Miracle-dz/UniFAR-FTUs huggingface dataset:
Water Polo Shooting Performance: Differences Between World Championship Winning, Drawing and Losing Teams

Abstract Shooting performance of globally ranked winning, drawing and losing water polo teams was compared, and technical and tactical success indicators were identified. In total, 886 shots from a world championship final round were videotaped and teams were clustered for a performance evaluation (considering differences between game outcomes). Shooting speeds were assessed by a radar, with higher values observed at further distances from the goal than in the central area close to the goal (p ≤ 0.00, ES: 2.54). Shots tended to be more frequent from the central corridor, with ≤50% and >75% relative shot efficacy attained from field areas 3 and 6; winning teams obtained better results. Furthermore, winners had greater success than losers when shooting from field area 2 (p ≤ 0.04, ES: 1.13) and towards the goal zone 2 (p < 0.03, ES: 1.10). They also attained better efficacy regarding shots towards goal zone 1, had better efficacy on the part of centre-forwards (p ≤ 0.05, ES: 0.85-1.27), and were more effective regarding shots without a frontal defensive block. In addition, contingency analysis highlighted shots performed from field area 6, without a defensive block, toward the bottom left goal corner, and through man-up play as success indicators (all for p ≤ 0.005). We concluded that world-level winning teams homogeneously distributed their shot opportunities at the second offensive line with balanced efficacy, creating variability and uncertainty in their opponents’ defensive action. Elite level players must be capable of interpreting game situations with intelligence and proper decision making. This information may be useful for improving teams performance.
Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries

Abstract The paper examines electoral manifestos of social democratic parties in Visegrad countries through a computer-driven method of content analysis. The analysis focuses on a sentence sentiment (how parties talk about their priorities) and a keyword examination (what parties mostly talk about). Such analysis is not widespread in the academic literature related to Visegrad countries, where a human-based approach to content analysis of electoral manifestos prevails. The paper, however, does not aim to nullify the findings of the previous research, but aims to improve the understanding of the content of manifestos through a different research method. The paper’s findings have confirmed the pro-European support of social democratic parties as well as the focus on predominantly socio-economic issues in manifestos. Additionally, the paper explores the effect of incumbency on the manifesto’s content. The incumbency seems to have an impact on the manifesto sentiment, but not on keywords.
An Exploratory Investigation of Instructors Acceptance of e-learning

The use of e-learning and information technologies in teaching have changed the instruction approaches. There are several factors that need to be considered while developing or implementing E-learning environment. This paper is intended to identify and measure e-learning critical factors as perceived by instructors. In line with the literature, five factors were identified and measured, namely instructor self efficacy, student perceived benefits, instructor attitude towards information technologies used in e-e-learning, instructor attitude towards the technical support of e-learning tools, and e-learning acceptance and usage by instructors. A sample of 606 instructors was used to validate the proposed e-learning factors. The results revealed that 40% of the instructors perceived technical support as the most critical factor in e-learning success. The instructor self efficacy was viewed as the most critical factor by 30% of the participants, while 31% viewed it as the third most critical factor. The items used in measuring each factor were validated and showed acceptable reliability and discriminant measures.
Early Detection of Mild Cognitive Impairment (MCI) in an At-Home Setting

Emerging digital tools have the potential to enable a new generation of qualitative and quantitative assessment of cognitive performance. Moreover, the ubiquity of consumer electronics, such as smartphones and tablets, can be harnessed to support large-scale self-assessed cognitive screening with benefit to healthcare systems and consumers. A wide variety of apps, wearables, and new digital technologies are either available or in development for the detection of mild cognitive impairment (MCI), a risk factor for dementia. Two categories of novel methodologies may be considered: passive technologies (which monitor a user’ behavior without active user input) and interactive assessments (which require active user input). Such examinations can be self-administered, supervised by a caregiver, or conducted by an informant at home or outside of a clinical setting. These direct-to-consumer tools have the potential to sidestep barriers associated with cognitive evaluation in primary care, thus improving access to cognitive assessments. Although direct-to-consumer cognitive assessment is associated with its own barriers, including test validation, user experience, and technological concerns, it is conceivable that these issues can be addressed so that a large-scale, selfassessed cognitive evaluation that would represent an initial cognitive screen may be feasible in the future.
A Walk on the Fractal Universe

A fractal is a shape that, when looked at a small part of it, has a similar, but not necessarily identical, appearance to the full shape. Hence, enlarging a smaller portion of the shape will provide iteration in the larger image. Therefore, the use of fractals and fractal-like forms to describe or model the universe has had a long and varied history, which begins long before the word fractal was actually coined. In physical cosmology, fractal cosmology is a set of minority cosmological theories which state that the distribution of matter in the Universe, or the structure of the universe itself, is a fractal across a wide range of scales. More generally, it relates to the usage or appearance of fractals in the study of the universe and matter. A central issue in this field is the fractal dimension of the universe or of matter distribution within it, when measured at very large or very small scales. Hence, since the introduction of mathematical rigor to the subject of fractals, by Mandelbrot and others, there have been numerous cosmological theories and analyses of astronomical observations which suggest that the universe exhibits fractality or is by nature fractal. In recent years, the term fractal cosmology has come into usage, as a description for those theories and methods of analysis whereby a fractal nature of the cosmos is shown. -------------------------------------------------------------------------------------------------------------------------------------Date of Submission:17-10-2019 Date of Acceptance: 02-11-2019 -------------------------------------------------------------------------------------------------------------------------------------
VALID 2018

– Concept and Design of systems with sheer complexity at various abstraction levels is becoming tedious and time consuming process. To comply with the expected requirements, subsequent validation and verification becomes even more time consuming and expensive. When it comes to platform level validation and debug, there are various fronts that are to be looked at with great depth. In case of laptops/desktops the system stack includes hardware, silicon, firmware, bios, operating system, various drivers and applications. In complex systems, finding root cause of issues caught at platform validation is challenging and increases debug throughput. In this paper, we will introduce a methodology for validation and debug that could be applied across similar systems. This methodology is bound to shorten the life span of test plan creation, early identification, debug and root cause of issues. This will result in cost saving and shorter time to market.
Effect of Saccharomyces boulardii Extract on SAP2 Gene Expression and Antifungal Susceptibility of Candida albicans

Background: Saccharomyces boulardii, a non-pathogenic yeast, is effective on prevention and treatment of intestinal infections caused by bacterial pathogens and also affects the virulence factors of Candida albicans. SAP2, an important potential virulence factor of C. albicans is a suitable target for a new research. Objectives: The current study aimed at investigating the effect of S. boulardii extract on the expression of SAP2 gene and antifungal susceptibility of C. albicans isolates. Methods: The current study investigated SAP2 relative expression and antifungal susceptibility patterns of C. albicans species isolated from oral lesions of HIV patients and the standard strain ATCC 10231 after exposure to S. boulardii extract. Susceptibility of C. albicans isolates to antifungal drugs was assessed according to those proposed in the clinical and laboratory standards institute (CLSI) M44-A2 reference method. The real-time polymerase chain reaction (PCR) was performed to evaluate SAP2 gene expression. Results: Saccharomyces boulardii extract 0.48 mg/mL changed the antifungal susceptibility pattern of C. albicans isolates to ketoconazole and itraconazole. Before exposure, 53.3% of the isolates were sensitive to ketoconazole, while it increased to 73.3% after exposure to S. boulardii extract. The sensitivity to itraconazole increased from 6.7% to 26.7% after exposure to S. boulardii extract. Although susceptibility of C. albicans isolates to other antibiotics (fluconazole, clotrimazole, nystatin, and amphotericin-B) did not change after exposure to S. boulardii extract, there was a significant difference in the average inhibitory zones of the isolates after exposure to S. boulardii extract. Conclusions: The level of SAP2 expression significantly reduced in the isolates treated with 0.48 mg/mL S. boulardii extract. Comparison of SAP2 gene expression between ketoconazole-resistant and -intermediate isolates, and the ketoconazole-sensitive ones demonstrated the relative higher gene expression in resistant and intermediate isolates. Saccharomyces boulardii extract can be considered as a suitable probiotic candidate to prevent and treat C. albicans infections.
AFIN 2018

— Future Internet can require bandwidth guaranteed services, thus the network resources need to be reserved before a Transmission Control Protocol (TCP) session starts transmitting data. The paper proposes a new TCP congestion control algorithm to assure the information rate for a flow. It is an extension to, yet different from the current TCP standards. The congestion window size changes at the sender side due to events, such as OAM (Operations, Administration and Management) congestion alarm, duplicate ACKs, and timeout.
Endoscopic Video Manifolds for Scene Recognition in Targeted Optical Biopsy

Recent introduction of probe-based confocal laser endomicroscopy (pCLE) enabled real-time and in-vivo visualisation of biological tissue on a microscopic level. This new technique, referred to as optical biopsy, involves the new challenge of re-targeting previous biopsy sites during surveillance examinations. In this thesis, a novel scene recognition method is presented to support the re-targeting of optical biopsy sites in surveillance GI-endoscopies. Drawing on the mathematical framework of manifold learning, a new representation for endoscopic videos is introduced. Relying on the tools of spectral theory and their application in manifold learning, the challenge of scene recognition is approached from a novel perspective. Experimental evaluation of the methods on clinical datasets demonstrates the feasibility of the proposed methods as a promising step for assisting the endoscopic expert in re-targeting optical biopsy sites.
Knowledge Management and Sustained Competitive Advantage: A Resource-Based Analysis

The resource-based view of the firm (RBV) is used to study the role of organizational knowledge in establishing sustained competitive advantage. A framework for studying the three dimensions knowledge capabilities, knowledge (K)-infrastructures, knowledge (K)processes, and knowledge (K)-skills, is introduced. This framework is used to analyze the case of First American Corporation. The analysis shows that organizational knowledge capabilities really grants a sustained competitive advantage if the managers develop the managerial skills and a particular leadership on the matter.
Developing Buddy: Towards Greater Dependability and Maintainability in Meta-Search

Most meta-search engines use web scraping as an ad-hoc method to extract results from the output display of various search engine sources. However, a search engine may cease operation, merge with other engines or its display format may change. A dependable meta-search engine must, thus, adapt to display changes in search engine sources and be maintainable even by people with low programming skills. This paper describes the design and development of Buddy, a meta-search engine that is able to help web users search more effectively into multiple search engine sources. It allows integration of a new search source with minimum complexity and programming knowledge, leading to greater dependability and maintain-ability. Search results are aggregated from multiple sources to remove duplicate and sponsored links and to give the most relevant results each time. Buddy also allows query refinement and saving of search results locally in user computers or remotely in emails.
REM WORKING PAPER SERIES The Impact of Foreign Aid on Aggregate Welfare Measures: A Panel Data Analysis

Does foreign aid enhance aggregate human welfare? This paper attempts to answer this question by using a panel of twenty-eight countries, covering the period from 1990 to 2014. It explores intra-country variation by splitting the sample into low-income and middle-income countries. Combined with the fixed effects estimator, these approaches sought to control for the heterogeneity of the effects of aid on welfare measures. Perhaps surprisingly, there was no evidence that foreign aid contributes to the reduction of infant mortality or increase of human development index.
INNOV 2014

—Mobile Ad Hoc Networks (MANET) are continuously self-organizing wireless networks with no fixed infrastructure, where network communication is established without a centralized administration. Security is an important issue for mobile ad hoc networks, due to the vulnerable nature of MANETs. This paper describes the effects of Pulse Jammer attack, Misbehavior Node attack and Byzantine attacks on the network performance under different traffic loads using Geographic Routing Protocol (GRP), Proactive Routing Protocol such as Optimized Link State Routing (OLSR) Protocol and Reactive Routing Protocols such as Ad Hoc On Demand Distance Vector (AODV) Routing Protocol and Dynamic Source Routing (DSR) Protocol. The impact of security attacks on MANET performance is evaluated by investigating which attack is more harmful to the network. IEEE 802.11b and 802.11g standards are compared with respect to the Pulse Jammer attack, Misbehavior Node attack and Byzantine attack for AODV Routing Protocol. Simulation results using OPNET simulator show that the efficient utilization of the network reduces considerably in the presence of the mentioned attacks.
CIO’s perspectives of Critical Issues in Erp upgrade

InTrODuCTIOn Enterprise systems have spread rapidly among organizations. According to AMR research (2005), ERP market size was $47.88 Billion in 2004. Although ERP systems offer a great deal, implementation success is far from assured. Statistics show that more than 70% of ERP implementations fail to achieve their corporate goals (Standish Group, 2004) and the number of horror stories about failed or out-of-control projects is growing (Olson, 2004). To deeply understand ERP systems, many researchers are working on this topic and hundreds of ERP research was published in last eight years. However, recent review (Botta-Genoulaz et al., 2005) suggests that most existing ERP research focuses on selection and implementation, not on ERP’s post-implementation impacts. Selection and implementation are critical areas, and numerous valuable insights have been studied by many researchers (Quiescenti, et al., 2006; and Wang, et al., 2006). According to Staehr et al. (2002), the ultimate impacts of ERP on the organization – once the system has been implemented and has been “shaken down” – are not as thoroughly researched. Therefore, understanding post-implementation of ERP will help organizations succeed longer after the ERP implementation. ERP upgrade is one of the major activities in the post-implementation stage of ERP implementation (Nah et al. 2001). Every three years, a major ERP upgrade and several small upgrades are typically needed to keep the system running smoothly. Organizations will spend a significant amount of money on each ERP upgrade project. Without comprehensive understanding of ERP upgrade concepts in the organizational environment may lead to terrible nightmares, and even result in irretrievable disaster. Therefore, the aim of this research focuses on what factors are associated with ERP upgrade success. There are several reasons why this study is important. First, each ERP upgrade project costs a significant amount of money.
Leadership and Organizational Citizenship Behavior in E-Collaborative Teams

INTRODUCTION The rapid evolution of networked organizations has led to a rise in global and virtual teams. An organization’s success is highly dependent on the use of such teams in projects focused on new product development, application software development, supply chain integration, and many other activities. Further, globalizing the innovation process using virtual resources has become an important way to access diverse sets of knowledge and has become an imperative for companies seeking to succeed in a global market (Santos, Doz & Williamson, 2004). Advances in communication technology have reshaped the manner and frequency of daily interactions between coworkers and customers. Telephones, videoconferencing, e-mail, and groupware have made it possible for people to collaborate without meeting face-to face (FTF) (Zaccaro & Bader, 2002).
ICCGI 2018

— This paper discusses a pilot study on conceptualization and validation of Information Security Culture (ISC) as a multidimensional second-order formative construct. The concept was developed in our previous works, and is based on widely accepted concepts of Organizational Culture and ISC. The model is validated using samples from employees of one Malaysia Public University. The Partial Least Squares Approach to Structural Equation Modeling (PLS-SEM) using Smart-PLS software was used to model and analyse the data. The ISC construct was treated as reflective-formative second-order construct and analysed using the latest approach in PLS-SEM. The findings empirically support the conceptualization and validation of ISC as a reflective-formative second-order construct with all seven dimensions being significant in contributing to the underlying concept of ISC. The study contributes to the ISC literature by providing new insights on the conceptualization, operationalization and validation of ISC the concept based on widely accepted concepts and approaches.
A Framework for Context-Aware Question Answering System of the Math Forum Digital Library

Most existing question answering systems do not always provide satisfying answers to questioners. One way to improve this situation is to incorporate contextual information into answering systems. We present a framework for a multi-dimensional (MD) Con text-aware Q uestion A nswering S ystem ( ConQAS ) for the Math Forum digital library. Our MD context model uses the following four context dimensions: the user’s navigation path, the domain specific ontology term representing the question, the question type, and the user level. The model would provide more accurate answers by using the contextual information. The MD context-aware component also reuses the questions and answers from the archives.
Forged Multinational Currency Identification and Detection System using Deep Learning Algorithm

Now a days as many counterfeit banknotes are manufactured and circulated in global market, which results in significant damage and harm to society. Recognizing the currency's originality is a very difficult task to general person. Because of advancement in generating highly accurate fake currency. There are several techniques available, such as automatic sorting of banknotes in payment facilities, automated payment machines or sales machines, which consists of several tasks such as identification of banknote type, classification of recirculation fitness and detection of fake banknotes. Banknote identification is the most important approach, based on an image processing system. There are many techniques used in the classification of banknotes by different countries that has been conducted experiments on separate image data sets of each country. Deep learning is a machine learning technique which analyzes & learns the features of the original note. Using the neural networks, the most important aspect is to find more essential features. In the age of big data, in which vast amounts of data must be processed for any application in the real world, the superior techniques are deep learning. In this study, banknotes from various countries are examined by extracting their minute features in carefully and analyzing them using deep learning. Proposed system recommended a Convolutional Neural Network algorithm to detect Forged banknote using dataset of multiple country currency. This approach is chosen to achieve high accuracy with good performance with respect to loss and accuracy in training and validation in terms of huge dataset. So it helps individuals to avoid personal economic damage caused by counterfeiters.
Conceptual Design for Personalized Situation-Aware Information Seeking and Retrieval Services in Data Intensive Domains

Personalized information seeking and retrieval is regarded as the solution to the problem of information overload. Personalization algorithms and techniques are maturing, but their centralized implementation solutions are becoming less efficient for dealing with ever changing user information needs in data intensive, dynamic and distributed environments. In this paper, we present a conceptual design for personalized, situation-aware information seeking and retrieval services, which offers a new way of thinking about the retrieval of personalized information for time critical applications.
Does A Correlation Exist Between Fluid Intelligence And Creativity?

The aim of the study was to investigate the associations between fluid intelligence and creativity among young adults. The sample consisted of 26 university students who were recruited through convenience sampling method. The Raven Standard Progressive Matrices (RSPM) 9 item-form and a divergent thinking test were used to measure fluent intelligence and creativity, respectively. In order to examine the associations between creativity and fluent intelligence correlational analysis was applied. The Pearson’s correlation coefficient revealed that there was no significant relationship between the tests of divergent thinking and RSPM total score. On the other hand, the results showed a significant positive correlation between the RSPM visuospatial factor and both fluency (r=.47, p<.01) and flexibility (r=.41, p<.01) dimensions of the divergent thinking test. As a result, we suggest that certain basic processes regarding fluid intelligence (e.g. visual spatial reasoning) and creativity operate through common and similar mechanisms. Future studies could investigate the association between these constructs by using neuro-imagining method and focus on how these skills can be integrated into real life situations.