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Sample records for model index smi

  1. Structure model index does not measure rods and plates in trabecular bone

    Directory of Open Access Journals (Sweden)

    Phil L Salmon

    2015-10-01

    Full Text Available Structure model index (SMI is widely used to measure rods and plates in trabecular bone. It exploits the change in surface curvature that occurs as a structure varies from spherical (SMI = 4, to cylindrical (SMI = 3 to planar (SMI = 0. The most important assumption underlying SMI is that the entire bone surface is convex and that the curvature differential is positive at all points on the surface. The intricate connections within the trabecular continuum suggest that a high proportion of the surface could be concave, violating the assumption of convexity and producing regions of negative differential. We implemented SMI in the BoneJ plugin and included the ability to measure the amounts of surface that increased or decreased in area after surface mesh dilation, and the ability to visualize concave and convex regions. We measured SMI and its positive (SMI+ and negative (SMI- components, bone volume fraction (BV/TV, the fraction of the surface that is concave (CF, and mean ellipsoid factor (EF in trabecular bone using 38 X-ray microtomography (XMT images from a rat ovariectomy model of sex steroid rescue of bone loss, and 169 XMT images from a broad selection of 87 species' femora (mammals, birds, and a crocodile. We simulated bone resorption by eroding an image of elephant trabeculae and recording SMI and BV/TV at each erosion step. Up to 70%, and rarely less than 20%, of the trabecular surface is concave (CF 0.155 – 0.700. SMI is unavoidably influenced by aberrations from SMI-, which is strongly correlated with BV/TV and CF. The plate-to-rod transition in bone loss is an erroneous observation resulting from SMI's close and artefactual relationship with BV/TV. SMI cannot discern between the distinctive trabecular geometries typical of mammalian and avian bone, whereas EF clearly detects birds' more plate-like trabeculae. EF is free from confounding relationships with BV/TV and CF. SMI results reported in the literature should be treated with

  2. MESH FREE ESTIMATION OF THE STRUCTURE MODEL INDEX

    Directory of Open Access Journals (Sweden)

    Joachim Ohser

    2011-05-01

    Full Text Available The structure model index (SMI is a means of subsuming the topology of a homogeneous random closed set under just one number, similar to the isoperimetric shape factors used for compact sets. Originally, the SMI is defined as a function of volume fraction, specific surface area and first derivative of the specific surface area, where the derivative is defined and computed using a surface meshing. The generalised Steiner formula yields however a derivative of the specific surface area that is – up to a constant – the density of the integral of mean curvature. Consequently, an SMI can be defined without referring to a discretisation and it can be estimated from 3D image data without need to mesh the surface but using the number of occurrences of 2×2×2 pixel configurations, only. Obviously, it is impossible to completely describe a random closed set by one number. In this paper, Boolean models of balls and infinite straight cylinders serve as cautionary examples pointing out the limitations of the SMI. Nevertheless, shape factors like the SMI can be valuable tools for comparing similar structures. This is illustrated on real microstructures of ice, foams, and paper.

  3. SMI life goals: description of a randomized trial of a collaborative care model to improve outcomes for persons with serious mental illness.

    Science.gov (United States)

    Kilbourne, Amy M; Bramlet, Margretta; Barbaresso, Michelle M; Nord, Kristina M; Goodrich, David E; Lai, Zongshan; Post, Edward P; Almirall, Daniel; Verchinina, Lilia; Duffy, Sonia A; Bauer, Mark S

    2014-09-01

    Persons with serious mental illnesses (SMI) are more likely to die earlier than the general population, primarily due to increased medical burden, particularly from cardiovascular disease (CVD). Life Goals Collaborative Care (LG-CC) is designed to improve health outcomes in SMI through self-management, care management, and provider support. This single-blind randomized controlled effectiveness study will determine whether patients with SMI receiving LG-CC compared to usual care (UC) experience improved physical health in 12 months. Patients diagnosed with SMI and at least one CVD risk factor receiving care at a VA mental health clinic were randomized to LG-CC or UC. LG-CC included five self-management sessions covering mental health symptom management reinforced through health behavior change, care coordination and health monitoring via a registry, and provider feedback. The primary outcome is change in physical health-related quality of life score (VR-12) from baseline to 12 months. Secondary outcomes include changes in mental health-related quality of life, CVD risk factors (blood pressure, BMI), and physical activity from baseline to 12 months later. Out of 304 enrolled, 139 were randomized to LG-CC and 145 to UC. Among patients completing baseline assessments (N = 284); the mean age was 55.2 (SD = 10.9; range 28-75 years), 15.6% were women, the majority (62%) were diagnosed with depression, and the majority (63%) were diagnosed with hypertension or were overweight (BMI mean ± SD = 33.3 ± 6.3). Baseline VR-12 physical health component score was below population norms (50.0 ± SD = 10) at 33.4 ± 11.0. Findings from this trial may inform initiatives to improve physical health for SMI patient populations. Published by Elsevier Inc.

  4. Phishing, SMiShing & Vishing

    DEFF Research Database (Denmark)

    Yeboah-Boateng, Ezer Osei; Amanor, Priscilla Mateko

    2014-01-01

    This study is an exploratory assessment of Phishing, SMiShing and Vishing attacks against mobile devices. It examines the implications of end-user behavior towards mitigating the risks posed by using mobile devices for online services and facilities. Phishing is that socially engineered attack......-users for their knowledge, perceptions and behavior when confronted with phishing attack situations. The results show that men are more comfortable and trusting on the cyber-space and thus more susceptible to phishing attacks than women. The results also indicate that most users are either slightly aware or not at all...

  5. ADMET--Fifth Annual SMi Conference.

    Science.gov (United States)

    Comer, John E

    2010-09-01

    SMi's fifth annual ADMET Conference, held in London, included topics covering new developments in the field of ADMET. This conference report highlights selected presentations on ADME optimization in drug discovery; targeting drugs to the brain; predicting bonds that might be attacked during metabolism; treating Caco-2 membranes with vinblastine to enhance P-glycoprotein interactions; predictive ADMET in hit-to-lead optimization; structure-based studies of ADMET targets; an accelerated process for integrated drug development; building hypotheses in lead selection and optimization; supersaturation effects; the prediction of drug-drug interactions; developing a mechanism-based pharmacokinetic/pharmacodynamic model; drug transporter assays in drug discovery; time-dependent inhibition screens in early drug discovery; the system-dependent inhibition of CYP enzymes; the integrating predictive toxicology framework OpenTox; high-content analysis for predictive cytotoxicity testing; and emerging in vitro toxicity assays.

  6. Reliability and validity of the Danish version of the Schema Mode Inventory (SMI).

    Science.gov (United States)

    Reiss, Neele; Krampen, Dorothea; Christoffersen, Peter; Bach, Bo

    2016-03-01

    Schema modes are conceptualized as different parts of oneself, related to specific emotions, cognitions, and behaviors. They are a central concept in schema therapy for personality pathology and other chronic psychiatric disorders. Prior research confirms the factorial validity of the Schema Mode Inventory (SMI), an instrument to assess schema modes. This study presents an evaluation of the Danish version of the SMI, including reliability and validity analyses. Psychometric properties, such as factor structure, internal reliability, as well as intercorrelations between subscales were assessed. This was done on the basis of a mixed Danish sample (N = 657; M age = 29.32 years; range = 18-66 years; 78.5% females) composed of 266 clinical and 391 nonclinical adult participants. Results indicated model fit for the 14-factor structure of the SMI and adequate to excellent internal reliabilities of the 14 subscales (Cronbach's α =.74-.96). Furthermore, the SMI scales differentiated between clinical and nonclinical participants as theoretically predicted. These findings imply that the SMI is a sound instrument to measure the schema mode model in a Danish setting, both for clinical and research purposes, and in particular for assessment prior to schema therapy.

  7. Modulation of microRNA activity by semi-microRNAs (smiRNAs

    Directory of Open Access Journals (Sweden)

    Isabelle ePlante

    2012-06-01

    Full Text Available The ribonuclease Dicer plays a central role in the microRNA pathway by catalyzing the formation of 19 to 24-nucleotide (nt long microRNAs. Subsequently incorporated into Ago2 effector complexes, microRNAs are known to regulate messenger RNA (mRNA translation. Whether shorter RNA species derived from microRNAs exist and play a role in mRNA regulation remains unknown. Here, we report the serendipitous discovery of a 12-nt long RNA species corresponding to the 5’ region of the microRNA let-7, and tentatively termed semi-microRNA, or smiRNA. Using a smiRNA derived from the precursor of miR-223 as a model, we show that 12-nt long smiRNA species are devoid of any direct mRNA regulatory activity, as assessed in a reporter gene activity assay in transfected cultured human cells. However, smiR-223 was found to modulate the ability of the microRNA from which it derives to mediate translational repression or cleavage of reporter mRNAs. Our findings suggest that smiRNAs may be generated along the microRNA pathway and participate to the control of gene expression by regulating the activity of the related full-length mature microRNA in vivo.

  8. Neurodegenerative disorders--4th annual SMi conference.

    Science.gov (United States)

    Phillips, Tom

    2004-08-01

    The prevalence of neurodegenerative diseases in the Western World and Japan is predicted to increase sharply as a consequence of the rapidly aging population. To discuss the development of therapeutics in this increasingly important field, the 2-day Neurodegenerative Disorders SMi meeting once again brought together delegates from both large pharmaceutical companies and smaller technology and analysis companies. The majority of presentations focused on Alzheimer's disease, one of the gravest of such conditions that affects approximately half of all people aged 90 years, and on Parkinson's disease. As well as disclosing new therapeutic targets and preclinical and clinical data for drugs in development, several presentations discussed the development of surrogate markers and imaging techniques to monitor disease progression and therapeutic efficacy.

  9. School Meals Initiative (SMI). Nourishing News. Volume 4, Issue 4

    Science.gov (United States)

    Idaho State Department of Education, 2009

    2009-01-01

    The purpose of this newsletter is to help foodservice directors, supervisors, and managers successfully implement the U.S. Department of Agriculture's (USDA) School Meals Initiative (SMI) for Healthy Children regulations. Because there is so much available information on SMI, it can be overwhelming to find answers to your questions and concerns.…

  10. SMI-32 parcellates the visual cortical areas of the marmoset.

    Science.gov (United States)

    Baldauf, Zsolt B

    The distribution pattern of SMI-32-immunoreactivity (SMI-32-ir) of neuronal elements was examined in the visual cortical areas of marmoset monkey. Layer IV of the primary visual cortex (V1) and layers III and V of the extrastriate areas showed the most abundant SMI-32-ir. The different areal and laminar distribution of SMI-32-ir allowed the distinction between various extrastriate areas and determined their exact anatomical boundaries in the New World monkey, Callithrix penicillata. It is shown here that the parcellating nature of SMI-32 described earlier in the visual cortical areas of other mammals - including Old World monkeys - is also present in the marmoset. Furthermore, a comparison became possible between the chemoanatomical organization of New World and Old World primates' visual cortical areas.

  11. Systematic review of EBPs for SMI in rural America.

    Science.gov (United States)

    Weaver, Addie; Capobianco, Jeff; Ruffolo, Mary

    2015-01-01

    This systematic review of the implementation of evidence-based practices (EBPs) for adults with severe mental illnesses (SMI) in rural mental health settings examined peer-reviewed literature, grey literature, and public information. Included articles had to report implementation efforts of EBP(s) for SMI in rural settings or adaptations for rural service delivery. Only three peer-reviewed articles and two publicly available reports met inclusion criteria. Findings suggest little attention is focused on studying factors affecting implementation of EBPs for SMI in rural areas. Adaptations are occurring in rural settings, though rarely documented or tested; their impact on fidelity and consumer outcomes is unclear.

  12. Efficacy and safety of tiotropium Respimat SMI in COPD in two 1-year randomized studies.

    Science.gov (United States)

    Bateman, Eric; Singh, Dave; Smith, David; Disse, Bernd; Towse, Lesley; Massey, Dan; Blatchford, Jon; Pavia, Demetri; Hodder, Rick

    2010-08-09

    Two 1-year studies evaluated the long-term efficacy and safety of tiotropium 5 or 10 microg versus placebo, inhaled via the Respimat Soft Mist Inhaler (SMI). The two studies were combined and had 4 co-primary endpoints (trough FEV(1) response, Mahler Transition Dyspnea Index [TDI] and St George's Respiratory Questionnaire scores all at week 48, and COPD exacerbations per patient-year). A total of 1990 patients with COPD participated (mean FEV(1): 1.09 L). The mean trough FEV(1) response of tiotropium 5 or 10 microg relative to placebo was 127 or 150 mL, respectively (both P SMI 5 microg demonstrated sustained improvements in patients with COPD relative to placebo and similar to the 10 microg dose but with a lower frequency of anticholinergic adverse events.

  13. Small Multi-Purpose Research Facility (SMiRF)

    Data.gov (United States)

    Federal Laboratory Consortium — The Small Multi-Purpose Research Facility (SMiRF) evaluates the performance of the thermal protection systems required to provide long-term storage (up to 10 years)...

  14. Small Multi-Purpose Research Facility (SMiRF)

    Data.gov (United States)

    Federal Laboratory Consortium — The Small Multi-Purpose Research Facility (SMiRF) evaluates the performance of the thermal protection systems required to provide long-term storage (up to 10 years)...

  15. Enhanced index tracking modelling in portfolio optimization

    Science.gov (United States)

    Lam, W. S.; Hj. Jaaman, Saiful Hafizah; Ismail, Hamizun bin

    2013-09-01

    Enhanced index tracking is a popular form of passive fund management in stock market. It is a dual-objective optimization problem, a trade-off between maximizing the mean return and minimizing the risk. Enhanced index tracking aims to generate excess return over the return achieved by the index without purchasing all of the stocks that make up the index by establishing an optimal portfolio. The objective of this study is to determine the optimal portfolio composition and performance by using weighted model in enhanced index tracking. Weighted model focuses on the trade-off between the excess return and the risk. The results of this study show that the optimal portfolio for the weighted model is able to outperform the Malaysia market index which is Kuala Lumpur Composite Index because of higher mean return and lower risk without purchasing all the stocks in the market index.

  16. The Diagnostic Value of Superb Microvascular Imaging (SMI) in Detecting Blood Flow Signals of Breast Lesions: A Preliminary Study Comparing SMI to Color Doppler Flow Imaging.

    Science.gov (United States)

    Ma, Yan; Li, Gang; Li, Jing; Ren, Wei-dong

    2015-09-01

    The correlation between color Doppler flow imaging (CDFI) and Superb Microvascular Imaging (SMI) for detecting blood flow in breast lesions was investigated, as was the diagnostic value of SMI in differentiating benign from malignant breast lesions.These lesions were evaluated using both CDFI and SMI according to Adler's method. Pathologic examination showed 57 malignant lesions and 66 benign lesions. The number of blood vessels in a single mass was detected by 2 techniques (SMI and CDFI), and the difference between the 2 values (SMI-CDFI) was calculated. The optimal threshold for the diagnosis of malignant neoplasms and the diagnostic performances of SMI, CDFI, and SMI-CDFI were calculated.For the total lesions and malignant lesions alone, the difference between SMI and CDFI for detecting blood flow was significant (P < 0.01), but the difference was not significant for benign lesions (P = 0.15). The area under the receiver operating characteristic curve was 0.73 (95% confidence interval [CI]: 0.64-0.82) for CDFI; 0.81 (95% CI: 0.74-0.89) for SMI; and 0.89 (95% CI: 0.82-0.95) for SMI-CDFI. Furthermore, the modality of "SMI-CDFI" showed the best diagnostic performance.SMI provides further microvessel information in breast lesions. The diagnostic modality of "SMI-CDFI" can improve the diagnostic performance of ultrasound in the differentiation between benign and malignant masses.

  17. Habitat Suitability Index Models: Eastern wild turkey

    Science.gov (United States)

    Schroeder, Richard L.

    1985-01-01

    A review and synthesis of existing information were used to develop a Habitat Suitability Index (HSI) model for the eastern wild turkey (Meleagris gallopavo sylvestris). The model consolidates habitat use information into a framework appropriate for field application, and is scaled to produce an index between 0.0 (unsuitable habitat) to 1.0 (optimum habitat). HSI models are designed to be used with Habitat Evaluation Procedures previously developed by the U.S. Fish and Wildlife Service.

  18. Habitat Suitability Index Models: Swamp rabbit

    Science.gov (United States)

    Allen, Arthur W.

    1985-01-01

    A review and synthesis of existing information were used to develop a Habitat Suitability Index (HSI) model for the swamp rabbit (Sylvilagus aquaticus). The model consolidates habitat use information into a framework appropriate for field application, and is scaled to produce an index between 0.0 (unsuitable habitat) to 1.0 (optimum habitat). HSI models are designed to be used with Habitat Evaluation Procedures previously developed by the U.S. Fish and Wildlife Service.

  19. Stage movement following a 5A's intervention in tobacco dependent individuals with serious mental illness (SMI).

    Science.gov (United States)

    DiClemente, Carlo C; Delahanty, Janine C; Kofeldt, Miranda G; Dixon, Lisa; Goldberg, Richard; Lucksted, Alicia

    2011-03-01

    Smoking among individuals with serious mental illness (SMI) creates significant health problems. This study explored stage of change transitions over time among smokers with serious mental illness (SMI) and how dose of a brief intervention and other psychosocial variables were related to stage transitions. Participants were a subsample of 110 patients who participated in a larger controlled trial (Dixon, et al., 2009) examining whether psychiatrists in mental health clinics implementing the "5A's" (Ask, Advise, Assess, Assist, and Arrange) significantly reduced smoking among persons with SMI. Participants were classified into one of the Transtheoretical Model (TTM) Stages of Change for Smoking Cessation as well as classified into groups based upon the pattern of stage status transitions over time (i.e., Regressors, Stable, Inconsistent, Progressors with and without a successful quit). Modest quit rates for this brief intervention were found at one-year (6.4%) and the dose of the intervention was meaningfully related to positive stage transitions. Cessation outcomes from the controlled trial (Dixon, et al., 2009) indicated a small effect on smoking cessation, which is confirmed in this stage transition secondary analysis with a subset of these smokers. However, these results suggest that a brief intervention delivered by psychiatrists in a mental health treatment setting does seem to make an impact on these smokers.

  20. The Diagnostic Value of Superb Microvascular Imaging (SMI) in Detecting Blood Flow Signals of Breast Lesions

    Science.gov (United States)

    Ma, Yan; Li, Gang; Li, Jing; Ren, Wei-dong

    2015-01-01

    Abstract The correlation between color Doppler flow imaging (CDFI) and Superb Microvascular Imaging (SMI) for detecting blood flow in breast lesions was investigated, as was the diagnostic value of SMI in differentiating benign from malignant breast lesions. These lesions were evaluated using both CDFI and SMI according to Adler's method. Pathologic examination showed 57 malignant lesions and 66 benign lesions. The number of blood vessels in a single mass was detected by 2 techniques (SMI and CDFI), and the difference between the 2 values (SMI-CDFI) was calculated. The optimal threshold for the diagnosis of malignant neoplasms and the diagnostic performances of SMI, CDFI, and SMI-CDFI were calculated. For the total lesions and malignant lesions alone, the difference between SMI and CDFI for detecting blood flow was significant (P < 0.01), but the difference was not significant for benign lesions (P = 0.15). The area under the receiver operating characteristic curve was 0.73 (95% confidence interval [CI]: 0.64–0.82) for CDFI; 0.81 (95% CI: 0.74–0.89) for SMI; and 0.89 (95% CI: 0.82–0.95) for SMI-CDFI. Furthermore, the modality of “SMI-CDFI” showed the best diagnostic performance. SMI provides further microvessel information in breast lesions. The diagnostic modality of “SMI-CDFI” can improve the diagnostic performance of ultrasound in the differentiation between benign and malignant masses. PMID:26356718

  1. Overnight Index Rate: Model, calibration and simulation

    OpenAIRE

    Olga Yashkir; Yuri Yashkir

    2014-01-01

    In this study, the extended Overnight Index Rate (OIR) model is presented. The fitting function for the probability distribution of the OIR daily returns is based on three different Gaussian distributions which provide modelling of the narrow central peak and the wide fat-tailed component. The calibration algorithm for the model is developed and investigated using the historical OIR data.

  2. Overnight Index Rate: Model, calibration and simulation

    Directory of Open Access Journals (Sweden)

    Olga Yashkir

    2014-12-01

    Full Text Available In this study, the extended Overnight Index Rate (OIR model is presented. The fitting function for the probability distribution of the OIR daily returns is based on three different Gaussian distributions which provide modelling of the narrow central peak and the wide fat-tailed component. The calibration algorithm for the model is developed and investigated using the historical OIR data.

  3. Overnight Index Rate: Model, Calibration, and Simulation

    OpenAIRE

    Olga Yashkir; Yuri Yashkir

    2013-01-01

    In this study, the extended Overnight Index Rate (OIR) model is presented. The fitting function for the probability distribution of the OIR daily returns is based on three different Gaussian distributions which provide modelling of the narrow central peak and the wide fat-tailed component. The calibration algorithm for the model is developed and investigated using the historical OIR data.

  4. Planetary Kp index forecast using autoregressive models

    CERN Document Server

    Gonzalez, Arian Ojeda; Odriozola, Siomel Savio; Rosa, Reinaldo Roberto; Mendes, Odim

    2014-01-01

    The geomagnetic Kp index is derived from the K index measurements obtained from thirteen stations located around the Earth geomagnetic latitudes between $48^\\circ$ and $63^\\circ$. This index is processed every three hours, is quasi-logarithmic and estimates the geomagnetic activity. The Kp values fall within a range of 0 to 9 and are organized as a set of 28 discrete values. The data set is important because it is used as one of the many input parameters of magnetospheric and ionospheric models. The objective of this work is to use historical data from the Kp index to develop a methodology to make a prediction in a time interval of at least three hours. Five different models to forecast geomagnetic indices Kp and ap are tested. Time series of values of Kp index from 1932 to 15/12/2012 at 21:00 UT are used as input to the models. The purpose of the model is to predict the three measured values after the last measured value of the Kp index (it means the next 9 hours values). The AR model provides the lowest com...

  5. Modification of Inclusions in Molten Steel by Mg-Ca Transfer from Top Slag: Experimental Confirmation of the `Refractory-Slag-Metal-Inclusion (ReSMI)' Multiphase Reaction Model

    Science.gov (United States)

    Shin, Jae Hong; Park, Joo Hyun

    2017-08-01

    High-temperature experiments and Refractory-Slag-Metal-Inclusion (ReSMI) multiphase reaction simulations were carried out to determine the effect of the ladle slag composition on the formation behavior of non-metallic inclusions in molten steel. Immediately after the slag-metal reaction, magnesium migrated to the molten steel and a MgAl2O4 spinel inclusion was formed due to a reaction between magnesium and alumina inclusions. However, the spinel inclusion changed entirely into a liquid oxide inclusion via the transfer of calcium from slag to metal in the final stage of the reaction. Calcium transfer from slag to metal was more enhanced for lower SiO2 content in the slag. Consequently, the spinel inclusion was modified to form a liquid CaO-Al2O3-MgO-SiO2 inclusion, which is harmless under steelmaking conditions. The modification reaction was more efficient as the SiO2 content in the slag decreases.

  6. Expression of SM I-32 in neocortex of cortical dysplasia model rats%皮质发育不良模型鼠脑层特异性标志物SMI-32的表达

    Institute of Scientific and Technical Information of China (English)

    官云里; 晏勇; 马勋泰; 黄华; 张建刚

    2008-01-01

    目的:探讨层特异标记物非磷酸化神经丝重链(SMI一32)在皮质发育不良(Cortical dysplasia,CD)模型鼠大脑皮质中的表达.方法:孕17d大鼠腹腔注射卡莫司汀,所产子1代鼠于第28d取大脑皮质组织进行病理学检查.结果:药物组尼氏染色见皮层组织紊乱、巨大神经元和神经元异位.免疫组化染色见SMI-32在第1躯体感觉运动区(SMl区)的表达减少,多数在第Ⅳ、Ⅵ层表达且有簇集,在第Ⅱ、V层表达较少,第Ⅲ层几乎无表达.结论:大脑皮质特异性层标志物SMl-32在cD模型鼠皮质表达异常,可作为CD病理诊断的一项指标.

  7. A readapted Malone schistosome transmission index model.

    Science.gov (United States)

    Zhao, An; Gong, Peng; Bao, Shu-ming

    2009-02-01

    Schistosome transmission index can be directly used to give an overall evaluation and prediction of schistosomiasis transmission through a mathematical model. In the light of the mechanism of schistosomiasis transmission process, an improved Malone schistosome transmission index model was established based on the previous study of survivor rate of the snail under extreme temperatures by Hong Qingbiao. Meteorological data from FAO and Institute of Geographic Sciences and Resources Research, CAS was used to calculate the schistosome transmission index by the new model in the schistosomiasis epidemic region of China, and the result was re-classified into transmission index classes. The new model changed the class of "epidemic area" into that of "non-epidemic area" in the regions of the southern Henan province, the northern Anhui province and the middle Jiangsu province by transmission index threshold of 900. The geographic boundary between the epidemic and the non-epidemic regions was found fitly to coincide with the -2 degrees C isotherm of January in China, whereas the underpinning cause needs to be further explored in the future. Finally discussed was the calculation result of this meteorological model having some difference from actual epidemiology as more factors of relevance could be considered to be incorporated into the model, also discussed were a few questions concerning the model itself and the possible future improvement directions.

  8. Habitat Suitability Index Models: Red king crab

    Science.gov (United States)

    Jewett, Stephen C.; Onuf, Christopher P.

    1988-01-01

    A review and synthesis of existing information were used to develop a Habitat Suitability Index (HSI) model for evaluating habitat of different life stages of red king crab (Paralithodes camtschatica). A model consolidates habitat use information into a framework appropriate for field application, and is scaled to produce an index between 0.0 (unsuitable habitat) and 1.0 (optimum habitat) in Alaskan coastal waters, especially in the Gulf of Alaska and the southeastern Bering Sea. HSI models are designed to be used with Habitat Evaluation Procedures previously developed by the U.S. Fish and Wildlife Service.

  9. Recent advances in the chemistry of SmI(2)-H(2)O.

    Science.gov (United States)

    Sautier, Brice; Procter, David J

    2012-01-01

    Recent work from our laboratories has shown SmI(2)-H(2)O to be a versatile, readily-accessible and non-toxic reductant that is more powerful than SmI(2). This review describes the reduction of functional groups that were previously thought to lie beyond the reach of SmI(2) and complexity-generating cyclisations and cyclisation cascades triggered by the reduction of the ester carbonyl group with SmI(2)-H(2)O.

  10. 42 CFR 408.210 - Termination of SMI premium surcharge agreement.

    Science.gov (United States)

    2010-10-01

    ... 42 Public Health 2 2010-10-01 2010-10-01 false Termination of SMI premium surcharge agreement. 408... Insurance Premium Surcharge Agreements § 408.210 Termination of SMI premium surcharge agreement. (a... before it can request to enter into another SMI premium surcharge agreement....

  11. 42 CFR 408.10 - Claim for monthly benefits pending concurrently with request for SMI enrollment.

    Science.gov (United States)

    2010-10-01

    ... with request for SMI enrollment. 408.10 Section 408.10 Public Health CENTERS FOR MEDICARE & MEDICAID... INSURANCE General Provisions § 408.10 Claim for monthly benefits pending concurrently with request for SMI... benefits and for SMI will be entitled to monthly benefits, the application for monthly benefits...

  12. Near wake region of an industrial scale wind turbine: comparing LES-ALM with LES-SMI simulations using data mining (POD)

    Science.gov (United States)

    Tabib, Mandar; Salman Siddiqui, M.; Fonn, Eivind; Rasheed, Adil; Kvamsdal, Trond

    2017-05-01

    Accurate prediction of power generation capability needs proper assessment of blade loading and wake behavior. In this regard, the Sliding Mesh Interface (SMI) approach and the Actuator Line Model (ALM) are two diverse computational fluid dynamics (CFD) based approaches of simulating the turbine behavior, each having its own merits and demerits. The SMI technique simulates the unsteady flow by explicitly modeling the blades and their rotation using a dynamic mesh, while in Actuator Line Model, the blades are not modeled explicitly but each blade is resolved as a rotating line (made of N actuator segments), over which the forces are computed. The current work focuses on simulating an industrial scale reference turbine and in differentiating the near wake dynamics predicted by these two approaches using Large Eddy Simulation (LES) and Proper Orthogonal Decomposition (POD) technique (a data mining tool). Initially, the ALM is compared with FAST model for the prediction of variation of power coefficient with the Tip Speed Ratio (TSR). The ALM is able to capture the varying trend and it predicts a similar optimum tip speed ratio as the FAST model. At this optimum TSR condition, the ALM is compared with the SMI method for a study limited to the near wake region. Comparisons between SMI and ALM shows that : (a) The SMI is predicting more complex 3D nature of the flow, and (b) the POD shows that ALM captures the shear regions of wake but it does not capture the vast compendium of length and time scales of eddies as SMI does. However, despite these limitations, the ALM has been able to capture the qualitative trend in wake deficit and the power coefficient variation with tip speed.

  13. Longitudinal Relationships between Neurocognition, Theory of Mind, and Community Functioning in Outpatients with Serious Mental Illness (SMI)

    Science.gov (United States)

    Cook, Elizabeth A.; Liu, Nancy H.; Tarasenko, Melissa; Davidson, Charlie A.; Spaulding, William D.

    2013-01-01

    The purpose of this study was to examine relationships between neurocognition, theory of mind, and community functioning in a sample of 43 outpatients with serious mental illness (SMI). Relationships between baseline values and changes over time were analyzed using multilevel modeling. Results showed that: 1. Neurocognition and theory of mind were each associated with community functioning at baseline. 2. Community functioning improved over approximately 12 months of treatment. 3. Greater improvement in neurocognition over time predicted higher rates of improvement in community functioning. 4. Theory of mind did not predict change in community functioning after controlling for neurocognition. 5. The effect of change in neurocognition on community functioning did not depend on the effect of baseline neurocognition. This study provides empirical support that individuals with SMI may experience improvement in community functioning, especially when they also experience improvement in neurocognition. Limitations and recommendations for future research are discussed. PMID:23995035

  14. Distribution of SMI-32-immunoreactive neurons in the central auditory system of the rat.

    Science.gov (United States)

    Ouda, Ladislav; Druga, Rastislav; Syka, Josef

    2012-01-01

    SMI-32 antibody recognizes a non-phosphorylated epitope of neurofilament proteins, which are thought to be necessary for the maintenance of large neurons with highly myelinated processes. We investigated the distribution and quantity of SMI-32-immunoreactive(-ir) neurons in individual parts of the rat auditory system. SMI-32-ir neurons were present in all auditory structures; however, in most regions they constituted only a minority of all neurons (10-30%). In the cochlear nuclei, a higher occurrence of SMI-32-ir neurons was found in the ventral cochlear nucleus. Within the superior olivary complex, SMI-32-ir cells were particularly abundant in the medial nucleus of the trapezoid body (MNTB), the only auditory region where SMI-32-ir neurons constituted an absolute majority of all neurons. In the inferior colliculus, a region with the highest total number of neurons among the rat auditory subcortical structures, the percentage of SMI-32-ir cells was, in contrast to the MNTB, very low. In the medial geniculate body, SMI-32-ir neurons were prevalent in the ventral division. At the cortical level, SMI-32-ir neurons were found mainly in layers III, V and VI. Within the auditory cortex, it was possible to distinguish the Te1, Te2 and Te3 areas on the basis of the variable numerical density and volumes of SMI-32-ir neurons, especially when the pyramidal cells of layer V were taken into account. SMI-32-ir neurons apparently form a representative subpopulation of neurons in all parts of the rat central auditory system and may belong to both the inhibitory and excitatory systems, depending on the particular brain region.

  15. SMI-S在存储管理系统中的应用%Analysis of SMI-S's Application In Storage Management System

    Institute of Scientific and Technical Information of China (English)

    何晓斌; 黄传信

    2009-01-01

    SMI-S是SNIA推出的自动存储管理的规范,其允许不同企业的产品实现互操作和管理,目前已有40多家企业的500多种产品通过了SMI-S的一致性认证,其中不乏如IBM、HP等行业巨头.SMI-s推出已有近五年历史,本文分析了其自推出以后的应用情况,分别介绍了其应用现状,分析了其应用特点.最后本文回顾了SMI-S的应用之路,并且对其将来的应用趋向和面临的挑战做了分析.

  16. Liquid Methane Conditioning Capabilities Developed at the NASA Glenn Research Center's Small Multi- Purpose Research Facility (SMiRF) for Accelerated Lunar Surface Storage Thermal Testing

    Science.gov (United States)

    Bamberger, Helmut H.; Robinson, R. Craig; Jurns, John M.; Grasl, Steven J.

    2011-01-01

    Glenn Research Center s Creek Road Cryogenic Complex, Small Multi-Purpose Research Facility (SMiRF) recently completed validation / checkout testing of a new liquid methane delivery system and liquid methane (LCH4) conditioning system. Facility checkout validation was conducted in preparation for a series of passive thermal control technology tests planned at SMiRF in FY10 using a flight-like propellant tank at simulated thermal environments from 140 to 350K. These tests will validate models and provide high quality data to support consideration of LCH4/LO2 propellant combination option for a lunar or planetary ascent stage.An infrastructure has been put in place which will support testing of large amounts of liquid methane at SMiRF. Extensive modifications were made to the test facility s existing liquid hydrogen system for compatibility with liquid methane. Also, a new liquid methane fluid conditioning system will enable liquid methane to be quickly densified (sub-cooled below normal boiling point) and to be quickly reheated to saturation conditions between 92 and 140 K. Fluid temperatures can be quickly adjusted to compress the overall test duration. A detailed trade study was conducted to determine an appropriate technique to liquid conditioning with regard to the SMiRF facility s existing infrastructure. In addition, a completely new roadable dewar has been procured for transportation and temporary storage of liquid methane. A new spherical, flight-representative tank has also been fabricated for integration into the vacuum chamber at SMiRF. The addition of this system to SMiRF marks the first time a large-scale liquid methane propellant test capability has been realized at Glenn.This work supports the Cryogenic Fluid Management Project being conducted under the auspices of the Exploration Technology Development Program, providing focused cryogenic fluid management technology efforts to support NASA s future robotic or human exploration missions.

  17. An Analysis and Design of the Storage Management System Based on SMI 1.1.0

    Directory of Open Access Journals (Sweden)

    YoonSik Kwak

    2010-06-01

    Full Text Available This paper aims to suggest a Management Model of a storage system in distributed computing environment. Based on the Common Information Model and Web Based Enterprise Management, the SMI-S is a standard to manage a storage system. This specificction defines an interface for the management of a Storage Area Network that is a heterogeneous environment of management applications, storage devices and storage system from different venders. It consist of a Profile, Subprofile and Package. A Profile defines the base set of information and capabilities that allow a Client to manage a particular storage resource. A Subprofile represents additional functionality.Analyzing of the Profile, Subprofile and the Package, it is goal to find the method that we need to manage a storage system in this paper.

  18. Portfolio optimization for index tracking modelling in Malaysia stock market

    Science.gov (United States)

    Siew, Lam Weng; Jaaman, Saiful Hafizah; Ismail, Hamizun

    2016-06-01

    Index tracking is an investment strategy in portfolio management which aims to construct an optimal portfolio to generate similar mean return with the stock market index mean return without purchasing all of the stocks that make up the index. The objective of this paper is to construct an optimal portfolio using the optimization model which adopts regression approach in tracking the benchmark stock market index return. In this study, the data consists of weekly price of stocks in Malaysia market index which is FTSE Bursa Malaysia Kuala Lumpur Composite Index from January 2010 until December 2013. The results of this study show that the optimal portfolio is able to track FBMKLCI Index at minimum tracking error of 1.0027% with 0.0290% excess mean return over the mean return of FBMKLCI Index. The significance of this study is to construct the optimal portfolio using optimization model which adopts regression approach in tracking the stock market index without purchasing all index components.

  19. Indexation of Dutch pension rights in multistage recourse ALM models

    NARCIS (Netherlands)

    Klein Haneveld, W.K.; Streutker, M.H.; van der Vlerk, M.H.

    2010-01-01

    Indexation (correction for inflation) of defined benefit pension rights is an important topic in the current pension debate fostered by the ageing of populations. In the Netherlands, pension funds need to formulate policies concerning indexation. We show how indexation decisions can be modelled adeq

  20. Nanosizing by spatially modulated illumination (SMI) microscopy and applications to the nucleus.

    Science.gov (United States)

    Birk, Udo J; Baddeley, David; Cremer, Christoph

    2009-01-01

    In this chapter we present the method of spatially modulated illumination (SMI) microscopy, a (far-field) fluorescence microscopy technique featuring structured illumination obtained via a standing wave field laser excitation pattern. While this method does not provide higher optical resolution, it has been proven a highly valuable tool to access structural parameters of fluorescently labeled macromolecular structures in cells. SMI microscopy has been used to measure relative positions with a reproducibility of SMI microscope over other (ultra-)high resolution light microscopes are its easy sample preparation and microscope handling as well as the comparably fast acquisition times and large fields of view.

  1. Modeling Philippine Stock Exchange Composite Index Using Time Series Analysis

    Science.gov (United States)

    Gayo, W. S.; Urrutia, J. D.; Temple, J. M. F.; Sandoval, J. R. D.; Sanglay, J. E. A.

    2015-06-01

    This study was conducted to develop a time series model of the Philippine Stock Exchange Composite Index and its volatility using the finite mixture of ARIMA model with conditional variance equations such as ARCH, GARCH, EG ARCH, TARCH and PARCH models. Also, the study aimed to find out the reason behind the behaviorof PSEi, that is, which of the economic variables - Consumer Price Index, crude oil price, foreign exchange rate, gold price, interest rate, money supply, price-earnings ratio, Producers’ Price Index and terms of trade - can be used in projecting future values of PSEi and this was examined using Granger Causality Test. The findings showed that the best time series model for Philippine Stock Exchange Composite index is ARIMA(1,1,5) - ARCH(1). Also, Consumer Price Index, crude oil price and foreign exchange rate are factors concluded to Granger cause Philippine Stock Exchange Composite Index.

  2. Model and Calculation of Container Port Logistics Enterprises Efficiency Indexes

    Directory of Open Access Journals (Sweden)

    Xiao Hong

    2013-04-01

    Full Text Available The throughput of China’s container port is growing fast, but the earnings of inland port enterprises are not so good. Firstly ,the initial efficiency evaluation indexes of port logistics are reduced and screened by rough set model, and then logistics performance indexes weight are assigned by the rough totalitarian calculation method. As well, the rank of the indexes and the important indexes are picked up by combining with ABC management method. So the port logistics enterprises can monitor the key indexes to reduce cost and improve the efficiency of the logistics operations.

  3. Solvent-dependent diastereoselectivities in reductions of beta-hydroxyketones by SmI2.

    Science.gov (United States)

    Chopade, Pramod R; Davis, Todd A; Prasad, Edamana; Flowers, Robert A

    2004-08-05

    The reductions of a series of beta-hydroxyketones by SmI(2) were examined in THF, DME, and CH(3)CN using methanol as a proton source. Reductions in THF and DME typically lead to the syn diastereomer with DME providing higher diastereoselectivities. Reductions in CH(3)CN provided the anti diastereomer predominantly. This study reveals that solvation plays an important role in substrate reduction by SmI(2). [reaction: see text

  4. Occupational gender segregation: index measurement and econometric modeling.

    Science.gov (United States)

    Watts, M

    1998-11-01

    Empirical studies of gender segregation by occupation must be founded on rigorous measurement procedures. There appears to be a consensus that any index used in the analysis of time-series or international cross-section employment data must be either margin-free or decomposable to yield a margin-free component. On the other hand, Charles and Grusky (1995) advocate the use of multiplicative log models from which a margin-free odds ratio can be derived. In this paper, I contrast the construction and interpretation of the index of dissimilarity and the Karmel-MacLachlan index with the multiplicative modeling of gender segregation and the associated log index.

  5. The Association of Unintentional Changes in Weight, Body Composition, and Homeostasis Model Assessment Index with Glycemic Progression in Non-Diabetic Healthy Subjects

    Directory of Open Access Journals (Sweden)

    Eun-Jung Rhee

    2011-04-01

    Full Text Available BackgroundWe performed a retrospective longitudinal study on the effects of changes in weight, body composition, and homeostasis model assessment (HOMA indices on glycemic progression in subjects without diabetes during a four-year follow-up period in a community cohort without intentional intervention.MethodsFrom 28,440 non-diabetic subjects who participated in a medical check-up program in 2004, data on anthropometric and metabolic parameters were obtained after four years in 2008. Body composition analyses were performed with a bioelectrical impedance analyzer. Skeletal muscle index (SMI, % was calculated with lean mass/weight×100. Subjects were divided into three groups according to weight change status in four years: weight loss (≤-5.0%, stable weight (-5.0 to 5.0%, weight gain (≥5.0%. Progressors were defined as the subjects who progressed to impaired fasting glucose or diabetes.ResultsProgressors showed worse baseline metabolic profiles compared with non-progressors. In logistic regression analyses, the increase in changes of HOMA-insulin resistance (HOMA-IR in four years presented higher odds ratios for glycemic progression compared with other changes during that period. Among the components of body composition, a change in waist-hip ratio was the strongest predictor, and SMI change in four years was a significant negative predictor for glycemic progression. Changes in HOMA β-cell function in four years was a negative predictor for glycemic progression.ConclusionIncreased interval changes in HOMA-IR, weight gain and waist-hip ratio was associated with glycemic progression during a four-year period without intentional intervention in non-diabetic Korean subjects.

  6. A CDO option market model on standardized CDS index tranches

    DEFF Research Database (Denmark)

    Dorn, Jochen

    We provide a market model which implies a dynamic for standardized CDS index tranche spreads. This model is useful for pricing options on tranches with future Issue Dates as well as for modeling emerging options on struc- tured credit derivatives. With the upcoming regulation of the CDS market...... in perspective, the model presented here is also an attempt to face the e ects on pricing approaches provoked by an eventual Clearing Chamber . It becomes also possible to calibrate Index Tranche Options with bespoke tenors/tranche subordination to market data obtained by more liquid Index Tranche Options...

  7. A Consistent Pricing Model for Index Options and Volatility Derivatives

    DEFF Research Database (Denmark)

    Kokholm, Thomas

    on the underlying asset. The model has the convenient feature of decoupling the vanilla skews from spot/volatility correlations and allowing for different conditional correlations in large and small spot/volatility moves. We show that our model can simultaneously fit prices of European options on S&P 500 across......We propose a flexible modeling framework for the joint dynamics of an index and a set of forward variance swap rates written on this index. Our model reproduces various empirically observed properties of variance swap dynamics and enables volatility derivatives and options on the underlying index...

  8. Impact of Direct Soil Moisture and Revised Soil Moisture Index Methods on Hydrologic Predictions in an Arid Climate

    Directory of Open Access Journals (Sweden)

    Milad Jajarmizadeh

    2014-01-01

    Full Text Available The soil and water assessment tool (SWAT is a physically based model that is used extensively to simulate hydrologic processes in a wide range of climates around the world. SWAT uses spatial hydrometeorological data to simulate runoff through the computation of a retention curve number. The objective of the present study was to compare the performance of two approaches used for the calculation of curve numbers in SWAT, that is, the Revised Soil Moisture Index (SMI, which is based on previous meteorological conditions, and the Soil Moisture Condition II (SMCII, which is based on soil features for the prediction of flow. The results showed that the sensitive parameters for the SMI method are land-use and land-cover features. However, for the SMCII method, the soil and the channel are the sensitive parameters. The performances of the SMI and SMCII methods were analyzed using various indices. We concluded that the fair performance of the SMI method in an arid region may be due to the inherent characteristics of the method since it relies mostly on previous meteorological conditions and does not account for the soil features of the catchment.

  9. Impact of Direct Soil Moisture and Revised Soil Moisture Index Methods on Hydrologic Predictions in an Arid Climate

    OpenAIRE

    Milad Jajarmizadeh; Sobri bin Harun; Shamsuddin Shahid; Shatirah Akib; Mohsen Salarpour

    2014-01-01

    The soil and water assessment tool (SWAT) is a physically based model that is used extensively to simulate hydrologic processes in a wide range of climates around the world. SWAT uses spatial hydrometeorological data to simulate runoff through the computation of a retention curve number. The objective of the present study was to compare the performance of two approaches used for the calculation of curve numbers in SWAT, that is, the Revised Soil Moisture Index (SMI), which is based on previou...

  10. Heuristic Model Of The Composite Quality Index Of Environmental Assessment

    Science.gov (United States)

    Khabarov, A. N.; Knyaginin, A. A.; Bondarenko, D. V.; Shepet, I. P.; Korolkova, L. N.

    2017-01-01

    The goal of the paper is to present the heuristic model of the composite environmental quality index based on the integrated application of the elements of utility theory, multidimensional scaling, expert evaluation and decision-making. The composite index is synthesized in linear-quadratic form, it provides higher adequacy of the results of the assessment preferences of experts and decision-makers.

  11. Development of the West Virginia University Small Microgravity Research Facility (WVU SMiRF)

    Science.gov (United States)

    Phillips, Kyle G.

    West Virginia University (WVU) has created the Small Microgravity Research Facility (SMiRF) drop tower through a WVU Research Corporation Program to Stimulate Competitive Research (PSCoR) grant on its campus to increase direct access to inexpensive and repeatable reduced gravity research. In short, a drop tower is a tall structure from which experimental payloads are dropped, in a controlled environment, and experience reduced gravity or microgravity (i.e. "weightlessness") during free fall. Currently, there are several methods for conducting scientific research in microgravity including drop towers, parabolic flights, sounding rockets, suborbital flights, NanoSats, CubeSats, full-sized satellites, manned orbital flight, and the International Space Station (ISS). However, none of the aforementioned techniques is more inexpensive or has the capability of frequent experimentation repeatability as drop tower research. These advantages are conducive to a wide variety of experiments that can be inexpensively validated, and potentially accredited, through repeated, reliable research that permits frequent experiment modification and re-testing. Development of the WVU SMiRF, or any drop tower, must take a systems engineering approach that may include the detailed design of several main components, namely: the payload release system, the payload deceleration system, the payload lifting and transfer system, the drop tower structure, and the instrumentation and controls system, as well as a standardized drop tower payload frame for use by those researchers who cannot afford to spend money on a data acquisition system or frame. In addition to detailed technical development, a budgetary model by which development took place is also presented throughout, summarized, and detailed in an appendix. After design and construction of the WVU SMiRF was complete, initial calibration provided performance characteristics at various payload weights, and full-scale checkout via

  12. A Consistent Pricing Model for Index Options and Volatility Derivatives

    DEFF Research Database (Denmark)

    Cont, Rama; Kokholm, Thomas

    options on the underlying asset. The model has the convenient feature of decoupling the vanilla skews from spot/volatility correlations and allowing for different conditional correlations in large and small spot/volatility moves. We show that our model can simultaneously fit prices of European options......We propose and study a flexible modeling framework for the joint dynamics of an index and a set of forward variance swap rates written on this index, allowing options on forward variance swaps and options on the underlying index to be priced consistently. Our model reproduces various empirically...... on S&P 500 across strikes and maturities as well as options on the VIX volatility index. The calibration of the model is done in two steps, first by matching VIX option prices and then by matching prices of options on the underlying....

  13. A Consistent Pricing Model for Index Options and Volatility Derivatives

    DEFF Research Database (Denmark)

    Kokholm, Thomas

    on the underlying asset. The model has the convenient feature of decoupling the vanilla skews from spot/volatility correlations and allowing for different conditional correlations in large and small spot/volatility moves. We show that our model can simultaneously fit prices of European options on S&P 500 across......We propose and study a flexible modeling framework for the joint dynamics of an index and a set of forward variance swap rates written on this index, allowing options on forward variance swaps and options on the underlying index to be priced consistently. Our model reproduces various empirically...... strikes and maturities as well as options on the VIX volatility index. The calibration of the model is done in two steps, first by matching VIX option prices and then by matching prices of options on the underlying....

  14. A Consistent Pricing Model for Index Options and Volatility Derivatives

    DEFF Research Database (Denmark)

    Kokholm, Thomas

    We propose a flexible modeling framework for the joint dynamics of an index and a set of forward variance swap rates written on this index. Our model reproduces various empirically observed properties of variance swap dynamics and enables volatility derivatives and options on the underlying index...... to be priced consistently, while allowing for jumps in volatility and returns. An affine specification using Lévy processes as building blocks leads to analytically tractable pricing formulas for volatility derivatives, such as VIX options, as well as efficient numerical methods for pricing of European options...

  15. A Consistent Pricing Model for Index Options and Volatility Derivatives

    DEFF Research Database (Denmark)

    Cont, Rama; Kokholm, Thomas

    2013-01-01

    We propose a flexible modeling framework for the joint dynamics of an index and a set of forward variance swap rates written on this index. Our model reproduces various empirically observed properties of variance swap dynamics and enables volatility derivatives and options on the underlying index...... to be priced consistently, while allowing for jumps in volatility and returns. An affine specification using Lévy processes as building blocks leads to analytically tractable pricing formulas for volatility derivatives, such as VIX options, as well as efficient numerical methods for pricing of European options...

  16. A Consistent Pricing Model for Index Options and Volatility Derivatives

    DEFF Research Database (Denmark)

    Kokholm, Thomas

    We propose a flexible modeling framework for the joint dynamics of an index and a set of forward variance swap rates written on this index. Our model reproduces various empirically observed properties of variance swap dynamics and enables volatility derivatives and options on the underlying index...... to be priced consistently, while allowing for jumps in volatility and returns. An affine specification using Lévy processes as building blocks leads to analytically tractable pricing formulas for volatility derivatives, such as VIX options, as well as efficient numerical methods for pricing of European options...

  17. Rimmed vacuoles and the added value of SMI-31 staining in diagnosing sporadic inclusion body myositis.

    Science.gov (United States)

    van der Meulen, M F; Hoogendijk, J E; Moons, K G; Veldman, H; Badrising, U A; Wokke, J H

    2001-07-01

    Problems in diagnosing sporadic inclusion body myositis may arise if all clinical features fit a diagnosis of polymyositis, but the muscle biopsy shows some rimmed vacuoles. Recently, immunohistochemistry with an antibody directed against phosphorylated neurofilament (SMI-31) has been advocated as a diagnostic test for sporadic inclusion body myositis. The aims of the present study were to define a quantitative criterion to differentiate sporadic inclusion body myositis from polymyositis based on the detection of rimmed vacuoles in the haematoxylin-eosin staining and to evaluate the additional diagnostic value of the SMI-31 staining. Based on clinical criteria and creatine kinase levels in patients with endomysial infiltrates, 18 patients complied with the diagnosis of sporadic inclusion body myositis, and 17 with the diagnosis of polymyositis. A blinded observer counted the abnormal fibres in haematoxylin-eosin-stained sections and in SMI-31-stained sections. The optimal cut-off in the haematoxylin-eosin test was 0.3% vacuolated fibres. Adding the SMI-31 staining significantly increased the positive predictive value from 87 to 100%, but increased the negative predictive value only to small extent. We conclude that (1) patients with clinical and laboratory features of polymyositis, including response to treatment, may show rimmed vacuoles in their muscle biopsy and that (2) adding the SMI-31 stain can be helpful in differentiating patients who respond to treatment from patients who do not.

  18. Geospace environment modeling 2008--2009 challenge: Dst index

    Science.gov (United States)

    Rastätter, L.; Kuznetsova, M.M.; Glocer, A.; Welling, D.; Meng, X.; Raeder, J.; Wittberger, M.; Jordanova, V.K.; Yu, Y.; Zaharia, S.; Weigel, R.S.; Sazykin, S.; Boynton, R.; Wei, H.; Eccles, V.; Horton, W.; Mays, M.L.; Gannon, J.

    2013-01-01

    This paper reports the metrics-based results of the Dst index part of the 2008–2009 GEM Metrics Challenge. The 2008–2009 GEM Metrics Challenge asked modelers to submit results for four geomagnetic storm events and five different types of observations that can be modeled by statistical, climatological or physics-based models of the magnetosphere-ionosphere system. We present the results of 30 model settings that were run at the Community Coordinated Modeling Center and at the institutions of various modelers for these events. To measure the performance of each of the models against the observations, we use comparisons of 1 hour averaged model data with the Dst index issued by the World Data Center for Geomagnetism, Kyoto, Japan, and direct comparison of 1 minute model data with the 1 minute Dst index calculated by the United States Geological Survey. The latter index can be used to calculate spectral variability of model outputs in comparison to the index. We find that model rankings vary widely by skill score used. None of the models consistently perform best for all events. We find that empirical models perform well in general. Magnetohydrodynamics-based models of the global magnetosphere with inner magnetosphere physics (ring current model) included and stand-alone ring current models with properly defined boundary conditions perform well and are able to match or surpass results from empirical models. Unlike in similar studies, the statistical models used in this study found their challenge in the weakest events rather than the strongest events.

  19. Perspectives in using a remotely sensed dryness index in distributed hydrological models at river basin scale

    DEFF Research Database (Denmark)

    Andersen, J.; Sandholt, Inge; Jensen, Karsten Høgh;

    2002-01-01

    Remote Sensing, hydrological modelling, dryness index, surface temperature, vegetation index, Africa, Senegal, soil moisture......Remote Sensing, hydrological modelling, dryness index, surface temperature, vegetation index, Africa, Senegal, soil moisture...

  20. Self-incompatibility: Smi silences through a novel sRNA pathway.

    Science.gov (United States)

    Finnegan, E Jean; Liang, Dacheng; Wang, Ming-Bo

    2011-05-01

    Self-incompatibility in Brassicaceae is determined by the interaction between S-Locus Protein 11 (SP11) on the pollen and S-receptor kinase (SRK) in the stigma. Pollen from heterozygotes generally displays products of both SP11 alleles, but in some heterozygotes SP11 expression is monoallelic, with one allele (SP11(R)) being silenced by promoter methylation. An exciting development in understanding the mechanism behind monoallelic silencing came recently when Y. Tarutani et al. [Nature 2010;466:983-986] identified a 24-nucleotide sRNA (termed Smi) derived from a non-coding gene within the dominant S-haplotype, and suggested that Smi directs promoter methylation. We propose that rather than having a direct effect on DNA methylation, Smi is the first step in a novel cis-acting siRNA pathway that directs widespread monoallelic SP11(R) promoter methylation.

  1. The relation of SMI and the VSEP in a risk sample for neurodegenerative disorders.

    Science.gov (United States)

    Hagen, Katja; Ehlis, Ann-Christine; Haeussinger, Florian B; Beeretz, Stefan; Kromer, Gina V; Heinzel, Sebastian; Maetzler, Walter; Eschweiler, Gerhard W; Berg, Daniela; Fallgatter, Andreas J; Metzger, Florian G

    2015-08-01

    Vagus somatosensory evoked potentials (VSEP) have been shown to have higher latencies with aging, which are even more increased in patients with Alzheimer's disease and subjects with mild cognitive impairment compared to age-matched healthy controls. In this study, the association of VSEP with subjective memory impairment (SMI), a potential risk or prodromal marker for Alzheimer's disease, was examined. The association of VSEP latencies and SMI was studied in a healthy risk cohort, including 358 elderly subjects, who are in a longitudinal study of risk factors for neurodegenerative disorders. The results show increased VSEP latencies for peak P2 at Fz-F4 in subjects who report SMI and are worried about it as compared to subjects who report memory impairment, but are not concerned and subjects without complaints. The results support a potential role of VSEP for the detection of very early neurodegenerative processes which may precede Alzheimer's disease.

  2. SPICA Mid-infrared Instrument (SMI): technical concepts and scientific capabilities

    Science.gov (United States)

    Kaneda, Hidehiro; Ishihara, Daisuke; Oyabu, Shinki; Yamagishi, Mitsuyoshi; Wada, Takehiko; Kawada, Mitsunobu; Isobe, Naoki; Asano, Kentaroh; Suzuki, Toyoaki; Nakagawa, Takao; Matsuhara, Hideo; Sakon, Itsuki; Tsumura, Kohji; Shibai, Hiroshi; Matsuo, Taro

    2016-07-01

    SMI (SPICA Mid-infrared Instrument) is one of the two focal-plane scientific instruments planned for new SPICA, and the Japanese instrument proposed and managed by a university consortium in Japan. SMI covers the wavelength range of 12 to 36 μm, using the following three spectroscopic channels with unprecedentedly high sensitivities: low-resolution spectroscopy (LRS; R = 50 - 120, 17 - 36 μm), mid-resolution spectroscopy (MRS; R = 1300 - 2300, 18 - 36 μm), and high-resolution spectroscopy (HRS; R = 28000, 12 - 18 μm). The key functions of these channels are high-speed dustband mapping with LRS, high-sensitivity multi-purpose spectral mapping with MRS, and high-resolution molecular-gas spectroscopy with HRS. This paper describes the technical concept and scientific capabilities of SMI.

  3. 基于SMI-CMA联合自适应算法的性能分析%Steady-State Analysis Based on Combination of Adaptive SMI Algorithm and CMA

    Institute of Scientific and Technical Information of China (English)

    毛志杰; 徐利民; 吴瑛

    2003-01-01

    恒模算法(CMA)被广泛地应用到盲自适应波束形成中,除了传输信号波形具有恒定的包络外,CMA不需要先验知识.基于SMI-CMA算法的恒模(CM)阵列级联的结构,由SMI算法决定CMA的初始权向量,系统可以分离多个同信道信源,在干扰信号较强时,仍有稳定的SINR输出,具有较好的收敛速度.仿真结果也证明了SMI-CMA算法具有较强的稳健型和较快的收敛速度.

  4. Study the multitarget blind beamforming algorithm based on SMI and LSCMA%SMI-LSCMA盲自适应多波束形成算法研究

    Institute of Scientific and Technical Information of China (English)

    范志攀; 吴瑛; 张莉

    2005-01-01

    提出一种基于协方差矩阵求逆(SMI)和最小二乘恒模(LSCMA)的恒模阵列盲多波束形成算法.该算法由SMI算法决定LSCMA算法的初始权向量,充分利用SMI结合LSCMA算法的所有优点,在干扰信号较强时,确保权向量收敛至弱期望信号.并且有稳定的SINR输出,具有良好的信号分离提取性能.仿真结果证明了SMI-LSCMA算法具有较强的稳健型和较快的收敛速度.

  5. Indexed

    CERN Document Server

    Hagy, Jessica

    2008-01-01

    Jessica Hagy is a different kind of thinker. She has an astonishing talent for visualizing relationships, capturing in pictures what is difficult for most of us to express in words. At indexed.blogspot.com, she posts charts, graphs, and Venn diagrams drawn on index cards that reveal in a simple and intuitive way the large and small truths of modern life. Praised throughout the blogosphere as “brilliant,” “incredibly creative,” and “comic genius,” Jessica turns her incisive, deadpan sense of humor on everything from office politics to relationships to religion. With new material along with some of Jessica’s greatest hits, this utterly unique book will thrill readers who demand humor that makes them both laugh and think.

  6. The Mg II index for upper atmosphere modelling

    Directory of Open Access Journals (Sweden)

    G. Thuillier

    Full Text Available The solar radio flux at 10.7 cm has been used in upper atmosphere density modelling because of its correlation with EUV radiation and its long and complete observational record. A proxy, the Mg II index, for the solar chromospheric activity has been derived by Heath and Schlesinger (1986 from Nimbus-7 data. This index allows one to describe the changes occurring in solar-activity in the UV Sun spectral irradiance. The use of this new proxy in upper atmosphere density modelling will be considered. First, this is supported by the 99.9% correlation between the solar radio flux (F10.7 and the Mg II index over a period of 19 years with, however, large differences on time scales of days to months. Secondly, correlation between EUV emissions and the Mg II index has been shown recently, suggesting that this last index may also be used to describe the EUV variations. Using the same density dataset, a model was first run with the F10.7 index as a solar forcing function and second, with the Mg II index. Comparison of their respective predictions to partial density data showed a 3–8% higher precision when the modelling uses the Mg II index rather than F10.7. An external validation, by means of orbit computation, resulted in a 20–40% smaller RMS of the tracking residuals. A density dataset spanning an entire solar cycle, together with Mg II data, is required to construct an accurate, unbiased as possible density model.

    Key words. Atmospheric composition and structure (middle atmosphere – composition and chemistry; thermosphere – composition and chemistry – History of geophysics (atmospheric sciences

  7. Effects of Sample Size, Estimation Methods, and Model Specification on Structural Equation Modeling Fit Indexes.

    Science.gov (United States)

    Fan, Xitao; Wang, Lin; Thompson, Bruce

    1999-01-01

    A Monte Carlo simulation study investigated the effects on 10 structural equation modeling fit indexes of sample size, estimation method, and model specification. Some fit indexes did not appear to be comparable, and it was apparent that estimation method strongly influenced almost all fit indexes examined, especially for misspecified models. (SLD)

  8. DEVELOPMENT OF SOIL EROSION INDEX MODEL IN TAIWAN WATERSHEDS

    Institute of Scientific and Technical Information of China (English)

    Su-Chin CHEN; Seasir CHIEN; Cheng-Daw HSIEH

    2001-01-01

    With steep terrain and excessive rainfall, Taiwan is affected by severe soil erosion caused by summer typhoons and storms that bring intensive rainfall and rapid fl . However, the actual erosion is much less than the value predicted by the USLE because the soil erosion types in Taiwan are different from those in America which has mild slope and dry weather. Developing a soil erosion index model applicable to Taiwan is the important goal of this research. Five factors, namely, soil texture, rainfall type,slope steepness, ground cover and land use, are included in this model. Soil index factor is measured by Km from the USLE model, and other index factors are calculated from local field data. The soil erosion index model (SEIM) is as follows:SE = 6 × 10-7 AI for AI≤ 50 SE = 0.233AI1.8 for AI > 50 where Al is the total index value, and SE is the soil erosion quantity (ton/ha/yr). After being properly calibrated and verified, SEIM proves to be useful in planning soil and water conservation, and assessing soil erosion impacts in Taiwan.

  9. To Explore the Effect of Sub Consciousness on Sudden Moments of Inspiration (SMI) in the Sketching Process of Industrial Design

    Science.gov (United States)

    Wu, Qun; Wang, Yecheng

    2015-01-01

    The purpose of this study is to identify the occurrence of Sudden Moments of Inspiration (SMI) in the sketching process of industrial design through experiments to explain the effect of sub consciousness on SMI. There are a pre-experiment and a formal experiment. In the formal experiment, nine undergraduates majoring in industrial design with same…

  10. To Explore the Effect of Sub Consciousness on Sudden Moments of Inspiration (SMI) in the Sketching Process of Industrial Design

    Science.gov (United States)

    Wu, Qun; Wang, Yecheng

    2015-01-01

    The purpose of this study is to identify the occurrence of Sudden Moments of Inspiration (SMI) in the sketching process of industrial design through experiments to explain the effect of sub consciousness on SMI. There are a pre-experiment and a formal experiment. In the formal experiment, nine undergraduates majoring in industrial design with same…

  11. Analysis of multinomial models with unknown index using data augmentation

    Science.gov (United States)

    Royle, J. Andrew; Dorazio, R.M.; Link, W.A.

    2007-01-01

    Multinomial models with unknown index ('sample size') arise in many practical settings. In practice, Bayesian analysis of such models has proved difficult because the dimension of the parameter space is not fixed, being in some cases a function of the unknown index. We describe a data augmentation approach to the analysis of this class of models that provides for a generic and efficient Bayesian implementation. Under this approach, the data are augmented with all-zero detection histories. The resulting augmented dataset is modeled as a zero-inflated version of the complete-data model where an estimable zero-inflation parameter takes the place of the unknown multinomial index. Interestingly, data augmentation can be justified as being equivalent to imposing a discrete uniform prior on the multinomial index. We provide three examples involving estimating the size of an animal population, estimating the number of diabetes cases in a population using the Rasch model, and the motivating example of estimating the number of species in an animal community with latent probabilities of species occurrence and detection.

  12. The Adaptive LASSO Spline Estimation of Single-Index Model

    Institute of Scientific and Technical Information of China (English)

    LU Yiqiang; ZHANG Riquan; HU Bin

    2016-01-01

    In this paper,based on spline approximation,the authors propose a unified variable selection approach for single-index model via adaptive L1 penalty.The calculation methods of the proposed estimators are given on the basis of the known lars algorithm.Under some regular conditions,the authors demonstrate the asymptotic properties of the proposed estimators and the oracle properties of adaptive LASSO (aLASSO) variable selection.Simulations are used to investigate the performances of the proposed estimator and illustrate that it is effective for simultaneous variable selection as well as estimation of the single-index models.

  13. Developing Communication Skills in Deaf Primary School Pupils: Introducing and Evaluating the SmiLE Approach

    Science.gov (United States)

    Alton, Sherryn; Herman, Rosalind; Pring, Tim

    2011-01-01

    Many profoundly deaf signers have difficulty communicating with hearing people. This article describes a therapy called "Strategies and Measurable Interaction in Live English" (smiLE; Schamroth and Threadgill, 2007a), an approach used to teach deaf children skills to become successful communicators in real-life situations. This study…

  14. SMI++ object oriented framework used for automation and error recovery in the LHC experiments

    Science.gov (United States)

    Franek, B.; Gaspar, C.

    2010-04-01

    In the SMI++ framework, the real world is viewed as a collection of objects behaving as finite state machines. These objects can represent real entities, such as hardware devices or software tasks, or they can represent abstract subsystems. A special language SML (State Manager Language) is provided for the object description. The SML description is then interpreted by a Logic Engine (coded in C++) to drive the Control System. This allows rule based automation and error recovery. SMI++ objects can run distributed over a variety of platforms, all communication being handled transparently by an underlying communication system - DIM (Distributed Information Management). This framework has been first used by the DELPHI experiment at CERN since 1990 and subsequently by BaBar experiment at SLAC since 1999 for the design and implementation of their experiment control. SMI++ has been adopted at CERN by all LHC experiments in their detector control systems as recommended by the Joint Controls Project. Since then it has undergone many upgrades to provide for varying needs. The main features of the framework and in particular of SML language as well as recent and near future upgrades will be discussed. SMI++ has, so far, been used only by large particle physics experiments. It is, however, equally suitable for any other control applications.

  15. Areas of cat auditory cortex as defined by neurofilament proteins expressing SMI-32.

    Science.gov (United States)

    Mellott, Jeffrey G; Van der Gucht, Estel; Lee, Charles C; Carrasco, Andres; Winer, Jeffery A; Lomber, Stephen G

    2010-08-01

    The monoclonal antibody SMI-32 was used to characterize and distinguish individual areas of cat auditory cortex. SMI-32 labels non-phosphorylated epitopes on the high- and medium-molecular weight subunits of neurofilament proteins in cortical pyramidal cells and dendritic trees with the most robust immunoreactivity in layers III and V. Auditory areas with unique patterns of immunoreactivity included: primary auditory cortex (AI), second auditory cortex (AII), dorsal zone (DZ), posterior auditory field (PAF), ventral posterior auditory field (VPAF), ventral auditory field (VAF), temporal cortex (T), insular cortex (IN), anterior auditory field (AAF), and the auditory field of the anterior ectosylvian sulcus (fAES). Unique patterns of labeling intensity, soma shape, soma size, layers of immunoreactivity, laminar distribution of dendritic arbors, and labeled cell density were identified. Features that were consistent in all areas included: layers I and IV neurons are immunonegative; nearly all immunoreactive cells are pyramidal; and immunoreactive neurons are always present in layer V. To quantify the results, the numbers of labeled cells and dendrites, as well as cell diameter, were collected and used as tools for identifying and differentiating areas. Quantification of the labeling patterns also established profiles for ten auditory areas/layers and their degree of immunoreactivity. Areal borders delineated by SMI-32 were highly correlated with tonotopically-defined areal boundaries. Overall, SMI-32 immunoreactivity can delineate ten areas of cat auditory cortex and demarcate topographic borders. The ability to distinguish auditory areas with SMI-32 is valuable for the identification of auditory cerebral areas in electrophysiological, anatomical, and/or behavioral investigations.

  16. [The role of parental support in the relationship between homophobic bullying, internalized homophobia and psychological distress among sexual-minority youths (SMY): a moderated mediation approach].

    Science.gov (United States)

    Bergeron, Félix-Antoine; Blais, Martin; Hébert, Martine

    2015-01-01

    Introduction Sexual-minority youths (SMY) report high rates of psychological distress such as depression, anxiety and suicidal ideation (Burton, Marshal, Chisolm, Sucato et Friedman, 2013; Williams & Chapman, 2011). Several studies confirm that the poor mental health outcomes are partly related to their high likelihood of experiencing homophobic victimization (Blais, Gervais, Boucher, Hébert & Lavoie, 2013; Taylor & Peter, 2011; Hughes, McCabe, Wilsnack, West & Boyd, 2010; Chamberland, Richard & Bernier, 2013). Whereas the development of a positive sexual minority identity is crucial for the mental health of SMY (Chamberland, Richard & Chevrier, 2011; Rosario, Schrimshaw & Hunter, 2011; Luhtanen, 2002), the victimization they experience put them at risk of internalizing societal homophobia and heterosexism (Meyer, 2003; Hatzenbuehler, 2009). It is important to identify variables that may influence the impact of distal and proximal factors that impact SMY's mental health.Objectives The objectives of this paper are 1) to document different forms of homophobic victimization experienced by SMY, according to gender and age, and 2) to test the potential moderating effect of parental support in the relationship between homophobic victimization, internalized homophobia and psychological distress.Method Data come from 228 SMY aged 14 to 22 years old recruited through online means as part of the Quebec Youth's Romantic Relationships Survey. The impact of homophobic victimization, parental support, and internalized homophobia on psychological distress is explored by a linear regression model including moderated mediation effects.Results Results show the relationship between homophobic victimization and psychological distress as well as indirect significant relationship through internalized homophobia. The moderated mediation analysis also confirms the moderating role of parental support in the relationship between homophobic victimization and psychological distress. Thus

  17. Step-indexed Kripke models over recursive worlds

    DEFF Research Database (Denmark)

    Birkedal, Lars; Reus, Bernhard; Schwinghammer, Jan

    2011-01-01

    worlds that are recursively defined in a category of metric spaces. In this paper, we broaden the scope of this technique from the original domain-theoretic setting to an elementary, operational one based on step indexing. The resulting method is widely applicable and leads to simple, succinct models...

  18. A Study and Model of Machine-Like Indexing Behavior by Human Indexers.

    Science.gov (United States)

    McAllister, Caryl

    Although a large part of a document retrieval system's resources are devoted to indexing, the question of how people do subject indexing has been the subject of much conjecture and only a little experimentation. This dissertation examines the relationships between a document being indexed and the index terms assigned to that document in an attempt…

  19. Protection of avian influenza (AI vaccines for poultry against infection of field isolates A/Chicken/West Java/Smi-Pat/2006 and A/Chicken/West Java/Smi-Mae/2008 under laboratory condition

    Directory of Open Access Journals (Sweden)

    Risa Indriani

    2011-06-01

    Full Text Available The aim of this research was to study level of protection of avian influenza (AI commercial vaccines available in Indonesia (subtipe H5N1, H5N2 and H5N9 against infection of HPAI field isolates of A/Chicken/West Java/Smi-Pat/2006 and A/Chicken/West Java/Smi-Mae/2008. There were 7 commercial vaccines used in this study, the each vaccines were injected in to 3 weeks old of layer chichickenen intramuscularly. At 3 weeks after vaccination, ten chichickenens from each group were challenged separately with the A/Chicken/West Java/Smi-Pat/2006 and A/Chicken/West Java/Smi-Mae/2008 isolates intranasaly with dose 106 ELD50 per 0,1 ml per chicken. Ten unvaccinated chicken were included in the challenge test as control. The study demonstrate that the AI vaccines with subtipe H5N1 protected chicken (100% against virus of A/Chicken/West Java/Smi-Pat/2006 and 90-100% against virus A/Chicken/West Java/Smi-Mae/2008. Viral shedding were not seen by 2 days post challenge. The AI vaccines with subtipe H5N2 protected chicken at 20-30% against virus of A/Chicken/West Java/Smi-Pat/2006 and protected chicken at 70-100% against virus of A/Chicken/West Java/Smi-Mae/2008. Viral shedding still detected at 8 days post challenge. The AI vaccines AI with subtipe H5N9 did not protect chicken (0% against virus A/Chicken/West Java/Smi-Pat/2006 and protected chicken at 50% against virus A/Chicken/West Java/Smi-Mae/2008. Viral shedding still detected by 8 days post challenge. This study concluded that AI vaccines with subtipe H5N1 are better than other AI subtipe vaccines in preventing HPAI virus A/Chicken/West Java/Smi-Pat/2006 dan A/Chicken/West Java/Smi-Mae/2008 infections under laboratory condition.

  20. An index model for measuring microblog users’ influence

    Institute of Scientific and Technical Information of China (English)

    Fuyong; YUAN; Jing; FENG; Qianqian; FU

    2012-01-01

    Purpose:The paper aims to build an index model for measuring microblog users’influence by taking microbloggers of Sina Weibo as a research sample.Design/methodology/approach:Our user influence index model emphasizes link analysis and user activities in the microblogging network.We conduct experiments to investigate the performance of our model by using data crawled from Sina Weibo.Findings:User influence is correlated to the attention that a user has received from his/her audience,the user’s activities and his/her tweets’influence.Experimental results show that our model can reflect microbloggers’influence in a more reasonable way.Research limitations:More factors need to be considered to identify different influential users at different time periods.Practical implications:The results of the study provide us with insights both into the way to measure microblog users’influence and to rank users based on their influence.Originality/value:By combining link analysis and user activities,this index model can reduce the impact of dummy follower accounts on user influence,reflecting a user’s real influence in the microblog system.

  1. High-precision structural analysis of subnuclear complexes in fixed and live cells via spatially modulated illumination (SMI) microscopy.

    Science.gov (United States)

    Reymann, Jürgen; Baddeley, David; Gunkel, Manuel; Lemmer, Paul; Stadter, Werner; Jegou, Thibaud; Rippe, Karsten; Cremer, Christoph; Birk, Udo

    2008-01-01

    Spatially modulated illumination (SMI) microscopy is a method of wide field fluorescence microscopy featuring interferometric illumination, which delivers structural information about nanoscale architecture in fluorescently labelled cells. The first prototype of the SMI microscope proved its applicability to a wide range of biological questions. For the SMI live cell imaging this system was enhanced in terms of the development of a completely new upright configuration. This so called Vertico-SMI transfers the advantages of SMI nanoscaling to vital biological systems, and is shown to work consistently at different temperatures using both oil- and water-immersion objective lenses. Furthermore, we increased the speed of data acquisition to minimize errors in the detection signal resulting from cellular or object movement. By performing accurate characterization, the present Vertico-SMI now offers a fully-fledged microscope enabling a complete three-dimensional (3D) SMI data stack to be acquired in less than 2 seconds. We have performed live cell measurements of a tet-operator repeat insert in U2OS cells, which provided the first in vivo signatures of subnuclear complexes. Furthermore, we have successfully implemented an optional optical configuration allowing the generation of high-resolution localization microscopy images of a nuclear pore complex distribution.

  2. Subspaces indexing model on Grassmann manifold for image search.

    Science.gov (United States)

    Wang, Xinchao; Li, Zhu; Tao, Dacheng

    2011-09-01

    Conventional linear subspace learning methods like principal component analysis (PCA), linear discriminant analysis (LDA) derive subspaces from the whole data set. These approaches have limitations in the sense that they are linear while the data distribution we are trying to model is typically nonlinear. Moreover, these algorithms fail to incorporate local variations of the intrinsic sample distribution manifold. Therefore, these algorithms are ineffective when applied on large scale datasets. Kernel versions of these approaches can alleviate the problem to certain degree but face a serious computational challenge when data set is large, where the computing involves Eigen/QP problems of size N × N. When N is large, kernel versions are not computationally practical. To tackle the aforementioned problems and improve recognition/searching performance, especially on large scale image datasets, we propose a novel local subspace indexing model for image search termed Subspace Indexing Model on Grassmann Manifold (SIM-GM). SIM-GM partitions the global space into local patches with a hierarchical structure; the global model is, therefore, approximated by piece-wise linear local subspace models. By further applying the Grassmann manifold distance, SIM-GM is able to organize localized models into a hierarchy of indexed structure, and allow fast query selection of the optimal ones for classification. Our proposed SIM-GM enjoys a number of merits: 1) it is able to deal with a large number of training samples efficiently; 2) it is a query-driven approach, i.e., it is able to return an effective local space model, so the recognition performance could be significantly improved; 3) it is a common framework, which can incorporate many learning algorithms. Theoretical analysis and extensive experimental results confirm the validity of this model.

  3. Inference of change-point in single index models

    Institute of Scientific and Technical Information of China (English)

    CAO GuanQun; WANG ZhanFeng; WU YaoHua; ZHAO LinCheng

    2008-01-01

    Single index models are widely used in medicine,econometrics and some other fields.In this paper,we consider the inference of a change point problem in single index models.Based on density-weighted average derivative estimation (ADE) method,we propose a statistic to test whether a change point exists or not.The null distribution of the test statistic is obtained using a permutation technique.The permuted statistic is rigorously shown to have the same distribution in the limiting sense under both null and alternative hypotheses.After the null hypothesis of no change point is rejected,an ADE-based estimate of the change point is proposed under assumption that the change point is unique.A simulation study confirms the theoretical results.

  4. Inference of change-point in single index models

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Single index models are widely used in medicine, econometrics and some other fields. In this paper, we consider the inference of a change point problem in single index models. Based on density-weighted average derivative estimation (ADE) method, we propose a statistic to test whether a change point exists or not. The null distribution of the test statistic is obtained using a permutation technique. The permuted statistic is rigorously shown to have the same distribution in the limiting sense under both null and alternative hypotheses. After the null hypothesis of no change point is rejected, an ADE-based estimate of the change point is proposed under assumption that the change point is unique. A simulation study confirms the theoretical results.

  5. Development and application of a short- /long-term composited drought index in the upper Huaihe River basin, China

    Science.gov (United States)

    Yu, M.; Li, Q.; Lu, G.; Wang, H.; Li, P.

    2015-06-01

    Accurate and reliable drought monitoring is of primary importance for drought mitigation and reduction of social-ecological vulnerability. The aim of the paper was to propose a short-term/long-term composited drought index (CDI) which could be widely used for drought monitoring and early warning in China. In the study, the upper Huaihe River basin above the Xixian gauge station, which has been hit by severe droughts frequently in recent decades, was selected as the case study site. The short-term CDI was developed by the Principle Component Analysis of the self-calibrating Palmer Drought Severity Index (sc-PDSI), the 1- and 3-month Standardized Precipitation Evapotranspiration Index (SPEI), Z Index (ZIND), the Soil Moisture Index (SMI) with the long-term CDI being formulated by use of the self-calibrating Palmer Hydrology Drought Index (sc-PHDI), the 6-, 12-, 18- and 24-month SPEI, the Standardized Streamflow Index (SSI), the SMI. The sc-PDSI, the PHDI, the ZIND, the SPEI on a monthly time scale were calculated based on the monthly air temperature and precipitation, and the monthly SMI and SSI were computed based on the simulated soil moisture and runoff by the distributed Xinanjiang model. The thresholds of the short-term/long-term CDI were determined according to frequency statistics of different drought indices. Finally, the feasibility of the two CDIs was investigated against the scPDSI, the SPEI and the historical drought records. The results revealed that the short-term/long-term CDI could capture the onset, severity, persistence of drought events very well with the former being better at identifying the dynamic evolution of drought condition while the latter better at judging the changing trend of drought over a long time period.

  6. 3D Model Retrieval Based on Semantic and Shape Indexes

    CERN Document Server

    Kassimi, My Abdellah

    2011-01-01

    The size of 3D models used on the web or stored in databases is becoming increasingly high. Then, an efficient method that allows users to find similar 3D objects for a given 3D model query has become necessary. Keywords and the geometry of a 3D model cannot meet the needs of users' retrieval because they do not include the semantic information. In this paper, a new method has been proposed to 3D models retrieval using semantic concepts combined with shape indexes. To obtain these concepts, we use the machine learning methods to label 3D models by k-means algorithm in measures and shape indexes space. Moreover, semantic concepts have been organized and represented by ontology language OWL and spatial relationships are used to disambiguate among models of similar appearance. The SPARQL query language has been used to question the information displayed in this language and to compute the similarity between two 3D models. We interpret our results using the Princeton Shape Benchmark Database and the results show ...

  7. Parametric or nonparametric? A parametricness index for model selection

    CERN Document Server

    Liu, Wei; 10.1214/11-AOS899

    2012-01-01

    In model selection literature, two classes of criteria perform well asymptotically in different situations: Bayesian information criterion (BIC) (as a representative) is consistent in selection when the true model is finite dimensional (parametric scenario); Akaike's information criterion (AIC) performs well in an asymptotic efficiency when the true model is infinite dimensional (nonparametric scenario). But there is little work that addresses if it is possible and how to detect the situation that a specific model selection problem is in. In this work, we differentiate the two scenarios theoretically under some conditions. We develop a measure, parametricness index (PI), to assess whether a model selected by a potentially consistent procedure can be practically treated as the true model, which also hints on AIC or BIC is better suited for the data for the goal of estimating the regression function. A consequence is that by switching between AIC and BIC based on the PI, the resulting regression estimator is si...

  8. Build a better mouse: directly-observed issues in computer use for adults with SMI.

    Science.gov (United States)

    Black, Anne C; Serowik, Kristin L; Schensul, Jean J; Bowen, Anne M; Rosen, Marc I

    2013-03-01

    Integrating information technology into healthcare has the potential to bring treatment to hard-to-reach people. Individuals with serious mental illness (SMI), however, may derive limited benefit from these advances in care because of lack of computer ownership and experience. To date, conclusions about the computer skills and attitudes of adults with SMI have been based primarily on self-report. In the current study, 28 psychiatric outpatients with co-occurring cocaine use were interviewed about their computer use and opinions, and 25 were then directly observed using task analysis and think aloud methods as they navigated a multi-component health informational website. Participants reported low rates of computer ownership and use, and negative attitudes towards computers. Self-reported computer skills were higher than demonstrated in the task analysis. However, some participants spontaneously expressed more positive attitudes and greater computer self-efficacy after navigating the website. Implications for increasing access to computer-based health information are discussed.

  9. Predictors of general and violent recidivism among SMI prisoners returning to communities in New York State.

    Science.gov (United States)

    Hall, Donna L; Miraglia, Richard P; Lee, Li-Wen G; Chard-Wierschem, Deborah; Sawyer, Donald

    2012-01-01

    Correctional and forensic mental health systems throughout the country are routinely called on to manage and provide treatment for mentally ill prison inmates. This study identifies criminal justice and mental health predictors of general re-arrest and re-arrest for violence in seriously mentally ill (SMI) persons leaving prison in New York State. Both length and diversity of criminal history predicted general re-arrest, as did substance abuse diagnoses, participation in community mental health treatment, parole supervision, and coordinated parole and mental health services. Only demographics and criminal justice measures were predictive of re-arrest for violence. The rate of re-arrest for violence in this SMI sample was lower than that of general prison release populations.

  10. A New Asymmetric α-Amido-hydroxyalkylation Mediated by SmI2

    Institute of Scientific and Technical Information of China (English)

    ZHENG Xiao; FENG Chen-Guo; HUNG Pei-Qiang

    2004-01-01

    Polyhydroxylated indolizidine alkaloids, such as castanospermine (Ⅰ) and swainsonine (H)are of longstanding interest due to their powerful glycosidase inhibitory activity. Asymmetric hydroxyatkylation via α-amido carbanions to form C-C bands would provide a convenient approach to these compounds.In continuation of our efforts in developing asyrmmetric o-amido-hydroxyalkylation method,1 we report a new SmI2 mediated flexible asymmetric α-amido-hydroxyalkylation method. Starting from the known (S)-3-hydroxy-2-pyrrolidinone 1,2 sulfide 2 and 3 were prepared. SmI2-mediated reductive metallation of these sulfides followed by reaction with ketones or aldehydes under Barbier conditions provided C2 hydroxyalkylated products 4 in yields ranged from 30% to 83%. High C2/C3 trans diastereoselectivity and mediocre diastereoselectivity at newly formed carbinolic center have been observed. The present method will open an avenue for the asymmetric synthesis of polyhydroxylated indolizidine alkaloids.

  11. The Slug Mucosal Irritation (SMI) assay: a tool for the evaluation of nasal discomfort.

    Science.gov (United States)

    Lenoir, Joke; Bachert, Claus; Remon, Jean-Paul; Adriaens, Els

    2013-09-01

    In this research project, the Slug Mucosal Irritation (SMI) assay was applied to predict nasal discomfort, investigating the correlation between responses in slugs and humans. Several SMI experiments and a Human Nose Irritation Test (HNIT) were performed with five NaCl solutions (0.4%, 1.3%, 2.6%, 5.4% and 10.4%) and two benzalkonium chloride solutions (BAC 0.02% and BAC 0.05%). In the HNIT, subjective evaluation of clinical discomfort was performed by 24 participants at several time points. Analyzes reveal that (1) a significant positive association existed between immediate stinging reaction reported by the participants and the mean total mucus production of the slugs (Spearman's Rank correlation=0.963, passay is a promising evaluation method for clinical nasal discomfort. Screening (prototype) formulations with this assay allows formula optimization prior to a clinical trial.

  12. Research on Storage Management Initiative Specification and Its Application%SMI-S架构及其应用现状分析

    Institute of Scientific and Technical Information of China (English)

    张慧成; 谢向辉

    2006-01-01

    本文首先介绍了SMI-S的起缘与目标,然后详细讨论了管理接口的能力、SMI-S的工作原理及实现互操作的机制,指出了SMI-S所拥有的优势特征,探讨了SMI-S的应用现状及发展趋势,最后提出了关于SMI-S的应用设想.

  13. KHMDS enhanced SmI(2)-mediated reformatsky type alpha-cyanation.

    Science.gov (United States)

    Ankner, Tobias; Fridén-Saxin, Maria; Pemberton, Nils; Seifert, Tina; Grøtli, Morten; Luthman, Kristina; Hilmersson, Göran

    2010-05-21

    A novel combination of SmI(2), KHMDS, and TsCN can be utilized to introduce a cyano group into structurally diverse and highly sensitive 2-alkyl-chroman-4-ones. Subsequent oxidation allows the formed 2-alkyl-3-cyanochromones to be isolated in yields ranging from 49 to 77%. In addition, alpha-bromoketones and esters were found to undergo equally effective alpha-cyanation.

  14. Single-Index Additive Vector Autoregressive Time Series Models

    KAUST Repository

    LI, YEHUA

    2009-09-01

    We study a new class of nonlinear autoregressive models for vector time series, where the current vector depends on single-indexes defined on the past lags and the effects of different lags have an additive form. A sufficient condition is provided for stationarity of such models. We also study estimation of the proposed model using P-splines, hypothesis testing, asymptotics, selection of the order of the autoregression and of the smoothing parameters and nonlinear forecasting. We perform simulation experiments to evaluate our model in various settings. We illustrate our methodology on a climate data set and show that our model provides more accurate yearly forecasts of the El Niño phenomenon, the unusual warming of water in the Pacific Ocean. © 2009 Board of the Foundation of the Scandinavian Journal of Statistics.

  15. A Price Index Model for Road Freight Transportation and Its Empirical analysis in China

    Directory of Open Access Journals (Sweden)

    Liu Zhishuo

    2017-01-01

    Full Text Available The aim of price index for road freight transportation (RFT is to reflect the changes of price in the road transport market. Firstly, a price index model for RFT based on the sample data from Alibaba logistics platform is built. This model is a three levels index system including total index, classification index and individual index and the Laspeyres method is applied to calculate these indices. Finally, an empirical analysis of the price index for RFT market in Zhejiang Province is performed. In order to demonstrate the correctness and validity of the exponential model, a comparative analysis with port throughput and PMI index is carried out.

  16. Efficacy and safety of tiotropium Respimat® SMI in COPD in two 1-year randomized studies

    Directory of Open Access Journals (Sweden)

    Eric Bateman

    2010-06-01

    Full Text Available Eric Bateman1, Dave Singh2, David Smith3, Bernd Disse4, Lesley Towse5, Dan Massey5, Jon Blatchford5, Demetri Pavia5, Rick Hodder61Division of Pulmonology, Department of Medicine, University of Cape Town, Cape Town, South Africa; 2University Hospital of South Manchester Foundation Trust, University of Manchester, Manchester, UK; 3North Bristol Lung Centre, Southmead Hospital, Bristol, UK; 4Boehringer Ingelheim, GmbH, Ingelheim, Germany; 5Boehringer Ingelheim, Ltd., Bracknell, Berkshire, UK; 6Divisions of Pulmonary and Critical Care Medicine, University of Ottawa, Ottawa, Ontario, CanadaAbstract: Two 1-year studies evaluated the long-term efficacy and safety of tiotropium 5 or 10 μg versus placebo, inhaled via the Respimat® Soft MistTM Inhaler (SMI. The two studies were combined and had 4 co-primary endpoints (trough FEV1 response, Mahler Transition Dyspnea Index [TDI] and St George’s Respiratory Questionnaire scores all at week 48, and COPD exacerbations per patient-year. A total of 1990 patients with COPD participated (mean FEV1: 1.09 L. The mean trough FEV1 response of tiotropium 5 or 10 μg relative to placebo was 127 or 150 mL, respectively (both P < 0.0001. The COPD exacerbation rate was significantly lower with tiotropium 5 μg (RR = 0.78; P = 0.002 and tiotropium 10 μg (RR = 0.73; P = 0.0008; the health-related quality of life and Mahler TDI co-primary endpoints were significantly improved with both doses (both P < 0.0001. Adverse events were generally balanced except anticholinergic class effects, which were more frequent with active treatment. Fatal events occurred in 2.4% (5 μg, 2.7% (10 μg, and 1.6% (placebo of patients; these differences were not significant. Tiotropium Respimat® SMI 5 μg demonstrated sustained improvements in patients with COPD relative to placebo and similar to the 10 μg dose but with a lower frequency of anticholinergic adverse events.Keywords: COPD, exacerbations, FEV1, quality of life, Respimat

  17. Modeling semantic aspects for cross-media image indexing.

    Science.gov (United States)

    Monay, Florent; Gatica-Perez, Daniel

    2007-10-01

    To go beyond the query-by-example paradigm in image retrieval, there is a need for semantic indexing of large image collections for intuitive text-based image search. Different models have been proposed to learn the dependencies between the visual content of an image set and the associated text captions, then allowing for the automatic creation of semantic indices for unannotated images. The task, however, remains unsolved. In this paper, we present three alternatives to learn a Probabilistic Latent Semantic Analysis model (PLSA) for annotated images, and evaluate their respective performance for automatic image indexing. Under the PLSA assumptions, an image is modeled as a mixture of latent aspects that generates both image features and text captions, and we investigate three ways to learn the mixture of aspects. We also propose a more discriminative image representation than the traditional Blob histogram, concatenating quantized local color information and quantized local texture descriptors. The first learning procedure of a PLSA model for annotated images is a standard EM algorithm, which implicitly assumes that the visual and the textual modalities can be treated equivalently. The other two models are based on an asymmetric PLSA learning, allowing to constrain the definition of the latent space on the visual or on the textual modality. We demonstrate that the textual modality is more appropriate to learn a semantically meaningful latent space, which translates into improved annotation performance. A comparison of our learning algorithms with respect to recent methods on a standard dataset is presented, and a detailed evaluation of the performance shows the validity of our framework.

  18. Leaf Area Index in Earth System Models: evaluation and projections

    Directory of Open Access Journals (Sweden)

    N. Mahowald

    2015-04-01

    Full Text Available The amount of leaves in a plant canopy (measured as leaf area index, LAI modulates key land–atmosphere interactions, including the exchange of energy, moisture, carbon dioxide (CO2, and other trace gases, and is therefore an essential variable in predicting terrestrial carbon, water, and energy fluxes. The latest generation of Earth system models (ESMs simulate LAI, as well as provide projections of LAI in the future to improve simulations of biophysical and biogeochemical processes, and for use in climate impact studies. Here we use satellite measurements of LAI to answer the following questions: (1 are the models accurately simulating the mean LAI spatial distribution? (2 Are the models accurately simulating the seasonal cycle in LAI? (3 Are the models correctly simulating the processes driving interannual variability in the current climate? And finally based on this analysis, (4 can we reduce the uncertainty in future projections of LAI by using each model's skill in the current climate? Overall, models are able to capture some of the main characteristics of the LAI mean and seasonal cycle, but all of the models can be improved in one or more regions. Comparison of the modeled and observed interannual variability in the current climate suggested that in high latitudes the models may overpredict increases in LAI based on warming temperature, while in the tropics the models may overpredict the negative impacts of warming temperature on LAI. We expect, however, larger uncertainties in observational estimates of interannual LAI compared to estimates of seasonal or mean LAI. Future projections of LAI by the ESMs are largely optimistic, with only limited regions seeing reductions in LAI. Future projections of LAI in the models are quite different, and are sensitive to climate model projections of precipitation. They also strongly depend on the amount of carbon dioxide fertilization in high latitudes. Based on comparisons between model simulated

  19. The Precession Index and a Nonlinear Energy Balance Climate Model

    Science.gov (United States)

    Rubincam, David

    2004-01-01

    A simple nonlinear energy balance climate model yields a precession index-like term in the temperature. Despite its importance in the geologic record, the precession index e sin (Omega)S, where e is the Earth's orbital eccentricity and (Omega)S is the Sun's perigee in the geocentric frame, is not present in the insolation at the top of the atmosphere. Hence there is no one-for-one mapping of 23,000 and 19,000 year periodicities from the insolation to the paleoclimate record; a nonlinear climate model is needed to produce these long periods. A nonlinear energy balance climate model with radiative terms of form T n, where T is surface temperature and n less than 1, does produce e sin (omega)S terms in temperature; the e sin (omega)S terms are called Seversmith psychroterms. Without feedback mechanisms, the model achieves extreme values of 0.64 K at the maximum orbital eccentricity of 0.06, cooling one hemisphere while simultaneously warming the other; the hemisphere over which perihelion occurs is the cooler. In other words, the nonlinear energy balance model produces long-term cooling in the northern hemisphere when the Sun's perihelion is near northern summer solstice and long-term warming in the northern hemisphere when the aphelion is near northern summer solstice. (This behavior is similar to the inertialess gray body which radiates like T 4, but the amplitude is much lower for the energy balance model because of its thermal inertia.) This seemingly paradoxical behavior works against the standard Milankovitch model, which requires cool northern summers (Sun far from Earth in northern summer) to build up northern ice sheets, so that if the standard model is correct it must be more efficient than previously thought. Alternatively, the new mechanism could possibly be dominant and indicate southern hemisphere control of the northern ice sheets, wherein the southern oceans undergo a long-term cooling when the Sun is far from the Earth during northern summer. The cold

  20. Use of remotely sensed precipitation and leaf area index in a distributed hydrological model

    DEFF Research Database (Denmark)

    Andersen, Jens; Dybkjær, Gorm Ibsen; Jensen, Karsten Høgh

    2002-01-01

    distributed hydrological modelling, remote sensing, precipitation, leaf area index, NOAA AVHRR, cold cloud duration......distributed hydrological modelling, remote sensing, precipitation, leaf area index, NOAA AVHRR, cold cloud duration...

  1. Stigma Related Avoidance in People Living with Severe Mental Illness (SMI): Findings of an Integrative Review.

    Science.gov (United States)

    Abiri, Sadat; Oakley, Linda Denise; Hitchcock, Mary E; Hall, Amanda

    2016-04-01

    The purpose of this integrative review is to synthesize primary evidence of the impact of internalized stigma on avoidance in adult community treatment patients living with SMI. A keyword database search of articles published through 2015 yielded 21 papers and a total of 4256 patients. Our analyses found that stigmatizing beliefs associated with avoidance are related to significant loss of self-esteem. Factors generally thought to reduce stigma internalized as self-stigmatizing beliefs, such as improved insight, increased self-awareness, and psycho-education to improve stigma coping skills, do not appear to improve self-esteem.

  2. Generics, Supergenerics and Patent Strategies--SMi's 13th Annual Meeting.

    Science.gov (United States)

    Edwards, Catherine

    2010-07-01

    SMi's 13th Annual Meeting on Generics, Supergenerics and Patent Strategies, held in London, included topics covering new trends in the generics field, the difficulties faced by companies in entering the generics market and recent developments in IP. This conference report highlights selected presentations on generics in India, protecting pharmaceutical products in China, changes in generics law and litigation in the US and Europe, challenges for market selection and entry for generics companies, the influence of changes in the healthcare market on the generics industry, supergenerics, and biosimilars.

  3. Using a Simple Parcel Model to Investigate the Haines Index

    Science.gov (United States)

    Mary Ann Jenkins; Steven K. Krueger; Ruiyu Sun

    2003-01-01

    The Haines Index (Haines 1988) ia fire-weather index based on stability and moisture conditions of the lower atmosphere that rates the potential for large fire growth or extreme fire behavior. The Hained Index is calculated by adding a temperature term a to a moisture term b.

  4. View subspaces for indexing and retrieval of 3D models

    CERN Document Server

    Dutagaci, Helin; Sankur, Bulent; Yemez, Yücel

    2011-01-01

    View-based indexing schemes for 3D object retrieval are gaining popularity since they provide good retrieval results. These schemes are coherent with the theory that humans recognize objects based on their 2D appearances. The viewbased techniques also allow users to search with various queries such as binary images, range images and even 2D sketches. The previous view-based techniques use classical 2D shape descriptors such as Fourier invariants, Zernike moments, Scale Invariant Feature Transform-based local features and 2D Digital Fourier Transform coefficients. These methods describe each object independent of others. In this work, we explore data driven subspace models, such as Principal Component Analysis, Independent Component Analysis and Nonnegative Matrix Factorization to describe the shape information of the views. We treat the depth images obtained from various points of the view sphere as 2D intensity images and train a subspace to extract the inherent structure of the views within a database. We a...

  5. Crystal structures of histone and p53 methyltransferase SmyD2 reveal a conformational flexibility of the autoinhibitory C-terminal domain.

    Directory of Open Access Journals (Sweden)

    Yuanyuan Jiang

    Full Text Available SmyD2 belongs to a new class of chromatin regulators that control gene expression in heart development and tumorigenesis. Besides methylation of histone H3 K4, SmyD2 can methylate non-histone targets including p53 and the retinoblastoma tumor suppressor. The methyltransferase activity of SmyD proteins has been proposed to be regulated by autoinhibition via the intra- and interdomain bending of the conserved C-terminal domain (CTD. However, there has been no direct evidence of a conformational change in the CTD. Here, we report two crystal structures of SmyD2 bound either to the cofactor product S-adenosylhomocysteine or to the inhibitor sinefungin. SmyD2 has a two-lobed structure with the active site located at the bottom of a deep crevice formed between the CTD and the catalytic domain. By extensive engagement with the methyltransferase domain, the CTD stabilizes the autoinhibited conformation of SmyD2 and restricts access to the catalytic site. Unexpectedly, despite that the two SmyD2 structures are highly superimposable, significant differences are observed in the first two helices of the CTDs: the two helices bend outwards and move away from the catalytic domain to generate a less closed conformation in the sinefungin-bound structure. Although the overall fold of the individual domains is structurally conserved among SmyD proteins, SmyD2 appear to be a conformational "intermediate" between a close form of SmyD3 and an open form of SmyD1. In addition, the structures reveal that the CTD is structurally similar to tetratricopeptide repeats (TPR, a motif through which many cochaperones bind to the heat shock protein Hsp90. Our results thus provide the first evidence for the intradomain flexibility of the TPR-like CTD, which may be important for the activation of SmyD proteins by Hsp90.

  6. Recovering incomplete data using Statistical Multiple Imputations (SMI): a case study in environmental chemistry.

    Science.gov (United States)

    Mercer, Theresa G; Frostick, Lynne E; Walmsley, Anthony D

    2011-10-15

    This paper presents a statistical technique that can be applied to environmental chemistry data where missing values and limit of detection levels prevent the application of statistics. A working example is taken from an environmental leaching study that was set up to determine if there were significant differences in levels of leached arsenic (As), chromium (Cr) and copper (Cu) between lysimeters containing preservative treated wood waste and those containing untreated wood. Fourteen lysimeters were setup and left in natural conditions for 21 weeks. The resultant leachate was analysed by ICP-OES to determine the As, Cr and Cu concentrations. However, due to the variation inherent in each lysimeter combined with the limits of detection offered by ICP-OES, the collected quantitative data was somewhat incomplete. Initial data analysis was hampered by the number of 'missing values' in the data. To recover the dataset, the statistical tool of Statistical Multiple Imputation (SMI) was applied, and the data was re-analysed successfully. It was demonstrated that using SMI did not affect the variance in the data, but facilitated analysis of the complete dataset.

  7. Both electrical stimulation thresholds and SMI-32-immunoreactive retinal ganglion cell density correlate with age in S334ter line 3 rat retina.

    Science.gov (United States)

    Chan, Leanne L H; Lee, Eun-Jin; Humayun, Mark S; Weiland, James D

    2011-06-01

    Electrical stimulation threshold and retinal ganglion cell density were measured in a rat model of retinal degeneration. We performed in vivo electrophysiology and morphometric analysis on normal and S334ter line 3 (RD) rats (ages 84-782 days). We stimulated the retina in anesthetized animals and recorded evoked responses in the superior colliculus. Current pulses were delivered with a platinum-iridium (Pt-Ir) electrode of 75-μm diameter positioned on the epiretinal surface. In the same animals used for electrophysiology, SMI-32 immunolabeling of the retina enabled ganglion cell counting. An increase in threshold currents positively correlated with age of RD rats. SMI-32-labeled retinal ganglion cell density negatively correlated with age of RD rats. ANOVA shows that RD postnatal day (P)100 and P300 rats have threshold and density similar to normal rats, but RD P500 and P700 rats have threshold and density statistically different from normal rats (P < 0.05). Threshold charge densities were within the safety limits of Pt for all groups and pulse configurations, except at RD P600 and RD P700, where pulses were only safe up to 1- and 0.2-ms duration, respectively. Preservation of ganglion cells may enhance the efficiency and safety of electronic retinal implants.

  8. Dynamic hydrologic modeling using the zero-parameter Budyko model with instantaneous dryness index

    Science.gov (United States)

    Biswal, Basudev

    2016-09-01

    Long-term partitioning of hydrologic quantities is achieved by using the zero-parameter Budyko model which defines a dryness index. However, this approach is not suitable for dynamic partitioning particularly at diminishing timescales, and therefore, a universally applicable zero-parameter model remains elusive. Here an instantaneous dryness index is proposed which enables dynamic hydrologic modeling using the Budyko model. By introducing a "decay function" that characterizes the effects of antecedent rainfall and solar energy on the dryness state of a basin at a time, I propose the concept of instantaneous dryness index and use the Budyko function to perform continuous hydrologic partitioning. Using the same decay function, I then obtain discharge time series from the effective rainfall time series. The model is evaluated by considering data form 63 U.S. Geological Survey basins. Results indicate the possibility of using the proposed framework as an alternative platform for prediction in ungagued basins.

  9. [Developing a predictive model for the caregiver strain index].

    Science.gov (United States)

    Álvarez-Tello, Margarita; Casado-Mejía, Rosa; Praena-Fernández, Juan Manuel; Ortega-Calvo, Manuel

    Patient homecare with multiple morbidities is an increasingly common occurrence. The caregiver strain index is tool in the form of questionnaire that is designed to measure the perceived burden of those who care for their families. The aim of this study is to construct a diagnostic nomogram of informal caregiver burden using data from a predictive model. The model was drawn up using binary logistic regression and the questionnaire items as dichotomous factors. The dependent variable was the final score obtained with the questionnaire but categorised in accordance with that in the literature. Scores between 0 and 6 were labelled as "no" (no caregiver stress) and at or greater than 7 as "yes". The version 3.1.1R statistical software was used. To construct confidence intervals for the ROC curve 2000 boot strap replicates were used. A sample of 67 caregivers was obtained. A diagnosing nomogram was made up with its calibration graph (Brier scaled = 0.686, Nagelkerke R(2)=0.791), and the corresponding ROC curve (area under the curve=0.962). The predictive model generated using binary logistic regression and the nomogram contain four items (1, 4, 5 and 9) of the questionnaire. R plotting functions allow a very good solution for validating a model like this. The area under the ROC curve (0.96; 95% CI: 0.994-0.941) achieves a high discriminative value. Calibration also shows high goodness of fit values, suggesting that it may be clinically useful in community nursing and geriatric establishments. Copyright © 2015 SEGG. Publicado por Elsevier España, S.L.U. All rights reserved.

  10. Generalized Functional Linear Models With Semiparametric Single-Index Interactions

    KAUST Repository

    Li, Yehua

    2010-06-01

    We introduce a new class of functional generalized linear models, where the response is a scalar and some of the covariates are functional. We assume that the response depends on multiple covariates, a finite number of latent features in the functional predictor, and interaction between the two. To achieve parsimony, the interaction between the multiple covariates and the functional predictor is modeled semiparametrically with a single-index structure. We propose a two step estimation procedure based on local estimating equations, and investigate two situations: (a) when the basis functions are pre-determined, e.g., Fourier or wavelet basis functions and the functional features of interest are known; and (b) when the basis functions are data driven, such as with functional principal components. Asymptotic properties are developed. Notably, we show that when the functional features are data driven, the parameter estimates have an increased asymptotic variance, due to the estimation error of the basis functions. Our methods are illustrated with a simulation study and applied to an empirical data set, where a previously unknown interaction is detected. Technical proofs of our theoretical results are provided in the online supplemental materials.

  11. The slug mucosal irritation (SMI) assay: development of a screening tool for the evaluation of ocular discomfort caused by shampoos.

    Science.gov (United States)

    Lenoir, Joke; Claerhout, Ilse; Kestelyn, Philippe; Klomp, Andre; Remon, Jean-Paul; Adriaens, Els

    2011-12-01

    In this research, the slug mucosal irritation (SMI) assay was applied to predict ocular discomfort caused by shampoos to investigate the correlation between responses in slugs and humans. Several SMI experiments and a human eye irritation test (HEIT) were performed with 1 artificial tear solution (ArtTear) and 5 shampoos (A-E; 5%-dilution). In the HEIT, evaluation was performed by participants and an ophthalmologist at several time points. Analyses reveal that (1) a significant positive association existed between immediate stinging reaction reported by the participants and the mean total mucus produced by the slugs (MTMP) (Spearman's Rank correlation=0.986, pSMI assay is a promising evaluation method for discomfort in the human eye. Screening prototype (eye) formulations with this assay allows formula optimization prior to a HEIT.

  12. Studies on the mechanism, selectivity, and synthetic utility of lactone reduction using SmI(2) and H(2)O.

    Science.gov (United States)

    Parmar, Dixit; Duffy, Lorna A; Sadasivam, Dhandapani V; Matsubara, Hiroshi; Bradley, Paul A; Flowers, Robert A; Procter, David J

    2009-10-28

    Although simple aliphatic esters and lactones have long been thought to lie outside the reducing range of SmI(2), activation of the lanthanide reagent by H(2)O allows some of these substrates to be manipulated in an unprecedented fashion. For example, the SmI(2)-H(2)O reducing system shows complete selectivity for the reduction of 6-membered lactones over other classes of lactones and esters. The kinetics of reduction has been studied using stopped-flow spectrophotometry. Experimental and computational studies suggest that the origin of the selectivity lies in the initial electron-transfer to the lactone carbonyl. The radical intermediates formed during lactone reduction with SmI(2)-H(2)O can be exploited in cyclizations to give cyclic ketone (or ketal) products with high diastereoselectivity. The cyclizations constitute the first examples of ester-alkene radical cyclizations in which the ester carbonyl acts as an acyl radical equivalent.

  13. Neurofilament proteins are preferentially expressed in descending output neurons of the cat the superior colliculus: a study using SMI-32.

    Science.gov (United States)

    Fuentes-Santamaria, V; Stein, B E; McHaffie, J G

    2006-01-01

    Physiological studies indicate that the output neurons in the multisensory (i.e. intermediate and deep) laminae of the cat superior colliculus receive converging information from widespread regions of the neuraxis, integrate this information, and then relay the product to regions of the brainstem involved in the control of head and eye movements. Yet, an understanding of the neuroanatomy of these converging afferents has been hampered because many terminals contact distal dendrites that are difficult to label with the neurochemical markers generally used to visualize superior colliculus output neurons. Here we show that the SMI-32 antibody, directed at the non-phosphorylated epitopes of high molecular weight neurofilament proteins, is an effective marker for these superior colliculus output neurons. It is also one that can label their distal dendrites. Superior colliculus sections processed for SMI-32 revealed numerous labeled neurons with varying morphologies within the deep laminae. In contrast, few labeled neurons were observed in the superficial laminae. Neurons with large somata in the lateral aspects of the deep superior colliculus were particularly well labeled, and many of their secondary and tertiary dendrites were clearly visible. Injections of the fluorescent biotinylated dextran amine into the pontine reticular formation revealed that approximately 80% of the SMI-32 immunostained neurons also contained retrogradely transported biotinylated dextran amine, indicating that SMI-32 is a common cytoskeletal component expressed in descending output neurons. Superior colliculus output neurons also are known to express the calcium-binding protein parvalbumin, and many SMI-32 immunostained neurons also proved to be parvalbumin immunostained. These studies suggest that SMI-32 can serve as a useful immunohistochemical marker for detailing the somatic and dendritic morphology of superior colliculus output neurons and for facilitating evaluations of their input

  14. A cautionary note on the use of information fit indexes in covariance structure modeling with means

    NARCIS (Netherlands)

    Wicherts, J.M.; Dolan, C.V.

    2004-01-01

    Information fit indexes such as Akaike Information Criterion, Consistent Akaike Information Criterion, Bayesian Information Criterion, and the expected cross validation index can be valuable in assessing the relative fit of structural equation models that differ regarding restrictiveness. In cases i

  15. A person-fit index for polytomous Rasch models, latent class models, and their mixture generalizations

    NARCIS (Netherlands)

    von Davier, M; Molenaar, IW

    2003-01-01

    A normally distributed person-fit index is proposed for detecting aberrant response patterns in latent class models and mixture distribution IRT models for dichotomous and polytomous data. This article extends previous work on the null distribution of person-fit indices for the dichotomous Rasch mod

  16. Development of an additive-controlled, SmI2-mediated stereoselective sequence: Telescoped spirocyclisation, lactone reduction and Peterson elimination

    Directory of Open Access Journals (Sweden)

    Brice Sautier

    2013-07-01

    Full Text Available Studies on SmI2-mediated spirocyclisation and lactone reduction culminate in a telescoped sequence in which additives are used to “switch on” individual steps mediated by the electron transfer reagent. The sequence involves the use of two activated SmI2 reagent systems and a silicon stereocontrol element that exerts complete diastereocontrol over the cyclisation and is removed during the final stage of the sequence by Peterson elimination. The approach allows functionalised cyclopentanols containing two vicinal quaternary stereocentres to be conveniently prepared from simple starting materials.

  17. Enhanced index tracking modeling in portfolio optimization with mixed-integer programming z approach

    Science.gov (United States)

    Siew, Lam Weng; Jaaman, Saiful Hafizah Hj.; Ismail, Hamizun bin

    2014-09-01

    Enhanced index tracking is a popular form of portfolio management in stock market investment. Enhanced index tracking aims to construct an optimal portfolio to generate excess return over the return achieved by the stock market index without purchasing all of the stocks that make up the index. The objective of this paper is to construct an optimal portfolio using mixed-integer programming model which adopts regression approach in order to generate higher portfolio mean return than stock market index return. In this study, the data consists of 24 component stocks in Malaysia market index which is FTSE Bursa Malaysia Kuala Lumpur Composite Index from January 2010 until December 2012. The results of this study show that the optimal portfolio of mixed-integer programming model is able to generate higher mean return than FTSE Bursa Malaysia Kuala Lumpur Composite Index return with only selecting 30% out of the total stock market index components.

  18. A new enhanced index tracking model in portfolio optimization with sum weighted approach

    Science.gov (United States)

    Siew, Lam Weng; Jaaman, Saiful Hafizah; Hoe, Lam Weng

    2017-04-01

    Index tracking is a portfolio management which aims to construct the optimal portfolio to achieve similar return with the benchmark index return at minimum tracking error without purchasing all the stocks that make up the index. Enhanced index tracking is an improved portfolio management which aims to generate higher portfolio return than the benchmark index return besides minimizing the tracking error. The objective of this paper is to propose a new enhanced index tracking model with sum weighted approach to improve the existing index tracking model for tracking the benchmark Technology Index in Malaysia. The optimal portfolio composition and performance of both models are determined and compared in terms of portfolio mean return, tracking error and information ratio. The results of this study show that the optimal portfolio of the proposed model is able to generate higher mean return than the benchmark index at minimum tracking error. Besides that, the proposed model is able to outperform the existing model in tracking the benchmark index. The significance of this study is to propose a new enhanced index tracking model with sum weighted apporach which contributes 67% improvement on the portfolio mean return as compared to the existing model.

  19. Caenorhabditis elegans in the study of SMN-interacting proteins: a role for SMI-1, an orthologue of human Gemin2 and the identification of novel components of the SMN complex.

    Science.gov (United States)

    Burt, Emma C; Towers, Paula R; Sattelle, David B

    2006-12-01

    Spinal muscular atrophy is a common neuromuscular disorder caused by mutations in the survival motor neuron (SMN) gene. In mammals, SMN is tightly associated with Gemin2. To gain further insight into the functions of SMN and Gemin2, we have cloned and sequenced smi-1 (Survival of Motor neuron-Interacting protein 1), a C. elegans homologue of the human Gemin2 gene. We show that the SMI-1 expression pattern and RNA interference phenotype show considerable overlap with that previously reported for SMN-1. Finally, we demonstrate that the SMN-1 and SMI-1 proteins directly interact. Having demonstrated the utility of the C. elegans genetic model for investigating genes encoding SMN-interacting proteins, we have undertaken a yeast two-hybrid screen of a C. elegans cDNA library to identify novel proteins that interact with SMN-1. We show the direct interaction of SMN-1 with nine novel proteins, several of which may be involved in RNA metabolism.

  20. Psychometric properties of the Spanish form of the Schedule for Meaning in Life Evaluation (SMiLE).

    Science.gov (United States)

    Monforte-Royo, Cristina; Tomás-Sábado, Joaquín; Villavicencio-Chávez, Christian; Balaguer, Albert

    2011-06-01

    The objective of this study was to validate the Spanish version of the SMiLE (Schedule for Meaning in Life Evaluation). The SMiLE is a respondent-generated instrument: respondents are first asked to list three to seven areas, which provide meaning to their lives, and then to rate their current satisfaction with the listed areas, as well as the individual importance of each one. Indices of total weighting (IoW), total satisfaction (IoS), and total weighted satisfaction (IoWS) are calculated. Two hundred and fifty University students responded to the Spanish version of the SMiLE, as well as to instruments for measuring self-esteem, quality of life, depression, and anxiety. The Cronbach alphas (α = 0.61 for IoS and α = 0.41 for IoW) and test-retest correlations were comparable to those found in the initial validation of the instrument (IoS: r = 0.55; IoW: r = 0.61). The SMiLE showed positive correlations with self-esteem (r = 0.28, P life scale (r = 0.31, P depression (r = -0.23, P life.

  1. Preface SMI '13 : Proceedings of the 2013 ACM Workshop on Smart Material Interfaces: Another Step to a Material Future

    NARCIS (Netherlands)

    Minuto, Andrea; Kretzer, Manuel; Nijholt, Anton; Minuto, Andrea; Kretzer, Manuel; Nijholt, Anton

    2013-01-01

    These are the proceedings of the second international workshop on Smart Material Interfaces`(SMI 2013), held in Sydney, Australia on December 13th. This second workshop is held in conjunction with the 15th ACM International Conference on Multimodal Interaction (ICMI 2013). The first workshop on Smar

  2. A Facile Construction of Eudesmanolide Denebutenolide via SmI2-catalyzed Rearrangement of an Enol Ester Epoxide

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    A very convenient construction procedure of the a, b-unsaturated lactone has been carried out in 98% yield. SmI2 (10%) was used as catalyst for rearrangement of an enol ester epoxide of eudesmanolide sesquiterpene. The possible mechanism was also discussed.

  3. A Facile Construction of Eudesmanolide Denebutenolide via SmI2—catalyzed Rearrangement of an Enol Ester Epoxide

    Institute of Scientific and Technical Information of China (English)

    WuJiongXIA; AoChengCAO; 等

    2002-01-01

    A very convenient construction procedure of the α,β-unsaturated lactone has been carried out in 98% yield. SmI2 (10%) was used as catalyst for rearrangement of an enol ester exoxide of eudesmanolide sesquiterpene. The possible mechanism was also discussed.

  4. Research on Storage Management Initiative Specification and Its Application%存储管理规范SMI-S及其应用研究

    Institute of Scientific and Technical Information of China (English)

    张慧成; 谢向辉

    2007-01-01

    虽然以SAN/IP SAN为代表的网络存储技术被广泛应用,但复杂的体系结构及众多厂商的参与也带来了管理困难、互操作性差的问题.存储管理规范SMI-S是解决这些问题的标准规范.该文介绍了SMI-S的缘起与目标,讨论了管理接口的能力、SMI-S的工作原理及实现互操作的机制,探讨了SMI-S的应用现状及发展趋势,提出了关于SMI-S的应用设想.

  5. Predicting hydrological signatures in ungauged catchments using spatial interpolation, index model, and rainfall-runoff modelling

    Science.gov (United States)

    Zhang, Yongqiang; Vaze, Jai; Chiew, Francis H. S.; Teng, Jin; Li, Ming

    2014-09-01

    Understanding a catchment's behaviours in terms of its underlying hydrological signatures is a fundamental task in surface water hydrology. It can help in water resource management, catchment classification, and prediction of runoff time series. This study investigated three approaches for predicting six hydrological signatures in southeastern Australia. These approaches were (1) spatial interpolation with three weighting schemes, (2) index model that estimates hydrological signatures using catchment characteristics, and (3) classical rainfall-runoff modelling. The six hydrological signatures fell into two categories: (1) long-term aggregated signatures - annual runoff coefficient, mean of log-transformed daily runoff, and zero flow ratio, and (2) signatures obtained from daily flow metrics - concavity index, seasonality ratio of runoff, and standard deviation of log-transformed daily flow. A total of 228 unregulated catchments were selected, with half the catchments randomly selected as gauged (or donors) for model building and the rest considered as ungauged (or receivers) to evaluate performance of the three approaches. The results showed that for two long-term aggregated signatures - the log-transformed daily runoff and runoff coefficient, the index model and rainfall-runoff modelling performed similarly, and were better than the spatial interpolation methods. For the zero flow ratio, the index model was best and the rainfall-runoff modelling performed worst. The other three signatures, derived from daily flow metrics and considered to be salient flow characteristics, were best predicted by the spatial interpolation methods of inverse distance weighting (IDW) and kriging. Comparison of flow duration curves predicted by the three approaches showed that the IDW method was best. The results found here provide guidelines for choosing the most appropriate approach for predicting hydrological behaviours at large scales.

  6. SMI of Bcl-2 TW-37 is active across a spectrum of B-cell tumors irrespective of their proliferative and differentiation status.

    Science.gov (United States)

    Al-Katib, Ayad M; Sun, Yuan; Goustin, Anton Scott; Azmi, Asfar Sohail; Chen, Ben; Aboukameel, Amro; Mohammad, Ramzi M

    2009-02-16

    The Bcl-2 family of proteins is critical to the life and death of malignant B-lymphocytes. Interfering with their activity using small-molecule inhibitors (SMI) is being explored as a new therapeutic strategy for treating B-cell tumors. We evaluated the efficacy of TW-37, a non-peptidic SMI of Bcl-2 against a range spectrum of human B-cell lines, fresh patient samples and animal xenograft models. Multiple cytochemical and molecular approaches such as acridine orange/ethidium bromide assay for apoptosis, co-immunoprecipitation of complexes and western blot analysis, caspase luminescent activity assay and apoptotic DNA fragmentation assay were used to demonstrate the effect of TW-37 on different B-cell lines, patient derived samples, as well as in animal xenograft models. Nanomolar concentrations of TW-37 were able to induce apoptosis in both fresh samples and established cell lines with IC50 in most cases of 165-320 nM. Apoptosis was independent of proliferative status or pathological classification of B-cell tumor. TW-37 was able to block Bim-Bcl-XL and Bim-Mcl-1 heterodimerization and induced apoptosis via activation of caspases -9, -3, PARP and DNA fragmentation. TW-37 administered to tumor-bearing SCID mice led to significant tumor growth inhibition (T/C), tumor growth delay (T-C) and Log10kill, when used at its maximum tolerated dose (40 mg/kg x 3 days) via tail vein. TW-37 failed to induce changes in the Bcl-2 proteins levels suggesting that assessment of baseline Bcl-2 family proteins can be used to predict response to the drug. These findings indicate activity of TW-37 across the spectrum of human B-cell tumors and support the concept of targeting the Bcl-2 system as a therapeutic strategy regardless of the stage of B-cell differentiation.

  7. RESIDUA UPGRADING EFFICIENCY IMPROVEMENT MODELS: WRI COKING INDEXES

    Energy Technology Data Exchange (ETDEWEB)

    John F. Schabron; Joseph F. Rovani, Jr.; Francis P. Miknis; Thomas F. Turner

    2003-06-01

    Pyrolysis experiments were conducted with three residua at 400 C (752 F) at various residence times. The wt % coke and gaseous products were measured for the product oils. The Western Research Institute (WRI) Coking Indexes were determined for the product oils. Measurements were made using techniques that might correlate with the Coking Indexes. These included spin-echo proton nuclear magnetic resonance spectroscopy, heat capacity measurements at 280 C (536 F), and ultrasonic attenuation. The two immiscible liquid phases that form once coke formation begins were isolated and characterized for a Boscan residuum pyrolyzed at 400 C (752 F) for 55 minutes. These materials were analyzed for elemental composition (CHNS), porphyrins, and metals (Ni,V) content.

  8. RESIDUA UPGRADING EFFICIENCY IMPROVEMENT MODELS: WRI COKING INDEXES

    Energy Technology Data Exchange (ETDEWEB)

    John F. Schabron; Joseph F. Rovani, Jr.; Francis P. Miknis; Thomas F. Turner

    2003-06-01

    Pyrolysis experiments were conducted with three residua at 400 C (752 F) at various residence times. The wt % coke and gaseous products were measured for the product oils. The Western Research Institute (WRI) Coking Indexes were determined for the product oils. Measurements were made using techniques that might correlate with the Coking Indexes. These included spin-echo proton nuclear magnetic resonance spectroscopy, heat capacity measurements at 280 C (536 F), and ultrasonic attenuation. The two immiscible liquid phases that form once coke formation begins were isolated and characterized for a Boscan residuum pyrolyzed at 400 C (752 F) for 55 minutes. These materials were analyzed for elemental composition (CHNS), porphyrins, and metals (Ni,V) content.

  9. A Cautionary Note on the Use of Information Fit Indexes in Covariance Structure Modeling with Means

    Science.gov (United States)

    Wicherts, Jelte M.; Dolan, Conor V.

    2004-01-01

    Information fit indexes such as Akaike Information Criterion, Consistent Akaike Information Criterion, Bayesian Information Criterion, and the expected cross validation index can be valuable in assessing the relative fit of structural equation models that differ regarding restrictiveness. In cases in which models without mean restrictions (i.e.,…

  10. [Assessing forest ecosystem health I. Model, method, and index system].

    Science.gov (United States)

    Chen, Gao; Dai, Limin; Ji, Lanzhu; Deng, Hongbing; Hao, Zhanqing; Wang, Qingli

    2004-10-01

    Ecosystem health assessment is one of the main researches and urgent tasks of ecosystem science in 21st century. An operational definition on ecosystem health and an all-sided, simple, easy operational and standard index system, which are the foundation of assessment on ecosystem health, are necessary in obtaining a simple and applicable assessment theory and method of ecosystem health. Taking the Korean pine and broadleaved mixed forest ecosystem as an example, an originally creative idea on ecosystem health was put forward in this paper based on the idea of mode ecosystem set and the idea of forest ecosystem health, together with its assessment. This creative idea can help understand what ecosystem health is. Finally, a formula was deduced based on a new effective health assessment method--health distance (HD), which is the first time to be brought forward in China. At the same time, aiming at it's characteristics by status understanding and material health questions, a health index system of Korean pine and broadleaved mixed forest ecosystem was put forward in this paper, which is a compound ecosystem based on the compound properties of nature, economy and society. It is concrete enough to measure sub-index, so it is the foundation to assess ecosystem health of Korean pine and broadleaved mixed forest in next researches.

  11. Relationship between underweight, bone mineral density and skeletal muscle index in premenopausal Korean women.

    Science.gov (United States)

    Lim, J; Park, H S

    2016-06-01

    Osteoporosis and sarcopenia are common health problems in postmenopausal women. However, studies of these issues in premenopausal women are limited. Our present study aimed to investigate relationship the between underweight, bone mineral density (BMD) and skeletal muscle index (SMI) in a representative sample of premenopausal Korean women. We used data from the Korea National Health and Nutrition Examination Surveys (2009-2010). Participants included 1767 healthy, ≥ 20-year-old, non-obese premenopausal women. Underweight was defined as BMIrelationship between underweight, BMD and SMI after adjusting for confounding factors. The prevalence of low BMD and low SMI in underweight women was 23.9% and 18.4%, respectively, compared with 9.4% and 1.7% in normal weight women. Low BMD and/or low SMI were present in 36.7% of underweight women compared with 10.7% of normal weight women. After adjustments, underweight women exhibited a higher odds ratio for low BMD (OR, 3.41; 95% CI, 2.31-5.05), low SMI (OR, 11.61; 95% CI, 6.17-21.88) and combined low BMD and low SMI (OR, 23.82; 95% CI, 8.92-63.58) when compared with normal weight women. Underweight premenopausal women are at a higher risk of low bone mass and low skeletal muscle. Educational efforts that promote a normal weight in premenopausal women should be reinforced. © 2016 John Wiley & Sons Ltd.

  12. Dst Index in the 2008 GEM Modeling Challenge - Model Performance for Moderate and Strong Magnetic Storms

    Science.gov (United States)

    Rastaetter, Lutz; Kuznetsova, Maria; Hesse, Michael; Chulaki, Anna; Pulkkinen, Antti; Ridley, Aaron J.; Gombosi, Tamas; Vapirev, Alexander; Raeder, Joachim; Wiltberger, Michael James; Mays, M. L.; Fok, Mei-Ching H.; Weigel, Robert S.; Welling, Daniel T.

    2010-01-01

    The GEM 2008 modeling challenge efforts are expanding beyond comparing in-situ measurements in the magnetosphere and ionosphere to include the computation of indices to be compared. The Dst index measures the largest deviations of the horizontal magnetic field at 4 equatorial magnetometers from the quiet-time background field and is commonly used to track the strength of the magnetic disturbance of the magnetosphere during storms. Models can calculate a proxy Dst index in various ways, including using the Dessler-Parker Sckopke relation and the energy of the ring current and Biot-Savart integration of electric currents in the magnetosphere. The GEM modeling challenge investigates 4 space weather events and we compare models available at CCMC against each other and the observed values of Ost. Models used include SWMF/BATSRUS, OpenGGCM, LFM, GUMICS (3D magnetosphere MHD models), Fok-RC, CRCM, RAM-SCB (kinetic drift models of the ring current), WINDMI (magnetosphere-ionosphere electric circuit model), and predictions based on an impulse response function (IRF) model and analytic coupling functions with inputs of solar wind data. In addition to the analysis of model-observation comparisons we look at the way Dst is computed in global magnetosphere models. The default value of Dst computed by the SWMF model is for Bz the Earth's center. In addition to this, we present results obtained at different locations on the Earth's surface. We choose equatorial locations at local noon, dusk (18:00 hours), midnight and dawn (6:00 hours). The different virtual observatory locations reveal the variation around the earth-centered Dst value resulting from the distribution of electric currents in the magnetosphere during different phases of a storm.

  13. Refractive Index of Humid Air in the Infrared: Model Fits

    CERN Document Server

    Mathar, R J

    2006-01-01

    The theory of summation of electromagnetic line transitions is used to tabulate the Taylor expansion of the refractive index of humid air over the basic independent parameters (temperature, pressure, humidity, wavelength) in five separate infrared regions from the H to the Q band at a fixed percentage of Carbon Dioxide. These are least-squares fits to raw, highly resolved spectra for a set of temperatures from 10 to 25 C, a set of pressures from 500 to 1023 hPa, and a set of relative humidities from 5 to 60%. These choices reflect the prospective application to characterize ambient air at mountain altitudes of astronomical telescopes.

  14. Crystal Structures and Thermoelectric Properties of Sm-Filled Skutterudite Compounds SmyFexCo4-xSb12

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Polycrystalline samples of Sm partially filled skutterudites SmyFexCo4-xSb12 were prepared by melting and Spark Plasma Sintering technique.The results of Rietveld refinement showed that the obtained SmyFexCo4-xSb12 samples possessed filled skutterudite structures.The thermal parameter (B) of Sm is larger than that of Sb, Fe, and Co, indicating that Sm "rattled" in Sb-icosahedron voids.The effects of filling atom Sm on thermoelectric properties of these compounds were investigated.With the increase of Sm filling fraction (y), electrical conductivity decreased, Seebeck coefficient increased and had a maximum value when y was 0.38; thermal conductivity reduced and had a minimum value when y was 0.32.At 750 K, the highest figure of merit of 0.68 was obtained for Sm0.32Fe1.47Co2.53Sb12.

  15. SmI(2)-induced reductive cyclizations for the synthesis of cyclic ethers and applications in natural product synthesis.

    Science.gov (United States)

    Nakata, Tadashi

    2010-06-01

    This tutorial review covers SmI(2)-induced reductive cyclizations of beta-alkoxyacrylate, beta-alkoxyvinyl sulfone, and beta-alkoxyvinyl sulfoxide, as methods for efficient construction of cyclic ethers. These cyclizations were developed as tools to aid in the total synthesis of marine polycyclic ethers, whose complex, synthetically challenging structures and potent bioactivities have attracted the attention of numerous synthetic organic chemists. Applications of the methods to total syntheses of various natural products containing cyclic ether are also described.

  16. Modeling of Body Mass Index by Newton's Second Law

    CERN Document Server

    Canessa, E

    2008-01-01

    Since laws of physics exist in nature, their possible relationship to terrestial growth is introduced. By considering the human body as a dynamic system of variable mass (and volume), growing under a gravity field, it is shown how natural laws may influence the vertical growth of humans. This approach makes sense because the non-linear percentile curves of different aspects of human physical growth from childhood to adolescence can be described in relation to physics laws independently of gender and nationality. Analytical relations for the dependence of stature, measured mass (weight), growth velocity (and their mix as the body mass index) on age are deduced with a set of common statistical parameters which could relate environmental, genetics and metabolism and different aspects of physical growth on earth. A relationship to the monotone smoothing using functional data analysis to estimate growth curves and its derivatives is established. A preliminary discussion is also presented on horizontal growth in an...

  17. Maturation of multisensory integration in the superior colliculus: expression of nitric oxide synthase and neurofilament SMI-32.

    Science.gov (United States)

    Fuentes-Santamaria, Veronica; McHaffie, John G; Stein, Barry E

    2008-11-25

    Nitric oxide (NO) containing (nitrergic) interneurons are well-positioned to convey the cortical influences that are crucial for multisensory integration in superior colliculus (SC) output neurons. However, it is not known whether nitrergic interneurons are in this position early in life, and might, therefore, also play a role in the functional maturation of this circuit. In the present study, we investigated the postnatal developmental relationship between these two populations of neurons using Beta-nicotinamide adenine dinucleotide phosphate-diaphorase (NADPH) histochemistry and SMI-32 immunocytochemistry to label presumptive interneurons and output neurons, respectively. SMI-32 immunostained neurons were proved to mature and retained immature anatomical features until approximately 8 postnatal weeks. In contrast, nitrergic interneurons developed more rapidly. They had achieved their adult-like anatomy by 4 postnatal weeks and were in a position to influence the dendritic elaboration of output neurons. It is this dendritic substrate through which much of the cortico-collicular influence is expressed. Double-labeling experiments showed that the dendritic and axonal processes of nitrergic interneurons already apposed the somata and dendrites of SMI-32 labeled neurons even at the earliest age examined. The results suggest that nitrergic interneurons play a role in refining the cortico-collicular projection patterns that are believed to be essential for SC output neurons to engage in multisensory integration and to support normal orientation responses to cross-modal stimuli.

  18. Index models to evaluate the risk of phosphorus and nitrogen loss at catchment scales.

    Science.gov (United States)

    Drewry, J J; Newham, L T H; Greene, R S B

    2011-03-01

    This paper investigates index models as a tool to estimate the risk of N and P source strengths and loss at the catchment scale. The index models assist managers in improving the focus of remediation actions that reduce nutrient delivery to waterbodies. N and P source risk factors (e.g. soil nutrient concentrations) and transport risk factors (e.g. distance-to-streams) are used to determine the overall risk of nutrient loss for a case study in the Tuross River catchment of coastal southeast Australia. In the development of the N index model for Tuross, particulate N was considered important based on the observed event water quality data. In contrast to previous N index models, erosion and contributing distance were therefore included in the Tuross River catchment N index. Event-based water quality monitoring, and soil information, or in data-poor catchments conceptual understanding, are essential to represent catchment-scale processes. The techniques have high applicability in other catchments, and are complementary to other modelling techniques such as process-based semi-distributed modelling. Index models generally provide much more detailed spatial resolution than fully- or semi-distributed conceptual modelling approaches. Semi-distributed models can be used to quantify nutrient loads and provide overall direction to set the broad focus of management. Index models can then be used to refine on-the-ground investigations and investment priorities. In this way semi-distributed models can be combined with index models to provide a set of powerful tools to influence management decisions and outcomes. Copyright © 2010 Elsevier Ltd. All rights reserved.

  19. Alternatives to the Markovian Model for the Tubulent Refractive Index in Lightwave Propagation

    CERN Document Server

    Pérez, D G; Perez, Dario G.; Zunino, Luciano

    2003-01-01

    We discuss in this letter the markovian model and its limitations when applied to model the turbulent refractive index in lightwave propagation. Not being aware are these limitations usually leads to severe mistakes as we will point out here. It is widely known the index is a passive scalar field; moreover, with our actual knowledge about these quantities we will propose an alternative stochastic process to the markovian model.

  20. A copula-multifractal volatility hedging model for CSI 300 index futures

    Science.gov (United States)

    Wei, Yu; Wang, Yudong; Huang, Dengshi

    2011-11-01

    In this paper, we propose a new hedging model combining the newly introduced multifractal volatility (MFV) model and the dynamic copula functions. Using high-frequency intraday quotes of the spot Shanghai Stock Exchange Composite Index (SSEC), spot China Securities Index 300 (CSI 300), and CSI 300 index futures, we compare the direct and cross hedging effectiveness of the copula-MFV model with several popular copula-GARCH models. The main empirical results show that the proposed copula-MFV model obtains better hedging effectiveness than the copula-GARCH-type models in general. Furthermore, the hedge operating strategy based MFV hedging model involves fewer transaction costs than those based on the GARCH-type models. The finding of this paper indicates that multifractal analysis may offer a new way of quantitative hedging model design using financial futures.

  1. Attribute Mathematical Model for Comprehensive Index System' Quality Evaluation for Natural Science Academic Journals

    Institute of Scientific and Technical Information of China (English)

    YongLi; QunLi

    2004-01-01

    Journal evaluation is a compliated engineering system, how to evaluate academic journals more scientifically in scientific methods have becomes a problem of great concerns. This paper presents attribute mathematical model for comprehensive index system' quality evaluation for natural science academic journals, aiming to make comprehensive index system' quality evaluation for academic journals more objective and reasonable compared with other quantitative evaluation ways.

  2. Empirical likelihood confidence regions of the parameters in a partially linear single-index model

    Institute of Scientific and Technical Information of China (English)

    XUE Liugen; ZHU Lixing

    2005-01-01

    In this paper, a partially linear single-index model is investigated, and three empirical log-likelihood ratio statistics for the unknown parameters in the model are suggested. It is proved that the proposed statistics are asymptotically standard chi-square under some suitable conditions, and hence can be used to construct the confidence regions of the parameters. Our methods can also deal with the confidence region construction for the index in the pure single-index model. A simulation study indicates that, in terms of coverage probabilities and average areas of the confidence regions, the proposed methods perform better than the least-squares method.

  3. A new process sensitivity index to identify important system processes under process model and parametric uncertainty

    Energy Technology Data Exchange (ETDEWEB)

    Dai, Heng [Pacific Northwest National Laboratory, Richland Washington USA; Ye, Ming [Department of Scientific Computing, Florida State University, Tallahassee Florida USA; Walker, Anthony P. [Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge Tennessee USA; Chen, Xingyuan [Pacific Northwest National Laboratory, Richland Washington USA

    2017-04-01

    Hydrological models are always composed of multiple components that represent processes key to intended model applications. When a process can be simulated by multiple conceptual-mathematical models (process models), model uncertainty in representing the process arises. While global sensitivity analysis methods have been widely used for identifying important processes in hydrologic modeling, the existing methods consider only parametric uncertainty but ignore the model uncertainty for process representation. To address this problem, this study develops a new method to probe multimodel process sensitivity by integrating the model averaging methods into the framework of variance-based global sensitivity analysis, given that the model averaging methods quantify both parametric and model uncertainty. A new process sensitivity index is derived as a metric of relative process importance, and the index includes variance in model outputs caused by uncertainty in both process models and model parameters. For demonstration, the new index is used to evaluate the processes of recharge and geology in a synthetic study of groundwater reactive transport modeling. The recharge process is simulated by two models that converting precipitation to recharge, and the geology process is also simulated by two models of different parameterizations of hydraulic conductivity; each process model has its own random parameters. The new process sensitivity index is mathematically general, and can be applied to a wide range of problems in hydrology and beyond.

  4. Bus Operation Monitoring Oriented Public Transit Travel Index System and Calculation Models

    Directory of Open Access Journals (Sweden)

    Jiancheng Weng

    2013-01-01

    Full Text Available This study proposed a two-dimensional index system which is concerned essentially with urban travel based on travel modes and user satisfaction. First, the public transit was taken as an example to describe the index system establishing process. In consideration of convenience, rapid, reliability, comfort, and safety, a bus service evaluation index system was established. The indicators include the N-minute coverage of bus stops, average travel speed, and fluctuation of travel time between stops and bus load factor which could intuitively describe the characteristics of public transport selected to calculate bus travel indexes. Then, combined with the basic indicators, the calculation models of Convenience Index (CI, Rapid Index (RI, Reliability Index (RBI, and Comfort Index (CTI were established based on the multisource data of public transit including the real-time bus GPS data and passenger IC card data. Finally, a case study of Beijing bus operation evaluation and analysis was conducted by taking real bus operation data including GPS data and passenger transaction recorder (IC card data. The results showed that the operation condition of the public transit was well reflected and scientifically classified by the bus travel index models.

  5. Modeling of body mass index by Newton's second law.

    Science.gov (United States)

    Canessa, Enrique

    2007-10-21

    Since laws of physics exists in nature, their possible relationship to terrestrial growth is introduced. By considering the human body as a dynamic system of variable mass (and volume), growing under a gravity field, it is shown how natural laws may influence the vertical growth of humans. This approach makes sense because the non-linear percentile curves of different aspects of human physical growth from childhood to adolescence can be described in relation to physics laws independently of gender and nationality. Analytical relations for the dependence of stature, measured mass (weight), growth velocity (and their mix as the body mass index) on age are deduced with a set of common statistical parameters which could relate environmental, genetics and metabolism and different aspects of physical growth on earth. A relationship to the monotone smoothing using functional data analysis to estimate growth curves and its derivatives is established. A preliminary discussion is also presented on horizontal growth in an essentially weightless environment (i.e., aquatic) with a connection to the Laird-Gompertz formula for growth.

  6. Temperature-Dependent Conformations of Model Viscosity Index Improvers

    Energy Technology Data Exchange (ETDEWEB)

    Ramasamy, Uma Shantini; Cosimbescu, Lelia; Martini, Ashlie

    2015-05-01

    Lubricants are comprised of base oils and additives where additives are chemicals that are deliberately added to the oil to enhance properties and inhibit degradation of the base oils. Viscosity index (VI) improvers are an important class of additives that reduce the decline of fluid viscosity with temperature [1], enabling optimum lubricant performance over a wider range of operating temperatures. These additives are typically high molecular weight polymers, such as, but not limited to, polyisobutylenes, olefin copolymer, and polyalkylmethacrylates, that are added in concentrations of 2-5% (w/w). Appropriate polymers, when dissolved in base oil, expand from a coiled to an uncoiled state with increasing temperature [2]. The ability of VI additives to increase their molar volume and improve the temperature-viscosity dependence of lubricants suggests there is a strong relationship between molecular structure and additive functionality [3]. In this work, we aim to quantify the changes in polymer size with temperature for four polyisobutylene (PIB) based molecular structures at the nano-scale using molecular simulation tools. As expected, the results show that the polymers adopt more conformations at higher temperatures, and there is a clear indication that the expandability of a polymer is strongly influenced by molecular structure.

  7. Improvement of the design and generation of highly specific plant knockdown lines using primary synthetic microRNAs (pri-smiRNAs

    Directory of Open Access Journals (Sweden)

    Alves Leonardo

    2010-03-01

    Full Text Available Abstract Background microRNAs (miRNAs are endogenous small non-coding RNAs that post-transcriptionally regulate gene expression. In plants, they typically show high complementarity to a single sequence motif within their target mRNAs and act by catalyzing specific mRNA cleavage and degradation. miRNAs are processed from much longer primary transcripts via precursor miRNAs containing fold-back structures. Leaving these secondary structures intact, miRNAs can be re-designed experimentally to target mRNAs of choice. Results We designed primary synthetic miRNAs (pri-smiRNAs on the basis of the primary transcript of the Arabidopsis MIR159A gene by replacing the original miR159a and the corresponding miR159a* with novel sequences, keeping the overall secondary structure as predicted by the program RNAfold. We used the program RNAhybrid to optimize smiRNA design and to screen the complete Arabidopsis transcriptome for potential off-targets. To improve the molecular cloning of the pri-smiRNA we inserted restriction sites in the original MIR159A primary transcript to easily accommodate the smiRNA/smiRNA* DNA fragment. As a proof-of-concept, we targeted the single gene encoding chalcone synthase (CHS in Arabidopsis. We demonstrate smiRNA(CHS expression and CHS mRNA cleavage in different transgenic lines. Phenotypic changes in these lines were observed for seed color and flavonol derivatives, and quantified with respect to anthocyanin content. We also tested the effect of mismatches and excess G:U base pairs on knockdown efficiency. Conclusions RNAhybrid-assisted design of smiRNAs and generation of pri-smiRNAs using a novel vector containing restriction sites greatly improves specificity and speed of the generation of stable knockdown lines for functional analyses in plants.

  8. Distribution of mGluR1alpha and SMI 311 immunoreactive Lugaro cells in the kitten cerebellum.

    Science.gov (United States)

    Víg, Julianna; Takács, József; Vastagh, Csaba; Baldauf, Zsolt; Veisenberger, Eleonóra; Hámori, József

    2003-03-01

    The Lugaro cell is a feedback interneuron of the cerebellar cortex, recognizable by its characteristic morphology. Postnatal neuronal migration to the cortex has been described for several cerebellar interneurons. Since in our previous studies we observed Lugaro-like cells (LCs) in the white matter (WM) and internal granular layer (IGL) of the cerebellum of young cats, we assumed that a proportion of these cells migrate also postnatally to their destination. In the present study using and immunostaining for the metabotropic glutamate receptor mGluR1alpha and neurofilament protein SMI 311 the number and spatial distribution of LCs at different postnatal days were investigated. We found that the number and distribution of both mGluR1a-immunoreactive (ir) and of SMI 311-ir LCs changed with age in the developing cerebellar cortex of kittens: developing LCs express mGluR1alpha already in the newborn, while expression of SMI 311-ir in LCs appears only about a week later. At postnatal day 1 (P1) relatively few mGluR1-ir LCs were detected in the WM and at the border of WM and IGL. Later, their number increased sharply until P15 (6-7 fold) and decreased continuously between P15 and P135. SMI 311-ir LCs were not present at P1 and even at P8 only a few were observed in the WM or in infraganglionic positions. Their number increased gradually (12-14 fold) until adulthood when their number was stabilized at 8.000-10.000/cerebellum. At the same time the number of probably ectopic SMI 311-ir LCs decreased with age: at P22 about one third of them was found in "ectopic" position, whereas in the adult cat only about 10-12% of LCs's was either in the WM or scattered in the whole depth of the granular layer. These results suggest that: (1) most LCs appear in the cerebellar cortex postnatally; and (2) postnatal migration and incorporation of LCs to the cortex is a much longer process than previously expected, occurring even after the cytoarchitectonic built-up (about P65-P70 in cat) of

  9. Habitat suitability index model for black bear (Ursus americanus)

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This descriptive model applies only to black bear in the coastal forests and adjacent vegetative communities, which extend from Afognak Island and the shores of...

  10. Reduction of ketones and alkyl iodides by SmI(2) and Sm(II)-HMPA complexes. Rate and mechanistic studies.

    Science.gov (United States)

    Prasad, E; Flowers, Robert A

    2002-06-19

    The effect of HMPA on the electron transfer (ET) rate of samarium diiodide reduction reactions in THF was analyzed for a series of ketones (2-butanone, methyl acetoacetate, and N,N-dimethylacetoacetamide) and alkyl iodides (1-iodobutane and 2-iodobutane) with stopped flow spectrophotometric studies. Activation parameters for the ET processes were determined by temperature-dependence studies over a range of 30-50 degrees C. The ET rate constants and the activation parameters obtained for the above systems in the presence of different equivalents of HMPA were compared to understand the mechanism of action of HMPA on various substrates. The results obtained from these studies indicate that coordination or chelation is possible in the transition state geometry for SmI(2)/ketone systems even in the presence of the sterically demanding ligand HMPA. After the addition of 4 equiv of HMPA the ET rate and activation parameters for ketone reduction by Sm is unaffected by further HMPA addition while a linear dependence of ET rate on the equivalents of HMPA was found in the SmI(2)/alkyl iodide system. The results of these studies are consistent with an inner-sphere-type ET for the reduction of ketones by SmI(2) (and SmI(2)[bond]HMPA complexes) and an outer-sphere-type ET for the reduction of alkyl iodides by SmI(2) or SmI(2)[bond]HMPA complexes.

  11. Common formin-regulating sequences in Smy1 and Bud14 are required for the control of actin cable assembly in vivo.

    Science.gov (United States)

    Eskin, Julian A; Rankova, Aneliya; Johnston, Adam B; Alioto, Salvatore L; Goode, Bruce L

    2016-03-01

    Formins comprise a large family of proteins with diverse roles in remodeling the actin cytoskeleton. However, the spatiotemporal mechanisms used by cells to control formin activities are only beginning to be understood. Here we dissected Smy1, which has dual roles in regulating formins and myosin. Using mutagenesis, we identified specific sequences in Smy1 critical for its in vitro inhibitory effects on the FH2 domain of the formin Bnr1. By integrating smy1 alleles targeting those sequences, we genetically uncoupled Smy1's functions in regulating formins and myosin. Quantitative imaging analysis further demonstrated that the ability of Smy1 to directly control Bnr1 activity is crucial in vivo for proper actin cable length, shape, and velocity and, in turn, efficient secretory vesicle transport. A Smy1-like sequence motif was also identified in a different Bnr1 regulator, Bud14, and found to be essential for Bud14 functions in regulating actin cable architecture and function in vivo. Together these observations reveal unanticipated mechanistic ties between two distinct formin regulators. Further, they emphasize the importance of tightly controlling formin activities in vivo to generate specialized geometries and dynamics of actin structures tailored to their physiological roles.

  12. Study on Dispersion Properties of Photonic Crystal Fiber by Effective-Index Model

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    The group-velocity-dispersion properties of photonic crystal fiber (PCF) were investigated by effective-index model. The relationship between waveguide dispersion and structure parameters: the pitch A and the relative hole size/was studied.

  13. Study on Dispersion Properties of Photonic Crystal Fiber by Effective-Index Model

    Institute of Scientific and Technical Information of China (English)

    Ren Guobin; Wang Zhi; Lou Shuqin; Jian Shuisheng

    2003-01-01

    The group-velocity-dispersion properties of photonic crystal fiber (PCF) were investigated by effective-index model. The relationship between waveguide dispersion and structure parameters: the pitch and the relative hole size f was studied.

  14. Simulating of marble subjected to uni-axial loading using index-parabola damage model

    Institute of Scientific and Technical Information of China (English)

    温世游; 李夕兵; 骆达成

    2001-01-01

    The limitations of several existing classical rock damage models were critically appraised. Thereafter, a description of a new model to estimate the response of rock was provided. The results of an investigation lead to the development and confirmation of a new index-parabola damage model. The new model is divided into two parts, fictitious damage and real damage and bordered by the critical damage point. In fictitious damage, the damage variable follows the index distribution, while in the real damage a parabolic distribution is used. Thus, the so-called index-parabola damage model is derived. The proposed damage model is applied to simulate the damage procedure of marble under uni-axial loading. The results of the tests show that the proposed model is in excellent agreement with experimental data, in particular the nonlinear characteristic of rock deformation is adequately represented.

  15. Compatible dominant height - site index model for juniper (Juniperus deppeana Steud.)

    OpenAIRE

    Antonio Rodríguez-Carrillo; Francisco Cruz-Cobos; Benedicto Vargas-Larreta; Francisco J. Hernández

    2015-01-01

    The aim of this study was to determine the site quality of juniper (Juniperus deppeana Steud.) in the San Dimas region of the state of Durango, Mexico, using the site index method. The database comes from stem analysis of 43 trees felled in harvesting activities. The Chapman-Richards and Schumacher models, by means of the algebraic difference and generalized algebraic difference approaches, were tested to determine the site index; in addition, the error structure was modeled with a second-ord...

  16. Improved analytical model for the field of index-guiding microstructured optical fibers

    Science.gov (United States)

    Sharma, Dinesh Kumar; Sharma, Anurag

    2016-05-01

    We present an improved version of our earlier developed analytical field model for the fundamental mode of index-guiding microstructured optical fibers (MOFs), to obtain better accuracy in the simulated results. Using this improved field model, we have studied the splice losses between an MOF and a traditional step-index single-mode fiber (SMF). Comparisons with available experimental and numerical simulation results have also been included.

  17. The partial duration series method in regional index-flood modeling

    DEFF Research Database (Denmark)

    Madsen, Henrik; Rosbjerg, Dan

    1997-01-01

    A regional index-flood method based on the partial duration series model is introduced. The model comprises the assumptions of a Poisson-distributed number of threshold exceedances and generalized Pareto (GP) distributed peak magnitudes. The regional T-year event estimator is based on a regional...... preferable to at-site estimation in moderately heterogeneous and homogeneous regions for large sample sizes. Modest intersite dependence has only a small effect on the performance of the regional index-flood estimator....

  18. Study on comparison of different methods to calculating sensitivity index of Jensen model

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Real coded Accelerating Genetic Algorithm (RAGA), Chaos Algorithm (CA) were used to solve the sensitivity index of Jensen model which is one of models of crop water production function. After comparing with the outcome of Least Square Regression (LSR), the result showed that RAGA not only had high accuracy and more effective, but also saved calculating time. The authors provides new effective methods for calculating index of crop water production function.

  19. Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model.

    Science.gov (United States)

    Qiu, Mingyue; Song, Yu

    2016-01-01

    In the business sector, it has always been a difficult task to predict the exact daily price of the stock market index; hence, there is a great deal of research being conducted regarding the prediction of the direction of stock price index movement. Many factors such as political events, general economic conditions, and traders' expectations may have an influence on the stock market index. There are numerous research studies that use similar indicators to forecast the direction of the stock market index. In this study, we compare two basic types of input variables to predict the direction of the daily stock market index. The main contribution of this study is the ability to predict the direction of the next day's price of the Japanese stock market index by using an optimized artificial neural network (ANN) model. To improve the prediction accuracy of the trend of the stock market index in the future, we optimize the ANN model using genetic algorithms (GA). We demonstrate and verify the predictability of stock price direction by using the hybrid GA-ANN model and then compare the performance with prior studies. Empirical results show that the Type 2 input variables can generate a higher forecast accuracy and that it is possible to enhance the performance of the optimized ANN model by selecting input variables appropriately.

  20. Effect of crystalline lens surfaces and refractive index on image quality by model simulation analysis

    Institute of Scientific and Technical Information of China (English)

    Meimei Kong; Zhishan Gao; Lei Chen; Xinhua Li

    2008-01-01

    The surfaces and refractive index of crystalline lens play an important role in the optical performance of human eye.On the basis of two eye models,which are widely applied at present,the effect of lens surfaces and its refractive index distribution on optical imaging is analyzed with the optical design software ZEMAX (Zemax Development Co.,San Diego,USA).The result shows that good image quality can be provided by the aspheric lens surfaces or (and) the gradient-index (GRIN) distribution.It has great potential in the design of intraocular lens (IOL).The eye models with an intraocular implantation are presented.

  1. ECONOMETRIC’S MODEL: THE DEPENDENCE OF PFTS INDEX FROM ECONOMICS RANKS

    Directory of Open Access Journals (Sweden)

    K. Cherkashyna

    2013-11-01

    Full Text Available Dynamics of stock index is an indicator of market efficiency. We use the strong form of market efficiency, where prices reflect all available information, – both public and private. National index PFTS and main world indexes such as Dow Jones industrial, Standard & Poor’s 500, Nasdaq composite, Japan’s Nikkei index, Hong Kong’s Hang Seng index are very volatility. Last week all of the major U.S. stock indexes were in the red. Data dependence index PFTS from many exogenous and internal factors is analyzed in the article. The main exogenous factors are Dow Jones industrial, Nasdaq composite, growth rate of world GDP, price of gold, price of oil. The main internal factors are the exchange rate, the international investment position of Ukraine, the external debt of Ukraine. Index PFTS is malleable from the international investment position, the exchange rate and the price of gold. It is very difficult to forecast the dynamic of stock index. There is an approximation error. It is 6,82%. It is less than 10% and it is allowable. The econometric model makes it possible to predict the dynamics of the PFTS on the next years. But we must have in mind asymmetry of information and moral hazard.

  2. Modeling of preventive maintenance changes influence upon flight safety indexes

    Directory of Open Access Journals (Sweden)

    А.В. Гончаренко

    2004-03-01

    Full Text Available  It is considered a simplified model of connection between the catastrophic events flow frequency and both preventive maintenance changes periodicity and diagnosis depth of aviation equipment. It is deduced specific formulas for computing the changes and diagnostics parameters influence upon the values of both the catastrophic events flow frequency and technical-economical control factor criterion of flight safety levels.

  3. Modeling of Ship Collision Risk Index Based on Complex Plane and Its Realization

    Directory of Open Access Journals (Sweden)

    Xiaoqin Xu

    2016-07-01

    Full Text Available Ship collision risk index is the basic and important concept in the domain of ship collision avoidance. In this paper, the advantages and deficiencies of the various calculation methods of ship collision risk index are pointed out. Then the ship collision risk model based on complex plane, which can well make up for the deficiencies of the widely-used evaluation model proposed by Kearon.J and Liu ruru is proposed. On this basis, the calculation method of collision risk index under the encountering situation of multi-ships is constructed, then the three-dimensional image and spatial curve of the risk index are figured out. Finally, single chip microcomputer is used to realize the model. And attaching this single chip microcomputer to ARPA is helpful to the decision-making of the marine navigators.

  4. An agent-based model for the bibliometric h-index

    Science.gov (United States)

    Ionescu, Georgia; Chopard, Bastien

    2013-10-01

    We model a virtual scientific community in which authors publish and cite articles. Citations are attributed according to a preferential attachment mechanism. From the numerical simulations, the h-index can be computed. This bottom-up approach reproduces well real bibliometric data. We consider two versions of our model. (1) The single-scientist is controlled by two parameters which can be tuned to reproduce the value of the h-index of many real scientists. Moreover, this model shows how the h-index grows with the number of citations, for a fixed number of articles. We also define an average h-index that can be used to compare the scientific productivity of institutions of different sizes. (2) The multi-scientist model considers a population of scientists and allows us to study the impact of removing citations from the low h-index researchers on the community. Simulations on real bibilometric data, as well as the predictions of the model, show that the h-index eco-system can be strongly affected by such a filtering.

  5. Index-aware model order reduction methods applications to differential-algebraic equations

    CERN Document Server

    Banagaaya, N; Schilders, W H A

    2016-01-01

    The main aim of this book is to discuss model order reduction (MOR) methods for differential-algebraic equations (DAEs) with linear coefficients that make use of splitting techniques before applying model order reduction. The splitting produces a system of ordinary differential equations (ODE) and a system of algebraic equations, which are then reduced separately. For the reduction of the ODE system, conventional MOR methods can be used, whereas for the reduction of the algebraic systems new methods are discussed. The discussion focuses on the index-aware model order reduction method (IMOR) and its variations, methods for which the so-called index of the original model is automatically preserved after reduction.

  6. A Simple Model for Measuring Refractive Index of a Liquid Based upon Fresnel Equations

    Institute of Scientific and Technical Information of China (English)

    ZHANG Zhi-Wei; WU Zhi-Fang; WEN Ting-Dun

    2007-01-01

    Due to many experimental data required and a lot of calculations involved, it is very complex and cumbersome to model prism-based liquid-refractive-index-measuring methods. We develop a new method of mathematical modelling for measuring refractive index of a liquid based upon the Fresnel formula and prism internal reflection at an incident angle less than the critical angle. With this method, only two different concentrations measurements for a kind of solution can lead to the determination of computational model. Measurements are performed to examine the validity of the theoretical model. Experimental results indicate the feasibility of the theoretical model with an error of 1%. The method is also capable of measuring even smaller changes in the optical refractive index of the material on a metal surface by the surface plasma resonance sensing techniques.

  7. A novel water poverty index model for evaluation of Chinese regional water security

    Science.gov (United States)

    Gong, L.; Jin, C. L.; Li, Y. X.; Zhou, Z. L.

    2017-08-01

    This study proposed an improved Water Poverty Index (WPI) model employed in evaluating Chinese regional water security. Firstly, the Chinese WPI index system was constructed, in which the indicators were obtained according to China River reality. A new mathematical model was then established for WPI values calculation on the basis of Center for Ecology and Hydrology (CEH) model. Furthermore, this new model was applied in Shiyanghe River (located in western China). It turned out that the Chinese index system could clearly reflect the indicators threatening security of river water and the Chinese WPI model is feasible. This work has also developed a Water Security Degree (WSD) standard which is able to be regarded as a scientific basis for further water resources utilization and water security warning mechanism formulation.

  8. Perspectives in using a remotely sensed dryness index in distributed hydrological models at river basin scale

    DEFF Research Database (Denmark)

    Andersen, Jens Asger; Sandholt, Inge; Jensen, Karsten Høgh

    2002-01-01

    -series of precipitation from 112 stations in the basin. The model was calibrated and validated based on river discharge data from nine stations in the basin for 11 years. Calibration and validation results suggested that the spatial resolution of the input data in parts of the area was not sufficient for a satisfactory...... evaluation of the modelling performance. The study further examined the spatial patterns in the model input and output, and it was found that particularly the spatial resolution of the precipitation input had a major impact on the model response. In an attempt to improve the model performance, this study...... examines a remotely sensed dryness index for its relationship to simulated soil moisture and evaporation for six days in the wet season 1990. The index is derived from observations of surface temperature and vegetation index as measured by the NOAA Advanced Very High Resolution Radiometer (AVHRR) sensor...

  9. Beyond Body Mass Index. Is the Body Cell Mass Index (BCMI) a useful prognostic factor to describe nutritional, inflammation and muscle mass status in hospitalized elderly?: Body Cell Mass Index links in elderly.

    Science.gov (United States)

    Rondanelli, Mariangela; Talluri, Jacopo; Peroni, Gabriella; Donelli, Chiara; Guerriero, Fabio; Ferrini, Krizia; Riggi, Emilia; Sauta, Elisabetta; Perna, Simone; Guido, Davide

    2017-03-24

    The aim of this study was to establish the effectiveness of Body Cell Mass Index (BCMI) as a prognostic index of (mal)nutrition, inflammation and muscle mass status in the elderly. A cross-sectional observational study has been conducted on 114 elderly patients (80 women and 34 men), with mean age equal to 81.07 ± 6.18 years. We performed a multivariate regression model by Structural Equation Modelling (SEM) framework. We detected the effects over a Mini Nutritional Assessment (MNA) stratification, by performing a multi-group multivariate regression model (via SEM) in two MNA nutritional strata, less and bigger (or equal) than 17. BCMI had a significant effect on albumin (β = +0.062, P = 0.001), adjusting for the other predictors of the model as Body Mass Index (BMI), age, sex, fat mass and cognitive condition. An analogous result is maintained in MNABMI has confirmed to be a solid prognostic factor for both free fat mass (FFM) (β = +0.480, P Index (SMI) (β = +0.265, P BMI, proved to be significantly related to an important marker as albumin in geriatric population. Then, assessing the BCMI could be a valuable, inexpensive, easy to perform tool to investigate the inflammation status of elderly patients. Copyright © 2017 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

  10. Agent-based model for the h-index - Exact solution

    CERN Document Server

    Żogała-Siudem, Barbara; Cena, Anna; Gagolewski, Marek

    2015-01-01

    The Hirsch's $h$-index is perhaps the most popular citation-based measure of the scientific excellence. In 2013 G. Ionescu and B. Chopard proposed an agent-based model for this index to describe a publications and citations generation process in an abstract scientific community. With such an approach one can simulate a single scientist's activity, and by extension investigate the whole community of researchers. Even though this approach predicts quite well the $h$-index from bibliometric data, only a solution based on simulations was given. In this paper, we complete their results with exact, analytic formulas. What is more, due to our exact solution we are able to simplify the Ionescu-Chopard model which allows us to obtain a compact formula for $h$-index. Moreover, a simulation study designed to compare both, approximated and exact, solutions is included. The last part of this paper presents evaluation of the obtained results on a real-word data set.

  11. On the Superconformal Index and Eigenfunctions of the Elliptic RS Model

    Science.gov (United States)

    Razamat, Shlomo S.

    2014-06-01

    We define an infinite sequence of superconformal indices, , generalizing the Schur index for theories. For theories of class we then suggest a recursive technique to completely determine . The information encoded in the sequence of indices is equivalent to the superconformal index depending on a maximal set of fugacities. Mathematically, the procedure suggested in this note provides a perturbative algorithm for computing a set of eigenfunctions of the elliptic Ruijsenaars-Schneider model.

  12. On the N=2 superconformal index and eigenfunctions of the elliptic RS model

    CERN Document Server

    Razamat, Shlomo S

    2013-01-01

    We define an infinite sequence of superconformal indices, I_n, generalizing the Schur index for N=2 theories. For theories of class S we then suggest a recursive technique to completely determine I_n. The information encoded in the sequence of indices is equivalent to the N=2 superconformal index depending on the maximal set of fugacities. Mathematically, the procedure suggested in this note provides a perturbative algorithm for computing a set of eigenfunctions of the elliptic Ruijsenaars-Schneider model.

  13. Microscopic spin model for the dynamics of the return distribution of the Korean stock market index

    Science.gov (United States)

    Yang, Jae-Suk; Chae, Seungbyung; Jung, Woo-Sung; Moon, Hie-Tae

    2006-05-01

    In this paper, we studied the dynamics of the log-return distribution of the Korean Composition Stock Price Index (KOSPI) from 1992 to 2004. Based on the microscopic spin model, we found that while the index during the late 1990s showed a power-law distribution, the distribution in the early 2000s was exponential. This change in distribution shape was caused by the duration and velocity, among other parameters, of the information that flowed into the market.

  14. Selective reductions of cyclic 1,3-diesters using SmI(2) and H(2)O.

    Science.gov (United States)

    Guazzelli, Giuditta; De Grazia, Sara; Collins, Karl D; Matsubara, Hiroshi; Spain, Malcolm; Procter, David J

    2009-06-01

    SmI(2)-H(2)O reduces cyclic 1,3-diesters to 3-hydroxyacids with no over-reduction. Furthermore, the reagent system is selective for cyclic 1,3-diesters over acyclic 1,3-diesters and esters. Experimental and computational studies suggest that the origin of the selectivity lies in the initial electron transfer to the ester carbonyl and the anomeric stabilization of the resulting radical-anion intermediate. Radicals formed by one-electron reduction of the ester carbonyl group have been exploited in intramolecular additions to alkenes.

  15. Selective reductions of cyclic 1,3-diesters by using SmI(2) and H(2)O.

    Science.gov (United States)

    Collins, Karl D; Oliveira, Juliana M; Guazzelli, Giuditta; Sautier, Brice; De Grazia, Sara; Matsubara, Hiroshi; Helliwell, Madeleine; Procter, David J

    2010-09-01

    SmI(2)/H(2)O reduces cyclic 1,3-diesters to 3-hydroxyacids with no over reduction. Furthermore, the reagent system is selective for cyclic 1,3-diesters over acyclic 1,3-diesters, and esters. Radicals formed by one-electron reduction of the ester carbonyl group have been exploited in intramolecular additions to alkenes. The ketal unit and the reaction temperature have a marked impact on the diastereoselectivity of the cyclizations. Cyclization cascades are possible when two alkenes are present in the starting cyclic diester and lead to the formation of two rings and four stereocenters with excellent stereocontrol.

  16. Highly stereoselective construction of spiro[4.5]decanes by SmI(2)-promoted ketyl radical mediated tandem cyclization.

    Science.gov (United States)

    Inui, Masaharu; Nakazaki, Atsuo; Kobayashi, Susumu

    2007-02-01

    [reaction: see text] Ketyl radical mediated tandem cyclization of omega-alkynyl carbonyl compounds bearing activated alkene using SmI(2) gave spiro[4.5]decanes stereoselectively. In the presence of HMPA, alpha,beta-unsaturated esters and alkenyl phosphonates were converted to spiro[4.5]decanes and a monocyclic compound, respectively. In the presence of Sm, bicyclic lactones were obtained from alpha,beta-unsaturated esters. The spiro[4.5]decane was provided from an alkenyl phosphonate. Interestingly, the stereochemical changeover at the first cyclization has been controlled by means of a variety of activators.

  17. Evaluating MJO Event Initiation and Decay in the Skeleton Model using an RMM-like Index

    Science.gov (United States)

    2015-11-25

    the skeleton model. 441 The decrease in the number of separate MJO events in the skeleton model while 442 maintaining a nearly equal or slightly...Climate, 26, 859 1130-1151. 860 Thual, S., and A. J. Majda (2015), A skeleton model for the MJO with refined vertical structure, 861 Climate Dynam...1 2 Evaluating MJO Event Initiation and Decay in the Skeleton Model using an RMM-like Index 3 4 5 Justin P. Stachnik*1,2, Duane E

  18. Forces from highly focused laser beams: modeling, measurement and application to refractive index measurements

    CERN Document Server

    Knoener, G; Nieminen, T A; Heckenberg, N R; Rubinsztein-Dunlop, H

    2007-01-01

    The optical forces in optical tweezers can be robustly modeled over a broad range of parameters using generalsed Lorenz-Mie theory. We describe the procedure, and show how the combination of experimental measurement of properties of the trap coupled with computational modeling, can allow unknown parameters of the particle - in this case, the refractive index - to be determined.

  19. Simulation Models of Leaf Area Index and Yield for Cotton Grown with Different Soil Conditioners.

    Directory of Open Access Journals (Sweden)

    Lijun Su

    Full Text Available Simulation models of leaf area index (LAI and yield for cotton can provide a theoretical foundation for predicting future variations in yield. This paper analyses the increase in LAI and the relationships between LAI, dry matter, and yield for cotton under three soil conditioners near Korla, Xinjiang, China. Dynamic changes in cotton LAI were evaluated using modified logistic, Gaussian, modified Gaussian, log normal, and cubic polynomial models. Universal models for simulating the relative leaf area index (RLAI were established in which the application rate of soil conditioner was used to estimate the maximum LAI (LAIm. In addition, the relationships between LAIm and dry matter mass, yield, and the harvest index were investigated, and a simulation model for yield is proposed. A feasibility analysis of the models indicated that the cubic polynomial and Gaussian models were less accurate than the other three models for simulating increases in RLAI. Despite significant differences in LAIs under the type and amount of soil conditioner applied, LAIm could be described by aboveground dry matter using Michaelis-Menten kinetics. Moreover, the simulation model for cotton yield based on LAIm and the harvest index presented in this work provided important theoretical insights for improving water use efficiency in cotton cultivation and for identifying optimal application rates of soil conditioners.

  20. Index of Complexity, Outcome and Need scored on plaster and digital models.

    NARCIS (Netherlands)

    Veenema, A.C.; Katsaros, C.; Boxum, S.C.; Bronkhorst, E.M.; Kuijpers-Jagtman, A.M.

    2009-01-01

    The aim of this study was to compare standard plaster models with their digital counterparts for the applicability of the Index of Complexity, Outcome, and Need (ICON). Generated study models of 30 randomly selected patients: 30 pre- (T(0)) and 30 post- (T(1)) treatment. Two examiners, calibrated in

  1. Index of Complexity, Outcome and Need scored on plaster and digital models

    NARCIS (Netherlands)

    Veenema, A. C.; Katsaros, C.; Boxum, S. C.; Bronkhorst, E. M.; Kuijpers-Jagtman, A. M.

    2009-01-01

    The aim of this study was to compare standard plaster models with their digital counterparts for the applicability of the Index of Complexity, Outcome, and Need (ICON). Generated study models of 30 randomly selected patients: 30 pre- (T-0) and 30 post- (T-1) treatment. Two examiners, calibrated in t

  2. Index Option Pricing Models with Stochastic Volatility and Stochastic Interest Rates

    NARCIS (Netherlands)

    Jiang, G.J.; van der Sluis, P.J.

    2000-01-01

    This paper specifies a multivariate stochastic volatility (SV) model for the S&P500 index and spot interest rate processes. We first estimate the multivariate SV model via the efficient method of moments (EMM) technique based on observations of underlying state variables, and then investigate the

  3. Development of a water quality loading index based on water quality modeling.

    Science.gov (United States)

    Song, Tao; Kim, Kyehyun

    2009-03-01

    Water quality modeling is an ideal tool for simulating physical, chemical, and biological changes in aquatic systems. It has been utilized in a number of GIS-based water quality management and analysis applications. However, there is considerable need for a decision-making process to translate the modeling result into an understandable form and thereby help users to make relevant judgments and decisions. This paper introduces a water quality index termed QUAL2E water quality loading index (QWQLI). This new WQI is based on water quality modeling by QUAL2E, which is a popular steady-state model for the water quality of rivers and streams. An experiment applying the index to the Sapgyo River in Korea was implemented. Unlike other WQIs, the proposed index is specifically used for simulated water quality using QUAL2E to mainly reflect pollutant loading levels. Based on the index, an iterative modeling-judgment process was designed to make decisions to decrease input pollutants from pollutant sources. Furthermore, an indexing and decision analysis can be performed in a GIS framework, which can provide various spatial analyses. This can facilitate the decision-making process under various scenarios considering spatial variability. The result shows that the index can evaluate and classify the simulation results using QUAL2E and that it can effectively identify the elements that should be improved in the decision-making process. In addition, the results imply that further study should be carried out to automate algorithms and subsidiary programs supporting the decision-making process.

  4. Generalized Weierstrass-Mandelbrot Function Model for Actual Stocks Markets Indexes with Nonlinear Characteristics

    Science.gov (United States)

    Zhang, L.; Yu, C.; Sun, J. Q.

    2015-03-01

    It is difficult to simulate the dynamical behavior of actual financial markets indexes effectively, especially when they have nonlinear characteristics. So it is significant to propose a mathematical model with these characteristics. In this paper, we investigate a generalized Weierstrass-Mandelbrot function (WMF) model with two nonlinear characteristics: fractal dimension D where 2 > D > 1.5 and Hurst exponent (H) where 1 > H > 0.5 firstly. And then we study the dynamical behavior of H for WMF as D and the spectrum of the time series γ change in three-dimensional space, respectively. Because WMF and the actual stock market indexes have two common features: fractal behavior using fractal dimension and long memory effect by Hurst exponent, we study the relationship between WMF and the actual stock market indexes. We choose a random value of γ and fixed value of D for WMF to simulate the S&P 500 indexes at different time ranges. As shown in the simulation results of three-dimensional space, we find that γ is important in WMF model and different γ may have the same effect for the nonlinearity of WMF. Then we calculate the skewness and kurtosis of actual Daily S&P 500 index in different time ranges which can be used to choose the value of γ. Based on these results, we choose appropriate γ, D and initial value into WMF to simulate Daily S&P 500 indexes. Using the fit line method in two-dimensional space for the simulated values, we find that the generalized WMF model is effective for simulating different actual stock market indexes in different time ranges. It may be useful for understanding the dynamical behavior of many different financial markets.

  5. Skeletal Muscle Depletion Predicts the Prognosis of Patients with Advanced Pancreatic Cancer Undergoing Palliative Chemotherapy, Independent of Body Mass Index.

    Directory of Open Access Journals (Sweden)

    Younak Choi

    Full Text Available Body composition has emerged as a prognostic factor in cancer patients. We investigated whether sarcopenia at diagnosis and loss of skeletal muscle during palliative chemotherapy were associated with survival in patients with pancreatic cancer.We retrospectively reviewed the clinical outcomes of pancreatic cancer patients receiving palliative chemotherapy between 2003 and 2010. The cross-sectional area of skeletal muscle at L3 by computed tomography was analyzed with Rapidia 3D software. We defined sarcopenia as a skeletal muscle index (SMI< 42.2 cm2/m2 (male and < 33.9 cm2/m2 (female using ROC curve.Among 484 patients, 103 (21.3% patients were sarcopenic at diagnosis. Decrease in SMI during chemotherapy was observed in 156 (60.9% male and 65 (40.6% female patients. Decrease in body mass index (BMI was observed in 149 patients (37.3%, with no gender difference. By multivariate analysis, sarcopenia (P< 0.001, decreasedBMI and SMI during chemotherapy (P = 0.002, P = 0.004, respectively were poor prognostic factors for overall survival (OS. While the OS of male patients was affected with sarcopenia (P< 0.001 and decreased SMI (P = 0.001, the OS of female patients was influenced with overweight at diagnosis (P = 0.006, decreased BMI (P = 0.032 and decreased SMI (P = 0.014. Particularly, while the change of BMI during chemotherapy did not have impact on OS within the patients with maintained SMI (P = 0.750, decrease in SMI was associated with poor OS within the patients with maintained BMI (HR 1.502; P = 0.002.Sarcopenia at diagnosis and depletion of skeletal muscle, independent of BMI change, during chemotherapy were poor prognostic factors in advanced pancreatic cancer.

  6. Brittleness index and seismic rock physics model for anisotropic tight-oil sandstone reservoirs

    Institute of Scientific and Technical Information of China (English)

    Huang Xin-Rui; Huang Jian-Ping; Li Zhen-Chun; Yang Qin-Yong; Sun Qi-Xing; Cui Wei

    2015-01-01

    Brittleness analysis becomes important when looking for sweet spots in tight-oil sandstone reservoirs. Hence, appropriate indices are required as accurate brittleness evaluation criteria. We construct a seismic rock physics model for tight-oil sandstone reservoirs with vertical fractures. Because of the complexities in lithology and pore structure and the anisotropic characteristics of tight-oil sandstone reservoirs, the proposed model is based on the solid components, pore connectivity, pore type, and fractures to better describe the sandstone reservoir microstructure. Using the model, we analyze the brittleness sensitivity of the elastic parameters in an anisotropic medium and establish a new brittleness index. We show the applicability of the proposed brittleness index for tight-oil sandstone reservoirs by considering the brittleness sensitivity, the rock physics response characteristics, and cross-plots. Compared with conventional brittleness indexes, the new brittleness index has high brittleness sensitivity and it is the highest in oil-bearing brittle zones with relatively high porosity. The results also suggest that the new brittleness index is much more sensitive to elastic properties variations, and thus can presumably better predict the brittleness characteristics of sweet spots in tight-oil sandstone reservoirs.

  7. Modeling and computing of stock index forecasting based on neural network and Markov chain.

    Science.gov (United States)

    Dai, Yonghui; Han, Dongmei; Dai, Weihui

    2014-01-01

    The stock index reflects the fluctuation of the stock market. For a long time, there have been a lot of researches on the forecast of stock index. However, the traditional method is limited to achieving an ideal precision in the dynamic market due to the influences of many factors such as the economic situation, policy changes, and emergency events. Therefore, the approach based on adaptive modeling and conditional probability transfer causes the new attention of researchers. This paper presents a new forecast method by the combination of improved back-propagation (BP) neural network and Markov chain, as well as its modeling and computing technology. This method includes initial forecasting by improved BP neural network, division of Markov state region, computing of the state transition probability matrix, and the prediction adjustment. Results of the empirical study show that this method can achieve high accuracy in the stock index prediction, and it could provide a good reference for the investment in stock market.

  8. A Model of Website Quality-Based E-Commerce Satisfaction Index

    Directory of Open Access Journals (Sweden)

    Pilelienė Lina

    2016-03-01

    Full Text Available In the contemporary highly competitive e-business market, organization’s success depends on satisfaction and loyalty of its customers. Whereas the differentiation of the determinants and their impact on customer satisfaction in different countries exists, the research aims at developing a model of website quality-based e-commerce customer satisfaction index. While achieving the aim of the article, the analysis and synthesis of scientific literature is provided. Furthermore, quantitative research and the analysis of the research results by means of principle component analysis, structural equation modelling using partial least squares path modelling methodology, and Importance-Performance matrix are applied. As a research result, the model of website quality-based e-commerce customer satisfaction index is elaborated. Latter model indicates the factors, which are worth investments in order to gain customer satisfaction and loyalty. As a result, not profitable investments might be avoided, which could contribute to the growing competitiveness of e-business.

  9. Diagnostic accuracy of a mathematical model to predict apnea-hypopnea index using nighttime pulse oximetry

    Science.gov (United States)

    Ebben, Matthew R.; Krieger, Ana C.

    2016-03-01

    The intent of this study is to develop a predictive model to convert an oxygen desaturation index (ODI) to an apnea-hypopnea index (AHI). This model will then be compared to actual AHI to determine its precision. One thousand four hundred and sixty-seven subjects given polysomnograms with concurrent pulse oximetry between April 14, 2010, and February 7, 2012, were divided into model development (n=733) and verification groups (n=734) in order to develop a predictive model of AHI using ODI. Quadratic regression was used for model development. The coefficient of determination (r2) between the actual AHI and the predicted AHI (PredAHI) was 0.80 (r=0.90), which was significant at a papnea.

  10. Stochastic modeling of soundtrack for efficient segmentation and indexing of video

    Science.gov (United States)

    Naphade, Milind R.; Huang, Thomas S.

    1999-12-01

    Tools for efficient and intelligent management of digital content are essential for digital video data management. An extremely challenging research area in this context is that of multimedia analysis and understanding. The capabilities of audio analysis in particular for video data management are yet to be fully exploited. We present a novel scheme for indexing and segmentation of video by analyzing the audio track. This analysis is then applied to the segmentation and indexing of movies. We build models for some interesting events in the motion picture soundtrack. The models built include music, human speech and silence. We propose the use of hidden Markov models to model the dynamics of the soundtrack and detect audio-events. Using these models we segment and index the soundtrack. A practical problem in motion picture soundtracks is that the audio in the track is of a composite nature. This corresponds to the mixing of sounds from different sources. Speech in foreground and music in background are common examples. The coexistence of multiple individual audio sources forces us to model such events explicitly. Experiments reveal that explicit modeling gives better result than modeling individual audio events separately.

  11. Modeling earthquake indexes derived from the earthquake warning system upon the planet earth

    Science.gov (United States)

    Li, Yong

    2010-12-01

    By studying the correlation between historical earthquake data and the distributional characteristics of parameters of solid earth tides in the earthquake epicenter, we are able to design a forecasting function of earthquake probability. We put forward a design method for the Earthquake Warning System. The model could theoretically simulate and be used to predict the probability of strong earthquakes that could occur anywhere at any time. In addition, the system could also conveniently obtain global or partial Modeling Earthquake Indexes to finally combine the precise pointing prediction and forecast of partial indexes. The literature quotes global data values, provided by NEIC, of 1544 M ⩾ 6.5 earthquakes. It also gives examples of instantaneous earthquake indexes of the whole world and Taiwan Area on 1st January 2010, UT=0:00 and the average earthquake index near the Taiwan Area. According to the 10-year pointing prediction of strong earthquakes in San Francisco, the literature provides the average earthquake index on 24th June 2015 (± 15 days), in its neighborhood.

  12. Modeling earthquake indexes derived from the earthquake warning system upon the planet earth

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    By studying the correlation between historical earthquake data and the distributional characteristics of parameters of solid earth tides in the earthquake epicenter, we are able to design a forecasting function of earthquake probability. We put forward a design method for the Earthquake Warning System. The model could theoretically simulate and be used to predict the probability of strong earthquakes that could occur anywhere at any time. In addition, the system could also conveniently obtain global or partial Modeling Earthquake Indexes to finally combine the precise pointing prediction and forecast of partial indexes. The literature quotes global data values, provided by NEIC, of 1544 M ≥ 6.5 earthquakes. It also gives examples of instantaneous earthquake indexes of the whole world and Taiwan Area on 1st January 2010, UT=0:00 and the average earthquake index near the Taiwan Area. According to the 10-year pointing prediction of strong earthquakes in San Francisco, the literature provides the average earthquake index on 24th June 2015 (± 15 days), in its neighborhood.

  13. On-farm evaluation of the Salmon Welfare Index Model (SWIM 1.0)

    NARCIS (Netherlands)

    Folkedal, O.; Pettersen, J.M.; Bracke, M.B.; Stien, L.H.; Nilsson, J.; Martins, C.; Breck, O.; Midtlyng, P.J.; Kristiansen, T.

    2016-01-01

    The present study investigated the operational feasibility of the recently developed Salmon Welfare Index Model (SWIM 1.0) designed for Atlantic salmon (Salmo salar L) in production cages. Ten salmon farms containing spring smolts were visited twice, first between May and June the first year in s

  14. SINGLE SAMPLING PLANS FOR VARIABLES INDEXED BY AQL AND AOQL UNDER EWMA MODEL

    Directory of Open Access Journals (Sweden)

    J. R. Singh

    2012-12-01

    Full Text Available The objective of this paper is to provide expression for evaluating sample size(n,acceptance parameter(k, Average Outgoing Quality(AOQ and Operating Characteristic(OCfunction under Exponentially Weighted Moving Average (EWMA model. The paper provides aninvestigation into the robustness of single sampling procedure indexed by Acceptance QualityLevel(AQL and Average Outgoing Quality Level(AOQL.

  15. Modeling the Implied Volatility Surface-: A Study for S&P 500 Index Option

    Directory of Open Access Journals (Sweden)

    Jin Zheng

    2013-02-01

    Full Text Available The aim of this study is to demonstrate a framework to model the implied volatilities of S&P 500 index options and estimate the implied volatilities of stock prices using stochastic processes. In this paper, three models are established to estimate whether the implied volatilities are constant during the whole life of options. We mainly concentrate on the Black-Scholes and Dumas’ option models and make the empirical comparisons. By observing the daily-recorded data of S&P 500 index, we study the volatility model and volatility surface. Results from numerical experiments show that the stochastic volatilities are determined by moneyness rather than constant. Our research is of vital importance, especially for forecasting stock market shocks and crises, as one of the applications.

  16. Implementation of Real-Time Monitoring and Management System for Network Storage System Based on SMI-S%基于SMI-S的网络存储系统实时监控与管理系统的实现

    Institute of Scientific and Technical Information of China (English)

    高岩; 孟承运; 王振涛; 刘晓光; 王刚

    2011-01-01

    With the rapid development of storage technology, the capacity and scale of network storage system are growing. This requires that storage management systems must be of the high manageability, maintainability and interoperability among different management softwares are needed. SMI-S, an interface standard of storage management, is proposed by SNIA. It makes storage management can be vendor-independent, and also reduces management cost, raise the management efficiency. In this paper, we design and implement a storage management system which is based on SMI-S standard and WBEM/CIM framework. This system can achieve real-time monitoring and remote management of the remote hosts, snapshot systems and remote copy systems well although there are many differences between these managed systems. This storage management system has many functions such as real-time dynamic monitoring, remote command transmission, logging, error information statistics, alarming and so on. And users can get all information and results of this management system by a graphic interface through web directly. It improves the operability and maintainability of this system. Test results show that this system can run stably and be well-behaved, afford an available solution for the research on real-time monitoring and remote management of storage systems, also for storage management of enterprise customers.%随着存储技术的高速发展,网络存储系统容量和规模不断扩大.这就要求存储管理系统必须具备高可管理性、可维护性,并且不同管理软件之间要具有互可操作性.SMI-S (storage management initiative specification)是SNIA(storage networking industry association)提出的存储管理的接口标准.它使存储管理可以真正实现与厂商无关,从而降低管理成本,提高管理效率.以基于SMI-S标准的WBEM/CIM框架为基础设计并实现了一个存储管理系统,该系统能够在屏蔽异构性的情况下,实现对远端主机和快照

  17. Site index models for calabrian pine (Pinus brutia Ten.) in Thasos Island, Greece

    OpenAIRE

    Kyriaki Kitikidou; Diamantis Bountis; Elias Milios

    2011-01-01

    A site index model for Calabrian pine (Pinus brutia Ten.) in Thasos island (North Aegean sea, Greece) is presented. The model was fitted and validated from 150 stem analyses, obtained from 75 fixed-area plots from five experimental sites. Four height growth equations of difference form were tested and the BAILEY and CLUTTER (1974) function was considered appropriate due to its good performance with both fitting and validation data. The results show errors lower than 5% and little bias.

  18. Site index models for calabrian pine (Pinus brutia Ten. in Thasos Island, Greece

    Directory of Open Access Journals (Sweden)

    Kyriaki Kitikidou

    2011-01-01

    Full Text Available A site index model for Calabrian pine (Pinus brutia Ten. in Thasos island (North Aegean sea, Greece is presented. The model was fitted and validated from 150 stem analyses, obtained from 75 fixed-area plots from five experimental sites. Four height growth equations of difference form were tested and the BAILEY and CLUTTER (1974 function was considered appropriate due to its good performance with both fitting and validation data. The results show errors lower than 5% and little bias.

  19. SITE INDEX MODELS FOR CALABRIAN PINE (PinusbrutiaTen. IN THASOS ISLAND, GREECE

    Directory of Open Access Journals (Sweden)

    Kyriaki Kitikidou

    2011-03-01

    Full Text Available A site index model for Calabrian pine (Pinusbrutia Ten. in Thasos island (North Aegean sea, Greece is presented. The model was fitted and validated from 150 stem analyses, obtained from 75 fixed-area plots from five experimental sites. Four height growth equations of difference form were tested and the Bailey and Clutter (1974 function was considered appropriate due to its good performance with both fitting and validation data. The results show errors lower than 5% and little bias.

  20. Comparing Bayesian and Maximum Likelihood Predictors in Structural Equation Modeling of Children’s Lifestyle Index

    OpenAIRE

    Che Wan Jasimah bt Wan Mohamed Radzi; Huang Hui; Hashem Salarzadeh Jenatabadi

    2016-01-01

    Several factors may influence children’s lifestyle. The main purpose of this study is to introduce a children’s lifestyle index framework and model it based on structural equation modeling (SEM) with Maximum likelihood (ML) and Bayesian predictors. This framework includes parental socioeconomic status, household food security, parental lifestyle, and children’s lifestyle. The sample for this study involves 452 volunteer Chinese families with children 7–12 years old. The experimental results a...

  1. Fiber Bragg Grating Modeling, Characterization and Optimization with different index profiles

    Directory of Open Access Journals (Sweden)

    SUNITA UGALE

    2010-09-01

    Full Text Available This paper presents the modeling and characterization of an optical fiber grating for maximum reflectivity, minimum side lobe power wastage. Grating length and refractive index profile are the critical parameters in contributing to performance of fiber Bragg grating. The reflection spectra and side lobes strength were analyzed with different lengths and different refractive index profiles. podization techniques are used to get optimized reflection spectra. The simulations are based on solving coupled mode equations by transfer matrix method that describes the interaction of guided modes.

  2. Compatible dominant height - site index model for juniper (Juniperus deppeana Steud.

    Directory of Open Access Journals (Sweden)

    Antonio Rodríguez-Carrillo

    2015-01-01

    Full Text Available The aim of this study was to determine the site quality of juniper (Juniperus deppeana Steud. in the San Dimas region of the state of Durango, Mexico, using the site index method. The database comes from stem analysis of 43 trees felled in harvesting activities. The Chapman-Richards and Schumacher models, by means of the algebraic difference and generalized algebraic difference approaches, were tested to determine the site index; in addition, the error structure was modeled with a second-order autoregressive model to remedy the dependency of existing longitudinal errors. The results showed that the Chapman-Richards model in generalized algebraic difference form provided the best fit according to the adjusted coefficient of determination (R2 adj = 0.98 and root mean square error (RMSE = 0.46 m. Plotting of the quality curves generated with this model, superimposed on the observed heights, corroborated the goodness of fit of the model selected. The equation obtained with the generalized algebraic difference approach directly estimates the dominant height and site index at any height and base age.

  3. Using Indexed and Synchronous Events to Model and Validate Cyber-Physical Systems

    Directory of Open Access Journals (Sweden)

    Chen-Wei Wang

    2015-06-01

    Full Text Available Timed Transition Models (TTMs are event-based descriptions for modelling, specifying, and verifying discrete real-time systems. An event can be spontaneous, fair, or timed with specified bounds. TTMs have a textual syntax, an operational semantics, and an automated tool supporting linear-time temporal logic. We extend TTMs and its tool with two novel modelling features for writing high-level specifications: indexed events and synchronous events. Indexed events allow for concise description of behaviour common to a set of actors. The indexing construct allows us to select a specific actor and to specify a temporal property for that actor. We use indexed events to validate the requirements of a train control system. Synchronous events allow developers to decompose simultaneous state updates into actions of separate events. To specify the intended data flow among synchronized actions, we use primed variables to reference the post-state (i.e., one resulted from taking the synchronized actions. The TTM tool automatically infers the data flow from synchronous events, and reports errors on inconsistencies due to circular data flow. We use synchronous events to validate part of the requirements of a nuclear shutdown system. In both case studies, we show how the new notation facilitates the formal validation of system requirements, and use the TTM tool to verify safety, liveness, and real-time properties.

  4. Preparation and use of samarium diiodide (SmI(2)) in organic synthesis: the mechanistic role of HMPA and Ni(II) salts in the samarium Barbier reaction.

    Science.gov (United States)

    Sadasivam, Dhandapani V; Choquette, Kimberly A; Flowers, Robert A

    2013-02-04

    Although initially considered an esoteric reagent, SmI(2) has become a common tool for synthetic organic chemists. SmI(2) is generated through the addition of molecular iodine to samarium metal in THF.(1,2-3) It is a mild and selective single electron reductant and its versatility is a result of its ability to initiate a wide range of reductions including C-C bond-forming and cascade or sequential reactions. SmI(2) can reduce a variety of functional groups including sulfoxides and sulfones, phosphine oxides, epoxides, alkyl and aryl halides, carbonyls, and conjugated double bonds.(2-12) One of the fascinating features of SmI-(2)-mediated reactions is the ability to manipulate the outcome of reactions through the selective use of cosolvents or additives. In most instances, additives are essential in controlling the rate of reduction and the chemo- or stereoselectivity of reactions.(13-14) Additives commonly utilized to fine tune the reactivity of SmI(2) can be classified into three major groups: (1) Lewis bases (HMPA, other electron-donor ligands, chelating ethers, etc.), (2) proton sources (alcohols, water etc.), and (3) inorganic additives (Ni(acac)(2), FeCl(3), etc).(3) Understanding the mechanism of SmI(2) reactions and the role of the additives enables utilization of the full potential of the reagent in organic synthesis. The Sm-Barbier reaction is chosen to illustrate the synthetic importance and mechanistic role of two common additives: HMPA and Ni(II) in this reaction. The Sm-Barbier reaction is similar to the traditional Grignard reaction with the only difference being that the alkyl halide, carbonyl, and Sm reductant are mixed simultaneously in one pot.(1,15) Examples of Sm-mediated Barbier reactions with a range of coupling partners have been reported,(1,3,7,10,12) and have been utilized in key steps of the synthesis of large natural products.(16,17) Previous studies on the effect of additives on SmI(2) reactions have shown that HMPA enhances the

  5. DEVELOPMENT OF A CRASH RISK PROBABILITY MODEL FOR FREEWAYS BASED ON HAZARD PREDICTION INDEX

    Directory of Open Access Journals (Sweden)

    Md. Mahmud Hasan

    2014-12-01

    Full Text Available This study presents a method for the identification of hazardous situations on the freeways. The hazard identification is done using a crash risk probability model. For this study, about 18 km long section of Eastern Freeway in Melbourne (Australia is selected as a test bed. Two categories of data i.e. traffic and accident record data are used for the analysis and modelling. In developing the crash risk probability model, Hazard Prediction Index is formulated in this study by the differences of traffic parameters with threshold values. Seven different prediction indices are examined and the best one is selected as crash risk probability model based on prediction error minimisation.

  6. Optics of an opal modeled with a stratified effective index and the effect of the interface

    CERN Document Server

    Maurin, Isabelle; Laliotis, Athanasios; Bloch, Daniel

    2015-01-01

    Reflection and transmission for an artificial opal are described through a model of stratified medium based upon a one-dimensional variation of an effective index. The model is notably applicable to a Langmuir-Blodgett type disordered opal. Light scattering is accounted for by a phenomenological absorption. The interface region between the opal and the substrate -or the vacuum- induces a periodicity break in the photonic crystal arrangement, which exhibits a prominent influence on the reflection, notably away from the Bragg reflection peak. Experimental results are compared to our model. The model is extendable to inverse opals, stacked cylinders, or irradiation by evanescent waves

  7. The probability distribution model of air pollution index and its dominants in Kuala Lumpur

    Science.gov (United States)

    AL-Dhurafi, Nasr Ahmed; Razali, Ahmad Mahir; Masseran, Nurulkamal; Zamzuri, Zamira Hasanah

    2016-11-01

    This paper focuses on the statistical modeling for the distributions of air pollution index (API) and its sub-indexes data observed at Kuala Lumpur in Malaysia. Five pollutants or sub-indexes are measured including, carbon monoxide (CO); sulphur dioxide (SO2); nitrogen dioxide (NO2), and; particulate matter (PM10). Four probability distributions are considered, namely log-normal, exponential, Gamma and Weibull in search for the best fit distribution to the Malaysian air pollutants data. In order to determine the best distribution for describing the air pollutants data, five goodness-of-fit criteria's are applied. This will help in minimizing the uncertainty in pollution resource estimates and improving the assessment phase of planning. The conflict in criterion results for selecting the best distribution was overcome by using the weight of ranks method. We found that the Gamma distribution is the best distribution for the majority of air pollutants data in Kuala Lumpur.

  8. Validation of an Austrian forecasting model for biologically effective UV radiation (UV index); Validierung des oesterreichischen Vorhersagemodells fuer die biologisch-effektive UV Strahlung (UV Index)

    Energy Technology Data Exchange (ETDEWEB)

    Schauberger, G.; Schmalwieser, A. [Veterinaermedizinische Univ., Vienna (Austria). Inst. fuer Medizinische Physik

    1999-07-01

    Since October 1995 there has been an Austrian forecasting service for the next day's UV index for the three model domains Austria, Europe and world. This forecasting model uses spectral irradiation intensity data measured for 16 specific wavelengths, taking into account solar altitude, height above sea level and atmospheric ozone concentration. Weighting spectral irradiation intensity according to the spectral erythematous effect curve yields a measure of biologically effective UV radiation, and subsequent normalisation with respect to 25 mW{sub biol}/m-2 relates the result to the dimension figure for the UV index. The model has been validated by means of data obtained by continuous measurement with Robertson-Berger measuring devices (site of the Vienna Veterinary Hospital: 48 15 15.47'N; 16 25.98E; elevation 153 amsl). The spectral sensitivity of these instruments is approximately the same as that of the human skin to reddening. Combining the UV index with the expected UV dose for the day permits issuing recommendations for the most suitable sun protection factor in sunblock creams as a function of users' photobiological skin type. Users of the UV index are expected to have enough personal initiative to select the UV index that most closely corresponds to their local population situation. According to the principles of UV radiation protection the performance of the model is considered poor if the measured UV index is greater than the forecast index. This happens in approx. 12% of all cases. The error frequency of positive errors (forecast values greater than measured values) reflects the degree to which extinction of UV radiation through the population occurs, as the present model does not take this factor into account. [German] Seit Oktober 1995 wird in Oesterreich taeglich eine Prognose des UV-Index fuer die drei Modelldomaenen: Oesterreich, Europa und weltweit, geltend fuer den darauf folgenden Tag, erstellt. Das oesterreichische Prognosemodell

  9. Refractive-index-matched hydrogel materials for modeling flow-structure interactions

    CERN Document Server

    Byron, Margaret L

    2012-01-01

    In imaging-based studies of flow around solid objects, it is useful to have materials that are refractive-index-matched to the surrounding fluid. However, materials currently in use are usually rigid and matched to liquids that are either expensive or highly viscous. This does not allow for measurements at high Reynolds number, nor accurate modeling of flexible structures. This work explores the use of two hydrogels (agarose and polyacrylamide) as refractive-index-matched models in water. These hydrogels are inexpensive, can be cast into desired shapes, and have flexibility that can be tuned to match biological materials. The use of water as the fluid phase allows this method to be implemented immediately in many experimental facilities and permits investigation of high Reynolds number phenomena. We explain fabrication methods and present a summary of the physical and optical properties of both gels, and then show measurements demonstrating the use of hydrogel models in quantitative imaging.

  10. Effective index model predicts modal frequencies of vertical-cavity lasers

    Energy Technology Data Exchange (ETDEWEB)

    SERKLAND,DARWIN K.; HADLEY,G. RONALD; CHOQUETTE,KENT D.; GEIB,KENT M.; ALLERMAN,ANDREW A.

    2000-04-18

    Previously, an effective index optical model was introduced for the analysis of lateral waveguiding effects in vertical-cavity surface-emitting lasers. The authors show that the resultant transverse equation is almost identical to the one typically obtained in the analysis of dielectric waveguide problems, such as a step-index optical fiber. The solution to the transverse equation yields the lateral dependence of the optical field and, as is recognized in this paper, the discrete frequencies of the microcavity modes. As an example, they apply this technique to the analysis of vertical-cavity lasers that contain thin-oxide apertures. The model intuitively explains the experimental data and makes quantitative predictions in good agreement with a highly accurate numerical model.

  11. What are individuals with serious mental illness (SMI) dealing with in a competitive labor market? Two case studies.

    Science.gov (United States)

    Chang, Feng-Hang

    2015-06-01

    Understanding individual experiences is crucial for consumer-centered practice and policy. However, limited literature has thoroughly explored individual employment experiences outside of rehabilitation programs. The purpose of this study is to demonstrate the challenges that two individuals with severe mental illness (SMI) had experienced in competitive employment settings. Through in-depth interviews followed by an inductive qualitative analysis, the barriers that restrained them from obtaining and keeping a job were identified. Even though the two cases had dissimilar backgrounds and diagnoses, they had both been struggling with multiple problems including psychiatric symptoms, medications, and social stigma. The findings indicate that a flexible work schedule and a supportive work environment are important to their work participation. However, many competitive employment settings did not allow them to have a flexible schedule for frequent medical leaves. The stigma toward mental illness was also prevalent in various workplaces they worked at. The implications for policy and practice are discussed.

  12. Matching-index-of-refraction of transparent 3D printing models for flow visualization

    Energy Technology Data Exchange (ETDEWEB)

    Song, Min Seop; Choi, Hae Yoon; Seong, Jee Hyun; Kim, Eung Soo, E-mail: kes7741@snu.ac.kr

    2015-04-01

    Matching-index-of-refraction (MIR) has been used for obtaining high-quality flow visualization data for the fundamental nuclear thermal-hydraulic researches. By this method, distortions of the optical measurements such as PIV and LDV have been successfully minimized using various combinations of the model materials and the working fluids. This study investigated a novel 3D printing technology for manufacturing models and an oil-based working fluid for matching the refractive indices. Transparent test samples were fabricated by various rapid prototyping methods including selective layer sintering (SLS), stereolithography (SLA), and vacuum casting. As a result, the SLA direct 3D printing was evaluated to be the most suitable for flow visualization considering manufacturability, transparency, and refractive index. In order to match the refractive indices of the 3D printing models, a working fluid was developed based on the mixture of herb essential oils, which exhibit high refractive index, high transparency, high density, low viscosity, low toxicity, and low price. The refractive index and viscosity of the working fluid range 1.453–1.555 and 2.37–6.94 cP, respectively. In order to validate the MIR method, a simple test using a twisted prism made by the SLA technique and the oil mixture (anise and light mineral oil) was conducted. The experimental results show that the MIR can be successfully achieved at the refractive index of 1.51, and the proposed MIR method is expected to be widely used for flow visualization studies and CFD validation for the nuclear thermal-hydraulic researches.

  13. Modelling catchment-scale shallow landslide occurrence by means of a subsurface flow path connectivity index

    Directory of Open Access Journals (Sweden)

    C. Lanni

    2012-03-01

    Full Text Available Topographic index-based hydrological models have gained wide use to describe the hydrological control on the triggering of rainfall-induced shallow landslides at the catchment scale. A common assumption in these models is that a spatially continuous water table occurs simultaneously at any point across the catchment. However, during a rainfall event isolated patches of subsurface saturation form above an impeding layer and hydrological connectivity of these patches is a necessary condition for lateral flow initiation at a point on the hillslope.

    Here, a new hydrological model is presented, which allows to account for the concept of hydrological connectivity while keeping the simplicity of the topographic index approach. A dynamic topographic index is used to describe the transient lateral flow that is established at a hillslope element when the rainfall amount exceeds a threshold value allowing for (a development of a perched water table above an impeding layer, (b hydrological connectivity between the hillslope element and its own upslope contributing area. A spatially variable soil depth is the main control of hydrological connectivity in the model. The hydrological model is coupled with the infinite slope stability model, and with a scaling model for the rainfall frequency-duration relationship to determine the return period of the critical rainfall needed to cause instability on three catchments located in the Italian Alps. The results show the good ability of our model in predicting observed shallow landslides. The model is finally used to determine local rainfall intensity-duration thresholds that may lead to shallow landslide initiation.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2015-02-15

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

  15. PtProcess: An R Package for Modelling Marked Point Processes Indexed by Time

    Directory of Open Access Journals (Sweden)

    David Harte

    2010-10-01

    Full Text Available This paper describes the package PtProcess which uses the R statistical language. The package provides a unified approach to fitting and simulating a wide variety of temporal point process or temporal marked point process models. The models are specified by an intensity function which is conditional on the history of the process. The user needs to provide routines for calculating the conditional intensity function. Then the package enables one to carry out maximum likelihood fitting, goodness of fit testing, simulation and comparison of models. The package includes the routines for the conditional intensity functions for a variety of standard point process models. The package is intended to simplify the fitting of point process models indexed by time in much the same way as generalized linear model programs have simplified the fitting of various linear models. The primary examples used in this paper are earthquake sequences but the package is intended to have a much wider applicability.

  16. The Thorny Relation Between Measurement Quality and Fit Index Cutoffs in Latent Variable Models.

    Science.gov (United States)

    McNeish, Daniel; An, Ji; Hancock, Gregory R

    2017-03-02

    Latent variable modeling is a popular and flexible statistical framework. Concomitant with fitting latent variable models is assessment of how well the theoretical model fits the observed data. Although firm cutoffs for these fit indexes are often cited, recent statistical proofs and simulations have shown that these fit indexes are highly susceptible to measurement quality. For instance, a root mean square error of approximation (RMSEA) value of 0.06 (conventionally thought to indicate good fit) can actually indicate poor fit with poor measurement quality (e.g., standardized factors loadings of around 0.40). Conversely, an RMSEA value of 0.20 (conventionally thought to indicate very poor fit) can indicate acceptable fit with very high measurement quality (standardized factor loadings around 0.90). Despite the wide-ranging effect on applications of latent variable models, the high level of technical detail involved with this phenomenon has curtailed the exposure of these important findings to empirical researchers who are employing these methods. This article briefly reviews these methodological studies in minimal technical detail and provides a demonstration to easily quantify the large influence measurement quality has on fit index values and how greatly the cutoffs would change if they were derived under an alternative level of measurement quality. Recommendations for best practice are also discussed.

  17. Visible calculation of mining index based on stope 3D surveying and block modeling

    Institute of Scientific and Technical Information of China (English)

    Liu Xiaoming; Luo Zhouquan; Yang Biao; Lu Guang; Cao Shengxiang; Jiang Xinjian

    2012-01-01

    Aimed at the CMS laser scanning theory and characteristic,a combined actual situation of stope N4-5 of Fankou Lead-Zinc Mine and complementary monitoring of the stope were carried out by carefully choosing two measuring points.The cavity 3D visible model was created by large-scale mining industry software Surpac after changing the measured data.The stope mine design model,bottom structural model and backfill model of the south and north sides of the stope N4-5 were established according to the stope design data.On this basis,the stope block model was established,and then block attribute was estimated.The amount the ore remains,mullock,backfill and total mined ore were calculated through the solid model restrains.Finally,the stope mining dilution rate and loss rate reached 8.2%and 1.47%,respectively.The practice indicates that the mining index visible calculation method based on cavity 3D monitoring and stope block modeling can make up the deficiency of adopting the solid model to directly carry out the Boolean operation.The stope mining indexes obtained by this method are accurate and reliable,and can be used to guide the actual production management and estimate the mining quality.

  18. Model of Recommendation System for for Indexing and Retrieving the Learning Object based on Multiagent System

    Directory of Open Access Journals (Sweden)

    Ronaldo Lima Rocha Campos

    2012-07-01

    Full Text Available This paper proposes a multiagent system application model for indexing, retrieving and recommendation learning objects stored in different and heterogeneous repositories. The objects within these repositories are described by filled fields using different metadata standards. The searching mechanism covers several different learning object repositories and the same object can be described in these repositories by the use of different types of fields. Aiming to improve accuracy and coverage in terms of recovering a learning object and improve the signification of the results we propose an information retrieval model based on the multiagent system approach and an ontological model to describe the knowledge domain covered.

  19. Prediction model for permeability index by integrating case-based reasoning with adaptive particle swarm optimization

    Institute of Scientific and Technical Information of China (English)

    Zhu Hongqiu; Yang Chunhua; Gui Weihua

    2009-01-01

    To effectively predict the permeability index of smelting process in the imperial smelting furnace, an intelligent prediction model is proposed. It integrates the case-based reasoning (CBR) with adaptive particle swarm optimization (PSO). The number of nearest neighbors and the weighted features vector are optimized online using the adaptive PSO to improve the prediction accuracy of CBR. The adaptive inertia weight and mutation operation are used to overcome the premature convergence of the PSO. The proposed method is validated a compared with the basic weighted CBR. The results show that the proposed model has higher prediction accuracy and better performance than the basic CBR model.

  20. Predictive model for the heat capacity of ionic liquids using the mass connectivity index

    Energy Technology Data Exchange (ETDEWEB)

    Valderrama, Jose O., E-mail: jvalderr@userena.cl [Univ. of La Serena, Fac. of Engineering, Dept. of Mech. Eng., Casilla 554, La Serena (Chile); Center for Technological Information (CIT), Casilla 724, La Serena (Chile); Martinez, Gwendolyn [Center for Technological Information (CIT), Casilla 724, La Serena (Chile); Univ. Nacional Pedro Ruiz Gallo, Fac. of Chemical Engineering, Lambayeque (Peru); Rojas, Roberto E. [Univ. of La Serena, Fac. of Sciences, Dept. of Chemistry, Casilla 554, La Serena (Chile)

    2011-01-20

    A simple and accurate model to predict the heat capacity of ionic liquids is presented. The proposed model considers variables readily available for ionic liquids and that have important effect on heat capacity, according to the literature information. Additionally a recently defined structural parameter known as mass connectivity index is incorporated into the model. A set of 602 heat capacity data for 146 ionic liquids have been used in the study. The results were compared with experimental data and with values reported by other available estimation methods. Results show that the new simple correlation gives low deviations and can be used with confidence in thermodynamic and engineering calculations.

  1. Nonlocal nonlinear refractive index of gold nanoparticles synthesized by ascorbic acid reduction: comparison of fitting models.

    Science.gov (United States)

    Balbuena Ortega, A; Arroyo Carrasco, M L; Méndez Otero, M M; Gayou, V L; Delgado Macuil, R; Martínez Gutiérrez, H; Iturbe Castillo, M D

    2014-12-12

    In this paper, the nonlinear refractive index of colloidal gold nanoparticles under continuous wave illumination is investigated with the z-scan technique. Gold nanoparticles were synthesized using ascorbic acid as reductant, phosphates as stabilizer and cetyltrimethylammonium chloride (CTAC) as surfactant agent. The nanoparticle size was controlled with the CTAC concentration. Experiments changing incident power and sample concentration were done. The experimental z-scan results were fitted with three models: thermal lens, aberrant thermal lens and the nonlocal model. It is shown that the nonlocal model reproduces with exceptionally good agreement; the obtained experimental behaviour.

  2. Synthesis of Differentially Protected myo- and chiro-Inositols from D-Xylose; Stereoselectivity in Intramolecular SmI(2)-Promoted Pinacol Reactions.

    Science.gov (United States)

    Luchetti, Giovanni; Ding, Kejia; Kornienko, Alexander; d'Alarcao, Marc

    2008-10-01

    Methods for the enantioselective conversion of D-xylose to differentially protected myo-inositol and L-chiro-inositol have been developed. The key transformation is a highly diastereoselective intramolecular SmI(2)-promoted pinacol coupling. The stereoselectivity was extremely dependent on the conditions, suggesting a change in mechanism. Preliminary mechanistic experiments and possible explanations for this behavior are discussed.

  3. Development of JPSS VIIRS Global Gridded Vegetation Index products for NOAA NCEP Environmental Modeling Systems

    Science.gov (United States)

    Vargas, Marco; Miura, Tomoaki; Csiszar, Ivan; Zheng, Weizhong; Wu, Yihua; Ek, Michael

    2017-04-01

    The first Joint Polar Satellite System (JPSS) mission, the Suomi National Polar-orbiting Partnership (S-NPP) satellite, was successfully launched in October, 2011, and it will be followed by JPSS-1, slated for launch in 2017. JPSS provides operational continuity of satellite-based observations and products for NOAA's Polar Operational Environmental Satellites (POES). Vegetation products derived from satellite measurements are used for weather forecasting, land modeling, climate research, and monitoring the environment including drought, the health of ecosystems, crop monitoring and forest fires. The operationally produced S-NPP VIIRS Vegetation Index (VI) Environmental Data Record (EDR) includes two vegetation indices: the Top of the Atmosphere (TOA) Normalized Difference Vegetation Index (NDVI), and the Top of the Canopy (TOC) Enhanced Vegetation Index (EVI). For JPSS-1, the S-NPP Vegetation Index EDR algorithm has been updated to include the TOC NDV. The current JPSS operational VI products are generated in granule style at 375 meter resolution at nadir, but these products in granule format cannot be ingested into NOAA operational monitoring and decision making systems. For that reason, the NOAA JPSS Land Team is developing a new global gridded Vegetation Index (VI) product suite for operational use by the NOAA National Centers for Environmental Prediction (NCEP). The new global gridded VIs will be used in the Multi-Physics (MP) version of the Noah land surface model (Noah-MP) in NCEP NOAA Environmental Modeling System (NEMS) for plant growth and data assimilation and to describe vegetation coverage and density in order to model the correct surface energy partition. The new VI 4km resolution global gridded products (TOA NDVI, TOC NDVI and TOC EVI) are being designed to meet the needs of directly ingesting vegetation index variables without the need to develop local gridding and compositing procedures. These VI products will be consistent with the already

  4. Application of DOI index to analysis of selected examples of resistivity imaging models in Quaternary sediments

    Directory of Open Access Journals (Sweden)

    Glazer Michał

    2014-12-01

    Full Text Available Interpretation of resistivity cross sections may be in many cases unreliable due to the presence of artifacts left by the inversion process. One way to avoid erroneous conclusions about geological structure is creation of Depth of Investigation (DOI index maps, which describe durability of prepared model with respect to variable parameters of inversion. To assess the usefulness of this interpretation methodology in resistivity imaging method over quaternary sediments, it has been used to one synthetic data set and three investigation sites. Two of the study areas were placed in the Upper Silesian Industrial District region: Bytom - Karb, Chorzów - Chorzow Stary; and one in the Southern Pomeranian Lake District across Piława River Valley. Basing on the available geological information the results show high utility of DOI index in analysis of received resistivity models, on which areas poorly constrained by data has been designated.

  5. Residential environment index system and evaluation model established by subjective and objective methods

    Institute of Scientific and Technical Information of China (English)

    GE Jian(葛坚); HOKAO Kazunori

    2004-01-01

    In this research, the residential environment index system and evaluation model were established by means of subjective and objective methods. The methodology for establishing the evaluation system for residential environment was first analyzed; then the subjective evaluation data-base was established by questionnaire survey; and at the same time, the objective evaluation data-base was constructed by Geographic Information System (GIS); and then the related equation system between subjective and objective system was developed by multiple regression analysis. This research could benefit evaluation of the residential environment quality for various purposes, and also provide important rudimentary data-base for the development and improvement of residential environment for officials. Furthermore, the index system and evaluation model established in this research could construct a strong relation between subjective evaluation and objective data; and thus could provide a comprehensive, efficient and effective methodology for the evaluation of residential environment.

  6. Science dynamics and research production indicators, indexes, statistical laws and mathematical models

    CERN Document Server

    Vitanov, Nikolay K

    2016-01-01

    This book deals with methods to evaluate scientific productivity. In the book statistical methods, deterministic and stochastic models and numerous indexes are discussed that will help the reader to understand the nonlinear science dynamics and to be able to develop or construct systems for appropriate evaluation of research productivity and management of research groups and organizations. The dynamics of science structures and systems is complex, and the evaluation of research productivity requires a combination of qualitative and quantitative methods and measures. The book has three parts. The first part is devoted to mathematical models describing the importance of science for economic growth and systems for the evaluation of research organizations of different size. The second part contains descriptions and discussions of numerous indexes for the evaluation of the productivity of researchers and groups of researchers of different size (up to the comparison of research productivities of research communiti...

  7. ANALYSIS AND MODELING OF EDUCATION PARTICIPATION INDEX (EPI IN INDONESIA FROM 2003-2008

    Directory of Open Access Journals (Sweden)

    Mustofa Usman

    2013-02-01

    Full Text Available The aims of the research is to reveal the characteristics of the Education Participation Index (EPI in Indonesia based on the level of students’ age (7-12, 13-15, 16-18, and 19-24 which shows the participation index of the citizens at Elementary School, Junior High School, Senior High School and University. The data was taken from Central Bureau Statistics of Indonesia (BPS from the year 2003 to 2008. The data is analyzed to see the difference between the level of ages at difference regions and difference years. And the data was analyzed by using analysis nested design. The second analysis is to find the EPI model for each regions and years. The modeling is used the multiple linear regression with dummy variable for the regions and years.

  8. Modeling Philippine Stock Exchange Composite Index Using Weighted Geometric Brownian Motion Forecasts

    Directory of Open Access Journals (Sweden)

    Gayo Willy

    2016-01-01

    Full Text Available Philippine Stock Exchange Composite Index (PSEi is the main stock index of the Philippine Stock Exchange (PSE. PSEi is computed using a weighted mean of the top 30 publicly traded companies in the Philippines, called component stocks. It provides a single value by which the performance of the Philippine stock market is measured. Unfortunately, these weights, which may vary for every trading day, are not disclosed by the PSE. In this paper, we propose a model of forecasting the PSEi by estimating the weights based on historical data and forecasting each component stock using Monte Carlo simulation based on a Geometric Brownian Motion (GBM assumption. The model performance is evaluated and its forecast compared is with the results using a direct GBM forecast of PSEi over different forecast periods. Results showed that the forecasts using WGBM will yield smaller error compared to direct GBM forecast of PSEi.

  9. An objective decision model of power grid environmental protection based on environmental influence index and energy-saving and emission-reducing index

    Science.gov (United States)

    Feng, Jun-shu; Jin, Yan-ming; Hao, Wei-hua

    2017-01-01

    Based on modelling the environmental influence index of power transmission and transformation project and energy-saving and emission-reducing index of source-grid-load of power system, this paper establishes an objective decision model of power grid environmental protection, with constraints of power grid environmental protection objectives being legal and economical, and considering both positive and negative influences of grid on the environmental in all-life grid cycle. This model can be used to guide the programming work of power grid environmental protection. A numerical simulation of Jiangsu province’s power grid environmental protection objective decision model has been operated, and the results shows that the maximum goal of energy-saving and emission-reducing benefits would be reached firstly as investment increasing, and then the minimum goal of environmental influence.

  10. Properties of Index Transforms in Modeling of Nanostructures and Plasmonic Systems

    Energy Technology Data Exchange (ETDEWEB)

    Passian, Ali [ORNL

    2010-01-01

    In material structures with nanometer scale curvature or dimensions electrons may be excited to oscillate in confined spaces. The consequence of such geometric confinement is of great importance in nano-optics and plasmonics. Furthermore, the geometric complexity of the probe-substrate/sample assemblies of many scanning probe microscopy experiments often pose a challenging modeling prob- lem due to the high curvature of the probe apex or sample surface protrusions and indentations. Index transforms such as Mehler-Fock and Kontorovich-Lebedev, where integration occurs over the index of the function rather than over the argument, prove useful in solving the resulting differential equations when modeling optical or electronic response of such problems. By considering the scalar potential distribution of a charged probe in presence of a dielectric substrate, we discuss certain implications and criteria of the index transform and prove the existence and the inversion theorems for the Mehler- Fock transform of the order m ∈ N 0 . The probe charged to a potential V0 , measured at the apex, is modeled, in the non-contact case, as a one-sheeted hyperboloid of revolution, and in the contact case or in the limit of a very sharp probe, as a cone. Using the Mehler-Fock integral transform in the first case, and the Fourier integral transform in the second, we discuss the necessary conditions imposed on the potential distribution on the probe surface.

  11. Properties of index transforms in modeling of nanostructures and plasmonic systems

    Science.gov (United States)

    Passian, A.; Koucheckian, S.; Yakubovich, S. B.; Thundat, T.

    2010-02-01

    In material structures with nanometer scale curvature or dimensions, electrons may be excited to oscillate in confined spaces. The consequence of such geometric confinement is of great importance in nano-optics and plasmonics. Furthermore, the geometric complexity of the probe-substrate/sample assemblies of many scanning probe microscopy experiments often poses a challenging modeling problem due to the high curvature of the probe apex or sample surface protrusions and indentations. Index transforms such as Mehler-Fock and Kontorovich-Lebedev, where integration occurs over the index of the function rather than over the argument, prove useful in solving the resulting differential equations when modeling optical or electronic response of such problems. By considering the scalar potential distribution of a charged probe in the presence of a dielectric substrate, we discuss certain implications and criteria of the index transform and prove the existence and the inversion theorems for the Mehler-Fock transform of the order m ɛN0. The probe charged to a potential V0, measured at the apex, is modeled, in the noncontact case, as a one-sheeted hyperboloid of revolution, and in the contact case or in the limit of a very sharp probe, as a cone. Using the Mehler-Fock integral transform in the first case, and the Fourier integral transform in the second, we discuss the necessary conditions imposed on the potential distribution on the probe surface.

  12. Variable selection in monotone single-index models via the adaptive LASSO.

    Science.gov (United States)

    Foster, Jared C; Taylor, Jeremy M G; Nan, Bin

    2013-09-30

    We consider the problem of variable selection for monotone single-index models. A single-index model assumes that the expectation of the outcome is an unknown function of a linear combination of covariates. Assuming monotonicity of the unknown function is often reasonable and allows for more straightforward inference. We present an adaptive LASSO penalized least squares approach to estimating the index parameter and the unknown function in these models for continuous outcome. Monotone function estimates are achieved using the pooled adjacent violators algorithm, followed by kernel regression. In the iterative estimation process, a linear approximation to the unknown function is used, therefore reducing the situation to that of linear regression and allowing for the use of standard LASSO algorithms, such as coordinate descent. Results of a simulation study indicate that the proposed methods perform well under a variety of circumstances and that an assumption of monotonicity, when appropriate, noticeably improves performance. The proposed methods are applied to data from a randomized clinical trial for the treatment of a critical illness in the intensive care unit.

  13. The Polytrope Index Revealed: Implications for Planet, Solar and Material Models

    CERN Document Server

    Weppner, S P; Thielen, K D; Zielinski, A K

    2014-01-01

    Techniques to model the interior of planets are varied. We introduce a new approach to a century old assumption which enhances not only planetary interior calculations but also solar models and high pressure material physics. Our methodology uses the polytrope assumption which was used to model main sequence and white dwarf stars by Eddington. A polytrope is a simple structural assumption between a material's pressure and volume, $PV^n = C$, where $C$ is a constant and $n$ is the polytrope index. We derive that the polytropic index is the derivative of the bulk modulus with respect to pressure. We then augment the theory by including a variable polytrope index which produces a high quality universal equation of state, within the confines of the Lane-Emden differential equation, making it a robust tool with the potential for excellent predictive power. Unlike most previous equations of state, which have pressure as the dependent variable, the theoretical foundation of our equation of state is the same elastic ...

  14. Community-wide validation of geospace model local K-index predictions to support model transition to operations

    Science.gov (United States)

    Glocer, A.; Rastätter, L.; Kuznetsova, M.; Pulkkinen, A.; Singer, H. J.; Balch, C.; Weimer, D.; Welling, D.; Wiltberger, M.; Raeder, J.; Weigel, R. S.; McCollough, J.; Wing, S.

    2016-07-01

    We present the latest result of a community-wide space weather model validation effort coordinated among the Community Coordinated Modeling Center (CCMC), NOAA Space Weather Prediction Center (SWPC), model developers, and the broader science community. Validation of geospace models is a critical activity for both building confidence in the science results produced by the models and in assessing the suitability of the models for transition to operations. Indeed, a primary motivation of this work is supporting NOAA/SWPC's effort to select a model or models to be transitioned into operations. Our validation efforts focus on the ability of the models to reproduce a regional index of geomagnetic disturbance, the local K-index. Our analysis includes six events representing a range of geomagnetic activity conditions and six geomagnetic observatories representing midlatitude and high-latitude locations. Contingency tables, skill scores, and distribution metrics are used for the quantitative analysis of model performance. We consider model performance on an event-by-event basis, aggregated over events, at specific station locations, and separated into high-latitude and midlatitude domains. A summary of results is presented in this report, and an online tool for detailed analysis is available at the CCMC.

  15. Analytical Modelling of a Refractive Index Sensor Based on an Intrinsic Micro Fabry-Perot Interferometer

    Directory of Open Access Journals (Sweden)

    Everardo Vargas-Rodriguez

    2015-10-01

    Full Text Available In this work a refractive index sensor based on a combination of the non-dispersive sensing (NDS and the Tunable Laser Spectroscopy (TLS principles is presented. Here, in order to have one reference and one measurement channel a single-beam dual-path configuration is used for implementing the NDS principle. These channels are monitored with a couple of identical optical detectors which are correlated to calculate the overall sensor response, called here the depth of modulation. It is shown that this is useful to minimize drifting errors due to source power variations. Furthermore, a comprehensive analysis of a refractive index sensing setup, based on an intrinsic micro Fabry-Perot Interferometer (FPI is described. Here, the changes over the FPI pattern as the exit refractive index is varied are analytically modelled by using the characteristic matrix method. Additionally, our simulated results are supported by experimental measurements which are also provided. Finally it is shown that by using this principle a simple refractive index sensor with a resolution in the order of 2.15 × 10−4 RIU can be implemented by using a couple of standard and low cost photodetectors.

  16. Analytical modelling of a refractive index sensor based on an intrinsic micro Fabry-Perot interferometer.

    Science.gov (United States)

    Vargas-Rodriguez, Everardo; Guzman-Chavez, Ana D; Cano-Contreras, Martin; Gallegos-Arellano, Eloisa; Jauregui-Vazquez, Daniel; Hernández-García, Juan C; Estudillo-Ayala, Julian M; Rojas-Laguna, Roberto

    2015-10-15

    In this work a refractive index sensor based on a combination of the non-dispersive sensing (NDS) and the Tunable Laser Spectroscopy (TLS) principles is presented. Here, in order to have one reference and one measurement channel a single-beam dual-path configuration is used for implementing the NDS principle. These channels are monitored with a couple of identical optical detectors which are correlated to calculate the overall sensor response, called here the depth of modulation. It is shown that this is useful to minimize drifting errors due to source power variations. Furthermore, a comprehensive analysis of a refractive index sensing setup, based on an intrinsic micro Fabry-Perot Interferometer (FPI) is described. Here, the changes over the FPI pattern as the exit refractive index is varied are analytically modelled by using the characteristic matrix method. Additionally, our simulated results are supported by experimental measurements which are also provided. Finally it is shown that by using this principle a simple refractive index sensor with a resolution in the order of 2.15 × 10(-4) RIU can be implemented by using a couple of standard and low cost photodetectors.

  17. Modeling Travel Time Reliability of Road Network Considering Connected Vehicle Guidance Characteristics Indexes

    Directory of Open Access Journals (Sweden)

    Jiangfeng Wang

    2017-01-01

    Full Text Available Travel time reliability (TTR is one of the important indexes for effectively evaluating the performance of road network, and TTR can effectively be improved using the real-time traffic guidance information. Compared with traditional traffic guidance, connected vehicle (CV guidance can provide travelers with more timely and accurate travel information, which can further improve the travel efficiency of road network. Five CV characteristics indexes are selected as explanatory variables including the Congestion Level (CL, Penetration Rate (PR, Compliance Rate (CR, release Delay Time (DT, and Following Rate (FR. Based on the five explanatory variables, a TTR model is proposed using the multilogistic regression method, and the prediction accuracy and the impact of characteristics indexes on TTR are analyzed using a CV guidance scenario. The simulation results indicate that 80% of the RMSE is concentrated within the interval of 0 to 0.0412. The correlation analysis of characteristics indexes shows that the influence of CL, PR, CR, and DT on the TTR is significant. PR and CR have a positive effect on TTR, and the average improvement rate is about 77.03% and 73.20% with the increase of PR and CR, respectively, while CL and DT have a negative effect on TTR, and TTR decreases by 31.21% with the increase of DT from 0 to 180 s.

  18. Comparison of the prevalence of sarcopenia using skeletal muscle mass index and calf circumference applying the European consensus definition in elderly Mexican women.

    Science.gov (United States)

    Velazquez-Alva, Maria Consuelo; Irigoyen Camacho, Maria Esther; Lazarevich, Irina; Delgadillo Velazquez, Jaime; Acosta Dominguez, Patricia; Zepeda Zepeda, Marco A

    2017-01-01

    To compare the prevalence of sarcopenia using two indicators: skeletal muscle mass index (SMI) and calf circumference (CC) used in the algorithm proposed by the European Working Group on Sarcopenia in Mexican elderly women. This was a cross-sectional study. Lean body mass was determined by dual-energy X-ray absorptiometry. To define sarcopenia, the SMI was obtained using a cut-off value of 5.5 kg/m(2) , and the CC cut-off was 31 cm. For gait speed and handgrip strength, the cut-off values were 0.8 m/s and 20 kg, respectively. A total of 137 women (mean age 73.8 ± 6.7 years) participated in the study. The prevalence of sarcopenia was 14.6% using SMI and 11.0% using CC (P = 0.009). Body mass index was associated with a lower probability of sarcopenia applying SMI or CC (OR 0.75, P = 0.002 for SMI and OR 0.71, P = 0.004 for CC). Sarcopenia evaluated either with dual-energy X-ray absorptiometry or CC was not associated with physical performance, such as five times chair stand test, timed up and go test and short physical performance battery. Additionally, SMI was not associated with physical performance, five times chair stand test (P = 0.775) and timed up-and-go test (P = 0.341). The prevalence of sarcopenia in active elderly women was low. A higher prevalence of sarcopenia was detected using SMI compared with CC. It is important to identify the best methods to assess skeletal muscle mass to obtain a reliable diagnosis of sarcopenia. Geriatr Gerontol Int 2017; 17: 161-170. © 2015 Japan Geriatrics Society.

  19. Management Index Systems and Energy Efficiency Diagnosis Model for Power Plant: Cases in China

    Directory of Open Access Journals (Sweden)

    Jing-Min Wang

    2016-01-01

    Full Text Available In recent years, the energy efficiency of thermal power plant largely contributes to that of the industry. A thorough understanding of influencing factors, as well as the establishment of scientific and comprehensive diagnosis model, plays a key role in the operational efficiency and competitiveness for the thermal power plant. Referring to domestic and abroad researches towards energy efficiency management, based on Cloud model and data envelopment analysis (DEA model, a qualitative and quantitative index system and a comprehensive diagnostic model (CDM are construed. To testify rationality and usability of CDM, case studies of large-scaled Chinese thermal power plants have been conducted. In this case, CDM excavates such qualitative factors as technology, management, and so forth. The results shows that, compared with conventional model, which only considered production running parameters, the CDM bears better adaption to reality. It can provide entities with efficient instruments for energy efficiency diagnosis.

  20. Numerical Modeling of Limiting Oxygen Index Apparatus for Film Type Fuels

    Directory of Open Access Journals (Sweden)

    Amit Kumar

    2012-12-01

    Full Text Available A detailed three-dimensional numerical model is used to compute the flow pattern and the flame behavior of thin solid fuels in a rectangular column that resembles a standard Limiting Oxygen Index (LOI device. The model includes full Navier-Stokes equations for mixed buoyant-forced flow and finite rate combustion and pyrolysis reactions so that the sample LOI can be computed to study the effect of feeding flow rate, sample width and gravity levels. In addition to the above parameters, the sample location in the column and the column cross-sectional area are also investigated on their effect on the ambient air entrainment from the top.

  1. Daily air quality index forecasting with hybrid models: A case in China.

    Science.gov (United States)

    Zhu, Suling; Lian, Xiuyuan; Liu, Haixia; Hu, Jianming; Wang, Yuanyuan; Che, Jinxing

    2017-09-19

    Air quality is closely related to quality of life. Air pollution forecasting plays a vital role in air pollution warnings and controlling. However, it is difficult to attain accurate forecasts for air pollution indexes because the original data are non-stationary and chaotic. The existing forecasting methods, such as multiple linear models, autoregressive integrated moving average (ARIMA) and support vector regression (SVR), cannot fully capture the information from series of pollution indexes. Therefore, new effective techniques need to be proposed to forecast air pollution indexes. The main purpose of this research is to develop effective forecasting models for regional air quality indexes (AQI) to address the problems above and enhance forecasting accuracy. Therefore, two hybrid models (EMD-SVR-Hybrid and EMD-IMFs-Hybrid) are proposed to forecast AQI data. The main steps of the EMD-SVR-Hybrid model are as follows: the data preprocessing technique EMD (empirical mode decomposition) is utilized to sift the original AQI data to obtain one group of smoother IMFs (intrinsic mode functions) and a noise series, where the IMFs contain the important information (level, fluctuations and others) from the original AQI series. LS-SVR is applied to forecast the sum of the IMFs, and then, S-ARIMA (seasonal ARIMA) is employed to forecast the residual sequence of LS-SVR. In addition, EMD-IMFs-Hybrid first separately forecasts the IMFs via statistical models and sums the forecasting results of the IMFs as EMD-IMFs. Then, S-ARIMA is employed to forecast the residuals of EMD-IMFs. To certify the proposed hybrid model, AQI data from June 2014 to August 2015 collected from Xingtai in China are utilized as a test case to investigate the empirical research. In terms of some of the forecasting assessment measures, the AQI forecasting results of Xingtai show that the two proposed hybrid models are superior to ARIMA, SVR, GRNN, EMD-GRNN, Wavelet-GRNN and Wavelet-SVR. Therefore, the

  2. The Practicability of a Novel Prognostic Index (PI Model and Comparison with Nottingham Prognostic Index (NPI in Stage I-III Breast Cancer Patients Undergoing Surgical Treatment.

    Directory of Open Access Journals (Sweden)

    Jiahuai Wen

    Full Text Available Previous studies have indicated the prognostic value of various laboratory parameters in cancer patients. This study was to establish a prognostic index (PI model for breast cancer patients based on the potential prognostic factors.A retrospective study of 1661 breast cancer patients who underwent surgical treatment between January 2002 and December 2008 at Sun Yat-sen University Cancer Center was conducted. Multivariate analysis (Cox regression model was performed to determine the independent prognostic factors and a prognostic index (PI model was devised based on these factors. Survival analyses were used to estimate the prognostic value of PI, and the discriminatory ability of PI was compared with Nottingham Prognostic Index (NPI by evaluating the area under the receiver operating characteristics curves (AUC.The mean survival time of all participants was 123.6 months. The preoperative globulin >30.0g/L, triglyceride >1.10mmol/L and fibrinogen >2.83g/L were identified as risk factors for shorter cancer-specific survival. The novel prognostic index model was established and enrolled patients were classified as low- (1168 patients, 70.3%, moderate- (410 patients, 24.7% and high-risk groups (83 patients, 5.0%, respectively. Compared with the low-risk group, higher risks of poor clinical outcome were indicated in the moderate-risk group [Hazard ratio (HR: 1.513, 95% confidence interval (CI: 1.169-1.959, p = 0.002] and high-risk group (HR: 2.481, 95%CI: 1.653-3.724, p< 0.001.The prognostic index based on three laboratory parameters was a novel and practicable prognostic tool. It may serve as complement to help predict postoperative survival in breast cancer patients.

  3. Normality Index of Ventricular Contraction Based on a Statistical Model from FADS

    Science.gov (United States)

    Jiménez-Ángeles, Luis; Valdés-Cristerna, Raquel; Vallejo, Enrique; Bialostozky, David; Medina-Bañuelos, Verónica

    2013-01-01

    Radionuclide-based imaging is an alternative to evaluate ventricular function and synchrony and may be used as a tool for the identification of patients that could benefit from cardiac resynchronization therapy (CRT). In a previous work, we used Factor Analysis of Dynamic Structures (FADS) to analyze the contribution and spatial distribution of the 3 most significant factors (3-MSF) present in a dynamic series of equilibrium radionuclide angiography images. In this work, a probability density function model of the 3-MSF extracted from FADS for a control group is presented; also an index, based on the likelihood between the control group's contraction model and a sample of normal subjects is proposed. This normality index was compared with those computed for two cardiopathic populations, satisfying the clinical criteria to be considered as candidates for a CRT. The proposed normality index provides a measure, consistent with the phase analysis currently used in clinical environment, sensitive enough to show contraction differences between normal and abnormal groups, which suggests that it can be related to the degree of severity in the ventricular contraction dyssynchrony, and therefore shows promise as a follow-up procedure for patients under CRT. PMID:23634177

  4. Modeling and Computing of Stock Index Forecasting Based on Neural Network and Markov Chain

    Directory of Open Access Journals (Sweden)

    Yonghui Dai

    2014-01-01

    Full Text Available The stock index reflects the fluctuation of the stock market. For a long time, there have been a lot of researches on the forecast of stock index. However, the traditional method is limited to achieving an ideal precision in the dynamic market due to the influences of many factors such as the economic situation, policy changes, and emergency events. Therefore, the approach based on adaptive modeling and conditional probability transfer causes the new attention of researchers. This paper presents a new forecast method by the combination of improved back-propagation (BP neural network and Markov chain, as well as its modeling and computing technology. This method includes initial forecasting by improved BP neural network, division of Markov state region, computing of the state transition probability matrix, and the prediction adjustment. Results of the empirical study show that this method can achieve high accuracy in the stock index prediction, and it could provide a good reference for the investment in stock market.

  5. Normality Index of Ventricular Contraction Based on a Statistical Model from FADS

    Directory of Open Access Journals (Sweden)

    Luis Jiménez-Ángeles

    2013-01-01

    Full Text Available Radionuclide-based imaging is an alternative to evaluate ventricular function and synchrony and may be used as a tool for the identification of patients that could benefit from cardiac resynchronization therapy (CRT. In a previous work, we used Factor Analysis of Dynamic Structures (FADS to analyze the contribution and spatial distribution of the 3 most significant factors (3-MSF present in a dynamic series of equilibrium radionuclide angiography images. In this work, a probability density function model of the 3-MSF extracted from FADS for a control group is presented; also an index, based on the likelihood between the control group's contraction model and a sample of normal subjects is proposed. This normality index was compared with those computed for two cardiopathic populations, satisfying the clinical criteria to be considered as candidates for a CRT. The proposed normality index provides a measure, consistent with the phase analysis currently used in clinical environment, sensitive enough to show contraction differences between normal and abnormal groups, which suggests that it can be related to the degree of severity in the ventricular contraction dyssynchrony, and therefore shows promise as a follow-up procedure for patients under CRT.

  6. A focus area maturity model for a statewide master person index.

    Science.gov (United States)

    Duncan, Jeffrey; Xu, Wu; Narus, Scott P; Clyde, Stephen; Nangle, Barry; Thornton, Sid; Facelli, Julio

    2013-01-01

    The sharing of personally identifiable information across organizational boundaries to facilitate patient identification in Utah presents significant policy challenges. Our objective was to create a focus area maturity model to describe and evaluate our progress in developing a policy framework to support a statewide master person index (sMPI) for healthcare and public health operations and research in Utah. We used various artifacts, including minutes from policy guidance committee meetings over a span of 18 months, a report from Utah's Digital Health Services Commission, and a draft technical requirements document to retrospectively analyze our work and create a focus area maturity model describing the domain of policy needed to support the sMPI. We then used our model to assess our progress and future goals. The focus area maturity model provides an orderly path that can guide the complex process of developing a functional statewide master person index among diverse, autonomous partners. While this paper focuses on our experience in Utah, we believe that the arguments for using a focus area maturity model to guide the development of state or regional MPIs is of general interest.

  7. Developing an index model for flood risk assessment in the western coastal region of Mazandaran, Iran

    Directory of Open Access Journals (Sweden)

    Sadeghi-Pouya Alireza

    2017-06-01

    Full Text Available This paper represents an index model developed for the assessment of risk caused by river floods. The main purpose of this model is to evaluate the flood risk in the western coastal region of Mazandaran Province/Iran. The model assesses the risk at triple components, i.e. the flood occurrence probability, vulnerability and consequences, through identification and evaluation of effective criteria categorized into seven indexes (environmental, technical, economic, social, depth, population and sensitivity ones that are involved in all stages of flooding (source, pathway and receptor. The flood risk in the developed model is defined by a dimensionless magnitude called as risk score between 0 and 100 for each zone of the area under assessment by calculating and combining of two newly defined factors: occurrence and vulnerability factor and impact factor. The model was applied in a case study, the Nowshahr flood in 2012. The results showed that: (i the flood risk zoning was compared with observed data for aspect of the damages, and general agreement between them was obtained; (ii for urban zones, which surrounded by two rivers, would easily be in critical condition and rescue operations face difficulties; and (iii it is necessary to review the location of the emergency services, according the flood risk zoning.

  8. A cellular automata-based model of Earth's magnetosphere in relation with Dst index

    Science.gov (United States)

    Banerjee, Adrija; Bej, Amaresh; Chatterjee, T. N.

    2015-05-01

    The disturbance storm time (Dst) index, a measure of the strength of a geomagnetic storm, is difficult to predict by some conventional methods due to its abstract structural complexity and stochastic nature though a timely geomagnetic storm warning could save society from huge economic losses and hours of related hazards. Self-organized criticality and the concept of many-body interactive nonlinear system can be considered an explanation for the fundamental mechanism of the nonstationary geomagnetic disturbances controlled by the perturbed interplanetary conditions. The present paper approaches this natural phenomena by a sandpile-like cellular automata-based model of magnetosphere, taking the real-time solar wind and both the direction and magnitude of the BZ component of the real-time interplanetary magnetic field as the system-controlling input parameters. Moreover, three new parameters had been introduced in the model which modify the functional relationships between the variables and regulate the dynamical behavior of the model to closely approximate the actual geomagnetic fluctuations. The statistical similarities between the dynamics of the model and that of the actual Dst index series during the entire 22nd solar cycle signifies the acceptability of the model.

  9. A Focus Area Maturity Model for a Statewide Master Person Index

    Science.gov (United States)

    Duncan, Jeffrey; Xu, Wu; Narus, Scott P.; Clyde, Stephen; Nangle, Barry; Thornton, Sid; Facelli, Julio

    2013-01-01

    Objective: The sharing of personally identifiable information across organizational boundaries to facilitate patient identification in Utah presents significant policy challenges. Our objective was to create a focus area maturity model to describe and evaluate our progress in developing a policy framework to support a statewide master person index (sMPI) for healthcare and public health operations and research in Utah. Materials and Methods: We used various artifacts, including minutes from policy guidance committee meetings over a span of 18 months, a report from Utah’s Digital Health Services Commission, and a draft technical requirements document to retrospectively analyze our work and create a focus area maturity model describing the domain of policy needed to support the sMPI. We then used our model to assess our progress and future goals. Conclusions: The focus area maturity model provides an orderly path that can guide the complex process of developing a functional statewide master person index among diverse, autonomous partners. While this paper focuses on our experience in Utah, we believe that the arguments for using a focus area maturity model to guide the development of state or regional MPIs is of general interest. PMID:23923093

  10. Utilizing Conceptual Indexing to Enhance the Effectiveness of Vector Space Model

    Directory of Open Access Journals (Sweden)

    Aya M. Al-Zoghby

    2013-10-01

    Full Text Available One of the main purposes of the semantic Web is to improve the retrieval performance of search systems. Unlike keyword based search systems, the semantic search systems aim to discover pages related to the query's concepts rather than merely collecting all pages instantiating its keywords. To that end, the concepts must be defined to be used as a semantic index instead of the traditional lexical one. In fact, The Arabic language is still far from being semantically searchable. Therefore, this paper proposed a model that exploits the Universal Word Net ontology for producing an Arabic Concepts-Space to be used as the index of Semantic Vector Space Model. The Vector Space Model is one of the most common information retrieval models due to its capability of expressing the documents' structure. However, like all keyword-based search systems, its sensitivity to the query's keywords reduces its retrieval effectiveness. The proposed model allows the VSM to represent Arabic documents by their topic, and thus classify them semantically. This, consequently, enhances the retrieval effectiveness of the search system.

  11. Modifying Geometric-Optical Bidirectional Reflectance Model for Direct Inversion of Forest Canopy Leaf Area Index

    Directory of Open Access Journals (Sweden)

    Congrong Li

    2015-08-01

    Full Text Available Forest canopy leaf area index (LAI inversion based on remote sensing data is an important method to obtain LAI. Currently, the most widely-used model to achieve forest canopy structure parameters is the Li-Strahler geometric-optical bidirectional reflectance model, by considering the effect of crown shape and mutual shadowing, which is referred to as the GOMS model. However, it is difficult to retrieve LAI through the GOMS model directly because LAI is not a fundamental parameter of the model. In this study, a gap probability model was used to obtain the relationship between the canopy structure parameter nR2 and LAI. Thus, LAI was introduced into the GOMS model as an independent variable by replacing nR2 The modified GOMS (MGOMS model was validated by application to Dayekou in the Heihe River Basin of China. The LAI retrieved using the MGOMS model with optical multi-angle remote sensing data, high spatial resolution images and field-measured data was in good agreement with the field-measured LAI, with an R-square (R2 of 0.64, and an RMSE of 0.67. The results demonstrate that the MGOMS model obtained by replacing the canopy structure parameter nR2 of the GOMS model with LAI can be used to invert LAI directly and precisely.

  12. Binomial Markov-Switching Multifractal model with Skewed t innovations and applications to Chinese SSEC Index

    Science.gov (United States)

    Liu, Yufang; Zhang, Weiguo; Fu, Junhui

    2016-11-01

    This paper presents the Binomial Markov-switching Multifractal (BMSM) model of asset returns with Skewed t innovations (BMSM-Skewed t for short), which considers the fat tails, skewness and multifractality in asset returns simultaneously. The parameters of BMSM-Skewed t model can be estimated by Maximum Likelihood (ML) methods, and volatility forecasting can be accomplished via Bayesian updating. In order to evaluate the performance of BMSM-Skewed t model, BMSM model with Normal innovations (BMSM-N), BMSM model with Student-t innovations (BMSM-t) and GARCH(1,1) models (GARCH-N, GARCH-t and GARCH-Skewed t) are chosen for comparison. Through empirical studies on Shanghai Stock Exchange Composite Index (SSEC), we find that for sample estimation, BMSM models outperform the GARCH(1,1) models through BIC and AIC rules, and BMSM-Skewed t performs the best among all the models due to its fat tails, skewness and multifractality. In addition, BMSM-Skewed t model dominates other models at most forecasting horizons for out-of-sample volatility forecasts in terms of MSE, MAE and SPA test.

  13. ISLAMIC SOCIAL REPORTING INDEX SEBAGAI MODEL PENGUKURAN KINERJA SOSIAL PERBANKAN SYARIAH (STUDI KOMPARASI INDONESIA DAN MALAYSIA

    Directory of Open Access Journals (Sweden)

    Hafiez Sofyani

    2012-03-01

    Full Text Available Tujuan dari penelitian ini adalah untuk membandingkan kinerja sosial perbankan Islam di Indonesia  dan Malaysia dengan menggunakan model Islamic Social Reporting Index (ISR Index. Objek penelitian ini adalah tiga bank Islam baik di Indonesia dan Malaysia. Content analysis digunakan untuk menganalisis data. Hasil yang diharapkan dari penelitian ini adalah memberi kontribusi kepada praktek bisnis perbankan Islam yang terkait dengan tanggung jawab sosial yang mereka jalankan, dan berkontribusi  pada input pengetahuan baik sebagai bahan komparasi dan replikasi untuk melakukan studi lebih lanjut terkait dengan Model Indeks ISR dalam menilai kinerja sosial perbankan Islam. Hasil penelitian menunjukkan bahwa secara keseluruhan kinerja sosial train-average perbankan Islam di Malaysia lebih tinggi daripada di Indonesia. Kinerja sosial perbankan Islam di Indonesia pada 2010 mengalami peningkatan yang signifikan, sekitar 10% dari tahun sebelumnya (2009. Sementara  kinerja sosial pada perbankan Islam di Malaysia adalah stabil karena tidak meningkat ataupun menurun. Namun, dari semua bank-bank Islam, baik Indonesia dan Malaysia, tidak ada satupun yang mencapai tingkat kinerja sangat bagus. The aim of this study is to compare the social performance of Islamic banking in Indonesia and in Malaysia by using a model of Islamic Social Reporting Index (ISR Index. The objects of study are three Islamic banks both in Indonesia and Malaysia. Content analysis is used to analyze the data. The expected results of study are they can give contribution to the business practice of Islamic banking which relates to their social responsibility activities, to further study in terms of providing inputs of knowledge as a comparison and replication materials to conduct further study relates to the model ISR Index in assessing the social performance of  Islamic banking. The results of this study indicate that the train-average overall social performance of Islamic

  14. Research on the Hedging of CSI300 Stock Index Future Based on VaR and CVaR Model

    Directory of Open Access Journals (Sweden)

    Xu Zijian

    2015-01-01

    Full Text Available Hedging function is one of the most significant functions of stock index futures, and it received extensive public attention. This article set VaR and CVaR as hedging objective function of the hedging model in China and proposed the hedging effect measurement method based on VaR and CVaR. It also used the actual data of CSI300 stock index future to calculate its hedging effect. It is found from the result that the hedging model of stock index future based on VaR and CVaR can effectively reduce the risk of portfolio, and a relatively good accumulated income rate will be obtained. By comparison, the hedging model of stock index future based on CVaR will do better in controlling the risk of portfolio, while the hedging model of stock index future based on VaR will obtain a better accumulated income rate.

  15. Fuzzy logic model to describe anesthetic effect and muscular influence on EEG Cerebral State Index.

    Science.gov (United States)

    Brás, S; Gouveia, S; Ribeiro, L; Ferreira, D A; Antunes, L; Nunes, C S

    2013-06-01

    The well-known Cerebral State Index (CSI) quantifies depth of anesthesia and is traditionally modeled with Hill equation and propofol effect-site concentration (Ce). This work brings out two novelties: introduction of electromyogram (EMG) and use of fuzzy logic models with ANFIS optimized parameters. The data were collected from dogs (n=27) during routine surgery considering two propofol administration protocols: constant infusion (G1, n=14) and bolus (G2, n=13). The median modeling error of the fuzzy logic model with Ce and EMG was lower or similar than that of the Hill with Ce (p=0.012-G1, p=0.522-G2). Furthermore, there was no significant performance impact due to model structure alteration (p=0.288-G1, p=0.330-G2) and EMG introduction increased or maintained the performance (p=0.036-G1, p=0.798-G2). Therefore, the new model can achieve higher performance than Hill model, mostly due to EMG information and not due to changes in the model structure. In conclusion, the fuzzy models adequately describe CSI data with advantages over traditional Hill models.

  16. Scalability of the muscular action in a parametric 3D model of the index finger.

    Science.gov (United States)

    Sancho-Bru, Joaquín L; Vergara, Margarita; Rodríguez-Cervantes, Pablo-Jesús; Giurintano, David J; Pérez-González, Antonio

    2008-01-01

    A method for scaling the muscle action is proposed and used to achieve a 3D inverse dynamic model of the human finger with all its components scalable. This method is based on scaling the physiological cross-sectional area (PCSA) in a Hill muscle model. Different anthropometric parameters and maximal grip force data have been measured and their correlations have been analyzed and used for scaling the PCSA of each muscle. A linear relationship between the normalized PCSA and the product of the length and breadth of the hand has been finally used for scaling, with a slope of 0.01315 cm(-2), with the length and breadth of the hand expressed in centimeters. The parametric muscle model has been included in a parametric finger model previously developed by the authors, and it has been validated reproducing the results of an experiment in which subjects from different population groups exerted maximal voluntary forces with their index finger in a controlled posture.

  17. CONCEPTUAL MODEL OF FINANCIAL INDEXES FOR INFORMATIVE SYSTEM IN NAPS OF UKRAINE

    Directory of Open Access Journals (Sweden)

    Alla V. Kilchenko

    2011-10-01

    Full Text Available The actual task of modern information society forming is a construction and introduction of the information systems in educational management. The article contains the analysis of subject domain of the informative system in the National Academy of Pedagogical Sciences of Ukraine, description of financial documents and facilities for automations of their treatment in the integrated environment of Windows SharePoint Services – Microsoft Word. The conceptual model of information is presented, it is shown, as on its basis facilities of automation of work are built with financial documents. The CRT forms of document life cycle are resulted in the information system: conceptual model of information, logical model of data, physical model of data, template, a document, eventual document with the automatic filling of indexes of financial documents.

  18. Regional drought assessment using a distributed hydrological model coupled with Standardized Runoff Index

    Science.gov (United States)

    Shen, H.; Yuan, F.; Ren, L.; Ma, M.; Kong, H.; Tong, R.

    2015-05-01

    Drought assessment is essential for coping with frequent droughts nowadays. Owing to the large spatio-temporal variations in hydrometeorology in most regions in China, it is very necessary to use a physically-based hydrological model to produce rational spatial and temporal distributions of hydro-meteorological variables for drought assessment. In this study, the large-scale distributed hydrological model Variable Infiltration Capacity (VIC) was coupled with a modified standardized runoff index (SRI) for drought assessment in the Weihe River basin, northwest China. The result indicates that the coupled model is capable of reasonably reproducing the spatial distribution of drought occurrence. It reflected the spatial heterogeneity of regional drought and improved the physical mechanism of SRI. This model also has potential for drought forecasting, early warning and mitigation, given that accurate meteorological forcing data are available.

  19. A study on adaptive sidelobe interference suppression algorithm based on SMI-LMS%基于SMI—LMS的自适应旁瓣干扰抑制算法研究

    Institute of Scientific and Technical Information of China (English)

    何永华; 贾鑫; 高阳

    2011-01-01

    提出基于SMI—LMS的自适应旁瓣干扰抑制算法,即利用采样矩阵求逆(SMI)算法计算初始权值,并以此作为LMS算法的初值。通过比较分析LS-LMS和SMI—LMS的方向图增益和运算量,并运用对角加载技术对SMI-LMS算法作出改进,验证了SMI-LMS算法的优势。仿真实验表明,SMI-LMS算法具有快的收敛速度和低的算法复杂度,在低快拍下有着好的性能。%A new adaptive sidelobe interference suppression forward. Sample Matrix Inversion (SMI) algorithm calculates algorithm. Through comparing the adaptive beam sidelobes and algorithm based on SMI-LMS is put weight vector as initial value for LMS calculating quantity of two algorithms (SMI-LMS and LS-LMS), and improving the SMI-LMS algorithm by loading method, the SMI-LMS algorithm's advantage is approved. Regardless of the interference environments, this algorithm converges to the optimal value with a faster converge speed, and has good performance in low-snapshot data.

  20. Neurochemical organization of the human basal ganglia: anatomofunctional territories defined by the distributions of calcium-binding proteins and SMI-32.

    Science.gov (United States)

    Morel, Anne; Loup, Fabienne; Magnin, Michel; Jeanmonod, Daniel

    2002-01-28

    The distribution of the calcium-binding proteins calbindin-D28K (CB), parvalbumin (PV) and calretinin (CR), and of the nonphosphorylated neurofilament protein (with SMI-32) was investigated in the human basal ganglia to identify anatomofunctional territories. In the striatum, gradients of neuropil immunostaining define four major territories: The first (T1) includes all but the rostroventral half of the putamen and is characterized by enhanced matriceal PV and SMI-32 immunoreactivity (-ir). The second territory (T2) encompasses most part of the caudate nucleus (Cd) and rostral putamen (PuT), which show enhanced matriceal CB-ir. The third and fourth territories (T3 and T4) comprise rostroventral parts of Cd and PuT characterized by complementary patch/matrix distributions of CB- and CR-ir, and the accumbens nucleus (Acb), respectively. The latter is separated into lateral (prominently enhanced in CB-ir) and medial (prominently enhanced in CR-ir) subdivisions. In the pallidum, parallel gradients also delimit four territories, T1 in the caudal half of external (GPe) and internal (GPi) divisions, characterized by enhanced PV- and SMI-32-ir; T2 in their rostral half, characterized by enhanced CB-ir; and T3 and T4 in their rostroventral pole and in the subpallidal area, respectively, both expressing CB- and CR-ir but with different intensities. The subthalamic nucleus (STh) shows contrasting patterns of dense PV-ir (sparing only the most medial part) and low CB-ir. Expression of CR-ir is relatively low, except in the medial, low PV-ir, part of the nucleus, whereas SMI-32-ir is moderate across the whole nucleus. The substantia nigra is characterized by complementary patterns of high neuropil CB- and SMI-32-ir in pars reticulata (SNr) and high CR-ir in pars compacta (SNc) and in the ventral tegmental area (VTA). The compartmentalization of calcium-binding proteins and SMI-32 in the human basal ganglia, in particular in the striatum and pallidum, delimits anatomofunctional

  1. An enhanced temperature index model for debris-covered glaciers accounting for thickness effect.

    Science.gov (United States)

    Carenzo, M; Pellicciotti, F; Mabillard, J; Reid, T; Brock, B W

    2016-08-01

    Debris-covered glaciers are increasingly studied because it is assumed that debris cover extent and thickness could increase in a warming climate, with more regular rockfalls from the surrounding slopes and more englacial melt-out material. Debris energy-balance models have been developed to account for the melt rate enhancement/reduction due to a thin/thick debris layer, respectively. However, such models require a large amount of input data that are not often available, especially in remote mountain areas such as the Himalaya, and can be difficult to extrapolate. Due to their lower data requirements, empirical models have been used extensively in clean glacier melt modelling. For debris-covered glaciers, however, they generally simplify the debris effect by using a single melt-reduction factor which does not account for the influence of varying debris thickness on melt and prescribe a constant reduction for the entire melt across a glacier. In this paper, we present a new temperature-index model that accounts for debris thickness in the computation of melt rates at the debris-ice interface. The model empirical parameters are optimized at the point scale for varying debris thicknesses against melt rates simulated by a physically-based debris energy balance model. The latter is validated against ablation stake readings and surface temperature measurements. Each parameter is then related to a plausible set of debris thickness values to provide a general and transferable parameterization. We develop the model on Miage Glacier, Italy, and then test its transferability on Haut Glacier d'Arolla, Switzerland. The performance of the new debris temperature-index (DETI) model in simulating the glacier melt rate at the point scale is comparable to the one of the physically based approach, and the definition of model parameters as a function of debris thickness allows the simulation of the nonlinear relationship of melt rate to debris thickness, summarised by the

  2. An enhanced temperature index model for debris-covered glaciers accounting for thickness effect

    Science.gov (United States)

    Carenzo, M.; Pellicciotti, F.; Mabillard, J.; Reid, T.; Brock, B. W.

    2016-08-01

    Debris-covered glaciers are increasingly studied because it is assumed that debris cover extent and thickness could increase in a warming climate, with more regular rockfalls from the surrounding slopes and more englacial melt-out material. Debris energy-balance models have been developed to account for the melt rate enhancement/reduction due to a thin/thick debris layer, respectively. However, such models require a large amount of input data that are not often available, especially in remote mountain areas such as the Himalaya, and can be difficult to extrapolate. Due to their lower data requirements, empirical models have been used extensively in clean glacier melt modelling. For debris-covered glaciers, however, they generally simplify the debris effect by using a single melt-reduction factor which does not account for the influence of varying debris thickness on melt and prescribe a constant reduction for the entire melt across a glacier. In this paper, we present a new temperature-index model that accounts for debris thickness in the computation of melt rates at the debris-ice interface. The model empirical parameters are optimized at the point scale for varying debris thicknesses against melt rates simulated by a physically-based debris energy balance model. The latter is validated against ablation stake readings and surface temperature measurements. Each parameter is then related to a plausible set of debris thickness values to provide a general and transferable parameterization. We develop the model on Miage Glacier, Italy, and then test its transferability on Haut Glacier d'Arolla, Switzerland. The performance of the new debris temperature-index (DETI) model in simulating the glacier melt rate at the point scale is comparable to the one of the physically based approach, and the definition of model parameters as a function of debris thickness allows the simulation of the nonlinear relationship of melt rate to debris thickness, summarised by the

  3. Prediction Model of the Stock Market Index Using Twitter Sentiment Analysis

    Directory of Open Access Journals (Sweden)

    Anthony R. Caliñgo

    2016-10-01

    Full Text Available Stock market prediction has been an interesting research topic for many years. Finding an efficient and effective means of predicting the stock market found its way in different social networking platforms such as Twitter. Studies have shown that public moods and sentiments can affect one’s opinion. This study explored the tweets of the Filipino public and its possible effects on the movement of the closing Index of the Philippine Stock Exchange. Sentiment Analysis was used in processing individual tweets and determining its polarity - either positive or negative. Tweets were given a positive and negative probability scores depending on the features that matched the trained classifier. Granger causality testing identified whether or not the past values of the Twitter time series were useful in predicting the future price of the PSE Index. Two prediction models were created based on the p-values and regression algorithms. The results suggested that the tweets collected using geo location and local news sources proved to be causative of the future values of the Philippine Stock Exchange closing Index.

  4. A Neural Network Architecture For Rapid Model Indexing In Computer Vision Systems

    Science.gov (United States)

    Pawlicki, Ted

    1988-03-01

    Models of objects stored in memory have been shown to be useful for guiding the processing of computer vision systems. A major consideration in such systems, however, is how stored models are initially accessed and indexed by the system. As the number of stored models increases, the time required to search memory for the correct model becomes high. Parallel distributed, connectionist, neural networks' have been shown to have appealing content addressable memory properties. This paper discusses an architecture for efficient storage and reference of model memories stored as stable patterns of activity in a parallel, distributed, connectionist, neural network. The emergent properties of content addressability and resistance to noise are exploited to perform indexing of the appropriate object centered model from image centered primitives. The system consists of three network modules each of which represent information relative to a different frame of reference. The model memory network is a large state space vector where fields in the vector correspond to ordered component objects and relative, object based spatial relationships between the component objects. The component assertion network represents evidence about the existence of object primitives in the input image. It establishes local frames of reference for object primitives relative to the image based frame of reference. The spatial relationship constraint network is an intermediate representation which enables the association between the object based and the image based frames of reference. This intermediate level represents information about possible object orderings and establishes relative spatial relationships from the image based information in the component assertion network below. It is also constrained by the lawful object orderings in the model memory network above. The system design is consistent with current psychological theories of recognition by component. It also seems to support Marr's notions

  5. Assimilation of Soil Wetness Index and Leaf Area Index into the ISBA-A-gs land surface model: grassland case study

    Directory of Open Access Journals (Sweden)

    A. L. Barbu

    2011-02-01

    Full Text Available The performance of the joint assimilation in a land surface model of a Soil Wetness Index (SWI product provided by an exponential filter together with Leaf Area Index (LAI is investigated. The data assimilation is evaluated with different setups using the SURFEX modeling platform, for a period of seven years (2001–2007, at the SMOSREX grassland site in southwestern France. The results obtained with a Simplified Extended Kalman Filter demonstrate the effectiveness of a joint data assimilation scheme when both SWI and Leaf Area Index are merged into the ISBA-A-gs land surface model. The assimilation of a retrieved Soil Wetness Index product presents several challenges that are investigated in this study. A significant improvement of around 13% of the root-zone soil water content is obtained by assimilating dimensionless root-zone SWI data. For comparison, the assimilation of in situ surface soil moisture is considered as well. A lower impact on the root zone is noticed. Under specific conditions, the transfer of the information from the surface to the root zone was found not accurate. Also, our results indicate that the assimilation of in situ LAI data may correct a number of deficiencies in the model, such as low LAI values in the senescence phase by using a seasonal-dependent error definition for background and observations. In order to verify the specification of the errors for SWI and LAI products, a posteriori diagnostics are employed. This approach highlights the importance of the assimilation design on the quality of the analysis. The impact of data assimilation scheme on CO2 fluxes is also quantified by using measurements of net CO2 fluxes gathered at the SMOSREX site from 2005 to 2007. An improvement of about 5% in terms of rms error is obtained.

  6. Drought Forecasting with Vegetation Temperature Condition Index Using ARIMA Models in the Guanzhong Plain

    Directory of Open Access Journals (Sweden)

    Miao Tian

    2016-08-01

    Full Text Available This paper works on the agricultural drought forecasting in the Guanzhong Plain of China using Autoregressive Integrated Moving Average (ARIMA models based on the time series of drought monitoring results of Vegetation Temperature Condition Index (VTCI. About 90 VTCI images derived from Advanced Very High Resolution Radiometer (AVHRR data were selected to develop the ARIMA models from the erecting stage to the maturity stage of winter wheat (early March to late May in each year at a ten-day interval of the years from 2000 to 2009. We take the study area overlying on the administration map around the study area, and divide the study area into 17 parts where at least one weather station is located in each part. The pixels where the 17 weather stations are located are firstly chosen and studied for their fitting models, and then the best models for all pixels of the whole area are determined. According to the procedures for the models’ development, the selected best models for the 17 pixels are identified and the forecast is done with three steps. The forecasting results of the ARIMA models were compared with the monitoring ones. The results show that with reference to the categorized VTCI drought monitoring results, the categorized forecasting results of the ARIMA models are in good agreement with the monitoring ones. The categorized drought forecasting results of the ARIMA models are more severity in the northeast of the Plain in April 2009, which are in good agreements with the monitoring ones. The absolute errors of the AR(1 models are lower than the SARIMA models, both in the frequency distributions and in the statistic results. However, the ability of SARIMA models to detect the changes of the drought situation is better than the AR(1 models. These results indicate that the ARIMA models can better forecast the category and extent of droughts and can be applied to forecast droughts in the Plain.

  7. Growth models and site index table of natural Korean pine forests

    Institute of Scientific and Technical Information of China (English)

    Sun Yuwen; Li Shi; Cui Hong; Li Changsheng; Lju Peng; Zhang Junhua

    1999-01-01

    According to the growth characteristics of natural Korean pine (Pinus Koraiensis) forests, 6 equations such as Chapman-Richards equation, Logistic equation, Power equation, and so on were selected to fit for the growth models for Korean pine forest. The growth models were developed based on 208 random trees and 240 dominant trees. Results show that the Chapman-Richards equation is the best model for estimating tree height by age and DBH, while the Parabola equation is fittest for predicting DBH by age or estimating age from DBH The site index table of Korean pine forest was compiled by using the proportional method with the Chapman-Richards equation as the guide curve and validated by accuracy test.

  8. Use of remotely sensed precipitation and leaf area index in a distributed hydrological model

    DEFF Research Database (Denmark)

    Andersen, J.; Dybkjær, G.; Jensen, Karsten Høgh

    2002-01-01

    Remotely sensed precipitation from METEOSAT data and leaf area index (LAI) from NOAA AVHRR data is used as input data to the distributed hydrological modelling of three sub catchments (82.000 km(2)) in the Senegal River Basin. Further, root depths of annual vegetation are related to the temporal...... and spatial variation of LAI. The modelling results are compared with results based on conventional input of precipitation and vegetation characteristics. The introduction of remotely sensed LAI shows improvements in the simulated hydrographs, a marked change in the relative proportions of actual...... evapotranspiration comprising canopy evaporation, soil evaporation and transpiration. while no clear trend in the spatial pattern could be found, The remotely sensed precipitation resulted in similar model performances with respect to the simulated hydrographs as with the conventional raingauge input. A simple...

  9. Statistical inference on parametric part for partially linear single-index model

    Institute of Scientific and Technical Information of China (English)

    ZHANG RiQuan; HUANG ZhenSheng

    2009-01-01

    Statistical inference on parametric part for the partially linear single-index model (PLSIM) is considered in this paper.A profile least-squares technique for estimating the parametric part is proposed and the asymptotic normality of the profile least-squares estimator is given.Based on the estimator,a generalized likelihood ratio (GLR) test is proposed to test whether parameters on linear part for the model is under a contain linear restricted condition.Under the null model,the proposed GLR statistic follows asymptotically the X2-distribution with the scale constant and degree of freedom independent of the nuisance parameters,known as Wilks phenomenon.Both simulated and real data examples are used to illustrate our proposed methods.

  10. Statistical inference on parametric part for partially linear single-index model

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    Statistical inference on parametric part for the partially linear single-index model (PLSIM) is considered in this paper. A profile least-squares technique for estimating the parametric part is proposed and the asymptotic normality of the profile least-squares estimator is given. Based on the estimator, a generalized likelihood ratio (GLR) test is proposed to test whether parameters on linear part for the model is under a contain linear restricted condition. Under the null model, the proposed GLR statistic follows asymptotically the χ2-distribution with the scale constant and degree of freedom independent of the nuisance parameters, known as Wilks phenomenon. Both simulated and real data examples are used to illustrate our proposed methods.

  11. The investigation of a relative contrast index model for fingerprint quantification.

    Science.gov (United States)

    Vanderwee, Jana; Porter, Glenn; Renshaw, Adrian; Bell, Michael

    2011-01-30

    The quantification of fingerprint contrast is a relatively new concept in fingerprint enhancement research. It has emerged as a mode of fingerprint assessment to reduce the potential biased of visual qualitative assessment. Subjective qualitative methods that are currently reported in the literature include; side-by-side assessment, assigning a score to a treatment based on visible criteria and stating observed results without presenting supporting validation. These qualitative methods often do not state clearly the visual assessment parameters and produce a degree of ambiguity when defining the enhancement results. The relative contrast index model was constructed to empirically quantify the difference in contrast between fingerprint ridges and valleys, using measurements gained from a microspectrophotometer. This paper seeks to further investigate this recent research and test the model using three different microspectrophotometers. Data from these separate sources will determine whether the theoretical aspects of the model would pragmatically produce reliable and repeatable results across a range of microspectrophotometers found in forensic laboratories.

  12. Potential Negative Impact of DG on Reliability Index: A Study Based on Time-Domain Modeling

    Science.gov (United States)

    Ran, Xuanchang

    This thesis presents an original insight of the negative impact of distributed generation on reliability index based on dynamic time-domain modeling. Models for essential power system components, such as protective devices and synchronous generators, were developed and tested. A 4 kV distribution loop which carries relatively high power demand was chosen for the analysis. The characteristic curves of all protective devices were extracted from utility database and applied to the time domain relay model. The performance of each device was investigated in details. The negative effect on reliability is due to the fuse opening caused by the installation of DG at the wrong location and inappropriate relay setup. Over 50% of the possible DG locations can produce an undesirable impact. The study conclusion is that there exists a significant potential for the installation of DG to negatively affect the reliability of power systems.

  13. An Ionospheric Index Model based on Linear Regression and Neural Network Approaches

    Science.gov (United States)

    Tshisaphungo, Mpho; McKinnell, Lee-Anne; Bosco Habarulema, John

    2017-04-01

    The ionosphere is well known to reflect radio wave signals in the high frequency (HF) band due to the present of electron and ions within the region. To optimise the use of long distance HF communications, it is important to understand the drivers of ionospheric storms and accurately predict the propagation conditions especially during disturbed days. This paper presents the development of an ionospheric storm-time index over the South African region for the application of HF communication users. The model will result into a valuable tool to measure the complex ionospheric behaviour in an operational space weather monitoring and forecasting environment. The development of an ionospheric storm-time index is based on a single ionosonde station data over Grahamstown (33.3°S,26.5°E), South Africa. Critical frequency of the F2 layer (foF2) measurements for a period 1996-2014 were considered for this study. The model was developed based on linear regression and neural network approaches. In this talk validation results for low, medium and high solar activity periods will be discussed to demonstrate model's performance.

  14. Development of a Habitat Suitability Index Model for the Sage Sparrow on the Hanford Site

    Energy Technology Data Exchange (ETDEWEB)

    Duberstein, Corey A.; Simmons, Mary Ann; Sackschewsky, Michael R.; Becker, James M.

    2008-01-01

    Mitigation threshold guidelines for the Hanford Site are based on habitat requirements of the sage sparrow (Amphispiza belli) and only apply to areas with a mature sagebrush (Artemisia tridentata) overstory and a native understory. The sage sparrow habitat requirements are based on literature values and are not specific to the Hanford Site. To refine these guidelines for the Site, a multi-year study was undertaken to quantify habitat characteristics of sage sparrow territories. These characteristics were then used to develop a habitat suitability index (HSI) model which can be used to estimate the habitat value of specific locations on the Site.

  15. Damage Model of Brittle Coal-Rock and Damage Energy Index of Rock Burst

    Institute of Scientific and Technical Information of China (English)

    尹光志; 张东明; 魏作安; 李东伟

    2003-01-01

    Based on the mechanical experiment of brittle coal-rock and the damage mechanical theory, a damage model was established. Coal-Rock damage mechanical characteristic was researched. Furthermore, interior energy transformation mechanism of rock was analyzed from the point of view of damage mechanics and damage energy release rate of brittle coal rock was derived. By analyzing the energy transformation of rock burst, a new conception, damage energy index of rock burst, was put forward. The condition of rock burst was also established.

  16. Modeling Nonlinear Acoustooptic Coupling in Fiber Optics Based on Refractive Index Variation due to Local Bending

    Directory of Open Access Journals (Sweden)

    Catalina Hurtado Castano

    2016-01-01

    Full Text Available A detailed procedure is presented to compute analytically the acoustooptic coupling coefficient between copropagating core and lowest-order cladding modes in tapered fiber optics. Based on the effect of the local bending, the linear and nonlinear variations in the refractive index are modeled. A set of equations and parameters are presented in order to calculate the influence of acoustooptic effect in nonlinear pulse propagation. We will show that as the tapered fiber diameter decreases more energy can be transferred to the cladding and the nonlinear phenomena can compensate the coupling coefficients effects.

  17. Adaptation of a 3-factor model for the Pittsburgh Sleep Quality Index in Portuguese older adults.

    Science.gov (United States)

    Becker, Nathália Brandolim; de Neves Jesus, Saul

    2017-05-01

    The present study examined the factor structure of the Pittsburgh Sleep Quality Index (PSQI) in a sample of older Portuguese adults using a cross-validation approach. Design is a cross-sectional. A convenience sample of 204 community-dwelling older adults (M=70.05, SD=7.15) were included. The global sleep quality (GSQ) score ranged from 0 to 18 with a mean of 5.98 (SD±3.45). The distribution showed that gender and perception of oneself as healthy influences GSQ in this sample. Cronbach's α was 0.69, but increased to 0.70 if the "use of sleep medication" component was deleted. Exploratory factor analysis (EFA) demonstrated two factor model is better than one factor, and a model fit with good indices (chi-square=8.649, df=8, p=0.373). Confirmatory factor analysis (CFA) was performed on the single factor, two factor, and three factor models, with and without the "use of sleep medications" component. The best model was the 3-factor model without the "use of sleep medications" component (chi-square=1.214, df=6, GFI=0.997, AGFI=0.918, CFI=0.986, RMSEA=0.046). The adaptation of the model is similar to the original model, with the only change being the exclusion of the "use of medications to sleep" component. We suggest using that component as a complementary qualitative assessment of health. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

  18. Teacher Participation in Decision Making: The Case of SMI Schools in Hong Kong.

    Science.gov (United States)

    Chan, Man-tak; Ching, Yue-chor; Cheng, Yin-cheong

    1997-01-01

    Investigates characteristics of participative decision making in schools implementing the School Management Initiative by using a three-dimensional model and both quantitative and qualitative methods. Reveals a deprivation state in decision making regarding issues of managerial and technical domains, but a positive attitude among teachers toward…

  19. NORMALIZED DIFFERENCE SNOW INDEX SIMULATION FOR SNOW-COVER MAPPING IN FOREST BY GEOSAIL MODEL

    Institute of Scientific and Technical Information of China (English)

    CAO Yun-gang; LIU Chuang

    2006-01-01

    The snow-cover mapping in forest area is always one of the difficult points for optical satellite remote sensing. To investigate reflectance variability and to improve the mapping of snow in forest area, GeoSail model was used to simulate the reflectance of a snow-covered forest. Using this model, the effects of varying canopy density, solar illumination and view geometry on the performance of the MODIS (Moderate-resolution Imaging Spectroradiometer)snow-cover mapping algorithm were investigated. The relationship between NDSI (Normalized Difference Snow Index), NDVI (Normalized Difference Vegetation Index) and snow fraction was discussed in detail. Results indicated that the weak performance would be achieved if fixed criteria were used for different regions especially in the complicated land cover components. Finally, some suggestions to MODIS SNOWMAP algorithm were put forward to improve snow mapping precision in forest area based on the simulation, for example, new criteria should be used in coniferous forest, that is, NDSI greater than 0.3 and NDVI greater than zero. Otherwise, a threshold on view zenith angle may be used in the criteria such as 45°.

  20. The relationships between WAIS-IV factor index scores and educational level: A bifactor model approach.

    Science.gov (United States)

    Abad, Francisco J; Sorrel, Miguel A; Román, Francisco J; Colom, Roberto

    2016-08-01

    IQ summary scores may not involve equivalent psychological meaning for different educational levels. Ultimately, this relates to the distinction between constructs and measurements. Here, we explore this issue studying the standardization of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) for Spain. A representative sample of 743 individuals (374 females and 369 males) who completed the 15 subtests comprising this intelligence battery was considered. We analyzed (a) the best latent factor structure for modeling WAIS-IV subtest performance, (b) measurement invariance across educational levels, and (c) the relationships of educational level/attainment with latent factors, Full Scale IQ (FSIQ), and index factor scores. These were the main findings: (a) the bifactor model provides the best fit; (b) there is partial invariance, and therefore it is concluded that the battery is a proper measure of the constructs of interest for the educational levels analyzed (nevertheless, the relevance of g decreases at high educational levels); (c) at the latent level, g and, to a lesser extent, Verbal Comprehension and Processing Speed, are positively related to educational level/attainment; (d) despite the previous finding, we find that Verbal Comprehension and Processing Speed factor index scores have reduced incremental validity beyond FSIQ; and (e) FSIQ is a slightly biased measure of g. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  1. Braking Index of Isolated Pulsars II: A novel two-dipole model of pulsar magnetism

    CERN Document Server

    Hamil, Oliver Q; Stone, Jirina R

    2016-01-01

    The magnetic dipole radiation (MDR) model is currently the best approach we have to explain pulsar radiation. However a most characteristic parameter of the observed radiation, the braking index n$_{\\rm obs}$ shows deviations for all the eight best studied isolated pulsars, from the simple model prediction n$_{\\rm dip}$ = 3. The index depends upon the rotational frequency and its first and second time derivatives, but also on the assumption of that the magnetic dipole moment and inclination angle, and the moment of inertia of the pulsar are constant in time. In a recent paper [Phys. Rev. D 91, 063007 (2015)] we showed conclusively that changes in the moment of inertia with frequency alone, cannot explain the observed braking indices. Possible observational evidence for the magnetic dipole moment migrating away from the rotational axis at a rate $\\dot\\alpha$ $\\sim$ 0.6$^{\\circ}$ per 100 years over the life time of the Crab pulsar has been recently suggested by Lyne et al. In this paper, we explore the MDR mode...

  2. Electron transfer reduction of nitriles using SmI2-Et3N-H2O: synthetic utility and mechanism.

    Science.gov (United States)

    Szostak, Michal; Sautier, Brice; Spain, Malcolm; Procter, David J

    2014-02-21

    The first general reduction of nitriles to primary amines under single electron transfer conditions is demonstrated using SmI2 (Kagan's reagent) activated with Lewis bases. The reaction features excellent functional group tolerance and represents an attractive alternative to the use of pyrophoric alkali metal hydrides. Notably, the electron transfer from Sm(II) to CN functional groups generates imidoyl-type radicals from bench stable nitrile precursors.

  3. Modeling and Simulation of Process-Machine Interaction in Grinding of Cemented Carbide Indexable Inserts

    Directory of Open Access Journals (Sweden)

    Wei Feng

    2015-01-01

    Full Text Available Interaction of process and machine in grinding of hard and brittle materials such as cemented carbide may cause dynamic instability of the machining process resulting in machining errors and a decrease in productivity. Commonly, the process and machine tools were dealt with separately, which does not take into consideration the mutual interaction between the two subsystems and thus cannot represent the real cutting operations. This paper proposes a method of modeling and simulation to understand well the process-machine interaction in grinding process of cemented carbide indexable inserts. First, a virtual grinding wheel model is built by considering the random nature of abrasive grains and a kinematic-geometrical simulation is adopted to describe the grinding process. Then, a wheel-spindle model is simulated by means of the finite element method to represent the machine structure. The characteristic equation of the closed-loop dynamic grinding system is derived to provide a mathematic description of the process-machine interaction. Furthermore, a coupling simulation of grinding wheel-spindle deformations and grinding process force by combining both the process and machine model is developed to investigate the interaction between process and machine. This paper provides an integrated grinding model combining the machine and process models, which can be used to predict process-machine interactions in grinding process.

  4. A Quasi-Poisson Approach on Modeling Accident Hazard Index for Urban Road Segments

    Directory of Open Access Journals (Sweden)

    Lu Ma

    2014-01-01

    Full Text Available In light of the recently emphasized studies on risk evaluation of crashes, accident counts under specific transportation facilities are adopted to reflect the chance of crash occurrence. The current study introduces more comprehensive measure with the supplement information of accidental harmfulness into the expression of accident risks which are also named Accident Hazard Index (AHI in the following context. Before the statistical analysis, datasets from various sources are integrated under a GIS platform and the corresponding procedures are presented as an illustrated example for similar analysis. Then, a quasi-Poisson regression model is suggested for analyses and the results show that the model is appropriate for dealing with overdispersed count data and several key explanatory variables were found to have significant impact on the estimation of AHI. In addition, the effect of weight on different severity levels of accidents is examined and the selection of the weight is also discussed.

  5. ARIMA Model Estimated by Particle Swarm Optimization Algorithm for Consumer Price Index Forecasting

    Science.gov (United States)

    Wang, Hongjie; Zhao, Weigang

    This paper presents an ARIMA model which uses particle swarm optimization algorithm (PSO) for model estimation. Because the traditional estimation method is complex and may obtain very bad results, PSO which can be implemented with ease and has a powerful optimizing performance is employed to optimize the coefficients of ARIMA. In recent years, inflation and deflation plague the world moreover the consumer price index (CPI) which is a measure of the average price of consumer goods and services purchased by households is usually observed as an important indicator of the level of inflation, so the forecast of CPI has been focused on by both scientific community and relevant authorities. Furthermore, taking the forecast of CPI as a case, we illustrate the improvement of accuracy and efficiency of the new method and the result shows it is predominant in forecasting.

  6. Multivariate Modeling of Body Mass Index, Pulse Pressure, Systolic and Diastolic Blood Pressure in Chinese Twins

    DEFF Research Database (Denmark)

    Wu, Yili; Zhang, Dongfeng; Pang, Zengchang;

    2015-01-01

    Systolic and diastolic blood pressure, pulse pressure (PP), and body mass index (BMI) are heritable traits in human metabolic health but their common genetic and environmental backgrounds are not well investigated. The aim of this article was to explore the phenotypic and genetic associations among...... PP, systolic blood pressure (SBP), diastolic blood pressure (DBP), and BMI. The studied sample contained 615 twin pairs (17-84 years) collected in the Qingdao municipality. Univariate and multivariate structural equation models were fitted for assessing the genetic and environmental contributions...... model estimated (1) high genetic correlations for DBP with SBP (0.87), PP with SBP (0.75); (2) low-moderate genetic correlations between PP and DBP (0.32), each BP component and BMI (0.24-0.37); (3) moderate unique environmental correlation for PP with SBP (0.68) and SBP with DBP (0.63); (4...

  7. Statistical analysis of strait time index and a simple model for trend and trend reversal

    Science.gov (United States)

    Chen, Kan; Jayaprakash, C.

    2003-06-01

    We analyze the daily closing prices of the Strait Time Index (STI) as well as the individual stocks traded in Singapore's stock market from 1988 to 2001. We find that the Hurst exponent is approximately 0.6 for both the STI and individual stocks, while the normal correlation functions show the random walk exponent of 0.5. We also investigate the conditional average of the price change in an interval of length T given the price change in the previous interval. We find strong correlations for price changes larger than a threshold value proportional to T; this indicates that there is no uniform crossover to Gaussian behavior. A simple model based on short-time trend and trend reversal is constructed. We show that the model exhibits statistical properties and market swings similar to those of the real market.

  8. Robust Transmission of Speech LSFs Using Hidden Markov Model-Based Multiple Description Index Assignments

    Directory of Open Access Journals (Sweden)

    Rondeau Paul

    2008-01-01

    Full Text Available Speech coding techniques capable of generating encoded representations which are robust against channel losses play an important role in enabling reliable voice communication over packet networks and mobile wireless systems. In this paper, we investigate the use of multiple description index assignments (MDIAs for loss-tolerant transmission of line spectral frequency (LSF coefficients, typically generated by state-of-the-art speech coders. We propose a simulated annealing-based approach for optimizing MDIAs for Markov-model-based decoders which exploit inter- and intraframe correlations in LSF coefficients to reconstruct the quantized LSFs from coded bit streams corrupted by channel losses. Experimental results are presented which compare the performance of a number of novel LSF transmission schemes. These results clearly demonstrate that Markov-model-based decoders, when used in conjunction with optimized MDIA, can yield average spectral distortion much lower than that produced by methods such as interleaving/interpolation, commonly used to combat the packet losses.

  9. Correlation between Gini index and mobility in a stochastic kinetic model of economic exchange

    Science.gov (United States)

    Bertotti, Maria Letizia; Chattopadhyay, Amit K.; Modanese, Giovanni

    Starting from a class of stochastically driven kinetic models of economic exchange, here we present results highlighting the correlation of the Gini inequality index with the social mobility rate, close to dynamical equilibrium. Except for the ;canonical-additive case;, our numerical results consistently indicate negative values of the correlation coefficient, in agreement with empirical evidence. This confirms that growing inequality is not conducive to social mobility which then requires an ;external source; to sustain its dynamics. On the other hand, the sign of the correlation between inequality and total income in the canonical ensemble depends on the way wealth enters or leaves the system. At a technical level, the approach involves a generalization of a stochastic dynamical system formulation, that further paves the way for a probabilistic formulation of perturbed economic exchange models.

  10. INDEXING AND INDEX FUNDS

    Directory of Open Access Journals (Sweden)

    HAKAN SARITAŞ

    2013-06-01

    Full Text Available Proponents of the efficient market hypothesis believe that active portfolio management is largely wasted effort and unlikely to justify the expenses incurred. Therefore, they advocate a passive investment strategy that makes no attempt to outsmart the market. One common strategy for passive management is indexing where a fund is designed to replicate the performance of a broad-based index of stocks and bonds. Traditionally, indexing was used by institutional investors, but today, the use of index funds proliferated among individual investors. Over the years, both international and domestic index funds have disproportionately outperformed the market more than the actively managed funds have.

  11. Constraining snowmelt in a temperature-index model using simulated snow densities

    Science.gov (United States)

    Bormann, Kathryn J.; Evans, Jason P.; McCabe, Matthew F.

    2014-09-01

    Current snowmelt parameterisation schemes are largely untested in warmer maritime snowfields, where physical snow properties can differ substantially from the more common colder snow environments. Physical properties such as snow density influence the thermal properties of snow layers and are likely to be important for snowmelt rates. Existing methods for incorporating physical snow properties into temperature-index models (TIMs) require frequent snow density observations. These observations are often unavailable in less monitored snow environments. In this study, previous techniques for end-of-season snow density estimation (Bormann et al., 2013) were enhanced and used as a basis for generating daily snow density data from climate inputs. When evaluated against 2970 observations, the snow density model outperforms a regionalised density-time curve reducing biases from -0.027 g cm-3 to -0.004 g cm-3 (7%). The simulated daily densities were used at 13 sites in the warmer maritime snowfields of Australia to parameterise snowmelt estimation. With absolute snow water equivalent (SWE) errors between 100 and 136 mm, the snow model performance was generally lower in the study region than that reported for colder snow environments, which may be attributed to high annual variability. Model performance was strongly dependent on both calibration and the adjustment for precipitation undercatch errors, which influenced model calibration parameters by 150-200%. Comparison of the density-based snowmelt algorithm against a typical temperature-index model revealed only minor differences between the two snowmelt schemes for estimation of SWE. However, when the model was evaluated against snow depths, the new scheme reduced errors by up to 50%, largely due to improved SWE to depth conversions. While this study demonstrates the use of simulated snow density in snowmelt parameterisation, the snow density model may also be of broad interest for snow depth to SWE conversion. Overall, the

  12. Constraining snowmelt in a temperature-index model using simulated snow densities

    KAUST Repository

    Bormann, Kathryn J.

    2014-09-01

    Current snowmelt parameterisation schemes are largely untested in warmer maritime snowfields, where physical snow properties can differ substantially from the more common colder snow environments. Physical properties such as snow density influence the thermal properties of snow layers and are likely to be important for snowmelt rates. Existing methods for incorporating physical snow properties into temperature-index models (TIMs) require frequent snow density observations. These observations are often unavailable in less monitored snow environments. In this study, previous techniques for end-of-season snow density estimation (Bormann et al., 2013) were enhanced and used as a basis for generating daily snow density data from climate inputs. When evaluated against 2970 observations, the snow density model outperforms a regionalised density-time curve reducing biases from -0.027gcm-3 to -0.004gcm-3 (7%). The simulated daily densities were used at 13 sites in the warmer maritime snowfields of Australia to parameterise snowmelt estimation. With absolute snow water equivalent (SWE) errors between 100 and 136mm, the snow model performance was generally lower in the study region than that reported for colder snow environments, which may be attributed to high annual variability. Model performance was strongly dependent on both calibration and the adjustment for precipitation undercatch errors, which influenced model calibration parameters by 150-200%. Comparison of the density-based snowmelt algorithm against a typical temperature-index model revealed only minor differences between the two snowmelt schemes for estimation of SWE. However, when the model was evaluated against snow depths, the new scheme reduced errors by up to 50%, largely due to improved SWE to depth conversions. While this study demonstrates the use of simulated snow density in snowmelt parameterisation, the snow density model may also be of broad interest for snow depth to SWE conversion. Overall, the

  13. Braking index of isolated pulsars. II. A novel two-dipole model of pulsar magnetism

    Science.gov (United States)

    Hamil, O.; Stone, N. J.; Stone, J. R.

    2016-09-01

    The magnetic dipole radiation model is currently the best approach we have to explain pulsar radiation. However, a most characteristic parameter of the observed radiation, the braking index nobs , shows deviations for all the eight best studied isolated pulsars, from the simple model prediction ndip=3 . The index depends upon the rotational frequency and its first and second time derivatives but also on the assumption that the magnetic dipole moment and inclination angle and the moment of inertia of the pulsar are constant in time. In a recent paper [Phys. Rev. D 91, 063007 (2015)], we showed conclusively that changes in the moment of inertia with frequency alone cannot explain the observed braking indices. Possible observational evidence for the magnetic dipole moment migrating away from the rotational axis at a rate α ˙ ˜0.6 ° per 100 years over the lifetime of the Crab pulsar has been recently suggested by Lyne et al. In this paper, we explore the magnetic dipole radiation model with constant moment of inertia and magnetic dipole moment but variable inclination angle α . We first discuss the effect of the variation of α on the observed braking indices and show they all can be understood. However, no explanation for the origin of the change in α is provided. After discussion of the possible source(s) of magnetism in pulsars, we propose a simple mechanism for the change in α based on a toy model in which the magnetic structure in pulsars consists of two interacting dipoles. We show that such a system can explain the Crab observation and the measured braking indices.

  14. PBT assessment and prioritization by PBT Index and consensus modeling: comparison of screening results from structural models.

    Science.gov (United States)

    Gramatica, Paola; Cassani, Stefano; Sangion, Alessandro

    2015-04-01

    The limited availability of comprehensive data for Persistence, Bioaccumulation and Toxicity (PBT) of chemicals is a serious hindrance to the assignment of compounds to the categories of PBT and vPvB; REACH regulation requires authorization for the use of such chemicals, and additionally plans for safer alternatives. In the context of screening and priority-setting tools for PBT-assessment, the cumulative PBT Index model, implemented in QSARINS (QSAR-INSUBRIA), new software tool for the development and validation of multiple linear regression QSAR models, offers a new holistic approach for the identification of chemicals with cumulative PBT properties directly from their molecular structure. In this study the Insubria PBT Index in QSARINS is applied to the screening and prioritization of various data sets, containing a large variety of chemicals of heterogeneous molecular structure, previously screened by various authors by different methods, for their potential PBT behavior. Particular attention is devoted to the model Applicability Domain, using different approaches such as Descriptor Range, Leverage, and Principal Component Analysis (PCA) of the modeling molecular descriptors, in order to discriminate between interpolated and extrapolated predictions. The results of this screening, which is based only on the molecular structure features and is not dependent on single threshold values for P, B and T, are compared with those obtained by the on-line US-EPA PBT Profiler. Good agreement between the various approaches is found, supporting the utility of a consensus approach in priority-setting studies. The main discrepancies are highlighted and commented on. Moreover, a priority list containing the most hazardous compounds identified in agreement between the two tools is drafted. The PBT Index, implemented in QSARINS, which was demonstrated to be a practical, precautionary and reliable screening tool for PBT-behavior directly from the molecular structure, can be

  15. Application of variable anti-connectivity index to active sites. Modelling pK(a) values of aliphatic monocarboxylic acids.

    Science.gov (United States)

    Sčavničar, A; Balaban, A T; Pompe, M

    2013-01-01

    A partial distance-weighted variable anti-connectivity topological index was introduced for modelling pK(a) values of 31 aliphatic carboxylic acids and haloalkyl-carboxylic acids. The partial distance-weighted variable anti-connectivity index showed superior modelling capabilities compared with the index calculated from the complete graph, because it is capable of accounting correctly for the intramolecular interactions of unconnected vertices to specific bond strengths (active site), thereby improving the RMS(CV) error by about 30% (0.221 pK(a) units).

  16. Hydrological modelling of the Mara River Basin, Kenya: Application of the Normalised Difference Infrared Index (NDII)

    Science.gov (United States)

    Hulsman, Petra; Savenije, Hubert; Bogaard, Thom

    2017-04-01

    In hydrology and water resources management, precipitation and discharge are the main time series for hydrological modelling. However, in African river catchments, the quantity and quality of the available precipitation stations and discharge measurements are unfortunately often inadequate for reliable hydrological modelling. To cope with these uncertainties, this study proposes to calibrate on water levels and to constrain the model using the Normalised Difference Infrared Index (NDII) as a proxy for root zone moisture stress. With the NDII, the leaf water content can be monitored. Previous studies related the NDII to the equivalent water thickness (EWT) of leaves, which is used to determine the vegetation water content (VWC). As the water content in the leaves is related to the water content in the root zone, the NDII can also be used as indicator of the soil moisture content in the root zone. In previous studies it was found that the root zone moisture content is exponentially correlated to the NDII during periods of moisture stress. In this study, the semi-distributed rainfall runoff model FLEX-Topo has been applied to the Mara River Basin. In this model seven sub-basins are distinguished and four hydrological response units with each a unique model structure based on the expected dominant flow processes. To calibrate the model, the water levels have been back-calculated from modelled discharges, using cross-section data and the Strickler formula calibrating parameter 'k•s1/2', and compared to measured water levels. In addition, the correlation between the NDII and root zone moisture content has been analysed for this river basin for each sub-catchment and hydrological response unit. Also, the application of the NDII as model constraint or for calibration has been analysed.

  17. Estimating leaf area index by inversion of reflectance model for semiarid natural grasslands

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    The study developed an integrated reflectance model combining radiative transfer and geometric optical properties in order to inverse leaf area index(LAI) of semiarid natural grasslands.In order to better link remote sensing information with land plants,and facilitate regional and global climate change studies,the model introduced a simple but important geometrical similarity parameter related to plant crown shapes.The model revealed the influences of different plant crown shapes(such as spherical,cylindrical/cuboidal and conic crowns) on leaf/branch angle distribution frequencies,shadow ground coverage,shadowed or sunlit background fractions,canopy reflectance,and scene reflectance.The modeled reflectance data agreed with the measured ones in the three Leymus chinensis steppes with different degradation degrees,which validated the reflectance model.The lower the degradation degree was,the better the modeled data agreed with the measured data.After this reflectance model was coupled with the optimization inversion method,LAI over the entire study region was estimated once every eight days using the eight-day products of surface reflectance obtained by multi-spectral Moderate-Resolution Imaging Spectroradiometer(MODIS) during the growing seasons in 2002.The temporal and spatial patterns of inversed LAI for the steppes with different cover degrees,swamps,flood plains,and croplands agreed with the general laws and measurements very well.But for unused land cover types(sands,saline,and barren lands) and forestlands,totally accounting for about 10% of the study region,the reasonable LAI values were not derived by inversing,requiring further revising of the model or the development of a new model for them.

  18. Analysis of schizophrenia data using a nonlinear threshold index logistic model.

    Science.gov (United States)

    Jiang, Zhenyu; Du, Chengan; Jablensky, Assen; Liang, Hua; Lu, Zudi; Ma, Yang; Teo, Kok Lay

    2014-01-01

    Genetic information, such as single nucleotide polymorphism (SNP) data, has been widely recognized as useful in prediction of disease risk. However, how to model the genetic data that is often categorical in disease class prediction is complex and challenging. In this paper, we propose a novel class of nonlinear threshold index logistic models to deal with the complex, nonlinear effects of categorical/discrete SNP covariates for Schizophrenia class prediction. A maximum likelihood methodology is suggested to estimate the unknown parameters in the models. Simulation studies demonstrate that the proposed methodology works viably well for moderate-size samples. The suggested approach is therefore applied to the analysis of the Schizophrenia classification by using a real set of SNP data from Western Australian Family Study of Schizophrenia (WAFSS). Our empirical findings provide evidence that the proposed nonlinear models well outperform the widely used linear and tree based logistic regression models in class prediction of schizophrenia risk with SNP data in terms of both Types I/II error rates and ROC curves.

  19. Analysis of schizophrenia data using a nonlinear threshold index logistic model.

    Directory of Open Access Journals (Sweden)

    Zhenyu Jiang

    Full Text Available Genetic information, such as single nucleotide polymorphism (SNP data, has been widely recognized as useful in prediction of disease risk. However, how to model the genetic data that is often categorical in disease class prediction is complex and challenging. In this paper, we propose a novel class of nonlinear threshold index logistic models to deal with the complex, nonlinear effects of categorical/discrete SNP covariates for Schizophrenia class prediction. A maximum likelihood methodology is suggested to estimate the unknown parameters in the models. Simulation studies demonstrate that the proposed methodology works viably well for moderate-size samples. The suggested approach is therefore applied to the analysis of the Schizophrenia classification by using a real set of SNP data from Western Australian Family Study of Schizophrenia (WAFSS. Our empirical findings provide evidence that the proposed nonlinear models well outperform the widely used linear and tree based logistic regression models in class prediction of schizophrenia risk with SNP data in terms of both Types I/II error rates and ROC curves.

  20. Is the BEHI Index (Part of the BANCS Model Good for Prediction of Streambank Erosion?

    Directory of Open Access Journals (Sweden)

    Zuzana Allmanová

    2016-01-01

    Full Text Available Sedimentation of waterways and reservoirs, decreasing quality of drinking water and costs necessary for maintenance of these objects directly related to streambank erosion. This study provides a tool for water management that can help with estimation parts of a streambank which are prone to erosion. The Bank erosion hazard index (BEHI part of the BANCS (Bank Assessment for Non‑point source Consequences of Sediment model is one of the several procedures for assessing streambank erosion condition and potential (Rosgen, 2001. On May 15th 2014 a high precipitation occurred in the watershed of Sestrč torrent, in the eastern part of Chočské vrchy (Sp = 27.64 km2. It reached 102.7 mm per 24 hours. The rainfall resulted in extreme streambank erosion. We started the research of annual stream bank erosion on Sestrč in the beginning of May 2014 and we established 19 experimental sections on the stream. Occurrence of heavy rainfall allowed us to erosion rates after flash flood. The aim of this paper was to verify, if BEHI index can really determine the most vulnerable parts of a banks to erosion. We measured erosion rates Eb (m3/m using a bank pins and toe pin (Sass, 2011 on each experimental section and evaluated each section by BEHI index (Rosgen, 2001, 2008. The results were statistically verified and confirmed a strong relationship between BEHI and real damage of banks Eb (m3/m (R: 0.88, R2: 0.78.

  1. Stochastic index model for intermittent regimes: from preliminary analysis to regionalisation

    Directory of Open Access Journals (Sweden)

    M. Rianna

    2011-04-01

    Full Text Available In small and medium-sized basins or in rivers characterized by intermittent discharges, with low or negligible/null observed values for long periods of the year, the correct representation of the discharge regime is important for issues related to water management and to define the amount and quality of water available for irrigation, domestic and recreational uses. In these cases, only one index as a statistical metric is often not enough; it is thus necessary to introduce Flow Duration Curves (FDC.

    The aim of this study is therefore to combine a stochastic index flow model capable of reproducing the FDC record period of a river, regardless of the persistence and seasonality of the series, with the theory of total probability in order to calculate how often a river is dry.

    The paper draws from preliminary analyses, including a study to estimate the correlation between discharge indicators Q95, Q50 and Q1 (discharges exceeding 95%, 50% or 1% of the time, respectively and some fundamental characteristics of the basin, as well as to identify homogeneous regions in the target area through the study of several geo-morphological features and climatic conditions. The stochastic model was then applied in one of the homogeneous regions that includes intermittent rivers.

    Finally, the model was regionalized by means of regression analysis in order to calculate the FDC for ungauged basins; the reliability of this method was tested using jack-knife validation.

  2. Entropy maximization under the constraints on the generalized Gini index and its application in modeling income distributions

    Science.gov (United States)

    Khosravi Tanak, A.; Mohtashami Borzadaran, G. R.; Ahmadi, J.

    2015-11-01

    In economics and social sciences, the inequality measures such as Gini index, Pietra index etc., are commonly used to measure the statistical dispersion. There is a generalization of Gini index which includes it as special case. In this paper, we use principle of maximum entropy to approximate the model of income distribution with a given mean and generalized Gini index. Many distributions have been used as descriptive models for the distribution of income. The most widely known of these models are the generalized beta of second kind and its subclass distributions. The obtained maximum entropy distributions are fitted to the US family total money income in 2009, 2011 and 2013 and their relative performances with respect to generalized beta of second kind family are compared.

  3. Modelling of graded index waveguide fabricated by ion exchange on Er3+ doped glass

    Institute of Scientific and Technical Information of China (English)

    Shao Gong-Wang; Jin Guo-Liang

    2009-01-01

    A general numerical tool, based on thermal diffusion equation and full-vectorial eigen-mode equation, has been presented for the systematic analysis of graded index channel waveguide fabricated by ion exchange on Er3+ doped glass. Finite difference method with full-vectorial formulation (FV-FDM) is applied to solving the full-vectorial modes of graded index channel waveguide for the first time. The coupled difference equations based on magnetic fields in FV-FDM are derived from the Taylor series expansion and accurate formulation of boundary conditions. Hybrid nature of vectorial guided modes for both pump (980 nm) and signal light (1550 nm) are demonstrated by the simulation. Results show that the fabrication parameters of ion exchange, such as channel opening width and time ratio of second step to first step in ion exchange, have large influence on the properties of waveguide. By optimizing the fabrication parameters, maintenance of monomode for signal light and improvement of the gain dynamics can be achieved in Er3+ doped waveguide amplifier (EDWA) fabricated by ion exchange technique. This theoretical model is significant for the design and fabrication of EDWA with ion exchange technique. Furthermore, a single polarization EDWA, which operates at wavelength from 1528 nm to 1541 nm for HE polarization, is numerically designed.

  4. Measurement model for competitiveness index among the municipalities of Compostela Valley, Mindanao, Philippines

    Directory of Open Access Journals (Sweden)

    Illeyt R. Silva

    2016-12-01

    Full Text Available This paper is intended to formulate a measurement model for competitiveness index and obtain the relative strengths and weaknesses of the municipalities of Compostela Valley. This paper endeavors to gauge the competitiveness index of the municipalities of Compostela Valley and attain the competitiveness measure of the 11 municipalities when ranked according to economic efficiency, government efficiency, and Infrastructure Development. This employed the weight aggregation of the competitiveness measures among the municipalities of Compostela Valley and the weighted average value of the three indicators measured where Economic efficiency had a weight of 50%, Government efficiency 30%, and Infrastructure development 20%. It was found that Nabunturan is the most consistent municipality in the areas of economic, Infrastructure development, and government efficiency, followed by Monkayo. Maco was consistent in the area of government efficiency and consistent low scores obtained by Mabini, Mawab, Montevista and New Bataan. The study therefore presents unbiased information among local governments to enhance and address those factors measured for them to be fully aware and be responsive on the challenges and for their local governments to formulate policies, thus making them potential investment destinations.

  5. Childhood craniopharyngioma: greater hypothalamic involvement before surgery is associated with higher homeostasis model insulin resistance index

    Directory of Open Access Journals (Sweden)

    Sainte-Rose Christian

    2009-04-01

    Full Text Available Abstract Background Obesity seems to be linked to the hypothalamic involvement in craniopharyngioma. We evaluated the pre-surgery relationship between the degree of this involvement on magnetic resonance imaging and insulin resistance, as evaluated by the homeostasis model insulin resistance index (HOMA. As insulin-like growth factor 1, leptin, soluble leptin receptor (sOB-R and ghrelin may also be involved, we compared their plasma concentrations and their link to weight change. Methods 27 children with craniopharyngioma were classified as either grade 0 (n = 7, no hypothalamic involvement, grade 1 (n = 8, compression without involvement, or grade 2 (n = 12, severe involvement. Results Despite having similar body mass indexes (BMI, the grade 2 patients had higher glucose, insulin and HOMA before surgery than the grade 0 (P = 0.02, The data for the whole population before and 6–18 months after surgery showed increases in BMI (P Conclusion The hypothalamic involvement by the craniopharyngioma before surgery seems to determine the degree of insulin resistance, regardless of the BMI. The pre-surgery HOMA values were correlated with the post-surgery weight gain. This suggests that obesity should be prevented by reducing inn secretion in those cases with hypothalamic involvement.

  6. The optical interface of a photonic crystal: Modeling an opal with a stratified effective index

    CERN Document Server

    Maurin, Isabelle; Laliotis, Athanasios; Bloch, Daniel

    2014-01-01

    An artificial opal is a compact arrangement of transparent spheres, and is an archetype of a three-dimensional photonic crystal. Here, we describe the optics of an opal using a flexible model based upon a stratified medium whose (effective) index is governed by the opal density in a small planar slice of the opal. We take into account the effect of the substrate and assume a well- controlled number of layers, as it occurs for an opal fabricated by Langmuir-Blodgett deposition. The calculations are performed with transfer matrices, and an absorptive component in the effective index is introduced to account for the light scattering. This one-dimensional formalism allows quantitative predictions for reflection and transmission, notably as a function of the ratio between the irradiation wavelength and the sphere diameter, or as a function of the incidence angle or of the polarization. It can be used for an irradiation from the substrate side or from the vacuum side and can account for defect layers. The interface...

  7. Benchmarking the Higher Education Institutions in Egypt using Composite Index Model

    Directory of Open Access Journals (Sweden)

    Mohamed Rashad M El-Hefnawy

    2014-11-01

    Full Text Available Egypt has the largest and most significant higher education system in the Middle East and North Africa but it had been continuously facing serious and accumulated challenges. The Higher Education Institutions in Egypt are undergoing important changes involving the development of performance, they are implementing strategies to enhance the overall performance of their universities using ICT, but still the gap between what is existing and what is supposed to be for the self-regulation and improvement processes is not entirely clear to face these challenges. The using of strategic comparative analysis model and tools to evaluate the current and future states will affect the overall performance of universities and shape new paradigms in development of Higher Education System (HES, several studies have investigated the evaluation of universities through the development and use of ranking and benchmark systems In this paper, we provide a model to construct unified Composite Index (CI based on a set of SMART indictors emulate the nature of higher education systems in Egypt. The outcomes of the proposed model aim to measure overall performance of universities and provide unified benchmarking method in this context. The model was discussed from theoretical and technical perspectives. Meanwhile, the research study was conducted with 40 professors from 19 renowned universities in Egypt as education domain experts.

  8. Management model of productive capacity: integrating theory of constraints and the global operational efficiency index (IROG

    Directory of Open Access Journals (Sweden)

    Diego Augusto Pacheco

    2012-08-01

    Full Text Available This paper presents a model of management capacity in productive systems integrating the concepts of the Theory of Constraints and Total Productive Maintenance (TPM. The main objective of this study is to discuss and propose a model of management capacity, able to answer the following key questions: i capacity indicators which should be considered and how to measure them to measure the productive capacity of manufacturing systems? ii what is the real productive capacity of the system analyzed under a determined relationship between capacity and demand? The discussion of the proposed model is relevant because the definition of productive capacity system enables better management of resources and capabilities, improve production scheduling on the factory floor and meeting the demands imposed by the market. This paper presents the proposition of using the Operating Income Index Global (IROG with a different approach from traditional literature dealing with the theme, presented by Nakajima (1988. The results of this paper enable to develop a model to determine the capacity of the production system and the impact on the productive capacity of the entire system, not to consider the quality conformances that occur after the bottleneck resource of the production flow.

  9. Stable direction recovery in single-index models with a diverging number of predictors

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Large dimensional predictors are often introduced in regressions to attenuate the possible modeling bias. We consider the stable direction recovery in single-index models in which we solely assume the response Y is independent of the diverging dimensional predictors X when βτ 0 X is given, where β 0 is a p n × 1 vector, and p n →∞ as the sample size n →∞. We first explore sufficient conditions under which the least squares estimation β n0 recovers the direction β 0 consistently even when p n = o(√ n). To enhance the model interpretability by excluding irrelevant predictors in regressions, we suggest an e1-regularization algorithm with a quadratic constraint on magnitude of least squares residuals to search for a sparse estimation of β 0 . Not only can the solution β n of e1-regularization recover β 0 consistently, it also produces sufficiently sparse estimators which enable us to select "important" predictors to facilitate the model interpretation while maintaining the prediction accuracy. Further analysis by simulations and an application to the car price data suggest that our proposed estimation procedures have good finite-sample performance and are computationally efficient.

  10. Comparing Bayesian and Maximum Likelihood Predictors in Structural Equation Modeling of Children’s Lifestyle Index

    Directory of Open Access Journals (Sweden)

    Che Wan Jasimah bt Wan Mohamed Radzi

    2016-11-01

    Full Text Available Several factors may influence children’s lifestyle. The main purpose of this study is to introduce a children’s lifestyle index framework and model it based on structural equation modeling (SEM with Maximum likelihood (ML and Bayesian predictors. This framework includes parental socioeconomic status, household food security, parental lifestyle, and children’s lifestyle. The sample for this study involves 452 volunteer Chinese families with children 7–12 years old. The experimental results are compared in terms of root mean square error, coefficient of determination, mean absolute error, and mean absolute percentage error metrics. An analysis of the proposed causal model suggests there are multiple significant interconnections among the variables of interest. According to both Bayesian and ML techniques, the proposed framework illustrates that parental socioeconomic status and parental lifestyle strongly impact children’s lifestyle. The impact of household food security on children’s lifestyle is rejected. However, there is a strong relationship between household food security and both parental socioeconomic status and parental lifestyle. Moreover, the outputs illustrate that the Bayesian prediction model has a good fit with the data, unlike the ML approach. The reasons for this discrepancy between ML and Bayesian prediction are debated and potential advantages and caveats with the application of the Bayesian approach in future studies are discussed.

  11. Asymtotics of Dantzig Selector for a General Single-Index Model

    Institute of Scientific and Technical Information of China (English)

    FAN Yan; GAI Yujie; ZHU Lixing

    2016-01-01

    As two popularly used variable selection methods,the Dantzig selector and the LASSO have been proved asymptotically equivalent in some scenarios.However,it is not the case in general for linear models,as disclosed in Gai,Zhu and Lin's paper in 2013.In this paper,it is further shown that generally the asymptotic equivalence is not true either for a general single-index model with random design of predictors.To achieve this goal,the authors systematically investigate necessary and sufficient conditions for the consistent model selection of the Dantzig selector.An adaptive Dantzig selector is also recommended for the cases where those conditions are not satisfied.Also,different from existing methods for linear models,no distributional assumption on error term is needed with a trade-off that more stringent condition on the predictor vector is assumed.A small scale simulation is conducted to examine the performances of the Dantzig selector and the adaptive Dantzig selector.

  12. Biological Surface Adsorption Index of Nanomaterials: Modelling Surface Interactions of Nanomaterials with Biomolecules.

    Science.gov (United States)

    Chen, Ran; Riviere, Jim E

    2017-01-01

    Quantitative analysis of the interactions between nanomaterials and their surrounding environment is crucial for safety evaluation in the application of nanotechnology as well as its development and standardization. In this chapter, we demonstrate the importance of the adsorption of surrounding molecules onto the surface of nanomaterials by forming biocorona and thus impact the bio-identity and fate of those materials. We illustrate the key factors including various physical forces in determining the interaction happening at bio-nano interfaces. We further discuss the mathematical endeavors in explaining and predicting the adsorption phenomena, and propose a new statistics-based surface adsorption model, the Biological Surface Adsorption Index (BSAI), to quantitatively analyze the interaction profile of surface adsorption of a large group of small organic molecules onto nanomaterials with varying surface physicochemical properties, first employing five descriptors representing the surface energy profile of the nanomaterials, then further incorporating traditional semi-empirical adsorption models to address concentration effects of solutes. These Advancements in surface adsorption modelling showed a promising development in the application of quantitative predictive models in biological applications, nanomedicine, and environmental safety assessment of nanomaterials.

  13. Retrieving crop leaf area index by assimilation of MODIS data into a crop growth model

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Leaf area index (LAI) is an important parameter in monitoring crop growth. One of the methods for retrieving LAI from remotely sensed observations is through inversion of canopy reflectance models. Many model inversion methods fail to account for variable LAI values at different crop growth stages. In this research, we use the crop growth model to describe the LAI changes with crop growth, and consider a priori LAI values at different crop growth stages as constraint information. The key approach of this research is to assimilate multiple canopy reflectance values observed at different growth stages and a priori LAI values into a coupled crop growth and radiative transfer model sequentially using a variational data assimilation algorithm. Adjoint method is used to minimize the cost function. Any other information source can be easily incorporated into the inversion cost function. The validation results show that the time series of MODIS canopy reflectance can greatly reduce the uncertainty of the inverted LAI values. Compared with MODIS LAI product at Changping and Shunyi Counties of Beijing, this method has significantly improved the estimated LAI temporal profile.

  14. Verifying three-dimensional skull model reconstruction using cranial index of symmetry.

    Directory of Open Access Journals (Sweden)

    Woon-Man Kung

    Full Text Available BACKGROUND: Difficulty exists in scalp adaptation for cranioplasty with customized computer-assisted design/manufacturing (CAD/CAM implant in situations of excessive wound tension and sub-cranioplasty dead space. To solve this clinical problem, the CAD/CAM technique should include algorithms to reconstruct a depressed contour to cover the skull defect. Satisfactory CAM-derived alloplastic implants are based on highly accurate three-dimensional (3-D CAD modeling. Thus, it is quite important to establish a symmetrically regular CAD/CAM reconstruction prior to depressing the contour. The purpose of this study is to verify the aesthetic outcomes of CAD models with regular contours using cranial index of symmetry (CIS. MATERIALS AND METHODS: From January 2011 to June 2012, decompressive craniectomy (DC was performed for 15 consecutive patients in our institute. 3-D CAD models of skull defects were reconstructed using commercial software. These models were checked in terms of symmetry by CIS scores. RESULTS: CIS scores of CAD reconstructions were 99.24±0.004% (range 98.47-99.84. CIS scores of these CAD models were statistically significantly greater than 95%, identical to 99.5%, but lower than 99.6% (p<0.001, p = 0.064, p = 0.021 respectively, Wilcoxon matched pairs signed rank test. These data evidenced the highly accurate symmetry of these CAD models with regular contours. CONCLUSIONS: CIS calculation is beneficial to assess aesthetic outcomes of CAD-reconstructed skulls in terms of cranial symmetry. This enables further accurate CAD models and CAM cranial implants with depressed contours, which are essential in patients with difficult scalp adaptation.

  15. Subject indexing in the Portuguese polytechnic libraries: proposing a simplified model to make it possible

    OpenAIRE

    Martins, Mª Catarina Barradas

    2014-01-01

    Academic libraries are still working based on the traditional documentation techniques of cataloguing and indexing. The research about subject access in OPACs has demonstrated that inadequate indexing policies have negative influence on the way users search the catalogs: subject indexing and retrieval have a direct correspondence. Searching by subject in bibliographic catalogs must be, as much as possible, a successful experience for the users, and consistent subject indexes contribute to a m...

  16. Description and evaluation of a net energy intake model as a function of dietary chewing index

    DEFF Research Database (Denmark)

    Jensen, L.M.; Markussen, B.; Nielsen, N.I.

    2016-01-01

    Previously, a linear relationship has been found between net energy intake (NEI) and dietary chewing index (CI) of the diet for different types of cattle. Therefore, we propose to generalize and calibrate this relationship into a new model for direct prediction of NEI by dairy cows from CI values...... and a was estimated to have a value of 2, implying a constant maximum daily chewing time. The intercept NEI0 in the regression of NEI on CINE may be interpreted as metabolic net energy intake capacity of the cows fed without physical constraints on intake. Based on experimental data, the maximum chewing time...... was estimated as 1/(4 × k). The NEI0 values were parameterized as a linear function of metabolic body size, energy-corrected milk yield (kg/d), days in milk, and days in milk squared. Prediction accuracy was evaluated by mean square prediction error (MSPE) and its decomposition into central tendency, regression...

  17. Description and evaluation of a net energy intake model as a function of dietary chewing index

    DEFF Research Database (Denmark)

    Jensen, Laura Mie; Markussen, Bo; Nielsen, N. I.

    2016-01-01

    Previously, a linear relationship has been found between net energy intake (NEI) and dietary chewing index (CI) of the diet for different types of cattle. Therefore, we propose to generalize and calibrate this relationship into a new model for direct prediction of NEI by dairy cows from CI values...... a value of 2, implying a constant maximum daily chewing time. The intercept NEI0 in the regression of NEI on CINE may be interpreted as metabolic net energy intake capacity of the cows fed without physical constraints on intake. Based on experimental data, the maximum chewing time was estimated as 1....../(4 × k). The NEI0 values were parameterized as a linear function of metabolic body size, energy-corrected milk yield (kg/d), days in milk, and days in milk squared. Prediction accuracy was evaluated by mean square prediction error (MSPE) and its decomposition into central tendency, regression...

  18. An analysis of single-index model with monotonic link function

    Institute of Scientific and Technical Information of China (English)

    ZHU Li-ping; YANG Xiao-yan; YU Zhou; LIU Xiang-rong

    2008-01-01

    The single-index model with monotonic link function is investigated. Firstly,it is showed that the link function h(·) can be viewed by a graphic method. That is,the plot with the fitted response y on the horizontal axis and the observed y on the vertical axis can be used to visualize the link function. It is pointed out that this graphic approach is also applicable even when the link function is not monotonic. Note that many existing nonparametric smoothers can also be used to assess h(·). Therefore,the I-spline approximation of the link function via maximizing the covariance function with a penalty function is investigated in the present work.The consistency of the criterion is constructed. A small simulation is carried out to evidence the efficiency of the approach proposed in the paper.

  19. Differential changes in body mass index after retirement by occupation: hierarchical models.

    Science.gov (United States)

    Gueorguieva, Ralitza; Sindelar, Jody L; Wu, Ran; Gallo, William T

    2011-02-01

    This paper examines whether retirement differentially affects body mass index (BMI) patterns by occupation; occupation embodies differences in on-the-job physical demands as well as socioeconomic characteristics that could lead to variation in post-retirement BMI. We use 12 years of national data from the US and hierarchical linear models to compare BMI trajectories among four broad occupational classes. We find that those in service and other blue-collar occupations have significant increases in the slopes of their BMI trajectories after retirement, whereas participants in white-collar occupations exhibit no change. This may be due to differences in the physical requirements across blue and white collar jobs or differences in health habits post-retirement. Retirement may provide an opportunity to help prevent obesity in older individuals, especially blue collar workers.

  20. The index of ideality of correlation: A criterion of predictive potential of QSPR/QSAR models?

    Science.gov (United States)

    Toropov, Andrey A; Toropova, Alla P

    2017-07-01

    The index of ideality of correlation (IIC) is a new criterion of the predictive potential of quantitative structure-property/activity relationships (QSPRs/QSARs). This IIC is calculated with using of the correlation coefficient between experimental and calculated values of endpoint for the calibration set, with taking into account the positive and negative dispersions between experimental and calculated values. The mutagenicity is well-known important characteristic of substances from ecological point of view. Consequently, the estimation of the IIC for mutagenicity is well motivated. It is confirmed that the utilization of this criterion significantly improves the predictive potential of QSAR models of mutagenicity. The new criterion can be used for other endpoints. Copyright © 2017 Elsevier B.V. All rights reserved.

  1. Polychotomization of continuous variables in regression models based on the overall C index

    Directory of Open Access Journals (Sweden)

    Bax Leon

    2006-12-01

    Full Text Available Abstract Background When developing multivariable regression models for diagnosis or prognosis, continuous independent variables can be categorized to make a prediction table instead of a prediction formula. Although many methods have been proposed to dichotomize prognostic variables, to date there has been no integrated method for polychotomization. The latter is necessary when dichotomization results in too much loss of information or when central values refer to normal states and more dispersed values refer to less preferable states, a situation that is not unusual in medical settings (e.g. body temperature, blood pressure. The goal of our study was to develop a theoretical and practical method for polychotomization. Methods We used the overall discrimination index C, introduced by Harrel, as a measure of the predictive ability of an independent regressor variable and derived a method for polychotomization mathematically. Since the naïve application of our method, like some existing methods, gives rise to positive bias, we developed a parametric method that minimizes this bias and assessed its performance by the use of Monte Carlo simulation. Results The overall C is closely related to the area under the ROC curve and the produced di(polychotomized variable's predictive performance is comparable to the original continuous variable. The simulation shows that the parametric method is essentially unbiased for both the estimates of performance and the cutoff points. Application of our method to the predictor variables of a previous study on rhabdomyolysis shows that it can be used to make probability profile tables that are applicable to the diagnosis or prognosis of individual patient status. Conclusion We propose a polychotomization (including dichotomization method for independent continuous variables in regression models based on the overall discrimination index C and clarified its meaning mathematically. To avoid positive bias in

  2. Validation of the prostate health index in a predictive model of prostate cancer.

    Science.gov (United States)

    Sanchís-Bonet, A; Barrionuevo-González, M; Bajo-Chueca, A M; Pulido-Fonseca, L; Ortega-Polledo, L E; Tamayo-Ruiz, J C; Sánchez-Chapado, M

    2017-08-12

    To validate and analyse the clinical usefulness of a predictive model of prostate cancer that incorporates the biomarker «[-2] pro prostate-specific antigen» using the prostate health index (PHI) in decision making for performing prostate biopsies. We isolated serum from 197 men with an indication for prostate biopsy to determine the total prostate-specific antigen (tPSA), the free PSA fraction (fPSA) and the [-2] proPSA (p2PSA). The PHI was calculated as p2PSA/fPSA×√tPSA. We created 2 predictive models that incorporated clinical variables along with tPSA or PHI. The performance of PHI was assessed with a discriminant analysis using receiver operating characteristic curves, internal calibration and decision curves. The areas under the curve for the tPSA and PHI models were 0.71 and 0.85, respectively. The PHI model showed a better ability to discriminate and better calibration for predicting prostate cancer but not for predicting a Gleason score in the biopsy ≥7. The decision curves showed a greater net benefit with the PHI model for diagnosing prostate cancer when the probability threshold was 15-35% and greater savings (20%) in the number of biopsies. The incorporation of p2PSA through PHI in predictive models of prostate cancer improves the accuracy of the risk stratification and helps in the decision-making process for performing prostate biopsies. Copyright © 2017 AEU. Publicado por Elsevier España, S.L.U. All rights reserved.

  3. Hybrid Power Forecasting Model for Photovoltaic Plants Based on Neural Network with Air Quality Index

    Directory of Open Access Journals (Sweden)

    Idris Khan

    2017-01-01

    Full Text Available High concentration of greenhouse gases in the atmosphere has increased dependency on photovoltaic (PV power, but its random nature poses a challenge for system operators to precisely predict and forecast PV power. The conventional forecasting methods were accurate for clean weather. But when the PV plants worked under heavy haze, the radiation is negatively impacted and thus reducing PV power; therefore, to deal with haze weather, Air Quality Index (AQI is introduced as a parameter to predict PV power. AQI, which is an indication of how polluted the air is, has been known to have a strong correlation with power generated by the PV panels. In this paper, a hybrid method based on the model of conventional back propagation (BP neural network for clear weather and BP AQI model for haze weather is used to forecast PV power with conventional parameters like temperature, wind speed, humidity, solar radiation, and an extra parameter of AQI as input. The results show that the proposed method has less error under haze condition as compared to conventional model of neural network.

  4. A Risk-Free Protection Index Model for Portfolio Selection with Entropy Constraint under an Uncertainty Framework

    Directory of Open Access Journals (Sweden)

    Jianwei Gao

    2017-02-01

    Full Text Available This paper aims to develop a risk-free protection index model for portfolio selection based on the uncertain theory. First, the returns of risk assets are assumed as uncertain variables and subject to reputable experts’ evaluations. Second, under this assumption, combining with the risk-free interest rate we define a risk-free protection index (RFPI, which can measure the protection degree when the loss of risk assets happens. Third, note that the proportion entropy serves as a complementary means to reduce the risk by the preset diversification requirement. We put forward a risk-free protection index model with an entropy constraint under an uncertainty framework by applying the RFPI, Huang’s risk index model (RIM, and mean-variance-entropy model (MVEM. Furthermore, to solve our portfolio model, an algorithm is given to estimate the uncertain expected return and standard deviation of different risk assets by applying the Delphi method. Finally, an example is provided to show that the risk-free protection index model performs better than the traditional MVEM and RIM.

  5. AN ANALYSIS OF SINGLE INDEX MARKET MODEL AND ITS ASSUMPTIONS’ VALIDITY IN ESTIMATING SECTOR BETAS AT ISTANBUL STOCK EXCHANGE

    Directory of Open Access Journals (Sweden)

    KORAY KAYALIDERE

    2013-06-01

    Full Text Available This study aims examination of statistical properties of single index market model. Moreover, the fulfillment degree of basic assumptions related with the model is researched. Daily, weekly, and monthly logarithmic industry portfolio returns covering 2000-2012 period are used and ISE-100 index is chosen to represent the market portfolio. Main goals of this research are to investigate statistical significance of the sector betas, the accuracy of the model specification, ARCH effect, and autocorrelation and heteroscedasticity problems. It can be said that single index model based on daily return interval does not satisfy econometrical and statistical assumptions. Furthermore, it is observed that the fulfillment degree of basic assumptions increases as the return interval gets wider.

  6. Use of a variable-index fractional-derivative model to capture transient dispersion in heterogeneous media

    Science.gov (United States)

    Sun, HongGuang; Zhang, Yong; Chen, Wen; Reeves, Donald M.

    2014-02-01

    Field and numerical experiments of solute transport through heterogeneous porous and fractured media show that the growth of contaminant plumes may not exhibit constant scaling, and may instead transition between diffusive states (i.e., superdiffusion, subdiffusion, and Fickian diffusion) at various transport scales. These transitions are likely attributed to physical properties of the medium, such as spatial variations in medium heterogeneity. We refer to this transitory dispersive behavior as "transient dispersion", and propose a variable-index fractional-derivative model (FDM) to describe the underlying transport dynamics. The new model generalizes the standard constant-index FDM which is limited to stationary heterogeneous media. Numerical methods including an implicit Eulerian method (for spatiotemporal transient dispersion) and a Lagrangian solver (for multiscaling dispersion) are utilized to produce variable-index FDM solutions. The variable-index FDM is then applied to describe transient dispersion observed at two field tracer tests and a set of numerical experiments. Results show that 1) uranine transport at the small-scale Grimsel test site transitions from strong subdispersion to Fickian dispersion, 2) transport of tritium at the regional-scale Macrodispersion Experimental (MADE) site transitions from near-Fickian dispersion to strong superdispersion, and 3) the conservative particle transport through regional-scale discrete fracture network transitions from superdispersion to Fickian dispersion. The variable-index model can efficiently quantify these transitions, with the scale index varying linearly in time or space.

  7. Use of a variable-index fractional-derivative model to capture transient dispersion in heterogeneous media.

    Science.gov (United States)

    Sun, Hongguang; Zhang, Yong; Chen, Wen; Reeves, Donald M

    2014-02-01

    Field and numerical experiments of solute transport through heterogeneous porous and fractured media show that the growth of contaminant plumes may not exhibit constant scaling, and may instead transition between diffusive states (i.e., superdiffusion, subdiffusion, and Fickian diffusion) at various transport scales. These transitions are likely attributed to physical properties of the medium, such as spatial variations in medium heterogeneity. We refer to this transitory dispersive behavior as "transient dispersion", and propose a variable-index fractional-derivative model (FDM) to describe the underlying transport dynamics. The new model generalizes the standard constant-index FDM which is limited to stationary heterogeneous media. Numerical methods including an implicit Eulerian method (for spatiotemporal transient dispersion) and a Lagrangian solver (for multiscaling dispersion) are utilized to produce variable-index FDM solutions. The variable-index FDM is then applied to describe transient dispersion observed at two field tracer tests and a set of numerical experiments. Results show that 1) uranine transport at the small-scale Grimsel test site transitions from strong subdispersion to Fickian dispersion, 2) transport of tritium at the regional-scale Macrodispersion Experimental (MADE) site transitions from near-Fickian dispersion to strong superdispersion, and 3) the conservative particle transport through regional-scale discrete fracture network transitions from superdispersion to Fickian dispersion. The variable-index model can efficiently quantify these transitions, with the scale index varying linearly in time or space.

  8. Validating a Dynamic Global Vegetation Model with Remotely Sensed Vegetation Index

    Directory of Open Access Journals (Sweden)

    Jiaxin Jin

    2013-02-01

    Full Text Available The present study aims to evaluate the ability of IBIS model to capture the difference in vegetation characteristics among six major biomes in the Northeast China Transect and to calibrate the simulated LAI by IBIS, using the product of MODIS LAI (Leaf Area Index. The results showed that IBIS simulated a little lower growing season LAI over temperate evergreen conifer forest and boreal evergreen forest, while it overestimated LAI relative to MODIS in non-growing season. IBIS performed poorly on LAI over savanna, grassland and shrub land, compared with MODIS and it nearly simulated higher LAI throughout the year. Based on regression analysis, the simulating LAI by IBIS (Integrated Biosphere Simulator presented a significant linear correlation with that from MODIS over temperate evergreen conifer forest in spring and winter, boreal evergreen forest throughout the year and grassland from summer to early autumn. Therefore, it was help to adjust the model parameters over these plant functional types to calibrate the estimated LAI in a large spatial scale.

  9. Modeling the human development index and the percentage of poor people using quantile smoothing splines

    Science.gov (United States)

    Mulyani, Sri; Andriyana, Yudhie; Sudartianto

    2017-03-01

    Mean regression is a statistical method to explain the relationship between the response variable and the predictor variable based on the central tendency of the data (mean) of the response variable. The parameter estimation in mean regression (with Ordinary Least Square or OLS) generates a problem if we apply it to the data with a symmetric, fat-tailed, or containing outlier. Hence, an alternative method is necessary to be used to that kind of data, for example quantile regression method. The quantile regression is a robust technique to the outlier. This model can explain the relationship between the response variable and the predictor variable, not only on the central tendency of the data (median) but also on various quantile, in order to obtain complete information about that relationship. In this study, a quantile regression is developed with a nonparametric approach such as smoothing spline. Nonparametric approach is used if the prespecification model is difficult to determine, the relation between two variables follow the unknown function. We will apply that proposed method to poverty data. Here, we want to estimate the Percentage of Poor People as the response variable involving the Human Development Index (HDI) as the predictor variable.

  10. Extended T-index models for glacier surface melting: a case study from Chorabari Glacier, Central Himalaya, India

    Science.gov (United States)

    Karakoti, Indira; Kesarwani, Kapil; Mehta, Manish; Dobhal, D. P.

    2016-10-01

    Two enhanced temperature-index (T-index) models are proposed by incorporating meteorological parameters viz. relative humidity, wind speed and net radiation. The models are an attempt to explore different climatic variables other than temperature affecting glacier surface melting. Weather data were recorded at Chorabari Glacier using an automatic weather station during the summers of 2010 (July 10 to September 10) and 2012 (June 10 to October 25). The modelled surface melt is validated against the measured point surface melting at the snout. Performance of the developed models is evaluated by comparing with basic temperature-index model and is quantified through different efficiency criteria. The results suggest that proposed models yield considerable improvement in surface melt simulation . Consequently, the study reveals that glacier surface melt depends not only on temperature but also on weather parameters viz. relative humidity, wind speed and net radiation play a significant role in glacier surface melting. This approach provides a major improvement on basic temperature-index method and offers an alternative to energy balance model.

  11. Relation between body mass index and depression: a structural equation modeling approach

    Directory of Open Access Journals (Sweden)

    Akhtar-Danesh Noori

    2007-04-01

    Full Text Available Abstract Background Obesity and depression are two major diseases which are associated with many other health problems such as hypertension, dyslipidemia, diabetes mellitus, coronary heart disease, stroke, myocardial infarction, heart failure in patients with systolic hypertension, low bone mineral density and increased mortality. Both diseases share common health complications but there are inconsistent findings concerning the relationship between obesity and depression. In this work we used the structural equation modeling (SEM technique to examine the relation between body mass index (BMI, as a proxy for obesity, and depression using the Canadian Community Health Survey, Cycle 1.2. Methods In this SEM model we postulate that 1 BMI and depression are directly related, 2 BMI is directly affected by the physical activity and, 3depression is directly influenced by stress. SEM was also used to assess the relation between BMI and depression separately for males and females. Results The results indicate that higher BMI is associated with more severe form of depression. On the other hand, the more severe form of depression may result in less weight gain. However, the association between depression and BMI is gender dependent. In males, the higher BMI may result in a more severe form of depression while in females the relation may not be the same. Also, there was a negative relationship between physical activity and BMI. Conclusion In general, use of SEM method showed that the two major diseases, obesity and depression, are associated but the form of the relation is different among males and females. More research is necessary to further understand the complexity of the relationship between obesity and depression. It also demonstrated that SEM is a feasible technique for modeling the relation between obesity and depression.

  12. Agriculture Drought Risk Management Using Standardized Precipitation Index and AEZ Model

    Directory of Open Access Journals (Sweden)

    M. H. Nazarifar

    2014-01-01

    Full Text Available The objective of this study was to assess the drought risk management in the region under study. The SPI method was adopted for drought monitoring in Hamadan Province, Iran. The temporal and spatial extent of the area vulnerable to drought was delineated using AEZ model, GIS and other softwares. Five zones were recognized based on the drought severity index. Selection of compatible crops with respect to climate and land production capability of a region specially in drought condition is one of the effective elements to increase the water productivity in agriculture, based on Agro-ecological Zoning(AEZ model, developed by FAO, suitable spatial extension of wheat cultivation, which is the main crop in Hamadan Province, were delineated. According to this study the most suitable lands potentially available for wheat production are located in the north-east region and a part of the central region, where as, least suitable ones can be observed in the north-east and the south – east regions. The results of the risk analysis study show that south-east, north and central regions are susceptible to longest duration intense droughts where as long duration droughts are intensive in north, west and south-east regions. The overlaid and integrated maps of risks with the maps obtained after applying the AEZ model resulted into the map of spatial suitability of potential crop production for each class of risk (longest duration and most intensive durations. This enables the decision makers to define spatial priority of crop cultivation and manage various potential regions susceptible to drought risks.

  13. Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model

    Science.gov (United States)

    Sriwongsitanon, Nutchanart; Gao, Hongkai; Savenije, Hubert H. G.; Maekan, Ekkarin; Saengsawang, Sirikanya; Thianpopirug, Sansarith

    2016-08-01

    With remote sensing we can readily observe the Earth's surface, but direct observation of the sub-surface remains a challenge. In hydrology, but also in related disciplines such as agricultural and atmospheric sciences, knowledge of the dynamics of soil moisture in the root zone of vegetation is essential, as this part of the vadose zone is the core component controlling the partitioning of water into evaporative fluxes, drainage, recharge, and runoff. In this paper, we compared the catchment-scale soil moisture content in the root zone of vegetation, computed by a lumped conceptual model, with the remotely sensed Normalized Difference Infrared Index (NDII) in the Upper Ping River basin (UPRB) in northern Thailand. The NDII is widely used to monitor the equivalent water thickness (EWT) of leaves and canopy. Satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) were used to determine the NDII over an 8-day period, covering the study area from 2001 to 2013. The results show that NDII values decrease sharply at the end of the wet season in October and reach lowest values near the end of the dry season in March. The values then increase abruptly after rains have started, but vary in an insignificant manner from the middle to the late rainy season. This paper investigates if the NDII can be used as a proxy for moisture deficit and hence for the amount of moisture stored in the root zone of vegetation, which is a crucial component of hydrological models. During periods of moisture stress, the 8-day average NDII values were found to correlate well with the 8-day average soil moisture content (Su) simulated by the lumped conceptual hydrological rainfall-runoff model FLEX for eight sub-catchments in the Upper Ping basin. Even the deseasonalized Su and NDII (after subtracting the dominant seasonal signal) showed good correlation during periods of moisture stress. The results illustrate the potential of the NDII as a proxy for catchment-scale root zone

  14. Model-simulated and Satellite-derived Leaf Area Index (LAI) Comparisons Across Multiple Spatial Scales

    Science.gov (United States)

    Iiames, J. S., Jr.; Cooter, E. J.

    2016-12-01

    Leaf Area Index (LAI) is an important parameter in assessing vegetation structure for characterizing forest canopies over large areas at broad spatial scales using satellite remote sensing data. However, satellite-derived LAI products can be limited by obstructed atmospheric conditions yielding sub-optimal values, or complete non-returns. The United States Environmental Protection Agency's Exposure Methods and Measurements and Computational Exposure Divisions are investigating the viability of supplemental modelled LAI inputs into satellite-derived data streams to support various regional and local scale air quality models for retrospective and future climate assessments. In this present study, one-year (2002) of plot level stand characteristics at four study sites located in Virginia and North Carolina (USA) are used to calibrate species-specific plant parameters in a semi-empirical biogeochemical model. The Environmental Policy Integrated Climate (EPIC) model was designed primarily for managed agricultural field crop ecosystems, but also includes managed woody species that span both xeric and mesic sites (e.g., mesquite, pine, oak, etc.). LAI was simulated using EPIC at a 4 km2 and 12 km2 grid coincident with the regional Community Multiscale Air Quality Model (CMAQ) grid. LAI comparisons were made between model-simulated and MODIS-derived LAI. Field/satellite-upscaled LAI was also compared to the corresponding MODIS LAI value. Preliminary results show field/satellite-upscaled LAI (1 km2) was 1.5 to 3 times smaller than that with the corresponding 1 km2 MODIS LAI for all four sites across all dates, with the largest discrepancies occurring at leaf-out and leaf senescence periods. Simulated LAI/MODIS LAI comparison results will be presented at the conference. Disclaimer: This work is done in support of EPA's Sustainable Healthy Communities Research Program. The U.S. Environmental Protection Agency funded and conducted the research described in this paper. Although

  15. Structural hybrid reliability index and its convergent solving method based on random–fuzzy–interval reliability model

    Directory of Open Access Journals (Sweden)

    Hai An

    2016-08-01

    Full Text Available Aiming to resolve the problems of a variety of uncertainty variables that coexist in the engineering structure reliability analysis, a new hybrid reliability index to evaluate structural hybrid reliability, based on the random–fuzzy–interval model, is proposed in this article. The convergent solving method is also presented. First, the truncated probability reliability model, the fuzzy random reliability model, and the non-probabilistic interval reliability model are introduced. Then, the new hybrid reliability index definition is presented based on the random–fuzzy–interval model. Furthermore, the calculation flowchart of the hybrid reliability index is presented and it is solved using the modified limit-step length iterative algorithm, which ensures convergence. And the validity of convergent algorithm for the hybrid reliability model is verified through the calculation examples in literature. In the end, a numerical example is demonstrated to show that the hybrid reliability index is applicable for the wear reliability assessment of mechanisms, where truncated random variables, fuzzy random variables, and interval variables coexist. The demonstration also shows the good convergence of the iterative algorithm proposed in this article.

  16. Project MEDICO; Model Experiment in Drug Indexing by Computer. First Progress Report.

    Science.gov (United States)

    Artandi, Susan; Baxendale, Stanley

    This report describes Phase 1 of a research project with the over-all objective of exploring the applicability of automatic methods in the indexing of drug information appearing in English natural language text. Two major phases of the research have been completed: (1) development of the automatic indexing method and its implementation on the test…

  17. Joint leaf chlorophyll and leaf area index retrieval using a regularized canopy reflectance model inversion system

    Science.gov (United States)

    Houborg, R.; McCabe, M. F.; Gitelson, A. A.

    2013-12-01

    Leaf area index (LAI) and leaf chlorophyll (Chl) represent key biophysical and biochemical controls on water, energy and carbon exchange processes in the terrestrial biosphere. In combination LAI and Chl provide critical information on vegetation density and phenology, the vitality of vegetation and photosynthetic functioning, and joint satellite-based retrievals can be used to inform land surface models and reduce uncertainties of model predicted ecosystem fluxes in space and time. Simultaneous retrieval of LAI and Chl from space observations is however extremely challenging as the interference of atmospheric effects, canopy characteristics and background reflectance may confound the detection of relatively subtle differences in canopy reflectance resulting from changes in Chl. Regularization strategies are therefore required to increase robustness and accuracy of retrieved properties and more reliably separate soil, leaf and canopy variables. Here we describe recent refinements to the REGularized canopy reFLECtance model (REGFLEC) retrieval system, which includes enhanced regularization techniques for exploiting ancillary LAI and temporal information derived from multiple satellite scenes over a given growing season. REGFLEC is applied to Landsat time-series data and retrieval results evaluated against in-situ LAI and Chl collected over maize and soybean sites in central Nebraska over a 5-year period (2001-2005). While REGFLEC may provide useful information on the density and vitality of vegetation, the results reflect the challenges associated with accurately extracting the relatively small leaf-level chlorophyll signal from the total satellite signal when using a few standard broad bands available operationally (i.e. blue, green, red and near-infrared) as input to a homogeneous canopy reflectance model. A noteworthy and novel aspect of the REGFLEC approach is the fact that no site-specific data were used to calibrate the model that may be run in a completely

  18. Spectral Analysis of Dow Jones Index and Comparison with Model Predicted Cycles During 1900-2005

    CERN Document Server

    Selvam, A M

    2006-01-01

    The day-to day fluctuations of Dow Jones Index exhibit fractal fluctuations, namely, a zigzag pattern of successive increases followed by decreases on all space-time scales. Self-similar fractal fluctuations are generic to dynamical systems in nature and imply long-range space-time correlations. The apparently unpredictable (chaotic) fluctuations of dynamical systems exhibit underlying order with the power spectra exhibiting inverse power law form, now identified as self-organized criticality. The physics of self-organized criticality is not yet identified. A general systems theory developed by the author shows that self-similar fractal fluctuations are signatures of quantum-like chaos in dynamical systems of all size scales ranging from the subatomic dynamics of quantum systems to macro-scale fluid flows. The model predicts the universal inverse power-law form of the statistical normal distribution for the power spectra of fractal space-time fluctuations of dynamical systems. In this paper it is shown that t...

  19. Dynamic indoor thermal comfort model identification based on neural computing PMV index

    Science.gov (United States)

    Sahari, K. S. Mohamed; Jalal, M. F. Abdul; Homod, R. Z.; Eng, Y. K.

    2013-06-01

    This paper focuses on modelling and simulation of building dynamic thermal comfort control for non-linear HVAC system. Thermal comfort in general refers to temperature and also humidity. However in reality, temperature or humidity is just one of the factors affecting the thermal comfort but not the main measures. Besides, as HVAC control system has the characteristic of time delay, large inertia, and highly nonlinear behaviour, it is difficult to determine the thermal comfort sensation accurately if we use traditional Fanger's PMV index. Hence, Artificial Neural Network (ANN) has been introduced due to its ability to approximate any nonlinear mapping. Using ANN to train, we can get the input-output mapping of HVAC control system or in other word; we can propose a practical approach to identify thermal comfort of a building. Simulations were carried out to validate and verify the proposed method. Results show that the proposed ANN method can track down the desired thermal sensation for a specified condition space.

  20. Early Warning System in ASEAN Countries Using Capital Market Index Return: Modiied Markov Regime Switching Model

    Directory of Open Access Journals (Sweden)

    Imam Wahyudi

    2014-08-01

    Full Text Available Asia's  inancial  crisis  in  July  1997  affects  currency,  capital  market,  and  real  market throughout  Asian  countries.  Countries  in  southeast  region  (ASEAN,  including  Indonesia, Malaysia, Philippines, Singapore, and Thailand, are some of the countries where the crisis hit  the  most.  In  these  countries,  where  inancial  sectors  are  far  more  developed  than  real sectors  and  the  money  market  sectors,  most  of  the  economic  activities  are  conducted  in capital  market.  Movement  in  the  capital  market  could  be  a  proxy  to  describe  the  overall economic  situation  and  therefore  the  prediction  of  it  could  be  an  early  warning  system  of economic crises. This paper tries to investigate movement in ASEAN (Indonesia, Malaysia, Philippines,  Singapore,  and  Thailand  capital  market  to  build  an  early  warning  system from inancial sectors perspective. This paper will be very beneicial for the government to anticipate the forthcoming crisis. The insight of this paper is from Hamilton (1990 model of regime switching process in which he divide the movement of currency into two regimes, describe the switching transition based on Markov process and creates different model for each regimes. Differ from Hamilton, our research focuses on index return instead of currency to  model  the  regime  switching.  This  research  aimed  to  ind  the  probability  of  crisis  in  the future by combining the probability of switching and the probability distribution function of each  regime.  Probability  of  switching  is  estimated  by  categorizing  the  movement  in  index return  into  two  regimes  (negative  return  in  regime  1  and  positive  return  in  regime  2  then measuring  the  proportion  of  switching  to  regime  1  in  t  given  regime

  1. An Agent-Based Computational Model for China’s Stock Market and Stock Index Futures Market

    Directory of Open Access Journals (Sweden)

    Hai-Chuan Xu

    2014-01-01

    Full Text Available This study presents an agent-based computational cross market model for Chinese equity market structure, which includes both stocks and CSI 300 index futures. In this model, we design several stocks and one index future to simulate this structure. This model allows heterogeneous investors to make investment decisions with restrictions including wealth, market trading mechanism, and risk management. Investors’ demands and order submissions are endogenously determined. Our model successfully reproduces several key features of the Chinese financial markets including spot-futures basis distribution, bid-ask spread distribution, volatility clustering, and long memory in absolute returns. Our model can be applied in cross market risk control, market mechanism design, and arbitrage strategies analysis.

  2. The Shape and Term Structure of the Index Option Smirk: Why Multifactor Stochastic Volatility Models Work so Well

    DEFF Research Database (Denmark)

    Christoffersen, Peter; Heston, Steven; Jacobs, Kris

    State-of-the-art stochastic volatility models generate a "volatility smirk" that explains why out-of-the-money index puts have high prices relative to the Black-Scholes benchmark. These models also adequately explain how the volatility smirk moves up and down in response to changes in risk. However...... using a two-factor stochastic volatility model. Because the factors have distinct correlations with market returns, and because the weights of the factors vary over time, the model generates stochastic correlation between volatility and stock returns. Besides providing more flexible modeling of the time...

  3. The Precession Index, A Nonlinear Energy Balance Model, And Seversmith Psychroterms

    Science.gov (United States)

    Rubincam, David Parry

    2004-01-01

    An important component of Milankovitch's astronomical theory of climate change is the precession index. The precession index, along with the Earth's tilt and orbital eccentricity, are believed to be the major controlling factors of climate change in the last few million years. The precession index is e sin omega(sub s) where e is the Earth's orbital eccentricity and omega(sub s) measures how close the Sun is to the Earth at midsummer. When omega(sub s) = 90deg the Sun is close to the Earth during northern summer, and at 270deg it is far from the Earth during northern summer. The precession index varies with time, because both the eccentricity e and the parameter omega(sub s) are constantly changing due to disturbances in the Earth's orbit by other planets, and due to the precession of the Earth, The change is largely periodic, with a period of about 23,000 years.

  4. Use of the DISST model to estimate the HOMA and Matsuda indexes using only a basal insulin assay.

    Science.gov (United States)

    Davidson, Shaun M; Docherty, Paul D; Chase, J Geoffrey

    2014-07-01

    It is hypothesized that early detection of reduced insulin sensitivity (SI) could prompt intervention that may reduce the considerable financial strain type 2 diabetes mellitus (T2DM) places on global health care. Reduction of the cost of already inexpensive SI metrics such as the Matsuda and HOMA indexes would enable more widespread, economically feasible use of these metrics for screening. The goal of this research was to determine a means of reducing the number of insulin samples and therefore the cost required to provide an accurate Matsuda Index value. The Dynamic Insulin Sensitivity and Secretion Test (DISST) model was used with the glucose and basal insulin measurements from an Oral Glucose Tolerance Test (OGTT) to predict patient insulin responses. The insulin response to the OGTT was determined via population based regression analysis that incorporated the 60-minute glucose and basal insulin values. The proposed method derived accurate and precise Matsuda Indices as compared to the fully sampled Matsuda (R = .95) using only the basal assay insulin-level data and 4 glucose measurements. Using a model employing the basal insulin also allows for determination of the 1-day HOMA value. The DISST model was successfully modified to allow for the accurate prediction an individual's insulin response to the OGTT. In turn, this enabled highly accurate and precise estimation of a Matsuda Index using only the glucose and basal insulin assays. As insulin assays account for the majority of the cost of the Matsuda Index, this model offers a significant reduction in assay cost.

  5. Development of lichen response indexes using a regional gradient modeling approach for large-scale monitoring of forests

    Science.gov (United States)

    Susan Will-Wolf; Peter Neitlich

    2010-01-01

    Development of a regional lichen gradient model from community data is a powerful tool to derive lichen indexes of response to environmental factors for large-scale and long-term monitoring of forest ecosystems. The Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture Forest Service includes lichens in its national inventory of forests of...

  6. Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation

    Science.gov (United States)

    The scale mismatch between remotely sensed observations and crop growth models simulated state variables decreases the reliability of crop yield estimates. To overcome this problem, we used a two-step data assimilation phases: first we generated a complete leaf area index (LAI) time series by combin...

  7. Weight management in a cohort of Irish inpatients with serious mental illness (SMI) using a modular behavioural programme. A preliminary service evaluation.

    LENUS (Irish Health Repository)

    Bushe, Chris J

    2008-01-01

    BACKGROUND: Weight gain is commonly observed during psychotropic treatments for chronic forms of severe mental illness and is most rapid during the early treatment phases. All formats of behavioural weight intervention programmes have suggested that weight gain can be prevented or reversed in some patients. There is no data on these programmes in acutely unwell inpatients whom may be the major beneficiaries. METHODS: A modular behavioural intervention programme (Solutions for Wellness) used in SMI outpatients since 2002 in Ireland has been adapted for inpatient use. Preliminary data is reported from 5 centres in Ireland. RESULTS: In 47 inpatients the mean weight change was +0.26 kg (SD 2.02) with a median change of 0 kg. Mean follow-up was 23.7 (SD 21.6) days, and median 14 days (range 6-98 days). There was no difference in mean weight change in those patients involved for > 35 days compared with < 35 days (+0.26 kg; 0.25 kg; p = 0.5). Weight loss or maintenance was seen in 70% of patients. CONCLUSION: These preliminary data are supportive of the concept that acutely unwell inpatients with SMI may engage with a behavioural weight programme. Weight change observed contrasts with the significant weight gain often seen in most subjects. Further clinical trials are warranted.

  8. 2008 GEM Modeling Challenge: Metrics Study of the Dst Index in Physics-Based Magnetosphere and Ring Current Models and in Statistical and Analytic Specifications

    Science.gov (United States)

    Rastaetter, L.; Kuznetsova, M.; Hesse, M.; Pulkkinen, A.; Glocer, A.; Yu, Y.; Meng, X.; Raeder, J.; Wiltberger, M.; Welling, D.; Jordanova, V.; Zaharia, S.; Sazykin, S.; Weigel, R.; Boynton, R.; Eccles, V.; Gannon, J.

    2011-01-01

    In this paper the metrics-based results of the Dst part of the 2008-2009 GEM Metrics Challenge are reported. The Metrics Challenge asked modelers to submit results for 4 geomagnetic storm events and 5 different types of observations that can be modeled by statistical or climatological or physics-based (e.g. MHD) models of the magnetosphere-ionosphere system. We present the results of over 25 model settings that were run at the Community Coordinated Modeling Center (CCMC) and at the institutions of various modelers for these events. To measure the performance of each of the models against the observations we use comparisons of one-hour averaged model data with the Dst index issued by the World Data Center for Geomagnetism, Kyoto, Japan, and direct comparison of one-minute model data with the one-minute Dst index calculated by the United States Geologic Survey (USGS).

  9. Childhood body mass index trajectories: modeling, characterizing, pairwise correlations and socio-demographic predictors of trajectory characteristics

    OpenAIRE

    Wen Xiaozhong; Kleinman Ken; Gillman Matthew W; Rifas-Shiman Sheryl L; Taveras Elsie M

    2012-01-01

    Abstract Background Modeling childhood body mass index (BMI) trajectories, versus estimating change in BMI between specific ages, may improve prediction of later body-size-related outcomes. Prior studies of BMI trajectories are limited by restricted age periods and insufficient use of trajectory information. Methods Among 3,289 children seen at 81,550 pediatric well-child visits from infancy to 18 years between 1980 and 2008, we fit individual BMI trajectories using mixed effect models with f...

  10. Análise da confiabilidade e da correlação de dois índices de estimativa da maturação esquelética: índice carpal e índice vertebral Reliability and correlation analysis of two skeletal maturation evaluation indexes: hand-wrist index and cervical vertebrae index

    Directory of Open Access Journals (Sweden)

    Melissa Feres Damian

    2006-10-01

    Full Text Available OBJETIVO: o objetivo deste estudo foi avaliar a confiabilidade e a correlação de dois índices de estimativa da maturação esquelética. METODOLOGIA: foi utilizada uma amostra de 210 radiografias carpais e telerradiografias laterais, de arquivo, de pacientes de ambos os gêneros, com idade entre 7 e 18 anos. As radiografias carpais foram utilizadas na determinação do Índice de Maturação Carpal (IMC e as telerradiografias laterais na determinação do Índice de Maturação Vertebral (IMV. Cada grupo de radiografias foi examinado e reexaminado por 4 avaliadores, para analisar a confiabilidade de cada índice, e ainda foi realizada a comparação entre os estágios do IMC e do IMV, para avaliar a correlação entre os índices. RESULTADOS: os resultados demonstraram que não houve diferença estatisticamente significante entre os 4 observadores nas avaliações do IMC e do IMV (pAIM: the aim of this study were to evaluate the reliability and correlation of two different skeletal maturation evaluation indexes. METHODS: two hundred and ten hand-wrist and cephalometric radiographs from files of patients with 7- 18 years old were used. The hand-wrist radiographs were used to determine the skeletal maturation index (SMI and the cephalometric radiographs to determine the cervical vertebrae maturation index (CVMI. Four independent evaluators were asked to examine twice each radiography and to verify the reliability of each index. The stages of SMI and CVMI were compared to evaluate the relationship between them. RESULTS: the results were not statisticaly different among the four evaluators on SMI and CVMI indexes (p<0.00001. The correlation average to SMI was 95% for the first evaluation and 93.5% for the second evaluation. On the CVMI, the correlation average was 84% for the first evaluation and 74% for the second evaluation. The correlation intraoperator did not showed significant difference (p<0.00001 and the average for SMI was 93.5% and for

  11. On the Harmonic Oscillator Model of Electron Delocalization (HOMED Index and its Application to Heteroatomic π-Electron Systems

    Directory of Open Access Journals (Sweden)

    Katarzyna Kolczyńska

    2010-07-01

    Full Text Available The HOMA (Harmonic Oscillator Model of Aromaticity index, reformulated in 1993, has been very often applied to describe π-electron delocalization for mono- and polycyclic π-electron systems. However, different measures of π-electron delocalization were employed for the CC, CX, and XY bonds, and this index seems to be inappropriate for compounds containing heteroatoms. In order to describe properly various resonance effects (σ-π hyperconjugation, n-π conjugation, π-π conjugation, and aromaticity possible for heteroatomic π-electron systems, some modifications, based on the original HOMA idea, were proposed and tested for simple DFT structures containing C, N, and O atoms. An abbreviation HOMED was used for the modified index.

  12. Modelling shallow landslide susceptibility by means of a subsurface flow path connectivity index and estimates of soil depth spatial distribution

    Directory of Open Access Journals (Sweden)

    C. Lanni

    2012-11-01

    Full Text Available Topographic index-based hydrological models have gained wide use to describe the hydrological control on the triggering of rainfall-induced shallow landslides at the catchment scale. A common assumption in these models is that a spatially continuous water table occurs simultaneously across the catchment. However, during a rainfall event isolated patches of subsurface saturation form above an impeding layer and their hydrological connectivity is a necessary condition for lateral flow initiation at a point on the hillslope.

    Here, a new hydrological model is presented, which allows us to account for the concept of hydrological connectivity while keeping the simplicity of the topographic index approach. A dynamic topographic index is used to describe the transient lateral flow that is established at a hillslope element when the rainfall amount exceeds a threshold value allowing for (a development of a perched water table above an impeding layer, and (b hydrological connectivity between the hillslope element and its own upslope contributing area. A spatially variable soil depth is the main control of hydrological connectivity in the model. The hydrological model is coupled with the infinite slope stability model and with a scaling model for the rainfall frequency–duration relationship to determine the return period of the critical rainfall needed to cause instability on three catchments located in the Italian Alps, where a survey of soil depth spatial distribution is available. The model is compared with a quasi-dynamic model in which the dynamic nature of the hydrological connectivity is neglected. The results show a better performance of the new model in predicting observed shallow landslides, implying that soil depth spatial variability and connectivity bear a significant control on shallow landsliding.

  13. 烟草壮苗指数模型研究%Study on Tobacco Vigorous Seedling Indexes Model

    Institute of Scientific and Technical Information of China (English)

    白岩; 史万华; 邢小军; 王勇; 靳义荣; 张良; 宋毓峰; 董连红; 刘好宝

    2014-01-01

    [(茎围/株高)×总鲜重×10]复合指标与综合评价指数呈极显著相关,可作为衡量烟苗素质的壮苗指数模型。(3)17项烟苗素质指标与壮苗评价指标[(茎围/株高)×总鲜重×10]的关系分析图表明,当[(茎围/株高)×总鲜重×10]为28.57-37.05时,烟苗健壮,根系发达,通过大田验证,[(茎围/株高)×总鲜重×10]为28.57-37.05内的烟株生长发育较快,田间生长势强,根系对土壤水分和营养物质的吸收较为活跃,光合作用力大,抗逆性强,烤后烟叶品质好、经济效益可观。【结论】壮苗指数模型[(茎围/株高)×总鲜重×10]能科学地衡量烟苗素质及其生长发育状况,全面地反映烟苗各项素质指标,简单实用、方便快捷。经大田验证,当数值为28.57-37.05时,各项烟苗素质指标达到最高值,烟苗移栽后还苗快且还苗率高,各生育时期烟株农艺性状和生理生化性状好,烟叶经济效益大、品质优。%Objective]Researches made by the predecessors mainly focused on the indexes of crop seedling selection, less studies were carried out in quantification of seedling index model and validation, especially reports on the study of tobacco seedling index model are rare, so in practical production of tobacco seedling, exploration and development of scientific evaluations of quantitative indicators of tobacco seedling are badly needed. The establishment of a suitable vigorous seedling index model for tobacco intensive seedling in China was established to provide a theoretical basis for the normal raising seedlings and cultivating vigorous seedlings for tobacco production.[Method]Based on traditional vigorous seedling standards, following the principle of dominant, practice and operability, 17 seedling quality indexes including the plant height, stem circumference, above-ground fresh weight, underground part fresh weight, root activity, chlorophyll, and superoxide dismutase (SOD) were determined. Fuzzy

  14. Adverse impact of low skeletal muscle index on the prognosis of hepatocellular carcinoma after hepatic resection.

    Science.gov (United States)

    Yabusaki, Norimitsu; Fujii, Tsutomu; Yamada, Suguru; Suzuki, Kojiro; Sugimoto, Hiroyuki; Kanda, Mitsuro; Nakayama, Goro; Koike, Masahiko; Fujiwara, Michitaka; Kodera, Yasuhiro

    2016-06-01

    Skeletal muscle depletion predicts poor prognosis of patients with certain cancers. However, the correlation between low skeletal muscle index (SMI) and the prognosis of hepatocellular carcinoma (HCC) is not well understood. To determine their influence on prognosis, skeletal muscle index (SMI) and visceral fat area (VFA) were measured using computed tomography at the level of the third lumbar vertebra of 195 patients who underwent primary hepatectomy for hepatocellular carcinoma (HCC). We defined sarcopenia using cutoff values for SMI as 43.75 cm(2)/m(2) and 41.10 cm(2)/m(2) for males and females, respectively. Sarcopenia was present in 89 of 195 (45.6%) patients and correlated significantly (P fat area, low VFA, and low serum albumin levels. There was a trend indicating the association of sarcopenia with poor cumulative recurrence rate (CRR) (P = 0.13). In patients with BMI ≥22, CRR was significantly different between patients with or without sarcopenia (19.0 or 35.2 months, respectively, P = 0.03). In contrast, there was no significant difference in patients with BMI ≥22 as a function of VFA (P = 0.47). When the cohort was limited to patients with BMI ≥22, multivariate analysis showed that sarcopenia was a significant independent risk factor for recurrence (hazard ratio = 1.6; 95% confidence interval, 1.1-2.5; P = 0.02). Low-SMI was an independent adverse prognostic factor for CRR in patients with BMI ≥22. Therefore, preventing muscle wasting may improve the CRR of patients with HCC. Copyright © 2016 IJS Publishing Group Ltd. Published by Elsevier Ltd. All rights reserved.

  15. Activity of 30 different cheeses on cholesterol plasma levels and Oxidative Balance Risk Index (OBRI) in a rat model.

    Science.gov (United States)

    Cornelli, Umberto; Bondiolotti, Gianpietro; Battelli, Giovanna; Zanoni, Giuseppe; Finco, Annarosa; Recchia, Martino

    2015-01-01

    Cheese is considered to increase the total cholesterol levels (CH) due to the high-saturated fat content. New models are needed to measure the relationship between cholesterol and cheese. Thirty different cheeses produced in Val Brembana, Italy ("furmai da mut", "caprino" and "stracchino"), were added to the diet of 30 groups of 4 rats. Cheeses were analyzed to differentiate the volatile organic compounds (VOCs) and the cholesterol content (Ch(f)). The body weight, CH, urine volume and oxidative balance were measured. Three new indexes in relation to CH were calculated: OI (oxidative index), PI (protective index) and OBRI (oxidative balance risk index). None of the cheeses increased CH. Some of the "furmai de mut" were significantly decreasing CH and improved the oxidative balance. Ch(f) was not affecting the CH levels in plasma. In terms of VOCs, the acetic acid content was correlated (p < 0.05) with the CH reduction and PI improvement. OBRI was reduced mainly in the "stracchino group". The model shows that some cheese can reduce significantly CH levels and improve the antioxidant capacity.

  16. Global assessment of Vegetation Index and Phenology Lab (VIP and Global Inventory Modeling and Mapping Studies (GIMMS version 3 products

    Directory of Open Access Journals (Sweden)

    M. Marshall

    2015-06-01

    Full Text Available Earth observation based long-term global vegetation index products are used by scientists from a wide range of disciplines concerned with global change. Inter-comparison studies are commonly performed to keep the user community informed on the consistency and accuracy of such records as they evolve. In this study, we compared two new records: (1 Global Inventory Modeling and Mapping Studies (GIMMS Normalized Difference Vegetation Index Version 3 (NDVI3g and (2 Vegetation Index and Phenology Lab (VIP Version 3 NDVI (NDVI3v and Enhanced Vegetation Index 2 (EVI3v. We evaluated the two records via three experiments that addressed the primary use of such records in global change research: (1 prediction of the Leaf Area Index (LAI used in light-use efficiency modeling, (2 estimation of vegetation climatology in Soil-Vegetation-Atmosphere Transfer models, and (3 trend analysis of the magnitude and phenology of vegetation productivity. Experiment one, unlike previous inter-comparison studies, was performed with a unique Landsat 30 m spatial resolution and in situ LAI database for major crop types on five continents. Overall, the two records showed a high level of agreement both in direction and magnitude on a monthly basis, though VIP values were higher and more variable and showed lower correlations and higher error with in situ LAI. The records were most consistent at northern latitudes during the primary growing season and southern latitudes and the tropics throughout much of the year, while the records were less consistent at northern latitudes during green-up and senescence and in the great deserts of the world throughout much of the year. The two records were also highly consistent in terms of trend direction/magnitude, showing a 30+ year increase (decrease in NDVI over much of the globe (tropical rainforests. The two records were less consistent in terms of timing due to the poor correlation of the records during start and end of growing season.

  17. All-cause mortality among people with serious mental illness (SMI, substance use disorders, and depressive disorders in southeast London: a cohort study

    Directory of Open Access Journals (Sweden)

    Lee William

    2010-09-01

    Full Text Available Abstract Background Higher mortality has been found for people with serious mental illness (SMI, including schizophrenia, schizoaffective disorders, and bipolar affective disorder at all age groups. Our aim was to characterize vulnerable groups for excess mortality among people with SMI, substance use disorders, depressive episode, and recurrent depressive disorder. Methods A case register was developed at the South London and Maudsley National Health Services Foundation Trust (NHS SLAM, accessing full electronic clinical records on over 150,000 mental health service users as a well-defined cohort since 2006. The Case Register Interactive Search (CRIS system enabled searching and retrieval of anonymised information since 2008. Deaths were identified by regular national tracing returns after 2006. Standardized mortality ratios (SMRs were calculated for the period 2007 to 2009 using SLAM records for this period and the expected number of deaths from age-specific mortality statistics for the England and Wales population in 2008. Data were stratified by gender, ethnicity, and specific mental disorders. Results A total of 31,719 cases, aged 15 years old or more, active between 2007-2009 and with mental disorders of interest prior to 2009 were detected in the SLAM case register. SMRs were 2.15 (95% CI: 1.95-2.36 for all SMI with genders combined, 1.89 (1.64-2.17 for women and 2.47 (2.17-2.80 for men. In addition, highest mortality risk was found for substance use disorders (SMR = 4.17; 95% CI: 3.75-4.64. Age- and gender-standardised mortality ratios by ethnic group revealed huge fluctuations, and SMRs for all disorders diminished in strength with age. The main limitation was the setting of secondary mental health care provider in SLAM. Conclusions Substantially higher mortality persists in people with serious mental illness, substance use disorders and depressive disorders. Furthermore, mortality risk differs substantially with age, diagnosis, gender

  18. A current precipitation index-based model for continuous daily runoff simulation in seasonally snow covered sub-arctic catchments

    Science.gov (United States)

    Akanegbu, Justice O.; Marttila, Hannu; Ronkanen, Anna-Kaisa; Kløve, Bjørn

    2017-02-01

    A new precipitation index-based model, which includes a snow accumulation and melt component, has been developed to simulate hydrology in high latitude catchments. The model couples a point snowmelt model with a current precipitation index (CPI) formulation to simulate continuous daily runoff from catchments with seasonal snow cover. A new runoff conversion factor: CT and Lf, threshold flow factor ThQ and runoff transformation function Maxbas were introduced into the CPI equation, which converts and transforms the routed daily CPI into daily runoff and maintains the daily base flow in the catchment. The model was developed using twelve sub-arctic boreal catchments located above and below the Arctic Circle in northern Finland, representing a region with considerable seasonal snow cover. The results showed that the model can adequately simulate and produce the dynamics of daily runoff from catchments where the underlying physical conditions are not known. An open-access Excel-based model is provided with this paper for daily runoff simulations. The model can be used to estimate runoff in sub-arctic regions where little data is typically available but significant changes in climate are expected, with considerable shifts in the amount and timing of snowmelt and runoff.

  19. A restoration suitability index model for the eastern oyster (Crassostrea virginica in the Mission-Aransas Estuary, TX, USA.

    Directory of Open Access Journals (Sweden)

    Jennifer Beseres Pollack

    Full Text Available Oyster reefs are one of the most threatened marine habitats on earth, with habitat loss resulting from water quality degradation, coastal development, destructive fishing practices, overfishing, and storm impacts. For successful and sustainable oyster reef restoration efforts, it is necessary to choose sites that support long-term growth and survival of oysters. Selection of suitable sites is critically important as it can greatly influence mortality factors and may largely determine the ultimate success of the restoration project. The application of Geographic Information Systems (GIS provides an effective methodology for identifying suitable sites for oyster reef restoration and removes much of the uncertainty involved in the sometimes trial and error selection process. This approach also provides an objective and quantitative tool for planning future oyster reef restoration efforts. The aim of this study was to develop a restoration suitability index model and reef quality index model to characterize locations based on their potential for successful reef restoration within the Mission-Aransas Estuary, Texas, USA. The restoration suitability index model focuses on salinity, temperature, turbidity, dissolved oxygen, and depth, while the reef quality index model focuses on abundance of live oysters, dead shell, and spat. Size-specific Perkinsus marinus infection levels were mapped to illustrate general disease trends. This application was effective in identifying suitable sites for oyster reef restoration, is flexible in its use, and provides a mechanism for considering alternative approaches. The end product is a practical decision-support tool that can be used by coastal resource managers to improve oyster restoration efforts. As oyster reef restoration activities continue at small and large-scales, site selection criteria are critical for assisting stakeholders and managers and for maximizing long-term sustainability of oyster resources.

  20. C*-index of observable algebras in G-spin model

    Institute of Scientific and Technical Information of China (English)

    JIANG; Lining

    2005-01-01

    In two-dimensional lattice spin systems in which the spins take values in a finite group G,one can define a field algebra F which carries an action of a Hopf algebra D(G),the double algebra of G and moreover,an action of D(G; H),which is a subalgebra of D(G) determined by a subgroup H of G,so that F becomes a modular algebra.The concrete construction of D(G; H)-invariant subspace AH in F is given.By constructing the quasi-basis of conditional expectation γG of AH onto AG,the C*-index of γG is exactly the index of H in G.

  1. Index structures for selective dissemination of information under the Boolean model

    Energy Technology Data Exchange (ETDEWEB)

    Yan, T.W.; Garcia-Molina, H. [Stanford Univ., CA (United States)

    1994-06-01

    The number, size, and user population of bibliographic and full-text document databases are rapidly growing. With a high document arrival rate, it becomes essential for users of such databases to have access to the very latest documents; yet the high document arrival rate also makes it difficult for users to keep themselves updated. It is desirable to allow users to submit profiles, i.e., queries that are constantly evaluated, so that they will be automatically informed of new additions that may be of interest. Such service is traditionally called Selective Dissemination of Information (SDI). The high document arrival rate, the huge number of users, and the timeliness requirement of the service pose a challenge in achieving efficient SDI. In this article, we propose several index structures for indexing profiles and algorithms that efficiently match documents against large number of profiles. We also present analysis and simulation results to compare their performance under different scenarios. 18 refs., 14 figs., 2 tabs.

  2. Hybrid Power Forecasting Model for Photovoltaic Plants Based on Neural Network with Air Quality Index

    OpenAIRE

    Idris Khan; Honglu Zhu; Jianxi Yao; Danish Khan; Tahir Iqbal

    2017-01-01

    High concentration of greenhouse gases in the atmosphere has increased dependency on photovoltaic (PV) power, but its random nature poses a challenge for system operators to precisely predict and forecast PV power. The conventional forecasting methods were accurate for clean weather. But when the PV plants worked under heavy haze, the radiation is negatively impacted and thus reducing PV power; therefore, to deal with haze weather, Air Quality Index (AQI) is introduced as a parameter to predi...

  3. A Fuzzy Neural Network Based on Non-Euclidean Distance Clustering for Quality Index Model in Slashing Process

    Directory of Open Access Journals (Sweden)

    Yuxian Zhang

    2015-01-01

    Full Text Available The quality index model in slashing process is difficult to build by reason of the outliers and noise data from original data. To the above problem, a fuzzy neural network based on non-Euclidean distance clustering is proposed in which the input space is partitioned into many local regions by the fuzzy clustering based on non-Euclidean distance so that the computation complexity is decreased, and fuzzy rule number is determined by validity function based on both the separation and the compactness among clusterings. Then, the premise parameters and consequent parameters are trained by hybrid learning algorithm. The parameters identification is realized; meanwhile the convergence condition of consequent parameters is obtained by Lyapunov function. Finally, the proposed method is applied to build the quality index model in slashing process in which the experimental data come from the actual slashing process. The experiment results show that the proposed fuzzy neural network for quality index model has lower computation complexity and faster convergence time, comparing with GP-FNN, BPNN, and RBFNN.

  4. 基于LCMV的MQRD-SMI自适应波束形成算法%A Mixed QR decomposition SMI Algorithm Based on LCMV

    Institute of Scientific and Technical Information of China (English)

    冯地耘; 陈立万

    2006-01-01

    在QRD-SMI算法的基础上,提出了一种不需要前向和后向代入而能全速/并行得到实时权向量W的一种混合型QRD-SMI算法(MQRD-SMI),并给出其易于硬件并行实现的Systolic阵结构.该算法能完全克服QRD-SMI算法并行性和实时性欠佳的缺点,能做到真正意义上的实时并行权向量抽取.仿真结果和分析验证了该算法的有效性和实时性.

  5. Ultrasonoghy of Neovascularization in Carotid Atherosclerotic Plaque with SMI%颈动脉斑块微血管超声成像

    Institute of Scientific and Technical Information of China (English)

    金玉明; 洪桂荣

    2015-01-01

    目的 探讨利用微血管成像(SMI)检测颈动脉斑块内新生微血管的临床价值.方法 对62例颈动脉斑块患者做SMI成像与超声造影(CEUS)对比研究,比较斑块内新生血管检出率.结果 2级斑块,两种方法检出率无明显差别;1级斑块,SMI检出率较超声造影低.结论 超声造影对颈动脉斑块内新生微血管检出率较高,SMI成像可作为初步评估2级斑块稳定性的方法.

  6. Modelling a quantitative ensilability index adapted to forages from wet temperate areas

    Energy Technology Data Exchange (ETDEWEB)

    Martinez-Fernandez, A.; Soldado, A.; Roza-Delgado, B. de la; Vicente, F.; Gonzalez-Arrojo, M. A.; Argamenteria, A.

    2013-06-01

    Forage ensilability mainly depends on dry matter (DM), water soluble carbohydrates (WSC) and buffer capacity (BC) values at harvest time. According to these parameters, and based on a collection of 208 forages of known ensilability characteristics including short and long term meadows for grazing, italian ryegrass, maize, triticale, soybean, faba bean crops, and samples coming from cereal-legume associations, the objective of this study has been to define a quantitative ensilability index (EI) based on a relationship between DM, WSC and BC contents at harvest date, adapted to the characteristics of fodder from wet temperate areas. For this purpose, a discriminant procedure was used to define this EI based on a linear combination of DM, WSC and BC of forages at harvest time. The quantitative calculated indexes distinguish five successive ranges of ensilability: high ensilability (EI > +28), medium high ensilability (+9 < EI . +28), medium ensilability (.28 < EI . +9), medium low ensilability (-47 {<=} EI {<=}-28) and low ensilability (EI < .47). This quantitative index was externally evaluated and 100% of samples were successfully classified. (Author) 28 refs.

  7. Red tide optical index: in situ optics and remote sensing models

    Science.gov (United States)

    Cetinic, I.; Karp-Boss, L.; Boss, E.; Ragan, M. A.; Jones, B. H.

    2007-05-01

    Harmful Algal Blooms (HABs) are recurring events in the coastal ocean, and local economies that depend on beach and coastal use are often adversely affected by these events. Inherent optical properties (absorption and backscattering) of the HAB dinoflagellate Lingulodinium polyedrum were measured in order to develop specific index that would enable easier detection of this HAB organism in the field. It has been noticed that red to blue and red to green ratio of absorption in this species is much lower then other measured species. A red tide ratio was tested in the field during a red tide episode in the San Pedro Channel, using a Wetlabs acS flow-through system. The red tide index gave a distinguishable signal in areas where L.polyedrum was present. Remote sensing reflectance was calculated from field and laboratory IOP measurements, using reverse Quasi-Analythical Alghoritm and Hydrolight to evaluate if the red tide index can be detected in the remote sensing ocean color measurements.

  8. Indexing Executive Compensation Contracts

    NARCIS (Netherlands)

    I. Dittmann (Ingolf); E.G. Maug (Ernst); O.G. Spalt (Oliver)

    2013-01-01

    textabstractWe analyze the efficiency of indexing executive pay by calibrating the standard model of executive compensation to a large sample of US CEOs. The benefits from linking the strike price of stock options to an index are small and fully indexing all options would increase compensation costs

  9. Effect of ketamine combined with fluoxetine on behavior indexes and related gene expression in depression rat model

    Institute of Scientific and Technical Information of China (English)

    Xiang Yuan; Bin Zhang

    2015-01-01

    Objective:To study the effect of ketamine combined with fluoxetine on behavior indexes and related gene expression in depression rat model.Methods:SD rats were used as experimental animals and randomly divided into control group (C group), model group (M group), ketamine group (K group), fluoxetine group (F group) and ketamine combined with fluoxetine group (KF group); chronic unpredictable stress depression models were built and different medications were given. Then behavior indicators were detected by tail suspension test and open field test; contents of monoamine neurotransmitters were determined by HPLC-electrochemical detection assay; mRNA contents of monoamine neurotransmitter-metabolizing enzymes, BDNF and its receptor were detected by PCR method.Results: (1)behavior indexes: compared with M group, behavior indexes of K group, F group and KF group were all improved; tail suspension immobility time and central grid staying time of KF group were shorter than those of K group and F group; squares crossed number, standing up number and decoration number were more than those of K group and F group; (2) molecular indexes: compared with M group, molecular markers of K group, F group and KF group were all improved; NE, 5-HT, TH, TPH, BDNF and TrkB contents in hippocampal and prefrontal cortex tissue of KF group were higher than those of K group and F group.Conclusion:Ketamine combined with fluoxetine therapy can more effectively reduce depression-related behavior; its mechanism may be related to the regulation of monoamine neurotransmitter metabolism and brain-derived neurotrophic factor expression in hippocampus and prefrontal cortex.

  10. A multi-model and multi-index evaluation of drought characteristics in the 21st century

    Science.gov (United States)

    Touma, Danielle; Ashfaq, Moetasim; Nayak, Munir A.; Kao, Shih-Chieh; Diffenbaugh, Noah S.

    2015-07-01

    Drought is a natural hazard that can have severe and long-lasting impacts on natural and human systems. Although increases in global greenhouse forcing are expected to change the characteristics and impacts of drought in the 21st century, there remains persistent uncertainty about how changes in temperature, precipitation and soil moisture will interact to shape the magnitude - and in some cases direction - of drought in different areas of the globe. Using data from 15 global climate models archived in the Coupled Model Intercomparison Project (CMIP5), we assess the likelihood of changes in the spatial extent, duration and number of occurrences of four drought indices: the Standardized Precipitation Index (SPI), the Standardized Runoff Index (SRI), the Standardized Precipitation-Evapotranspiration Index (SPEI) and the Supply-Demand Drought Index (SDDI). We compare these characteristics in two future periods (2010-2054 and 2055-2099) of the Representative Concentration Pathway 8.5 (RCP8.5). We find increases from the baseline period (1961-2005) in the spatial extent, duration and occurrence of "exceptional" drought in subtropical and tropical regions, with many regions showing an increase in both the occurrence and duration. There is strong agreement on the sign of these changes among the individual climate models, although some regions do exhibit substantial uncertainty in the magnitude of change. The changes in SPEI and SDDI characteristics are stronger than the changes in SPI and SRI due to the greater influence of temperature changes in the SPEI and SDDI indices. In particular, we see a robust permanent emergence of the spatial extent of SDDI from the baseline variability in West, East and Saharan Africa as early as 2020 and by 2080 in several other subtropical and tropical regions. The increasing likelihood of exceptional drought identified in our results suggests increasing risk of drought-related stresses for natural and human systems should greenhouse gas

  11. Naturally occurring radioactivity in some Swedish concretes and their constituents - Assessment by using I-index and dose-model.

    Science.gov (United States)

    Döse, M; Silfwerbrand, J; Jelinek, C; Trägårdh, J; Isaksson, M

    2016-05-01

    The reference level for effective dose due to gamma radiation from building materials and construction products used for dwellings is set to 1 mSv per year (EC, 1996, 1999), (CE, 2014). Given the specific conditions presented by the EC in report 112 (1999) considering building and construction materials, an I-index of 1 may generate an effective dose of 1 mSv per year. This paper presents a comparison of the activity concentrations of (4)(0)K, (226)Ra and (232)Th of aggregates and when these aggregates constitute a part of concrete. The activity concentration assessment tool for building and construction materials, the I-index, introduced by the EC in 1996, is used in the comparison. A comparison of the I-indices values are also made with a recently presented dose model by Hoffman (2014), where density variations of the construction material and thickness of the construction walls within the building are considered. There was a ∼16-19% lower activity index in concretes than in the corresponding aggregates. The model by Hoffman further implies that the differences between the I-indices of aggregates and the concretes' final effective doses are even larger. The difference is due, mainly to a dilution effect of the added cement with low levels of natural radioisotopes, but also to a different and slightly higher subtracted background value (terrestrial value) used in the modeled calculation of the revised I-index by Hoffman (2014). Only very minimal contributions to the annual dose could be related to the water and additives used, due to their very low content of radionuclides reported.

  12. Indexing Images.

    Science.gov (United States)

    Rasmussen, Edie M.

    1997-01-01

    Focuses on access to digital image collections by means of manual and automatic indexing. Contains six sections: (1) Studies of Image Systems and their Use; (2) Approaches to Indexing Images; (3) Image Attributes; (4) Concept-Based Indexing; (5) Content-Based Indexing; and (6) Browsing in Image Retrieval. Contains 105 references. (AEF)

  13. Underlying Dynamics of Typical Fluctuations of an Emerging Market Price Index: The Heston Model from Minutes to Months

    CERN Document Server

    Vicente, R; Leite, V B P; Caticha, N; Vicente, Renato; Toledo, Charles M. de; Leite, Vitor B.P.; Caticha, Nestor

    2006-01-01

    We investigate the Heston model with stochastic volatility and exponential tails as a model for the typical price fluctuations of the Brazilian S\\~ao Paulo Stock Exchange Index (IBOVESPA). Raw prices are first corrected for inflation and a period spanning 15 years characterized by memoryless returns is chosen for the analysis. Model parameters are estimated by observing volatility scaling and correlation properties. We show that the Heston model with at least two time scales for the volatility mean reverting dynamics satisfactorily describes price fluctuations ranging from time scales larger than 20 minutes to 160 days. At time scales shorter than 20 minutes we observe autocorrelated returns and power law tails incompatible with the Heston model. Despite major regulatory changes, hyperinflation and currency crises experienced by the Brazilian market in the period studied, the general success of the description provided may be regarded as an evidence for a general underlying dynamics of price fluctuations at i...

  14. Determining the refractive index of human hemoglobin solutions by Kramers-Kronig relations with an improved absorption model.

    Science.gov (United States)

    Gienger, Jonas; Groß, Hermann; Neukammer, Jörg; Bär, Markus

    2016-11-01

    The real part of the refractive index of aqueous solutions of human hemoglobin is computed from their absorption spectra in the wavelength range 250-1100 nm using the Kramers-Kronig (KK) relations, and the corresponding uncertainty analysis is provided. The strong ultraviolet (UV) and infrared absorbance of the water outside this spectral range were taken into account in a previous study employing KK relations. We improve these results by including the concentration dependence of the water absorbance as well as by modeling the deep UV absorbance of hemoglobin's peptide backbone. The two free parameters of the model for the deep UV absorbance are fixed by a global fit.

  15. A comparison of portfolio selection models via application on ISE 100 index data

    Science.gov (United States)

    Altun, Emrah; Tatlidil, Hüseyin

    2013-10-01

    Markowitz Model, a classical approach to portfolio optimization problem, relies on two important assumptions: the expected return is multivariate normally distributed and the investor is risk averter. But this model has not been extensively used in finance. Empirical results show that it is very hard to solve large scale portfolio optimization problems with Mean-Variance (M-V)model. Alternative model, Mean Absolute Deviation (MAD) model which is proposed by Konno and Yamazaki [7] has been used to remove most of difficulties of Markowitz Mean-Variance model. MAD model don't need to assume that the probability of the rates of return is normally distributed and based on Linear Programming. Another alternative portfolio model is Mean-Lower Semi Absolute Deviation (M-LSAD), which is proposed by Speranza [3]. We will compare these models to determine which model gives more appropriate solution to investors.

  16. A shale rock physics model for analysis of brittleness index, mineralogy and porosity in the Barnett Shale

    Science.gov (United States)

    Guo, Zhiqi; Li, Xiang-Yang; Liu, Cai; Feng, Xuan; Shen, Ye

    2013-04-01

    We construct a rock physics workflow to link the elastic properties of shales to complex constituents and specific microstructure attributes. The key feature in our rock physics model is the degrees of preferred orientation of clay and kerogen particles defined by the proportions of such particles in their total content. The self-consistent approximation method and Backus averaging method are used to consider the isotropic distribution and preferred orientation of compositions and pores in shales. Using the core and well log data from the Barnett Shale, we demonstrate the application of the constructed templates for the evaluation of porosity, lithology and brittleness index. Then, we investigate the brittleness index defined in terms of mineralogy and geomechanical properties. The results show that as clay content increases, Poisson's ratio tends to increase and Young's modulus tends to decrease. Moreover, we find that Poisson's ratio is more sensitive to the variation in the texture of shales resulting from the preferred orientation of clay particles. Finally, based on the constructed rock physics model, we calculate AVO responses from the top and bottom of the Barnett Shale, and the results indicate predictable trends for the variations in porosity, lithology and brittleness index in shales.

  17. Cumulative Impact Evaluation in Central Part of Liepaja with Comulative Pollution Index Method and Air Pollution Dispersion Modelling

    Directory of Open Access Journals (Sweden)

    Kalniņš Viesturs

    2015-07-01

    Full Text Available Cumulative impact evaluation is one of the most actual problems in air quality monitoring. At the same time, it is also the most problematic factor to evaluate due to lack of appropriate methodology. The aim of this study was to assess the opportunity to use a new method – Cumulative Pollution Index (CPI in cumulative impact calculation from two different sets of data – bioindication survey with Index of Atmospheric Purity method and air pollution dispersion modelling. Results show that the usage of modelling data, instead of measurements, in cumulative impact evaluation can be quite difficult due to the fact that dispersion models not always give sufficiently accurate data. Despite the issues with modelling specifics, the use of dispersion modelling in CPI calculation shows that the use of this approach not only gives plausible data – obtained values correlate with pollution level and forming strong clustering in spatial distribution, but also reveals new facts about cumulative impact – demonstrates the city microclimate importance in forming of cumulative effect due to geometry of street canyons.

  18. Modeling a habitat suitability index for the eastern fall cohort of Ommastrephes bartramii in the central North Pacific Ocean

    Institute of Scientific and Technical Information of China (English)

    CHEN Xinjun; TIAN Siquan; LIU Bilin; CHEN Yong

    2011-01-01

    The eastern fall cohort of the neon flying squid, Ommastrephes bartramii, has been commercially exploited by the Chinese squid jigging fleet in the central North Pacific Ocean since the late 1990s. To understand and identify their optimal habitat, we have developed a habitat suitability index (HSI) model using two potential important environmental variables - sea surface temperature (SST) and sea surface height anomaly (SSHA) - and fishery data from the main fishing ground (165°-180°E) during June and July of 1999-2003. A geometric mean model (GMM), minimum model (MM) and arithmetic weighted model (AWM) with different weights were compared and the best HSI model was selected using Akaike's information criterion (AIC). The performance of the developed HSI model was evaluated using fishery data for 2004. This study suggests that the highest catch per unit effort (CPUE) and fishing effort are closely related to SST and SSHA. The best SST- and SSHA-based suitability index (SI) regression models were SISST-bsed = 0.7SIeffort-SST + 0.3 SICPUE-SST, and SISSHA-based = 0.5SIeffon-SSHA + 0.5SICP,UE-SSHA,respectively, showing that fishing effort is more important than CPUE in the estimation of SI. The bestHSI model was the AWM, defined as HSI=0.3SISST-based+ 0.7SISSHA-based, indicating that SSHA is moreimportant than SST in estimating the HSI of squid. In 2004, monthly HSI values greater than 0.6 coincidedwith the distribution of productive fishing ground and high CPUE in June and July, suggesting that themodels perform well. The proposed model provides an important tool in our efforts to develop forecastingcapacity of squid spatial dynamics.

  19. Flash flood susceptibility analysis and its mapping using different bivariate models in Iran: a comparison between Shannon(')s entropy, statistical index, and weighting factor models.

    Science.gov (United States)

    Khosravi, Khabat; Pourghasemi, Hamid Reza; Chapi, Kamran; Bahri, Masoumeh

    2016-12-01

    Flooding is a very common worldwide natural hazard causing large-scale casualties every year; Iran is not immune to this thread as well. Comprehensive flood susceptibility mapping is very important to reduce losses of lives and properties. Thus, the aim of this study is to map susceptibility to flooding by different bivariate statistical methods including Shannon's entropy (SE), statistical index (SI), and weighting factor (Wf). In this regard, model performance evaluation is also carried out in Haraz Watershed, Mazandaran Province, Iran. In the first step, 211 flood locations were identified by the documentary sources and field inventories, of which 70% (151 positions) were used for flood susceptibility modeling and 30% (60 positions) for evaluation and verification of the model. In the second step, ten influential factors in flooding were chosen, namely slope angle, plan curvature, altitude, topographic wetness index (TWI), stream power index (SPI), distance from river, rainfall, geology, land use, and normalized difference vegetation index (NDVI). In the next step, flood susceptibility maps were prepared by these four methods in ArcGIS. As the last step, receiver operating characteristic (ROC) curve was drawn and the area under the curve (AUC) was calculated for quantitative assessment of each model. The results showed that the best model to estimate the susceptibility to flooding in Haraz Watershed was SI model with the prediction and success rates of 99.71 and 98.72%, respectively, followed by Wf and SE models with the AUC values of 98.1 and 96.57% for the success rate, and 97.6 and 92.42% for the prediction rate, respectively. In the SI and Wf models, the highest and lowest important parameters were the distance from river and geology. Flood susceptibility maps are informative for managers and decision makers in Haraz Watershed in order to contemplate measures to reduce human and financial losses.

  20. Two-dimensional Model of Ciliwung River Flood in DKI Jakarta for Development of the Regional Flood Index Map

    Directory of Open Access Journals (Sweden)

    Adam Formánek

    2013-12-01

    Full Text Available The objective of this study was to present a sophisticated method of developing supporting material for flood control implementation in DKI Jakarta. High flow rates in the Ciliwung River flowing through Jakarta regularly causes extensive flooding in the rainy season. The affected area comprises highly densely populated villages. For developing an efficient early warning system in view of decreasing the vulnerability of the locations a flood index map has to be available. This study analyses the development of a flood risk map of the inundation area based on a two-dimensional modeling using FESWMS. The reference event used for the model was the most recent significant flood in 2007. The resulting solution represents flood characteristics such as inundation area, inundation depth and flow velocity. Model verification was performed by confrontation of the results with survey data. The model solution was overlaid with a street map of Jakarta. Finally, alternatives for flood mitigation measures are discussed.

  1. Matching Index-of-Refraction for 3D Printing Model Using Mixture of Herb Essential Oil and Light Mineral Oil

    Energy Technology Data Exchange (ETDEWEB)

    Song, Min Seop; Choi, Hae Yoon; Kim, Eung Soo [Seoul National Univ., Seoul (Korea, Republic of)

    2013-10-15

    This study has extensively investigated the emerging 3-D printing technologies for use of MIR-based flow field visualization methods such as PIV and LDV. As a result, mixture of Herb essential oil and light mineral oil has been evaluated to be great working fluid due to its adequate properties. Using this combination, the RIs between 1.45 and 1.55 can be accurately matched, and most of the transparent materials are found to be ranged in here. Conclusively, the proposed MIR method are expected to provide large flexibility of model materials and geometries for laser based optical measurements. Particle Image Velocimetry (PIV) and Laser Doppler Velocimetry (LDV) are the two major optical technologies used for flow field visualization in the latest fundamental thermal-hydraulics researches. Those techniques seriously require minimizing optical distortions for enabling high quality data. Therefore, matching index of refraction (MIR) between model materials and working fluids are an essential part of minimizing measurement uncertainty. This paper proposes to use 3-D Printing technology for manufacturing models for the MIR-based optical measurements. Because of the large flexibility in geometries and materials of the 3-D Printing, its application is obviously expected to provide tremendous advantages over the traditional MIR-based optical measurements. This study focuses on the 3-D printing models and investigates their optical properties, transparent printing techniques, and index-matching fluids.

  2. Three-index symmetric matter representations of SU(2) in F-theory from non-Tate form Weierstrass models

    Science.gov (United States)

    Klevers, Denis; Taylor, Washington

    2016-06-01

    We give an explicit construction of a class of F-theory models with matter in the three-index symmetric (4) representation of SU(2). This matter is realized at codimen-sion two loci in the F-theory base where the divisor carrying the gauge group is singular; the associated Weierstrass model does not have the form associated with a generic SU(2) Tate model. For 6D theories, the matter is localized at a triple point singularity of arithmetic genus g = 3 in the curve supporting the SU(2) group. This is the first explicit realization of matter in F-theory in a representation corresponding to a genus contribution greater than one. The construction is realized by "unHiggsing" a model with a U(1) gauge factor under which there is matter with charge q = 3. The resulting SU(2) models can be further unHiggsed to realize non-Abelian G 2 × SU(2) models with more conventional matter content or SU(2)3 models with trifundamental matter. The U(1) models used as the basis for this construction do not seem to have a Weierstrass realization in the general form found by Morrison-Park, suggesting that a generalization of that form may be needed to incorporate models with arbitrary matter representations and gauge groups localized on singular divisors.

  3. Three-index symmetric matter representations of SU(2) in F-theory from non-Tate form Weierstrass models

    Energy Technology Data Exchange (ETDEWEB)

    Klevers, Denis [Theoretical Physics Department, CERN,CH-1211 Geneva 23 (Switzerland); Taylor, Washington [Center for Theoretical Physics, Department of Physics, Massachusetts Institute of Technology,77 Massachusetts Avenue Cambridge, MA 02139 (United States)

    2016-06-29

    We give an explicit construction of a class of F-theory models with matter in the three-index symmetric (4) representation of SU(2). This matter is realized at codimension two loci in the F-theory base where the divisor carrying the gauge group is singular; the associated Weierstrass model does not have the form associated with a generic SU(2) Tate model. For 6D theories, the matter is localized at a triple point singularity of arithmetic genus g=3 in the curve supporting the SU(2) group. This is the first explicit realization of matter in F-theory in a representation corresponding to a genus contribution greater than one. The construction is realized by “unHiggsing” a model with a U(1) gauge factor under which there is matter with charge q=3. The resulting SU(2) models can be further unHiggsed to realize non-Abelian G{sub 2}×SU(2) models with more conventional matter content or SU(2){sup 3} models with trifundamental matter. The U(1) models used as the basis for this construction do not seem to have a Weierstrass realization in the general form found by Morrison-Park, suggesting that a generalization of that form may be needed to incorporate models with arbitrary matter representations and gauge groups localized on singular divisors.

  4. New diagnostic index for sarcopenia in patients with cardiovascular diseases.

    Science.gov (United States)

    Harada, Haruhito; Kai, Hisashi; Shibata, Rei; Niiyama, Hiroshi; Nishiyama, Yasuhiro; Murohara, Toyoaki; Yoshida, Noriko; Katoh, Atsushi; Ikeda, Hisao

    2017-01-01

    Sarcopenia is an aging and disease-related syndrome characterized by progressive and generalized loss of skeletal muscle mass and strength, with the risk of frailty and poor quality of life. Sarcopenia is diagnosed by a decrease in skeletal muscle index (SMI) and reduction of either handgrip strength or gait speed. However, measurement of SMI is difficult for general physicians because it requires special equipment for bioelectrical impedance assay or dual-energy X-ray absorptiometry. The purpose of this study was, therefore, to explore a novel, simple diagnostic method of sarcopenia evaluation in patients with cardiovascular diseases (CVD). We retrospectively investigated 132 inpatients with CVD (age: 72±12 years, age range: 27-93 years, males: 61%) Binomial logistic regression and correlation analyses were used to assess the associations of sarcopenia with simple physical data and biomarkers, including muscle-related inflammation makers and nutritional markers. Sarcopenia was present in 29.5% of the study population. Serum concentrations of adiponectin and sialic acid were significantly higher in sarcopenic than non-sarcopenic CVD patients. Stepwise multivariate binomial logistic regression analysis revealed that adiponectin, sialic acid, sex, age, and body mass index were independent factors for sarcopenia detection. Sarcopenia index, obtained from the diagnostic regression formula for sarcopenia detection including the five independent factors, indicated a high accuracy in ROC curve analysis (sensitivity 94.9%, specificity 69.9%) and the cutoff value for sarcopenia detection was -1.6134. Sarcopenia index had a significant correlation with the conventional diagnostic parameters of sarcopenia. Our new sarcopenia index using simple parameters would be useful for diagnosing sarcopenia in CVD patients.

  5. Detecting small lung tumors in mouse models by refractive-index microradiology

    Energy Technology Data Exchange (ETDEWEB)

    Chien, Chia-Chi; Hwu, Y. [Academia Sinica, Institute of Physics, Taipei (China); National Tsing Hua University, Department of Engineering and System Science, Hsinchu (China); Zhang, Guilin; Yue, Weisheng; Li, Yan; Xue, Hongjie [Chinese Academy of Sciences, Shanghai Institute of Applied Physics, Shanghai (China); Liu, Ping; Sun, Jianqi; Xu, Lisa X. [Shanghai Jiao Tong University, Shanghai (China); Wang, Chang Hai; Chen, Nanyow; Lu, Chien Hung; Lee, Ting-Kuo [Academia Sinica, Institute of Physics, Taipei (China); Yang, Yuh-Cheng; Lu, Yen-Ta [Mackay Memorial Hospital, Taipei City (China); Ching, Yu-Tai [National Chiao Tung University, Department of Computer Science, Hsinchu (China); Shih, T.F.; Yang, P.C. [National Taiwan University, College of Medicine, Taipei (China); Je, J.H. [Pohang University of Science and Technology Pohang, X-ray Imaging Center, Pohang CT, Kyungbuk (Korea, Republic of); Margaritondo, G. [Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne (Switzerland)

    2011-08-15

    Refractive-index (phase-contrast) radiology was able to detect lung tumors less than 1 mm in live mice. Significant micromorphology differences were observed in the microradiographs between normal, inflamed, and lung cancer tissues. This was made possible by the high phase contrast and by the fast image taking that reduces the motion blur. The detection of cancer and inflammation areas by phase contrast microradiology and microtomography was validated by bioluminescence and histopathological analysis. The smallest tumor detected is less than 1 mm{sup 3} with accuracy better than 1 x 10{sup -3} mm{sup 3}. This level of performance is currently suitable for animal studies, while further developments are required for clinical application. (orig.)

  6. Indexing Density Models for Incremental Learning and Anytime Classification on Data Streams

    DEFF Research Database (Denmark)

    Seidl, Thomas; Assent, Ira; Kranen, Philipp

    2009-01-01

    Classification of streaming data faces three basic challenges: it has to deal with huge amounts of data, the varying time between two stream data items must be used best possible (anytime classification) and additional training data must be incrementally learned (anytime learning) for applying...... the classifier consistently to fast data streams. In this work, we propose a novel index-based technique that can handle all three of the above challenges using the established Bayes classifier on effective kernel density estimators. Our novel Bayes tree automatically generates (adapted efficiently...... point of interruption. Moreover, we propose a novel evaluation method for anytime classification using Poisson streams and demonstrate the anytime learning performance of the Bayes tree....

  7. Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation.

    Science.gov (United States)

    Zajac, Zuzanna; Stith, Bradley; Bowling, Andrea C; Langtimm, Catherine A; Swain, Eric D

    2015-07-01

    Habitat suitability index (HSI) models are commonly used to predict habitat quality and species distributions and are used to develop biological surveys, assess reserve and management priorities, and anticipate possible change under different management or climate change scenarios. Important management decisions may be based on model results, often without a clear understanding of the level of uncertainty associated with model outputs. We present an integrated methodology to assess the propagation of uncertainty from both inputs and structure of the HSI models on model outputs (uncertainty analysis: UA) and relative importance of uncertain model inputs and their interactions on the model output uncertainty (global sensitivity analysis: GSA). We illustrate the GSA/UA framework using simulated hydrology input data from a hydrodynamic model representing sea level changes and HSI models for two species of submerged aquatic vegetation (SAV) in southwest Everglades National Park: Vallisneria americana (tape grass) and Halodule wrightii (shoal grass). We found considerable spatial variation in uncertainty for both species, but distributions of HSI scores still allowed discrimination of sites with good versus poor conditions. Ranking of input parameter sensitivities also varied spatially for both species, with high habitat quality sites showing higher sensitivity to different parameters than low-quality sites. HSI models may be especially useful when species distribution data are unavailable, providing means of exploiting widely available environmental datasets to model past, current, and future habitat conditions. The GSA/UA approach provides a general method for better understanding HSI model dynamics, the spatial and temporal variation in uncertainties, and the parameters that contribute most to model uncertainty. Including an uncertainty and sensitivity analysis in modeling efforts as part of the decision-making framework will result in better-informed, more robust

  8. Evaluation of habitat suitability index models by global sensitivity and uncertainty analyses: a case study for submerged aquatic vegetation

    Science.gov (United States)

    Zajac, Zuzanna; Stith, Bradley M.; Bowling, Andrea C.; Langtimm, Catherine A.; Swain, Eric D.

    2015-01-01

    Habitat suitability index (HSI) models are commonly used to predict habitat quality and species distributions and are used to develop biological surveys, assess reserve and management priorities, and anticipate possible change under different management or climate change scenarios. Important management decisions may be based on model results, often without a clear understanding of the level of uncertainty associated with model outputs. We present an integrated methodology to assess the propagation of uncertainty from both inputs and structure of the HSI models on model outputs (uncertainty analysis: UA) and relative importance of uncertain model inputs and their interactions on the model output uncertainty (global sensitivity analysis: GSA). We illustrate the GSA/UA framework using simulated hydrology input data from a hydrodynamic model representing sea level changes and HSI models for two species of submerged aquatic vegetation (SAV) in southwest Everglades National Park: Vallisneria americana (tape grass) and Halodule wrightii (shoal grass). We found considerable spatial variation in uncertainty for both species, but distributions of HSI scores still allowed discrimination of sites with good versus poor conditions. Ranking of input parameter sensitivities also varied spatially for both species, with high habitat quality sites showing higher sensitivity to different parameters than low-quality sites. HSI models may be especially useful when species distribution data are unavailable, providing means of exploiting widely available environmental datasets to model past, current, and future habitat conditions. The GSA/UA approach provides a general method for better understanding HSI model dynamics, the spatial and temporal variation in uncertainties, and the parameters that contribute most to model uncertainty. Including an uncertainty and sensitivity analysis in modeling efforts as part of the decision-making framework will result in better-informed, more robust

  9. Development of AHPDST Vulnerability Indexing Model for Groundwater Vulnerability Assessment Using Hydrogeophysical Derived Parameters and GIS Application

    Science.gov (United States)

    Mogaji, K. A.

    2017-04-01

    Producing a bias-free vulnerability assessment map model is significantly needed for planning a scheme of groundwater quality protection. This study developed a GIS-based AHPDST vulnerability index model for producing groundwater vulnerability model map in the hard rock terrain, Nigeria by exploiting the potentials of analytic hierarchy process (AHP) and Dempster-Shafer theory (DST) data mining models. The acquired borehole and geophysical data in the study area were processed to derive five groundwater vulnerability conditioning factors (GVCFs), namely recharge rate, aquifer transmissivity, hydraulic conductivity, transverse resistance and longitudinal conductance. The produced GVCFs' thematic maps were multi-criterially analyzed by employing the mechanisms of AHP and DST models to determine the normalized weight ( W) parameter for the GVCFs and mass function factors (MFFs) parameter for the GVCFs' thematic maps' class boundaries, respectively. Based on the application of the weighted linear average technique, the determined W and MFFs parameters were synthesized to develop groundwater vulnerability potential index (GVPI)-based AHPDST model algorithm. The developed model was applied to establish four GVPI mass/belief function indices. The estimates based on the applied GVPI belief function indices were processed in GIS environment to create prospective groundwater vulnerability potential index maps. The most representative of the resulting vulnerability maps (the GVPIBel map) was considered for producing the groundwater vulnerability potential zones (GVPZ) map for the area. The produced GVPZ map established 48 and 52% of the areal extent to be covered by the lows/moderate and highs vulnerable zones, respectively. The success and the prediction rates of the produced GVPZ map were determined using the relative operating characteristics technique to give 82.3 and 77.7%, respectively. The analyzed results reveal that the developed GVPI-based AHPDST model algorithm is

  10. Development of AHPDST Vulnerability Indexing Model for Groundwater Vulnerability Assessment Using Hydrogeophysical Derived Parameters and GIS Application

    Science.gov (United States)

    Mogaji, K. A.

    2017-02-01

    Producing a bias-free vulnerability assessment map model is significantly needed for planning a scheme of groundwater quality protection. This study developed a GIS-based AHPDST vulnerability index model for producing groundwater vulnerability model map in the hard rock terrain, Nigeria by exploiting the potentials of analytic hierarchy process (AHP) and Dempster-Shafer theory (DST) data mining models. The acquired borehole and geophysical data in the study area were processed to derive five groundwater vulnerability conditioning factors (GVCFs), namely recharge rate, aquifer transmissivity, hydraulic conductivity, transverse resistance and longitudinal conductance. The produced GVCFs' thematic maps were multi-criterially analyzed by employing the mechanisms of AHP and DST models to determine the normalized weight (W) parameter for the GVCFs and mass function factors (MFFs) parameter for the GVCFs' thematic maps' class boundaries, respectively. Based on the application of the weighted linear average technique, the determined W and MFFs parameters were synthesized to develop groundwater vulnerability potential index (GVPI)-based AHPDST model algorithm. The developed model was applied to establish four GVPI mass/belief function indices. The estimates based on the applied GVPI belief function indices were processed in GIS environment to create prospective groundwater vulnerability potential index maps. The most representative of the resulting vulnerability maps (the GVPIBel map) was considered for producing the groundwater vulnerability potential zones (GVPZ) map for the area. The produced GVPZ map established 48 and 52% of the areal extent to be covered by the lows/moderate and highs vulnerable zones, respectively. The success and the prediction rates of the produced GVPZ map were determined using the relative operating characteristics technique to give 82.3 and 77.7%, respectively. The analyzed results reveal that the developed GVPI-based AHPDST model algorithm is

  11. Underlying dynamics of typical fluctuations of an emerging market price index: The Heston model from minutes to months

    Science.gov (United States)

    Vicente, Renato; de Toledo, Charles M.; Leite, Vitor B. P.; Caticha, Nestor

    2006-02-01

    We investigate the Heston model with stochastic volatility and exponential tails as a model for the typical price fluctuations of the Brazilian São Paulo Stock Exchange Index (IBOVESPA). Raw prices are first corrected for inflation and a period spanning 15 years characterized by memoryless returns is chosen for the analysis. Model parameters are estimated by observing volatility scaling and correlation properties. We show that the Heston model with at least two time scales for the volatility mean reverting dynamics satisfactorily describes price fluctuations ranging from time scales larger than 20 min to 160 days. At time scales shorter than 20 min we observe autocorrelated returns and power law tails incompatible with the Heston model. Despite major regulatory changes, hyperinflation and currency crises experienced by the Brazilian market in the period studied, the general success of the description provided may be regarded as an evidence for a general underlying dynamics of price fluctuations at intermediate mesoeconomic time scales well approximated by the Heston model. We also notice that the connection between the Heston model and Ehrenfest urn models could be exploited for bringing new insights into the microeconomic market mechanics.

  12. Three-Index Symmetric Matter Representations of SU(2) in F-Theory from Non-Tate Form Weierstrass Models

    CERN Document Server

    Klevers, Denis

    2016-01-01

    We give an explicit construction of a class of F-theory models with matter in the three-index symmetric (4) representation of SU(2). This matter is realized at codimension two loci in the F-theory base where the divisor carrying the gauge group is singular; the associated Weierstrass model does not have the form associated with a generic SU(2) Tate model. For 6D theories, the matter is localized at a triple point singularity of arithmetic genus g=3 in the curve supporting the SU(2) group. This is the first explicit realization of matter in F-theory in a representation corresponding to a genus contribution greater than one. The construction is realized by "unHiggsing" a model with a U(1) gauge factor under which there is matter with charge q=3. The resulting SU(2) models can be further unHiggsed to realize non-Abelian G_2xSU(2) models with more conventional matter content or SU(2)^3 models with trifundamental matter. The U(1) models used as the basis for this construction do not seem to have a Weierstrass real...

  13. A step-indexed Kripke model of hidden state via recursive properties on recursively defined metric spaces

    DEFF Research Database (Denmark)

    Schwinghammer, Jan; Birkedal, Lars; Støvring, Kristian

    2011-01-01

    Frame and anti-frame rules have been proposed as proof rules for modular reasoning about programs. Frame rules allow one to hide irrelevant parts of the state during verification, whereas the anti-frame rule allows one to hide local state from the context. We give the first sound model for Chargu...... the model to account for Pottier’s generalized frame and anti-frame rules, where invariants are generalized to families of invariants indexed over pre-orders. This generalization enables reasoning about some well-bracketed as well as (locally) monotonic uses of local state.......Frame and anti-frame rules have been proposed as proof rules for modular reasoning about programs. Frame rules allow one to hide irrelevant parts of the state during verification, whereas the anti-frame rule allows one to hide local state from the context. We give the first sound model for Chargu...

  14. Analisis Saham Syariah Efisien dengan Pendekatan Shari’a Compliant Asset Pricing Model (SCAPM pada Jakarta Islamic Index (JII

    Directory of Open Access Journals (Sweden)

    Zainul Hasan Quthbi

    2017-10-01

    Artikel ini bermaksud untuk menganalisis saham syariah yang tergolong efisien untuk keputusan investasi dengan menggunakan SCAPM (Shari’a Compliant Asset Pricing Model. SCAPM adalah bentuk modifikasi dari CAPM (Capital Asset Pricing Model yang bertujuan agar kerangka model analisis masih dalam kerangka syariah. Teknik pengumpulan data adalah dokumentasi dari data yang bersifat sekunder. Digunakan 13 sampel saham syariah pada penelitian ini dengan kriteria saham syariah yang konsisten masuk pada JII (Jakarta Islamic Index periode penelitian Desember 2013 hingga November 2016 dan memiliki pengembalian saham individual positif. Hasil dari penelitian menunjukkan terdapat 9 saham syariah yang tergolong efisien dan 4 sisanya tidak efisien. Saham PT. Adaro Energy memiliki nilai RVAR terbesar yang berarti memiliki kinerja saham paling baik.

  15. Models for estimating the metabolic syndrome biological age as the new index for evaluation and management of metabolic syndrome

    Science.gov (United States)

    Kang, Young Gon; Suh, Eunkyung; Chun, Hyejin; Kim, Sun-Hyun; Kim, Deog Ki; Bae, Chul-Young

    2017-01-01

    Purpose This study aims to propose a metabolic syndrome (MS) biological age model, through which overall evaluation and management of the health status and aging state in MS can be done easily. Through this model, we hope to provide a novel evaluation and management health index that can be utilized in various health care fields. Patient and methods MS parameters from American Heart Association/National Heart, Lung, and Blood Institute guidelines in 2005 were used as biomarkers for the estimation of MS biological age. MS biological age model development was done by analyzing data of 263,828 participants and clinical application of the developed MS biological age was assessed by analyzing the data of 188,886 subjects. Results The principal component accounted for 36.1% in male and 38.9% in female of the total variance in the battery of five variables. The correlation coefficient between corrected biological age and chronological age in males and females were 0.711 and 0.737, respectively. Significant difference for mean MS biological age and chronological age between the three groups, normal, at risk and MS, was seen (P<0.001). Conclusion For the comprehensive approach in MS management, MS biological age is expected to be additionally utilized as a novel evaluation and management index along with the traditional MS diagnosis. PMID:28203066

  16. Modeling of Yield Estimation for The Main Crops in Iran Based on Mechanization Index (hp ha-1

    Directory of Open Access Journals (Sweden)

    K Abbasi

    2014-09-01

    Full Text Available Agricultural mechanization is a method for transiting from traditional agriculture towards industrial and sustainable one. Due to the limitation of natural resources and increasing population we need to have economical production of agricultural crops. For reaching this destination; agricultural mechanization has a remarkable role. So it is necessary to have an extensive view for mechanization, because with the help of mechanization the agricultural inputs such as seeds, fertilizer and even water and soil can effectively be managed for an economical and sustainable production. This study has been carried out in many provinces of Iran. The data of agricultural tractors and cereal combine harvesters were firstly gathered by means of questionnaire. The tractors were categorized in four power levels of less than 45, 45 to 80, 80 to 110, and more than 110 hp. In addition, it was also carried out for cereal combine harvesters; it was in three power levels, i.e. between 100 to 110, 110 to 155 and 155 to 210 horse-power in 3 ages, i.e. less than 13, between 13 to 20, and more than 20 years. Information regarding to cultivation areas, production volume, and yield of main crops gathered from statistics of Ministry of Jihad-e-Agriculture. Then agriculture mechanization level index (hp ha-1 in each province was calculated. Four main crops including irrigated and rain-fed wheat and irrigated and rain-fed barley, which met the required criteria to be used in the model, were statistically analyzed. Correlation analysis was carried out in order to get an effective model between yield of the four main crops in Iran and agriculture mechanization level index. Pearson correlation index showed that there is a direct and significant correlation between these variables. Subsequently, outliers were identified in order to get a model with necessary efficiency to predict the yield through mechanization level index, by scatter diagram and estimating regression lines in 1

  17. A drought hazard assessment index based on the VIC-PDSI model and its application on the Loess Plateau, China

    Science.gov (United States)

    Zhang, Baoqing; Wu, Pute; Zhao, Xining; Wang, Yubao; Gao, Xiaodong; Cao, Xinchun

    2013-10-01

    Drought is a complex natural hazard that is poorly understood and difficult to assess. This paper describes a VIC-PDSI model approach to understanding drought in which the Variable Infiltration Capacity (VIC) Model was combined with the Palmer Drought Severity Index (PDSI). Simulated results obtained using the VIC model were used to replace the output of the more conventional two-layer bucket-type model for hydrological accounting, and a two-class-based procedure for calibrating the characteristic climate coefficient ( K j ) was introduced to allow for a more reliable computation of the PDSI. The VIC-PDSI model was used in conjunction with GIS technology to create a new drought assessment index (DAI) that provides a comprehensive overview of drought duration, intensity, frequency, and spatial extent. This new index was applied to drought hazard assessment across six subregions of the whole Loess Plateau. The results show that the DAI over the whole Loess Plateau ranged between 11 and 26 (the greater value of the DAI means the more severe of the drought hazard level). The drought hazards in the upper reaches of Yellow River were more severe than that in the middle reaches. The drought prone regions over the study area were mainly concentrated in Inner Mongolian small rivers, Zuli and Qingshui Rivers basin, while the drought hazards in the drainage area between Hekouzhen-Longmen and Weihe River basin were relatively mild during 1971-2010. The most serious drought vulnerabilities were associated with the area around Lanzhou, Zhongning, and Yinchuan, where the development of water-saving irrigation is the most direct and effective way to defend against and reduce losses from drought. For the relatively humid regions, it will be necessary to establish the rainwater harvesting systems, which could help to relieve the risk of water shortage and guarantee regional food security. Due to the DAI considers the multiple characteristic of drought duration, intensity, frequency

  18. Habitat suitability index model for mountain goats (Oreamnos kennedyi Elliot) in coastal southcentral Alaska

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This preliminary descriptive model applies only to mountain goats that inhabit the coastal-facing slopes that support forests of Sitka spruce (Picea sitchensis)...

  19. Habitat suitability index model for moose (Alces alces) on the Kenai peninsula

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This descriptive model applies only to moose on the Kenai Peninsula and was specifically developed for use in the evaluation of potential impacts on moose resulting...

  20. Comparison of the Marine Index of Refraction Structure Parameter, C2n, Model with Optical Measurements

    Science.gov (United States)

    1980-12-01

    models by comparing model results to optical measurements made over Monterey Bay off the Central California coast of the U.S. Commanding Officer COPY...FPO SAN FRANCISCO 96654 OFFICER IN CHARGE NAVOCEANCOM OET MONTEREY, CA 93940 COMMANDING OFFICER OFFICE OF NAVAL RESEARCH EASTERN/ CENTRAL ...TECHNICIAN CITY, HAIFA ISRAEL 32000 INSTITUTO OE GEOFISICA U.N.A.M. BIBLIOTECA TORRE DE CIENCIAS, 3ER PISO CIUDAD UNIVERSITARIA MEXICO 20, D.F

  1. Torus mandibularis varlığında kısmi dişsiz bir hastanın protetik rehabilitasyonu: olgu sunumu

    Directory of Open Access Journals (Sweden)

    Arife Dogan

    2011-10-01

    Full Text Available

    The torus mandibularis is the one of the most common intraoral exostoses. It is often bilateral, occurs at the canin to premolar region on the lingual aspect of the mandible. It has been reported that the factors such as genetic and environmental factors, masticator hiperfunction, nutrition, race and ethnic groups might play role in occurence of them. Such type of bony protuberances may present many challenges when fabricating a removable partial or complete

    dentures. In this case report, after a general knowledge about mandibular tori, the prosthetic rehabilitation of a partially edentulous patient had bilaterally mandibular tori has been presented.

    ÖZET

    Torus mandibularis ağız içinde en sık görülen eksostoz türlerinden biridir. Genellikle, mandibulanın lingual yüzeyinde, kanin ve premolar bölgesinde yerleşim göstermesiyle karakterizedir. Etyolojisinde kalıtım, çevresel faktörler, artmış çiğneme fonksiyonu, beslenme, ırk ve etnik grup farklılıklarının etkili olduğu düşünülmektedir. Bu tür kemik büyümeleri hareketli parsiyel veya tam protez yapımında güçlüklere neden olabilir. Bu olgu sunumunda kısmi dişsiz ve çift taraflı mandibular torusa sahip bir hastanın protetik tedavisi bildirilmiş ve toruslar hakkında genel bilgi verilmiştir.

    Anahtar sözcükler: Torus mandibularis, kısmi dişsiz hasta

  2. Meaning in life in the Federal Republic of Germany: results of a representative survey with the Schedule for Meaning in Life Evaluation (SMiLE

    Directory of Open Access Journals (Sweden)

    Bausewein Claudia

    2007-11-01

    Full Text Available Abstract Background The construct "meaning-in-life" (MiL has recently raised the interest of clinicians working in psycho-oncology and end-of-life care and has become a topic of scientific investigation. Difficulties regarding the measurement of MiL are related to the various theoretical and conceptual approaches and its inter-individual variability. Therefore the "Schedule for Meaning in Life Evaluation" (SMiLE, an individualized instrument for the assessment of MiL, was developed. The aim of this study was to evaluate MiL in a representative sample of the German population. Methods In the SMiLE, the respondents first indicate a minimum of three and maximum of seven areas which provide meaning to their life before rating their current level of importance and satisfaction of each area. Indices of total weighting (IoW, range 20–100, total satisfaction (IoS, range 0–100, and total weighted satisfaction (IoWS, range 0–100 are calculated. Results In July 2005, 1,004 Germans were randomly selected and interviewed (inclusion rate, 85.3%. 3,521 areas of MiL were listed and assigned to 13 a-posteriori categories. The mean IoS was 81.9 ± 15.1, the mean IoW was 84.6 ± 11.9, and the mean IoWS was 82.9 ± 14.8. In youth (16–19 y/o, "friends" were most important for MiL, in young adulthood (20–29 y/o "partnership", in middle adulthood (30–39 y/o "work", during retirement (60–69 y/o "health" and "altruism", and in advanced age (70 y/o and more "spirituality/religion" and "nature experience/animals". Conclusion This study is a first nationwide survey on individual MiL in a randomly selected, representative sample. The MiL areas of the age stages seem to correspond with Erikson's stages of psychosocial development.

  3. A remotely sensed index of deforestation/urbanization for use in climate models

    Science.gov (United States)

    Gillies, Robert R.; Carlson, Toby N.

    1995-01-01

    The object of this research is to use indirect measurements, notably thermal infrared, to describe urbanization and deforestation with parameters that can be used to assess, as well as predict, the effects of land use changes on local microclimate. More specifically, we use a new approach for the treatment of remotely sensed data; this is referred to as the 'triangle' method. The name triangle is given because the envelope of data points, when plotted as a function of surface radiant temperature versus vegetation index or fractional vegetation cover, exhibits the shape of a triangle. From the information contained on these 'scatter plots', land use changes can be related to two intrinsic surface variables, the surface moisture availability (M(sub 0))(sup 1) and fractional vegetation cover. Recent work by Carlson et al. indicate that the triangle shape on the scatter plots may be scale similar, suggesting that these two parameters are subject to the same interpretation on differing scales. A second objective in this research is to determine if historical data for Advanced Very High Resolution Radiometer (AVHRR) (NOAA satellite; 1.1 km resolution at nadir) can be used to assess changes in regional land use over time. To this end, two target areas were chosen for the investigation of urbanization and two for deforestation. The former comprise tow areas in Pennsylvania, one a small but rapidly growing population center (State College) and the other a medium-sized urban area which continues to undergo development (Chester County). The two deforestation sites consist of rain forest areas in western and central Costa Rica and a region in the Brazilian Amazon.

  4. Detection of Severe Respiratory Disease Epidemic Outbreaks by CUSUM-Based Overcrowd-Severe-Respiratory-Disease-Index Model

    Directory of Open Access Journals (Sweden)

    Carlos Polanco

    2013-01-01

    Full Text Available A severe respiratory disease epidemic outbreak correlates with a high demand of specific supplies and specialized personnel to hold it back in a wide region or set of regions; these supplies would be beds, storage areas, hemodynamic monitors, and mechanical ventilators, as well as physicians, respiratory technicians, and specialized nurses. We describe an online cumulative sum based model named Overcrowd-Severe-Respiratory-Disease-Index based on the Modified Overcrowd Index that simultaneously monitors and informs the demand of those supplies and personnel in a healthcare network generating early warnings of severe respiratory disease epidemic outbreaks through the interpretation of such variables. A post hoc historical archive is generated, helping physicians in charge to improve the transit and future allocation of supplies in the entire hospital network during the outbreak. The model was thoroughly verified in a virtual scenario, generating multiple epidemic outbreaks in a 6-year span for a 13-hospital network. When it was superimposed over the H1N1 influenza outbreak census (2008–2010 taken by the National Institute of Medical Sciences and Nutrition Salvador Zubiran in Mexico City, it showed that it is an effective algorithm to notify early warnings of severe respiratory disease epidemic outbreaks with a minimal rate of false alerts.

  5. Predicting the effects of proposed Mississippi River diversions on oyster habitat quality; application of an oyster habitat suitability index model

    Science.gov (United States)

    Soniat, Thomas M.; Conzelmann, Craig P.; Byrd, Jason D.; Roszell, Dustin P.; Bridevaux, Joshua L.; Suir, Kevin J.; Colley, Susan B.

    2013-01-01

    In an attempt to decelerate the rate of coastal erosion and wetland loss, and protect human communities, the state of Louisiana developed its Comprehensive Master Plan for a Sustainable Coast. The master plan proposes a combination of restoration efforts including shoreline protection, marsh creation, sediment diversions, and ridge, barrier island, and hydrological restoration. Coastal restoration projects, particularly the large-scale diversions of fresh water from the Mississippi River, needed to supply sediment to an eroding coast potentially impact oyster populations and oyster habitat. An oyster habitat suitability index model is presented that evaluates the effects of a proposed sediment and freshwater diversion into Lower Breton Sound. Voluminous freshwater, needed to suspend and broadly distribute river sediment, will push optimal salinities for oysters seaward and beyond many of the existing reefs. Implementation and operation of the Lower Breton Sound diversion structure as proposed would render about 6,173 ha of hard bottom immediately east of the Mississippi River unsuitable for the sustained cultivation of oysters. If historical harvests are to be maintained in this region, a massive and unprecedented effort to relocate private leases and restore oyster bottoms would be required. Habitat suitability index model results indicate that the appropriate location for such efforts are to the east and north of the Mississippi River Gulf Outlet.

  6. Detection of severe respiratory disease epidemic outbreaks by CUSUM-based overcrowd-severe-respiratory-disease-index model.

    Science.gov (United States)

    Polanco, Carlos; Castañón-González, Jorge Alberto; Macías, Alejandro E; Samaniego, José Lino; Buhse, Thomas; Villanueva-Martínez, Sebastián

    2013-01-01

    A severe respiratory disease epidemic outbreak correlates with a high demand of specific supplies and specialized personnel to hold it back in a wide region or set of regions; these supplies would be beds, storage areas, hemodynamic monitors, and mechanical ventilators, as well as physicians, respiratory technicians, and specialized nurses. We describe an online cumulative sum based model named Overcrowd-Severe-Respiratory-Disease-Index based on the Modified Overcrowd Index that simultaneously monitors and informs the demand of those supplies and personnel in a healthcare network generating early warnings of severe respiratory disease epidemic outbreaks through the interpretation of such variables. A post hoc historical archive is generated, helping physicians in charge to improve the transit and future allocation of supplies in the entire hospital network during the outbreak. The model was thoroughly verified in a virtual scenario, generating multiple epidemic outbreaks in a 6-year span for a 13-hospital network. When it was superimposed over the H1N1 influenza outbreak census (2008-2010) taken by the National Institute of Medical Sciences and Nutrition Salvador Zubiran in Mexico City, it showed that it is an effective algorithm to notify early warnings of severe respiratory disease epidemic outbreaks with a minimal rate of false alerts.

  7. Detection of serum markers and pulmonary fibrosis indexes in COPD rat model intervened by Fagopyrum dibotrys extract

    Institute of Scientific and Technical Information of China (English)

    Wan-Li Fan

    2015-01-01

    Objective:To study the effect ofFagopyrum dibotrys extract on serum markers and pulmonary fibrosis indexes in COPD rat model.Methods: Adult male SD rats were selected, COPD models were made by smoking method andFagopyrum dibotrys extract was given for treatment. After treatment, macroeconomic indicators and molecular markers of pulmonary fibrosis as well as serum inflammation related molecules were detected.Results:(1) pulmonary fibrosis: Compared with the control group, airway resistance, intrathoracic pressure as well as Col I, Col III, TGFβ and Smad3 contents of the model group increased, and dynamic lung compliance as well as AQP1 and AQP5 contents decreased; compared with the model group, airway resistance, intrathoracic pressure as well as Col I, Col III, TGFβ and Smad3 contents of the treatment group decreased, and dynamic lung compliance as well as AQP1 and AQP5 contents increased; (2) serum indicators: Compared with the control group, serum INF-γ, CXCR3, IL-17, PCT and LTB4 contents of model group significantly increased; compared with the model group, serum INF-γ, CXCR3, IL-17, PCT and LTB4 contents of the treatment group significantly decreased.Conclusion:Fagopyrum dibotrys extract intervention can improve pulmonary fibrosis and relieve the degrees of inflammation; it is an ideal drug for the treatment of COPD.

  8. Modeling resistance index of taxoids to MCF-7 cell lines using ANN together with electrotopological state descriptors

    Institute of Scientific and Technical Information of China (English)

    Pei-pei DONG; Yan-yan ZHANG; Guang-bo GE; Chun-zhi AI; Yong LIU; Ling YANG; Chang-xiao LIU

    2008-01-01

    Aim:To develop an artificial neural network model for predicting the resistance index (RI) of taxoids.Methods:A dataset of 63 experimental data points were compiled from published studies and randomly subdivided into training and exter-nal test sets.Electrotopological state (E-state) indices were calculated to charac-terize molecular structure together with a principle component analysis to reduce the variable space and analyze the relative importance of E-state indices.Back propagation neural network technique was used to build the models.Five-fold cross-validation was performed and 5 models with different compound composi-tion in training and validation sets were built.The independent external test set was used to evaluate the predictive ability of models.Results:The final model proved to be good with the cross-validation Q2cv0.62,external testing R2 0.84,and the slope of the regression line through the origin for the testing set at 0.9933.Conclusion:The quantitative structure-activity relationship model can predict the RI to a relative nicety,which will aid in the development of new anti-multidrug resistance taxoids.

  9. Assessing Cognitive and Affective Empathy Through the Interpersonal Reactivity Index: An Argument Against a Two-Factor Model.

    Science.gov (United States)

    Chrysikou, Evangelia G; Thompson, W Jake

    2016-12-01

    One aspect of higher order social cognition is empathy, a psychological construct comprising a cognitive (recognizing emotions) and an affective (responding to emotions) component. The complex nature of empathy complicates the accurate measurement of these components. The most widely used measure of empathy is the Interpersonal Reactivity Index (IRI). However, the factor structure of the IRI as it is predominantly used in the psychological literature differs from Davis's original four-factor model in that it arbitrarily combines the subscales to form two factors: cognitive and affective empathy. This two-factor model of the IRI, although popular, has yet to be examined for psychometric support. In the current study, we examine, for the first time, the validity of this alternative model. A confirmatory factor analysis showed poor model fit for this two-factor structure. Additional analyses offered support for the original four-factor model, as well as a hierarchical model for the scale. In line with previous findings, females scored higher on the IRI than males. Our findings indicate that the IRI, as it is currently used in the literature, does not accurately measure cognitive and affective empathy and highlight the advantages of using the original four-factor structure of the scale for empathy assessments. © The Author(s) 2015.

  10. Improved Eddy-current Field Loss Model and Scaling Index for Magnets of Permanent Magnet Synchronous Motors

    Directory of Open Access Journals (Sweden)

    Zhang Lei

    2015-01-01

    Full Text Available The paper gives detailed systematic researches on the mechanism and key factors of eddy-current losses in rotor magnets of high power-density permanent magnet synchronous motors(PMSMs. Firstly, this paper establishes quantitative mathematic model of eddy-current losses for surface-mounted PMSM based on eddy current field model and Maxwell equations. Then, a scaling index is put forward to weigh the key factors relevant to the eddy-current losses in magnets. At the same time, the principles of eddy-current losses in prototype PMSM are analyzed by the finite element analysis (FEA software. The contents researched in the paper have practical reference values for design and reliability analysis of PMSMs.

  11. How Reliable are Models Based on Topological Index 3χv for the Prediction of Stability Constants?

    Directory of Open Access Journals (Sweden)

    Nenad Raos

    2016-06-01

    Full Text Available The theoretical models based on valence connectivity index of the 3rd order, 3χv, have been discussed in terms of their ability to predict stability of coordination compounds. The key factors for the success are: (1 the choice of reliable experimental data for the calibration of the model, (2 writing an appropriate constitutional formula (i.e. graph of the complex, and (3 development of proper form of regression function. If these requirements were met, it is possible to obtain theoretical results comensurable with the experimental ones, i.e. of the sufficient quality to evaluate experimental methods or to propose the best values for stability constants. This work is licensed under a Creative Commons Attribution 4.0 International License.

  12. Total Sensitivity Index Calculation of Tool Requirement Model via Error Propagation Equation

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    A new and convenient method is presented to calculate the total sensitivity indices defined by variance-based sensitivity analysis. By decomposing the output variance using error propagation equations, this method can transform the "double-loop" sampling procedure into "single-loop" one and obviously reduce the computation cost of analysis. In contrast with Sobol's and Fourier amplitude sensitivity test (FAST) method, which is limited in non-correlated variables, the new approach is suitable for correlated input variables. An application in semiconductor assembling and test manufacturing (ATM) factory indicates that this approach has a good performance in additive model and simple non-additive model.

  13. Modelling Socio-Economic Differences in the Mortality of Danish Males Using a New Affluence Index

    DEFF Research Database (Denmark)

    Cairns, Andrew J.G.; Kallestrup-Lamb, Malene; Rosenskjold, Carsten Paysen T.

    We investigate and model how the mortality of Danish males aged 55-94 has changed over the period 1985-2012. We divide the population into ten socio-economic subgroups using a new measure of affluence that combines wealth and income reported on the Statistics Denmark national register database...... possible without losing the essential character of the raw data. The model produces bio-demographically reasonable forecasts of mortality rates that preserve the sub-group rankings at all ages. It also satisfies reasonableness criteria related to the term structure of correlations across ages and over time...

  14. Seasonal variation of photosynthetic model parameters and leaf area index from global Fluxnet eddy covariance data

    NARCIS (Netherlands)

    Groenendijk, M.; Dolman, A.J.; Ammann, C.; Arneth, A.; Cescatti, A.; Molen, van der M.K.; Moors, E.J.

    2011-01-01

    Global vegetation models require the photosynthetic parameters, maximum carboxylation capacity (Vcm), and quantum yield (a) to parameterize their plant functional types (PFTs). The purpose of this work is to determine how much the scaling of the parameters from leaf to ecosystem level through a seas

  15. 基于综合指数法的中国汽车市场综合指数模型设计%Research of China Auto Market Composite Index Model Based on Comprehensive Index Method

    Institute of Scientific and Technical Information of China (English)

    吕小峰; 钱志新; 张晓春; 程萌

    2013-01-01

    运用综合指数法构建了中国汽车市场综合指数模型,并结合因子分析法和层次分析法,从定性和定量相结合的角度进行了指数模型的构建和计算,使得指数的编制和发布更加科学、合理。运用该指数可以有效地把握汽车市场的综合发展趋势,并能简单直观地识别高峰和低谷,具有一定的预警作用,相关研究成果在实践中得到了很好地应用和推广。%China auto market composite index model is created based on the comprehensive index method .The analytic hierarchy process and factor analysis method are synthesized , and the index model is designed based on the qualitative and quantitative method .The trend can be analyzed in the automotive market , and has a certain role in early warning .The improved methods and model will make the index calculation more meaningful and more scientific .

  16. A critical source area phosphorus index with topographic transport factors using high resolution LiDAR digital elevation models

    Science.gov (United States)

    Thomas, Ian; Murphy, Paul; Fenton, Owen; Shine, Oliver; Mellander, Per-Erik; Dunlop, Paul; Jordan, Phil

    2015-04-01

    A new phosphorus index (PI) tool is presented which aims to improve the identification of critical source areas (CSAs) of phosphorus (P) losses from agricultural land to surface waters. In a novel approach, the PI incorporates topographic indices rather than watercourse proximity as proxies for runoff risk, to account for the dominant control of topography on runoff-generating areas and P transport pathways. Runoff propensity and hydrological connectivity are modelled using the Topographic Wetness Index (TWI) and Network Index (NI) respectively, utilising high resolution digital elevation models (DEMs) derived from Light Detection and Ranging (LiDAR) to capture the influence of micro-topographic features on runoff pathways. Additionally, the PI attempts to improve risk estimates of particulate P losses by incorporating an erosion factor that accounts for fine-scale topographic variability within fields. Erosion risk is modelled using the Unit Stream Power Erosion Deposition (USPED) model, which integrates DEM-derived upslope contributing area and Universal Soil Loss Equation (USLE) factors. The PI was developed using field, sub-field and sub-catchment scale datasets of P source, mobilisation and transport factors, for four intensive agricultural catchments in Ireland representing different agri-environmental conditions. Datasets included soil test P concentrations, degree of P saturation, soil attributes, land use, artificial subsurface drainage locations, and 2 m resolution LiDAR DEMs resampled from 0.25 m resolution data. All factor datasets were integrated within a Geographical Information System (GIS) and rasterised to 2 m resolution. For each factor, values were categorised and assigned relative risk scores which ranked P loss potential. Total risk scores were calculated for each grid cell using a component formulation, which summed the products of weighted factor risk scores for runoff and erosion pathways. Results showed that the new PI was able to predict

  17. Surrogate markers of visceral adiposity in young adults: waist circumference and body mass index are more accurate than waist hip ratio, model of adipose distribution and visceral adiposity index.

    Directory of Open Access Journals (Sweden)

    Susana Borruel

    Full Text Available Surrogate indexes of visceral adiposity, a major risk factor for metabolic and cardiovascular disorders, are routinely used in clinical practice because objective measurements of visceral adiposity are expensive, may involve exposure to radiation, and their availability is limited. We compared several surrogate indexes of visceral adiposity with ultrasound assessment of subcutaneous and visceral adipose tissue depots in 99 young Caucasian adults, including 20 women without androgen excess, 53 women with polycystic ovary syndrome, and 26 men. Obesity was present in 7, 21, and 7 subjects, respectively. We obtained body mass index (BMI, waist circumference (WC, waist-hip ratio (WHR, model of adipose distribution (MOAD, visceral adiposity index (VAI, and ultrasound measurements of subcutaneous and visceral adipose tissue depots and hepatic steatosis. WC and BMI showed the strongest correlations with ultrasound measurements of visceral adiposity. Only WHR correlated with sex hormones. Linear stepwise regression models including VAI were only slightly stronger than models including BMI or WC in explaining the variability in the insulin sensitivity index (yet BMI and WC had higher individual standardized coefficients of regression, and these models were superior to those including WHR and MOAD. WC showed 0.94 (95% confidence interval 0.88-0.99 and BMI showed 0.91 (0.85-0.98 probability of identifying the presence of hepatic steatosis according to receiver operating characteristic curve analysis. In conclusion, WC and BMI not only the simplest to obtain, but are also the most accurate surrogate markers of visceral adiposity in young adults, and are good indicators of insulin resistance and powerful predictors of the presence of hepatic steatosis.

  18. Use of weather research and forecasting model outputs to obtain near-surface refractive index structure constant over the ocean.

    Science.gov (United States)

    Qing, Chun; Wu, Xiaoqing; Li, Xuebin; Zhu, Wenyue; Qiao, Chunhong; Rao, Ruizhong; Mei, Haipin

    2016-06-13

    The methods to obtain atmospheric refractive index structure constant (Cn2) by instrument measurement are limited spatially and temporally and they are more difficult and expensive over the ocean. It is useful to forecast Cn2 effectively from Weather Research and Forecasting Model (WRF) outputs. This paper introduces a method that WRF Model is used to forecast the routine meteorological parameters firstly, and then Cn2 is calculated based on these parameters by the Bulk model from the Monin-Obukhov similarity theory (MOST) over the ocean near-surface. The corresponding Cn2 values measured by the micro-thermometer which is placed on the ship are compared with the ones forecasted by WRF model to determine how this method performs. The result shows that the forecasted Cn2 is consistent with the measured Cn2 in trend and the order of magnitude as a whole, as well as the correlation coefficient is up to 77.57%. This method can forecast some essential aspects of Cn2 and almost always captures the correct magnitude of Cn2, which experiences fluctuations of two orders of magnitude. Thus, it seems to be a feasible and meaningful method that using WRF model to forecast near-surface Cn2 value over the ocean.

  19. The European customer satisfaction index model: an application to the international hotel

    OpenAIRE

    Şirvan Şen Demir

    2012-01-01

    The purposes of this study are (1) to analyze the influence of corporate image, customer expectations, perceived quality and value on customer satisfaction and (2) to examine the relationship between customer satisfaction and customer loyalty. Through conducting a face-to-face interview, a total of 381 questionnaires were collected from tourists who were citizens of countries in European Union and stayed at international five-star hotels in Istanbul and Ankara. Structural Equation Modelling (...

  20. Silent Myocardial Ischmia (SMI) and Microculation-Hemorheology%无症状性心肌缺血与微循环-血液流变学

    Institute of Scientific and Technical Information of China (English)

    高素环; 董仁寿

    2003-01-01

    目的通过67例无症状性心肌缺血(SMI)的血液流变学及微循环变化,探索SMI发病的病理生理,以及SMI治疗及预防的原则.方法将经过24h Hoher监测而诊断为SMI的患者,进行血液流变学及甲襞微循环检测,并将结果与同期收治的不稳定型心绞痛(UAP)46例作对比.结果SMI的血流变呈高粘、高聚、高凝状态,微血管管径变窄,流速变慢,各项指标均明显高于正常人(P<0.01).而与UAP对比,差异无明显性(P>0.05).结论血液的高粘滞状态,导致微循环障碍,是SMI发生的主要病理生理.改善血液粘滞性,活跃微循环,将提高SMI的治疗效果.定期监测,并及早处理血液粘稠性,有助于预防SMI的发生.

  1. Selective neurofilament (SMI-32, FNP-7 and N200) expression in subpopulations of layer V pyramidal neurons in vivo and in vitro.

    Science.gov (United States)

    Voelker, Courtney C J; Garin, Nathalie; Taylor, Jeremy S H; Gähwiler, Beat H; Hornung, Jean-Pierre; Molnár, Zoltán

    2004-11-01

    There are two main types of layer V pyramidal neurons in rat cortex. Type I neurons have tufted apical dendrites extending into layer I, produce bursts of action potentials and project to subcortical targets (spinal cord, superior colliculus and pontine nuclei). Type II neurons have apical dendrites, which arborize in layers II-IV, do not produce bursts of action potentials and project to ipsilateral and contralateral cortex. The specific expression of different genes and proteins in these two distinct layer V neurons is unknown. To distinguish between distinct subpopulations, fluorescent microspheres were injected into subcortical targets (labeling type I neurons) or primary somatosensory cortex (labeling type II neurons) of adult rats. After transport, cortical sections were processed for immunohistochemistry using various antibodies. This study demonstrated that antigens recognized by SMI-32, N200 and FNP-7 antibodies were only expressed in subcortical (type I)--but not in contralateral (type II)--projecting neurons. NR1, NR2a/b, PLCbeta1, BDNF, NGF and TrkB antigens were highly expressed in all neuronal subpopulations examined. Organotypic culture experiments demonstrated that the development of neurofilament expression and laminar specificity does not depend on the presence of the subcortical targets. This study suggests specific markers for the subcortical projecting layer V neuron subpopulations.

  2. Sequential application of ligand and structure based modeling approaches to index chemicals for their hH4R antagonism.

    Directory of Open Access Journals (Sweden)

    Matteo Pappalardo

    Full Text Available The human histamine H4 receptor (hH4R, a member of the G-protein coupled receptors (GPCR family, is an increasingly attractive drug target. It plays a key role in many cell pathways and many hH4R ligands are studied for the treatment of several inflammatory, allergic and autoimmune disorders, as well as for analgesic activity. Due to the challenging difficulties in the experimental elucidation of hH4R structure, virtual screening campaigns are normally run on homology based models. However, a wealth of information about the chemical properties of GPCR ligands has also accumulated over the last few years and an appropriate combination of these ligand-based knowledge with structure-based molecular modeling studies emerges as a promising strategy for computer-assisted drug design. Here, two chemoinformatics techniques, the Intelligent Learning Engine (ILE and Iterative Stochastic Elimination (ISE approach, were used to index chemicals for their hH4R bioactivity. An application of the prediction model on external test set composed of more than 160 hH4R antagonists picked from the chEMBL database gave enrichment factor of 16.4. A virtual high throughput screening on ZINC database was carried out, picking ∼ 4000 chemicals highly indexed as H4R antagonists' candidates. Next, a series of 3D models of hH4R were generated by molecular modeling and molecular dynamics simulations performed in fully atomistic lipid membranes. The efficacy of the hH4R 3D models in discrimination between actives and non-actives were checked and the 3D model with the best performance was chosen for further docking studies performed on the focused library. The output of these docking studies was a consensus library of 11 highly active scored drug candidates. Our findings suggest that a sequential combination of ligand-based chemoinformatics approaches with structure-based ones has the potential to improve the success rate in discovering new biologically active GPCR drugs and

  3. Impact of indexing resting metabolic rate against fat-free mass determined by different body composition models.

    Science.gov (United States)

    LaForgia, J; van der Ploeg, G E; Withers, R T; Gunn, S M; Brooks, A G; Chatterton, B E

    2004-08-01

    To examine the differences arising from indexing resting metabolic rate (RMR) against fat-free mass (FFM) determined using two-, three- and four-compartment body composition models. All RMR and body composition measurements were conducted on the same day for each subject following compliance with premeasurement protocols. Data were generated from measurements on 104 males (age 32.1+/-12.1 y (mean+/-s.d.); body mass 81.15+/-12.85 kg; height 179.5+/-6.5 cm; body fat 20.6+/-7.6%). Body density (BD), total body water (TBW) and bone mineral mass (BMM) were measured by hydrodensitometry, deuterium dilution and dual energy X-ray absorptiometry (DXA), respectively. These measures were used to determine two (hydrodensitometry: BD; hydrometry: TBW)-, three (BD and TBW)- and four- compartment (BD, TBW and BMM) FFM values. DXA also provided three compartment derived FFM values. RMR was measured using open circuit indirect calorimetry. Three (body fat group: lean, moderate, high) x five (body composition determination: hydrodensitometry, hydrometry, three-compartment, DXA, four-compartment) ANOVAs were conducted on FFM and RMR kJ.kg FFM(-1).d(-1). Within-group comparisons revealed that hydrodensitometry and DXA were associated with significant (P or =0.68) different from criterion values intraindividual differences were large (FFM: -1.5 to 2.9 kg; RMR: -6.0 to 3.2 kJ.kg FFM(-1).d(-1)). The relationship between RMR kJ.kg FFM(-1).d(-1) and exercise status would best be investigated using three (BD, TBW)- or four (BD, TBW, BMM)-compartment body composition models to determine FFM. Other models either significantly underestimate indexed RMR (hydrodensitometry, DXA) or display large intraindividual differences (hydrometry) compared with four-compartment derived criterion values. Australian Research Council (small grants scheme).

  4. Analysis of baseflow index based hydrological model in Upper Wei River basin on the Loess Plateau in China

    Science.gov (United States)

    Liu, D.; Chang, J.; Tian, F.; Huang, Q.; Meng, X.

    2015-05-01

    The baseflow is the drainage from the groundwater and soil water to the streamflow. As one important source of the streamflow, the baseflow could be the main source of the streamflow in the dry season. The Wei River, located in the semi-arid region of the Loess Plateau which is overlain by deep and loose soil, is the largest tributary of the Yellow River. According to former research, most of the streamflow in the dry season in the headwater of the Yellow River is baseflow. For the whole Yellow River basin, the baseflow is an important component of the streamflow, and accounts for about 44% of the annual runoff. Physically-based distributed hydrological models can simulate the runoff components separately, and are important tools to analyse the runoff components. Given the importance of the baseflow in the dry season for drought relief to support the ecological water requirement and irrigation, especially in the Wei River, the baseflow is analysed in this study. To investigate the baseflow in the Upper Wei River basin, a semi-distributed hydrological model based on a Representative Elementary Watershed approach (THREW) is employed to investigate the runoff generation process. To compare the results, an automatic baseflow separation method proposed by Arnold is used to separate the baseflow from the daily streamflow at Beidao hydrological station in Upper Wei River basin from 2001 to 2004. Based on the hydrological modelling and the Arnold separation method, the average annual baseflow index, i.e. the ratio of baseflow to the total runoff, is estimated as in the range of 0.30-0.36. The average intra-annual monthly baseflow index represents the seasonality of the baseflow due to the seasonality of the precipitation and evapotranspiration, and is also analysed.

  5. Particular Matrix in the Study of the Index Hour Mathematical Model

    Directory of Open Access Journals (Sweden)

    Mihaela Poienar

    2014-09-01

    Full Text Available The three phase transformer clock hour figure mathematical model can be conceived in his regular form as a 3X3 square matrix, called matrix code, or as a matrix equation, called code equation and is conceived through the elementary matrices: Ma, Mb, Mc or by defining matrices: M100, M10, M1. The code equation expression is dependent on the definition function: the sgn function or the trivalent variable function. Interrelated with the two possibilities are shown, defined and explained the following particular matrix: transfer matrix T. Finally are presented the interrelation between these particular matrixes and highlighted the possibilities of exploitation.

  6. The index of ideality of correlation: A criterion of predictability of QSAR models for skin permeability?

    Science.gov (United States)

    Toropova, Alla P; Toropov, Andrey A

    2017-05-15

    New criterion of the predictive potential of quantitative structure-property/activity relationships (QSPRs/QSARs) is suggested. This criterion is calculated with utilization of the correlation coefficient between experimental and calculated values of endpoint for the calibration set, with taking into account the positive and negative dispersions between experimental and calculated values. The utilization of this criterion improves the predictive potential of QSAR models of dermal permeability coefficient, logKp (cm/h). Copyright © 2017 Elsevier B.V. All rights reserved.

  7. Analysis of the three-dimensional tongue shape using a three-index factor analysis model

    Science.gov (United States)

    Zheng, Yanli; Hasegawa-Johnson, Mark; Pizza, Shamala

    2003-01-01

    Three-dimensional tongue shape during vowel production is analyzed using the three-mode PARAFAC (parallel factors) model. Three-dimensional MRI images of five speakers (9 vowels) are analyzed. Sixty-five virtual fleshpoints (13 segments along the rostral-caudal dimension and 5 segments along the right-left direction) are chosen based on the interpolated tongue shape images. Methods used to adjust the alignment of MRI images, to set up the fleshpoints, and to measure the position of the fleshpoints are presented. PARAFAC analysis of this 3D coordinate data results in a stable two-factor solution that explains about 70% of the variance.

  8. GeoIRIS: Geospatial Information Retrieval and Indexing System-Content Mining, Semantics Modeling, and Complex Queries.

    Science.gov (United States)

    Shyu, Chi-Ren; Klaric, Matt; Scott, Grant J; Barb, Adrian S; Davis, Curt H; Palaniappan, Kannappan

    2007-04-01

    Searching for relevant knowledge across heterogeneous geospatial databases requires an extensive knowledge of the semantic meaning of images, a keen eye for visual patterns, and efficient strategies for collecting and analyzing data with minimal human intervention. In this paper, we present our recently developed content-based multimodal Geospatial Information Retrieval and Indexing System (GeoIRIS) which includes automatic feature extraction, visual content mining from large-scale image databases, and high-dimensional database indexing for fast retrieval. Using these underpinnings, we have developed techniques for complex queries that merge information from heterogeneous geospatial databases, retrievals of objects based on shape and visual characteristics, analysis of multiobject relationships for the retrieval of objects in specific spatial configurations, and semantic models to link low-level image features with high-level visual descriptors. GeoIRIS brings this diverse set of technologies together into a coherent system with an aim of allowing image analysts to more rapidly identify relevant imagery. GeoIRIS is able to answer analysts' questions in seconds, such as "given a query image, show me database satellite images that have similar objects and spatial relationship that are within a certain radius of a landmark."

  9. ACCURACY ANALYSIS OF WRIGHT'S CAPABILITY INDEX "CS" AND MODELLING NON-NORMAL DATA USING STATISTICAL SOFTWARE-A COMPARATIVE STUDY

    Directory of Open Access Journals (Sweden)

    Yerriswamy Wooluru

    2015-06-01

    Full Text Available Process Capability Indices (PCI has been widely used as a means of summarizing process performance relative to set of specification limits. The proper use of process capability indices are based on some assumptions which may not be true always. Therefore, sometime whether the process capability indices can truly reflect the performance of a process is questionable. Most of PCIs, including Cp, Cpk, Cpm and Cpmk, neglect the changes in the shape of the distribution, which is an important indicator of problems in skewness-prone processes. Wright proposed a process capability index 'Cs' to detect shape changes in a process due to skewness by incorporating a penalty for skewness. In this paper, the effect of skewness on assessment of accuracy of Wright's capability index Cs is studied and comparison is made with Cp, Cpk, Cpm and Cpmk indices when the distribution of the quality characteristic (spring force considered is skewed slightly. This paper also discusses how modelling the non normal data using statistical software and results were compared with other methods.

  10. Study on subdivision index model for scene-based RS data%遥感分景数据的剖分索引模型

    Institute of Scientific and Technical Information of China (English)

    谭亚平; 程承旗; 耿晓晖

    2012-01-01

    With the rapid development of space technology and earth observation technology, modern remote sensing technology has been able to provide worldwide observed data collected in many means in a dynamic, fast and accurate manner. In this stage, remote sensing data increase rapidly accordingly, and how to manage and retrieve these data efficiently has become a major issue in both academic and application areas. Global Subdivision System opens up new avenues for solution to this problem. This peper studies the characteristics of scene-based remote sensing data and the features of the EMD Global Subdivision Model, and then in regard to the disadvantages of the existing index methods for remote sensing data, three index models are put forward based on the EMD Global Subdivision Model: an index model based on the mapping relationships of images and meshes, an index model based on EMD data model and an index model for global subdivision data identifiers. These three index models explore the solution to the issue in three aspects. And an application example is given to create the index of linear objects and planar objects by use of the scene-based RS data subdivision index model. This study mainly addresses the following aspects. (1) This research studies the characteristics of scene-based remote sensing data and the features of the EMD Global Subdivision Model, as well as the map- ping relationships and corresponding criteria between them. (2) In regard to the lack of space-time recording capabilities in the current storage and index methods for remote sens- ing data, an index model based on the mapping relationships of images and meshes is put forward. (3) In regard to the lack of support for multi-scale data of the current index models for remote sensing data, an index model based on EMD data model is established. (4) In regard to the lack of a unified index framework for multi-source remote sensing data, an index model for global subdivision data

  11. Société Musicale Indépendante – SMI, sua fundação, sua bandeira e o testemunho da imprensa especializada em torno de sua primeira temporada artística

    Directory of Open Access Journals (Sweden)

    Danieli Verônica Longo Benedetti

    2015-06-01

    Full Text Available O presente artigo, segmento de pesquisa de Pós-Doutorado sediada no Departamento de Música da ECA/USP e amparada pela FAPESP, pretende traçar o histórico da Société Musicale Indépendante – SMI, sociedade musical francesa criada em 1909 por um grupo de compositores entre os quais Maurice Ravel, Charles Koechlin e Florent Schmitt, cujo principal objetivo foi promover a música contemporânea sem distinção de escola e nacionalidade. Fundamentado em material coletado no acervo privado de Charles Koechlin e da Bibliothèque nationale de France-BnF o texto pretende ainda uma reflexão sobre a primeira temporada artística da SMI por meio do testemunho da crítica especializada publicado por importantes órgãos de imprensa da época.

  12. A statistical human rib cage geometry model accounting for variations by age, sex, stature and body mass index.

    Science.gov (United States)

    Shi, Xiangnan; Cao, Libo; Reed, Matthew P; Rupp, Jonathan D; Hoff, Carrie N; Hu, Jingwen

    2014-07-18

    In this study, we developed a statistical rib cage geometry model accounting for variations by age, sex, stature and body mass index (BMI). Thorax CT scans were obtained from 89 subjects approximately evenly distributed among 8 age groups and both sexes. Threshold-based CT image segmentation was performed to extract the rib geometries, and a total of 464 landmarks on the left side of each subject׳s ribcage were collected to describe the size and shape of the rib cage as well as the cross-sectional geometry of each rib. Principal component analysis and multivariate regression analysis were conducted to predict rib cage geometry as a function of age, sex, stature, and BMI, all of which showed strong effects on rib cage geometry. Except for BMI, all parameters also showed significant effects on rib cross-sectional area using a linear mixed model. This statistical rib cage geometry model can serve as a geometric basis for developing a parametric human thorax finite element model for quantifying effects from different human attributes on thoracic injury risks.

  13. Modelling body mass index and endometrial cancer risk in a pooled-analysis of three case-control studies.

    Science.gov (United States)

    Rota, M; Rumi, F; Bagnardi, V; Dal Maso, L; Zucchetto, A; Levi, F; La Vecchia, C; Tavani, A

    2016-01-01

    To quantify the relation between body mass index (BMI) and endometrial cancer risk, and to describe the shape of such a relation. Pooled analysis of three hospital-based case-control studies. Italy and Switzerland. A total of 1449 women with endometrial cancer and 3811 controls. Multivariate odds ratios (OR) and 95% confidence intervals (95% CI) were obtained from logistic regression models. The shape of the relation was determined using a class of flexible regression models. The relation of BMI with endometrial cancer. Compared with women with BMI 18.5 to BMI ≥35 kg/m(2) . The odds ratios were 1.10 (95% CI 1.09-1.12) and 1.63 (95% CI 1.52-1.75) respectively for an increment of BMI of 1 and 5 units. The relation was stronger in never-users of oral contraceptives (OR 3.35, 95% CI 2.78-4.03, for BMI ≥30 versus BMI ≥30 versus best fitted by a cubic model, although after the exclusion of the 5% upper and lower tails, it was best fitted by a linear model. The results of this study confirm a role of elevated BMI in the aetiology of endometrial cancer and suggest that the risk in obese women increases in a cubic nonlinear fashion. The relation was stronger in never-users of oral contraceptives and in women with diabetes. © 2015 Royal College of Obstetricians and Gynaecologists.

  14. Receiver Operating Characteristic (ROC) Curve-based Prediction Model for Periodontal Disease Updated With the Calibrated Community Periodontal Index.

    Science.gov (United States)

    Su, Chiu-Wen; Ming-Fang Yen, Amy; Lai, Hongmin; Chen, Hsiu-Hsi; Chen, Sam Li-Sheng

    2017-07-28

    Background The accuracy of a prediction model for periodontal disease using the community periodontal index (CPI) has been undertaken by using an area receiver operating characteristics (AUROC) curve, but how the uncalibrated CPI, as measured by general dentists trained by periodontists in a large epidemiological study, required for constructing a prediction model that affects its performance has not been researched yet. Methods We conducted a two-stage design by first proposing a validation study to calibrate the CPI between a senior periodontal specialist and trained general dentists who measured CPIs in the main study of a nationwide survey. A Bayesian hierarchical logistic regression model was applied to estimate the non-updated and updated clinical weights used for building up risk scores. How the calibrated CPI affected the performance of the updated prediction model was quantified by comparing the AUROC curves between the original and the updated model. Results The estimates regarding the calibration of CPI obtained from the validation study were 66% and 85% for sensitivity and specificity, respectively. After updating, the clinical weights of each predictor were inflated, and the risk score for the highest risk category was elevated from 434 to 630. Such an update improved the AUROC performance of the two corresponding prediction models from 62.6% (95% CI: 61.7%-63.6%) for the non-updated model to 68.9% (95% CI: 68.0%-69.6%) for the updated one, reaching a statistically significant difference (P periodontal disease as measured by the calibrated CPI derived from a large epidemiological survey.

  15. Process-based distributed hydrological modelling of annual floods in the Upper Zambezi using the Desert Flood Index

    Science.gov (United States)

    Meinhardt, Markus; Sven, Kralisch; Manfred, Fink; Daniel, Butchart-Kuhlmann; Anthony, Chabala; Melanie, Fleischer; Jörg, Helmschrot; Wilson, Phiri; Tina, Trautmann; Henry, Zimba; Imasiku, Nyambe

    2016-04-01

    Wetland areas are especially sensitive to changes in hydrological conditions. The catchment of the Luanginga River, a tributary of the Upper Zambezi which covers about 33000 km², shows this characteristic in an exemplary way. Ranging from the Angolan highlands to the Barotse floodplain of the Zambezi River , it is characterized by an annual flow regime and extensive wetland areas. Due to its annual flooding with peak times in April, the area features exceptionally fertile soils with high agricultural production and is further known for its rich cultural heritage, making it especially sensitive to changes of hydrological conditions . To identify possible changes related to projected climate and land management change, especially in the area of the floodplain, there is a need to apply a process-based distributed hydrological model of the annual floods . Remote sensing techniques have shown to be appropriate to identify the extend of the important flooding and were used to validate the model in space and time. The results of this research can be used as a basis with which to provide evidence-based advice and information for all decision-makers and stakeholders in the region. For this assessment , such a modelling approach is applied to adequately represent hydrological processes and to address key water resources management issues at sub-basin levels. Introducing a wetland simulation extension, the model allows to represent the annual flood regime of the system and thus to address the effect of climate change and upstream land use changes on flow regimes in the downstream watershed. In order to provide a basis for model validation and calibration, the inundated area was determined using the Desert Flood Index (DFI), which was generated from a time series of Landsat images. We will give a short introduction to the study area and related water resources management problems, present the intended model structure and show first simulations and model validation results

  16. The European customer satisfaction index model: an application to the international hotel

    Directory of Open Access Journals (Sweden)

    Şirvan Şen Demir

    2012-04-01

    Full Text Available The purposes of this study are (1 to analyze the influence of corporate image, customer expectations, perceived quality and value on customer satisfaction and (2 to examine the relationship between customer satisfaction and customer loyalty. Through conducting a face-to-face interview, a total of 381 questionnaires were collected from tourists who were citizens of countries in European Union and stayed at international five-star hotels in Istanbul and Ankara. Structural Equation Modelling (SEM indicates a remarkable result that the latent factors (corporate image and customer expectations have a significant and positive influence on perception of quality-value and customer satisfaction, and positive relation between customer satisfaction and customer loyalty. As a result, the findings indicate that all factors have a significant correlation with each other.

  17. The European customer satisfaction index model: an application to the international hotel

    Directory of Open Access Journals (Sweden)

    Şirvan Şen Demir

    2012-04-01

    Full Text Available The purposes of this study are (1 to analyze the influence of corporate image, customer expectations, perceived quality and value on customer satisfaction and (2 to examine the relationship between customer satisfaction and customer loyalty. Through conducting a face-to-face interview, a total of 381 questionnaires were collected from tourists who were citizens of countries in European Union and stayed at international five-star hotels in Istanbul and Ankara. Structural Equation Modeling (SEM indicates a remarkable result that the latent factors (corporate image and customer expectations have a significant and positive influence on perception of quality-value and customer satisfaction, and positive relation between customer satisfaction and customer loyalty. As a result, the findings indicate that all factors have a significant correlation with each other. The findings are very important for the customer satisfaction.

  18. AP Index

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Planetary Amplitude index - Bartels 1951. The a-index ranges from 0 to 400 and represents a K-value converted to a linear scale in gammas (nanoTeslas)--a scale that...

  19. Speech Indexing

    NARCIS (Netherlands)

    Ordelman, R.J.F.; Jong, de F.M.G.; Leeuwen, van D.A.; Blanken, H.M.; de Vries, A.P.; Blok, H.E.; Feng, L.

    2007-01-01

    This chapter will focus on the automatic extraction of information from the speech in multimedia documents. This approach is often referred to as speech indexing and it can be regarded as a subfield of audio indexing that also incorporates for example the analysis of music and sounds. If the objecti

  20. Mixed environmental quality indexes for hedonic housing price models: an alternative with area-to-point kriging with external drift

    Directory of Open Access Journals (Sweden)

    José-María Montero

    2009-10-01

    Full Text Available (a When environmental variables are included in hedonic house price models, the locations where a property transaction has been taken place are more than those equipped with an environmental monitoring station. (b When environmental variables are numerous, an environmental quality index (EQI is needed. The solution is to interpolate (kriging environmental variables and, subsequently, elaborate an EQI, because of the lower prediction variance. (c Environmental informations can be both objective and subjective. The potential mismatch between the spatial support for both the objective informations and the subjective ones is solved by using a kriging strategy (area-to-point kriging that forces scarce objective environmental informations to be coherent with dense subjective ones. These options for elaborating EQIs are compared in Madrid City (Spain.

  1. Modelling the effective atomic number and the packing factor of polyatomic compounds: Applications to refractive index and dosimetry

    Science.gov (United States)

    Lima, H.; Couto dos Santos, M. A.

    2016-09-01

    In this work, based on fundamental physics and chemistry (charge distribution, electronegativity, induced dipole moment), we are introducing an analytical expression for Zeff and a general way of calculating the crystal packing factor, p, of any ionic material. By using the average separation between the atomic and crystal(ionic) radii of the interacting ions, we are postulating an effective distance(Rij) between the positive and the negative centre of charge. When compared to the available experimental data, predictions within 20% have been obtained to Zeff of materials applied to dosimetry. In photonics, the increasing behaviour of the refractive index with Zeff is confirmed. By combining crystal field and effective charge models, we have predicted Zeff of the Eu2O3 within the range of available experimental data.

  2. Comparison between the probability distribution of returns in the Heston model and empirical data for stock indexes

    Science.gov (United States)

    Silva, A. Christian; Yakovenko, Victor M.

    2003-06-01

    We compare the probability distribution of returns for the three major stock-market indexes (Nasdaq, S&P500, and Dow-Jones) with an analytical formula recently derived by Drăgulescu and Yakovenko for the Heston model with stochastic variance. For the period of 1982-1999, we find a very good agreement between the theory and the data for a wide range of time lags from 1 to 250 days. On the other hand, deviations start to appear when the data for 2000-2002 are included. We interpret this as a statistical evidence of the major change in the market from a positive growth rate in 1980s and 1990s to a negative rate in 2000s.

  3. Hybrid ontology for semantic information retrieval model using keyword matching indexing system.

    Science.gov (United States)

    Uthayan, K R; Mala, G S Anandha

    2015-01-01

    Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. Establishing ontology into information retrieval is a normal method to develop searching effects of relevant information users require. Keywords matching process with historical or information domain is significant in recent calculations for assisting the best match for specific input queries. This research presents a better querying mechanism for information retrieval which integrates the ontology queries with keyword search. The ontology-based query is changed into a primary order to predicate logic uncertainty which is used for routing the query to the appropriate servers. Matching algorithms characterize warm area of researches in computer science and artificial intelligence. In text matching, it is more dependable to study semantics model and query for conditions of semantic matching. This research develops the semantic matching results between input queries and information in ontology field. The contributed algorithm is a hybrid method that is based on matching extracted instances from the queries and information field. The queries and information domain is focused on semantic matching, to discover the best match and to progress the executive process. In conclusion, the hybrid ontology in semantic web is sufficient to retrieve the documents when compared to standard ontology.

  4. Biological stress reactivity as an index of the two polarities of the experience model.

    Science.gov (United States)

    Silva, Jaime R; Vivanco-Carlevari, Anastassia; Barrientos, Mauricio; Martínez, Claudio; Salazar, Luis A; Krause, Mariane

    2017-10-01

    The two-polarities model of personality argues that experience is organized around two axes: interpersonal relatedness and self-definition. Differential emphasis on one of these poles defines adaptive and pathological experiences, generating anaclitic or introjective tendencies. The anaclitic pattern, on one hand, has been conceptually related with an exaggerated emphasis on interpersonal relatedness. On the other hand, the introjective pattern has been connected to high levels of self-criticism. The aim of this study was to investigate the psychophysiological basis for this relationship. Specifically, we hypothesized that the anaclitic individual should have a higher biological reactivity to stress (BRS), measured by the cortisol concentration in saliva, in an interpersonal stress induction protocol (Trier Social Stress Test). Contrary to what was expected, the results indicated that introjective participants presented a higher BSR than the anaclitic group. Interestingly, in contrast to their higher BSR, the introjective group reported a diminished subjective stress in relation to the average. In the anaclitic group, a tendency that goes in the opposite direction was found. Theoretical implications of these findings were discussed. Copyright © 2017 Elsevier Ltd. All rights reserved.

  5. Hybrid Ontology for Semantic Information Retrieval Model Using Keyword Matching Indexing System

    Directory of Open Access Journals (Sweden)

    K. R. Uthayan

    2015-01-01

    Full Text Available Ontology is the process of growth and elucidation of concepts of an information domain being common for a group of users. Establishing ontology into information retrieval is a normal method to develop searching effects of relevant information users require. Keywords matching process with historical or information domain is significant in recent calculations for assisting the best match for specific input queries. This research presents a better querying mechanism for information retrieval which integrates the ontology queries with keyword search. The ontology-based query is changed into a primary order to predicate logic uncertainty which is used for routing the query to the appropriate servers. Matching algorithms characterize warm area of researches in computer science and artificial intelligence. In text matching, it is more dependable to study semantics model and query for conditions of semantic matching. This research develops the semantic matching results between input queries and information in ontology field. The contributed algorithm is a hybrid method that is based on matching extracted instances from the queries and information field. The queries and information domain is focused on semantic matching, to discover the best match and to progress the executive process. In conclusion, the hybrid ontology in semantic web is sufficient to retrieve the documents when compared to standard ontology.

  6. Measuring And Explaining Turkey’s Competitiveness in Services Using Balassa Index and Diamond Model

    Directory of Open Access Journals (Sweden)

    Abdulkadir Gümüş

    2015-06-01

    Full Text Available This study aims investigating the competitiveness of the selected services in Turkey in comparison with the European Union (EU and the selected EU countries. The main argument of conducting this research stems from the fact that there is a lack of complementary research integrating qualitative and quantitative methodologies in gainingdeeper understanding on the competitiveness of the nations in services in the related literature. In order to contribute to the current body of knowledge on that matter, Porter’s Diamond Model and three different revealed comparative advantage indices have been employed in a combined way within the scope of this study. The findings show that strong comparative advantages exist for Turkey in construction, tourism and transportation sectors. Although Turkish financial and insurance and communication and computer-information sectors appear to be weak compared to EU, there is a substantial potential for improvement. The policy decision makers in Turkey and in Europe’s selected countries can utilize the findings and recommendations of the study for projection ofthe investigated sectors.

  7. Assimilation of leaf area index and surface soil moisture satellite observations into the SIM hydrological model over France

    Science.gov (United States)

    Fairbairn, David; Calvet, Jean-Christophe; Mahfouf, Jean-Francois; Barbu, Alina

    2016-04-01

    Hydrological models have a variety of uses, including flood and drought prediction and water management. The SAFRAN-ISBA-MODCOU (SIM) hydrological model consists of three stages: An atmospheric analysis (SAFRAN) over France, which forces a land surface model (ISBA-A-gs), which then provides drainage and runoff inputs to a hydrological model (MODCOU). The river discharge from MODCOU is validated using observed river discharge over France. Data assimilation (DA) combines a short model forecast from the past with observations to improve the estimate of the model state. The ISBA-A-gs representation of soil moisture and its influence by vegetation can be improved by assimilating surface soil moisture (SSM) and leaf area index (LAI) observations respectively. The Advanced Scatterometer (ASCAT) on board the MetOP satellite measures a low-frequency microwave signal, which is used to retrieve daily SSM over France. The SPOT-VGT sensor observes LAI over France at a temporal frequency of about 10 days. The Simplified Extended Kalman (SEKF) filter combines the model and observed variables by weighting them according to their respective accuracies. Although the SEKF makes incorrect linear assumptions, past experiments have shown that it improves on the model estimates of SSM and LAI. However, due to nonlinearities in the land surface model, improvements in SSM and LAI do not imply improved soil moisture fluxes (drainage, runoff and evapotranspiration). This study indirectly examines the impact of the SEKF on the soil moisture fluxes using the MODCOU hydrological model. The ISBA-A-gs model appears to underestimate the LAI for grasslands in winter and spring, which results in an underestimation (overestimation) of evapotranspiration (drainage and runoff). The excess water flowing into the rivers and aquifers contributes to an overestimation of the MODCOU discharge. Assimilating LAI observations slightly increases the LAI analysis in winter and spring and therefore reduces the

  8. On eccentric connectivity index

    CERN Document Server

    Zhou, Bo

    2010-01-01

    The eccentric connectivity index, proposed by Sharma, Goswami and Madan, has been employed successfully for the development of numerous mathematical models for the prediction of biological activities of diverse nature. We now report mathematical properties of the eccentric connectivity index. We establish various lower and upper bounds for the eccentric connectivity index in terms of other graph invariants including the number of vertices, the number of edges, the degree distance and the first Zagreb index. We determine the n-vertex trees of diameter with the minimum eccentric connectivity index, and the n-vertex trees of pendent vertices, with the maximum eccentric connectivity index. We also determine the n-vertex trees with respectively the minimum, second-minimum and third-minimum, and the maximum, second-maximum and third-maximum eccentric connectivity indices for

  9. A Community Needs Index for Adolescent Pregnancy Prevention Program Planning: Application of Spatial Generalized Linear Mixed Models.

    Science.gov (United States)

    Johnson, Glen D; Mesler, Kristine; Kacica, Marilyn A

    2017-02-06

    Objective The objective is to estimate community needs with respect to risky adolescent sexual behavior in a way that is risk-adjusted for multiple community factors. Methods Generalized linear mixed modeling was applied for estimating teen pregnancy and sexually transmitted disease (STD) incidence by postal ZIP code in New York State, in a way that adjusts for other community covariables and residual spatial autocorrelation. A community needs index was then obtained by summing the risk-adjusted estimates of pregnancy and STD cases. Results Poisson regression with a spatial random effect was chosen among competing modeling approaches. Both the risk-adjusted caseloads and rates were computed for ZIP codes, which allowed risk-based prioritization to help guide funding decisions for a comprehensive adolescent pregnancy prevention program. Conclusions This approach provides quantitative evidence of community needs with respect to risky adolescent sexual behavior, while adjusting for other community-level variables and stabilizing estimates in areas with small populations. Therefore, it was well accepted by the affected groups and proved valuable for program planning. This methodology may also prove valuable for follow up program evaluation. Current research is directed towards further improving the statistical modeling approach and applying to different health and behavioral outcomes, along with different predictor variables.

  10. Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index

    Directory of Open Access Journals (Sweden)

    Qing Yang

    2015-04-01

    Full Text Available In order to realize economic and social green development, to pave a pathway towards China’s green regional development and develop effective scientific policy to assist in building green cities and countries, it is necessary to put forward a relatively accurate, scientific and concise green assessment method. The research uses the CCR (A. Charnes & W. W. Cooper & E. Rhodes Data Envelopment Analysis (DEA model to obtain the green development frontier surface based on 31 regions’ annual cross-section data from 2008–2012. Furthermore, in order to classify the regions whereby assessment values equal to 1 in the CCR model, we chose the Super-Efficiency DEA model for further sorting. Meanwhile, according to the five-year panel data, the green development efficiency changes of 31 regions can be manifested by the Malmquist index. Finally, the study assesses the reasons for regional differences; while analyzing and discussing the results may allude to a superior green development pathway for China.

  11. Natural radioactivity in building material in the European Union: robustness of the activity concentration index I and comparison with a room model.

    Science.gov (United States)

    Nuccetelli, C; Risica, S; D'Alessandro, M; Trevisi, R

    2012-09-01

    Using a wide database collected in the last 10 years, the authors have calculated the activity concentration index I for many building materials in the European Union. Suggested by a European technical guidance document, the index I has recently been adopted as a screening tool in the proposal for the new Euratom basic safety standards directive. The paper analyses the possible implications of the choice of different parameters for the computation of index I, i.e. background to be subtracted, dose criteria, etc. With the collected data an independent assessment of gamma doses was also made with an ISS room model, choosing reasonable hypotheses on the use of materials. The results of the two approaches, i.e. index I and a room model, were compared.

  12. AA Index

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The geomagnetic aa index provides a long climatology of global geomagnetic activity using 2 antipodal observatories at Greenwich and Melbourne- IAGA Bulletin 37,...

  13. Walkability Index

    Data.gov (United States)

    U.S. Environmental Protection Agency — The Walkabiliy Index dataset characterizes every Census 2010 block group in the U.S. based on its relative walkability. Walkability depends upon characteristics of...

  14. Right Heart End-Systolic Remodeling Index Strongly Predicts Outcomes in Pulmonary Arterial Hypertension: Comparison With Validated Models.

    Science.gov (United States)

    Amsallem, Myriam; Sweatt, Andrew J; Aymami, Marie C; Kuznetsova, Tatiana; Selej, Mona; Lu, HongQuan; Mercier, Olaf; Fadel, Elie; Schnittger, Ingela; McConnell, Michael V; Rabinovitch, Marlene; Zamanian, Roham T; Haddad, Francois

    2017-06-01

    Right ventricular (RV) end-systolic dimensions provide information on both size and function. We investigated whether an internally scaled index of end-systolic dimension is incremental to well-validated prognostic scores in pulmonary arterial hypertension. From 2005 to 2014, 228 patients with pulmonary arterial hypertension were prospectively enrolled. RV end-systolic remodeling index (RVESRI) was defined by lateral length divided by septal height. The incremental values of RV free wall longitudinal strain and RVESRI to risk scores were determined. Mean age was 49±14 years, 78% were female, 33% had connective tissue disease, 52% were in New York Heart Association class ≥III, and mean pulmonary vascular resistance was 11.2±6.4 WU. RVESRI and right atrial area were strongly connected to the other right heart metrics. Three zones of adaptation (adapted, maladapted, and severely maladapted) were identified based on the RVESRI to RV systolic pressure relationship. During a mean follow-up of 3.9±2.4 years, the primary end point of death, transplant, or admission for heart failure was reached in 88 patients. RVESRI was incremental to risk prediction scores in pulmonary arterial hypertension, including the Registry to Evaluate Early and Long-Term PAH Disease Management score, the Pulmonary Hypertension Connection equation, and the Mayo Clinic model. Using multivariable analysis, New York Heart Association class III/IV, RVESRI, and log NT-proBNP (N-Terminal Pro-B-Type Natriuretic Peptide) were retained (χ(2), 62.2; Pright heart metrics, RVESRI demonstrated the best test-retest characteristics. RVESRI is a simple reproducible prognostic marker in patients with pulmonary arterial hypertension. © 2017 American Heart Association, Inc.

  15. Mapping grassland leaf area index with airborne hyperspectral imagery : a comparison study of statistical approaches and inversion of radiative transfer models

    NARCIS (Netherlands)

    Darvishzadeh, R.; Atzberger, C.; Skidmore, A.K.; Schlerf, M.

    2011-01-01

    Statistical and physical models have seldom been compared in studying grasslands. In this paper, both modeling approaches are investigated for mapping leaf area index (LAI) in a Mediterranean grassland (Majella National Park, Italy) using HyMap airborne hyperspectral images. We compared inversion of

  16. Development of a Regression Kriging Model Conditioned with Sequential Gaussian Simulation to Predict the Spatial Distribution of Site Index for The Savannah River Site.

    Energy Technology Data Exchange (ETDEWEB)

    Edwards, Lloyd [USDA Forest Service, Southern Research Station; Parresol, Bernie [USDA Forest Service, Southern Research Station

    2012-09-17

    The primary research objective of the project is to determine an optimum model to spatially interpolate point derived tree site index (SI). This optimum model will use relevant data from 635 measured sample points to create continuous 40 meter SI raster layer of entire study extent.

  17. Evolutionary Stellar Population Synthesis with MILES. Part I: The Base Models and a New Line Index System

    CERN Document Server

    Vazdekis, A; Falcón-Barroso, J; Cenarro, A J; Beasley, M A; Cardiel, N; Gorgas, J; Peletier, R F; 10.1111/j.1365-2966.2010.16407.x

    2010-01-01

    [Abridged]. We present SEDs for single-age, single-metallicity stellar populations (SSPs) covering the optical range at resolution 2.3A (FWHM). These SEDs constitute our base models, as they combine scaled-solar isochrones with MILES empirical stellar library, which follows the chemical evolution pattern of the solar neighbourhood. The models rely as much as possible on empirical ingredients, not just on the stellar spectra, but also on extensive photometric libraries. The unprecedented stellar parameter coverage of MILES allowed us to safely extend our optical SSP SED predictions from intermediate- to very-old age regimes, and the metallicity coverage of the SSPs from super-solar to [M/H]=-2.3. SSPs with such low metallicities are particularly useful for globular cluster studies. Observed spectra can be studied by means of full spectrum fitting or line-strengths. For the latter we propose a new Line Index System (LIS) to avoid the intrinsic uncertainties associated with the popular Lick/IDS system and provid...

  18. Implementation of Extended Statistical Entropy Analysis to the Effluent Quality Index of the Benchmarking Simulation Model No. 2

    Directory of Open Access Journals (Sweden)

    Alicja P. Sobańtka

    2014-01-01

    Full Text Available Extended statistical entropy analysis (eSEA is used to assess the nitrogen (N removal performance of the wastewater treatment (WWT simulation software, the Benchmarking Simulation Model No. 2 (BSM No. 2 . Six simulations with three different types of wastewater are carried out, which vary in the dissolved oxygen concentration (O2,diss. during the aerobic treatment. N2O emissions generated during denitrification are included in the model. The N-removal performance is expressed as reduction in statistical entropy, ΔH, compared to the hypothetical reference situation of direct discharge of the wastewater into the river. The parameters chemical and biological oxygen demand (COD, BOD and suspended solids (SS are analogously expressed in terms of reduction of COD, BOD, and SS, compared to a direct discharge of the wastewater to the river (ΔEQrest. The cleaning performance is expressed as ΔEQnew, the weighted average of ΔH and ΔEQrest. The results show that ΔEQnew is a more comprehensive indicator of the cleaning performance because, in contrast to the traditional effluent quality index (EQ, it considers the characteristics of the wastewater, includes all N-compounds and their distribution in the effluent, the off-gas, and the sludge. Furthermore, it is demonstrated that realistically expectable N2O emissions have only a moderate impact on ΔEQnew.

  19. A Multi-Model Approach Using Statistical Index and Information Criteria to Evaluate the Adequacy of the Model Geometry in a Fissured Carbonate Aquifer (Italy

    Directory of Open Access Journals (Sweden)

    Marco Giacopetti

    2016-06-01

    Full Text Available A conceptual model related to a mountain aquifer that is characterized by a lack of data of hydrogeological parameters and boundary conditions, which were based on a single available observational dataset used for calibration, was studied using numerical models. For the first time, a preliminary spatial-temporal analysis has been applied to the study area in order to evaluate the real extension of the aquifer studied. The analysis was based on four models that were characterized by an increasing degree of complexity using a minimum of two zones and a maximum of five zones, which consequently increased the number of adjustable parameters from a minimum of 10 to a maximum of 22, calibrated using the parameter estimation code PEST. Statistical index and information criteria were calculated for each model, which showed comparable results; the information criteria indicated that the model with the low number of adjustable parameters was the optimal model. A comparison of the simulated and observed spring hydrographs showed a good shape correspondence but a general overestimation of the discharge, which indicated a good fit with the rainfall time series and a probably incorrect extension of the aquifer structure: the recharge contributes more than half of the total outflow at the springs but is not able to completely feed the springs.

  20. Virginia ESI: INDEX (Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries of all hardcopy cartographic products produced as part of the Environmental Sensitivity Index...

  1. Louisiana ESI: INDEX (Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries of all the hardcopy cartographic products produced as part of the Environmental Sensitivity Index...

  2. Maryland ESI: INDEX (Index Polygons)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains vector polygons representing the boundaries of all hardcopy cartographic products produced as part of the Environmental Sensitivity Index...

  3. Venture Capital Industry Index Portfolio Analysis

    Directory of Open Access Journals (Sweden)

    Dagang Yang

    2013-05-01

    Full Text Available This paper using index analysis method, knowledge of venture capital as well as index funds investment ideas, successively set up the Markowitz model and the single index model of index investing. Markowitz model for the calculation of the risk of workload is too big and single-index model although accuracy is slightly lower, but can certainly be very well used in practice. Therefore, We use index invest to invest in Shanghai 10 index securities with the single-index model , and apply lingo software to figure out the venture capital portfolio which have different yields.

  4. ASSESSMENT OF EARLY SEASON AGRICULTURAL DROUGHT THROUGH LAND SURFACE WATER INDEX (LSWI AND SOIL WATER BALANCE MODEL

    Directory of Open Access Journals (Sweden)

    K. Chandrasekar

    2012-08-01

    Full Text Available An attempt was made to address the early season agriculture drought, by monitoring the surface soil wetness during 2010 cropping seasons in the states of Andhra Pradesh and Tamil Nadu. Short Wave Infrared (SWIR based Land Surface Water Index (LSWI and Soil Water Balance (SWB model using inputs from remote sensing and ancillary data were used to monitor early season agriculture drought. During the crop season, investigation was made on LSWI characteristics and its response to the rainfall. It was observed that the Rate of Increase (RoI of LSWI was the highest during the fortnights when the onset of monsoon occurred. The study showed that LSWI is sensitive to the onset of monsoon and initiation of cropping season. The second part of this study attempted to develop a simple book keeping – bucket type – water tight soil water balance model to derive the top 30cm profile soil moisture using climatic, soil and crop parameters as the basic inputs. Soil moisture derived from the model was used to compute the Area Conducive for Sowing (ACS during the sowing window of the cropping season. The soil moisture was validated spatially and temporally with the ground observed soil moisture values. The ACS was compared with the RoI of LSWI. The results showed that the RoI was high during the sowing window whenever the ACS was greater than 50% of the district area. The observation was consistent in all the districts of the two states. Thus the analysis revealed the potential of LSWI for early season agricultural drought management.

  5. A fuzzy-based model to implement the global safety buildings index assessment for agri-food buildings

    Directory of Open Access Journals (Sweden)

    Francesco Barreca

    2014-06-01

    Full Text Available The latest EU policies focus on the issue of food safety with a view to ensuring adequate and standard quality levels for the food produced and/or consumed within the EC. To that purpose, the environment where agricultural products are manufactured and processed plays a crucial role in achieving food hygiene. As a consequence, it is of the outmost importance to adopt proper building solutions which meet health and hygiene requirements as well as to use suitable tools to measure the levels achieved. Similarly, it is necessary to verify and evaluate the level of workers’ safety and welfare in their working environment. Workers’ safety has not only an ethical and social value but also an economic implication, since possible accidents or environmental stressors are the major causes of the lower efficiency and productivity of workers. Therefore, it is fundamental to design suitable models of analysis that allow assessing buildings as a whole, taking into account both health and hygiene safety as well as workers’ safety and welfare. Hence, this paper proposes an assessment model that, based on an established study protocol and on the application of a fuzzy logic procedure, allows assessing the global safety level of an agri-food building by means of a global safety buildings index. The model here presented is original since it uses fuzzy logic to evaluate the performances of both the technical and environmental systems of an agri-food building in terms of health and hygiene safety of the manufacturing process as well as of workers’ health and safety. The result of the assessment is expressed through a triangular fuzzy membership function which allows carrying out comparative analyses of different buildings. A specific procedure was developed to apply the model to a case study which tested its operational simplicity and the validity of its results. The proposed model allows obtaining a synthetic and global value of the building performance of

  6. Customer Satisfaction Index Model on Three Level Of Socioeconomic Status In Bogor Case Study: Customer Satisfaction on Branded Cooking Oil Product

    Directory of Open Access Journals (Sweden)

    Budi Setiawan

    2014-06-01

    Full Text Available Customer satisfaction index models have been developed in many countries, including Indonesia. Those models were commonly not focused on the socioeconomic status (SES of the customer, sothis condition could be a research gap. The aims of this research is to analyze the customer satisfaction index model of branded cooking oil product in Bogor, Indonesia based on SES established from the household monthly routine consumption. Questionnaires were used as primary data collection instrument in this study, while data analysis was carried out with variance based structural equation modeling (SEM which is also known as Partial Least Square (PLS model, and Kruskall Wallis nonparametric test. Perceived quality, perceived value and customer expectation as were significantly influencing the customer satisfaction construct in the structural model. This study also concluded that there is different level of overall customer satisfaction on the three levels of customer’s SES

  7. Phishing, SMiShing & Vishing

    DEFF Research Database (Denmark)

    Yeboah-Boateng, Ezer Osei; Amanor, Priscilla Mateko

    2014-01-01

    the target into providing personal information with the intention to use that information to cause harm. With the proliferation of smart phones, tablets and hotspots, these social engineering attacks on mobile devices are now prevalent. The study observed and strategically interviewed 20 end...

  8. Eccentric connectivity index

    CERN Document Server

    Ilić, Aleksandar

    2011-01-01

    The eccentric connectivity index $\\xi^c$ is a novel distance--based molecular structure descriptor that was recently used for mathematical modeling of biological activities of diverse nature. It is defined as $\\xi^c (G) = \\sum_{v \\in V (G)} deg (v) \\cdot \\epsilon (v)$\\,, where $deg (v)$ and $\\epsilon (v)$ denote the vertex degree and eccentricity of $v$\\,, respectively. We survey some mathematical properties of this index and furthermore support the use of eccentric connectivity index as topological structure descriptor. We present the extremal trees and unicyclic graphs with maximum and minimum eccentric connectivity index subject to the certain graph constraints. Sharp lower and asymptotic upper bound for all graphs are given and various connections with other important graph invariants are established. In addition, we present explicit formulae for the values of eccentric connectivity index for several families of composite graphs and designed a linear algorithm for calculating the eccentric connectivity in...

  9. Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC)

    KAUST Repository

    Houborg, Rasmus

    2015-01-19

    Leaf area index (LAI) and leaf chlorophyll content (Chll) represent key biophysical and biochemical controls on water, energy and carbon exchange processes in the terrestrial biosphere. In combination, LAI and Chll provide critical information on vegetation density, vitality and photosynthetic potentials. However, simultaneous retrieval of LAI and Chll from space observations is extremely challenging. Regularization strategies are required to increase the robustness and accuracy of retrieved properties and enable more reliable separation of soil, leaf and canopy parameters. To address these challenges, the REGularized canopy reFLECtance model (REGFLEC) inversion system was refined to incorporate enhanced techniques for exploiting ancillary LAI and temporal information derived from multiple satellite scenes. In this current analysis, REGFLEC is applied to a time-series of Landsat data.A novel aspect of the REGFLEC approach is the fact that no site-specific data are required to calibrate the model, which may be run in a largely automated fashion using information extracted entirely from image-based and other widely available datasets. Validation results, based upon in-situ LAI and Chll observations collected over maize and soybean fields in central Nebraska for the period 2001-2005, demonstrate Chll retrieval with a relative root-mean-square-deviation (RMSD) on the order of 19% (RMSD=8.42μgcm-2). While Chll retrievals were clearly influenced by the version of the leaf optical properties model used (PROSPECT), the application of spatio-temporal regularization constraints was shown to be critical for estimating Chll with sufficient accuracy. REGFLEC also reproduced the dynamics of in-situ measured LAI well (r2 =0.85), but estimates were biased low, particularly over maize (LAI was underestimated by ~36 %). This disparity may be attributed to differences between effective and true LAI caused by significant foliage clumping not being properly accounted for in the canopy

  10. Active index model: a unique approach for regional quantitative morphometry in longitudinal and cross-sectional studies

    Science.gov (United States)

    Saha, P. K.; Zhang, H.; Sonka, M.; Christensen, G. E.; Rajapakse, C. S.

    2007-03-01

    Recent advancements in digital medical imaging have opened avenues for quantitative analyses of different volumetric and morphometric indices in response to a disease or a treatment. However, a major challenge in performing such an analysis is the lack of a technology of building a mean anatomic space (MAS) that allows mapping data of a given subject onto MAS. This approach leads to a tool for point-by-point regional analysis and comparison of quantitative indices for data coming from a longitudinal or transverse study. Toward this goal, we develop a new computation technique, called Active Index Model (AIM), which is a unique tool to solve the stated problem. AIM consists of three building blocks - (1) development of MAS for a particular anatomic site, (2) mapping a specific data onto MAS, (3) regional statistical analysis of data from different populations assessing regional response to a disease or treatment progression. The AIM presented here is built at the training phase from two known populations (e.g., normal and diseased) which will be immediately ready for diagnostic purpose in a subject whose clinical status is unknown. AIM will be useful for both cross sectional and longitudinal studies and for early diagnostic. This technique will be a vital tool for understanding regional response of a disease or treatment at various stages of its progression. This method has been applied for analyzing regional trabecular bone structural distribution in rabbit femur via micro-CT imaging and to localize the affected myocardial regions from cardiac MR data.

  11. A Motivational Model of Physical Education and Links to Enjoyment, Knowledge, Performance, Total Physical Activity and Body Mass Index.

    Science.gov (United States)

    Gråstén, Arto; Watt, Anthony

    2017-09-01

    The present paper examined the full sequence of the Hierarchical Model of Motivation in physical education (PE) including motivational climate, basic psychological needs, intrinsic motivation, and related links to contextual enjoyment, knowledge, performance, and total moderate to vigorous physical activity (MVPA). Gender differences and correlations with body mass index (BMI) were also analyzed. Cross-sectional data was represented by self-reports and objective assessments of 770 middle school students (52% of girls) in North-East Finland. The results showed that task-involving climate in girls' PE classes was related to enjoyment and knowledge through physical competence and intrinsic motivation, whereas task-involving climate was associated with enjoyment and knowledge via competence and autonomy, and total MVPA via autonomy, intrinsic motivation, and knowledge within boys. This may indicate that girls and boys perceive PE classes in a different way. Graded PE assessments appeared to be essential in motivating both girls and boys to participate in greater total MVPA, whereas BMI was negatively linked with competence and social relatedness only among girls. Although, the current and previous empirical findings supported task-involving teaching methods in PE, in some cases, ego-involving climate should be considered. Therefore, both task- and ego-involving teaching practices can be useful ways of developing preferred behaviors in PE classes.

  12. Benefit evaluation of the Three-Gorges Reservoir migration by an assessment index model based on analytic hierarchy process

    Institute of Scientific and Technical Information of China (English)

    WANG Jun-hui; GAN Lian-jun

    2007-01-01

    An assessment index model was established to evaulate the benefit of the Three-Gorges Reservoir migration through the analytical hierarchy process. Totally 43 indicators were selected to assess the impact of migration on the economic, social and ecological environmental aspects of the migration communities, with the data of the indicators of the years 1992, 1998, 2002 which represented the period of premigration, the end of the first phase migration and the end of the second phase migration, respectively. The evaluation matrix is sufficiently consistent, with a consistency ratio CR equal to 0.086 3. The assessment turned out a benefit value for the economic subsystem in the year 2004 larger than triple the value in the year 1992, indicating a remarkable economic growth in the Reservoir area. The constantly increasing value for the social subsystem reflects the stable social situations. There is a slight decline in the assessment outcome of the ecological subsystem for the year 1998, which implies enviromental conservation was given insufficient importance during that period. On the whole, the implementation of the migration project is favorable to the Reservoir region, as confirmed by the stably increasing overall evaluation value from 42.22% in 1992 to 68.81% in 2002. However, there is still much room to improve from the status quo to the target criteria.

  13. A mixture model of ductus venosus pulsatility index in screening for aneuploidies at 11-13 weeks' gestation.

    Science.gov (United States)

    Maiz, Nerea; Wright, David; Ferreira, Ana Fatima A; Syngelaki, Argyro; Nicolaides, Kypros H

    2012-01-01

    To assess the value of ductus venosus pulsatility index for veins (DV PIV) in screening for aneuploidies at 11-13 weeks' gestation. Fetal DV PIV was measured in singleton pregnancies undergoing first-trimester screening for aneuploidies. In euploid (n = 44,756) and aneuploid (202 cases of trisomy 21, 72 cases of trisomy 18 and 30 cases of trisomy 13) fetuses, DV PIV was best described by a mixture model of distributions. Performance of screening for aneuploidies by DV PIV alone and in combination with fetal nuchal translucency (NT) thickness and serum free β-hCG and PAPP-A was estimated. In euploid pregnancies there was a bimodal distribution of DV PIV with a dominant crown-rump length (CRL)-dependent part, accounting for around 97% of cases in Caucasians and around 93% in Afro-Caribbeans, and a smaller CRL-independent distribution. In aneuploidies the dominant part was the CRL-independent distribution, which accounted for around 85% cases of trisomies 21 and 18 and 70% of cases of trisomy 13. In screening for trisomy 21 by maternal age, NT and biochemistry at a risk cutoff of 1 in 100, the detection rate was 89.7% and false positive rate was 2.74%; with addition of DV PIV, the values were 93.5 and 1.63%, respectively. Measurement of DV PIV improves the performance of first-trimester combined test for aneuploidies. Copyright © 2012 S. Karger AG, Basel.

  14. Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran.

    Science.gov (United States)

    Baghapour, Mohammad Ali; Fadaei Nobandegani, Amir; Talebbeydokhti, Nasser; Bagherzadeh, Somayeh; Nadiri, Ata Allah; Gharekhani, Maryam; Chitsazan, Nima

    2016-01-01

    Extensive human activities and unplanned land uses have put groundwater resources of Shiraz plain at a high risk of nitrate pollution, causing several environmental and human health issues. To address these issues, water resources managers utilize groundwater vulnerability assessment and determination of protection. This study aimed to prepare the vulnerability maps of Shiraz aquifer by using Composite DRASTIC index, Nitrate Vulnerability index, and artificial neural network and also to compare their efficiency. The parameters of the indexes that were employed in this study are: depth to water table, net recharge, aquifer media, soil media, topography, impact of the vadose zone, hydraulic conductivity, and land use. These parameters were rated, weighted, and integrated using GIS, and then, used to develop the risk maps of Shiraz aquifer. The results indicated that the southeastern part of the aquifer was at the highest potential risk. Given the distribution of groundwater nitrate concentrations from the wells in the underlying aquifer, the artificial neural network model offered greater accuracy compared to the other two indexes. The study concluded that the artificial neural network model is an effective model to improve the DRASTIC index and provides a confident estimate of the pollution risk. As intensive agricultural activities are the dominant land use and water table is shallow in the vulnerable zones, optimized irrigation techniques and a lower rate of fertilizers are suggested. The findings of our study could be used as a scientific basis in future for sustainable groundwater management in Shiraz plain.

  15. Social vulnerability assessment using spatial multi-criteria analysis (SEVI model and the Social Vulnerability Index (SoVI model – a case study for Bucharest, Romania

    Directory of Open Access Journals (Sweden)

    I. Armaș

    2013-06-01

    Full Text Available In recent decades, the development of vulnerability frameworks has enlarged the research in the natural hazards field. Despite progress in developing the vulnerability studies, there is more to investigate regarding the quantitative approach and clarification of the conceptual explanation of the social component. At the same time, some disaster-prone areas register limited attention. Among these, Romania's capital city, Bucharest, is the most earthquake-prone capital in Europe and the tenth in the world. The location is used to assess two multi-criteria methods for aggregating complex indicators: the social vulnerability index (SoVI model and the spatial multi-criteria social vulnerability index (SEVI model. Using the data of the 2002 census we reduce the indicators through a factor analytical approach to create the indices and examine if they bear any resemblance to the known vulnerability of Bucharest city through an exploratory spatial data analysis (ESDA. This is a critical issue that may provide better understanding of the social vulnerability in the city and appropriate information for authorities and stakeholders to consider in their decision making. The study emphasizes that social vulnerability is an urban process that increased in a post-communist Bucharest, raising the concern that the population at risk lacks the capacity to cope with disasters. The assessment of the indices indicates a significant and similar clustering pattern of the census administrative units, with an overlap between the clustering areas affected by high social vulnerability. Our proposed SEVI model suggests adjustment sensitivity, useful in the expert-opinion accuracy.

  16. Social vulnerability assessment using spatial multi-criteria analysis (SEVI model) and the Social Vulnerability Index (SoVI model) - a case study for Bucharest, Romania

    Science.gov (United States)

    Armaş, I.; Gavriş, A.

    2013-06-01

    In recent decades, the development of vulnerability frameworks has enlarged the research in the natural hazards field. Despite progress in developing the vulnerability studies, there is more to investigate regarding the quantitative approach and clarification of the conceptual explanation of the social component. At the same time, some disaster-prone areas register limited attention. Among these, Romania's capital city, Bucharest, is the most earthquake-prone capital in Europe and the tenth in the world. The location is used to assess two multi-criteria methods for aggregating complex indicators: the social vulnerability index (SoVI model) and the spatial multi-criteria social vulnerability index (SEVI model). Using the data of the 2002 census we reduce the indicators through a factor analytical approach to create the indices and examine if they bear any resemblance to the known vulnerability of Bucharest city through an exploratory spatial data analysis (ESDA). This is a critical issue that may provide better understanding of the social vulnerability in the city and appropriate information for authorities and stakeholders to consider in their decision making. The study emphasizes that social vulnerability is an urban process that increased in a post-communist Bucharest, raising the concern that the population at risk lacks the capacity to cope with disasters. The assessment of the indices indicates a significant and similar clustering pattern of the census administrative units, with an overlap between the clustering areas affected by high social vulnerability. Our proposed SEVI model suggests adjustment sensitivity, useful in the expert-opinion accuracy.

  17. Impact of body composition during weight change on resting energy expenditure and homeostasis model assessment index in overweight nonsmoking adults.

    Science.gov (United States)

    Pourhassan, Maryam; Bosy-Westphal, Anja; Schautz, Britta; Braun, Wiebke; Glüer, Claus-C; Müller, Manfred J

    2014-04-01

    Weight change affects resting energy expenditure (REE) and metabolic risk factors. The impact of changes in individual body components on metabolism is unclear. We investigated changes in detailed body composition to assess their impacts on REE and insulin resistance. Eighty-three healthy subjects [body mass index (BMI; in kg/m²) range: 20.2-46.8; 50% obese] were investigated at 2 occasions with weight changes between -11.2 and +6.5 kg (follow-up periods between 23.5 and 43.5 mo). Detailed body composition was measured by using the 4-component model and whole-body magnetic resonance imaging. REE, plasma thyroid hormone concentrations, and insulin resistance were measured by using standard methods. Weight loss was associated with decreases in fat mass (FM) and fat-free mass (FFM) by 72.0% and 28.0%, respectively. A total of 87.9% of weight gain was attributed to FM. With weight loss, sizes of skeletal muscle, kidneys, heart, and all fat depots decreased. With weight gain, skeletal muscle, liver, kidney masses, and several adipose tissue depots increased except for visceral adipose tissue (VAT). After adjustments for FM and FFM, REE decreased with weight loss (by 0.22 MJ/d) and increased with weight gain (by 0.11 MJ/d). In a multiple stepwise regression analysis, changes in skeletal muscle, plasma triiodothyronine, and kidney masses explained 34.9%, 5.3%, and 4.5%, respectively, of the variance in changes in REE. A reduction in subcutaneous adipose tissue rather than VAT was associated with the improvement of insulin sensitivity with weight loss. Weight gain had no effect on insulin resistance. Beyond a 2-compartment model, detailed changes in organ and tissue masses further add to explain changes in REE and insulin resistance.

  18. Using QUAL2K Model and river pollution index for water quality management in Mahmoudia Canal, Egypt

    Directory of Open Access Journals (Sweden)

    Ehab A. Elsayed

    2014-08-01

    Full Text Available The Mahmoudia Canal is the main source of municipal and industrial water supply for Alexandria (the second largest city in Egypt and many other towns and villages. In recent years, considerable water quality degradation has been observed in the Mahmoudia Canal. This problem has attracted increasing attention from both the public and the Egyptian government. As a result, this study aims at assessing the current seasonal variations in water quality in the Mahmoudia Canal and simulating various water quality management scenarios for the canal. The present research involves the application of the water quality model, QUAL2K, to predict water quality along the Mahmoudia Canal on a seasonal basis for the considered scenarios. Based on the QUAL2K simulations, the River Pollution Index (RPI was used to appraise the conditions of water pollution at the intakes of the twelve water treatment plants (WTPs located along Mahmoudia Canal. The results showed that the QUAL2K model is successfully applied to simulate the water quantity and quality parameters of the Mahmoudia Canal in different seasons. For the current status of the canal, it was found that the highest pollution level occurred in autumn in which effluent water quality at all WTPs along the Mahmoudia Canal was classified as moderately polluted. In the other seasons, effluent water quality was categorized as moderately polluted at most WTPs in the Beheira governorate and negligibly polluted at all WTPs in the Alexandria governorate. Moreover, it was concluded that controlling the Rahawy drain discharge or treating its pollution loads before mixing with the Rosetta Branch may solve water quality problems of the Mahmoudia Canal and allow re-running of the Edko re-use pump station in summer, winter, and spring. However in autumn, additional measures will be required to mitigate pollution levels in the canal.

  19. Childhood body mass index trajectories: modeling, characterizing, pairwise correlations and socio-demographic predictors of trajectory characteristics

    Directory of Open Access Journals (Sweden)

    Wen Xiaozhong

    2012-03-01

    Full Text Available Abstract Background Modeling childhood body mass index (BMI trajectories, versus estimating change in BMI between specific ages, may improve prediction of later body-size-related outcomes. Prior studies of BMI trajectories are limited by restricted age periods and insufficient use of trajectory information. Methods Among 3,289 children seen at 81,550 pediatric well-child visits from infancy to 18 years between 1980 and 2008, we fit individual BMI trajectories using mixed effect models with fractional polynomial functions. From each child's fitted trajectory, we estimated age and BMI at infancy peak and adiposity rebound, and velocity and area under curve between 1 week, infancy peak, adiposity rebound, and 18 years. Results Among boys, mean (SD ages at infancy BMI peak and adiposity rebound were 7.2 (0.9 and 49.2 (11.9 months, respectively. Among girls, mean (SD ages at infancy BMI peak and adiposity rebound were 7.4 (1.1 and 46.8 (11.0 months, respectively. Ages at infancy peak and adiposity rebound were weakly inversely correlated (r = -0.09. BMI at infancy peak and adiposity rebound were positively correlated (r = 0.76. Blacks had earlier adiposity rebound and greater velocity from adiposity rebound to 18 years of age than whites. Higher birth weight z-score predicted earlier adiposity rebound and higher BMI at infancy peak and adiposity rebound. BMI trajectories did not differ by birth year or type of health insurance, after adjusting for other socio-demographics and birth weight z-score. Conclusions Childhood BMI trajectory characteristics are informative in describing childhood body mass changes and can be estimated conveniently. Future research should evaluate associations of these novel BMI trajectory characteristics with adult outcomes.

  20. The Effect of the Transtheoretical Model Approach Towards the Body Mass Index of Overweight and Obese Children in Makassar

    Directory of Open Access Journals (Sweden)

    Kadek Ayu Erika

    2014-04-01

    Full Text Available BACKGROUND: Overweight and obesity is now ranked fifth as a global risk for the cause of death. Urban lifestyle is fueled by excessive food intake and lack of activity in overweight and obese children. The assessment of the children’s Body Mass Index (BMI is one of the indicators to assess the nutritional status of children. One strategy that can be used is the transtheoretical model (TTM approach which is behavior change that helps children and parents in making more effective decisions to reduce health-risk behaviors among children so that the children’s BMI can decrease. This study aims to identify the differences between children's BMI before and after the TTM approach. METHODS: This research was conducted in the district area of Tamalanrea and Biringkanaya, Makassar. The design used is the Quasy Experiment namely pre- and post-test with control group design. Research subjects were overweight or obese children in the 4th, 5th, and 6th grade of elementary school. The samples in the treatment group consisted of 31 participants, while the control group consisted of 33 participants which were selected using purposive sampling. Intervention research was conducted during a six month period by providing guide books on healthy lifestyle, visiting the families every month using questionnaires, and measurements of children’s height, weight and BMI using WHO’s AntrhoPlus software year 2007. RESULTS: Post-pretest results showed the average value of the treatment group’s BMI was -1.48 and the control group was 1.35. This means that the treatment group experienced a decrease in BMI after the application of TTM. The Mann Whitney test results indicate that there is a difference in the BMI pre-post intervention with the value of p=0.00 (>0.05. CONCLUSIONS: The overweight and obese children’s BMI was influenced by TTM approach. KEYWORDS: transtheoretical model, children’s BMI, overweight, obesity.

  1. Modeling of decomposition activity and priming effect in soil using the versatile index of microbial physiological state

    Science.gov (United States)

    Blagodatskiy, Sergey

    2015-04-01

    The implementation of microbial biomass in soil organic matter (SOM) models is still unresolved issue. The approaches using explicit description of microbial biomass (decomposer) interaction with SOM usually cannot be easily verified by means of experimental estimating of total microbial biomass dynamics. Standard experimental methods, such as fumigation extraction or direct microscopic count, does not represent microbial activity (Blagodatskaya and Kuzyakov, 2013), which is essential for the control of decomposition rate. More advanced approaches, explicitly simulating intracellular metabolic activity (Resat et al., 2012) and e.g. production and turnover of extracellular enzymes (Lawrence et al., 2009) are prohibitively complex for the field and larger scales, which are most often under demand for SOM modelling. One possible parsimonious solution is an application of index of microbial physiological state (r), which describes the adaptive variation of the cell composition and metabolic activity by one variable (Panikov, 1995). This variable (r) can reflect the microbial response to the availability of carbon and nitrogen and shift of microbial biomass between active and dormant state (Blagodatsky and Richter, 1998), but also can be used for the description of the effect of external factors, such as temperature and moisture, on microbial activity. This approach is extremely useful for the description of priming effect (Blagodatsky et al., 2010) and the influence of substrate availability and external factors on the size and dynamics of priming. Distinguishing of these two types of driving forces for priming is crucial for modelling of SOM dynamics and steady-state stocks of different SOM pools. I will present the analysis of model response on combination of limiting factors presented as functions controlling the change of microbial physiological state and size of priming effect. Alternatively, the direct effect of the same factors on decomposition rate and priming

  2. INDEXING MECHANISM

    Science.gov (United States)

    Kock, L.J.

    1959-09-22

    A device is presented for loading and unloading fuel elements containing material fissionable by neutrons of thermal energy. The device comprises a combination of mechanical features Including a base, a lever pivotally attached to the base, an Indexing plate on the base parallel to the plane of lever rotation and having a plurality of apertures, the apertures being disposed In rows, each aperture having a keyway, an Index pin movably disposed to the plane of lever rotation and having a plurality of apertures, the apertures being disposed in rows, each aperture having a keyway, an index pin movably disposed on the lever normal to the plane rotation, a key on the pin, a sleeve on the lever spaced from and parallel to the index pin, a pair of pulleys and a cable disposed between them, an open collar rotatably attached to the sleeve and linked to one of the pulleys, a pin extending from the collar, and a bearing movably mounted in the sleeve and having at least two longitudinal grooves in the outside surface.

  3. A fingerprint orientation model based on 2D Fourier expansion (FOMFE) and its application to singular-point detection and fingerprint indexing.

    Science.gov (United States)

    Wang, Yi; Hu, Jiankun; Phillips, Damien

    2007-04-01

    In this paper, we have proposed a fingerprint orientation model based on 2D Fourier expansions (FOMFE) in the phase plane. The FOMFE does not require prior knowledge of singular points (SPs). It is able to describe the overall ridge topology seamlessly, including the SP regions, even for noisy fingerprints. Our statistical experiments on a public database show that the proposed FOMFE can significantly improve the accuracy of fingerprint feature extraction and thus that of fingerprint matching. Moreover, the FOMFE has a low-computational cost and can work very efficiently on large fingerprint databases. The FOMFE provides a comprehensive description for orientation features, which has enabled its beneficial use in feature-related applications such as fingerprint indexing. Unlike most indexing schemes using raw orientation data, we exploit FOMFE model coefficients to generate the feature vector. Our indexing experiments show remarkable results using different fingerprint databases.

  4. Supersymmetric Berry index

    CERN Document Server

    Ilinskii, K N; Melezhik, V S; Ilinski, K N; Kalinin, G V; Melezhik, V V

    1994-01-01

    We revise the sequences of SUSY for a cyclic adiabatic evolution governed by the supersymmetric quantum mechanical Hamiltonian. The condition (supersymmetric adiabatic evolution) under which the supersymmetric reductions of Berry (nondegenerated case) or Wilczek-Zee (degenerated case) phases of superpartners are taking place is pointed out. The analogue of Witten index (supersymmetric Berry index) is determined. As the examples of suggested concept of supersymmetric adiabatic evolution the Holomorphic quantum mechanics on complex plane and Meromorphic quantum mechanics on Riemann surface are considered. The supersymmetric Berry indexes for the models are calculated.

  5. Modeling and prediction of global magnetic disturbance in near-Earth space: A case study for Kp index using NARX models

    Science.gov (United States)

    Ayala Solares, Jose Roberto; Wei, Hua-Liang; Boynton, R. J.; Walker, Simon N.; Billings, Stephen A.

    2016-10-01

    Severe geomagnetic disturbances can be hazardous for modern technological systems. The reliable forecast of parameters related to the state of the magnetosphere can facilitate the mitigation of adverse effects of space weather. This study is devoted to the modeling and forecasting of the evolution of the Kp index related to global geomagnetic disturbances. Throughout this work the Nonlinear Autoregressive with Exogenous inputs (NARX) methodology is applied. Two approaches are presented: (i) a recursive sliding window approach and (ii) a direct approach. These two approaches are studied separately and are then compared to evaluate their performances. It is shown that the direct approach outperforms the recursive approach, but both tend to produce predictions slightly biased from the true values for low and high disturbances.

  6. Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Lidar and digital elevation model (DEM) tile index

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data represents the tile index for lidar data collected for the U.S. Geological Survey in November 2012 following Hurricane Sandy, which made landfall in the...

  7. A water quality index model using stepwise regression and neural networks models for the Piabanha River basin in Rio de Janeiro, Brazil

    Science.gov (United States)

    Villas Boas, M. D.; Olivera, F.; Azevedo, J. S.

    2013-12-01

    The evaluation of water quality through 'indexes' is widely used in environmental sciences. There are a number of methods available for calculating water quality indexes (WQI), usually based on site-specific parameters. In Brazil, WQI were initially used in the 1970s and were adapted from the methodology developed in association with the National Science Foundation (Brown et al, 1970). Specifically, the WQI 'IQA/SCQA', developed by the Institute of Water Management of Minas Gerais (IGAM), is estimated based on nine parameters: Temperature Range, Biochemical Oxygen Demand, Fecal Coliforms, Nitrate, Phosphate, Turbidity, Dissolved Oxygen, pH and Electrical Conductivity. The goal of this study was to develop a model for calculating the IQA/SCQA, for the Piabanha River basin in the State of Rio de Janeiro (Brazil), using only the parameters measurable by a Multiparameter Water Quality Sonde (MWQS) available in the study area. These parameters are: Dissolved Oxygen, pH and Electrical Conductivity. The use of this model will allow to further the water quality monitoring network in the basin, without requiring significant increases of resources. The water quality measurement with MWQS is less expensive than the laboratory analysis required for the other parameters. The water quality data used in the study were obtained by the Geological Survey of Brazil in partnership with other public institutions (i.e. universities and environmental institutes) as part of the project "Integrated Studies in Experimental and Representative Watersheds". Two models were developed to correlate the values of the three measured parameters and the IQA/SCQA values calculated based on all nine parameters. The results were evaluated according to the following validation statistics: coefficient of determination (R2), Root Mean Square Error (RMSE), Akaike information criterion (AIC) and Final Prediction Error (FPE). The first model was a linear stepwise regression between three independent variables

  8. Minimally invasive prediction of ScvO2 in high-risk surgery : The introduction of a model Index of Oxygenation

    NARCIS (Netherlands)

    de Grooth, Harm-Jan S.; Vos, Jaap Jan; Scheeren, Thomas; van Beest, Paul

    2014-01-01

    INTRODUCTION: The purpose of this study was to examine the trilateral relationship between cardiac index (CI), tissue oxygen saturation (StO2) and central venous oxygen saturation (ScvO2) and subsequently develop a model to predict ScvO2 on minimal invasive manner in patients undergoing major electi

  9. Afghanistan Index

    DEFF Research Database (Denmark)

    Linnet, Poul Martin

    2007-01-01

    The Afghanistan index is a compilation of quantitative and qualitative data on the reconstruction and security effort in Afghanistan. The index aims at providing data for benchmarking of the international performance and thus provides the reader with a quick possibility to retrieve valid...... basis. The data are divided into different indicators such as security, polls, drug, social, economic, refugees etc. This represents a practical division and does not indicate that a picture as to for instance security can be obtained by solely looking at the data under security. In order to obtain...... a more valid picture on security this must incorporate an integrated look on all data meaning that for instance the economic data provides an element as to the whole picture of security....

  10. SUBJECT INDEX

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    2, 4, 6-trinitrobenzenesulphonic acid, zinc sulfate, experimental colitis, 2003328AC133 antigen, hematopoietic stem cells, fetal blood, immunophe-notyping, 2003138ALR2 gene, eNOS gene, PON1 gene, RAGE gene, 2003179 ATN-ISI, prognosis, acute renal failure, acute tubular necrosis-individual severity index, acute physiology and chronic health evaluation, 2003118 Alzheimer disease, interleukin-1 beta, tumor necrosis factor alpha,

  11. The analysis of applicability of the refractive-index-matching method for flow investigation by LDA method in models of the fire chambers of complex geometry

    Science.gov (United States)

    Rakhmanov, Vitaly V.; Kulikov, Dmitry V.

    2014-08-01

    Possibility of use of a refractive-index-matching method for flow investigation by LDA method in models of the fire chambers of complex geometry is shown. The technique of flows investigation by LDA method is developed. The given technique can be successfully applied in leading branches of a thermal and hydropower engineering, in case of need of flows diagnostics in models of devices with the complex geometry.

  12. A Model to Predict the Severity of Acute Pancreatitis Based on Serum Level of Amylase and Body Mass Index.

    Science.gov (United States)

    Kumaravel, Arthi; Stevens, Tyler; Papachristou, Georgios I; Muddana, Venkata; Bhatt, Amit; Lee, Peter Junwoo; Holmes, Jordan; Lopez, Rocio; Whitcomb, David C; Parsi, Mansour A

    2015-08-01

    Most patients with acute pancreatitis (AP) develop mild disease, but up to 20% develop severe disease. Many clinicians monitor serum levels of amylase and lipase in an attempt to predict the disease course, but this strategy has not been recommended by practice guidelines. We performed a retrospective analysis to determine whether the percentage changes in amylase and lipase were associated with the severity of disease that developed in patients with AP. We analyzed data collected from 182 consecutive patients with AP (21 with severe AP) admitted to the Cleveland Clinic from January 2008 through May 2010 (discover cohort). The association between 11 different factors and the severity of AP were assessed by univariable analysis; multivariable models were explored through stepwise selection regression. The percentage change in the serum level of amylase was calculated as follows: ([amylase day 1 - amylase day 2]/amylase day 1) × 100. The percentage change in amylase and body mass index (BMI) were combined to generate a z-score (z = -5.9 + [0.14 × BMI] + [0.01 × percentage change in amylase]), which was converted into a probability distribution called the change in amylase and BMI (CAB) score. The CAB score was validated using the AP database at the University of Pittsburgh Medical Center (140 patients, 35 with severe AP); we calculated p-scores for each patient and estimated the area under the receiver operating characteristics curve values. Univariable analysis identified the percentage change in the serum level of amylase and other factors to be associated significantly with the severity of AP (P = .017). The CAB score was best at identifying patients who developed severe AP, with an area under the receiver operating characteristics curve value of 0.79 in the discovery cohort (95% confidence interval, 0.71-0.87) and 0.731 in the validation cohort (95% confidence interval, 0.61-0.84). We developed a model to identify patients most likely to develop severe AP

  13. Fast decision tree-based method to index large DNA-protein sequence databases using hybrid distributed-shared memory programming model.

    Science.gov (United States)

    Jaber, Khalid Mohammad; Abdullah, Rosni; Rashid, Nur'Aini Abdul

    2014-01-01

    In recent times, the size of biological databases has increased significantly, with the continuous growth in the number of users and rate of queries; such that some databases have reached the terabyte size. There is therefore, the increasing need to access databases at the fastest rates possible. In this paper, the decision tree indexing model (PDTIM) was parallelised, using a hybrid of distributed and shared memory on resident database; with horizontal and vertical growth through Message Passing Interface (MPI) and POSIX Thread (PThread), to accelerate the index building time. The PDTIM was implemented using 1, 2, 4 and 5 processors on 1, 2, 3 and 4 threads respectively. The results show that the hybrid technique improved the speedup, compared to a sequential version. It could be concluded from results that the proposed PDTIM is appropriate for large data sets, in terms of index building time.

  14. GIS-based assessment of landslide susceptibility using certainty factor and index of entropy models for the Qianyang County of Baoji city, China

    Indian Academy of Sciences (India)

    Qiqing Wang; Wenping Li; Wei Chen; Hanying Bai

    2015-10-01

    The main goal of this study is to produce landslide susceptibility maps for the Qianyang County of Baoji city, China, using both certainty factor (CF) and index of entropy (IOE) models. At first, a landslide inventory map was prepared using earlier reports and aerial photographs as well as by carrying out field surveys. A total of 81 landslide locations were detected. Out of these, 56 (70%) landslides were randomly selected as training data for building landslide susceptibility models and the remaining 25 (30%) were used for the validation purposes. Then, a total number of 15 landslide causative factors, such as slope angle, slope aspect, general curvature, plan curvature, profile curvature, altitude, distance to faults, distance to rivers, distance to roads, the sediment transport index (STI), the stream power index (SPI), the topographic wetness index (TWI), geomorphology, lithology, and rainfall, were used in the analysis. The susceptibility maps produced using CF and IOE models had five different susceptibility classes such as very low, low, moderate, high, and very high. Finally, the output maps were validated using the validation data (i.e., 30% landslide location data that was not used during the model construction), using the area under the curve (AUC) method. The `success rate' curve showed that the area under the curve for CF and IOE models were 0.8433 (84.33%) and 0.8227 (82.27%) accuracy, respectively. Similarly, the validation result showed that the susceptibility map using CF model has the higher prediction accuracy of 82.32%, while for IOE model it was 80.88%. The results of this study showed that the two landslide susceptibility maps obtained were successful and can be used for preliminary land use planning and hazard mitigation purpose.

  15. Study on Market Stability and Price Limit of Chinese Stock Index Futures Market: An Agent-Based Modeling Perspective.

    Science.gov (United States)

    Xiong, Xiong; Nan, Ding; Yang, Yang; Yongjie, Zhang

    2015-01-01

    This paper explores a method of managing the risk of the stock index futures market and the cross-market through analyzing the effectiveness of price limits on the Chinese Stock Index 300 futures market. We adopt a cross-market artificial financial market (include the stock market and the stock index futures market) as a platform on which to simulate the operation of the CSI 300 futures market by changing the settings of price limits. After comparing the market stability under different price limits by appropriate liquidity and volatility indicators, we find that enhancing price limits or removing price limits both play a negative impact on market stability. In contrast, a positive impact exists on market stability if the existing price limit is maintained (increase of limit by10%, down by 10%) or it is broadened to a proper extent. Our study provides reasonable advice for a price limit setting and risk management for CSI 300 futures.

  16. Study on Market Stability and Price Limit of Chinese Stock Index Futures Market: An Agent-Based Modeling Perspective.

    Directory of Open Access Journals (Sweden)

    Xiong Xiong

    Full Text Available This paper explores a method of managing the risk of the stock index futures market and the cross-market through analyzing the effectiveness of price limits on the Chinese Stock Index 300 futures market. We adopt a cross-market artificial financial market (include the stock market and the stock index futures market as a platform on which to simulate the operation of the CSI 300 futures market by changing the settings of price limits. After comparing the market stability under different price limits by appropriate liquidity and volatility indicators, we find that enhancing price limits or removing price limits both play a negative impact on market stability. In contrast, a positive impact exists on market stability if the existing price limit is maintained (increase of limit by10%, down by 10% or it is broadened to a proper extent. Our study provides reasonable advice for a price limit setting and risk management for CSI 300 futures.

  17. Image based remote sensing method for modeling black-eyed beans (Vigna unguiculata) Leaf Area Index (LAI) and Crop Height (CH) over Cyprus

    Science.gov (United States)

    Papadavid, Giorgos; Fasoula, Dionysia; Hadjimitsis, Michael; Skevi Perdikou, P.; Hadjimitsis, Diofantos

    2013-03-01

    In this paper, Leaf Area Index (LAI) and Crop Height (CH) are modeled to the most known spectral vegetation index — NDVI — using remotely sensed data. This approach has advantages compared to the classic approaches based on a theoretical background. A GER-1500 field spectro-radiometer was used in this study in order to retrieve the necessary spectrum data for estimating a spectral vegetation index (NDVI), for establishing a semiempirical relationship between black-eyed beans' canopy factors and remotely sensed data. Such semi-empirical models can be used then for agricultural and environmental studies. A field campaign was undertaken with measurements of LAI and CH using the Sun-Scan canopy analyzer, acquired simultaneously with the spectroradiometric (GER1500) measurements between May and June of 2010. Field spectroscopy and remotely sensed imagery have been combined and used in order to retrieve and validate the results of this study. The results showed that there are strong statistical relationships between LAI or CH and NDVI which can be used for modeling crop canopy factors (LAI, CH) to remotely sensed data. The model for each case was verified by the factor of determination. Specifically, these models assist to avoid direct measurements of the LAI and CH for all the dates for which satellite images are available and support future users or future studies regarding crop canopy parameters.

  18. The Solar Spectral Irradiance as a Function of the Mg II Index for Atmosphere and Climate Modelling

    Science.gov (United States)

    Thuillier, Gerard; DeLand, Matthew; Shapiro, Alexander; Schmutz, Werner; Bolsee, David; Melo, Stella

    2011-01-01

    In this paper we present a new method to reconstruct the solar spectrum irradiance in the Ly alpha-400 nm region, and its variability, based on the Mg II index and neutron monitor. Measurements of the solar spectral irradiance available in the literature have been made with different instruments at different times and different spectral ranges. However, climate studies require harmonized data sets. This new approach has the advantage of being independent of the absolute calibration and aging of the instruments. First, the Mg II index is derived using solar spectra from Ly alpha (121 nm) to 410 nm measured from 1978 to 2010 by several space missions. The variability of the spectra with respect to a chosen reference spectrum as a function of time and wavelength is scaled to the derived Mg II index. The set of coefficients expressing the spectral variability can be applied to the chosen reference spectrum to reconstruct the solar spectra within a given time frame or Mg II index values. The accuracy of this method is estimated using two approaches: by direct comparison with particular cases where solar spectra are available from independent measurements, and by calculating the standard deviation between the measured spectra and their reconstruction. From direct comparisons with measurements we obtain an accuracy of about 1 to 2 %, which degrades towards Ly alpha. In a further step, we extend our solar spectral irradiance reconstruction back to the Maunder Minimum introducing the relationship between the Mg II index and the neutron monitor data. Consistent measurements of the Mg II index are not available prior to 1978. However, we observe that over the last three solar cycles, the Mg II index shows strong correlation with the modulation potential determined from the neutron monitor data. Assuming that this correlation can be applied to the past, we reconstruct the Mg II index from the modulation potential back to the Maunder Minimum, and obtain the corresponding solar

  19. Binary classification of dyslipidemia from the waist-to-hip ratio and body mass index: a comparison of linear, logistic, and CART models

    Directory of Open Access Journals (Sweden)

    Paccaud Fred

    2004-04-01

    Full Text Available Abstract Background We sought to improve upon previously published statistical modeling strategies for binary classification of dyslipidemia for general population screening purposes based on the waist-to-hip circumference ratio and body mass index anthropometric measurements. Methods Study subjects were participants in WHO-MONICA population-based surveys conducted in two Swiss regions. Outcome variables were based on the total serum cholesterol to high density lipoprotein cholesterol ratio. The other potential predictor variables were gender, age, current cigarette smoking, and hypertension. The models investigated were: (i linear regression; (ii logistic classification; (iii regression trees; (iv classification trees (iii and iv are collectively known as "CART". Binary classification performance of the region-specific models was externally validated by classifying the subjects from the other region. Results Waist-to-hip circumference ratio and body mass index remained modest predictors of dyslipidemia. Correct classification rates for all models were 60–80%, with marked gender differences. Gender-specific models provided only small gains in classification. The external validations provided assurance about the stability of the models. Conclusions There were no striking differences between either the algebraic (i, ii vs. non-algebraic (iii, iv, or the regression (i, iii vs. classification (ii, iv modeling approaches. Anticipated advantages of the CART vs. simple additive linear and logistic models were less than expected in this particular application with a relatively small set of predictor variables. CART models may be more useful when considering main effects and interactions between larger sets of predictor variables.

  20. Development of turbidity estimation model using SMA and water turbidity index Application to the Kushiro Mire, japan--

    Science.gov (United States)

    Kameyama, S.; Yamagata, Y.; Nakamura, F.; Kaneko, M.

    2003-04-01

    A new Water Turbidity Index (WTI) based on multi spectral images was developed and tested at The Kushiro Mire, the largest mire in Japan.The Kushiro Mire designated by the Ramsar Convention in 1980, presently faces a serious problem with turbid water flooding. Shortening of stream channels, associated with agricultural development, is a major cause of streambed aggradations. The aggradation reduces the carrying capacity of the channel, resulting in sediment-laden water spilling over into the wetlands during a flood event. An algorithm for turbidity estimation was developed and applied to Landsat TM images to monitor the turbid water on the mire surface during the snow-melting season. We used Spectral Mixture Analysis (SMA) to produce a turbidity estimation model. The SMA 'unmixes' a mixed pixel determining the fractions due to each spectral endmember. In this study we used four endmembers (1. alder, 2. reed, 3. high- concentration turbid water (485ppm), 4. low- concentration turbid water (10ppm) measured in the test site. The WTI was determined by the following equation: WTI = amax / ( amax + amin ), where amax is abundance of high- concentration turbid water and amin is abundance of low- concentration turbid water. The endmember spectra of alder and reed were measured in the laboratory using specimens collected at the test site. The spectrum of turbid water was measured at the test sites. The relative abundance of each endmember was estimated based on this spectral information using SMA. The same formula was applied to Landsat TM images. Then we applied the WTI equation to the endmember images to obtain a WTI map. In the mire wetland region, turbid water spreads under alder trees and reed grasses. To verify our turbidity estimation method based on WTI under these conditions, we constructed a small experimental wetland consisting of mixed stands of alder and reed. WTI was calculated from the mixed spectrum of this "artificial wetland" and the regression curve for