Reviewerly/exHarmony huggingface dataset:
Psychologo-pedagodical basics for ensuring international students’ successful studying results

The paper deals with the main problems of international students’ study at higher educational institutions and the necessary university services, for example, propaedeutic training and foreign language courses that help foreigners to study successfully in an unfamiliar learning environment. The interpretation of psychological adaptation and academic adaptation is given based on the analysis of the issue source. The work explores specifics of adaptation and favorable conditions for international students in higher education, as well as identifies problems with the adaptation of foreigners in university education. Recommendations for psychological support of foreigners by advisors are given. The university services of the international students’ advisors and other university staff are analyzed concerning assistance on academic adaptation to the different educational system of the country and university requirements to studying. It is indicated that knowledge of the basics of psychology, features of personality psychotypes, and human adaptive abilities is very important for advisors to help students adapt to the academic requirements of a particular educational system. Advisors should act as a mediator to facilitate the learning process of students, taking into account individual worldviews and intellectual development, for example, while developing a personal curriculum and teaching time management. The work also highlights three main forms of counseling by their advisors as seminars, individual assistance or group work. Various student centers and university campus organizations are listed that help foreigners study and live in an unfamiliar academic environment. Keywords: psychological problems of adaptation, pedagogical basics, advisors, international student, university.
Blockchain Technology Overview: A Novel Approach

The most important property or feature of Blockchain is that once data is recorded inside a Blockchain, it becomes extremely difficult or impossible to change it. The Blockchain architecture is not so trivial and many have written good articles, tutorials including several videos. Blockchain has many variations depending on how they are configured. The information stored on the blocks and activities performed by various individuals on the networks of Blockchain can be controlled with these variations. the world has found applications of Blockchain technology in several industries, where the trust without the involvement of a centralized authority is desired. So welcome to the world of Blockchain.
CONTENTS, LETTERS FROM THE PRESIDENT, TREASURER, SECRETARY AND EDITOR'S INTRODUCTION

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Renee Clary, David Spanagel, Michael S. Smith, John Diemer; CONTENTS, LETTERS FROM THE PRESIDENT, TREASURER, SECRETARY AND EDITOR'S INTRODUCTION. Earth Sciences History 1 July 2021; 40 (2): i–iv. doi: https://doi.org/10.17704/1944-6187-40.2.i Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest Search
Prevalência e fatores associados aos sintomas depressivos em idosos de comunidade rural do Nordeste brasileiro

ABSTRACT Depression is the most frequent mood disorder in the elderly and causes loss of quality of life through biological, psychological and social changes. Thus, the objectives of this study are to identify the prevalence of depressive symptoms and their associated factors in elderly in the rural community of Pinheiro - MA. A cross - sectional study was carried out with 141 elderly individuals, aged 60 to 94 years, belonging to the UBS Nicolau Amate range, in the community of Pacas, Pinheiro - MA, from December 2018 to April 2019. They were used as research the Mini-Mental State (MMSE), for cognitive evaluation; the Geriatric Depression Scale reduced version (GDS-15) to track depressive symptoms; and the individual records of basic care in order to obtain sociodemographic factors. Data were exported to the Stata 14.0 program, and statistical analysis was performed to detect the association between depressive symptoms and the factors: sex, age, schooling, marital status and chronic diseases (Systemic Arterial Hypertension, Diabetes Mellitus). The prevalence of depressive symptoms of 25.5% in the study population was identified. The variables submitted to the analysis that were associated with the outcome up to a significance level of 5% (p-value 76 years, situation marital, with predominance of depressive symptoms among the widowers, and presence of chronic diseases. It is concluded that the high prevalence of depressive symptoms in the elderly found in this rural community of northeast Brazil warns of the need for greater investments in public health policies that creates early interventions in order to identify and better address this health problem in the elderly population.
Eigth International Workshop on Artificial Intelligence and Requirements Engineering (AIRE’21)

Welcome to the Eigth International Workshop on Artificial Intelligence and Requirements Engineering (AIRE’21). The purpose of this workshop is to explore synergies between Artificial Intelligence (AI) and Requirements Engineering (RE). AIRE aims to strengthen the links in the community, including those between industry and academia. As such, we welcome submissions in the intersection between RE and AI. An important goal is to inspire a new and broad community for interdisciplinary discussions concerning novel research directions for Requirements Engineering and Artificial Intelligence. The edition of the workshop in 2021 received 18 submissions, which were independently reviewed by at least three program committee members. In the end, 12 long papers were accepted. All the conflicts of interest were treated seriously and independently. The high quality of submissions are a sign of a healthy research community and the selected papers will lead to a stimulating program, which also includes technical presentations and the Panel. We hope that you enjoy the AIRE’21 workshop and its proceedings. We consider that in the days when AI is gaining prominence in our daily lives, the RE community cannot neglect the benefit that AI techniques can deliver to the practice of requirements engineering. We look forward to seeing you all at this workshop and the future editions. We are very grateful to the Program Committee members and authors of the submissions for their hard work and dedication in putting together this program. We would like to thank you all for your participation in AIRE’21. We hope that you find this workshop fruitful and inspiring!Nelly, Rachel, and Daniel
The Degree to which School Principals in the Directorate of Education in the Kasbah of Amman, Jordan, Practice Administrative Creativity from their Point of View: درجة ممارسة مديري المدارس في مديرية قصبة عمان بالأردن للإبداع الإداري من وجهة نظرهم

This study aimed to identify the degree to which school principals in the Directorate of Education of the Kasbah of Amman in Jordan, practice administrative creativity from their point of view. The study used the descriptive survey approach, and the tool was a questionnaire, and it was distributed to an intended stratified sample of (151) male and female school principals in the Directorate of Education of the Kasbah of Amman in Jordan for the academic year 2020/2021. The results of the study showed that the degree of school principals' practice of administrative creativity in the Kasbah of Amman, Jordan, from their point of view, got an average (3.53 out of 5) which means it got a grade of (medium). At the level of the domains, the sensitivity to problem solving domain got the highest average (3.67), then flexibility in thinking with an average of (3.51). Third; The domain of intellectual fluency with an average of (3.48) and finally the domain of originality with an average of (3.47). All of them are (medium). The results also showed that there are statistically significant differences at the level of (α ≤ 0.05) between the sample views due to the sex variable, in favor of females, and the experience variable in All fields, in favor of the category of experience of more than 20 years. Also, there are no significant differences attributable to scientific qualification. In light of the results of the study, the researcher presented a set of recommendations to the Ministry of Education to select principals from among the conscious leaders who bear the pressures of work and believe in the importance of creative male and female principals in schools and who have flexibility in thinking and openness to new experiences, and this is done through holding courses, tests and spreading awareness to increase the degree to which school principals practice creativity and innovation in their schools.
An Inertia Weight Concept-Based Salp Swarm Optimization Algorithm

This paper has introduced an improved salp swarm algorithm based on the inertia weight concept. The inertia weight concept will help achieve better convergence on obtaining a more accurate solution during both exploration and exploitation phases. Further, comparing the algorithm's performance with different inertia weights and the traditional algorithm is also made on various benchmark functions. The numerical results for best, worst, mean, and standard deviation values show that the proposed algorithm shown the best performance than the compared algorithms. The best performance is actual for most of the test cases compared to the traditional technique. Moreover, the conventional algorithm has achieved the worst global minima for the maximum number of test functions.
Avoiding Multithreading Nightmares

Concurrency and multithreading are a core part of iOS development. Understanding them and understanding how to properly leverage them is a key part of developing a high-quality app. Lack of concurrency usually leads to having nonresponsive apps that freeze up once a heavy operation is being performed.
SAMPRA: Scalable Analysis, Management, Protection of Research Artifacts.

This paper describes SAMPRA, a framework for supporting effective research on sensitive data being deployed at the University of New Mexico. SAMPRA and its associated implementation are designed to support the needs of a diverse set of use-cases from researchers across different disciplines at UNM, including from clinical neurosciences, forensic anthropology, and community health. From these use-cases, we identified a set of common unaddressed demands when handling data with privacy/protection requirements, particularly collaborative research projects, interfacing with scientific instruments, and full-lifecycle management of sensitive data. To properly address and accelerate research projects with these needs, SAMPRA a) integrates privacy-preserving storage and data transfer systems with data-centric virtual environments, and b) supports effective researcher use of the system through active collaboration between local IT personnel, campus enterprise IT service providers, and campus data librarians by defining clear roles with associated personnel. By doing so, SAMPRA seeks to meet the needs of research on sensitive data across the entire data lifecycle and avoid the pitfalls of generic “one-size-fits-all” services.
Do robots dream of paying taxes

Robot taxes embody the more futuristic challenges of managing automation and legacy workers. As machines and artificial intelligence take on more roles that used to be performed by humans, policymakers and technologists are assessing the costs this transition imposes and what parts of society will pay them. A robot tax on companies that replace employees with automated systems is easy to dismiss in its most simplistic forms but should be...
Feedback search algorithm for multi-particle quantum walks over a ring based on permutation groups

在量子计算科学中关于如何更好地构建量子搜索算法一直以来受到学者们的广泛关注, 并且基于量子漫步寻找新得搜索算法也仍吸引着学者们不断深入研究与探索. 本文正是从减少搜索过程中的时间消耗, 增加算法搜索的准确性和可控性等多方面进行考虑,提出了一种基于置换群的多粒子量子漫步搜索算法. 本文首先分析得到置换群在空间中可看成一个闭环,定义了置换集合,并且通过同构映 射将数据点所在数据集映射到定义的置换集,使得置换集合中元素数据点形成一一对应的关系. 其次,根据给定初始态和硬币算符,在数据点集与置换集合张成的搜索空间中利用多粒子的量子漫步 在环上进行目标数据搜索. 最后,根据函数$\varPhi(w)=1$找到目标数据,并用量子态存储数值,用于形成搜索算法的反馈控制；同时通过控制硬币算符从而控制量子漫步在环上行走方向,增加搜索的可操作性与准确性. 本文利用多粒子的量子漫步进行搜索,分析得到粒子数量参数j与时间复杂度呈非线性负相关；提出的量子漫步搜索算法符合零点条件与下确界条件, 且不受变量参数$ j $的影响；通过数值分析得到量子漫步搜索算法的时间复杂度等价于$\circ(\sqrt[3]{N})$,相比于Grover搜索算法提高了搜索效率.
Preface [Proceedings 35th International Conference on Logic Programming (Technical Communications)]

Since the first conference held in Marseille in 1982, ICLP has been the premier international event for presenting research in logic programming. Contributions are sought in all areas of logic programming, including but not restricted to:Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation.Languages: Concurrency, Objects, Coordination, Mobility, Higher Order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming Techniques.Declarative programming: Declarative program development, Analysis, Type and mode inference, Partial evaluation, Abstract interpretation, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualizationImplementation: Virtual machines, Compilation, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces.Related Paradigms and Synergies: Inductive and Co-inductive Logic Programming, Constraint Logic Programming, Answer Set Programming, Interaction with SAT, SMT and CSP solvers, Logic programming techniques for type inference and theorem proving, Argumentation, Probabilistic Logic Programming, Relations to object-oriented and Functional programming.Applications: Databases, Big Data, Data integration and federation, Software engineering, Natural language processing, Web and Semantic Web, Agents, Artificial intelligence, Computational life sciences, Education, Cybersecurity, and Robotics.
Measuring Hidden Bias within Face Recognition via Racial Phenotypes

Recent work reports disparate performance for intersectional racial groups across face recognition tasks: face verification and identification. However, the definition of thoseracial groups has a significant impact on the underlyingfindings of such racial bias analysis. Previous studies define these groups based on either demographic information(e.g. African, Asian etc.) or skin tone (e.g. lighter or darkerskins). The use of such sensitive or broad group definitions has disadvantages for bias investigation and subsequent counter-bias solutions design. By contrast, this studyintroduces an alternative racial bias analysis methodologyvia facial phenotype attributes for face recognition. Weuse the set of observable characteristics of an individualface where a race-related facial phenotype is hence specific to the human face and correlated to the racial profileof the subject. We propose categorical test cases to investigate the individual influence of those attributes on biaswithin face recognition tasks. We compare our phenotypebased grouping methodology with previous grouping strategies and show that phenotype-based groupings uncover hidden bias without reliance upon any potentially protected attributes or ill-defined grouping strategies. Furthermore, wecontribute corresponding phenotype attribute category labels for two face recognition tasks: RFW for face verification and VGGFace2 (test set) for face identification.
Low computational-complexity algorithm for theestimation of traffic parameters using spatio-temporal images and convolutional neural networks for real-time traffic monitoring

This thesis presents a new method using spatio-temporal images to count and to classify in nine objects-classes objects crossing a defined line in the street using convolutional neural networks. Firstly, it presents an automatic labeling algorithm of the spatio-temporal images using an open-source algorithm of the secretaria de movilidad de Bogota. The labeling algorithm allows creating a data set, to train different convolutional networks, in particular, YOLO networks. The results and parameters of training are presented. The trained models are then used to count the numbers of objects in each spatio-temporal imageto realize the counting for the whole video test. This counting method is compared with manual counting and the open-source algorithm in terms of counting and also in terms of processing time.
Ways with Words: Exploring Children Author’s Voices in Indonesia’s Children Book Series (KKPK)

Voice in literacy studies has been defined and redefined from different theories or perspectives.Current studies on voices in children literary work have explored the relationship between the authors' voices with their agency, identity, or even ideologies.Authors of young children's literatures are predominantly adults.Recent studies have shown how adult author voices are represented in young children's literatures with a focus on the issues of identities, agency, and ideologies.Relatively less is known how children author voices are represented in examining such compelling issues.With particular attention to the notions of "silencing and silenced," this paper aims to investigate children author voices in navigating the issues of identities, agency, and power in an adult-centric publishing world.Privilege stances of children authors-voices that are rarely heard and examined.This paper reports the analysis of 30 stories from three anthology volumes of Kecil-Kecil Punya Karya (KKPK) series that were published by Mizan from 2016 to 2020.The analysis focused on children authors' agency and power in developing characters, choosing topics, writing styles, meta narratives, rhetoric, convention, and clarity.The result of the analysis indicates that the voices of the KKPK children shape and are shaped by their sociocultural contexts.
A Comparative Study on Human Activity Recognition using Multi-Layer Perceptron Neural Networks and Multi Probability Logistic Regression

The capability of recognizing human physical movements with the help of wearable devices or IoT sensors is known as Human Activity Recognition. In this pandemic situation, most people, ancient age and the seriously infected people keep in isolation wards. Due to the rapid spread of COVID, it becomes difficult for caretakers or others to monitor them by residing in the same room continuously. So, to monitor them and take necessary precautions, the people are attached to wearable devices, and an IoT-based video capturing device is fixed in the isolation ward. The proposed system is intended to capture 6 general activities like walking, jogging, upstairs, downstairs, sitting, and standing and classify these activities based on the multi-class classification algorithms. The proposed paper implements and compares Logistic Regression, a traditional machine learning algorithm with Multi-Layer Perceptron (MLP), a deep learning algorithm, and MLP performs better than the machine learning algorithm. The data received from the IoT sensors stores in the cloud through the Raspberry Pi wifi module, and the proposed MLP model notifies immediately if any unexpected activity finds in the human.
A Statistical Generation Method of Association Rules by Inference of Diagnostic Test Index in Data Mining

In this paper, we investigated the possibility of using Youden s index, which is a diagnostic test index used in diagnostic medicine, as an interestingness measure among objective thresholds in association rules. First, we looked at the relationship of confidence measures for the sensitivity and specificity that constitute the Youden index. We also examined the relationship between Youden index and confidence measures by expressing the Youden index formula using various types of confidence, and presented the confidence interval of the Youden index. In addition, after grasping the meaningful properties as interestingness measure, we proved whether the condition of interestingness measure proposed by Piatetsky-Shapiro (1991) was satisfied. By simulation study, if the lower limit of the Youden index has a positive value, it is concluded that there is a positive association rule. If the upper limit of the Youden index has a negative value, it is determined that there is a negative association. If the lower limit of the Youden index has a negative value but the upper limit is positive, then it would be desirable to reserve whether or not there is a association rule.
Machine Learning Techniques with Item Response Data

This is a two-pronged study. Two aims of this study are both interested in comparison of 1) different R IRT (Item Response Theory) packages and 2) different machine learning techniques. The first part of the present study addresses the performance of a couple of psychometric software available in R. Then, using item parameters from real data sets from the Program of International Student Assessment 2015, three machine learning techniques (classification tree, random forest, na&#239;ve Bayes) are assessed in the second part. Between these two parts, connections of IRT and ML are briefly described and reviewed with reference. Findings are 1) two comparisons of two sets of packages for each IRT model are not informative (from the part I) and 2) the classifiers of random forest and na&#239;ve Bayes algorithms performed better than the classification tree, which confirms that more information leads to more accurate prediction and ensemble approaches are better than single tree approaches. (from the part II). Finally, implications and caveats of this study are provided.
BRIDGING THE FINANCIAL INCLUSION AND DIGITALIZATION GENDER GAP IN DRIVING ECONOMIC AND SUSTAINABLE GROWTH

Financial inclusion and female participation in the financial system can avoid risk and better manage household expenditures in health and education. Women’s access to banking services and holding their saving accounts can better control the resource allocations and make decisions. Thus, their participation in the financial system reduces inequality, increases social well-being, and improves a nation's economy. This study analyzes the influence of female financial inclusion, measured as access to digital banking services, on economic development. The time-series data 2011-17 has been collected from the published sources and databases like the Global Findex of World DataBank. The study also carried out regression analysis to examine the influence of digitalization over the economic growth of the country. The results show a positive influence of access to bank account and digital services on economic development.
Bewertungssystem für 3D-VR-Fabrikplanungssysteme/Evaluation system for 3D VR factory planning systems

Für die digitale 3D-VR-Fabrikplanung sind unterschiedliche Soft- und Hardwaresysteme am Markt verfügbar, die teilweise erhebliche Kompatibilitätsprobleme aufweisen. Für die Bewertung der Hardwareeignung für die 3D-VR-Fabrikplanung wird ein Bewertungssystem vorgestellt, das anhand konkreter Softwareapplikationen und einem passiven 3D-Stereo-Monitor mit Head-Tracking erläutert wird. Es wird dazu auch die Notwendigkeit des Einsatzes von Software-Middleware zur Nutzungssteigerung diskutiert. &amp;nbsp; Different software and hardware systems are available on the market for digital 3D VR factory planning, some of which have considerable compatibility problems. For the evaluation of hardware suitability for 3D VR factory planning, an evaluation system is presented that is explained using concrete software applications and a passive 3D stereo display with head tracking. The necessity of using software middleware to enhance usage is also discussed.