Miracle-dz/UniFAR-FTUs huggingface dataset:
PREVALENCE OF HUMAN GASTRO-INTESTINAL PARASITES IN BIU, BORNO STATE, NIGERIA

A prevalence study of gastrointestinal helminths of Biu Local Government residents was conducted between 2001 and 2002 using sedimentation, formol-ether concentration and floatation techniques. Of the 100 stool samples examined, 20(20.0%) harboured various species of gastrointestinal helminths. Hookworm infection was the most prevalent 10(50%) followed respectively by Schistosoma mansoni 6(30%); Hymenolepis nana 3(15%) and Ascaris lumbricoides 1(5%). The prevalence of the gastrointestinal helminths however, varied according to the age of the people examined with those aged between 7-24 years being most commonly infected 13(24.5%) compared to >24- 36, and >36- 50 ages with 5(15.1%) and 2(14.2%) respectively (p 0.05).
The Differential Effects of Atypical Antipsychotics on Prolactin Elevation Are Explained by Their Differential Blood-Brain Disposition: A Pharmacological Analysis in Rats

All atypical antipsychotics avoid extrapyramidal side-effects yet differ in their propensity to cause other side-effects, like prolactin elevation. We proposed that the atypical antipsychotics with a propensity for prolactin elevation would show a higher pituitary versus striatal D2 receptor occupancy. To investigate this hypothesis, we tested four atypical antipsychotics, two that are commonly associated with prolactin elevation (amisulpride and risperidone) and two that are less frequently associated (quetiapine and olanzapine). In particular, we calculated their ED50 values to increase plasma prolactin and block peripheral pituitary D2 receptors to their ED50 values to antagonize apomorphine-induced stereotypy and occupy central striatal D2 receptors. All antipsychotics dose dependently increased prolactin levels and antagonized apomorphine-induced stereotypy. However, the central to peripheral potency (ED50 for apomorphine antagonism to ED50 for prolactin elevation) differed remarkably across these drugs: amisulpride (21764), risperidone (14), quetiapine (10), and olanzapine (1.7). Compounds displaying a higher peripheral potency brought about higher prolactin levels for a given level of functional central antagonism. This dissociation between central and peripheral effects was explained by the differential occupancy of D2 receptors in the striatum versus in the pituitary [ratio of striatal/pituitary ED50 values (milligram per kilogram) for D2 occupancy): amisulpride (17/0.026 = 654), risperidone (0.89/0.081 = 14), quetiapine (24/4.1 = 6), olanzapine (0.30/0.43 = 0.7). These results indicate that dissociation between central and peripheral D2 receptor occupancy is a major determinant of the degree of prolactin elevation observed at therapeutic doses.
A load balancing scheme for latency optimization in Grid networks

Grid networks take advantage of the resources available by many computers connected within the network to solve large-scale computational problems. To achieve a scalable and reliable Grid network system, the workload needs to be efficiently distributed among the computing resources accessible on the network. Therefore, a distributed and scalable load-balancing scheme for Grid Networks is proposed in this paper. Another objective of this paper is to develop a latency reduction workload distribution protocol for Grid networks. Here, we demonstrate that introducing a latency reduction factor in the random sampling can reduce the effects of communication latency in the Grid network environment. Simulation results show that the resulted network system provides an effective, scalable, and reliable load-balancing scheme for the distributed resources available on Grid networks.
Risk-Averse Approximate Dynamic Programming with Quantile-Based Risk Measures

In this paper, we consider a finite-horizon Markov decision process (MDP) for which the objective at each stage is to minimize a quantile-based risk measure (QBRM) of the sequence of future costs; we call the overall objective a dynamic quantile-based risk measure (DQBRM). In particular, we consider optimizing dynamic risk measures where the one-step risk measures are QBRMs, a class of risk measures that includes the popular value at risk (VaR) and the conditional value at risk (CVaR). Although there is considerable theoretical development of risk-averse MDPs in the literature, the computational challenges have not been explored as thoroughly. We propose data-driven and simulation-based approximate dynamic programming (ADP) algorithms to solve the risk-averse sequential decision problem. We address the issue of inefficient sampling for risk applications in simulated settings and present a procedure, based on importance sampling, to direct samples toward the “risky region” as the ADP algorithm progresses.
Psychiatric Comorbidity in Patients from the Addictive Disorders Assistance Units of Galicia: The COPSIAD Study

The objective of this study is to assess the prevalence of psychiatric comorbidity in patients under treatment within the addictive disorders assistance units of Galicia (Spain). Material and Methods A total of 64 healthcare professionals performed clinical diagnosis of mental disorders (on DSM IV-TR criteria) in 2300 patients treated throughout March 2010 in 21 addictive disorders assistance units. Results 56.3% of patients with substance abuse/dependency also showed some other mental disorder, 42.2% of patients suffering from at least an Axis I condition and 20.2% from some Axis II condition. Mood and anxiety disorders and borderline and antisocial personality disorders were the most frequent disorders in both axes. Conclusions A high comorbidity was found between mental and substance use disorders (SUD) in patients seen at the addictive disorders assistance units of Galicia.
The Genomic Signature of Breast Cancer Prevention

The breast of parous postmenopausal women exhibits a specific signature that has been induced by a full term pregnancy. This signature is centered in chromatin remodeling and the epigenetic changes induced by methylation of specific genes which are important regulatory pathways induced by pregnancy. Through the analysis of the genes found to be differentially methylated between women of varying parity, multiple positions at which beta-catenin production and use is inhibited were recognized. The biological importance of the pathways identified in this specific population cannot be sufficiently emphasized because they could represent a safeguard mechanism mediating the protection of the breast conferred by full term pregnancy.
Promoting Corporate Philanthropic Efforts through Social Media

Corporations face the challenge of creating awareness of corporate social responsibility (CSR) efforts while avoiding the appearance of being overly self-congratulatory or self-serving. The low cost and less obtrusive format of social media may make it a useful communication option for creating awareness of philanthropic activities. Content analysis was used to examine how three types of social media (Facebook, Twitter, and YouTube) were used to provide information on corporate philanthropic activities. Forty corporations from the Fortune 100 were sampled to address three research questions. The first two research questions pertained to the availability of social media tools and the specific locations of access to those tools. Results revealed 82.5% of the 40 corporations provided links to at least one social media platform and 22 provided at least one type of link to at least one type of philanthropic activity. The third research question examined how social media platforms were used to report the eight types of philanthropy identified by Kotler and Lee (2005). In all, 140 philanthropic activities were reported. The most frequently reported types of philanthropic activity included donating cash (n = 72, 51.40%), donating products (n = 27, 19.30%), donating services (n = 15, 10.71%), offering grants (n = 13, 9.29%), and awarding scholarships (n = 5, 5.71%). Other types of philanthropy were infrequent. Results suggest these social media platforms offer a viable option for brief reports of philanthropic activities.
Effets de la stimulation cérébrale sur la compréhension des métaphores dans la maladie de Parkinson

v LISTE DES TABLEAUX ix LISTE DES FIGURES xi LISTE DES ABREVIATIONS xiii REMERCIEMENTS xvii AVANT-PROPOS xix INTRODUCTION GENERALE 1 SYMPTOMES MOTEURS ET NON MOTEURS DANS LA MP CLASSIQUE 1 CARACTERISATION NEUROANATOMIQUE 7 IMPACT SYSTEMIQUE DE LA MEDICATION DOPAMINERGIQUE 13 STIMULATION CEREBRALE ET BOUCLES FRONTO-STRIATALES 14 OBJECTIFS ET HYPOTHESES 25 CHAPITRE 1: ETUDE 1 29 The role of polysemy on metaphor comprehension processing: the example of Parkinson’s disease . 29 RESUME 30 ABSTRACT 3
The intuitive executive:Understanding and applying ‘gut feel’ in decision-making

Executive Overview Even though the conditions under which executives operate may sometimes limit or even preclude the use of rational analysis, it is nevertheless the norm in many organizational decision processes. Intuition, on the other hand, is often considered to be the antithesis of this approach and is usually overlooked or disregarded in decision-making. However, in recent years there has been resurgence of interest in intuition, perhaps because of some dissatisfaction with rationality and its limits and also because some psychologists are now arguing that much of cognition occurs automatically outside of consciousness and in the realm of intuition. Knowledge of intuition has made significant advances in recent years, and it can now be understood as a composite phenomenon involving interplay between knowing (intuition-as-expertise) and sensing (intuition-as-feeling). Furthermore, rather than being set in opposition to each other, intuition and rational analysis are better conceived of as two parall.
Code-switching in newly formed multinational project teams

Based on an ethnographic-like case study comprising observations and interviews with members of three newly formed multinational project teams, our study explores the micro-processes of interactional teamwork and captures how the three teams develop strategies for managing the challenges of code-switching in their interactions. Findings from our study suggest that teams interpret the impact of code-switching challenges differently in spite of the fact that they are performing similar activities, suggesting that adopting (clearly defined) rules for managing interactions may not be as effective as the presence of other factors within the teams. Our findings extend theory on the use of a common working language in multinational teams and go beyond this by illustrating how individual teams establish practices for handling the challenges of code-switching and the effects of these on team interactions.
Impaired detection of variable duration embedded tones in ectopic NZB/BINJ mice

Utilizing rodent models, prior research has demonstrated a significant association between focal neocortical malformations (i.e. induced microgyria, molecular layer ectopias), which are histologically similar to those observed in human dyslexic brains, and rate-specific auditory processing deficits as seen in language impaired populations. In the current study, we found that ectopic NZB/BINJ mice exhibit significant impairments in detecting a variable duration 5.6 kHz tone embedded in a 10.5 kHz continuous background, using both acoustic reflex modification and auditory event-related potentials (AERP). The current results add further support to the association between focal cortical malformations and impaired auditory processing, and the notion that these auditory effects may occur regardless of the cortical location of the anomaly.
APEnet+: high bandwidth 3D torus direct network for petaflops scale commodity clusters

We describe herein the APElink+ board, a PCIe interconnect adapter featuring the latest advances in wire speed and interface technology plus hardware support for a RDMA programming model and experimental acceleration of GPU networking; this design allows us to build a low latency, high bandwidth PC cluster, the APEnet+ network, the new generation of our cost-effective, tens-of-thousands-scalable cluster network architecture. Some test results and characterization of data transmission of a complete testbench, based on a commercial development card mounting an Altera® FPGA, are provided.
Structural adaptation via Lp-norm oracle inequalities

In this paper we study the problem of adaptive estimation of a multivari- ate function satisfying some structural assumption. We propose a novel estimation procedure that adapts simultaneously to unknown structure and smoothness of the underlying function. The problem of structural adaptation is stated as the problem of selection from a given collection of estimators. We develop a general selection rule and establish for it global oracle inequalities under arbitrary L p-losses. These results are applied for adaptive estimation in the additive multi-index model.
COST 290: Traffic and QoS Management in Wireless Multimedia Networks HSDPA and MBMS Transmissions via S-UMTS

This paper investigates packet-scheduling aspects for satellite UMTS downlink transmissions in two special cases: High Speed Downlink Packet Access (HSDPA) and Multimedia Broadcast Multicast Services (MBMS). In particular, this paper surveys resource allocation constraints to be considered for HSDPA via satellite and investigates the applicability of Adaptive Modulation and Coding (AMC) in conjunction with packet scheduling. This paper provides considerations that support the adoption of HSDPA and MBMS via satellite and preliminary results for the HSDPA case.
Literacy Screening Among Latino/a and Dual Language Learner Kindergarteners: Predicting First Grade Reading Achievement

ABSTRACT This study examined the relative contributions of Latino/a children’s (N = 102) school readiness and early literacy skills during kindergarten in predicting first grade reading achievement. By using discriminant function analyses, the current study identified a set of areas to assess that could be used to effectively screen children during kindergarten to distinguish those that might benefit most from early and targeted literacy supports. Results suggest that receptive vocabulary, phonological awareness, and word reading were the areas in kindergarten that provided strong predictive power for understanding children’s end of first grade reading achievement. These results provide important insights into an efficient assessment framework literacy educators can utilize to effectively monitor and support the early literacy development of Latino/a students.
Software System Generation from an Enterprise Service Model

1 Software System Generation from an Enterprise Service Model D.D. Cowan, 1 P.S. C. Alencar, D.B. Brown, H.D. Covvey, I. Gimenes, C.J.P. Lucena, W.J. Malyk, D.W. Mulholland, A. Robins, K. Young Abstract This paper introduces an approach to constructing information systems based on enterprise service architectures (ESAs). An ESA model is specified using declarative business process modeling or workflow commands in conjunction with service framework instances where the business process model and the instances are captured in a data structure. A service framework is an outline of different types such as reports, databases, agents, diagrams and maps and an instance is produced by completing a framework’s adaptation points. Adaptation points are defined by an adaptation interface specified in a declarative language and presented through forms. The business process or workflow is specified similarly. An automatic transformation is then applied to convert the model into an operational information system. This approach can be viewed as model-driven software development without the necessity of writing code to complete the implementation. Thus, we avoid the symptoms of architectural drift that occur when applications evolve independently from their model. The control structure is declarative and separate, clearly delineating the concerns, thus making it easier to address future anticipated, unanticipated and crosscutting concerns. We have created tools to support this approach, and although many of the tools are general, we have concentrated our efforts on the Web because of its pervasive nature. Thus, we have produced the Web-based Informatics Development Environment (WIDE) technology, a set of tools and processes used to transform a model based on ESA principles into a web-based information system. We have designed and implemented over 30 operational web-based systems to validate our approach. Introduction Models of enterprise service architectures (ESAs) form the foundation for many of the information systems currently under development, particularly those based on the Web. This form of architecture uses loosely coupled independent software services accessed without knowledge of the underlying implementation. A wide variety of services and legacy technologies such as databases, content management systems, and geographic information systems (GIS) compose such systems. There are many approaches to the construction and composition of information systems based on ESAs; however, they still often embed low-level programming constructs [1, 2], rather than higher-level models. This paper introduces a new approach to constructing information systems based on enterprise service architectures (ESAs). A model of the system is specified using declarative workflow or business process modeling concepts in conjunction with instances of service frameworks. The process is data-driven in that the workflow or business process model and the instances are captured in a data structure rather than a program. Once the details of the system are complete, an automatic transformation is then
Risk Attitude in Real Decision Problems

Abstract We use data from 298 showings of the television program "Affari Tuoi," which involves contestants making decisions between risky prospects with possible prizes of up to half a million euros, to estimate three models of decision-making under risk: Expected Utility, Rank-Dependent Expected Utility and Regret-Rejoice. We find that Regret-Rejoice does not significantly improve upon Expected Utility, while Rank-Dependent outperforms it. Interestingly, we find that the CARA specification fits significantly better than the conventionally-adopted CRRA specification. Crucially, we find a significant role for unobserved heterogeneity, implying that our estimates provide more superior estimates of risk attitude and of probability weighting than other studies.
RNA interference-mediated USP22 gene silencing promotes human brain glioma apoptosis and induces cell cycle arrest

Ubiquitin-specific protease 22 (USP22) is a novel tumor stem cell marker that plays a key role in tumorigenesis and cell cycle progression. However, the effect of silencing the USP22 gene on human brain glioma cell growth is not well understood. In the present study, high gene expression of USP22 was identified in human brain glioma cells. In addition, RNA interference technology was used to silence USP22 gene expression in human brain glioma cells. Silencing the USP22 gene was found to effectively inhibit proliferation of human brain glioma cells, resulting in cell apoptosis and cell cycle arrest at the G2/M phase. USP22 silencing was also found to lead to reduced expression of cell cycle proteins, including CDK1, CDK2 and CyclinB1. In summary, in this study the USP22 gene was demonstrated to play a key regulatory role in the growth of human brain glioma cells by affecting progression of apoptosis and the cell cycle.
Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing

By transforming data into binary representation, i.e., Hashing, we can perform high-speed search with low storage cost, and thus, Hashing has collected increasing research interest in the recent years. Recently, how to generate Hashcode for multimodal data (e.g., images with textual tags, documents with photos, and so on) for large-scale cross-modality search (e.g., searching semantically related images in database for a document query) is an important research issue because of the fast growth of multimodal data in the Web. To address this issue, a novel framework for multimodal Hashing is proposed, termed as Collective Matrix Factorization Hashing (CMFH). The key idea of CMFH is to learn unified Hashcodes for different modalities of one multimodal instance in the shared latent semantic space in which different modalities can be effectively connected. Therefore, accurate cross-modality search is supported. Based on the general framework, we extend it in the unsupervised scenario where it tries to preserve the Euclidean structure, and in the supervised scenario where it fully exploits the label information of data. The corresponding theoretical analysis and the optimization algorithms are given. We conducted comprehensive experiments on three benchmark data sets for cross-modality search. The experimental results demonstrate that CMFH can significantly outperform several state-of-the-art cross-modality Hashing methods, which validates the effectiveness of the proposed CMFH.
To search or to explore -- that is the question: a study in mindful engagement

It's easy to attract someone's attention on the web -- seductive animations using software such as Flash make this all too easy. But how do you retain their interest and, more importantly, keep their focus on the task at hand? We have approached this question by producing a research tool called iFISH that enables us to quickly construct environments in which users explore a range of outcomes based on their dynamic changes to personal preference settings, together with reflections on the consequences of these changes. We first describe a study using this tool in the context of students given the task of making a selection from a large range of university subjects, and later we introduce other uses of such a system.
The Pivotal Role of Change Appropriation in the Implementation of Health Care Technology

The implementation of electronic health records (EHRs) is a major transformation in health care organizations. This study uses adaptive structuration theory to build and test an organizational change appropriation model. We tested this model in a health care organization that had recently implemented an EHR system. We find that social interaction with coworkers has a negative direct effect on employees’ change attitudes, perceived change success, and perceived change communication quality. While these findings suggest that interacting with coworkers can actually increase negative perceptions of EHR implementation, the direction of these relationships is inverted when change appropriation is included in the model as a mediating variable. As health care workers adapt this particular technology system to meet their needs, they perceive the EHR implementation more positively and have more positive attitudes toward the change. Implications and future directions are also discussed.
The Relationship Between Consumer Confidence Index andOnline Credit Card Using in Turkey: New Evidence FromFrequency Domain Causality Test

Monthly data for the period between January 2008 and December 2012 were examined in this study which investigated the relationship between consumer confidence index (CCI) and online credit card using (CCU). The variables were found to have an integrated structure after testing of the collected data with Hatemi-J cointegration test (2008) which enables two-structural break. It has been observed that the results are inconsistent when the relationship between these two variables examined with Toda Yamamoto (1995) and Hacker Hatemi-J (2006) causality tests. Therefore, frequency domain causality test has been used and the conclusion reached that a one-way and temporary relationship from consumer confidence index to online credit card using. It’s seen that the existence of this relationship supports the studies in the literature.