involve conscious decisions by governments to undertake actions and implement projects to avoid (or benefit from) weather variability and climate change. We show how the extent to which economic activities are adapted to existing climate variability will affect how much autonomous adaptation will need to occur once the pure effect of climate change is taken into account. In this paper we argue that the ability of economic activities to adapt once the pure effect of climate change can be accounted for by the following factors: Presence of well-developed markets for inputs and outputs; Ability and competitiveness to produce

Effects of planned group interactions on the social adaptation of individuals with an intestinal stoma: a quantitative study.

Science.gov (United States)

Karabulut, Hatice K; Dinç, Leyla; Karadag, Ayişe

2014-10-01

To investigate the effects of a planned group interaction method on the social adjustment of individuals with an intestinal stoma. Individuals with a stoma often experience physiological, psychological and social problems that affect their social adaptation. Quasi-experimental. The population included ileostomy and colostomy patients registered at the Gazi University Health Research and Implementation Centre Stoma therapy Unit between September 2011-June 2012. They were assigned to experimental (n = 23) and control (n = 27) groups based on their willingness to attend planned group interaction meetings. Experimental group members participated in the 'planned group interaction method' for six weeks. Control group members only received routine care services. Weekly group interaction meetings lasted for average of 90 minutes. The Ostomy Adjustment Inventory and Psychosocial Adjustment to Illness Scale-Self-Report Scale were administered to experimental group members on three occasions: prior to the first group meeting, after the six-week meeting process ended and during the first month after group meetings ended. Control group evaluations were conducted simultaneously. Experimental group members' ostomy adjustment mean scores after planned group interaction meetings gradually increased. No changes occurred in the control group's average scores. The experimental and control groups' average psychosocial adjustment scores eventually changed and showed a tendency towards adjustment. Experimental group members aged 51-60 and 61-70, who were married, had primary and higher education, had permanent stomas, had stomas for periods between 12 months or less and 61 months and longer and had sufficient stoma care knowledge demonstrated higher adjustment values (p stoma care and daily life. Planned group interactions effectively enhanced the social adjustment of patients with a stoma. Group interaction methods should be included in nursing care practices for individuals with a

Adaptive servo-ventilation therapy for patients with chronic heart failure in a confirmatory, multicenter, randomized, controlled study.

Science.gov (United States)

Momomura, Shin-Ichi; Seino, Yoshihiko; Kihara, Yasuki; Adachi, Hitoshi; Yasumura, Yoshio; Yokoyama, Hiroyuki; Wada, Hiroshi; Ise, Takayuki; Tanaka, Koichi

2015-01-01

Adaptive servo-ventilation (ASV) therapy is expected to be novel nonpharmacotherapy with hemodynamic effects on patients with chronic heart failure (CHF), but sufficient evidence has not been obtained. A 24-week, open-label, randomized, controlled study was performed to confirm the cardiac function-improving effect of ASV therapy on CHF patients. At 39 institutions, 213 outpatients with CHF, whose left ventricular ejection fraction (LVEF) was control group], respectively. The primary endpoint was LVEF, and the secondary endpoints were HF deterioration, B-type natriuretic peptide (BNP), and clinical composite response (CCR: NYHA class+HF deterioration). LVEF and BNP improved significantly at completion against the baseline values in the 2 groups. However, no significant difference was found between these groups. HF deterioration tended to be suppressed. The ASV group showed a significant improvement in CCR corroborated by significant improvements in NYHA class and ADL against the control group. Under the present study's conditions, ASV therapy was not superior to GDMT in the cardiac function-improving effect but showed a clinical status-improving effect, thus indicating a given level of clinical benefit.

Highly adaptive tests for group differences in brain functional connectivity

Directory of Open Access Journals (Sweden)

Junghi Kim

2015-01-01

The proposed tests combine statistical evidence against a null hypothesis from multiple sources across a range of plausible tuning parameter values reflecting uncertainty with the unknown truth. These highly adaptive tests are not only easy to use, but also high-powered robustly across various scenarios. The usage and advantages of these novel tests are demonstrated on an Alzheimer's disease dataset and simulated data.

Aerobic Exercise Training Adaptations Are Increased by Postexercise Carbohydrate-Protein Supplementation

Directory of Open Access Journals (Sweden)

Lisa Ferguson-Stegall

2011-01-01

Full Text Available Carbohydrate-protein supplementation has been found to increase the rate of training adaptation when provided postresistance exercise. The present study compared the effects of a carbohydrate and protein supplement in the form of chocolate milk (CM, isocaloric carbohydrate (CHO, and placebo on training adaptations occurring over 4.5 weeks of aerobic exercise training. Thirty-two untrained subjects cycled 60 min/d, 5 d/wk for 4.5 wks at 75–80% of maximal oxygen consumption (VO2 max. Supplements were ingested immediately and 1 h after each exercise session. VO2 max and body composition were assessed before the start and end of training. VO2 max improvements were significantly greater in CM than CHO and placebo. Greater improvements in body composition, represented by a calculated lean and fat mass differential for whole body and trunk, were found in the CM group compared to CHO. We conclude supplementing with CM postexercise improves aerobic power and body composition more effectively than CHO alone.

Trans-disciplinary community groups: an initiative for improving healthcare.

Science.gov (United States)

Sideras, James Demetri

2016-01-01

In the context of budget constraints and the current quality crisis facing UK healthcare, the purpose of this paper is to examine the use of trans-disciplinary community groups (TCG)--an innovative and inexpensive initiative for improving patient care. Using an action research study, TCG was implemented within a private healthcare firm for vulnerable adults. Qualitative data were gathered over 12 months from 33 participants using depth interviews and focus groups. TCG led to improved patient activities and increased patient decision-making and confidence in self-advocacy. Key prerequisites were top management commitment, democratic leadership and employee empowerment. However, staff nurses resisted TCG because they were inclined to using managerial control and their own independent clinical judgements. Whilst the findings from this study should not be generalized across all healthcare sectors, its results could be replicated in contexts where there is wide commitment to TCG and where managers adopt a democratic style of leadership. Researchers could take this study further by exploring the applicability of TCG in public healthcare organizations or other multi-disciplinary service contexts. The findings of this research paper provide policy makers and healthcare managers with practical insights on TCG and the factors that are likely to obstruct and facilitate its implementation. Adopting TCG could enable healthcare managers to ameliorate their services with little or no extra cost, which is especially important in a budget constraint context and the current quality crisis facing UK healthcare.

Massively Parallel Dimension Independent Adaptive Metropolis

KAUST Repository

Chen, Yuxin

2015-01-01

parameter dimension, by respecting the variance, for Gaussian targets. The result- ing algorithm, referred to as the dimension-independent adaptive Metropolis (DIAM) algorithm, also shows improved performance with respect to adaptive Metropolis on non

From a target group towards interaction group: Alcohol prevention policy regarding young people in Germany

Directory of Open Access Journals (Sweden)

Susanne Linden

2015-10-01

Conclusion: Not only the content matters to promote participation, interactive communication, but also context and style of the communication. To enhance self reflection and deeper understanding it is essential to deliver the information in an attractive context, which has been found relevant for the target group. Just providing information may be important but is not sufficient in order to change the behaviour. Information which is elaborated through discussion – even online – may transform information into deeper understanding respectively knowledge. Thus it is more likely to have an impact on future behaviour. The target group should be recognized as interaction group. This will help to improve the adaptation and intervention continuously. Nevertheless, prevention and behaviour change will take their time and will need continuous effort at high level. Future research is needed to measure the impact of vivid discussion on people who take part in these discussions in an active way, compared to those who only follow the conversation thread.

Neuromuscular adaptations induced by adjacent joint training.

Science.gov (United States)

Ema, R; Saito, I; Akagi, R

2018-03-01

Effects of resistance training are well known to be specific to tasks that are involved during training. However, it remains unclear whether neuromuscular adaptations are induced after adjacent joint training. This study examined the effects of hip flexion training on maximal and explosive knee extension strength and neuromuscular performance of the rectus femoris (RF, hip flexor, and knee extensor) compared with the effects of knee extension training. Thirty-seven untrained young men were randomly assigned to hip flexion training, knee extension training, or a control group. Participants in the training groups completed 4 weeks of isometric hip flexion or knee extension training. Standardized differences in the mean change between the training groups and control group were interpreted as an effect size, and the substantial effect was assumed to be ≥0.20 of the between-participant standard deviation at baseline. Both types of training resulted in substantial increases in maximal (hip flexion training group: 6.2% ± 10.1%, effect size = 0.25; knee extension training group: 20.8% ± 9.9%, effect size = 1.11) and explosive isometric knee extension torques and muscle thickness of the RF in the proximal and distal regions. Improvements in strength were accompanied by substantial enhancements in voluntary activation, which was determined using the twitch interpolation technique and RF activation. Differences in training effects on explosive torques and neural variables between the two training groups were trivial. Our findings indicate that hip flexion training results in substantial neuromuscular adaptations during knee extensions similar to those induced by knee extension training. © 2017 The Authors. Scandinavian Journal of Medicine & Science In Sports Published by John Wiley & Sons Ltd.

Predictor-Based Model Reference Adaptive Control

Science.gov (United States)

Lavretsky, Eugene; Gadient, Ross; Gregory, Irene M.

2010-01-01

This paper is devoted to the design and analysis of a predictor-based model reference adaptive control. Stable adaptive laws are derived using Lyapunov framework. The proposed architecture is compared with the now classical model reference adaptive control. A simulation example is presented in which numerical evidence indicates that the proposed controller yields improved transient characteristics.

HOW TO IMPROVE TEAM EFFECTIVENESS THROUGH GROUP PROCESSES: AN EXAMPLE IN THE AUTOMOTIVE INDUSTRY

Directory of Open Access Journals (Sweden)

Rocio Meneses

2015-09-01

Full Text Available Increasing group and team effectiveness is fundamental for any organisation, especially during periods of economic crisis. In order to build or design a team or to optimise its work, it is necessary to consider tasks, processes and results. Given that teams are a key tool for competitiveness in the automotive sector, this paper focuses on how to improve the performance and the effectiveness of production teams in Spain's automotive industry through three processes: group development, group identification, and team potency. The results show that these processes predict 57% of group performance, and in particular two of the effectiveness criteria used in this sector: absenteeism and order and hygiene in the workplace. We discuss the usefulness of these results for managers and team leaders in order to improve team performance and effectiveness in the automotive sector.

Divide and Conquer: Sub-Grouping of ASD Improves ASD Detection Based on Brain Morphometry

Science.gov (United States)

Baum, Stefi A.; Cahill, Nathan D.; Michael, Andrew M.

2016-01-01

Low success (ASD) classification using brain morphometry from the large multi-site ABIDE dataset and inconsistent findings on brain morphometric abnormalities in ASD can be attributed to the ASD heterogeneity. In this study, we show that ASD brain morphometry is highly heterogeneous, and demonstrate that the heterogeneity can be mitigated and classification improved if autism severity (AS), verbal IQ (VIQ) and age are used with morphometric features. Morphometric features from structural MRIs (sMRIs) of 734 males (ASD: 361, controls: 373) of ABIDE were derived using FreeSurfer. Applying the Random Forest classifier, an AUC of 0.61 was achieved. Adding VIQ and age to morphometric features, AUC improved to 0.68. Sub-grouping the subjects by AS, VIQ and age improved the classification with the highest AUC of 0.8 in the moderate-AS sub-group (AS = 7–8). Matching subjects on age and/or VIQ in each sub-group further improved the classification with the highest AUC of 0.92 in the low AS sub-group (AS = 4–5). AUC decreased with AS and VIQ, and was the lowest in the mid-age sub-group (13–18 years). The important features were mainly from the frontal, temporal, ventricular, right hippocampal and left amygdala regions. However, they highly varied with AS, VIQ and age. The curvature and folding index features from frontal, temporal, lingual and insular regions were dominant in younger subjects suggesting their importance for early detection. When the experiments were repeated using the Gradient Boosting classifier similar results were obtained. Our findings suggest that identifying brain biomarkers in sub-groups of ASD can yield more robust and insightful results than searching across the whole spectrum. Further, it may allow identification of sub-group specific brain biomarkers that are optimized for early detection and monitoring, increasing the utility of sMRI as an important tool for early detection of ASD. PMID:27065101

[Adaptive optics for ophthalmology].

Science.gov (United States)

Saleh, M

2016-04-01

Adaptive optics is a technology enhancing the visual performance of an optical system by correcting its optical aberrations. Adaptive optics have already enabled several breakthroughs in the field of visual sciences, such as improvement of visual acuity in normal and diseased eyes beyond physiologic limits, and the correction of presbyopia. Adaptive optics technology also provides high-resolution, in vivo imaging of the retina that may eventually help to detect the onset of retinal conditions at an early stage and provide better assessment of treatment efficacy. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

The interference effects of non-rotated versus counter-rotated trials in visuomotor adaptation.

Science.gov (United States)

Hinder, Mark R; Walk, Laura; Woolley, Daniel G; Riek, Stephan; Carson, Richard G

2007-07-01

An isometric torque-production task was used to investigate interference and retention in adaptation to multiple visuomotor environments. Subjects produced isometric flexion-extension and pronation-supination elbow torques to move a cursor to acquire targets as quickly as possible. Adaptation to a 30 degrees counter-clockwise (CCW) rotation (task A), was followed by a period of rest (control), trials with no rotation (task B0), or trials with a 60 degrees clockwise (CW) rotation (task B60). For all groups, retention of task A was assessed 5 h later. With initial training, all groups reduced the angular deviation of cursor paths early in the movements, indicating feedforward adaptation. For the control group, performance at commencement of the retest was significantly better than that at the beginning of the initial learning. For the B0 group, performance in the retest of task A was not dissimilar to that at the start of the initial learning, while for the B60 group retest performance in task A was markedly worse than initially observed. Our results indicate that close juxtaposition of two visuomotor environments precludes improved retest performance in the initial environment. Data for the B60 group, specifically larger angular errors upon retest compared with initial exposures, are consistent with the presence of anterograde interference. Furthermore, full interference occurred even when the visuomotor environment encountered in the second task was not rotated (B0). This latter novel result differs from those obtained for force field learning, where interference does not occur when task B does not impose perturbing forces, i.e., when B consists of a null field (Brashers-Krug et al., Nature 382:252-255, 1996). The results are consistent with recent proposals suggesting different interference mechanisms for visuomotor (kinematic) compared to force field (dynamic) adaptations, and have implications for the use of washout trials when studying interference between

Adaptive Mesh Refinement in CTH

International Nuclear Information System (INIS)

Crawford, David

1999-01-01

This paper reports progress on implementing a new capability of adaptive mesh refinement into the Eulerian multimaterial shock- physics code CTH. The adaptivity is block-based with refinement and unrefinement occurring in an isotropic 2:1 manner. The code is designed to run on serial, multiprocessor and massive parallel platforms. An approximate factor of three in memory and performance improvements over comparable resolution non-adaptive calculations has-been demonstrated for a number of problems

Climate change adaptation among Tibetan pastoralists: challenges in enhancing local adaptation through policy support.

Science.gov (United States)

Fu, Yao; Grumbine, R Edward; Wilkes, Andreas; Wang, Yun; Xu, Jian-Chu; Yang, Yong-Ping

2012-10-01

While researchers are aware that a mix of Local Ecological Knowledge (LEK), community-based resource management institutions, and higher-level institutions and policies can facilitate pastoralists' adaptation to climate change, policy makers have been slow to understand these linkages. Two critical issues are to what extent these factors play a role, and how to enhance local adaptation through government support. We investigated these issues through a case study of two pastoral communities on the Tibetan Plateau in China employing an analytical framework to understand local climate adaptation processes. We concluded that LEK and community-based institutions improve adaptation outcomes for Tibetan pastoralists through shaping and mobilizing resource availability to reduce risks. Higher-level institutions and policies contribute by providing resources from outside communities. There are dynamic interrelationships among these factors that can lead to support, conflict, and fragmentation. Government policy could enhance local adaptation through improvement of supportive relationships among these factors. While central government policies allow only limited room for overt integration of local knowledge/institutions, local governments often have some flexibility to buffer conflicts. In addition, government policies to support market-based economic development have greatly benefited adaptation outcomes for pastoralists. Overall, in China, there are still questions over how to create innovative institutions that blend LEK and community-based institutions with government policy making.

Computerized Adaptive Personality Testing: A Review and Illustration With the MMPI-2 Computerized Adaptive Version.

Science.gov (United States)

Forbey, Johnathan D.; Ben-Porath, Yossef S.

2007-01-01

Computerized adaptive testing in personality assessment can improve efficiency by significantly reducing the number of items administered to answer an assessment question. Two approaches have been explored for adaptive testing in computerized personality assessment: item response theory and the countdown method. In this article, the authors…

Adaptive neuro-fuzzy inference system to improve the power quality of a split shaft microturbine power generation system

Science.gov (United States)

Oğuz, Yüksel; Üstün, Seydi Vakkas; Yabanova, İsmail; Yumurtaci, Mehmet; Güney, İrfan

2012-01-01

This article presents design of adaptive neuro-fuzzy inference system (ANFIS) for the turbine speed control for purpose of improving the power quality of the power production system of a split shaft microturbine. To improve the operation performance of the microturbine power generation system (MTPGS) and to obtain the electrical output magnitudes in desired quality and value (terminal voltage, operation frequency, power drawn by consumer and production power), a controller depended on adaptive neuro-fuzzy inference system was designed. The MTPGS consists of the microturbine speed controller, a split shaft microturbine, cylindrical pole synchronous generator, excitation circuit and voltage regulator. Modeling of dynamic behavior of synchronous generator driver with a turbine and split shaft turbine was realized by using the Matlab/Simulink and SimPowerSystems in it. It is observed from the simulation results that with the microturbine speed control made with ANFIS, when the MTPGS is operated under various loading situations, the terminal voltage and frequency values of the system can be settled in desired operation values in a very short time without significant oscillation and electrical production power in desired quality can be obtained.

Exploring students’ adaptive reasoning skills and van Hiele levels of geometric thinking: a case study in geometry

Science.gov (United States)

Rizki, H. T. N.; Frentika, D.; Wijaya, A.

2018-03-01

This study aims to explore junior high school students’ adaptive reasoning and the Van Hiele level of geometric thinking. The present study was a quasi-experiment with the non-equivalent control group design. The participants of the study were 34 seventh graders and 35 eighth graders in the experiment classes and 34 seventh graders and 34 eighth graders in the control classes. The students in the experiment classes learned geometry under the circumstances of a Knisley mathematical learning. The data were analyzed quantitatively by using inferential statistics. The results of data analysis show an improvement of adaptive reasoning skills both in the grade seven and grade eight. An improvement was also found for the Van Hiele level of geometric thinking. These results indicate the positive impact of Knisley learning model on students’ adaptive reasoning skills and Van Hiele level of geometric thinking.

A community based approach to improving resilience of forests and water resources: A local and regional climate adaptation methodology

Science.gov (United States)

Toby Thaler; Gwen Griffith; Nancy Gilliam

2014-01-01

Forest-based ecosystem services are at risk from human-caused stressors, including climate change. Improving governance and management of forests to reduce impacts and increase community resilience to all stressors is the objective of forest-related climate change adaptation. The Model Forest Policy Program (MFPP) has applied one method designed to meet this objective...

Adaptive feedback synchronization of Lue system

International Nuclear Information System (INIS)

Han, X.; Lu, J.-A.; Wu, X.

2004-01-01

This letter further improves and extends the works of Chen and Lue [Chaos, Solitons and Fractals 14 (2002) 643] and Wang et al. [Phys. Lett. A 312 (2003) 34]. In detail, the linear feedback synchronization and adaptive feedback synchronization for Lue system are discussed. And the lower bound of the feedback gain in linear feedback synchronization is presented. The adaptive feedback synchronization with only one controller is designed, which improves the proof in the work by Wang et al. The adaptive synchronization with two controllers for completely uncertain Lue system is also discussed, which extends the work of Chen and Lue. Also, numerical simulations show the effectiveness of these methods

Automatic identification and removal of ocular artifacts in EEG--improved adaptive predictor filtering for portable applications.

Science.gov (United States)

Zhao, Qinglin; Hu, Bin; Shi, Yujun; Li, Yang; Moore, Philip; Sun, Minghou; Peng, Hong

2014-06-01

Electroencephalogram (EEG) signals have a long history of use as a noninvasive approach to measure brain function. An essential component in EEG-based applications is the removal of Ocular Artifacts (OA) from the EEG signals. In this paper we propose a hybrid de-noising method combining Discrete Wavelet Transformation (DWT) and an Adaptive Predictor Filter (APF). A particularly novel feature of the proposed method is the use of the APF based on an adaptive autoregressive model for prediction of the waveform of signals in the ocular artifact zones. In our test, based on simulated data, the accuracy of noise removal in the proposed model was significantly increased when compared to existing methods including: Wavelet Packet Transform (WPT) and Independent Component Analysis (ICA), Discrete Wavelet Transform (DWT) and Adaptive Noise Cancellation (ANC). The results demonstrate that the proposed method achieved a lower mean square error and higher correlation between the original and corrected EEG. The proposed method has also been evaluated using data from calibration trials for the Online Predictive Tools for Intervention in Mental Illness (OPTIMI) project. The results of this evaluation indicate an improvement in performance in terms of the recovery of true EEG signals with EEG tracking and computational speed in the analysis. The proposed method is well suited to applications in portable environments where the constraints with respect to acceptable wearable sensor attachments usually dictate single channel devices.

The Langer-Improved Wald Test for DIF Testing with Multiple Groups: Evaluation and Comparison to Two-Group IRT

Science.gov (United States)

Woods, Carol M.; Cai, Li; Wang, Mian

2013-01-01

Differential item functioning (DIF) occurs when the probability of responding in a particular category to an item differs for members of different groups who are matched on the construct being measured. The identification of DIF is important for valid measurement. This research evaluates an improved version of Lord's chi [superscript 2]…

Smart swarms of bacteria-inspired agents with performance adaptable interactions.

Directory of Open Access Journals (Sweden)

Adi Shklarsh

2011-09-01

Full Text Available Collective navigation and swarming have been studied in animal groups, such as fish schools, bird flocks, bacteria, and slime molds. Computer modeling has shown that collective behavior of simple agents can result from simple interactions between the agents, which include short range repulsion, intermediate range alignment, and long range attraction. Here we study collective navigation of bacteria-inspired smart agents in complex terrains, with adaptive interactions that depend on performance. More specifically, each agent adjusts its interactions with the other agents according to its local environment--by decreasing the peers' influence while navigating in a beneficial direction, and increasing it otherwise. We show that inclusion of such performance dependent adaptable interactions significantly improves the collective swarming performance, leading to highly efficient navigation, especially in complex terrains. Notably, to afford such adaptable interactions, each modeled agent requires only simple computational capabilities with short-term memory, which can easily be implemented in simple swarming robots.

Adapting a Cancer Literacy Measure for Use Among Navajo Women.

Science.gov (United States)

Yost, Kathleen J; Bauer, Mark C; Buki, Lydia P; Austin-Garrison, Martha; Garcia, Linda V; Hughes, Christine A; Patten, Christi A

2017-05-01

The authors designed a community-based participatory research study to develop and test a family-based behavioral intervention to improve cancer literacy and promote mammography among Navajo women. Using data from focus groups and discussions with a community advisory committee, they adapted an existing questionnaire to assess cancer knowledge, barriers to mammography, and cancer beliefs for use among Navajo women. Questions measuring health literacy, numeracy, self-efficacy, cancer communication, and family support were also adapted. The resulting questionnaire was found to have good content validity, and to be culturally and linguistically appropriate for use among Navajo women. It is important to consider culture and not just language when adapting existing measures for use with AI/AN (American Indian/Alaskan Native) populations. English-language versions of existing literacy measures may not be culturally appropriate for AI/AN populations, which could lead to a lack of semantic, technical, idiomatic, and conceptual equivalence, resulting in misinterpretation of study outcomes.

Smart swarms of bacteria-inspired agents with performance adaptable interactions.

Science.gov (United States)

Shklarsh, Adi; Ariel, Gil; Schneidman, Elad; Ben-Jacob, Eshel

2011-09-01

Collective navigation and swarming have been studied in animal groups, such as fish schools, bird flocks, bacteria, and slime molds. Computer modeling has shown that collective behavior of simple agents can result from simple interactions between the agents, which include short range repulsion, intermediate range alignment, and long range attraction. Here we study collective navigation of bacteria-inspired smart agents in complex terrains, with adaptive interactions that depend on performance. More specifically, each agent adjusts its interactions with the other agents according to its local environment--by decreasing the peers' influence while navigating in a beneficial direction, and increasing it otherwise. We show that inclusion of such performance dependent adaptable interactions significantly improves the collective swarming performance, leading to highly efficient navigation, especially in complex terrains. Notably, to afford such adaptable interactions, each modeled agent requires only simple computational capabilities with short-term memory, which can easily be implemented in simple swarming robots.

A Systematic Review of Literature on Culturally Adapted Obesity Prevention Interventions for African American Youth

Science.gov (United States)

Lofton, Saria; Julion, Wrenetha A.; McNaughton, Diane B.; Bergren, Martha Dewey; Keim, Kathryn S.

2016-01-01

Obesity and overweight prevalence in African American (AA) youth continues to be one of the highest of all major ethnic groups, which has led researchers to pursue culturally based approaches as a means to improve obesity prevention interventions. The purpose of this systematic review was to evaluate culturally adapted obesity prevention…

Massively Parallel Dimension Independent Adaptive Metropolis

KAUST Repository

Chen, Yuxin

2015-05-14

This work considers black-box Bayesian inference over high-dimensional parameter spaces. The well-known and widely respected adaptive Metropolis (AM) algorithm is extended herein to asymptotically scale uniformly with respect to the underlying parameter dimension, by respecting the variance, for Gaussian targets. The result- ing algorithm, referred to as the dimension-independent adaptive Metropolis (DIAM) algorithm, also shows improved performance with respect to adaptive Metropolis on non-Gaussian targets. This algorithm is further improved, and the possibility of probing high-dimensional targets is enabled, via GPU-accelerated numerical libraries and periodically synchronized concurrent chains (justified a posteriori). Asymptoti- cally in dimension, this massively parallel dimension-independent adaptive Metropolis (MPDIAM) GPU implementation exhibits a factor of four improvement versus the CPU-based Intel MKL version alone, which is itself already a factor of three improve- ment versus the serial version. The scaling to multiple CPUs and GPUs exhibits a form of strong scaling in terms of the time necessary to reach a certain convergence criterion, through a combination of longer time per sample batch (weak scaling) and yet fewer necessary samples to convergence. This is illustrated by e ciently sampling from several Gaussian and non-Gaussian targets for dimension d 1000.

[The adaptive pharmacological correction of functional disorders in young recruits with hypotrophy].

Science.gov (United States)

Buchnov, A D; Grechko, A T; Murga, Ia T

2000-04-01

Low level of physical development, physiologic reserves, signs of psychical disadaptation, frequent functional disorders in cardiovascular system and gastrointestinal tract are noted in recruits with hypotrophy. Using of rapidly acting adaptogenes during 1 month (phytopreparation elixir "Altai" and "Vitavis" in tablets) significantly improves body state: increase in the level of physiologic reserves, physical working capacity, IMT, body unspecific resistance; improvement in indices of hemodynamics, metabolism and immunity; decrease in asthenization and psychical disadaptation. The state of adaptation and increased resistance in this recruit group remains during the following months of service.

Accelerated Dimension-Independent Adaptive Metropolis

KAUST Repository

Chen, Yuxin

2016-10-27

This work describes improvements by algorithmic and architectural means to black-box Bayesian inference over high-dimensional parameter spaces. The well-known adaptive Metropolis (AM) algorithm [H. Haario, E. Saksman, and J. Tamminen, Bernoulli, (2001), pp. 223--242] is extended herein to scale asymptotically uniformly with respect to the underlying parameter dimension for Gaussian targets, by respecting the variance of the target. The resulting algorithm, referred to as the dimension-independent adaptive Metropolis (DIAM) algorithm, also shows improved performance with respect to adaptive Metropolis on non-Gaussian targets. This algorithm is further improved, and the possibility of probing high-dimensional (with dimension $d \\\\geq 1000$) targets is enabled, via GPU-accelerated numerical libraries and periodically synchronized concurrent chains (justified a posteriori). Asymptotically in dimension, this GPU implementation exhibits a factor of four improvement versus a competitive CPU-based Intel MKL (math kernel library) parallel version alone. Strong scaling to concurrent chains is exhibited, through a combination of longer time per sample batch (weak scaling) with fewer necessary samples to convergence. The algorithm performance is illustrated on several Gaussian and non-Gaussian target examples, in which the dimension may be in excess of one thousand.

Adapted yoga to improve physical function and health-related quality of life in physically-inactive older adults: a randomised controlled pilot trial.

Science.gov (United States)

Tew, Garry A; Howsam, Jenny; Hardy, Matthew; Bissell, Laura

2017-06-23

Yoga is a holistic therapy of expanding popularity, which has the potential to produce a range of physical, mental and social benefits. This trial evaluated the feasibility and effects of an adapted yoga programme on physical function and health-related quality of life in physically-inactive older adults. In this randomised controlled pilot trial, 52 older adults (90% female; mean age 74.8 years, SD 7.2) were randomised 1:1 to a yoga programme or wait-list control. The yoga group (n = 25) received a physical activity education booklet and were invited to attend ten yoga sessions during a 12-week period. The control group (n = 27) received the education booklet only. Measures of physical function (e.g., Short Physical Performance Battery; SPPB), health status (EQ-5D) and mental well-being (Warwick-Edinburgh Mental Well-being Scale; WEMWBS) were assessed at baseline and 3 months. Feasibility was assessed using course attendance and adverse event data, and participant interviews. Forty-seven participants completed follow-up assessments. Median class attendance was 8 (range 3 to 10). At the 3-month follow-up, the yoga group had a higher SPPB total score compared with the control group (mean difference 0.9, 95% confidence interval [CI] -0.3 to 2.0), a faster time to rise from a chair five times (mean difference - 1.73 s, 95% CI -4.08 to 0.62), and better performance on the chair sit-and-reach lower-limb flexibility test (mean difference 5 cm, 95% CI 0 to 10). The yoga group also had superior health status and mental well-being (vs. control) at 3 months, with mean differences in EQ-5D and WEMWBS scores of 0.12 (95% CI, 0.03 to 0.21) and 6 (95% CI, 1 to 11), respectively. The interviews indicated that participants valued attending the yoga programme, and that they experienced a range of benefits. The adapted yoga programme appeared to be feasible and potentially beneficial in terms of improving mental and social well-being and aspects of physical function in

Effective grouping for energy and performance: Construction of adaptive, sustainable, and maintainable data storage

Science.gov (United States)

Essary, David S.

The performance gap between processors and storage systems has been increasingly critical over the years. Yet the performance disparity remains, and further, storage energy consumption is rapidly becoming a new critical problem. While smarter caching and predictive techniques do much to alleviate this disparity, the problem persists, and data storage remains a growing contributor to latency and energy consumption. Attempts have been made at data layout maintenance, or intelligent physical placement of data, yet in practice, basic heuristics remain predominant. Problems that early studies sought to solve via layout strategies were proven to be NP-Hard, and data layout maintenance today remains more art than science. With unknown potential and a domain inherently full of uncertainty, layout maintenance persists as an area largely untapped by modern systems. But uncertainty in workloads does not imply randomness; access patterns have exhibited repeatable, stable behavior. Predictive information can be gathered, analyzed, and exploited to improve data layouts. Our goal is a dynamic, robust, sustainable predictive engine, aimed at improving existing layouts by replicating data at the storage device level. We present a comprehensive discussion of the design and construction of such a predictive engine, including workload evaluation, where we present and evaluate classical workloads as well as our own highly detailed traces collected over an extended period. We demonstrate significant gains through an initial static grouping mechanism, and compare against an optimal grouping method of our own construction, and further show significant improvement over competing techniques. We also explore and illustrate the challenges faced when moving from static to dynamic (i.e. online) grouping, and provide motivation and solutions for addressing these challenges. These challenges include metadata storage, appropriate predictive collocation, online performance, and physical placement

A traditional Chinese herbal formula improves pressure ulcers in paraplegic patients: A randomized, parallel-group, retrospective trial.

Science.gov (United States)

Liu, Xin; Meng, Qingxi; Song, Hua; Zhao, Tingbao

2013-06-01

In this study, the efficacy of a novel Chinese herbal formula, cure rot and flat sore ointment (CRFSO), in the management of stage IV pressure ulcers, and the effect of simultaneous comprehensive rehabilitation in improving the outcome were evaluated. A total of 35 paraplegic patients with stage IV pressure ulcers who underwent reconstruction and inpatient rehabilitation from January 2004 to September 2010 were included in the study. Arnebia root oil (ARO) was used on 16 patients with 11 ulcers (stage IV). The remaining 19 patients with 20 ulcers (stage IV) received a traditional Chinese herbal formula (CRFSO). After 28 days of treatment, the wound healing results, in particular, the healing rate, effectiveness rate, improvement rate and no response rate were evaluated. Six patients from the ARO group sought other types of therapy due to their own consideration of poor efficacy. After 28 days of treatment, the wound healing result and no response rate demonstrated a statistically significant difference (P<0.005) between the two groups, suggesting that the novel Chinese herbal formula is an effective treatment for pressure sores in paraplegic patients. All outcome variables demonstrated significant improvement in the CRFSO group compared with the ARO group after 28 days of treatment, with a higher healing rate (85% in the CRFSO group and 45.45% in the ARO group) and lower no response rate (5% in the CRFSO group and 18.18% in the ARO group). The traditional Chinese herbal formula improved pressure sores in paraplegic patients effectively and inpatient rehabilitation was also significantly improved.

Climate change perceptions and local adaptation strategies of hazard-prone rural households in Bangladesh

Directory of Open Access Journals (Sweden)

G.M. Monirul Alam

2017-01-01

Full Text Available Adaptation is a key strategy that can alleviate the severity of climate change impacts on agriculture and food production. Adaptation strategies are unlikely to be effective without an understanding of the farmers’ perceptions of climate change. This paper explores the local knowledge of adaptation in response to the perceived impacts of climate change and climatic hazards using a survey of 380 resource-poor riverbank erosion-prone households in Bangladesh. The results indicate that the respondents’ perceptions of changes in the climate and of extreme climatic events are similar to the observed climate data. Households have recognized the impacts on their livelihood and resources, resulting in an increased sense of vulnerability. To build resilience, households have undertaken a range of farming and non-farming adaptation strategies, which vary significantly among the farming groups. The important adaptation strategies include adopting new crop varieties, changing planting time, homestead gardening, planting trees and migration. Improved access to finance and to information about appropriate strategies appears to be crucial to support adaptation processes locally and thus to enhance the resilience of vulnerable households.

Improving personality facet scores with multidimensional computer adaptive testing

DEFF Research Database (Denmark)

Makransky, Guido; Mortensen, Erik Lykke; Glas, Cees A W

2013-01-01

personality tests contain many highly correlated facets. This article investigates the possibility of increasing the precision of the NEO PI-R facet scores by scoring items with multidimensional item response theory and by efficiently administering and scoring items with multidimensional computer adaptive...

Farming System Evolution and Adaptive Capacity: Insights for Adaptation Support

Directory of Open Access Journals (Sweden)

Jami L. Dixon

2014-02-01

Full Text Available Studies of climate impacts on agriculture and adaptation often provide current or future assessments, ignoring the historical contexts farming systems are situated within. We investigate how historical trends have influenced farming system adaptive capacity in Uganda using data from household surveys, semi-structured interviews, focus-group discussions and observations. By comparing two farming systems, we note three major findings: (1 similar trends in farming system evolution have had differential impacts on the diversity of farming systems; (2 trends have contributed to the erosion of informal social and cultural institutions and an increasing dependence on formal institutions; and (3 trade-offs between components of adaptive capacity are made at the farm-scale, thus influencing farming system adaptive capacity. To identify the actual impacts of future climate change and variability, it is important to recognize the dynamic nature of adaptation. In practice, areas identified for further adaptation support include: shift away from one-size-fits-all approach the identification and integration of appropriate modern farming method; a greater focus on building inclusive formal and informal institutions; and a more nuanced understanding regarding the roles and decision-making processes of influential, but external, actors. More research is needed to understand farm-scale trade-offs and the resulting impacts across spatial and temporal scales.

Power Adaptation Based on Truncated Channel Inversion for Hybrid FSO/RF Transmission With Adaptive Combining

KAUST Repository

Rakia, Tamer

2015-07-23

Hybrid free-space optical (FSO)/radio-frequency (RF) systems have emerged as a promising solution for high-data-rate wireless communications. In this paper, we consider power adaptation strategies based on truncated channel inversion for the hybrid FSO/RF system employing adaptive combining. Specifically, we adaptively set the RF link transmission power when FSO link quality is unacceptable to ensure constant combined signal-to-noise ratio (SNR) at the receiver. Two adaptation strategies are proposed. One strategy depends on the received RF SNR, whereas the other one depends on the combined SNR of both links. Analytical expressions for the outage probability of the hybrid system with and without power adaptation are obtained. Numerical examples show that the hybrid FSO/RF system with power adaptation achieves a considerable outage performance improvement over the conventional system.

Power Adaptation Based on Truncated Channel Inversion for Hybrid FSO/RF Transmission With Adaptive Combining

KAUST Repository

Rakia, Tamer; Hong-Chuan Yang; Gebali, Fayez; Alouini, Mohamed-Slim

2015-01-01

Hybrid free-space optical (FSO)/radio-frequency (RF) systems have emerged as a promising solution for high-data-rate wireless communications. In this paper, we consider power adaptation strategies based on truncated channel inversion for the hybrid FSO/RF system employing adaptive combining. Specifically, we adaptively set the RF link transmission power when FSO link quality is unacceptable to ensure constant combined signal-to-noise ratio (SNR) at the receiver. Two adaptation strategies are proposed. One strategy depends on the received RF SNR, whereas the other one depends on the combined SNR of both links. Analytical expressions for the outage probability of the hybrid system with and without power adaptation are obtained. Numerical examples show that the hybrid FSO/RF system with power adaptation achieves a considerable outage performance improvement over the conventional system.

IMPROVEMENT OF ACCURACY OF RADIATIVE HEAT TRANSFER DIFFERENTIAL APPROXIMATION METHOD FOR MULTI DIMENSIONAL SYSTEMS BY MEANS OF AUTO-ADAPTABLE BOUNDARY CONDITIONS

Directory of Open Access Journals (Sweden)

K. V. Dobrego

2015-01-01

Full Text Available Differential approximation is derived from radiation transfer equation by averaging over the solid angle. It is one of the more effective methods for engineering calculations of radia- tive heat transfer in complex three-dimensional thermal power systems with selective and scattering media. The new method for improvement of accuracy of the differential approximation based on using of auto-adaptable boundary conditions is introduced in the paper. The  efficiency  of  the  named  method  is  proved  for  the  test  2D-systems.  Self-consistent auto-adaptable boundary conditions taking into consideration the nonorthogonal component of the incident to the boundary radiation flux are formulated. It is demonstrated that taking in- to consideration of the non- orthogonal incident flux in multi-dimensional systems, such as furnaces, boilers, combustion chambers improves the accuracy of the radiant flux simulations and to more extend in the zones adjacent to the edges of the chamber.Test simulations utilizing the differential approximation method with traditional boundary conditions, new self-consistent boundary conditions and “precise” discrete ordinates method were performed. The mean square errors of the resulting radiative fluxes calculated along the boundary of rectangular and triangular test areas were decreased 1.5–2 times by using auto- adaptable boundary conditions. Radiation flux gaps in the corner points of non-symmetric sys- tems are revealed by using auto-adaptable boundary conditions which can not be obtained by using the conventional boundary conditions.

Adapting RRT growth for heterogeneous environments

KAUST Repository

Denny, Jory; Morales, Marco; Rodriguez, Samuel; Amato, Nancy M.

2013-01-01

Rapidly-exploring Random Trees (RRTs) are effective for a wide range of applications ranging from kinodynamic planning to motion planning under uncertainty. However, RRTs are not as efficient when exploring heterogeneous environments and do not adapt to the space. For example, in difficult areas an expensive RRT growth method might be appropriate, while in open areas inexpensive growth methods should be chosen. In this paper, we present a novel algorithm, Adaptive RRT, that adapts RRT growth to the current exploration area using a two level growth selection mechanism. At the first level, we select groups of expansion methods according to the visibility of the node being expanded. Second, we use a cost-sensitive learning approach to select a sampler from the group of expansion methods chosen. Also, we propose a novel definition of visibility for RRT nodes which can be computed in an online manner and used by Adaptive RRT to select an appropriate expansion method. We present the algorithm and experimental analysis on a broad range of problems showing not only its adaptability, but efficiency gains achieved by adapting exploration methods appropriately. © 2013 IEEE.

Adapting RRT growth for heterogeneous environments

KAUST Repository

Denny, Jory

2013-11-01

Rapidly-exploring Random Trees (RRTs) are effective for a wide range of applications ranging from kinodynamic planning to motion planning under uncertainty. However, RRTs are not as efficient when exploring heterogeneous environments and do not adapt to the space. For example, in difficult areas an expensive RRT growth method might be appropriate, while in open areas inexpensive growth methods should be chosen. In this paper, we present a novel algorithm, Adaptive RRT, that adapts RRT growth to the current exploration area using a two level growth selection mechanism. At the first level, we select groups of expansion methods according to the visibility of the node being expanded. Second, we use a cost-sensitive learning approach to select a sampler from the group of expansion methods chosen. Also, we propose a novel definition of visibility for RRT nodes which can be computed in an online manner and used by Adaptive RRT to select an appropriate expansion method. We present the algorithm and experimental analysis on a broad range of problems showing not only its adaptability, but efficiency gains achieved by adapting exploration methods appropriately. © 2013 IEEE.

Adaptation to Climate Change in Forestry: A Multiple Correspondence Analysis (MCA

Directory of Open Access Journals (Sweden)

Marielle Brunette

2018-01-01

Full Text Available We analyze economic perspectives of forest adaptation to risk attributes, caused mostly by climate change. We construct a database with 89 systematically chosen articles, dealing simultaneously with climate, adaptation, risk and economy. We classify the database with regard to 18 variables bearing on the characteristics of the paper, the description of the risk and the adaptation strategy, the topic and the corresponding results. To achieve a “high level-of-evidence”, we realize a multiple correspondence analysis (MCA to identify which variables were found in combination with one other in the literature and make distinct groupings affecting adaptive decisions. We identify three groups: (i profit and production; (ii microeconomic risk-handling; and (iii decision and behavior. The first group includes economic costs and benefits as the driver of adaptation and prioritizes simulation, and a mix of theoretical and empirical economic approach. The second group distinctly involves risk-related issues, in particular its management by adaptation. The third group gathers a large set of social and behavioral variables affecting management decisions collected through questionnaires. Such an approach allows the identification of gaps in the literature, concerning the impact of owners’ preferences towards risk and uncertainty regarding adaptation decisions, the fact that adaptation was often reduced in an attempt to adapt to the increasing risk of wildfire, or the existence of a regional bias.

Adaptive statistical iterative reconstruction for volume-rendered computed tomography portovenography. Improvement of image quality

International Nuclear Information System (INIS)

Matsuda, Izuru; Hanaoka, Shohei; Akahane, Masaaki

2010-01-01

Adaptive statistical iterative reconstruction (ASIR) is a reconstruction technique for computed tomography (CT) that reduces image noise. The purpose of our study was to investigate whether ASIR improves the quality of volume-rendered (VR) CT portovenography. Institutional review board approval, with waived consent, was obtained. A total of 19 patients (12 men, 7 women; mean age 69.0 years; range 25-82 years) suspected of having liver lesions underwent three-phase enhanced CT. VR image sets were prepared with both the conventional method and ASIR. The required time to make VR images was recorded. Two radiologists performed independent qualitative evaluations of the image sets. The Wilcoxon signed-rank test was used for statistical analysis. Contrast-noise ratios (CNRs) of the portal and hepatic vein were also evaluated. Overall image quality was significantly improved by ASIR (P<0.0001 and P=0.0155 for each radiologist). ASIR enhanced CNRs of the portal and hepatic vein significantly (P<0.0001). The time required to create VR images was significantly shorter with ASIR (84.7 vs. 117.1 s; P=0.014). ASIR enhances CNRs and improves image quality in VR CT portovenography. It also shortens the time required to create liver VR CT portovenographs. (author)

Group covariance and metrical theory

International Nuclear Information System (INIS)

Halpern, L.

1983-01-01

The a priori introduction of a Lie group of transformations into a physical theory has often proved to be useful; it usually serves to describe special simplified conditions before a general theory can be worked out. Newton's assumptions of absolute space and time are examples where the Euclidian group and translation group have been introduced. These groups were extended to the Galilei group and modified in the special theory of relativity to the Poincare group to describe physics under the given conditions covariantly in the simplest way. The criticism of the a priori character leads to the formulation of the general theory of relativity. The general metric theory does not really give preference to a particular invariance group - even the principle of equivalence can be adapted to a whole family of groups. The physical laws covariantly inserted into the metric space are however adapted to the Poincare group. 8 references

Is Integration Always most Adaptive? The Role of Cultural Identity in Academic Achievement and in Psychological Adaptation of Immigrant Students in Germany.

Science.gov (United States)

Schotte, Kristin; Stanat, Petra; Edele, Aileen

2018-01-01

Immigrant adaptation research views identification with the mainstream context as particularly beneficial for sociocultural adaptation, including academic achievement, and identification with the ethnic context as particularly beneficial for psychological adaptation. A strong identification with both contexts is considered most beneficial for both outcomes (integration hypothesis). However, it is unclear whether the integration hypothesis applies in assimilative contexts, across different outcomes, and across different immigrant groups. This study investigates the association of cultural identity with several indicators of academic achievement and psychological adaptation in immigrant adolescents (N = 3894, 51% female, M age = 16.24, SD age  = 0.71) in Germany. Analyses support the integration hypothesis for aspects of psychological adaptation but not for academic achievement. Moreover, for some outcomes, findings vary across immigrant groups from Turkey (n = 809), the former Soviet Union (n = 712), and heterogeneous other countries (n = 2373). The results indicate that the adaptive potential of identity integration is limited in assimilative contexts, such as Germany, and that it may vary across different outcomes and groups. As each identification is positively associated with at least one outcome, however, both identification dimensions seem to be important for the adaptation of immigrant adolescents.

Intense Training as a Means to Improve Running Performance in Trained Runners and the Adaptation of Muscle Tissue

DEFF Research Database (Denmark)

Skovgaard, Casper

compositions of intense training on performance, movement economy and muscular adaptations. The findings from the present PhD study suggest that performing intense training, in the form of speed endurance training (SET), for a relatively short period improves short and long-term performance. Both a prolonged...... period of SET as well as a period with increased frequency of SET improves short-term performance further, but a prolonged period does not extrapolate to further improved long-term performance not even if SET frequency is doubled. Short-term performance was better after 16 days of reduced training volume...... the period of increased frequency of SET, the value of combining an overload phase with tapering to improve 10-km performance is low. In line with the literature on "muscle memory", performing a second intervention of SET and a basic volume of aerobic training might have a greater impact on short-term...

Adaptation and validation in Spanish of the Group Environment Questionnaire (GEQ) with professional football players.

Science.gov (United States)

Leo, Francisco Miguel; González-Ponce, Inmaculada; Sánchez-Oliva, David; Pulido, Juan José; García-Calvo, Tomás

2015-01-01

This investigation presents two studies with the goal of adapting and validating a short version of the Group Environment Questionnaire in the Spanish sport context with professional players. Study 1 used a sample of 377 male soccer players aged between 18 and 39 years ( M = 24.51, SD = 3.73), in a preliminary study using exploratory factor analysis. Study 2 used a sample of 604 professional male and female athletes, ages between 15 and 38 years ( M = 24.34, SD = 4.03). The data analyzed were collected at three moments of the season. For each measurement, we developed seven first- and second-order structures that were analyzed with confirmatory factor analysis. Study 1 indicated appropriate factorial validity (> .60) and internal consistency (> .70), with only Item 3 presenting a low factor loading (.11), so its drafting was modified in the next study. Study 2 revealed that the Spanish version of the GEQ has high levels of internal consistency (> .70) and acceptable fit index values in its original four first-order factor structure in all three measurements ( χ²/df = 4.39, CFI = .95, IFI = .95, RMSEA = .07, SRMR = .04, AIC = 271.09). Discriminant validity (from r = .45 to r = .72) and concurrent validity (from r = .21 to r = .60) also presented appropriate values. Lastly, we conducted analysis of invariance, confirming that the models established in the different measurements were invariant. The short 12-item adaptation of the GEQ to Spanish is a valid and reliable instrument to measure team cohesion in professional male and female soccer players.

The Effectiveness of Dialectical Behavior Therapy Skills Training Group Vs. Cognitive Therapy Group on Reducing Depression and Suicide Attempts for Borderline Personality Disorder in Taiwan.

Science.gov (United States)

Lin, Tsung-Jen; Ko, Huei-Chen; Wu, Jo Yung-Wei; Oei, Tian Po; Lane, Hsien-Yuan; Chen, Chung-Hey

2018-03-12

Effectiveness of the condensed Dialectical Behavior Therapy Skills Training Group (DBTSTG) was compared to the Cognitive Therapy Group (CTG) in reducing depression and suicide reattempt, and modifying emotion regulation strategies among those with borderline personality disorder (BPD). Eighty-two depressed BPD college students with a suicidal history within the past six-months were randomly allocated to DBTSTG or CTG. Both groups had similar reductions in suicide reattempts and depression after the intervention and 6-month follow-ups. However, the CTG showed improvements in cognitive errors, but the DBTSTG revealed increases in acceptance and decreases in suppression scores. Both groups were effective in decreasing depression and suicide reattempt in BPD college students, probably through increasing adaptive antecedent-focused or response-focused strategies of emotion regulation, respectively.

Computerized adaptive testing--ready for ambulatory monitoring?