Miracle-dz/UniFAR-FTUs huggingface dataset:
Measuring adaptability demands of jobs and the adaptability of military and civilians

ABSTRACT Jobs within the military and in civil society differ in character and requirements. It is assumed that differences in job types both within civil and military domains require different dimensions of adaptability competency. The present study investigates this assumption. The Dutch Adaptability Dimensions And Performance Test (D-ADAPT) was used to measure both the adaptability demands of jobs, and of self-assessed adaptability competency of employees. In addition, the predictive value of certain personality traits (openness, neuroticism, and conscientiousness) and other relevant personal characteristics (cognitive flexibility, learning goal orientation) on various adaptability dimensions was explored. Military personnel were found to estimate their adaptability competency as higher than civilians did. With respect to the civilian jobs, the adaptability demands varied across job types. This was not found in the set of military jobs, possibly due to a smaller variety of jobs included. This study also shows that a variety of personal characteristics predict different dimensions of adaptability. Cognitive flexibility was found to be the best predictor for adaptability in general. Openness turned out to be a good predictor within the civilian group, whereas neuroticism was a better predictor within the military group. Results of this study contribute to a better understanding of work adaptability and influencing personality characteristics. Practical implications for selection and training of personnel can be derived, based on the acquisition of adaptability competency that matches the type of job.
Performance evaluation for the power saving class type III with a sleep-delay in IEEE 802.16e

Considering the memoryless property of user initiated packet arrivals in wireless broadband metropolitan networks, we present a sleep-delay scheme for the conventional power saving class type III in the IEEE 802.16e. In this paper, a discrete-time multiple vacation queueing model with vacation-delay is built to capture the working principle for the power saving class type III with a sleep-delay. Using the method of the boundary state variable theory to analyze the system model, we derive performance measures such as the queue length, the waiting time and the busy cycle in the steady state. Correspondingly, the formula for some performance measures in terms of the handover ratio, the average response time, the power saving ratio and the system utility for the power saving scheme with sleep-delay are also presented. Numerical results are given to demonstrate the dependency relationships among the performance measures and the time length of the sleep-delay timer, and to validate the effect of the sleep-delay mechanism presented in this paper.
Determinants of knowledge sharing behavior

In the new global knowledge has become a central issue for organization’s survival. Recently, in knowledge management (KM)-related research effective knowledge sharing (KS) is considered as a significant component of KM success. The importance of knowledge sharing in knowledge management can be interpreted as a blood circulating in the body. There has been a dramatically interest in examining the factors that encourage or hamper individual’s knowledge sharing behavior in social network. Some theories such as Social Exchange Theory (SET), Theory of Reasoned Action (TRA), Theory of Planned Behavior (TBP), and Technology Acceptance Model (TAM) are vastly used to understand human behavior and are also considered as a critical base to understand individual’s knowledge sharing behavior. For the present research, the authors intend to review the previous researches that explored different factors effect on knowledge sharing behavior. So, the purpose of this paper is to review recent research in KS determinants to find out the most important factors which influence KS behavior. This will help us to understand how various examined factors influence knowledge sharing behavior and how different perspectives could correctly formulate the knowledge sharing behavior. The paper first gives a brief overview of the recent history of KS, and some social-psychological models, which have been applied for determining the KS behavior and finally gives suggestions for future scholars who are interested to study more efficient in this area.
Association between vitamin D receptor gene polymorphisms and chronic periodontitis among Libyans

Background Chronic periodontitis (CP) is a common oral disease characterized by inflammation in the supporting tissue of the teeth ‘the periodontium’, periodontal attachment loss, and alveolar bone loss. The disease has a microbial etiology; however, recent findings suggest that the genetic factors, such as vitamin D receptor (VDR) gene polymorphisms, have also been included. Aim Investigation of the relationship between VDR gene polymorphisms and CP among Libyans. Materials and methods In this study, we examined 196 unrelated Libyans between the ages of 25 and 65 years, including 99 patients and 97 controls. An oral examination based on Ramfjord Index was performed at different dental clinics in Tripoli and information were collected using a self-reported questionnaire. DNA was extracted from buccal swabs; the VDR ApaI, BsmI, and FokI polymorphisms were genotyped using polymerase chain reaction and were sequenced using Sanger Method. Results A significant difference in the newly detected ApaI SNP C/T rs#731236 was found (p=0.022), whereas no significant differences were found in ApaI SNP G/T rs#7975232, BsmI SNP A/G rs#1544410, and FokI SNP A/G rs#2228570 between patients and controls (p=0.939, 0.466, 0.239), respectively. Conclusion VDR ApaI SNP C/T rs#731236 may be related to the risk of CP in the Libyan population.
Detection of Fraud & Malware Apps in Google Play

Ranking fraud in the mobile App market refers to fraudulent or deceptive activities which have a purpose of bumping up the Apps in the popularity list. Indeed, it becomes more and more frequent for App developers to use shady means, such as inflating their Apps’ sales or posting phony App ratings, to commit ranking fraud. While the importance of preventing ranking fraud has been widely recognized, there is limited understanding and research in this area. To this end, in this paper, we provide a holistic view of ranking fraud and propose a ranking fraud detection system for mobile Apps. Specifically, we first propose to accurately locate the ranking fraud by mining the active periods, namely leading sessions, of mobile Apps. Such leading sessions can be leveraged for detecting the local anomaly instead of global anomaly of App rankings.
Potentialities and challenges of VLC based outdoor positioning

While visible light communication (VLC) with inherent advantages is believed to be the next generation of wireless technology, positioning using visible light also has the potential of becoming a standard approach for positioning in the future. Although many indoor positioning systems based VLC have been proposed recently, there is very few paper related outdoor positioning using visible light. In this paper, firstly we point out difficulties when using visible light for outdoor positioning. Then we survey existing indoor positioning techniques using visible light and evaluate the potentialities and challenges of applying them to outdoor positioning.
Uniqueness for diffusions degenerating at the boundary of a smooth bounded set

For continuous y, g : [0, 1 ] → (0, oo), consider the degenerate stochastic differential equation d X t = [|X t | 2 ] 1/2 γ(|X t |)d B t -g(|X t |X t dt in the closed unit ball of R n . We introduce a new idea to show pathwise uniqueness holds when y and g are Lipschitz and g(1)/γ 2 (1) > √2 - 1. When specialized to a case studied by Swart [Stochastic Process. Appl. 98 (2002) 131-149] with y = √2 and g ≡ c, this gives an improvement of his result. Our method applies to more general contexts as well. Let D be a bounded open set with C 3 boundary and suppose h: D → R Lipschitz on D, as well as C 2 on a neighborhood of ∂D with Lipschitz second partials there. Also assume h > 0 on D, h = 0 on ∂D and |⊇h| > 0 on ∂D. An example of such a function is h(x) = d(x, ∂D). We give conditions which ensure pathwise uniqueness holds for d X t = h(X t ) 1/2 σ(X t )dB t + b(X t )dt in D.
On the gradient-based algorithm for solving the general coupled matrix equations

Recently, the gradient-based iterative algorithms have been widely exploited for finding the (least-squares) solutions of the different kinds of (coupled) linear matrix equations. Nevertheless, so far, the convergence of the propounded gradient-based algorithms has been studied for the case where the mentioned (coupled) linear matrix equations have a unique (least-squares) solution. In the present paper, we consider the consistent general coupled linear matrix equations which incorporate many of the recently investigated (coupled) linear matrix equations as their special instances. It is demonstrated that using a gradient-based iterative algorithm for solving the mentioned coupled linear matrix equations is equivalent to extending the well-known Richardson method for solving the normal equations corresponding to the original coupled linear matrix equations. In addition, we prove the semi-convergence of the Richardson method when the coefficient matrix of the associated normal equations is singular. Finally, some numerical experiments are presented to illustrate the validity of our theoretical results.
The Effect of Clustering on Data Privacy

The data obtained by various organizations provide opportunities for generating solutions in the future. It is essential that, the accurate data must be sharable with research communities and scientists in order to improve quality of life. However, accurate records of personal data include sensitive information about individuals. Hence sharing these records without applying any anonymization criteria paves the way for disclosure of personal privacy. In an effort to protect personal privacy, Privacy-Preserving Data Mining (PPDM) and Privacy-Preserving Data Publishing (PPDP) approaches have been studied extensively. Numerous works have been dedicated to diversifying techniques for de-identification or anonymization of identifiable datasets, but there is an important trade-off between data loss and data privacy. While original data anonymized, it exposed to information loss. In order to minimize information loss, the anonymization algorithms discard keeping diversity. In this study, we proposed an approach that uses a clustering algorithm as a pre-process for privacy preserving methods to improve the diversity of anonymized data. In addition, the effect of clustering on anonymization was evaluated by using original and clustered form of a real world dataset. The results are evaluated with the aspect of usability in scientific works and it was observed that a clustering algorithm and an affective anonymization algorithm must be used in privacy preservation approaches in order to keep diversity of the original datasets.
GLP-1–Based Therapy for Diabetes: What You Do Not Know Can Hurt You

According to the Oxford Dictionary of Proverbs , the oldest written version of the saying “What you don't know can't hurt you” comes from Petit Palace , written in 1576 by G. Pettie: “So long as I know it not, it hurteth mee not. ” In this issue of Diabetes Care , Drucker et al. (1) conclude that the safety profile of the newly available glucagon-like peptide 1 (GLP-1) class of drugs is favorable in comparison to their benefits as therapy, and the class of drugs might be considered as next in line after metformin for treatment for type 2 diabetes. The purpose of this counterpoint is to suggest such a conclusion is premature. History has taught us that enthusiasm for new classes of drugs, heavily promoted by the pharmaceutical companies that market them, can obscure the caution that should be exercised when the long-term consequences are unknown. Of perhaps greatest concern in the case of the GLP-1–based drugs, including GLP-1 agonists and dipeptidyl peptidase-4 (DPP-4) inhibitors, is preliminary evidence to suggest the potential risks of asymptomatic chronic pancreatitis and, with time, pancreatic cancer. The GLP-1–related drugs arrived in clinical practice with much fanfare and anticipation. As summarized in the article by Drucker et al., it is a class of drugs that has potential benefits in the treatment of type 2 diabetes. The concept of gut-related factors that enhance glucose-mediated insulin secretion, the incretin effect, has been recognized for many years (2). Once it was demonstrated that an intravenous infusion of GLP-1 could decrease blood glucose concentrations in patients with type 2 diabetes, the race was on to exploit the properties of this action. Many millions of dollars have been invested by the pharmaceutical industry in developing products, the first of which are now in clinical practice. Many millions of dollars …
A SIMULATION ENVIRONMENT FOR UNDULATORY LOCOMOTION

Abstract This paper presents a block-based simulation environment,developed on top of Matlab/Simulink TM to facilitate re-search into various aspects of undulatory robotic locomo-tion in biology and robotics, including assessing the effectof different body conﬁgurations on gait generation. Sim-ulations of snake-like mechanisms are made in this envi-ronment by connecting customisable body segment blocksvia appropriate joint blocks, which are activated (either byexplicit joint control blocks, or by neuromusclular controlblocks) to propagate a travelling wave along the mecha-nism. Several force models are used to characterise theinteraction with the locomotion environment, and emulatecrawling, walking and swimming. Simulations of anguil-liform swimming are presented to illustrate the versatilityof the developed tools, and the potential of their use in avariety of domains, from robotics to computational neu-roethology.Keywords: Biomechanical modelling, undulatory lo-comotion, Simulink 1 Introduction
Assessing Predictors of Software Defects

OVERVIEW: When learning defect detectors from static code measures, NaiveBayes learners are better than entrophy-based decision-tree learners. Also, accuracy is not a useful way to assess those detectors. Further, those learners need no more than 200-300 examples to learn adequate detectors, especially when the data has been heavily stratified; i.e. divided up into sub-sub-sub systems (and by “adequate”, we mean that those detectors perform nearly as well slower, more expensive manual inspections). The rest of this paper describes how we reached those conclusions after (i) an analysis of known baselines in the literature and (ii) a review of a assessment methods for detectors learned from the NASA defect logs of Figure 1. BASELINES: If defect detectors are interesting, they must somehow be better than known baselines in the literature. For example, consider manual code reviews. These reviews are labor intensive; depending on the methods, 8 to 20 LOC/minute can be inspected and this effort repeats for all members of the review team, which can be as large as four or six [5]. These reviews can also be effective. A recent panel at IEEE Metrics 2002 [6] concluded that such reviews can find ≈60% of defects1. That defect detection rate has a wide variance. Raffo found that the defect detection capability of industrial inspection methods can vary from TR(35, 50, 65)%2 for full Fagan inspections, to TR(13, 21, 30) for some widely-used industrial practices. PUBLIC DOMAIN PROBLEMS: The data used in this study comes from the CM1, JM1, PC1, KC1 and KC2 NASA applications shown in Figure 1. This data con-
Comparative Bioinformatics and Experimental Analysis of the Intergenic Regulatory Regions of Bacillus cereus hbl and nhe Enterotoxin Operons and the Impact of CodY on Virulence Heterogeneity

Bacillus cereus is a food contaminant with greatly varying enteropathogenic potential. Almost all known strains harbor the genes for at least one of the three enterotoxins Nhe, Hbl, and CytK. While some strains show no cytotoxicity, others have caused outbreaks, in rare cases even with lethal outcome. The reason for these differences in cytotoxicity is unknown. To gain insight into the origin of enterotoxin expression heterogeneity in different strains, the architecture and role of 5′ intergenic regions (5′ IGRs) upstream of the nhe and hbl operons was investigated. In silico comparison of 142 strains of all seven phylogenetic groups of B. cereus sensu lato proved the presence of long 5′ IGRs upstream of the nheABC and hblCDAB operons, which harbor recognition sites for several transcriptional regulators, including the virulence regulator PlcR, redox regulators ResD and Fnr, the nutrient-sensitive regulator CodY as well as the master regulator for biofilm formation SinR. By determining transcription start sites, unusually long 5′ untranslated regions (5′ UTRs) upstream of the nhe and hbl start codons were identified, which are not present upstream of cytK-1 and cytK-2. Promoter fusions lacking various parts of the nhe and hbl 5′ UTR in B. cereus INRA C3 showed that the entire 331 bp 5′ UTR of nhe is necessary for full promoter activity, while the presence of the complete 606 bp hbl 5′ UTR lowers promoter activity. Repression was caused by a 268 bp sequence directly upstream of the hbl transcription start. Luciferase activity of reporter strains containing nhe and hbl 5′ IGR lux fusions provided evidence that toxin gene transcription is upregulated by the depletion of free amino acids. Electrophoretic mobility shift assays showed that the branched-chain amino acid sensing regulator CodY binds to both nhe and hbl 5′ UTR downstream of the promoter, potentially acting as a nutrient-responsive roadblock repressor of toxin gene transcription. PlcR binding sites are highly conserved among all B. cereus sensu lato strains, indicating that this regulator does not significantly contribute to the heterogeneity in virulence potentials. The CodY recognition sites are far less conserved, perhaps conferring varying strengths of CodY binding, which might modulate toxin synthesis in a strain-specific manner.
Design and Implementation of A Network Security Management System

In recent years, the emerged network worms and attacks have distributive characteristics, which can spread globally in a short time. Security management crossing network to co-defense network-wide attacks and improve the efficiency of security administration is urgently needed. This paper proposes a hierarchical distributed network security management system (HD-NSMS), which can centrally manage security across networks. First describes the system in macrostructure and microstructure; then discusses three key problems when building HD-NSMS: device model, alert mechanism, and emergency response mechanism; at last, it describes the implementation of HD-NSMS. The paper is valuable for implementing NSMS in that it derives from a practical network security management system (NSMS).
The NanoBox : A Self-Correcting Logic Block for Emerging Process Technologies with High Defect Rates

Semiconductor fabrication trends indicate that emerging process technologies will experience an increase in the number of noise induced errors and device defects. While past work in fault tolerance has focused on static testing, modular redundancy in combinational logic, and error correcting codes in memories, the prevalence of transient errors may make these techniques less effective. In this project, we introduce the NanoBox, a field-programmable gate array (FPGA) style lookup table with fault tolerance coding applied to the static random access memory (SRAM) array within the lookup table. In this way, we contain and selfcorrect errors within the lookup table, thereby presenting a robust logic block to higher levels of logic design. Our results show that triplicating the SRAM array within the lookup table gives excellent error coverage, has a 1.9x area overhead, 2.2x power overhead, and a 1.3x delay overhead, as compared to a design with no fault tolerance coding. We also investigate NanoBox implementations using information coding, but we find these implementations have significantly higher overhead, and worse error coverage, than the triplicated SRAM bit implementation.
The Impact of Cultural Similarity on Consumer Ethnocentrism Tendencies Toward Foreign Products

Consumer ethnocentrism is found to be an important factor in making consumers adversely evaluate foreign products. This study is an attempt to improve understanding of consumer ethnocentrism and its influence on consumer attitude and purchase intention toward foreign products in an emergent market. It was also hypothesized that cultural similarity moderates the relationship between consumer ethnocentrism and purchase intention in which domestic products are not available. All but one of the hypotheses were accepted. Consumer ethnocentrism is found to have a strong influence on consumer attitude but does not significantly affect consumer purchase intention toward foreign products. Cultural similarity was found to have a significant moderating effect on the relationship between consumer ethnocentrism and purchase intention. This suggests that cultural similarity plays an important role for ethnocentric consumers in the evaluation of foreign products. Theoretical and managerial implications are discussed.
Scene Illumination and Surface Albedo Recovery via L 1-Norm Total Variation Minimization hc 2599

Remaining to be a quite difficult ill-posed problem, scene illumination estimation and albedo (reflectance) recovery is an increasingly important issue in recent years, especially in the topics of pattern recognition, robotics, and computational photography. In this paper we concern about the intrinsic image recovery given only a single image. Based on physics assumptions, we regard this problem as a convex optimization problem. By the approach proposed in this paper, an input image can be decomposed in to three intrinsic images: the reflectance (albedo) intrinsic image, the light color intrinsic image, and the light intensity intrinsic image. A quadratic least-square minimization as well as a L1 norm total variation minimization approach are proposed and discussed in this paper. Experimental results and possible applications are also demonstrated to exploit the possible utilization of this solution.
Empirical Study on Content of Strategic Human Resource Management in China

By choosing 382 Chinese enterprises as samples and using questionnaire techniques, we generalized the contents of Strategic Human Resource Management (SHRM) into five factors: motivation, training and development, recruitment, HRM technique, and basic HRM work. In addition we developed a questionnaire named The Scale on the SHRM System about Chinese Enterprises with good reliability and validity, and found that the enterprises with different ownership and size have significant differences in the scores of HRM system.
An Incremental Learning Model for Commonsense Reasoning

A self-organizing incremental learning model that attempts to combine inductive learning with prior knowledge and default reasoning is described. The inductive learning scheme accounts for useful generalizations and dynamic priority allocation, and effectively supplements prior knowledge. New rules may be created and existing rules modified, thus allowing the system to evolve over time. By combining the extensional and intensional approaches to learning rules, the model remains self-adaptive, while not having to unnecessarily suffer from poor (or atypical) learning environments. By combining rule-based and similarity-based reasoning, the model effectively deals with many aspects of brittleness.