Reviewerly/exHarmony huggingface dataset:
PREDICTING EMPLOYEE PRODUCTIVITY BASED ON PERCEIVED ORGANIZATIONAL JUSTICE, JOB SATISFACTION, AND ORGANIZATIONAL CITIZENSHIP BEHAVIOR DURING THE COVID-19 PANDEMIC

PREDICTING EMPLOYEE PRODUCTIVITY BASED ON PERCEIVED ORGANIZATIONAL JUSTICE, JOB SATISFACTION, AND ORGANIZATIONAL CITIZENSHIP BEHAVIOR DURING THE COVID-19 PANDEMIC
Virtual Microscopy Tagging and Its Benefits for Students, Faculty, and Interprofessional Programs Alike

Background Over the years, due to technological innovations in medical education, virtual microscopy has become a popular tool used to teach histology. The Virtual Microscopy Project is a faculty and student collaborative project at the University of South Florida (USF) Health to transfer and update online histology slides from an outdated viewer to a completely new viewer. Methodology The project goal is to better facilitate the educational experience for students and faculty through the implementation of updated technology and features. Results At USF Health, multiple programs use the online histology slide viewer to teach normal histology. The previous website's organization and lack of additional features severely hindered opportunities for personalized education; users could not write any notes, circle or point to important features, or easily search for specific organs or tissue. An updated website user interface and additional instructional features will improve the students' accessibility and overall quality of their learning. The updated viewer will be more integrated into the USF Health Morsani College of Medicine (MCOM) curriculum, providing faculty with organized and readily available material. USF MCOM has faculty integration directors to create a balanced curriculum that can be reviewed by faculty for consistency and accuracy. Adding this same organizational structure to the online microscopy viewer will assist directors in forming and modifying the curriculum and may also provide them with additional resources for their education delivery. Conclusion The Virtual Microscopy Project hopes to produce an accessible, user-friendly online microscopy viewer that is beneficial to students for learning, to faculty for teaching/curriculum planning, and to medical education as a whole.
Image Caption Generator Using CNN and LSTM

This project entitled âImage Caption Generator Using CNN and LSTMâ is a work that demonstrates the automated generation of captions for a wide variety of images. This technology is used by major tech-giants like Google, Microsoft, IBM, etc. to generate captions for the huge dataset of images produced over various platforms and social media websites. This project embodies the use of various Artificial Neural Networks namely CNN (Convolutional Neural Networks), RNN (Recurrent Neural Networks) and LSTM (Long Short-Term Memory) Units. The functionality of the model developed using these neural nets. has been rendered to an interactive Web Application for the users to understand the methodology.
Enhancements to Neural Language Model for Generating System Configuration Code: A Study with Maven Dependency

Thanks to the widespread application of software frameworks, OTS components, DSLs, and new-generation software building and construction systems, leveraging system configuration code to assist in development is increasingly common, especially in agile software development. In software system implementation, the system configuration code is used to separate configuration items from the underlying logic, of which Maven dependency code is a typical example. To improve software productivity, developers often reuse existing dependency libraries. However, the large quantity, rapid iteration, and various application scenarios exacerbate the challenge for researchers to reuse the library efficiently and appropriately. Proper reuse of Maven dependencies requires correct importation, which is the research priority of this article; putting it into practical usage at the functional level is the next step. In order to overcome this barrier, researchers have proposed a number of recommendation and intelligent generation models based on deep learning algorithms and code learning strategies. We first introduce an enhancement path for the generation model in order to propose novel models that are more targeted than previous studies. We propose EMGSCC (Enhanced Model for Generating System Configuration Code), which generates accompanying dependency libraries based on the libraries already employed by the current system. EMGSCC uses content-based attention to cope with dependency language features and integrate additional domain information. Finally, we evaluate EMGSCC on the DDDI dataset with extra domain information, and findings show that improvement varies from 1% to 8% on all metrics compared with the baseline. We show empirical evidence of our enhancement path for generating system configuration code based on neural language models, and continuous improvement in this direction would yield promising results.
GENERIC DESIGN FLOW OF PIPELINED HARDWARE IMPLEMENTATION OF DEEP NEURAL NETWORKS

DNNs (Deep Neural Networks) have solved various deep learning tasks, including classification problems, natural language processing, and speech recognition.However, this success comes with increased computational and memory requirements.Furthermore, recent deep learning research indicates that hardware implementations such as FPGAs (Field Programmable Gate Arrays) are preferable for implementing DNNs, and they fulfill the requirements due to the integrated circuits with programmable logic gates and connections.This technique offers hardware implementation flexibility, which makes it appealing for a wide range of applications, and that flexibility differs from the standard circuit.As a result, FPGAs are becoming increasingly popular as a hardware solution for accelerating systems and processes.This article presents a generic version of the design flow for automatically implementing DNN models on hardware by generating pipelined HDL codes, which can overcome the implementation problem.The article compares the design flow to other recent similar tools.The design flow is validated using a DNN to detect the diabetic patient from the Pima Indians dataset classification.This paper shows a high performance by reducing the latency by 4x the non-pipelined VHDL code and 1000x the software implementation using the TensorFlow framework without affecting the model's accuracy.Also, this design flow can serve in the early prediction of diabetes in the future-finally, a presentation of the conclusion and future works.
How to Combine Student Science Education with Modern Environmental Education

This work is devoted to current problems of modern education: the formation and development of scientific thinking of the individual from the school age and the improvement of environmental education of students both of high school and older ones, since the authors do believe that these issues are interrelated. In this paper, some issues of students’ scientific education are considered from the standpoint of strengthening the science intensity of the proposed educational content. The authors, being in the systems of secondary and higher schools and based on their own professional experience, found their way to improve the level of scientific education of students by involving them in educational environmental/bionic research works in the form of IT projects. The students’ work on such a project implies the main stages of modern researching – from mathematical modeling of a selected natural phenomenon to mathematical processing of the corresponding computer experiment results and their interpretation. The organization of training-and-research activities of high school students and working on such researches have several positive outcomes, one of which is not only the improvement of knowledge in the Natural sciences, but also other positive aspects related to certain types of human thinking – critical, algorithmic, logical and creative ones. The authors believe that significant success in conducting student research can be achieved by working with “ordinary-and-average” but motivated students. The authors prove with their practical experience that it is possible to identify and educate young people with qualities (maybe with talents!) of researchers in time. The paper also points an important question about the contents of modern education at the secondary school and higher levels.
Soft Skills Formation of Future Athletes and Physical Education Teachers

The article presents the main aspects of theoretical and experimental study of the conditions for the “soft skills” formation of future athletes and physical education teachers in higher education institution. The content and features of the “soft skills” formation of a professional are revealed. The place of "soft skills" in the professional structure of the athlete and teacher personality and the role in the implementation of professional activities is determined. Complex multi-level solution of problems; critical thinking; creativity; people management; cooperation with others; emotional intelligence; judgment and decision making; customer orientation; ability to negotiate; cognitive flexibility; stress resistance; effective job search have been chosen for criteria of "soft skills" formation of university students majoring in physical culture and sports. Levels of formation of "soft skills" are ranked according to the degree of manifestation into initial, low, medium and high.With the help of these indicators, the conditions for the effective “soft skills” formation of modern students in the field of physical education and sport of higher education institutions are experimentally tested.It is recommended to supplement part of the educational components of the professional training of the educational program with topics that will contribute to the formation of "soft skills". It is important to target students to participate in soft skills training, and also to bring up the need for self-improvement as soft skills are crucial for graduates in employment and career development in the context of globalization.&#x0D;
Improvement of the Quality of Future Engineers’ Social and Humanitarian Training in the Higher Technical Education Institution

The article highlights the urgency of training highly qualified and competitive engineers in the labor market under the requirements of the world economy, the level of technological development, and taking into account societal demands for the quality of educational services. International experience of training future specialists and directions of improving the skills of engineering and technical personnel are analyzed. The results of the study of educational programs for the training of future engineers in the institution of higher technical education are presented. The necessity of updating the content of education based on professional and creative training of specialists in the field of engineering has been proved, considering it as a holistic process of personal and professional development of the graduate. The pedagogical potential of social sciences and humanities about the professional development of engineering and technical specialists is presented. Interdisciplinary courses are offered, which are aimed at philosophical understanding of the socio-economic situation in the country and the world, the development of critical thinking and abilities to organize one's own business, management skills, and more. Several methodological aspects of the implementation of pedagogical innovations in higher education are substantiated, including business and role-playing games, Problem Based Learning, Project-Based Learning, Oxford Debates, group work, interactive training, and workshops. The importance of professional communication as a complex socio-psychological formation is associated with the process of training future engineers and characterizes the level of formation of integrative knowledge, professional skills, and abilities. Emphasis is placed on the necessity to develop highly qualified specialists’ creative thinking, the initiative in decision-making, the ability to work in a team on solving philosophical issues, etc. The author has proven convincingly the urgency for preventing various forms of discrimination against people with special educational needs, as well as avoiding gender stereotypes and ideas in the institution of engineering and technical profile.
The role of participatory management in the educational process

The article discusses the concept of participatory management, principles and forms of participatory management in educational institutions. Participatory management plays a key role in promoting cognitive, emotional and attitudinal changes of educational actors involved in the activity of the educational institution. The role of participatory management directly involves the development of the time resources needed for decisionmaking/ problem-solving at institutional level.
Electronic Resources at Technical University Libraries: A Study

Given we are in the Internet Era, now it is commonplace to find electronic information resources at university libraries. Because the use of external storage devices like floppy discs and CD-ROMs is being rapidly replaced by the internet, particularly the World Wide Web in particular. The value of information has changed, and digital libraries are expanding globally. The necessity for electronic resources among users is growing daily in accordance with their academic needs the emphasis of its study is on internet-based resources. Additionally, this assessment is restricted to sites affiliated with reputable academics or organizations that offer information not seen in regular media. Some articles address the benefits of using electronic resources toward the fullest extent possible and offer a few suggestions for enhancing their services in light of anticipated future demands.
Image Reconstruction Using Deep Neural Networks Models

Abstract: Image restoration is the process of restoring the original image. It can be challenging to eliminate image blur in a variety of contexts, including photography, radar imaging, and the removal of motion blur brought on by camera shaking. Image noise is unintentional signal that enters an image from a sensor,such as a thermal or electrical signal or an external factor like rain or snow. The image degradation may be caused by transmission noise, object motion, resolution restrictions, coding artefacts, camera shake, or a combination of these factors. In order to distinguish between HF and LF artefacts, image decomposition is employed to divide the deformed image into a texture layer and a structure layer (Low Frequency LF Component) The current approach utilises the frequency characteristics of various forms of artefactsthrough a configurable deep neural network structure. Therefore, by changing the architecture, the same method may be applied to a number of picture restoration tasks. A quality enhancement network that uses residual and recursive learning is suggested for decreasing the artefacts with comparable frequency characteristics. Residuallearning is used to enhance performance and speed up the training process. Recursive learning is used to both improve performance and drastically cut down on the amount of training parameters. This Project aims to build systems for reconstructing the old images from under sampled one and mismatched Pixels to form a proper image to increase its visible quality and its pixels quality by using a Deep Neural network Models and it can improve the integration of various feature representations from many photos. Result Shows Improved Training accuracy of 92%.When compared to the two-frame designs now in use, the multi-frame architecture will be used which prevents repetitive computations caused by multiple inferences when aligning multiple images
Ternary codes from primitive representations of the group &lt;i&gt;PSL&lt;sub&gt;2&lt;/sub&gt;(9)&lt;/i&gt; and a new 2-(15,7,36) design

In this paper, we construct, using computations withMagma, a ternary code C from a primitive permutation representation of degree 15 of the group &lt;em&gt;PSL&lt;sub&gt;2&lt;/sub&gt;(9)&lt;/em&gt; by Key-Moori Method 1. The code C is an optimal code invariant under the group S&lt;sub&gt;6&lt;/sub&gt;. We consider the action of the automorphism group S&lt;sub&gt;6&lt;/sub&gt; on C and its dual. By taking the support of any codeword ? of weight l and orbiting it under S&lt;sub&gt;6&lt;/sub&gt;, 1-(15, l, k&lt;sub&gt;l&lt;/sub&gt;) designs are obtained, where k&lt;sub&gt;l&lt;/sub&gt; = l|?&lt;sup&gt;S&lt;sub&gt;6&lt;/sub&gt;&lt;/sup&gt; |/15. For any codeword, the structure of the stabilizer in S&lt;sub&gt;6&lt;/sub&gt; is determined and primitivity of S&lt;sub&gt;6&lt;/sub&gt; on each design is examined. It is shown that the complement of one of these designs is actually a new design &lt;em&gt;D&lt;/em&gt; with parameters 2-(15, 7, 36). Moreover, Aut(&lt;em&gt;D&lt;/em&gt;) ? S&lt;sub&gt;6&lt;/sub&gt;.
Popular bullying pattern among teenage students: A study of some school students in Kathmandu

Background: Bullying in itself has several impacts and entire world had been seeking solution for it. Bullying starts from the primary state of growth which begins from school. Bullying has its various type and impact. Aggression is one of the prominent factors for it. Objectives To study the nature of bullying in some schools of Kathmandu. To compare bullying pattern among community and private schools. To find out types of bully among the students. To find out aggressive and behavior of students involved in bullying Method: Descriptive with purposive sampling method was used and SPSS was used for data analysis. Discussion: There were 200 respondents where 100 were male and 100 were females. Mean score of male bully (38.08) and female (30.70). There were 83 respondents from community school and 117 from private school. Numbers of boys are higher in bullying, as bullies, victims, and bully-victims. Bullying students have higher aggression. Bullying occurs both in community and private school but it’s more in community school and so was aggression. Verbal bullying was higher in teenager than social and physical bullying. There was significant positive correlation between bully and victim, aggression and bully and bully and behavior. Conclusion: Verbal bullying was higher than that of physical and social pattern of bullying. If gender was taken in count male bully more than female. Comparing schools, community school has higher bullying than private schools.
The Effects of Instructor’s Facilitation and Learning Flow on University Students’ Learning Satisfaction and Learning Persistence in Non-Face-to -Face Learning Environment due to Covid-19

Objectives The purpose of this study is to present strategies for effective non-face-to-face instruction through examination of the impact of instructors’ facilitation and learning flow on university students' learning satisfaction and persistence in a remote learning environment due to Covid-19.&#x0D; Methods A survey regarding instructors’ facilitation, learning flow, learning satisfaction and learning persistence was conducted among 262 university students nationwide for two weeks. The results went through data coding and cleaning as well as series of reliability and validity tests. Furthermore, the relationship between the variables was investigated through multiple regression analyses and variable reduction methods.&#x0D; Results The results of multiple regression analysis and variable reduction methods for learning satisfaction have shown/proven that instructional designers, interaction facilitators, and learning flow variables were the significant variables. As for learning persistence, instructional designer and learning flow were the significant variables under the same procedure. The significance of the interaction facilitator variable had different results according to the dependent variable, and the learning information provider variable was derived as a variable that was not significant to any dependent variable.&#x0D; Conclusions Instructional designer variables and learning flow were derived as the major variables with the strongest influence on the learning outcomes. In other words, non-face to face instructional environment should organize classes based on the instructional design model, and it would be necessary to use various methods to overcome the characteristics and obstacles of the remote learning environment that hinder learners' attention. In addition, it would be desirable for instructors to provide only the important learning information in consideration of the learner's cognitive load.
Effects of English Language Instruction for Underachievers in Secondary Schools: a Meta-Analysis

Objectives The purpose of this study was to specify the effects of English language instruction for underachievers in secondary schools through a quantative meta-analysis.&#x0D; Methods 68 experimental studies were collected and analyzed in terms of dependent variables (English proficiency, affective domain), controlled variables (research type, region, school type, group size, instructional period and duration), and independent variables (10 types of instructional methods and approaches).&#x0D; Results The result of the meta-analysis was that the overall mean effect size was .741. The effect size of English proficiency was .787, and the effect size of affective domain was .949. Some statistical differences were found in some subcategories of each variable.&#x0D; Conclusions Almost all teaching types and methodologies were effective to some extent in English language instruction for underachievers in secondary schools, however the effect size was different depending on the variables.
Characteristics Comparison according to the Level of Lectures Satisfaction of K-University Students During COVID-19

Objectives The purpose of this study were to estimate the latent classes of lectures satisfaction and the characteristics of variables on these latent profiles.&#x0D; Methods To do this, correlation analysis and latent profile analysis were conducted to confirm the latent class and the characteristics of each class for the level of perception of lecture satisfaction for 327 K-university students in Chungnam.&#x0D; Results As results, by using latent profile analysis, four distinct latent classes of student’s lectures satisfaction were found. These classes were named ‘high-level satisfaction group’, ‘intermediate-level satisfaction group’, ‘low-level satisfaction group’ and ‘lowest-level satisfaction group. Second, chi-square and one-way ANOVA analyses indicated that number of out-of-class interviews, effect ratio for video, listening to and reflecting student opinions, Induce questions in class, and understanding the level of students were significant factors.&#x0D; Conclusions Based on the results of this study, policy measures to help increase lectures satisfaction were suggested.