Reviewerly/exHarmony huggingface dataset:
Jointly Harnessing Prior Structures and Temporal Consistency for Sign Language Video Generation

Sign language is the window for people differently-abled to express their feelings as well as emotions. However, it remains challenging for people to learn sign language in a short time. To address this real-world challenge, in this work, we study the motion transfer system, which can transfer the user photo to the sign language video of specific words. In particular, the appearance content of the output video comes from the provided user image, while the motion of the video is extracted from the specified tutorial video. We observe two primary limitations in adopting the state-of-the-art motion transfer methods to sign language generation:(1) Existing motion transfer works ignore the prior geometrical knowledge of the human body. (2) The previous image animation methods only take image pairs as input in the training stage, which could not fully exploit the temporal information within videos. In an attempt to address the above-mentioned limitations, we propose Structure-aware Temporal Consistency Network (STCNet) to jointly optimize the prior structure of human with the temporal consistency for sign language video generation. There are two main contributions in this paper. (1) We harness a fine-grained skeleton detector to provide prior knowledge of the body keypoints. In this way, we ensure the keypoint movement in a valid range and make the model become more explainable and robust. (2) We introduce two cycle-consistency losses, i.e., short-term cycle loss and long-term cycle loss, which are conducted to assure the continuity of the generated video. We optimize the two losses and keypoint detector network in an end-to-end manner.
Psychological features of development of educational organization managers' creative potential indicators

Introduction. The creative potential of managers of educational organizations acquires special importance in the context of social transformations and social tension in the country. Aim: to analyze the psychological features of the development of educational organization managers' creative potential indicators. Methods. What is your creative potential? (Scale A (My Personality), Scale B (My Approach to Problem Solving), Scale C (My Work Environment)). Results. The majority of respondents had an average level of the creative potential indicator called "My Personality". A large number of respondents had a standard approach to solving problems without showing creativity. High level of the creativity indicator called Work Environment was found in a small number of educational organizations. Conclusions. The introduction of a special program aimed at developing the creative potential of managers of educational organizations can help increase creativity in management.
School-Based Management and School Heads’ Competencies and Practices

This study examines School-Based Management level of practice focus on performance improvement and SBM principles in relation to school heads' competencies and leadership practices.The research method was descriptive coupled with correlational research design.The respondents of the study composed of 43 school heads and 265 teachers from public secondary schools in the Division of Laguna and were selected using purposive sampling.A validated survey questionnaire checklist was used to gather the necessary data and information needed.Weighted mean, standard deviation, t test, correlation and multiple regression were the statistical tools used to answer the intended research questions.Based from the results of the study, it shows that competence and leadership practices of school heads and SBM principles were found to have a remarkable level of highly evident while the SBM level of practice focus on performance improvement was highly observed.Other findings show no significant difference in the level of school heads' competencies and leadership practices, as well as their schools' SBM level of practice and principles as rated by teacher and school head respondents.Likewise, school heads' competencies and practices were found significantly correlated with SBM level of practice and principles.Also, some indicators of competencies and practices were found significant predictors of SBM Level of Practice and Principles.The result of the study came up with the following recommendations: (1) continue to strengthen partnership with local community to help create more effective learning environment.( 2) Continuous retraining to get updated on the use of modern technology.(3) Conduct orientation program especially for new school heads focus on how to solve school work problems based on proper approach and decision making.(4) Continually involve 923 www.ijrp.org
Traditional and digital learning technologies In assessment of the higher school students

The article deals with the analysis of the use of learning technologies - traditional, digital, blended - at the present stage of digitalization of higher education; the results of experimental researches of an assessment of applying the various learning technologies by students in the humanities, science, technology and maths are presented; special attention is given to the humanities subjects.
Entrepreneurship Strategies and their Impact on the Success of Business Organization: A Case Study at the University of Science and Technology Hospital, Sana’a

This study aimed to identify entrepreneurship strategies and measure their impact on the success of the University of Science and Technology Hospital, Sana’a. It also aimed to identify the degree to which entrepreneurship strategies are practiced. To achieve the objectives of the study, the analytical descriptive method was used, and the questionnaire was developed for collecting primary data from a stratified random sample of (258) employees of which (240) questionnares were valid for analysis. Based on the data analysis and the hypotheses testing, the study showed that there was a positive impact of entrepreneurship strategies on achieving the success of the University of Science and Technology Hospital, the results also revealed that the level of distinctiveness in the hospital was very high, and the level of innovation, risk, and initiative practicing was high, while creativity was of a medium degree. The level of efficiency and effectiveness of the hospital was also high. The study recommends that the hospital management should continue to adopt leadership strategies in its strategic plans.
The Relationship of Personal Characteristics and Motivation of Achievement among Students of Defectology

The article presents an analysis of the relationship between personal characteristics and achievement motivation among students of speech pathologists. It is noted that the motivation of achievement is determined by personal factors that determine the activity of an individual in social reality. The characteristic of personal characteristics of students is given on the basis of the analysis of foreign and domestic works. A number of definitions of motivation and achievement motivation are given. The concept of achievement motivation in relation to personal characteristics is defined. The article presents the results of an empirical study of the relationship between personal characteristics and achievement motivation among students of defectology, according to which students of defectology, prone to emotional stability, demonstrate a pronounced desire to achieve results. Defectology students with pronounced introversion show independence in the process of achieving results.
Identification of online harassment using ensemble fine-tuned pre-trained Bert

Abstract Identification of online hate is the prime concern for natural language processing researchers; social media has augmented this menace by providing a virtual platform for online harassment. This study identifies online harassment using the trolling aggression and cyber-bullying dataset from shared tasks workshop. This work concentrates on extreme pre-processing and ensemble approach for model building; this study also considers the existing algorithms like the random forest, logistic regression, multinomial Naïve Bayes. Logistic regression proves to be more efficient with the highest accuracy of 57.91%. Ensemble bidirectional encoder representation from transformers showed promising results with 62% precision, which is better than most existing models.
Automated System for Managing Hospital Data Using RPA

Abstract: Healthcare systems contain multiple difficult tasks and strict regulations that require a considerable amount of resource allocation which causes high cost of operation, slower process and inefficiency. Healthcare professionals can address these problems by using the strength of automation and RPA thereby patient satisfaction can be improved. QR codes are fast becoming the go-to method for many organizations and businesses around the world. The reason complex management systems are using QR codes to manage their businesses better is that QR codes can help organize the overwhelming data gathered from customer and, on the other hand, give out information to users where it is due. Hospitals are some of the most challenging and complex organizations to manage and maintain. There are many variables to consider when running a hospital, such as patients, doctors, staff, drugs, labs. Automating the existing manual process of admission through computer software and hardware is the aim of hospital management system which enables faster access and manipulation of the valuable information through QR code.
Reverse mentoring in vocational training of future teachers

The article describes the experience of the reverse mentoring system in the student environment of the university. Tasks, directions, stages of implementation, methods are considered, indicators of performance of implementation of reverse student mentoring among future teachers of pre-school education at the department of the university are presented.
Using quick response code (QR) to access the educational material at the Saudi's iEN (National education portal website)

The study aimed to identify the use of Quick Response Code (QR) to access the educational for the "iEN" website, the national learning portal in Saudi Arabia. The research team applied the analytical survey method of the study using the primary tool (the questionnaire) to a sample of 911 students of both genders. The study found extensive and active use of secondary and middle school students in the Northern Border region in Saudi Arabia. The study came up with the following main recommendations: The need to periodically measure the quality of the iEN's website's electronic courses to identify and enhance their strengths, with the need to update the quality standards of electronic content provided through the E-learning "iEN" platform. It is also essential to gradually apply Quick Response Code in public education in Saudi Arabia, with the gradual dispensation of the traditional system in the educational process. There is a need to expand the dissemination of the culture of using Quick Response Code among all segments of society, including students and faculty, and directing them to benefit from the advantages of e-learning that respects quality standards.
Popularity Ranking of Undergraduate Thesis Manuscripts in the E-Read System Based on Number of User Accesses

The undergraduate thesis is a scientific work produced by a final year student who collaborates with his supervisor as a condition to be able to complete his studies at a university. The increase in the number of thesis works has caused the library at the Faculty of Computer Science, UPN "Veteran" Jawa Timur to start overcapacity in accommodating the physical thesis books from each student, therefore in another part of the research conducted by the author, an undergraduate thesis book management system has been created in the library of the Faculty of Computer Science UPN "Veteran" Jawa Timur, which is named E-Read. Through the system built, all student undergraduate thesis works can be stored in digital form so that the problem of overcapacity of student physical books can be handled and provides convenience in managing and accessing the thesis data. This study aims to add a ranking feature for thesis manuscripts stored in the E-Read system database based on the popularity of the number of undergraduate theses works accessed by system users. Through this ranking feature, the users of the E-Read system, especially students, can find out the works that are most frequently accessed by other users so that they can provide more references to give ideas in finding the research topic that they will be working on. &nbsp;Based on the tests carried out, it can be stated that the system has fulfilled all functional requirements and has a very satisfactory usability value by producing a value above 3 for 12 attributes, and a value of 2.8 for 1 attribute.
Students’ reading comprehension using mall strategy through Padlet in High School students

The objective was to determine if there is a significant difference between the reading comprehension of EFL students who use the Mobile Assisted Language Learning (MALL) strategy through "Padlet" and students who are taught with conventional teaching methods. For data collection, high school students at IES Antonio Avila took various tests, surveys and classroom observations using learning methods in line with Padlet or conventional teaching. MALL strategies through Padlet should be integrated and carried out in a series of tasks. The results would likely show that instruction using MALL through Padlet helps motivate students to comprehend what they read and improve their linguistic accuracy.
Grassroots Cryptocurrencies: A Foundation for a Grassroots Digital Economy

Grassroots currencies are means for turning mutual trust into liquidity, with the goal of providing foundations for grassroots digital economies. Grassroots coins are units of debt that can be issued by anyone -- people, corporations, cooperatives, banks, municipalities and governments -- and traded by anyone. They are more similar to `inside money' (a medium of exchange backed by private credit) and to fiat currencies (for which the issuer controls scarcity) than to global cryptocurrencies such as Bitcoin or Ethereum, which are unbacked and for which scarcity is controlled by the protocol. In this paper we introduce the principles that underlie grassroots currencies; show that they naturally admit basic fiat currency measures regarding foreign trade such as foreign debt, trade balance, and velocity, and basic accounting measures such as cash ratio, quick ratio, and current ratio; elaborate economic scenarios enabled by these principles for grassroots currencies issued by natural and legal persons; relate grassroots currencies to extant work, including notions of personal currencies, community currencies, cryptocurrencies, and inside money; formally specify grassroots currencies as digital entities, governed by the Grassroots Currencies Protocol; discuss the security (safety, liveness, and privacy) of the protocol; and prove that the protocol is grassroots. An implementation of grassroots currencies via a blocklace-based payment system is described elsewhere.
Feature Extraction for Face Recognition Using Haar Cascade Classifier

This is an era where sophisticated technology can develop rapidly, one of which is technology in the field of computer vision, such as facial recognition systems that can be used in security systems, access control systems, smart cards, and surveillance systems. In developing a face recognition system, the level of recognition accuracy can be influenced by several factors, namely lighting factors, facial expressions, facial positions, and changes in facial attributes. This study uses the Haar Cascade Classifier method in facial extraction and is assisted by using CNN for facial classification. This research uses python programming and the Open CV library.
Effects of virtual hands and feet on the onset time and duration of illusory body ownership

In the illusory body ownership, humans feel as if a rubber hand or an avatar in a virtual environment is their own body through visual-tactile synchronization or visual-motor synchronization. Despite the onset time and duration of illusory body ownership has been investigated, it is not clear how the onset time and duration change when a part of the body is missing from the full-body. In this study, we investigated the completeness of the full-body for the illusion onset and duration by comparing the following conditions: complete avatar, avatar missing hands and feet, and avatar with hands and feet only. Our results suggest that avatar hands and feet only shorten the duration of the illusion, and missing body parts, such as only hands and feet or no hands and feet, reduce the sense of body ownership and of agency. However, the effects of avatar completeness on the onset time are unclear, and no conclusions can be made in either direction based on the current findings.
Kyiv National University of Culture and Arts Scientific Library in the System of Publications’ Scientometric Assessment

The aim of the article is to investigate ways to assess the effectiveness of scientific research, conduct a comprehensive analysis and characterise the publications of research and teaching staff of the Kyiv National University of Culture and Arts. The research methodology is based on the application of a systematic approach and a number of methods: analytical, observation, comparison, and the method of theoretical generalisation. The classification method is to organise data by volume and quantity. The authors have revealed the transformation of the structure of scientific research through the dialectical method taking into account the development of scientometric indicators. The scientific novelty consists in processing and covering the results of publication activity of research and teaching staff of the Kyiv National University of Culture and Arts in international scientometric databases. The article describes the work of the Scientific Library to provide access to full-text databases, user training, monitor publication activity, and identify scientific papers in international databases. Conclusions. The significance of publications as a scientometric indicator is that this indicator assesses the effectiveness of both individual scientists and research teams and facilities. Publications in academic journals indexed in Scopus and Web of Science contribute to the growth of the rating in the scientific community, guarantee the successful defence of scientific work, increase the chance of receiving grants, and contribute to an excellent start to publishing activities in world-class scientific journals, and so on. The creation and active work of the bibliometric and scientometric sector of the Scientific Library, which provides information and analytical support for the publication activity of higher education institutions, contributed to the increase in the level of publication activity, scientometric and bibliometric indicators of research and teaching staff of the Kyiv National University of Culture and Arts.
Post-quantum hash functions using $\mathrm{SL}_n(\mathbb{F}_p)$

We define new families of Tillich-Z\'emor hash functions, using higher dimensional special linear groups over finite fields as platforms. The Cayley graphs of these groups combine fast mixing properties and high girth, which together give rise to good preimage and collision resistance of the corresponding hash functions. We justify the claim that the resulting hash functions are post-quantum secure.
BlindSpotNet: Seeing Where We Cannot See

We introduce 2D blind spot estimation as a critical visual task for road scene understanding. By automatically detecting road regions that are occluded from the vehicle's vantage point, we can proactively alert a manual driver or a self-driving system to potential causes of accidents (e.g., draw attention to a road region from which a child may spring out). Detecting blind spots in full 3D would be challenging, as 3D reasoning on the fly even if the car is equipped with LiDAR would be prohibitively expensive and error prone. We instead propose to learn to estimate blind spots in 2D, just from a monocular camera. We achieve this in two steps. We first introduce an automatic method for generating ``ground-truth'' blind spot training data for arbitrary driving videos by leveraging monocular depth estimation, semantic segmentation, and SLAM. The key idea is to reason in 3D but from 2D images by defining blind spots as those road regions that are currently invisible but become visible in the near future. We construct a large-scale dataset with this automatic offline blind spot estimation, which we refer to as Road Blind Spot (RBS) dataset. Next, we introduce BlindSpotNet (BSN), a simple network that fully leverages this dataset for fully automatic estimation of frame-wise blind spot probability maps for arbitrary driving videos. Extensive experimental results demonstrate the validity of our RBS Dataset and the effectiveness of our BSN.
Impact of IT on Knowledge Management: A Study of Yemeni Banks

This study aimed to assess the impact of IT dimensions (devices and equipment; software; data bases; networks; human element) on knowledge dimensions (generating knowledge; storing knowledge; sharing knowledge; applying knowledge). It also aimed to identify the level of differences among the study sample regarding the level of applying knowledge management in Yemeni banks attributed to demographic variables (gender; age; education; position; years of experience; ways of acquiring knowledge). To achieve this, the descriptive analytical method was used, and a questionnaire was administered to collect data. The population was all general departments in the Yemeni banks, of which (290) members were selected by the simple random method. (252) questionnaires were valid for analysis which were analyzed by the SPSS, using descriptive and inferential statistics. Major findings revealed that IT is crucial for knowledge management in banks. The IT dimension that had the highest impact on knowledge management was the human element, whereas the lowest was devices and equipment. On the other hand, knowledge management had no differences attributed to gender, age, position and ways of acquiring knowledge, but there were differences attributed to education variable. Yemeni banks were recommended to keep abreast of IT developments, and to facilitate the application of knowledge management in order to develop knowledge and improve services.
Weather Forecast Based on Daily Temperature Data Using Seasonal Auto-regressive Integrated Moving Average (SARIMA) Method: Surabaya – BMKG Juanda

Indonesia is a country that has two seasons in one period, namely the dry season and the rainy season. Problems often arise in the field of climatology, is the presence of missing data, which affects the quality of the prediction results. This study uses time-series results, which show the characteristics of statistical values ??with observed data and behave according to the probabilistic concept. In this research case study, we took data from Kaggle which contained Global Climate Change data for the Surabaya area from 1900 to 2012. In addition, we took BMKG online data from 2013 to 21 April 2021 based on observations from the Juanda Meteorological station for the Surabaya area, and surrounding. Specifically for this research, we focus on the rainfall temperature which is modeled using the ARIMA Seasonal model, to predict the weather in the Surabaya area and its surroundings. Therefore, we want to analyze the weather prediction using the ARIMA Seasonal time series model for a case study in the Surabaya area. It can be simplified that the temperature prediction in the Surabaya and surrounding areas has an accurate value with the selection of the best model SARIMA (3,0,0) (0,1,1,12).