Miracle-dz/UniFAR-FTUs huggingface dataset:
Withania coagulans Fruit Extract Reduces Oxidative Stress and Inflammation in Kidneys of Streptozotocin-Induced Diabetic Rats

The present study was carried out to investigate the changes in oxidative and inflammatory status in streptozotocin-induced diabetic rat's kidneys and serum following treatment with Withania coagulans, a popular herb of ethnomedicinal significance. The key markers of oxidative stress and inflammation such as inflammatory cytokines (IL-1β, IL-6, and TNF-α) and immunoregulatory cytokines (IL-4 and IFN-γ) were increased in kidneys along with significant hyperglycemia. However, treatment of four-month diabetic rats with Withania coagulans (10 mg/kg) for 3 weeks significantly attenuated hyperglycemia and reduced the levels of proinflammatory cytokines in kidneys. In addition, Withania coagulans treatment restored the glutathione levels and inhibited lipid peroxidation along with marked reduction in kidney hypertrophy. The present study demonstrates that Withania coagulans corrects hyperglycemia and maintained antioxidant status and reduced the proinflammatory markers in kidneys, which may subsequently reduce the development and progression of renal injury in diabetes. The results of the present study are encouraging for its potential use to delay the onset and progression of diabetic renal complications. However, the translation of therapeutic efficacy in humans requires further studies.
of the Maximum Partial Likelihood Estimator for Nested-Case Control Sampling

This invention relates to a method for forming an aqueous polymeric dispersion incorporating a wax. To form the aqueous dispersion, a polymer is formed by polymerizing at least one ethylenically unsaturated monomer under conditions for forming a polymer suspended in an aqueous medium in the presence of said wax. The polymerization of the monomer in the presence of a wax in finely divided form permits the formation of a stable dispersion having excellent properties. The surfactant system is a multiple system consisting of a nonionic and/or anionic surfactant and/or an alkali metal salt of a fatty acid ester.
Reconceptualizing Users as Social Actors in Information Systems Research

A concept of the user is fundamental to much of the research and practice of information systems design, development, and evaluation. User-centered information studies have relied on individualistic cognitive models to carefully examine the criteria that influence the selection of information and communication technologies (ICTs) that people make. In many ways, these studies have improved our understanding of how a good information resource fits the people who use it. However, research approaches based on an individualistic user concept are limited. In this paper, we examine the theoretical constructs that shape this user concept and contrast these with alternative views that help to reconceptualize the user as a social actor. Despite pervasive ICT use, social actors are not primarily users of ICTs. Most people who use ICT applications utilize multiple applications, in various roles, and as part of their efforts to produce goods and services while interacting with a variety of other people, and often in multiple social contexts. Moreover, the socially thin user construct limits our understanding of information selection, manipulation, communication, and exchange within complex social contexts. Using analyses from a recent study of online information service use, we develop an institutionalist concept of a social actor whose everyday interactions are infused with ICT use. We then encourage a shift from the user concept to a concept of the social actor in IS research. We suggest that such a shift will sharpen perceptions of how organizational contexts shape ICT-related practices, and at the same time will help researchers more accurately portray the complex and multiple roles that people fulfill while adopting, adapting, and using information systems.
Performance Evaluation of the IEEE 802.16 MAC for QoS Support

The IEEE 802.16 is a standard for broadband wireless communication in metropolitan area networks (MAN). To meet the QoS requirements of multimedia applications, the IEEE 802.16 standard provides four different scheduling services: unsolicited grant service (UGS), real-time polling service (rtPS), non-real-time polling service (nrtPS), and Best Effort (BE). The paper is aimed at verifying, via simulation, the effectiveness of rtPS, nrtPS, and BE (but UGS) in managing traffic generated by data and multimedia sources. Performance is assessed for an IEEE 802.16 wireless system working in point-to-multipoint (PMP) mode, with frequency division duplex (FDD), and with full-duplex subscriber stations (SSs). Our results show that the performance of the system, in terms of throughput and delay, depends on several factors. These include the frame duration, the mechanisms for requesting uplink bandwidth, and the offered load partitioning, i.e., the way traffic is distributed among SSs, connections within each SS, and traffic sources within each connection. The results also highlight that the rtPS scheduling service is a very robust scheduling service for meeting the delay requirements of multimedia applications
risk / need in penality Criminogenic needs and the transformative risk subject : Hybridizations of

This article examines the discrepancies between theories of risk and penality and emergent strategies of risk/need identification and management. Working back from the strategies themselves, I argue that the current generations of risk/need technologies are a significant departure from the pessimistic theoretical accounts of risk in criminal justice associated with the ‘new penology’ and ‘actuarial justice’. I argue that risk knowledges are fluid and flexible and capable of supporting a range of penal strategies. The evolution and meanings of risk in correctional assessment and classification are examined to show how understandings of risk have shifted from static to dynamic categorizations. I show how the concept of need is fused with risk, how particular conceptions of ‘need’ and ‘risk’ are situated in local penal narratives, how need reconstructs risk and revives correctional treatment as an efficient risk minimization strategy. I argue that strategic alignment of risk with narrowly defined intervenable needs contributes to the production of a transformative risk subject who unlike the ‘fixed or static risk subject’ is amenable to targeted therapeutic interventions. Newly formed risk/ needs categorizations and subsequent management strategies give rise to a new politics of punishment, in which different risk/needs groupings compete for limited resources, discredit collective group claims to resources, redistribute responsibilities for risk/needs management and legitimate both inclusive and exclusionary penal strategies.
Neurokinin‐1 receptor antagonist treatment protects mice against lung injury in polymicrobial sepsis

Earlier work from our laboratory has suggested a role for the neuropeptide substance P (SP) in inducing lung injury in sepsis. In that study, mice lacking the preprotachykinin‐A gene, which encodes for SP, were protected against lung injury in sepsis. To further substantiate the role of SP in sepsis and to study its mchanism, we have evaluated the effect of SR140333, a SP receptor antagonist, on lung injury in sepsis, which was induced in male Swiss mice by cecal ligation and puncture (CLP). Sham‐operated animals received the same surgical procedure, except CLP. Vehicle or SR140333 (1 mg/kg, s.c.) was administered to CLP mice 30 min before or 1 h after the CLP. Eight hours after surgery, lung tissue was collected and analyzed for myeloperoxidase (MPO) activity, chemokines, cytokines, and adhesion molecules. The CLP procedure alone caused a significant increase in the lung levels of MIP‐2, MCP‐1, IL‐1β, IL‐6, ICAM‐1, E‐ and P‐selectin, and MPO activity when compared with sham‐operated mice. SR140333 injected 30 min before or 1 h after CLP significantly attenuated the increased lung MPO activity and levels of MIP‐2, MCP‐1, IL‐1β, IL‐6, ICAM‐1, and E‐ and P‐selectin compared with CLP‐operated mice injected with the vehicle. Histological evaluation of the lung sections further supported the beneficial effect of SR140333 on lung inflammation. Therefore, SP receptor antagonism can be a potential therapeutic target in polymicrobial sepsis, and this effect is brought about via reduction in leukocyte recruitment.
Three-Month Real-Time Dengue Forecast Models: An Early Warning System for Outbreak Alerts and Policy Decision Support in Singapore

Background: With its tropical rainforest climate, rapid urbanization, and changing demography and ecology, Singapore experiences endemic dengue; the last large outbreak in 2013 culminated in 22,170 cases. In the absence of a vaccine on the market, vector control is the key approach for prevention. Objectives: We sought to forecast the evolution of dengue epidemics in Singapore to provide early warning of outbreaks and to facilitate the public health response to moderate an impending outbreak. Methods: We developed a set of statistical models using least absolute shrinkage and selection operator (LASSO) methods to forecast the weekly incidence of dengue notifications over a 3-month time horizon. This forecasting tool used a variety of data streams and was updated weekly, including recent case data, meteorological data, vector surveillance data, and population-based national statistics. The forecasting methodology was compared with alternative approaches that have been proposed to model dengue case data (seasonal autoregressive integrated moving average and step-down linear regression) by fielding them on the 2013 dengue epidemic, the largest on record in Singapore. Results: Operationally useful forecasts were obtained at a 3-month lag using the LASSO-derived models. Based on the mean average percentage error, the LASSO approach provided more accurate forecasts than the other methods we assessed. We demonstrate its utility in Singapore’s dengue control program by providing a forecast of the 2013 outbreak for advance preparation of outbreak response. Conclusions: Statistical models built using machine learning methods such as LASSO have the potential to markedly improve forecasting techniques for recurrent infectious disease outbreaks such as dengue. Citation: Shi Y, Liu X, Kok SY, Rajarethinam J, Liang S, Yap G, Chong CS, Lee KS, Tan SS, Chin CK, Lo A, Kong W, Ng LC, Cook AR. 2016. Three-month real-time dengue forecast models: an early warning system for outbreak alerts and policy decision support in Singapore. Environ Health Perspect 124:1369–1375; http://dx.doi. org/10.1289/ehp.1509981
Valproic acid in combination with all-trans retinoic acid and intensive therapy for acute myeloid leukemia in older patients.

The outcome of patients with acute myeloid leukemia who are older than 60 years has remained poor because of unfavorable disease characteristics and patient-related factors. The randomized German-Austrian AML Study Group 06-04 protocol was designed on the basis of in vitro synergistic effects of valproic acid (VPA) and all-trans retinoic acid with chemotherapy. Between 2004 and 2006, 186 patients were randomly assigned to receive 2 induction cycles with idarubicin, cytarabine, and all-trans retinoic acid either with VPA or without (STANDARD). In all patients, consolidation therapy was intended. Complete remission rates after induction tended to be lower in VPA compared with STANDARD (40% vs 52%; P = .14) as a result of a higher early death rate (26% vs 14%; P = .06). The main toxicities attributed to VPA were delayed hematologic recovery and grade 3/4 infections, observed predominantly during the second induction cycle. After restricting VPA to the first induction cycle and reducing the dose of idarubicin, these toxicities dropped to rates observed in STANDARD. After a median follow-up time of 84 months, event-free and overall survival were not different between the 2 groups (P = .95 and P = .57, respectively). However, relapse-free-survival was significantly superior in VPA compared with STANDARD (24.4% vs 6.4% at 5 years; P = .02). Explorative subset analyses revealed that AML with mutated Nucleophosmin 1 (NPM1) may particularly benefit from VPA. This trial was registered at www.clinicaltrials. gov as #NCT00151255.
Seasonal Asset Allocation: Evidence from Mutual Fund Flows

We analyze the flow of money between mutual fund categories, finding strong evidence of seasonality in investor risk aversion. Aggregate investor flow data reveal an investor preference for safe mutual funds in autumn and risky funds in spring. During September alone, outflows from equity funds average $13 billion, controlling for previously documented flow determinants (e.g., capital-gains overhang). This movement of large amounts of money between fund categories is correlated with seasonality in investor risk aversion, consistent with investors preferring safer (riskier) investments in autumn (spring). We find consistent evidence in Canada and also in Australia, where seasons are offset by 6 months.
Antecedents and consequences of employee engagement revisited

Purpose In 2006, Saks (2006) published one of the first empirical studies of the antecedents and consequences of employee engagement. Since then dozens of studies on engagement have been published and most of them have used the Utrecht Work Engagement Scale (UWES) to measure work engagement. The purpose of this paper is to revisit Saks (2006) to try and address some issues that have arisen during the last ten years and to assess the generalizability of his findings and model using the UWES measure of work engagement and single-item measures of job and organization engagement. Design/methodology/approach Additional analyses was conducted using the data from Saks (2006) including measures of each job characteristic, the use of the UWES measure of work engagement, and single-item general measures of job engagement and organization engagement. In addition, a review of engagement research was conducted as well as research that used Saks’ (2006) measures of job engagement and organization engagement. Findings The results indicate that skill variety is the main job characteristic that predicts job engagement. The results of the analysis using the UWES measure of work engagement found that job characteristics and perceived organizational support are significant predictors of work engagement, and work engagement predicts job satisfaction, organizational commitment, organizational citizenship behavior and intentions to quit and mediates the relationship between the antecedents and the consequences. Similar results were found using the single-item measures of job engagement and organization engagement. A review of the engagement literature indicates general support for the Saks (2006) model of the antecedents and consequences of employee engagement and for his measures of job and organization engagement. A revised and updated model is provided with additional antecedents and consequences. Practical implications The results indicate that organizations can drive employee engagement by focusing on skill variety as well as providing social support, rewards and recognition, procedural and distributive fairness, and opportunities for learning and development. In addition, organizations can assess employee engagement more frequently and easily by using single-item measures of job and organization engagement. Originality/value This paper provides an update and revision of the Saks (2006) model of employee engagement and suggests that the main findings are similar when using the UWES measure of work engagement and single-item general measures of job engagement and organization engagement.
Asset Pricing and Portfolio Choice Theory

In the 2nd edition of Asset Pricing and Portfolio Choice Theory, Kerry E. Back offers a concise yet comprehensive introduction to and overview of asset pricing. Intended as a textbook for asset pricing theory courses at the Ph.D. or Masters in Quantitative Finance level with extensive exercises and a solutions manual available for professors, the book is also an essential reference for financial researchers and professionals, as it includes detailed proofs and calculations as section appendices. The first two parts of the book explain portfolio choice and asset pricing theory in single-period, discrete-time, and continuous-time models. For valuation, the focus throughout is on stochastic discount factors and their properties. A section on derivative securities covers the usual derivatives (options, forwards and futures, and term structure models) and also applications of perpetual options to corporate debt, real options, and optimal irreversible investment. A chapter on "explaining puzzles " and the last part of the book provide introductions to a number of additional current topics in asset pricing research, including rare disasters, long-run risks, external and internal habits, asymmetric and incomplete information, heterogeneous beliefs, and non-expected-utility preferences. Each chapter includes a "Notes and References" section providing additional pathways to the literature. Each chapter also includes extensive exercises.
Locally oriented perception with intact global processing among adolescents with high-functioning autism: evidence from multiple paradigms.

BACKGROUND According to predictions from the Weak Central Coherence (WCC) theory for perceptual processing, persons with autism should display a tendency to focus on minute details rather than on a more general picture (Frith & Happé, 1994). However, the evidence for this theory is not consistent with findings of an enhanced detection of local targets (Plaisted, O'Riordan, & Baron-Cohen, 1998b; Plaisted, Swettenham, & Rees, 1999), but a typical global bias (Mottron, Burack, Stauder, & Robaey, 1999; Ozonoff, Strayer, McMahon, & Filloux, 1994). METHOD Adolescents with high-functioning autism and CA- (approximately 15 years) and IQ- (approximately 105-110) matched typically developing adolescents were administered a series of global-local visual tasks, including a traditional task of hierarchical processing, three tasks of configural processing, and a disembedding task that involved rapid perceptual processing. RESULTS No group differences were found on either the traditional task of hierarchical processing or on tasks of configural processing. However, group differences were found on the disembedding task as the search for embedded, in relation to isolated stimuli, was slower for the typically developing adolescents but similar for the participants with autism. CONCLUSIONS These findings are consistent with other reports of superior performance in detecting embedded figures (Jolliffe & Baron-Cohen, 1997; Shah & Frith, 1983), but typical performance in global and configural processing (Mottron, Burack et al., 1999; Ozonoff et al., 1994) among persons with high-functioning autism. Thus, the notions of local bias and global impairment that are part of WCC may need to be reexamined.
Change impact analysis and its regression test effort estimation

Software maintenance is the most demanding and effort-consuming phase in software development. It has been recognized as being a tedious step in software development process. Two basic activities in software maintenance are the understanding of the system and the assessment of the potential effects of a change. A change to a system, however small, can lead to several accidental effects, which are often not obvious and easy to identify. The main purpose of impact analysis is not only to find the impact set in terms of coding elements but also in terms of effort and resources required for implementing the change so that analysts could analyze the impact of the requested change in terms of budget. The objective of this paper is to find the impact set of the change requested by user or client. By using the impact set we estimate the regression test effort. We illustrate our results with a case study. As the results of this work, we get the impact set having impact element as class names with respect to the requested change, the test suite and the effort required for regression testing after the implementation of the requested change.
Current Controversies in Diagnosis and Management of Cleft Palate and Velopharyngeal Insufficiency

Background. One of the most controversial topics concerning cleft palate is the diagnosis and treatment of velopharyngeal insufficiency (VPI). Objective. This paper reviews current genetic aspects of cleft palate, imaging diagnosis of VPI, the planning of operations for restoring velopharyngeal function during speech, and strategies for speech pathology treatment of articulation disorders in patients with cleft palate. Materials and Methods. An updated review of the scientific literature concerning genetic aspects of cleft palate was carried out. Current strategies for assessing and treating articulation disorders associated with cleft palate were analyzed. Imaging procedures for assessing velopharyngeal closure during speech were reviewed, including a recent method for performing intraoperative videonasopharyngoscopy. Results. Conclusions from the analysis of genetic aspects of syndromic and nonsyndromic cleft palate and their use in its diagnosis and management are presented. Strategies for classifying and treating articulation disorders in patients with cleft palate are presented. Preliminary results of the use of multiplanar videofluoroscopy as an outpatient procedure and intraoperative endoscopy for the planning of operations which aimed to correct VPI are presented. Conclusion. This paper presents current aspects of the diagnosis and management of patients with cleft palate and VPI including 3 main aspects: genetics and genomics, speech pathology and imaging diagnosis, and surgical management.
A New Fast Single-Image Defog Algorithm

Based on the physical model of atmospheric scattering and the optical reflectance imaging model, three major factors which affect the effect of fog removal are discussed in detail, dark channel phenomenon is explained via the optical model, and an approach for solving the parameter in the atmospheric scattering model is rigorously derived from a new perspective. Using gray-scale opening operation and fast joint bilateral filtering techniques, the proposed algorithm can effectively obtain the global atmospheric light and greatly improve the speed and accuracy of atmospheric scattering function solving. Finally, the scene albedo is recovered by inverting this model. Compared with existing algorithms, complexity of the proposed method is only a linear function of the number of input image pixels and this allows a very fast implementation. The simulation results show that the processing time of images with a resolution of 576*768 is only 1.7s, Results on a variety of outdoor foggy images demonstrate that the proposed method achieves good restoration for contrast and color fidelity, resulting in a great improvement in image visibility.
Stellar Populations: High Spectral Resolution Libraries. Improved TP-AGB Treatment

I present a short description of the STELIB, HNGSL, IndoUS, MILES, ELODIE, UVES-POP, and IRTF libraries of empirical stellar spectra and show some applications of their use in population synthesis models. When new calculations of the TP-AGB evolutionary phase for stars of different mass and metallicity are included in population synthesis models, the stellar mass in galaxies at z from 1 to 3 determined from spectro-photometric data can be up to 50% lower than the mass determined from the BC03 models. The ages inferred for these populations are considerably lower than the BC03 estimates.