Reviewerly/exHarmony huggingface dataset:
Utilization of virtual literature efforts to improve independent learning in the field of nursing science and practice in Indonesia

The utilization of electronic literature data is a handy learning feature for adults and independent students and other researchers. This study discusses the use of technology, especially virtual data, which is part of the independent learning of nursing students in Indonesia. We get supporting data from many publications such as books, health and technology journals, and websites related to the issue of this study. The data and literature that we get cannot answer the problem without first conducting a study that involves a phenomenological approach, a systematic review of a large amount of data to find evidence to answer something phenomenal. Based on the data and discussion, we can conclude that many uses of virtual data allow independent learning to increase among nursing students. They have gained convenience through electronic data services and facilities in the era of all-digital technology. It is hoped that the results of this discussion will support future studies, especially academics in nursing.
Should firms leverage Social Media usage to enhance Supply Chain Efficiency? A Post Covid-19 Empirical Investigation

With the unavoidable spread of post-covid-19 digitization across the globe, firms have started opting for social media usage to meet the emerging competitive business landscape. Accordingly, this paper intends to investigate the impact of social media usage on supply chain efficiency. Furthermore, it also aims to observe the mediating role of both quality and intensity of knowledge sharing between social media usage and supply chain efficiency. Structured, survey questionnaires along with a convenience sampling technique were used to collect data from 312 active social media users. Appropriate supply chain representatives which majorly includes manufacturers, retailers, and consumers were taken from the Fashion Industry of Pakistan. The overall result depicts that social media usage across the supply chain is significantly related to supply chain efficiency. Results also validate the mediating role of intensity and quality of knowledge sharing, for enhancing overall supply chain efficiency through social media usage. The findings assist supply chain channel members across industries of Pakistan in general, and the fashion retail industry in particular. The study clearly, propagates the integrated and multi-layered social media usage across supply chains, for anticipated SC efficiency and related performance outcomes.
Upaya peningkatan hasil belajar peserta didik melalui model pembelajaran Probing-Prompting pada materi sistem gerak kelas XI IPA

ABSTRACT The research activities carried out have the aim of obtaining information about how the effect of the application or use of the Probing-Prompting learning model on the learning outcomes of students in class XI IPA SMA Negeri 1 Tanjung Raja. The research that was conducted was using the Pre-Experimental Design method with the Random Sampling technique. The data obtained was carried out in class XI IPA 2 while the number of students was 31 people. The research instrument or tool used in the study is the initial and final test instrument in the form of multiple choice questions. The value obtained in the form of posttest average student learning outcomes, which is higher than the average value obtained during the pretest, which is 79.55 and 429.21. From the results of data analysis, hypothesis testing using t-test with the help of the Statiscal Program for Social Science. (SPSS20) the t-count is 38.358, while the t-table is 2.1423. From the results obtained, it can be concluded that tcount ttable, which is 38.3758 2.1423, which means H0 is rejected while Ha is accepted, so it can be concluded that the application of the Probing-Prompting learning model has a significant effect on student learning outcomes in class XI IPA SMA Negeri 1 Tanjung Raja on Motion System Material.Keywords: Probing-Prompting, Learning Outcomes, Movement System.
Correction: Simulation Framework for Autonomous Search and Rescue UAVs

Corrected Figure 16 by changing y-axis label and unit from -[null] to Velocity [m/s], correcting x-axis and formatting for better understanding and changing legend label from Speed Setpoint (CTOL) [m/s] to Commanded Velocity and Total Speed [m/s] to Velocity.
Theme extraction based on NLP

Theme Extraction is a method of identifying, evaluating, and understanding human perception about a product in form of key features or themes that we extract dynamically from a given set of reviews within a data set. These themes are then categories to form an opinion about a given feature inside of the product through which we can analyze the advantages as well as the short comings of a given product or organization. These key features are then displayed on to the user for them to make a wise decision based on their likes and dislikes which they can compare with the user base that have already formed a review. All of this happens seamlessly with the help of Natural language Techniques that enables us to dynamically extract features or themes and generalizes an opinion score alongside it to represent thousands of reviews in a small concise manner. To make this happen, we consider seven different steps: (i)Text Pre-Processing, (ii) Removal of Stop-Words, (iii) Vader Sentiment Analysis, (iv) Feature Extraction using HAC, (v) Classification of Key Features using MOS, (vi) Testing the Accuracy of the Score and (vii) Creation of Word-Cloud using Features.
MIXED REALITY TOOLS FOR EDUCATION IN THE METAVERSE

"Education needs to adapt to the constant changes of society and integrate modern technologies to enhance the process of teaching and learning. The recent Covid 19 pandemic has generated a shift towards digital education, as most educational institutions were forced to temporarily suspend all physical activities. The transfer and absorption of knowledge suffered greatly from this, especially in the underdeveloped countries where the infrastructure is limited. Nevertheless, the current crisis has paved the way for digital campuses, online classrooms and digital teaching platforms. In this article we briefly present several free tools that educators can adapt and use to create a virtual classroom based on mixed reality (XR) technologies, along with the main XR hardware (such as Oculus Quest, Hololens 2). We also share insights on how a virtual classroom can increase student participation and engagement, and how we envision the future of digital classrooms and their potential in the Metaverse."
INVESTIGATING CHALLENGES FACED BY INTERMEDIATE PHASE EDUCATORS IN THE TEACHING OF READING IN ENGLISH FAL. A CASE STUDY OF SELECTED PRIMARY SCHOOLS IN NYLSTROOM CIRCUIT

"Reading challenges by learners has been a widely researched topic by a lot of researchers. Poor teaching of reading by educators result in learners not being able to read. English is mostly used as a language of teaching and learning and that has influenced the rational for this research project. The purpose of this study was to investigate challenges faced by the English Intermediate Phase educators. learning cannot be successful without mastering reading as it is a basic tool for learning, it is not only in South Africa whereby English educators are not English speakers, yet learners are expected to master to English. Educators seem not to have good instructional practices as learners struggle to understand in English on its own. The study used a qualitative research approach with case study research design. The researcher used purposive samples, and selected 5 primary schools in which the population comprised of English Departmental Heads, and 3 English educators from each of the selected primary schools. Data was collected through semi-structured interviews, documentations and note-taking. The theory of Rosenblatt, who believes in a relationship between the text and the reader, has been followed on the premise that, what the reader already knows will determine how much he interprets or understands in the text. Thematic approach was used to analyse data. The study found that teachers who are not thoroughly trained are unable to produce good performing learners and that has influenced the whole system of education. Overcrowded classes to practice good reading strategies, no proper reading assessment strategies, and no monitoring and moderation of reading by SMT. The study recommended extensive training of and teachers through in-service-training for lengthier periods, clear guidelines of teach reading, monitoring and moderation. Mostly, educators indicated their desire to be trained in technology as learners prefer it rather than books and chalkboard."
HOW TO DEVELOP DIGITAL CITIZENSHIP EDUCATION? – A WORKSHOP FOR FOREIGN LANGUAGE EDUCATORS

"Digital Citizenship Education (DCE) has emerged as an international priority. As a result, we aim to propose a workshop on implementing teaching and learning practices and developing DCE in Foreign Language Learning (FLL) classrooms. The workshop is an opportunity to develop the participants’ digital literacy by putting in evidence the importance of oriented educational practices and the creation of unit plans and pedagogical resources for the development of DCE in FL education. In addition, it seeks to discuss the concept of DCE and share practices, methodologies and resources to improve professionals’ knowledge. The participants will be able to empower younger citizens to participate actively and responsibly in a digital society and to foster their skills of using digital technologies effectively and critically. The workshop would consist of a 45-minute session, divided into three parts: - a brief introduction to the concept of DCE in FLL and an overview of the activities of the workshop (10 minutes); - group-work in which the participants analyse teaching units developed by the authors, within an Erasmus+ project, to be used in FLL classrooms for different school levels, following specific guidelines (20 minutes); - presentation and discussion of the analysis of the teaching units by each group (15 minutes). The workshop addresses in-service and pre-service teachers, as well as teacher trainers or researchers. It is designed in a flexible and context-sensitive way to enable participants from diverse educational contexts in different countries to attend. The number of participants should be limited to 25."
SOCIO-PROFESSIONAL ADAPTATION OF REPRESENTATIVES OF DIFFERENT ETHNIC GROUPS: SOCIOLOGICAL ANALYSIS (ON THE EXAMPLE OF YOUNG TEACHERS IN AKTAU)

Abstract. The problematic field of scientific work focuses on the professional adaptation of ethnic groups to socio-economic transformations in the educational environment and the integration of society. The research question within the framework of this work is to find out the influence of belonging to ethnic groups on the process of professional adaptation in the educational environment. To date, there are quite a lot of publications on the problem of social and professional adaptation. However, the issue of adaptation of ethnic groups has not been sufficiently developed. Psychological and pedagogical studies of this problem prevail, while sociological analysis makes it possible to reveal the essential features of these processes. This article was written on the basis of the results of a sociological study on the topic "Professional adaptation of young teachers." The purpose of this study was to study the characteristics of professional adaptation of representatives of various ethnic groups. In the research work, the concept of "adaptation" as a sociological category was considered and classical and modern approaches to understanding the essence and mechanisms of professional adaptation were analyzed. The study of scientific literature, revealing the topic of the study, allows us to distinguish several groups of works. The first group of works is devoted to the study of social adaptation, which analyzes various approaches: a systematic approach, an informational approach, a phenomenological theory, a normative approach (E. Durkheim, T. Parsons, etc.), an activity approach and an interpretive approach (M. Weber). The second group of works is devoted to the study of social and professional adaptation in line with the study of social and labor processes. These are the works of M. Weber, A.B. Georgievsky, T. Parsons, and others. Labor adaptation in the process of vocational training and formation was considered by N.V. Polyakova, K.U. Chembelenge and others. The third group of works is devoted to a comprehensive study of the essence, goals, content of pedagogical activity. For example, the works of S.V. Kondratieva, and others. In the second part of the work, the main factors influencing the social and professional adaptation of representatives of various ethnic groups were analyzed. A comparative analysis of sociological studies on socio-professional adaptation was also carried out. The final part of this article presents the results of the study, reflecting the features of the professional adaptation of representatives of various ethnic groups in the educational environment. Keywords: adaptation, young teachers, socio-economic development, factors of professional adaptation, Kazakhstan, ethnic groups, integration of Kazakhstani society, education, professional activity, interethnic interaction, motivation of professional activity.
Sustainability Initiatives among Top Companies in the United Arab Emirates

Purpose: Any organization needs to sustain its performance both in the short and long term. Sustainability is a concept that focuses on financial, social and environmental aspects of management which gained a lot of attention recently. Lean production on the other hand is a philosophy that is focused on the elimination of waste. The purpose of this paper was to highlight the sustainability initiatives taken by the top companies in the UAE and how implementing the sustainable solutions and best practices in the UAE links with lean practices. Various current sustainable practices and initiatives were evaluated to examine whether they are aligned with lean management or not. This research aimed to provide useful insights to sustainability and quality practitioners in the UAE into various sustainability initiatives in UAE the challenges to implementing the initiatives and how they relate to lean concepts.&#x0D; Methodology: The study employed secondary research as the data collection approach using a systematic review of relevant journal articles. The research explored various sustainability initiatives laid down by the UAE government. It also investigated the relationship between sustainability and lean practices and their effect on organizational performance.&#x0D; Findings: The study determined that lean production was an effective means through which an organization can realize numerous benefits including costs reductions, increased, operational efficiency and higher waste management.&#x0D; Recommendations: Through this research study, it was established that lean production has strong potential of influencing achievement of objectives associated with sustainability. The first recommendation is on policy reforms. The second recommendation is on training and development programs in corporations in the UAE.
An Analysis of Several Keyword-Based Search Methods for Encrypted Data

Cloud computing provides several attractive benefits for users like on-demand computing, pay as per use. It brings great convenience to consumers; where shared resources, data and information are provided to computers on-demand and consumer has to pay as per use. Ideally for these services, consumers should be in a position to verify the charges billed to them. Cloud computing and storage solutions provide users and enterprises with various capabilities to store and process their data. But on other hand consumers are facing serious difficulties that how to search the most suitable services from cloud. It is desirable to store data on data storage servers such as mail servers and file servers in encrypted form to reduce security and privacy risks. Encryption is the process of encoding messages or information in such a way that only authorized parties can read it. Multiple encryption techniques are invented to encrypt the data. That way encrypted search has become an important problem in security. This is due to a combination of three things: (1) search is now the primary way we access our data; (2) we are outsourcing more and more of our data to third parties; and (3) we trust these third parties less and less. Because of this, the problem of encrypted search is now of interest to many sub-fields in computer science (e.g., databases, security, cryptography, privacy). Some existing methods are more practical than others, some are more secure than others and some are more functional or flexible. These schemes do not support verifiability of search result. To save computation cost or download bandwidth it is viewed as, selfish cloud server only conducts a fraction of search operation or semi-honest-but-curious server return a part of result. To tackle such challenges, multiple search scheme are invented.
TÜRKİYE’DE SİYASİ PARTİLER GENEL SEÇİM BEYANNAMELERİNDE ŞEFFAFLIKLA İLGİLİ NELER VAAT EDİYOR?

The purpose of this study, to determine the distribution of discourses-promises on transparency in election manifestos of political parties that passed the 10% election threshold in eight general elections according to the distinction of trend slopes, party ideology (right-left) and ruling, opposing party between 1991-2015 in Turkey. Although many qualitative and quantitative studies have been conducted in the literature on the effects of the processes and results of the transparency issue after 2000, there is no study encountered analyzing the transparency discourses-promises in the statements. 28 election manifestos were analyzed with content analysis method in terms of “discourse-promise of transparency”. As a result, 258 transparency discourse promises were identified. 146 of them are administrative, 84 are financial and 28 are political transparency. In administrative transparency, providing and obtaining information and the activities of public institutions; in financial transparency, use of resource and bids; in political transparency, in line with the expectations, the discourse-promise of transparency regarding the declaration of property of politicians has come to the fore. Although there is no difference between right and left parties in terms of the discourse-promise of transparency in the statements, especially after 2000, opposition parties have a clear advantage over the ruling parties.
Research of Theory on High Temperature Superconductivity, Super Fluidity and BEC

First, some progress of high-temperature superconductivity is discussed. Then we research its theory, including the extensive quantum theory, soliton solution, bag model and so on. Third, superfluidity and Bose-Einstein condensation (BEC), etc., are searched, such as the double solution of soliton-chaos in nonlinear equations. Finally, we predict existences of the hightemperature superfluidity and BEC, etc., and discuss some problems.
The correlation between peer interaction and students’ English proficiency at SMAN 5 Bandar Lampung

This research is aimed to investigate the correlation between peer interaction and students’ English proficiency. This research is conducted in SMAN 5 Bandar Lampung with the population of eleventh grader students. The sample of this research is obtained by cluster random sampling technique. The cluster chosen from the cluster random sampling is 11 MIPA 3 with 36 objects. To analyze the correlation between peer interaction and students’ English proficiency, the researcher used Pearson Correlation Coefficient analysis. Results are based on the guiding of the research questions. Based on the data obtained, 38.9% of the students have good English proficiency. To test the significance of the correlation, the r is 0.728 and the N is 36. Based on the result of the analysis, it is found that there is a strong correlation between peer interaction and students’ English proficiency since r=0.728. According to the testing of significance which has been done by the research, it resulted that the alternative hypothesis is accepted.
AIFMS Autonomous Intelligent Fall Monitoring System for the Elderly Persons

Falls are the major cause of injuries and death of elders who live alone at home. Various research works have provided the best solution to the fall detection approach during day vision. However, fall occurs more at the night due to many factors such as low or zero lighting conditions, intake of medication/ drugs, frequent urination due to nocturia disease, and slippery restroom. Based on the required factors, an autonomous monitoring system based on night condition has been proposed through retro-reflective stickers pasted on their upper cloth and infrared cameras installed in the living environment of elders. The developed system uses features such as changes in orientation angle and distance between the retro-reflective stickers to identify the human shape and its characteristics for fall identification. Experimental analysis has also been performed on various events of fall and non-fall activities during the night exclusively in the living environment of the elder, and the system achieves an accuracy of 96.2% and fall detection rate of 92.9%.
A Unified Approach for Representing Outdoor Scenes

Generalized image understanding of natural outdoor images is fundamentally a bottom-up approach guided by the data and information received from the digital input images. The importance of intermediate image representation that aids generalized image understanding, inspired the proposed a unified approach for providing a new meaningful and objective representation of a given outdoor scene. The proposed unified framework provides a novel set of string and semantic codes, based on inferential statistical data obtained from segments characterization and blocks characterization of natural outdoor images. The framework acts as an analytical tool that can categorize the input images into four types based on the inferential statistical representation - 1) Object-based image, 2) Heterogeneous color based texture image, 3) Homogeneous color based texture image, 4) Pure toned image. The proposed string and semantic code characterization is also rotation and scale variant. Such a representation is simple, unsupervised, computationally inexpensive and also places minimal demand on the storage. Later for a higher-level image analysis and understanding the proposed unified approach can provide focused interaction between the above intermediate representation and domain scene knowledge for object detection, classification, or recognition.
The influence of robot salience on workplace objectification

等流行语风靡职场的当下, 职场物化已然成为了一个亟需探讨的话题。