Miracle-dz/UniFAR-FTUs huggingface dataset:
The role of Psychology in Cricket ROLE OF PHYSIOLOGY IN CRICKET

Despite its long history and global appeal, relatively little is known about the physiological and other requirements of cricket. It has been suggested that the physiological demands of cricket are relatively mild, except in fast bowlers during prolonged bowling spells in warm conditions. However, the physiological demands of cricket may be underestimated because of the intermittent nature of the activity and the generally inadequate understanding of the physiological demands of intermittent activity. Here, we review published studies of the physiology of cricket. We propose that no current model used to analyse the nature of exercise fatigue (i.e. the cardiovascular anaerobic model, the energy supply energy depletion model, the muscle power muscle recruitment model) can adequately explain the fatigue experienced during cricket.
The Role Of Leadership Styles On Staffs Job Satisfaction In Public Organizations

: Job satisfaction is a very important factor among the employees of Public Universities. Job satisfaction is considered an internal principle created by various elements found within a work environment. Due to the influence of various items on job satisfaction, educational organizations should be conscious of implementing the right leadership styles. However, the lack of attention given to this organizational behavior has led to the rise of abnormal reactions among employees. Thus, the current paper focused on the essential role of leadership styles in improving job satisfaction among the employees of Public Universities. Substantial attention should be dedicated to the precise leadership style practiced in an organization. In the same way, specific leadership styles, as external factors, have an important impact on the job satisfaction of employees at Public Universities, because these styles can improve the employees' commitment to the organizations. This initiative involves enhancing satisfaction among employees and finding an effective leadership style, which is one of the main components of improving educational organizations.
The obstacles and prospers of ecotourism behavior development in the visitors. An SLR from the literature reviewing from 2015-2019

In the past decades, tourism's impact on economics, social, culture, and society has increased. The concept of alternative tourism, such as nature-based travel, green travel, responsible travel, soft tourism, cultural tourism, adventure travel, and ecotourism, is growing very excessively as compared to ordinary tourism. The current study aims to determine the research direction on ecotourism behavior in the year 2015 to 2019. The 56 studies are included in the review from the Scopus database and following the PRISMA statement 2015. Classification of literature is divided into four significant categories after reviewing the literature and setting the inclusion and exclusion criteria. The most frequent theories also discussed, and theory of planned behavior used by the many researchers related to the ecotourism behavior. The findings showed that ecotourism behavior development research is focused on environmental protection. The behavioral development process is needed an ecotourism intention creating process. There is need to make efforts in multidisciplinary research.
SMARTASSISTANCE FOR VISUALLY IMPAIRED AND BLIND PEOPLE

: This study proposes the creation of a smart application that will benefit those with visual impairments. Visually handicapped people are at a disadvantage in today's society since they have no knowledge of the environment. The general populace has prejudices about blind people that they believe to be true. The large number of non people believe that blind people are unable to work or live a normal life. The difficulty of traveling from one location to another without the support of others is one of the key challenges. Other difficulties include recognizing people, spotting obstructions, and so forth. Some products on the market can assist them in overcoming some of these obstacles. There are always a bunch of new studies underway with the sole purpose of developing technologies to assist these visually impaired individuals. As a result, with advanced new technologies, it is possible to expand the assistance provided to them. The notion is accomplished using a Mobile application that includes functions such as voice command, image processing, and others. The device is a vocal style device that helps visually impaired people with daily duties.The system combines a variety of accessible technologies into an administrating application that may be used by the sight impaired. The goal is to guide blind or visually impaired people around impediments in their path.
Using Named Entity Recognition to Identify Personification Constructions in an English <> Spanish Intermodal Corpus of the EP Committee on Petitions

This paper presents a PhD project which tests the effectiveness of NLP-based methods to extract and analyze large amounts of data from translation and interpreting corpora. More specifically, Named Entity Recognition (NER) applications are used in combination with an intermodal corpus of EU texts (that is, a multilingual corpus which contain all possible variations of mediated and non-mediated discourse) in order to identify personification constructions, especially those related to organizations. From the point of view of Construction Grammar (CxG), personifications are argument-structure constructions loaded with relational meaning, which makes them valuable data to feed Machine Translation (MT) and Machine Interpreting (MI) systems or related electronic tools used by translation and interpreting professionals in the briefing preparation phase. In the future, we expect that the compiled intermodal corpus (named PETIMOD) and the NLP techniques can be used to study further types of constructions in institutional discourse, which would be an important contribution not only to corpus-based translation and interpreting studies, but also to CxG itself.
A Study On Green Banking Practices In Banking Industry: Sri Lankan Context

The purpose of this investigation is to determine the multidisciplinary factors that impact on green banking practices in the banking industry in Sri Lanka. The study is carried out by establishing relevant variables to measure the economic factors, management support, customer pressure, competitor pressure, environmental concern and its extend of impact on practices of green banking. Data were collected from 300 staff of selected bank branches using a structured questionnaire to carry out the study. Five variables are considered for the research framework of this study which is namely, economic factors, competitor pressure, customer pressure, management support and environmental concerns which are used to measure the multidisciplinary factors and its impacts on green banking practices in Sri Lankan banking industry. Findings of the research show that economic factors, competitor pressure, management support and environmental concerns have high impacts while a moderate level of influence was noted for customer pressure on the adoption of green banking practices. Hypothesis testing shows a positive relationship between economic factors, management support, competitor pressure and environmental concerns while customer pressure did not show a positive relationship against green banking practices in Sri Lankan banks
Factors Affect Employees Loyalty In Thuy Van Industrial Zone, Phu Tho Province

Employee loyalty, employees' attitudes, and behaviors play a vital role in the quality of work, at the same time, employees are primarily responsible for guaranteeing competitive advantage and sustainable development for enterprises. To collect data, the research questionnaires were sent to domestic companies in Thuy Van industrial zone. Base on the collected data and by using the method of evaluating the reliability of the scale and the factor analysis. The research analyzed and identified the factors affecting employee loyalty in the companies in Thuy Van industry zone including 4 factors: salary, promotion, relationship, and welfare. In which, the salary was the strongest factor affecting employee loyalty, next was the relationship, advancement opportunities and finally welfare. The research results show that these factors have a positive impact on employee loyalty. Thence, to improve employee loyalty and maintain employees in the company, the research proposed recommendations to so increase employee satisfaction with the above factors will increase their loyalty to the company. Rewards; Promotion
Major Determinants of the Type 2 Diabetic Patients : Carotid Age and Intima-Media Thic Body Mass Index kness in

The present study has been designed to quantify and compare right and left carotid Intima-media thicknesses (IMT) in type 2 diabetics and healthy controls. It was also intended to investigate the effects of various risk factors on the carotid IMT in these subjects. A total of 122 subjects; 70 patients with type 2 diabetes and 52 non-diabetic subjects as controls, were recruited for the study. Right and left common carotid artery stiffness indices were assessed with ultrasonography in both groups. Age, body mass index (BMI), duration of diabetes, cigarette smoking, lipid profile including lipoprotein a, Chlamydia pneumonia seropositivity, glycemic indices, fasting insulin levels, serum fibrinogen levels and presence of hypertension, coronary artery disease, degenerative complications of diabetes mellitus were all assessed in order to define their role as determinants of carotid artery IMT. The difference between the groups regarding mean carotid IMT was statistically significant for the left carotid arteries (p=0.028) and borderline significance was found for the right carotid arteries (p=0.055). Age has a very strong association with carotid IMT in diabetic patients (p<0.0001) with univariate analysis. According to the results of multivariate analysis, age and BMI were found to be the most important independent determinants of carotid IMT for both sides. When age was excluded from the model, BMI and coronary artery disease were found to have strong association with IMT on the right (p=0.0036 and 0.0249) and BMI was the only significant determinant for the left side (p=0.0025). This study shows that carotid IMT is greater in diabetic subjects compared with healthy controls. For the diabetic subjects, age, BMI and presence of coronary heart disease have a strong influence on the atherosclerotic process of the carotid arteries.
REPUTATIONAL BIDDING (cid:3)

We consider auctions where bidders care about the reputational e⁄ects of their bidding and argue that the amount of information disclosed at the end of the auction will in(cid:135)uence bidding. We focus on bid disclosure rules that capture all of the realistic cases. We show that bidders distort their bidding in a way that conforms to stylized facts about takeovers/licence auctions. We rank the disclosure rules in terms of their expected revenues and (cid:133)nd that, under certain conditions, full disclosure will not be optimal. First-price and second-price auctions with price disclosure are not revenue equivalent and we rank them.
IMPACT OF RISKS ON IJV PERFORMANCE IN PAKISTAN: MEDIATING ROLE OF EMC

The ongoing growth of the infrastructure development and construction industry in Pakistan in recent years has attracted foreign investors and firms to undertake Joint Ventures (JVs) in this emerging market, especially in the context of CPEC. The IJV paradigm is however quite complex and it is a general perception that usually the performance of JVs remains below the desired expectations. International construction businesses usually embody grave social, economic, and political implications in developing countries like Pakistan, where the problems of IJVs become more accentuated due to a host of other external as well as internal factors. Besides being an emerging trend, very few studies are available with regards to IJVs performance in Pakistan. This research is hence aimed at (1) Exploring the impact of Environment, Project and Partner's Risks on IJVs performance (2) Develop a matrix for explaining the impact of risk factors and mediating role of Effective Management Control in IJV paradigm (3) To test the postulated hypothesis through quantitative methods. For this, a questionnaire-based survey has been conducted in which the feedback and perceptions from local and foreign firms and professionals have been recorded and analyzed using SPSS software. The study finds out that there are negative effects of Risks on IJV performance however, with Effective Management Control, the impact of risks are mitigated. A path represents the relationship of ER with EMC which is negative and significant. b path shows the relationship of EMC with IJV which is Positive and significant. c path shows the relation between ER and IJV without mediators and it is also Negative and significant.c' path shows the mediating effect of EMC between ER and IJV. The nonsignificant value of the coefficient shows that mediation exists. Control on IJV performance and how much it can mitigate the impact of risk factors on key performance elements of cost, quality, time, and safety
Biocompatible and Electroconductive Nanocomposite Scaffolds with Improved Piezoelectric Response for Bone Tissue Engineering

Electroactive scaffolds are relatively new tools in tissue engineering that open new avenue in repairing damaged soft and hard tissues. These scaffolds can induce electrical signaling while providing an ECM-like microenvironment. However, low biocompatibility and lack of biodegradability of piezoelectric and conductive polymers limits their clinical translation. In the current study, we have developed highly biocompatible, electroconductive nanofibrous scaffolds based on poly-L-lactic acid/polyaniline/carbon nanotube (PLLA/polyaniline/CNT). Physical and chemical properties of fabricated scaffolds were tested using various techniques. Biological characteristics of the scaffolds are also examined to check cellular attachment as well as differentiation of cultured (progenitor) cells. Scaffolds were optimized to direct osteogenic differentiation of mesenchymal stem cells. Such scaffolds can offer new strategies for the regeneration of damaged/lost bone.
Research proposal: integration of EEG and oculometry methods for external cognitive load assessment in graphical user interfaces

Summary. Within the framework of the master's degree project in innovation and design, a research proposal is proposed that presents the integration of objective techniques to evaluate the cognitive load generated by the graphical user interface in an augmented reality environment, based on an experimental design unifactorial, cross-sectional, retrospective, at an explanatory level. This proposal is relevant as it will provide empirical evidence for the graphical user interface design process. It is expected, at the end of this project, to have a procedure manual for the evaluation of graphical user interfaces based on the level of external cognitive load.
Dynamic response of railway tracks in tunnel

Periodically supported beams subjected to a moving load are often used for modelling the railway dynamics and analytical solutions have been developed for such modelling [3, 4]. More complex models can be constructed by including supports with damping or non-linear stiffness elements. This study deals with the dynamical modelling of non-ballasted railways, especially railways in tunnels. The model is developed as a dynamical system of multi-degree of freedom. Under the periodic assumption on the reaction force of the supports, the equation of motion for a periodically supported beam subjected to a moving load has been written. Then the Fourier transform has been used to solve this equation in case of damped supports. Analytical solutions have been established for the motion of the wheel and rail and also for the reaction force of the supports. The analytical solutions have been compared with in situ experimental measurements. The comparison shows that the theoretical results agree well with the measured results if damped supports are included in the model.
The Engineering of Software: A Technical Guide for the Individual

From the Publisher: In this book, the authors provide an introduction to the essential activities involved in a software engineering project. Readers will come to understand technical skills in requirements/specification, analysis, design/implementation, and testing. These methods are treated fully, with a multitude of examples for readers to emulate. The book is divided into four partsSoftware and Engineering; Requirements and Specification; Design and Coding; and Software Testingto discuss the phases (besides coding) of the software lifecycle. It covers modern topics like Capability Maturity Model, Java, Automated and Regression testing, and Safety for mission critical projects. This book is designed to hone the skills of the software engineer by reinforcing the methods and techniques used throughout the software lifecycle. It is also suitable for "crossover" engineers trained in other technical field who now find themselves working with software.
Optimized Control Strategy Based on Dynamic Redundancy for Modular Multilevel Converter

In order to improve the utilization ratio of sub-modules and reduce the capacitor voltage stress on the sub-modules for modular multilevel converter, we proposed a control strategy of modular with redundant sub-modules based on dynamic redundancy. Considering the synthetical effects of the AC and DC system, we proposed two indexes, namely, the dynamic redundancy and the utilization ratio of the sub-modules. In this strategy, under the given working conditions, the reference value of the capacitor voltage is derived according to the maximum output voltage of each converter arm and the adjustable safety margin. This method can improve the flexibility of the converter, and enhance the fault ride-through capability of the system. Moreover, we built a model of two-terminal MMC-HVDC system in PSCAD/EMTDC, and analyzed several operation modes of the system. Simulation results show that, by using the proposed strategy, the redundancy of the converter is adjustable dynamically and the redundancy protection under fault conditions is valid without obvious fluctuation of any index. Hence, the proposed strategy is valid and feasible.
Research on target detection method based on CNN

Traditional target detection methods have poor tracking effect for targets with excessive displacement or occlusion between adjacent frames, and it is difficult to deal with high-speed moving targets. In view of the low detection rate of the current system in detecting long-distance weak and small targets, false targets and occlusion in the air, the working mode of convolutional neural network (CNN) and its advantages in target detection are analyzed, and a target detection method based on CNN is proposed, which can ensure the target detection accuracy and meet the real-time requirements of combat scenes, Finally, compared with other algorithms, the proposed method achieves the best results on four types of data. While the center error is low, it has high tracking success rate and low time complexity, which meets the requirements of high precision and real-time of the system.
Missense variants in the voltage sensing and pore domain of KCNH5 cause neurodevelopmental phenotypes including epilepsy

Objective: KCNH5 encodes the voltage-gated potassium channel EAG2/Kv10.2. We aimed to delineate the neurodevelopmental and epilepsy phenotypic spectrum associated with de novo KCNH5 variants. Methods: We screened 893 individuals with developmental and epileptic encephalopathies (DEEs) for KCNH5 variants using targeted or exome sequencing. Additional individuals with KCNH5 variants were identified through an international collaboration. Clinical history, EEG, and imaging data were analyzed; seizure types and epilepsy syndromes were classified. We included three previously published individuals including additional phenotypic details. Results: We report a cohort of 17 patients, including nine with a recurrent de novo missense variant p.Arg327His, four with a recurrent missense variant p.Arg333His, and four additional novel missense variants. All variants were located in or near the functionally critical voltage-sensing or pore domains, absent in the general population, and classified as pathogenic or likely pathogenic using American College of Medical Genetics and Genomics (ACMG) criteria. All individuals presented with epilepsy with a median seizure onset at six months. They had a wide range of seizure types, including focal and generalized seizures. Cognitive outcomes ranged from normal intellect to profound impairment. Individuals with the recurrent p.Arg333His variant had a self-limited drug-responsive focal or generalised epilepsy and normal intellect, while the recurrent p.Arg327His variant was associated with infantile-onset DEE. Two individuals with variants in the pore-domain were more severely affected, with neonatal-onset DEE, profound disability, and childhood death. Conclusions: We report the first cohort of 17 individuals with pathogenic or likely pathogenic missense variants in the voltage sensing and pore domains of Kv10.2, including 14 previously unreported individuals. We present evidence for a putative emerging genotype-phenotype correlation with a spectrum of epilepsy and cognitive outcomes. Overall, we expand the role of EAG proteins in human disease and establish KCNH5 as implicated in a spectrum of neurodevelopmental disorders (NDDs) and epilepsy.
Classifying sex with MRI

Sex differences in the size of specific brain structures have been extensively studied but careful and reproducible statistical hypothesis testing to identify them produced overall small effect sizes and differences brains of males and females. On the other hand, multivariate statistical or machine learning methods that analyse MR images of the whole brain have reported respectable accuracies for the task of distinguishing males from females. However, most existing studies lacked a careful control for brain volume differences between sexes and, if done, their accuracy often declined to 70% or below. This raises questions on the relevance of accuracies achieved without careful control of overall volume. Also the potential applicability is uncertain insofar as the robustness of methods had rarely been tested or they suffered from poor accuracy when applied on a different cohort. We examined how accurately sex can be classified with multivariate methods from gray matter properties of the human brain when correcting for overall brain volume. We also tested, how robust machine learning classifiers are when predicting cross-cohort, i.e. when they are used on a different cohort than they were trained on. Further, we studied how their accuracy depends on the size of the training set. MRI data was used from two population based data sets of 3308 mostly older adults from the Study of Health in Pomerania (SHIP) and 1113 mostly younger adults from the Human Connectome Project (HCP), respectively. Our new open source program BraiNN is based on a 3D convolutional neural network and was compared with a simple logistic regression approach. When using the gold standard method of matching male and female participants for total intracranial volume, BraiNN achieved 86% accuracy when predicting sex on the same (SHIP) cohort and 73% accuracy when cross-predicting on the HCP cohort. Logistic regression achieved an accuracy >90% on the SHIP cohort, but required a large number of training examples to perform well and did not generalize well across cohorts. On the other hand, BraiNN lost less than 2% accuracy when the cohort size was reduced from 3308 to 1274.