Miracle-dz/UniFAR-FTUs huggingface dataset:
Service employee citizenship behaviour : an empirical study conducted in the Thai airline industry

The main purpose of the study is to advance the organisational citizenship literature in the non-Westernised service context. An extant literature review revealed several gaps in the current understanding of the phenomenon including: (1) lack of studies looking at service-specific organisational citizenship behaviours, (2) limited research that has examined the effect of job satisfaction and three components of organisational commitment on citizenship behaviours in a simultaneous manner and (3) lack of studies attempting to identify 'new drivers' of citizenship behaviours. As a result, the present study develops a social structure explanation of service-specific citizenship behaviour (i.e. service employee citizenship behaviour), emphasising the importance of job satisfaction, three components of organisational commitment, co-worker support and passenger cooperation. In addition, the current study explores the moderating role of cultural orientation (i.e. individualism/collectivism). Using a survey approach, questionnaires were distributed to employees in an airline company based in Thailand. An effective response rate of 53.60% resulted in 335 questionnaires being collected for analysis. Structural Equation Modelling (SEM) procedures were followed using AMOS 6.0 to analyse the data. The findings reveal significant contributions of job satisfaction, affective commitment and normative commitment in predicting service employee citizenship behaviour. The examination of individual differences in terms of individualism/collectivism values highlights the different tendencies of employees to engage in different forms of service employee citizenship behaviour. Additionally, the conceptualisation along with empirical results not only emphasise the significant contribution of co-worker support and passenger cooperation on service employee citizenship behaviour, but also illustrate the importance of identifying job attitudes as a key mediator of the support-performance relationship. By this, this study extends the current understanding on determinants of service-specific organisational citizenship behaviours as well as the influence of individual difference with regards to individual/collectivism on such citizenship behaviours.
Expert-Novice Differences in Planning Strategies during Collegiate Singles Tennis Competition

Research examining planning strategies used by high-strategy open-skill performers is limited. This study examined planning responses of collegiate varsity (experts, n = 6) and beginner (novices, n = 6) women tennis players between points during competition. Other articles focused on expert-novice differences in problem representations (quantitative analyses of verbal data via audiotaping) accessed during simulated situations and during actual competition (immediate recall point interviews) and performance skills during competition (via videotaping). Mann-Whitney U tests on verbal report measures indicated experts generated more total, varied, and sophisticated goal, condition, action, and do concepts than novices. Experts planned for actions based on elaborate and sophisticated action plan and current event profiles; novices rarely planned and they lacked these memory structures. Differences in internal self-talk were also noted.
Dopamine D1/D5 Receptors Mediate Informational Saliency that Promotes Persistent Hippocampal Long-Term Plasticity

Dopamine (DA) plays an essential role in the enablement of cognition. It adds color to experience-dependent information storage, conferring salience to the memories that result. At the synaptic level, experience-dependent information storage is enabled by synaptic plasticity, and given its importance for memory formation, it is not surprising that DA comprises a key neuromodulator in the enablement of synaptic plasticity, and particularly of plasticity that persists for longer periods of time: Analogous to long-term memory. The hippocampus, that is a critical structure for the synaptic processing of semantic, episodic, spatial, and declarative memories, is specifically affected by DA, with the D1/D5 receptor proving crucial for hippocampus-dependent memory. Furthermore, D1/D5 receptors are pivotal in conferring the properties of novelty and reward to information being processed by the hippocampus. They also facilitate the expression of persistent forms of synaptic plasticity, and given reports that both long-term potentiation and long-term depression encode different aspects of spatial representations, this suggests that D1/D5 receptors can drive the nature and qualitative content of stored information in the hippocampus. In light of these observations, we propose that D1/D5 receptors gate hippocampal long-term plasticity and memory and are pivotal in conferring the properties of novelty and reward to information being processed by the hippocampus.
Assessment of Cardiorespiratory Fitness without Exercise in Elderly Men with Chronic Cardiovascular and Metabolic Diseases

Low cardiorespiratory (CRF) is associated with health problems in elderly people, especially cardiovascular and metabolic disease. However, physical limitations in this population frequently preclude the application of aerobic tests. We developed a model to estimate CRF without aerobic testing in older men with chronic cardiovascular and metabolic diseases. Subjects aged from 60 to 91 years were randomly assigned into validation (n = 67) and cross-validation (n = 29) groups. A hierarchical linear regression model included age, self-reported fitness, and handgrip strength normalized to body weight (R 2 = 0.79; SEE = 1.1 METs). The PRESS (predicted residual sum of squares) statistics revealed minimal shrinkage in relation to the original model and that predicted by the model and actual CRF correlated well in the cross-validation group (r = 0.85). The area under curve (AUC) values suggested a good accuracy of the model to detect disability in the validation (0.876, 95% CI: 0.793–0.959) and cross-validation groups (0.826, 95% CI: 0.677–0.975). Our findings suggest that CRF can be reliably estimated without exercise test in unhealthy elderly men.
Experiments on Hybrid Corpus-Based Sentiment Lexicon Acquisition

Numerous sentiment analysis applications make usage of a sentiment lexicon. In this paper we present experiments on hybrid sentiment lexicon acquisition. The approach is corpus-based and thus suitable for languages lacking general dictionary-based resources. The approach is a hybrid two-step process that combines semi-supervised graph-based algorithms and supervised models. We evaluate the performance on three tasks that capture different aspects of a sentiment lexicon: polarity ranking task, polarity regression task, and sentiment classification task. Extensive evaluation shows that the results are comparable to those of a well-known sentiment lexicon SentiWordNet on the polarity ranking task. On the sentiment classification task, the results are also comparable to SentiWordNet when restricted to monosentimous (all senses carry the same sentiment) words. This is satisfactory, given the absence of explicit semantic relations between words in the corpus.
A Compact Cooperative Recurrent Neural Network for Computing General Constrained $L_1$  Norm Estimators

Recently, cooperative recurrent neural networks for solving three linearly constrained L 1 estimation problems were developed and applied to linear signal and image models under non-Gaussian noise environments. For wide applications, this paper proposes a compact cooperative recurrent neural network (CRNN) for calculating general constrained L 1 norm estimators. It is shown that the proposed CRNN converges globally to the constrained L 1 norm estimator without any condition. The proposed CRNN includes three existing CRNNs as its special cases. Unlike the three existing CRNNs, the proposed CRNN is easily applied and can deal with the nonlinear elliptical sphere constraint. Moreover, when computing the general constrained L 1 norm estimator, the proposed CRNN has a fast convergence speed due to low computational complexity. Simulation results confirm further the good performance of the proposed CRNN.
Scalable Software Practice Environments Featuring Automatic Provision and Configuration in the Cloud

This paper describes an architecture to deploy scalable Software Practice Environments (SPE) to support the practice lessons that require computer resources that can be remotely accessed. The architecture enables (i) to dynamically and on-demand provision the required computing resources from different IaaS Cloud providers, (ii) to perform the automatic software configuration to satisfy the requirements of the practical lesson, (iii) to suspend and resume the virtual infrastructure in order to cut down costs during a course and (iv) to support different elasticity approaches in order to create scalable virtual infrastructures. The paper describes the proposed architecture and details a case study that involves deploying the virtual infrastructure of an online course on Cloud Computing with Amazon Web Services (AWS) on top of AWS itself. It also describes scalability approaches that can be employed to provide infrastructure access to SPEs for larger audiences, such as those found in MOOCs.
Factors associated with atomoxetine efficacy for treatment of attention-deficit/hyperactivity disorder in children and adolescents.

OBJECTIVES The aims of this study were to determine if relationships exist between the efficacy of atomoxetine for treatment of attention-deficit/hyperactivity disorder (ADHD) and demographic characteristics, specific co-morbid diagnoses, subtype of ADHD, and/or additional use of a stimulant medication. METHOD A retrospective chart review was performed using data from an institutional electronic medical record system. Children aged 5-17 years who were diagnosed with ADHD and prescribed atomoxetine were included; 432 study subjects were categorized as treatment success (TS), treatment failure (TF), or undetermined. Co-morbid diagnoses, demographic factors, subtype of ADHD, and additional use of stimulant medications were examined for association with TS. RESULTS A total of 88 children were categorized as TS, 197 as TF, and 147 as undetermined. More subjects in the TS group were receiving stimulant medication in addition to the atomoxetine than in the TF group (p = 0.0319; 95% Wald confidence interval [CI], 1.064-3.972). There was no significant difference between groups for any demographic characteristic, the presence of any co-morbid diagnosis, or type of ADHD. In particular, the presence of anxiety or depression was not associated with a response to atomoxetine. CONCLUSION Children who were prescribed a stimulant medication in addition to atomoxetine had better outcomes in treating ADHD than those receiving only atomoxetine.
An Automated Gridding and Segmentation Method for cDNA Microarray Image Analysis

Gridding and spot segmentation are two critical steps in microarray gene expression data analysis. However, the problems of noise contamination and donut-shaped spots often make signal extraction process a labor intensive task. In this paper, we propose a three-step method for automatic gridding and spot segmentation. The method starts with a background removal and noise eliminating step, and then proceeds in two steps. The first step applies a fully unsupervised method to extract blocks and grids from the cleaned data. The second step applies a simple, progressive spot segmentation method to deal with inner holes and noise in spots. We tested its performance on real microarray images against a widely used software GenePix. Our results show that the proposed method deals effectively with poor-conditioned microarray images in both gridding and spot segmentation
An electromechanical valve drive incorporating a nonlinear mechanical transformer

a Nonlinear Mechanical Transformer by Woo Sok Chang S.M. , Mechanical Engineering, Massachusetts Institute of Technology (1999) M.S., Electrical Engineering, Seoul National University (1990) B.S., Electrical Engineering, Seoul National University (1988) Submitted to the Department of Electrical Engineering and Computer Science in Partial Fulfillment of the Requirements for the Degree of Doctor ofPhilosophy in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology
HP YLORIERADICATION AND GORD: VIEWPOINT 2 Helicobacter pylori eradication does not exacerbate gastro- oesophageal reflux disease

ost of the pathologies of the upper digestive system are either related to Helicobacter pylori infection or gastro- oesophageal reflux disease (GORD). The recipro- cal influence if both conditions occur concomi- tantly has been an issue of debate for many years. 12 Presentation of data with the aim of solving this intriguing issue has been consider- able but the results are conflicting and so are the interpretations. 3-5 The relationship between H pylori and GORD has been professed from virtually none to a protective role of H pylori against GORD development. The fact is that both conditions coexist in a considerable number of patients and the association varies according to the background prevalence of the infection in the populations studied. The average reported pre- valence of H pylori infection in patients with GORD from a world perspective is 38%. 6
GlyCulator: A Glycemic Variability Calculation Tool for Continuous Glucose Monitoring Data

Glycemic variability has become a major concern over the years as growing evidence is gathered on its detrimental impact on the risk of diabetes complications. Glycated hemoglobin, although ubiquitous in clinical practice, does not adequately summarize short-term glycemic variability. This gap may be addressed through the use of continuous glucose monitoring, which continuously estimates glycemia based on interstitial fluid glucose concentration. As the amount of collected data is substantial, variability of the glycemic pattern can be analyzed in context of its direction, periodicity, and amplitude. As freely available variability calculation tools are limited in number and complexity, the authors have devised a simple-to-use Web-based application, “GlyCulator,” allowing for rapid computation of glucose variability parameters from continuous glucose monitoring data.
Stochastic Petri nets for modelling and simulation

Stochastic Petri nets (SPNs) have proven to be a powerful and enduring graphically-oriented framework for modelling and performance analysis of complex systems. This tutorial focuses on the use of SPNs in discrete-event simulation. After describing the basic SPN building blocks and discussing the modelling power of the formalism, we present elements of a steady-state simulation theory for SPNs. Specifically, we provide conditions on the building blocks of an SPN that ensure long-run stability for the underlying marking process (or for a sequence of delays determined by the marking process) and the validity of estimation procedures such as the regenerative method, the method of batch means, and spectral methods.
ALGUMAS EVIDÊNCIAS SOBRE O PAPEL DAS REDES DE RELACIONAMENTO E EMPREEENDEDORISMO NA INTERNACIONALIZAÇÃO DAS PEQUENAS E MÉDIAS EMPRESAS

A partir da abertura comercial no Brasil, iniciada nos anos 1990, as empresas nacionais comecaram a competir fortemente com empresas estrangeiras, sendo necessaria uma rapida modernizacao em suas estruturas para manterem-se no mercado. Logo percebeu-se a necessidade da internacionalizacao das empresas brasileiras como estrategia de crescimento e sustentabilidade de suas operacoes. Atraves de um estudo de caso, analisou-se o processo de internacionalizacao de duas medias empresas brasileiras, com o objetivo de compreender como a rede de relacionamento influenciou neste processo. Com este estudo, pode-se concluir que o papel empreendedor do proprietario da empresa e a cultura organizacional voltada para a internacionalizacao foram a chave que permitiu o sucesso do processo.As empresas se utilizaram de suas redes de relacionamento para internacionalizarem- se, sendo as redes uma base essencial que fomentou a internacionalizacao das empresas estudadas.
An Adaptive Approach to Granular Real-Time Anomaly Detection

Anomaly-based intrusion detection systems have the ability to detect novel attacks, but when applied in real-time detection, they face the challenges of producing many false alarms and failing to match with the high speed of modern networks due to their computationally demanding algorithms. In this paper, we present Fates, an anomaly-based NIDS designed to alleviate the two challenges. Fates views the monitored network as a collection of individual hosts instead of as a single autonomous entity and uses dynamic, individual threshold for each monitored host, such that it can differentiate between characteristics of individual hosts and can independently assess their threat to the network. Each packet to and from a monitored host is analyzed with an adaptive and efficient charging scheme that considers the packet type, number of occurrences, source, and destination. The resulting charge is applied to the individual hosts threat assessment, providing pinpointed analysis of anomalous activities. We use various datasets to validate Fates ability to distinguish scanning behavior from benign traffic in real time.
Potassium conductance and oscillatory contractions in tail arteries from genetically hypertensive rats.

Tail arteries isolated from the stroke-prone substrain of the spontaneously hypertensive rat (SHR-SP) exhibit oscillatory contractile responses to norepinephrine. Simultaneous recording of force generation and membrane potential (Em) has previously demonstrated that the contractile phase of these oscillations is associated with bursts of calcium-dependent action potentials. The smooth muscle cells are electrically quiescent during the relaxation phase of the oscillations. The present studies were designed to test the hypothesis that this quiescent period results from the stimulation of a calcium-activated potassium conductance (gKCa) in the cells responsible for triggering the bursting activity. Isolated tail artery strips from SHR-SP and Wistar-Kyoto rats (WKY) were prepared for measurement of isometric force generation or for simultaneous recording of force and Em. The channel-specific toxins apamin (4 x 10(-7) mol/l) and charybdotoxin (4.7 x 10(-8) did not alter the oscillatory pattern of contraction in response to norepinephrine. Oscillations were converted to sustained contraction by barium (10(-4) mmol), quinidine (5.8 x 10(-5) mmol) and elevation of extracellular potassium (20 mmol/l). Em recordings show that both potassium and barium convert bursting activity into tonic firing. Only 20 mmol/k+ caused significant depolarization in addition to that produced by norepinephrine. In contrast, quinidine appears to alter oscillatory behavior by interfering with calcium-spike generation. Norepinephrine-induced electrical activity is diminished in the presence of quinidine. These results suggest that potassium conductance plays an important role in controlling Em, electrical spiking and therefore oscillatory contractile activity in response to norepinephrine in the tail arteries of SHR-SP. (ABSTRACT TRUNCATED AT 250 WORDS)
The role of functional and symbolic brand associations on brand loyalty

Purpose – The purpose of this paper is to examine the effects of functional (perceived quality) and symbolic (personality congruence, user imagery congruence, brand prestige and brand tribalism) brand associations in attitude and brand loyalty of Generation Y’s consumers towards two categories of luxury fashion brands. Design/methodology/approach – A structural equation modeling method is employed in this research based on data collected from 450 individuals born between 1977 and 1994 in Iran. Watches and sunglasses are two luxury product categories chosen in this study. Findings – The findings of the study reveal that perceived quality is the better predictor of brand attitude and brand loyalty. Personality congruence (mediated by perceived brand quality), brand prestige (mediated by perceived brand quality and brand attitude) and brand tribalism (mediated by brand attitude) have an indirect positive effect on brand loyalty. Research limitations/implications – Due to the historical delay in the entrance .
Clustering Related Terms with Definitions

It is a challenging task to match similar or related terms/expressions in NLP and Text Mining applications. Two typical areas in need for such work are terminology and ontology constructions, where terms and concepts are extracted and organized into certain structures with various semantic relations. In the EU BOOTSTrep Project we test various techniques for matching terms that can assist human domain experts in building and enriching ontologies. This paper reports on a work in which we evaluated a text comparing and clustering tool for this task. Particularly, we explore the feasibility of matching related terms with their definitions. Ontology terms, such as Gene Ontology terms, are often assigned with detailed definitions, which provide a fundamental information source for detecting relations between terms. Here we focus on the exploitation of term definitions for the term matching task. Our experiment shows that the tool is capable of grouping many related terms using their definitions.
ADDiff: semantic differencing for activity diagrams

Activity diagrams (ADs) have recently become widely used in the modeling of workflows, business processes, and web-services, where they serve various purposes, from documentation, requirement definitions, and test case specifications, to simulation and code generation. As models, programs, and systems evolve over time, understanding changes and their impact is an important challenge, which has attracted much research efforts in recent years. In this paper we present addiff, a semantic differencing operator for ADs. Unlike most existing approaches to model comparison, which compare the concrete or the abstract syntax of two given diagrams and output a list of syntactical changes or edit operations, addiff considers the semantics of the diagrams at hand and outputs a set of diff witnesses, each of which is an execution trace that is possible in the first AD and is not possible in the second. We motivate the use of addiff, formally define it, and show two algorithms to compute it, a concrete forward-search algorithm and a symbolic fixpoint algorithm, implemented using BDDs and integrated into the Eclipse IDE. Empirical results and examples demonstrate the feasibility and unique contribution of addiff to the state-of-the-art in version comparison and evolution analysis.
Lateral Model Predictive Control for Over-Actuated Autonomous Vehicle

In this paper, a lateral controller is proposed for an over-actuated vehicle. The controller is formulated as a linear time-varying model predictive controller. The aim of the controller is to track a desired path smoothly, by making use of the vehicle crabbing capability (sideways movement) and minimizing the magnitude of curvature used. To do this, not only the error to the path is minimized, but also the error to the desired orientation and the control signals requests. The controller uses an extended kinematic model that takes into consideration the vehicle crabbing capability and is able to track not only kinematically feasible paths, but also plan and track over non-feasible discontinuous paths. Ackermann steering geometry is used to transform the control requests, curvature, and crabbing angle, to wheel angles. Finally, the controller performance is evaluated first by simulation and, after, by means of experimental tests on an over-actuated autonomous research vehicle.