Miracle-dz/UniFAR-FTUs huggingface dataset:
Do video game players and non-video game players have different visual cognitive skills?

Action video games have a great popularity for entertainment purposes. Recent studies suggest that these games might also offer a chance to train cognitive skills, such as logic, planning and visual skills. This study will try to compare the visual cognitive skills of video game player and non-video game players. The executive control, visual working memory and temporal and visuospatial attention of students with experience in the action video game Counter Strike were compared with students without experience in this game. The participants were tested with a spatial Stroop task, an attentional blink paradigm, a change detection task and a useful field of view task. The results suggest no difference between the two groups. This discrepancy with the literature addressed above might be due to the young age of the participants, the too little experience in the game of the gaming group. Other literature supports these claims.
Optimized Stock market prediction using ensemble learning

Researchers of various fields have always been interested in devising a fault-proof method for the prediction of stock market. Extensive research has been done using Machine Learning Algorithms like SVM, to successfully predict the stock activity in the market using machine learning algorithms mainly Support Vector Machine (SVM). In this paper a scenario in which a portfolio trading strategy is formulated using machine learning algorithms. The strategy will be considered profitable by judging its ability to identify stock indices accurately and consistently, proposing positive or negative returns and in the end it should use a learned model to produce a preferred portfolio allocation. Some of the Technical Indicators like Multiple Regression Analysis (MRA) and different data clustering techniques are used as input to train the system. The learned model is constructed as weighted support vector machine (SVM) classifier, Relevance Vector Machine, random forest classifiers and Multiple Layer Perceptron (MPL). The decision value would be chosen using a majority voting mechanism. The ensemble learning is augmented by a boosting meta-algorithm and feature selection is performed by a supervised Relief algorithm. Stocks listed in Istanbul Stock Exchange (ISE) in Turkey are used to evaluate the performance of the system. A comparison of results obtained using ensemble committee and those using other approaches would show that the ensemble approach has a lower error rate and generates fewer but compact rules.
A method of SaaS multi-tenant model recommendation based on graph matching

Multi-tenant SaaS software as one of the application pattern in Cloud Computing delivers software thourgh Web to the users by rhe service manner. So, it can reduce the cost of users, and reduce the cost of the maintainess and management by providers. The first problem that must be considered is how to provide the most appropriate tenant to the user according to the business request from the user in different level. In the basis of interaction oriented multi-tenant SaaS application, this paper propose a conversation protocol matching method based on graph matching. This method uses A∗ algorithm, and finds the most similar model graph matching to user request through ECGM testing. Also, we improve the efficiency of subgraph isomorphism method by tenant model filtering based on complete business model. Through he simulation experimental, it represents this method can achieve the most similar results, and the efficiency is improved.
From being there to being aware: Confronting geographical and sociological imaginations of copresence

In economic geography, the notion of copresence has been at the very center of the research agenda for decades. The elaboration of the benefits of colocation and physical proximity was (and still is) a chief aim of the disciplinary project to demonstrate that “geography matters”. The geographical concern with colocation, proximity and distance, in fact, resonates with the sociological discourse on copresence. And yet, the relationship between copresence and its (distant) geographical relatives has rarely been explicated in a systematic fashion. By drawing on the seminal contributions by Goffman, Giddens and Knorr Cetina, amongst others, this account confronts the geographical conceptions of colocation, proximity and distance with sociological perceptions of copresence. By advancing from copresence as “being there” to copresence as “being aware” we seek to push beyond the prevailing physical perceptions of copresence towards a more socially constructivist understanding that accounts for the simultaneity and mutual conditioning of diverse modes of copresence and absence.
A ROUTINE METHOD FOR OBTAINING HIGH CONTRAST WITHOUT STAINING SECTIONS

Immersion of tissue in aqueous uranyl acetate be- for giving some degree of contrast to components fore embedding is commonly practiced to increase such as membranes when they extend through the the contrast on sections which are subsequently thickness of the section parallel to the electron stained (2, 3, 5). The treatment is only satisfactory beam . A simple modification of current practice
Congenital central hypoventilation syndrome: PHOX2B genotype determines risk for sudden death

Children with Congenital Central Hypoventilation Syndrome (CCHS) have cardiovascular symptoms consistent with the autonomic nervous system dysregulation/dysfunction (ANSD) phenotype. We hypothesized that children with CCHS would have a relationship between PHOX2B genotype and two clinically applicable cardiovascular measures of ANSD: duration of longest r‐r interval and longest corrected QT interval (QTc).
Territories of Poverty: Rethinking North and South

thus little need to flex its muscle over local governments. That may open a window for local residents to influence city governments, but for how long, really? This chapter, however, like all the others on deliberation demonstrates theorizing, creatively and expertly, around the edges of the core conflict, finding variations in heuristics that, for all the many potential, emotive, normative, and narrative riffs, still wind up in the same basic place: what state-capital coalitions want, they get.
959 Nematode Genomes: a semantic wiki for coordinating sequencing projects

Genome sequencing has been democratized by second-generation technologies, and even small labs can sequence metazoan genomes now. In this article, we describe ‘959 Nematode Genomes’—a community-curated semantic wiki to coordinate the sequencing efforts of individual labs to collectively sequence 959 genomes spanning the phylum Nematoda. The main goal of the wiki is to track sequencing projects that have been proposed, are in progress, or have been completed. Wiki pages for species and strains are linked to pages for people and organizations, using machine- and human-readable metadata that users can query to see the status of their favourite worm. The site is based on the same platform that runs Wikipedia, with semantic extensions that allow the underlying taxonomy and data storage models to be maintained and updated with ease compared with a conventional database-driven web site. The wiki also provides a way to track and share preliminary data if those data are not polished enough to be submitted to the official sequence repositories. In just over a year, this wiki has already fostered new international collaborations and attracted newcomers to the enthusiastic community of nematode genomicists. www.nematodegenomes. org.
The Role of Metacognition and Anxiety in College Students’ Performance on a General-Knowledge Test

Previous research has demonstrated that college students do not consistently make accurate metacognitive judgments (e.g. Dunlosky & Lipko, 2007). Such inaccuracy can be a concern because students’ metacognitive judgments affect their academic performance. For example, after selecting answers on an exam, students may reflect on their confidence in those selected answers and if they are not confident, they may consider making changes. Previous research has investigated reasons for why students opt to change answers as well as general beliefs about answer-changing (e.g. Benjamin, Cavell, & Schallenberger, 1984). Such research has found that students often worry that changing answers will negatively impact their grade and thus they hesitate to make changes (e.g. Mueller & Wasser, 1977). However, the existing empirical research on answer-changing does not support students’ beliefs (e.g., Foote & Belinky, 1972). Changing answers can actually be beneficial for students. The current research examines whether students’ general anxiety levels may impact their confidence ratings and/or decisions to change answers on an exam. It is expected that students with more reported anxiety will change more answers and have lower confidence ratings. THE ROLE OF METACOGNITION AND ANXIETY 2 The Role of Metacognition and Anxiety in College Students’ Performance on a GeneralKnowledge Test Metacognition, is the ability to make a judgement about one’s own cognitive processes (Dunlosky and Metcalfe, 2009). In other words, it is the ability to recognize how well one understands a given topic, or thinking about thinking. This concept is important especially in the context of education where students must accurately monitor their knowledge while studying for and taking tests (Hacker, Dunlosky, & Grasser, 2009). Imagine you are a student studying for a final exam, when do you make the decision to stop studying? This decision is vital for potential success on the exam. Students who do not make accurate judgements about their knowledge have the potential to do worse on evaluative assessments. When students cannot accurately assess their understanding of to-be tested material, they are more likely to stop studying too early, which will result in a lower grade on the assessment. The decision to stop studying for a particular assessment can be anxiety provoking for students. In fact, studying in general often induces anxiety in students. Also, if one stops too early, and the result is a lower grade on a test, they may develop an anxious reaction to future examinations. This paper will investigate the relationship between anxiety, and metacognition. First, the literature on general anxiety, and metacognition will be briefly reviewed. Then the literature on, test anxiety, and its potential links to metacognition will be discussed. Finally, a potential link will be examined between answer changing behaviors, confidence levels, and test anxiety.
Medical image denoising from similar patches derived by Rough Set

Current state-of-the-art research on denoising involves patch similarity. The similar patches are obtained either from image itself or from dictionary of patches. This paper proposes a new way to find similar patches from a given image using Rough Set Theory (RST). Search for similar patches is usually restricted locally. However, a global search could fetch patches which are more similar. The current RST based approach is enabling such search global and hence satisfying the Non-local principal which is the basis for patch based denoising. Like a few other denoising techniques, the framework of nonlocal means and principal component analysis both are then utilized to denoise medical images. The main essence of the current work reflects true sense of non-locality of similar patches. Exhaustive experiments clearly indicate comparability of the current proposal to the state-of-the-art methods in the light of several evaluation measures.
An Overview of Checkpointing in Uniprocessor and Distributed Systems, Focusing on Implementation and

Checkpointing is the act of saving the state of a running program so that it may be reconstructed later in time. It is an important basic functionality in computing systems that paves the way for powerful tools in many elds of computer science. This article provides a comprehensive overview of checkpointing in uniprocessor and parallel processing systems, including deenitions, uses of checkpointing, and implementation details. Also included in this overview is a brief discussion of checkpoint consistency, which is a major concern in parallel processing systems, and a thorough discussion of issues related to the performance of checkpointing. It is intended that the reader of this article should receive a thorough grounding in checkpointing, with enough detail to implement an eecient checkpointer if so desired.
Knowledge Sharing Management Risks in Outsourcing from Various Continents Perspective: A Systematic Literature Review

Offshore software development outsourcing (OSDO) is a famous business strategy adopted by many organizations in developed countries by outsourcing their software development work to low-wages developing countries. Developing software at offshore locations offers many benefits including access to sound and skilled human resource and high quality software development at low cost. However software outsourcing is not a risk free business for both vendor and client organizations. Vendor organizations need to address a number of factors for successful outcomes of the outsourcing relationships. Likewise knowledge sharing management (KSM) plays an important role in OSDO relationships. This research seeks to explore risks in KSM in the context of OSDO relationships from various continent s perspectives. The objective is to identify the factors that can play a negative role in KSM by reviewing the literature in a systematic way. Systematic Literature Review (SLR) is based on a structured protocol, and is therefore, different from ordinary literature review. SLR provides in-depth, more thorough and comparatively unbiased results than ordinary literature review. Our finding reveals a number of critical risks, for various continents North America, Asia and Europe in KSM in the context of offshore software outsourcing relationships. These risks are ‘Geographical barriers’, ‘Project complexity’, ‘Ambiguous nature of knowledge’ and ’Lack of synchronous and asynchronous communication’. KeywordsSystematic Literature Review, Knowledge Sharing Management, Software Development Outsourcing, Client-Vendor Relationships, Various continents, Risks
Tools for light-weight knowledge sharing in open-source software development

Open-source projects are almost by definition developed by virtual teams: “groups of people with a common purpose who carry out interdependent tasks across locations and time, using technology to communicate much more than they use face-to-face meetings” ([4], p346). In such settings, communication and diffusion of information becomes more difficult [10]. As a result, maintaining awareness and coordination of team’s activities becomes a challenge [7] and sharing the expertise with one’s colleagues requires more time and effort. In this paper we present our ongoingwork on using existing open-source processes to provide developers with ways to learn and benefit from the past experiences of others working on the same project. Our aim is to enable lightweight knowledge sharing: without requiring additional system infrastructure or additional work to create those knowledge repositories or disseminate the experiences.
MapReduce for Integer Factorization

Integer factorization is a very hard computational problem. Currently no efficient algorithm for integer factorization is publicly known. However, this is an important problem on which it relies the security of many real world cryptographic systems. I present an implementation of a fast factorization algorithm on MapReduce. MapReduce is a programming model for high performance applications developed originally at Google. The quadratic sieve algorithm is split into the different MapReduce phases and compared against a standard implementation.
Adaptation and Case-Based Reasoning Focusing on Endocrine Therapy Support

So far, Case-Based Reasoning has not become as successful in medicine as in some other application domains. One, probably the main reason is the adaptation problem. In Case-Based Reasoning the adaptation task is still domain dependent und usually requires specific adaptation rules. Furthermore, in medicine adaptation is often more difficult than in other domains, because usually more and complex features have to be considered. We have developed ISOR, a system for endocrine therapy support, especially for hypothyroidism. In this paper, we do not present ISOR in detail, but focus on adaptation. We do not only summarise experiences with adaptation in medicine, but we want to elaborate typical medical adaptation problems and hope to indicate possibilities how to solve them.
CXCR4 over-expression and survival in cancer: A system review and meta-analysis

C-X-C chemokine receptor 4 (CXCR4) is frequently over-expressed in various types of cancer; many agents against CXCR4 are in clinical development currently despite variable data for the prognostic impact of CXCR4 expression. Here eighty-five studies with a total of 11,032 subjects were included to explore the association between CXCR4 and progression-free survival (PFS) or overall survival (OS) in subjects with cancer. Pooled analysis shows that CXCR4 over-expression is significantly associated with poorer PFS (HR 2.04; 95% CI, 1.72-2.42) and OS (HR=1.94; 95% CI, 1.71-2.20) irrespective of cancer types. Subgroup analysis indicates significant association between CXCR4 and shorter PFS in hematological malignancy, breast cancer, colorectal cancer, esophageal cancer, renal cancer, gynecologic cancer, pancreatic cancer and liver cancer; the prognostic effects remained consistent across age, risk of bias, levels of adjustment, median follow-up period, geographical area, detection methods, publication year and size of studies. CXCR4 over-expression predicts unfavorable OS in hematological malignancy, breast cancer, colorectal cancer, esophageal cancer, head and neck cancer, renal cancer, lung cancer, gynecologic cancer, liver cancer, prostate cancer and gallbladder cancer; these effects were independence of age, levels of adjustment, publication year, detection methods and follow-up period. In conclusion, CXCR4 over-expression is associated with poor prognosis in cancer.
Model plasma membrane indicates the inner leaflet is poised to initiate compositional heterogeneities

We investigate a model of an asymmetric bilayer consisting of sphigomyelin, phosphatidylcholine, and cholesterol in the outer leaflet, and phosphatidyl\-ethanolamine, (PE), phosphatidylserine, and cholesterol in the inner leaflet. Composition fluctuations are coupled to membrane fluctuations via the bending energy which depends upon the local spontaneous curvature dominated by the PE in the inner leaflet. This brings about a microemulsion in that leaflet with a characteristic wavelength of 37 nm as shown by the PE-PE structure function. Thus the inner leaflet will respond to an external perturbation most strongly at this length. However the correlation length is approximately 1 nm so that composition variations are not seen in the inner leaflet itself. Depending upon the strength of the coupling between leaflets, the outer leaflet is either a normal fluid or is also a microemulsion. In this model then, the lipids of the plasma membrane would not evince inhomogeneities, but would be primed to create them from the inner leaflet in response to non-lipid perturbations.
Semantic robust parsing for noun extraction from natural language queries

This paper describes how robust parsing techniques can be fruitful applied for building a query generation module which is part of a pipelined NLP architecture aimed at process natural language queries in a restricted domain. We want to show that semantic robustness represents a key issue in those NLP systems where it is more likely to have partial and ill-formed utterances due to various factors (e.g. noisy environments, low quality of speech recognition modules, etc.) and where it is necessary to succeed, even if partially, in extracting some meaningful information.
Self-Authoring Gender Performance: A Narrative Analysis of Gay Undergraduate Men

OF DISSERTATION SELF-AUTHORING GENDER PERFORMANCE: A NARRATIVE ANALYSIS OF GAY UNDERGRADUATE MEN The perspectives of gay men on college and university campuses is informed by a rich gay social history and extensive roots of community politics. The experiences of gay undergraduate men have been illuminated in segmented ways in scholarly literature to date. This narrative inquiry develops and advances those efforts by exploring how gay undergraduate men construct, experience, and make meaning of their gender as a population ascribing to both liberationist and assimilationist viewpoints. Data for this qualitative study were collected at one public, four-year research university in the southeastern United States in the fall 2015 semester using recorded personal interviews with eleven men. Interviews were digitally recorded and transcribed for data analysis. The men included in the study represent a broad range of personal identity backgrounds, including a variety of college majors and years of experience in university study. Selfauthorship and queer theoretical frames were used to analyze participants’ gender interpretations. Findings suggest men do not understand gender in isolation, but in tandem with intersections of familial ethnic and cultural backgrounds, social class status, and involvement on campus. Four major themes of experience that effect self-authorship of gender evolved from narrative analyses: masking, agency, costs, and policing. Implications for higher education professionals, including faculty, staff, and administrators, are discussed. Opportunities for further research in navigating lived experiences of marginalized campus subpopulations are also suggested and explored.
Securing iris and fingerprint templates using fuzzy vault and symmetric algorithm

The important aspect of all verification system is authentication and security. This aspect necessitates the development of a method that ensures user security and privacy. The traditional methods such as tokens and passwords provide security to the users. Uncertainly, the attackers can easily compromise these techniques. In recent years, the combination of biometrics and cryptography techniques has been proved as a efficient way to achieve security. The important feature of using biometric template is that it cannot be exploit by an unauthorized user. Most commonly used biometric features are iris, retina, fingerprint, face, palmprint, hand geometry, voice and so on. Fuzzy vault is the concept which uses the combination of biometrics and cryptographic key generation technique. This fuzzy vault act as a additional layer of security. This paper proposes a biometric verification system investigating the combined usage of multimodal biometric features and fuzzy vault scheme. This approach uses of fingerprint and iris in order to provide higher accuracy rate. Experiments were conducted to investigate the performance of the proposed system in ensuring the user security and privacy.