Miracle-dz/UniFAR-FTUs huggingface dataset:
Binocular rivalry alternations and their relation to visual adaptation

When different stimuli are presented dichoptically, perception alternates between the two in a stochastic manner. After a long-lasting and rigorous debate, there is growing consensus that this phenomenon, known as binocular rivalry (BR), is the result of a dynamic competition occurring at multiple levels of the visual hierarchy. The role of low- and high-level adaptation mechanisms in controlling these perceptual alternations has been a key issue in the rivalry literature. Both types of adaptation are dispersed throughout the visual system and have an equally influential, or even causal, role in determining perception. Such an explanation of BR is also in accordance with the relationship between the latter and attention. However, an overall explanation of this intriguing perceptual phenomenon needs to also include noise as an equally fundamental process involved in the stochastic resonance of perceptual bistability.
Effect of Test-Based versus Presumptive Treatment of Malaria in Under-Five Children in Rural Ghana – A Cluster-Randomised Trial

Background Malaria-endemic countries in sub-Saharan Africa are shifting from the presumptive approach that is based on clinical judgement (CJ) to the test-based approach that is based on confirmation through test with rapid diagnostic tests (RDT). It has been suggested that the loss of the prophylactic effect of presumptive-administered ACT in children who do not have malaria will result in increase in their risk of malaria and anaemia. Methods and Findings We undertook a cluster-randomized controlled trial to compare the effects of the presumptive approach using clinical judgment (CJ-arm) and the test-based approach using RDTs (RDT-arm in a high-transmission setting in Ghana. A total of 3046 eligible children (1527 in the RDT arm and 1519 in the CJ- arm) living around 32 health centres were enrolled. Nearly half were female (48.7%) and 47.8% were below the age of 12 months as at enrolment. Over 24-months, the incidence of all episodes of malaria following the first febrile illness was 0.64 (95% CI 0.49–0.82) and 0.76 (0.63–0.93) per child per year in the RDT and CJ arms respectively (adjusted rate ratio 1.13 (0.82–1.55). After the first episode of febrile illness, the incidence of severe anaemia was the same in both arms (0.11 per child per year) and that of moderate anaemia was 0.16 (0.13–0.21) vs. 0.17 (0.14–0.21) per child year respectively. The incidence of severe febrile illness was 0.15 (0.09, 0.24) in the RDT arm compared to 0.17 (0.11, 0.28) per child per year respectively. The proportion of fever cases receiving ACT was lower in the RDT arm (72% vs 81%; p = 0.02). Conclusion The test-based approach to the management of malaria did not increase the incidence of malaria or anaemia among under-five children in this setting. Trial Registration ClinicalTrials.gov NCT00832754
Genome-Wide Scan for Adaptive Divergence and Association with Population-Specific Covariates

In population genomics studies, accounting for the neutral covariance structure across population allele frequencies is critical to improve the robustness of genome-wide scan approaches. Elaborating on the BayEnv model, this study investigates several modeling extensions (i) to improve the estimation accuracy of the population covariance matrix and all the related measures, (ii) to identify significantly overly differentiated SNPs based on a calibration procedure of the XtX statistics, and (iii) to consider alternative covariate models for analyses of association with population-specific covariables. In particular, the auxiliary variable model allows one to deal with multiple testing issues and, providing the relative marker positions are available, to capture some linkage disequilibrium information. A comprehensive simulation study was carried out to evaluate the performances of these different models. Also, when compared in terms of power, robustness, and computational efficiency to five other state-of-the-art genome-scan methods (BayEnv2, BayScEnv, BayScan, flk, and lfmm), the proposed approaches proved highly effective. For illustration purposes, genotyping data on 18 French cattle breeds were analyzed, leading to the identification of 13 strong signatures of selection. Among these, four (surrounding the KITLG, KIT, EDN3, and ALB genes) contained SNPs strongly associated with the piebald coloration pattern while a fifth (surrounding PLAG1) could be associated to morphological differences across the populations. Finally, analysis of Pool-Seq data from 12 populations of Littorina saxatilis living in two different ecotypes illustrates how the proposed framework might help in addressing relevant ecological issues in nonmodel species. Overall, the proposed methods define a robust Bayesian framework to characterize adaptive genetic differentiation across populations. The BayPass program implementing the different models is available at http://www1.montpellier. inra.fr/CBGP/software/baypass/.
Impact of Environmentally Based Chemical Hardness on Uranium Speciation and Toxicity in Six Aquatic Species

Treated effluent discharge from uranium (U) mines and mills elevates the concentrations of U, calcium (Ca), magnesium (Mg), and sulfate (SO42–) above natural levels in receiving waters. Many investigations on the effect of hardness on U toxicity have been experiments on the combined effects of changes in hardness, pH, and alkalinity, which do not represent water chemistry downstream of U mines and mills. Therefore, more toxicity studies with water chemistry encountered downstream of U mines and mills are necessary to support predictive assessments of impacts of U discharge to the environment. Acute and chronic U toxicity laboratory bioassays were realized with 6 freshwater species in waters of low alkalinity, circumneutral pH, and a range of chemical hardness as found in field samples collected downstream of U mines and mills. In laboratory‐tested waters, speciation calculations suggested that free uranyl ion concentrations remained constant despite increasing chemical hardness. When hardness increased while pH remained circumneutral and alkalinity low, U toxicity decreased only to Hyalella azteca and Pseudokirchneriella subcapitata. Also, Ca and Mg did not compete with U for the same uptake sites. The present study confirms that the majority of studies concluding that hardness affected U toxicity were in fact studies in which alkalinity and pH were the stronger influence. The results thus confirm that studies predicting impacts of U downstream of mines and mills should not consider chemical hardness. Environ Toxicol Chem 2015;34:562–574. © 2014 The Authors. Published by Wiley Periodicals, Inc. on behalf of SETAC
Disentangling the Performance and Entrenchment Effect of Family Shareholding: A Study of Indian Corporate Governance

Using an econometric framework, we examine the nature of relation between Tobin's Q and family shareholding in India. While there is no obvious causality laid down by theoretical literature, empirical evidences show a wide range of findings. In the present work, by controlling for a host of factors, we document a non-linear relation between family share holding and firm value. In the literature, the issue of endogenous problem is highlighted in the context of ownership-performance relation. We address this concern via the instrumental variable regression method. Even though the curvilinear aspect of the relation between firm value and insider share remain intact in all of the specifications, our model statistics do not trace any endogenous problem in the data.
Digital libraries for the poor : facilitating bottom-up innovation through video-based learning platform

Community-driven programs in South Asia have traditionally used local facilitators to disseminate information and external best practices. However, the massive scale of these programs has made this strategy both a time-consuming and an expensive exercise. Livelihoods projects in Bihar, Andhra Pradesh, Jharkhand, and Madhya Pradesh have piloted an innovative information and communications technology (ICT) based rural digital libraries project in collaboration with digital green, a non-profit organization in India. Digital green trains members of local communities about group facilitation, videography, and basic video production. These libraries are a decentralized, localized solution that combines the institutional platform with a digital knowledge platform to create multiple nodes of communication and learning in rural communities across the country. These localized solutions are created by face-to face experiments by communities empowering them and improving the adoption rate of new technologies. Leveraging a video production and screening platform, community organizations have started to develop a localized, scalable model for agricultural extension, financial literacy, health and nutritional awareness, and technology and livelihood training.
Activity Profiling of Papain-Like Cysteine Proteases in Plants1

Transcriptomic and proteomic technologies are generating a wealth of data that are frequently used by scientists to predict the function of proteins based on their expression or presence. However, activity of many proteins, such as transcription factors, kinases, and proteases, depends on posttranslational modifications that frequently are not detected by these technologies. Therefore, to monitor activity of proteases rather than their abundance, we introduce protease activity profiling in plants. This technology is based on the use of biotinylated, irreversible protease inhibitors that react with active proteases in a mechanism-based manner. Using a biotinylated derivative of the Cys protease inhibitor E-64, we display simultaneous activities of many papain-like Cys proteases in extracts from various tissues and from different plant species. Labeling is pH dependent, stimulated with reducing agents, and inhibited specifically by Cys protease inhibitors but not by inhibitors of other protease classes. Using one-step affinity capture of biotinylated proteases followed by sequencing mass spectrometry, we identified proteases that include xylem-specific XCP2, desiccation-induced RD21, and cathepsin B- and aleurain-like proteases. Together, these results demonstrate that this technology can identify differentially activated proteases and/or characterize the activity of a particular protease within complex mixtures.
Adaptive Heuristics

We exhibit a large class of simple rules of behavior, which we call adaptive heuristics, and show that they generate rational behavior in the long run. These adaptive heuristics are based on natural regret measures, and may be viewed as a bridge between rational and behavioral viewpoints. Taken together, the results presented here establish a solid connection between the dynamic approach of adaptive heuristics and the static approach of correlated equilibria.
Simultaneous Synthesis of Multiple Functions using Genetic Programming with Scaffolding

We consider simultaneous evolutionary synthesis of multiple functions, and verify whether such approach leads to computational savings compared to conventional synthesis of functions one-by-one. We also extend the proposed synthesis model with scaffolding, a technique originally intended to facilitate evolution of recursive programs, and consisting in fetching the desired output from a test case, rather than calling a function. Experiment concerning synthesis of list manipulation programs in Scala allows us to conclude that parallel synthesis indeed pays off, and that engagement of scaffolding leads to further improvements.
Novice Programmers and the Problem Description Effect

It is often debated whether a problem presented in a straightforward minimalist fashion is better, or worse, for learning than the same problem presented with a "real-life" or "concrete" context. The presentation, contextualization, or "problem description" has been well studied over several decades in disciplines such as mathematics education and psychology; however, little has been published in the field of computing education. In psychology it has been found that not only the presence of context, but the type of context can have dramatic results on problem success. In mathematics education it has been demonstrated that there are non-mathematical factors in problem presentation that can affect success in solving the problem and learning. The contextual background of a problem can also impact cognitive load, which should be considered when evaluating the effects of context. Further, it has been found that regarding cognitive load, computer science has unique characteristics compared to other disciplines, with the consequence that results from other disciplines may not apply to computer science, thus requiring investigation within computer science. This paper presents a multi-national, multi-institutional study of the effects of problem contextualization on novice programmer success in a typical CS1 exercise.
A comparative study on women empowerment in urban and rural setting in Tamil Nadu

Background: Women empowerment is vital for decision making on nutrition, health-seeking, family planning and economic issues for the family as a whole. In reality, there is prevalence of unequal gender norms among the women in India in urban and rural area. The objective of the study was to compare the empowerment of women in urban and rural setting in Tamil Nadu.Methods: A cross-sectional study was conducted in Nandivaram (RHTC) and Shenoy Nagar (UHTC) attached to Government Kilpauk Medical College among 200 married women of age 15-49 years with a semi-structured questionnaire during June 2018. Data was entered and analyzed in SPSS 16. Chi Square test and logistic regression was used for statistical analysis.Results: Mean age in rural group was 26.74±6.45 years and 30.4±7.35 in urban. Illiterates were 27% in rural and 14% in urban. About 67% were homemakers in rural vs. 43% in urban. About 33% were BPL in rural vs. 21% in urban. Decision making regarding household decisions, about73% in rural vs. 87% urban had participated. In health seeking behavior, 77 % in rural had no say while only 45% in urban. For Family planning, 33% in rural vs. 74% in urban had decision making which were statistically significant. Only 33% contributed to family income in rural vs. 47% in urban.Conclusions: Women empowerment is better in urban setting than rural setting. There is a strong need to create awareness and training in rural setting for better productive life.
Computational higher-dimensional type theory

Formal constructive type theory has proved to be an effective language for mechanized proof. By avoiding non-constructive principles, such as the law of the excluded middle, type theory admits sharper proofs and broader interpretations of results. From a computer science perspective, interest in type theory arises from its applications to programming languages. Standard constructive type theories used in mechanization admit computational interpretations based on meta-mathematical normalization theorems. These proofs are notoriously brittle; any change to the theory potentially invalidates its computational meaning. As a case in point, Voevodsky's univalence axiom raises questions about the computational meaning of proofs. We consider the question: Can higher-dimensional type theory be construed as a programming language? We answer this question affirmatively by providing a direct, deterministic operational interpretation for a representative higher-dimensional dependent type theory with higher inductive types and an instance of univalence. Rather than being a formal type theory defined by rules, it is instead a computational type theory in the sense of Martin-Löf's meaning explanations and of the NuPRL semantics. The definition of the type theory starts with programs; types are specifications of program behavior. The main result is a canonicity theorem stating that closed programs of boolean type evaluate to true or false.
Electronic Sculpting of Ligand-GPCR Subtype Selectivity: The Case of Angiotensin II

GPCR subtypes possess distinct functional and pharmacological profiles, and thus development of subtype-selective ligands has immense therapeutic potential. This is especially the case for the angiotensin receptor subtypes AT1R and AT2R, where a functional negative control has been described and AT2R activation highlighted as an important cancer drug target. We describe a strategy to fine-tune ligand selectivity for the AT2R/AT1R subtypes through electronic control of ligand aromatic-prolyl interactions. Through this strategy an AT2R high affinity (Ki = 3 nM) agonist analogue that exerted 18,000-fold higher selectivity for AT2R versus AT1R was obtained. We show that this compound is a negative regulator of AT1R signaling since it is able to inhibit MCF-7 breast carcinoma cellular proliferation in the low nanomolar range.
ETFs and Underlying REIT Volatility

Executive Summary The U.S. financial markets are continuously evolving as new financial products and innovations are introduced. The effect of these new innovations and products on market performance and investor behavior is of interest to a number of market participants. One recent addition to the market is the REIT Exchange-Traded Fund (ETF). The purpose of this paper is to determine the effect of REIT ETFs on the volatility of the underlying securities. This study examines the trading activity associated with the introduction of REIT ETFs on the volatility of the component REITs. REIT ETFs generally replicate the constituent stocks of a particular REIT index. The focus is on the first domestic REIT ETF, the DJRE ETF which was introduced on June 12, 2000. Data on the returns and the daily high, low, and market closing price are collected from Bloomberg for five samples: (1) the top 7 constituent REITs of the Dow Jones U.S. REIT (DJRE from hereafter) ETF, (2) the 7 constituent REITs without a derivative market held by the DJRE ETF, (3) a match sample for the top holdings and a matched sample for the 7 REITs without a derivative market, and (4) an appropriate relative equity REIT benchmark. An examination of the changes in volatility of the underlying REITs prior to (" pre ") and subsequent to (" post ") the introduction of the REIT ETF is performed using interday GARCH estimation, an intraday volatility measure based on each REITs daily extreme and closing prices, and Levene's homogeneity of variance testing as implemented by Brown and Forsythe (1974). The results show a significant reduction in intraday volatility after the introduction of the DJRE ETF for both the top 7 holding sample and the non-derivative sample relative to their respective matched sample and an equity REIT benchmark. It is further noted that the greatest reduction is realized by the top holding REIT sample which experienced a reduction in intraday volatility of about 18%, whereas the non derivative sample realized a little more than a 15% decrease in intraday volatility. These numbers are relative to the decrease in intraday volatility over the " pre " and " post " period for the respective matched samples, of-0.039% and-0.1288% and relative to the equity REIT index which experienced a decrease in volatility of-0.0144. The relationship between the samples daily trading volume, return and S&P 500 intraday volatility is examined, controlling for …
SECOND LANGUAGE ANXIETY AND ACHIEVEMENT

Abstract Second language (L2) anxiety has been the object of constant empirical and theoretical attention for several decades. As a matter of both theoretical and practical interest, much of the research in this domain has examined the relationship between anxiety and L2 achievement. The present study meta-analyzes this body of research. Following a comprehensive search, a sample of 97 reports were identified, contributing a total of 105 independent samples (N = 19,933) from 23 countries. In the aggregate, the 216 effect sizes (i.e., correlations) reported in the primary studies yielded a mean of r = −. 36 for the relationship between L2 anxiety and language achievement. Moderator analyses revealed effects sizes to vary across different types of language achievement measures, educational levels, target languages, and anxiety types. Overall, this study provides firm evidence for both the negative role of L2 anxiety in L2 learning and the moderating effects of a number of (non)linguistic variables. We discuss the findings in the context of theoretical and practical concerns, and we provide direction for future research.
Alemtuzumab long-term immunologic effect

Objective: To analyze changes in T-helper (Th) subsets, T-regulatory (Treg) cell percentages and function, and mRNA levels of immunologically relevant molecules during a 24-month follow-up after alemtuzumab treatment in patients with relapsing-remitting multiple sclerosis (RRMS). Methods: Multicenter follow-up of 29 alemtuzumab-treated patients with RRMS in the Comparison of Alemtuzumab and Rebif Efficacy in Multiple Sclerosis (CARE-MS) I and CARE-MS II trials. Peripheral blood (PB) samples were obtained at months 0, 6, 12, 18, and 24. We evaluated (1) mRNA levels of 26 immunologic molecules (cytokines, chemokines, chemokine receptors, and transcriptional factors); (2) Th1, Th17, and Treg cell percentages; and (3) myelin basic protein (MBP)–specific Treg suppressor activity. Results: We observed 12 relapses in 9 patients. mRNA levels of the anti-inflammatory cytokines interleukin (IL)–10, IL-27, and transforming growth factor–β persistently increased whereas those of proinflammatory molecules related to the Th1 or Th17 subsets persistently decreased after alemtuzumab administration throughout the follow-up period. PB CD4+ cell percentage remained significantly lower than baseline while that of Th1 and Th17 cells did not significantly change. A significant increase in Treg cell percentage was observed at month 24 and was accompanied by an increase in Treg cell suppressive activity against MBP-specific Th1 and Th17 cells. Conclusions: The long-lasting therapeutic benefit of alemtuzumab in RRMS may involve a shift in the cytokine balance towards inhibition of inflammation associated with a reconstitution of the PB CD4+ T-cell subsets that includes expansion of Treg cells with increased suppressive function.
Robotic Surgery for Lung Cancer

During the last decade the role of minimally invasive surgery has been increased, especially with the introduction of the robotic system in the surgical field. The most important advantages of robotic system are represented by the wristed instrumentation and the depth perception, which can overcome the limitation of traditional thoracoscopy. However, some data still exist in literature with regard to robotic lobectomy. The majority of papers are focused on its safety and feasibility, but further studies with long follow-ups are necessary in order to assess the oncologic outcomes. We reviewed the literature on robotic lobectomy, with the main aim to better define the role of robotic system in the clinical practice.
On the Performance Bounds of Practical Wireless Network Coding

Network coding is an attracting technology that has been shown to be able to improve the throughput of wireless networks. However, there still lacks fundamental understanding on how network coding works under realistic scenarios. In this paper, we examine the performance of a recently proposed network coding system under a realistic wireless physical layer and practical random access mechanisms. We propose a key performance measure called “encoding number”-the number of packets that can be encoded via network coding in each transmission. We provide an upper bound on the encoding number for the general coding topology, and derive the average encoding number and system throughput for a general class of random access mechanisms. Based on the practical coding system, we also derive a tighter upper bound on the throughput gain for a general wireless network. Our results are of fundamental value for coding-related MAC/Routing protocol design and analysis.