Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of sex of fetus, sire, month of conception, or year of foaling with duration of gestation in standardbred mares.

OBJECTIVE To determine whether sex of fetus, sire, month of conception, or year of foaling was associated with duration of gestation in mares. DESIGN Epidemiologic retrospective cohort study. ANIMALS 500 foalings for 296 Standardbred mares. PROCEDURE Data for reproductive events from 1986 to 1992 were analyzed. Analyses were conducted to determine whether duration of gestation was associated with sex of fetus, sire, month of conception, or year of foaling. RESULTS Mean duration of gestation was 343.3 days and was significantly greater for colt fetuses (344.4 days) than for filly fetuses (342.2 days). Sire was associated with duration of gestation; gestation after mating with certain sires was consistently less than 340 days in duration, whereas duration after mating with other sires was consistently more than 350 days. Duration of gestation was associated with month of conception, decreasing by about 2.5 d/mo for mares conceiving later during the breeding season. CLINICAL IMPLICATIONS Duration of gestation is affected by mating to specific sires and by month of conception. Stallions associated with exceptionally prolonged gestations might be used to breed mares early in the breeding season, whereas stallions associated with shorter gestations might be desirable for mares bred later in the breeding season. Preparations for impending parturition should be more effective and efficient with improved information on expected date of parturition.
Beyond bag‐of‐words: Bigram‐enhanced context‐dependent term weights

While term independence is a widely held assumption in most of the established information retrieval approaches, it is clearly not true and various works in the past have investigated a relaxation of the assumption. One approach is to use n‐grams in document representation instead of unigrams. However, the majority of early works on n‐grams obtained only modest performance improvement. On the other hand, the use of information based on supporting terms or “contexts” of queries has been found to be promising. In particular, recent studies showed that using new context‐dependent term weights improved the performance of relevance feedback (RF) retrieval compared with using traditional bag‐of‐words BM25 term weights. Calculation of the new term weights requires an estimation of the local probability of relevance of each query term occurrence. In previous studies, the estimation of this probability was based on unigrams that occur in the neighborhood of a query term. We explore an integration of the n‐gram and context approaches by computing context‐dependent term weights based on a mixture of unigrams and bigrams. Extensive experiments are performed using the title queries of the Text Retrieval Conference (TREC)‐6, TREC‐7, TREC‐8, and TREC‐2005 collections, for RF with relevance judgment of either the top 10 or top 20 documents of an initial retrieval. We identify some crucial elements needed in the use of bigrams in our methods, such as proper inverse document frequency (IDF) weighting of the bigrams and noise reduction by pruning bigrams with large document frequency values. We show that enhancing context‐dependent term weights with bigrams is effective in further improving retrieval performance.
Evidence That Cingulin Regulates Endothelial Barrier Function In Vitro and In Vivo

Objective— Cingulin is a cytoplasmic component of tight junctions. Although modulation of cingulin levels in cultured epithelial model systems has no significant effect on barrier function, evidence from cingulin knockout mice suggests that cingulin may be involved in the regulation of the behavior of epithelial or endothelial cells. Here, we investigate the role of cingulin in the barrier function of endothelial cells. Approach and Results— We show that cingulin is expressed in human endothelial cells of the skin, brain, and lung in vivo and in vitro. Endothelial cingulin colocalizes and coimmunoprecipitates with the tight junction proteins zonula occludens-1 and guanine nucleotide exchange factor-H1. Cingulin overexpression in human umbilical vein endothelial cell induces tight junction formation, increases transendothelial electric resistance, and strengthens barrier function for low and high molecular weight tracers. In contrast, cultured endothelial cells lacking cingulin are more permeable for low molecular weight tracers. In cingulin knockout mice, neurons of the area postrema and Purkinje cells show an increased uptake of small molecular weight tracers indicating decreased barrier function at these sites. Conclusions— We demonstrate that cingulin participates in the modulation of endothelial barrier function both in human cultured cells in vitro and in mouse brains in vivo. Understanding the role of cingulin in maintaining tight barriers in endothelia may allow developing new strategies for the treatment of vascular leak syndromes.
Etiology of childhood diarrhea in Zliten, Libya.

OBJECTIVE To determine the etiological agents of diarrhea in children from a small semi-urban city in Libya and the association of age, gender, seasonal variation, breast-feeding, source of water for drinking, or antibiotic use with the isolation of enteropathogens and whether such agents are community or hospital acquired. METHODS Using standard microbiological techniques we examined stool samples from 169 children (70 females) aged a few days to 12 years with acute diarrhea for viral, bacterial and parasitological agents. We used the disc diffusion method to determine the susceptibility of bacterial pathogens to antimicrobial agents. We carried out the study between April 2000 to March 2001. RESULTS We detected a single agent in 44.4%, rotavirus in 26.6%, Salmonella in 13.6%, and Cryptosporidium in 13% of patients and other enteric pathogens, Shigella in 3.6%, Aeromonas in 5.5%, Entamoeba histolytica/dispar in 11.8, and Giardia lamblia in 1.2%. Serotyping of isolated Salmonella resulted in 21 being Salmonella enteric serotype heidelberg and 3 Salmonella enteritidis. We detected both serotypes in one child. More than 75% of the isolated Salmonella were resistant to 6 different commonly used antimicrobial agents. CONCLUSION We found rotavirus, non-typhoid Salmonella and Cryptosporidium to be the most important enteric agents associated with childhood diarrhea in Zliten. The isolated bacterial pathogens showed high resistant rates, particularly among the Salmonella, to the commonly used antimicrobial agents. The ease of which one can obtain these drugs in Zliten may play a role in such resistance.
An Exhaustive, Non-Euclidean, Non-Parametric Data Mining Tool for Unraveling the Complexity of Biological Systems – Novel Insights into Malaria

Complex, high-dimensional data sets pose significant analytical challenges in the post-genomic era. Such data sets are not exclusive to genetic analyses and are also pertinent to epidemiology. There has been considerable effort to develop hypothesis-free data mining and machine learning methodologies. However, current methodologies lack exhaustivity and general applicability. Here we use a novel non-parametric, non-euclidean data mining tool, HyperCube®, to explore exhaustively a complex epidemiological malaria data set by searching for over density of events in m-dimensional space. Hotspots of over density correspond to strings of variables, rules, that determine, in this case, the occurrence of Plasmodium falciparum clinical malaria episodes. The data set contained 46,837 outcome events from 1,653 individuals and 34 explanatory variables. The best predictive rule contained 1,689 events from 148 individuals and was defined as: individuals present during 1992–2003, aged 1–5 years old, having hemoglobin AA, and having had previous Plasmodium malariae malaria parasite infection ≤10 times. These individuals had 3.71 times more P. falciparum clinical malaria episodes than the general population. We validated the rule in two different cohorts. We compared and contrasted the HyperCube® rule with the rules using variables identified by both traditional statistical methods and non-parametric regression tree methods. In addition, we tried all possible sub-stratified quantitative variables. No other model with equal or greater representativity gave a higher Relative Risk. Although three of the four variables in the rule were intuitive, the effect of number of P. malariae episodes was not. HyperCube® efficiently sub-stratified quantitative variables to optimize the rule and was able to identify interactions among the variables, tasks not easy to perform using standard data mining methods. Search of local over density in m-dimensional space, explained by easily interpretable rules, is thus seemingly ideal for generating hypotheses for large datasets to unravel the complexity inherent in biological systems.
Organizational members' use of social networking sites and job performance: An exploratory study

– There is considerable debate among academics and business practitioners on the value of the use of social networking by organizational members. Some, fearing presenteeism (i.e. being at the workplace but working below peak capacity), claim that the use of social networking sites by organizational members is a waste of time, while others believe it leads to improvements in job performance, partly due to employees’ successful efforts to balance work‐life realms. This paper aims to inform this debate by examining the use of social networking sites by organizational members and its effect on job satisfaction, organizational commitment, and job performance. , – The exploratory study is based on a survey of 193 employees, focusing on the following constructs: social networking site use intensity, perceived job satisfaction, perceived organizational commitment, and job performance. The authors’ proposed model was evaluated using variance‐based structural equation modeling (SEM), a latent variable‐based multivariate technique enabling concurrent estimation of structural and measurement models under nonparametric assumptions. This study used WarpPLS 2.0 to assess both the measurement and the structural model. , – The results show that social networking site use intensity has a significant positive effect on job performance through the mediation of job satisfaction, and that this mediating effect is itself mediated – in a nested way – via organizational commitment. The findings suggest that social networking site use, rather than causing presenteeism, may be a new way through which employees balance their work‐life realms, in turn benefitting their organizations.Originality/value – To the best of the authors’ knowledge, this is the first study to analyze, in an integrated way, the relationship between those theoretical constructs.
Optimizing the Molecular Diagnosis of GALNS: Novel Methods to Define and Characterize Morquio—A Syndrome‐Associated Mutations

Morquio A syndrome (MPS IVA) is a systemic lysosomal storage disorder caused by the deficiency of N‐acetylgalactosamine‐6‐sulfatase (GALNS), encoded by the GALNS gene. We studied 37 MPS IV A patients and defined genotype–phenotype correlations based on clinical data, biochemical assays, molecular analyses, and in silico structural analyses of associated mutations. We found that standard sequencing procedures, albeit identifying 14 novel small GALNS genetic lesions, failed to characterize the second disease‐causing mutation in the 16% of the patients’ cohort. To address this drawback and uncover potential gross GALNS rearrangements, we developed molecular procedures (CNV [copy‐number variation] assays, QF‐PCRs [quantitative fluorescent‐PCRs]), endorsed by CGH‐arrays. Using this approach, we characterized two new large deletions and their corresponding breakpoints. Both deletions were heterozygous and included the first exon of the PIEZO1 gene, which is associated with dehydrated hereditary stomatocitosis, an autosomal‐dominant syndrome. In addition, we characterized the new GALNS intronic lesion c.245‐11C>G causing m‐RNA defects, although identified outside the GT/AG splice pair. We estimated the occurrence of the disease in the Italian population to be approximately 1:300,000 live births and defined a molecular testing algorithm designed to help diagnosing MPS IVA and foreseeing disease progression.
Modelling the Substitutability of Discourse Connectives

Processing discourse connectives is important for tasks such as discourse parsing and generation. For these tasks, it is useful to know which connectives can signal the same coherence relations. This paper presents experiments into modelling the substitutability of discourse connectives. It shows that substitutability effects distributional similarity. A novel variance-based function for comparing probability distributions is found to assist in predicting substitutability.
Effect of sound similarity and word position on lexical selection

Spoken word production research has shown that phonological information influences lexical selection. It remains unclear, however, whether this phonological information is specified for its phonological environment (e.g., word position) or its phonetic (allophonic) realisation. To examine this, two definition-naming experiments were performed during which subjects produced lexical targets (e.g., “balcony”) in response to the targets' definitions (“deck higher than a building's first floor”) after naming a series of phonologically related or unrelated primes. Subjects produced target responses significantly more often when the primes were phonologically related to the target, regardless of whether the phonologically related primes matched the target's word position or did not. For example, subjects were equally primed to produce the target “balcony” after the prime “ballast” or “unbalanced” relative to unrelated primes. Moreover, equal priming occurred irrespective of phonological environment or phonetic realisation. The results support models of spoken word production which include context-independent phonological representations.
Giving or Receiving Something for Sex: A Cross-Sectional Study of Transactional Sex among Ugandan University Students

Objective This study sought to determine the prevalence of transactional sex among university students in Uganda and to assess the possible relationship between transactional sex and sexual coercion, physical violence, mental health, and alcohol use. Methods In 2010, 1954 undergraduate students at a Ugandan university responded to a self-administered questionnaire that assessed mental health, substance use, physical violence and sexual behaviors including sexual coercion and transactional sex. The prevalence of transactional sex was assessed and logistic regression analysis was performed to measure the associations between various risk factors and reporting transactional sex. Results Approximately 25% of the study sample reported having taken part in transactional sex, with more women reporting having accepted money, gifts or some compensation for sex, while more men reporting having paid, given a gift or otherwise compensated for sex. Sexual coercion in men and women was significantly associated with having accepted money, gifts or some compensation for sex. Men who were victims of physical violence in the last 12 months had higher probability of having accepted money, gifts or some compensation for sex than other men. Women who were victims of sexual coercion reported greater likelihood of having paid, given a gift or otherwise compensated for sex. Respondents who had been victims of physical violence in last 12 months, engaged in heavy episodic drinking and had poor mental health status were more likely to have paid, given a gift or otherwise compensated for sex. Conclusions University students in Uganda are at high risk of transactional sex. Young men and women may be equally vulnerable to the risks and consequences of transactional sex and should be included in program initiatives to prevent transactional sex. The role of sexual coercion, physical violence, mental health, and alcohol use should be considered when designing interventions for countering transactional sex.
Design and analysis of the KDD cup 2009: fast scoring on a large orange customer database

We organized the KDD cup 2009 around a marketing problem with the goal of identifying data mining techniques capable of rapidly building predictive models and scoring new entries on a large database. Customer Relationship Management (CRM) is a key element of modern marketing strategies. The KDD Cup 2009 offered to participants an opportunity to work on a large marketing database from the French Telecom company Orange. The tasks were to predict the propensity of customers to switch provider (churn), buy new products or services (appetency), or buy upgrades/addons proposed to them to make the sale more profitable (upselling). The challenge, which lasted from March 10 to May 11, 2009, attracted over 450 participants from 46 countries. We attribute its popularity to several factors: (1) A generic problem relevant to the Industry (a classification problem), but presenting a number of scientific and technical challenges, including many missing values (about 60%), a large number of features (15000) and a large number of training examples (50000), unbalanced class proportions (fewer than 10% of the examples of the positive class), noisy data, and the presence of categorical variables with many different values. (2) Prizes (Orange offers 10000 Euros in prizes). (3) A well designed protocol and web site (we benefitted from past experience). (4) An effective advertising campaign using mailings and a teleconference to answer potential participants questions. The results of the challenge were discussed at the KDD conference (June 28, 2009). The principal conclusions are that ensemble methods are very effective and that ensemble of decision trees offer off-the-shelf solutions to problems with large numbers of samples and attributes, mixed types of variables, and lots of missing values. The data and the platform of the challenge remain available for research and educational purposes at http://www.kddcup-orange.com/.
Stochastic volatility models for ordinal-valued time series with application to finance

In this paper, we introduce a new class of models, called ordinal-response stochastic volatility models, by combining an ordinal-response model and the idea of stochastic volatility. Corresponding time series occur in high-frequency finance when the stocks are traded on a coarse grid. For parameter estimation, we develop an efficient grouped move multigrid Monte Carlo sampler. This sampler is based on a scale transformation group, whose elements operate on the random samples of a certain conditional distribution. Also volatility estimates are provided. For illustration, we apply our new model class to price changes of the IBM stock. Dependencies on covariates are quantified and compared with theoretical results for such processes.
Cognitive factors in predicting continued use of information systems with technology adoption models

Introduction . The ultimate viability of an information system is dependent on individuals’ continued use of the information system. In this study, we use the technology acceptance model and the theory of interpersonal behaviour to predict continued use of information systems. Method . We established a Web questionnaire on the mysurvey Website and recruited participants via social networks. Data were collected from a sample of 1154 Webmail users in Taiwan. Analysis . Our models are analysed using the partial least squares structural equation modelling method. Results . The results of this study indicate that (1) the theory of interpersonal behaviour has better ability to predict continued use than the technology acceptance model; (2) the technology acceptance model has a better ability to predict intention to continue use than the theory of interpersonal behaviour; (3) the combination between the technology acceptance model and the theory of interpersonal behaviour is properly able to explain continued use of information systems; (4) multiple group analysis indicates that two relations in the combined model differ significantly between light experience users and heavy experience users. Conclusions . The technology acceptance model and the theory of interpersonal behaviour should not be viewed as alternative but as supplementary models. Moreover, the integration of such two models can properly predict continued use of information systems.
Lateral Habenula Stimulation Inhibits Rat Midbrain Dopamine Neurons through a GABAA Receptor-Mediated Mechanism

Transient changes in the activity of midbrain dopamine neurons encode an error signal that contributes to associative learning. Although considerable attention has been devoted to the mechanisms contributing to phasic increases in dopamine activity, less is known about the origin of the transient cessation in firing accompanying the unexpected loss of a predicted reward. Recent studies suggesting that the lateral habenula (LHb) may contribute to this type of signaling in humans prompted us to evaluate the effects of LHb stimulation on the activity of dopamine and non-dopamine neurons of the anesthetized rat. Single-pulse stimulation of the LHb (0.5 mA, 100 μs) transiently suppressed the activity of 97% of the dopamine neurons recorded in the substantia nigra and ventral tegmental area. The duration of the cessation averaged ∼85 ms and did not differ between the two regions. Identical stimuli transiently excited 52% of the non-dopamine neurons in the ventral midbrain. Electrolytic lesions of the fasciculus retroflexus blocked the effects of LHb stimulation on dopamine neurons. Local application of bicuculline but not the SK-channel blocker apamin attenuated the effects of LHb stimulation on dopamine cells, indicating that the response is mediated by GABAA receptors. These data suggest that LHb-induced suppression of dopamine cell activity is mediated indirectly by orthodromic activation of putative GABAergic neurons in the ventral midbrain. The habenulomesencephalic pathway, which is capable of transiently suppressing the activity of dopamine neurons at a population level, may represent an important component of the circuitry involved in encoding reward expectancy.
Pulses of Notch activation synchronise oscillating somite cells and entrain the zebrafish segmentation clock

Formation of somites, the rudiments of vertebrate body segments, is an oscillatory process governed by a gene-expression oscillator, the segmentation clock. This operates in each cell of the presomitic mesoderm (PSM), but the individual cells drift out of synchrony when Delta/Notch signalling fails, causing gross anatomical defects. We and others have suggested that this is because synchrony is maintained by pulses of Notch activation, delivered cyclically by each cell to its neighbours, that serve to adjust or reset the phase of the intracellular oscillator. This, however, has never been proved. Here, we provide direct experimental evidence, using zebrafish containing a heat-shock-driven transgene that lets us deliver artificial pulses of expression of the Notch ligand DeltaC. In DeltaC-defective embryos, in which endogenous Notch signalling fails, the artificial pulses restore synchrony, thereby rescuing somite formation. The spacing of segment boundaries produced by repetitive heat-shocking varies according to the time interval between one heat-shock and the next. The induced synchrony is manifest both morphologically and at the level of the oscillations of her1, a core component of the intracellular oscillator. Thus, entrainment of intracellular clocks by periodic activation of the Notch pathway is indeed the mechanism maintaining cell synchrony during somitogenesis.