Reviewerly/exHarmony huggingface dataset:
Design and Development of Solar Based Washing Machine Model for Tiny Family

The solar-based washing system is very helpful, especially for those who are doing business as dry washer because the proposed method not only save electricity, it will save water too. In recent days, every house has its washing system. It will occupy some space of the house in everywhere of the city. It will consume higher power from 800 watts to 1500 watts based on various patterns and convenience. The washing machine is essential item in every house and factory; it will use to clean cloths, uniforms, shoes, bed-sheet, etc. It will rotate in both forward as well reverse directions to remove the dirt in the cloth. It will depend totally on electricity, whenever electricity is available. Due to the continuous use of washing machines, the electricity cost is lead 600 to 1000 rupees for the average house family members. It will be overcome by using solar based washing machine system. It doesn’t require electricity. It is also a similar construction part of a remaining system and applicable to use all technologies.
Perceived Security of E-Payment System and Reduction in Incidence of Fraud in Kwara State Internal Revenue Service, Nigeria

<p class="Default">Globally, governments have been embracing e-payment system to fast-track revenue collection, and to equally minimize incidence of fraud. However, a major threat to the smooth operation of e-payment in Nigeria is security related issues. Therefore, this study examined perceived security and incidence of fraud, with particular reference to Kwara State Internal Revenue Service (KWIRS), Nigeria. The study obtained a sample of 285 from a population of 996. The findings demonstrated that perceived security dimensions strongly contributed to reduction in incidence of fraud. The study concludes that improvements in e-payment system security, particularly with regard to trust issues, have a significant impact on the amount of fraud reduction in KWIRS. It is recommended that the government ensure the expansion of the country's e-payment system, which necessitates adequate collaboration with the private sector in expanding the existing internet facilities, in order to improve the convenience of use and safety for users<em>. </em>
DEVELOPMENT AND RESEARCH OF COMPUTER VISION ALGORITHMS FOR IMAGE ANALYSIS OF DEFORMED ERYTHROCYTES

The paper presents the results of the development and research of algorithms for analyzing images obtained by blood microscopy using computer vision technologies. The objects of the study are images of erythrocytes deformed in the shear flow. The deformability of erythrocytes largely determines the nature of blood microcirculation and therefore is directly related to the diagnosis and treatment of many diseases. At the current moment image analysis of the evaluation of blood cells deformations is usually performed visually by medical technicians. To automate the image processing process various technologies were investigated. As a result, a new computer vision approach for rapid and accurate recognition of erythrocytes deformed in shear flow is presented. The developed algorithms use image binarization and a neural network based on the U-Net architecture for separated erythrocytes, and a neural network based on the StarDist architecture for their conglomerates. We present the results of the algorithms on real lood microscopy images, compare their performance and discuss the practical applications in medical diagnostics. Evaluation of the distribution of erythrocytes by deformability will provide additional diagnostic and scientific information for medical research. Automation of image analysis of deformed images will increase the accuracy and simultaneously reduce the time and cost of tests, leading to a better patient treatment.
User Interface Design Improvement and Usability Evaluation for Evolution Web Application of Telkom Indonesia Using User-centered Design

Evolution is a web application for collecting the Evidence report. This application is used regularly every quarter of the year. The main purpose is as a repository of evidence control that can be used at any time for audit purposes. Evolution Web Application will be utilized as a research object because there are problems with the user interface design and did not meet the concept of usability. To validate the Evolution Web Application User Interface Design problem and the improvements that will be applied according to user needs. User interview is conducted using Focus Group Discussion (FGD) with Evolution web Application users. The purposes of Focus Group Discussion (FGD) are to find problems in the user interface and expectations to achieve user goals for user interface design improvement. The interview results show that the current User Interface design has significant flaws. To improve the usability of the Evolution Web Application, a method known as User-centered Design (UCD) is used for improving the User Interface design of the Evolution Web Application. The evaluation after design improvement is carried out by using a Heuristic Evaluation involving 3 experts to review the usability of the design improvement result. Heuristic Evaluation produces answers from 3 experts with a severity value not more than a severity value of 2, which indicates a severity status of 2 is a Minor usability problem or fixing should be given low priority.
Peramalan Jumlah Kasus Baru HIV Menurut Provinsi Menggunakan Machine Learning dengan Teknik Levenberg-Marquardt

Early detection of HIV is a crucial step to reducing transmission and increasing the success of HIV treatment. The sooner HIV is detected, the sooner treatment can be carried out so that this infection can be controlled and does not develop into AIDS. Therefore, the purpose of this study is to forecast the Number of New HIV Cases in Indonesia based on 34 Provinces so that the government can obtain information early on to determine the right policy to suppress the increasing number of new HIV cases in Indonesia. This research proposes forecasting using a Machine Learning algorithm with the Levenberg-Marquardt technique. The research data is data on the number of new HIV cases by province obtained from the 2021 Indonesian Health Profile book issued by the Ministry of Health of the Republic of Indonesia. This research will be analyzed using three network architecture models, 3-15-1, 3-20-1 and 3-25-1. Based on the analysis of the three models used, the results show that the 3-15-1 model is the best because it produces a higher accuracy level than the other two models, which is 88%. It can be concluded that the Levenberg-Marquardt technique with the 3-15-1 model is quite suitable for forecasting new cases of HIV in Indonesia. Based on the prediction results, the number of new HIV cases by the province in Indonesia at the end of 2022 decreased significantly compared to 2021, which was 24668 compared to 36902 or reduced by around 12 thousand cases.
Implementation of the SAW Method in the Decision Support System for Contract Extension Freelance Daily Workers

The Department of Population and Civil Registration of Asahan Regency provides a freelance daily worker contract extension (THL) which is carried out once a year. Previously, the labor contract extension process was carried out by the head of the personnel sub-section directly in the field and then proposed to the Regional Personnel Agency (BKD) for approval. Then the BKD Office of Asahan Regency gave a contract extension letter to be distributed to contract extension workers who deserved to be extended the contract through the head of the civil service sub-section of the Asahan Regency Population and Civil Registry Office. However, with the number of proposals and the many criteria used in the assessment, this makes it difficult for the Dinas to make decisions about who is entitled to apply for an extension of their work contract. The solution to the problem of extending the contract for casual daily workers (THL) at the Department of Population and Civil Registry of Asahan Regency is by making a decision support system for extending the contract for casual daily workers using the SAW method.
METAHEURISTIC OPTIMIZER BASED ON THE BEHAVIOR MODEL OF A COLONY OF SOCIAL SPIDERS

A metaheuristic optimizer is proposed that simulates patterns of behavior of a spider colony for solving optimization problems of multidimensional multiextremal functions. The optimizer allows not only to simulate various types of agent behavior, but also includes computational mechanisms to maintain a balance between the convergence rate of the algorithm and the diversity of the solution search space. Such mechanisms are the identification of patterns of individual and collective behavior of spiders, the addition of attractive operators. Search agents in the algorithm are individually controlled by a set of different attractive search operators based on the patterns of individual and collective behavior of agents, as well as the mechanisms of population selection used. The effectiveness of the algorithm is analyzed using a series of experiments for the problems of finding a global minimum on a set of several wellknown test functions: spherical, Schwefel, Rosenbrock, sum of squares, Rastrigin and Salomon. The results were compared with competing bioheuristics for optimizing the swarm of particles and bee colonies by such indicators as the average best solution, median best solution and standard deviation from the best solution. The accuracy of the algorithm and the time to find a solution turned out to be higher than that of competing algorithms. A nonparametric proof of the statistical significance of the results obtained using the Wilcoxon T-test for independent samples found by each of the compared algorithms on a set of test runs was carried out. Experimental results suggest that the results of the proposed algorithm are statistically significant, they did not happen by chance. This is due to the achieved balance between the convergence rate of the algorithm and the diversity of the solution search space.
An Improved Symmetric Key Encryption Method Using Randomized Matrix Generation

Currently, digital data security has appeared as the largest challenge before the society. This concern has become more serious due to the data movement through the unsecured wireless medium. The text format data are mostly targeted by different attackers because of its usage in various finance and other sectors. Different advanced approaches were proposed for securing text data but security concern still remains. In the proposed method a symmetric key cryptographic algorithm is developed for securing the text data. The encryption and decryption key is generated through a set of matrix operations. The Key is generated by the multiplication of random matrices followed by a determinant operation of the same transposed and conversed matrix. The performance of the proposed method is compared with a few existing algorithms using throughput expressed in kilobytes per second. The result analysis has shown that the proposed work with both variations performed well compared to all other discussed algorithms.
GEM: Execution-Aware Cache Management for Graph Analytics

Graph analytics plays a significant role in various application domains. However, the performance of graph analytics is limited by the inefficiencies of the cache hierarchy. In recent years, plenty of works focus on eliminating the irregular data accesses to accelerate graph analytics. However, we find that even regular data accesses cannot fully utilize cache hierarchy because current cache management is independent of execution characteristics. To this end, we propose GEM, a Graph-specialized Execution-aware cache Management at the L1D cache. GEM perceives from execution patterns in graph analytics and exploits customized cache management for regular data accesses without any pre-processing phase. More specifically, GEM identifies when the regular data accesses will occur and employs a length-aware fetch and reuse-aware replacement accordingly. We implement GEM on a popular multi-core simulator and evaluate the performance on various algorithms using several large real-world graphs. The result shows that GEM outperforms the state-of-the-art graph-specialized cache management by $$21.1\%$$ on average and up to $$44.5\%$$ in the best case, with up to $$66\%$$ reduction of expensive off-chip memory accesses.
A novel correlation Gaussian process regression-based extreme learning machine

An obvious defect of extreme learning machine (ELM) is that its prediction performance is sensitive to the random initialization of input-layer weights and hidden-layer biases. To make ELM insensitive to random initialization, GPRELM adopts the simple an effective strategy of integrating Gaussian process regression into ELM. However, there is a serious overfitting problem in kernel-based GPRELM (kGPRELM). In this paper, we investigate the theoretical reasons for the overfitting of kGPRELM and further propose a correlation-based GPRELM (cGPRELM), which uses a correlation coefficient to measure the similarity between two different hidden-layer output vectors. cGPRELM reduces the likelihood that the covariance matrix becomes an identity matrix when the number of hidden-layer nodes is increased, effectively controlling overfitting. Furthermore, cGPRELM works well for improper initialization intervals where ELM and kGPRELM fail to provide good predictions. The experimental results on real classification and regression data sets demonstrate the feasibility and superiority of cGPRELM, as it not only achieves better generalization performance but also has a lower computational complexity.
DIAMAS

In this episode, we are discussing the project Developing Institutional Open Access Publishing Models to Advance Scholarly Communication, in short: DIAMAS. At the heart of the project is support for Diamond Open Access, i.e. free for the reader as well as the author (no publishing charges). Co-lead of DIAMAS, Pierre Mounier explains the importance of lending support to not-for-profit institutional publishing. Besides the diversity offered by such scholar-led, high quality publication outlets, the multilingualism that they represent is key when the dissemination of knowledge and the promotion of citizen science across Europe is taken into account. The Helsinki Initiative on Multilingualism in Scholarly Publishing lends verbal support to linguistically diverse scholarly outputs; the EU-funded DIAMAS Project paves the way for stronger and more sustainable infrastructures facilitating them. Since its inception in September 2022, the project will last for 3 years. An ultimate goal of DIAMAS is to help the providers of publishing services raise the quality and visibility of diamond open access by establishing a Europe-wide capacity center. A sister project, CRAFT-OA, focusing on the purely technical aspects of institutional diamond open access publishing begins in January 2023. The preliminary Diamond OA Journals Study (published March 2021), the first ever global survey of diamond open access journals, serves as foundation for both projects. The recording was made in conjunction with the Munin Conference on Scholarly Publishing in December 2022. First published online January 10, 2023.
Quality of Educational Services in the Distance Format: Assessment of Moscow Higher Education Institutions’ Students

The sphere of education was one of the first to experience the effects of the COVID-19 pandemic and responded to the introduced restrictions by transferring all educational activities to the distance learning format.The gist of the problem is to preserve the quality of educational services in the transition to the distance learning format.The purpose of the study is to analyze students' assessment of the quality of educational services provided in the distance format by Moscow higher education institutions.The authors report the results of a survey of students from two universities, the Moscow State University of Food Production and the Russian State Social University.The survey sample includes 423 MSUFP students and 350 RSSU students studying in the full-time, part-time, and extramural forms of study.The time frame for the study is March-May 2022.The results obtained show that, according to students, the transition of the higher education system to distance learning during the COVID-19 pandemic was performed quite promptly and efficiently.However, the problem of the implementation of distance learning in teaching university students requires further work on both methods and technological instruments.The research results demonstrate that preservation of the quality of educational services in the transition to distance learning depends on the level of students' learning motivation, their readiness for independent studies, reliable means of communication (computers, laptops, tablets), high-speed communication channels and digital infrastructure of higher education institutions, and much more.The research findings suggest that the main problems faced by students as a result of the transition to distance learning can be classified into two groups.The first group is technical
Do Physical Education Teachers’ Family Income Predict Their Social Communication and Perceived Working Environment?

Making the career choice to join the teaching profession is usually encouraged by intrinsic motives.Although external motives are less important, they are also worth considering.Among the latter, the role of teachers' income in their professional activities has been less studied.This article examines the family income of physical education teachers, along with their social communication and perceived working environment, and presents an analysis of the association between these factors.The study methodology included a cross-sectional questionnaire survey of physical education teachers.The research sample included 310 physical education teachers aged from 18 to 68 years (43.6 % female).It was found that fewer than half of the physical education teachers surveyed considered their family income sufficient.The study findings revealed that teachers' income was related to their social communication: those with less income tended to be openly negative about other people and mutual interaction.It was found that half of the physical education teachers worked under considerable pressure.Additionally, the study results revealed that evaluation of family income was statistically significantly associated with experienced tension at work and perceived working environment.Specifically, more teachers who assessed their income as insufficient indicated that they experienced a large amount of stress at work, and also demonstrated more negative attitudes towards their working environment.
Endovascular navigation with Fiber Optic RealShape technology

Objective: Fiber Optic RealShape (FORS) technology has recently been introduced as an adjunctive guidance technology that allows real-time three-dimensional visualization of dedicated endovascular devices while avoiding radiation exposure. It consists of equipment which sends pulses of light through hair-thin optical fibers that run within a dedicated hydrophilic wire and selective catheters. The purpose of the study was to report the observed benefits and limitations related to the first edition of FORS technology.
An Analysis on the Infant and Child Care Teacher Training System through the Experience of Kindergarten and Day Care Center Managers

From the perspective of training and qualification standards for infant teachers and childcare teachers, this study aims to deal with the overall discussion on improving the training system of infant teachers and childcare teachers by exploring the experiences of kindergarten and daycare center managers for field teachers. As a result of the study, first, both kindergarten and daycare center managers recognized that there was a difference in expertise according to the type of training institution. Teachers with long educational years were considered to be relatively superior in terms of competencies required for work. Second, kindergarten and daycare center managers commonly recognized the difference in competency between early childhood education majors and non-child education majors such as childcare and other child-related departments. Third, both kindergarten and daycare center managers recognized that a lot of improvement was needed in terms of educational practice. Fourth, both kindergarten and daycare center managers pointed out the effectiveness and ineffectiveness of incumbent education at the same time. Fifth, the qualification acquisition path was influencing in the appointment and recruitment process. Based on the analysis results, suggestions can be provided as follows. First, it is desirable to reorganize both the training system for infant teachers and childcare teachers centered on the subject system and to abolish the short-term training system. Second, various improvements should be made in educational practice. Third, incumbent education should be field-friendly. Finally, this study is meaningful in that by analyzing the perception of institutional managers in terms of the training system, the necessity that the training process to secure expertise for each system is needed to change for the unification of childcare center and kindergarten.
An Analysis of the Emerging Online Popular Construct “X刺客”

Some high-priced ice cream stung people’s wallets this summer when they were only discovered at the checkout. The netizens called it “xuegaocike” and many expressions of “Xcike” were born. This paper studies the emerging Internet popular construction “Xcike” from the aspects of construction determination, semantic classification, pragmatics, and causes.BR According to Goldberg’s definition of construction and Chunhong Shi’s general understanding of construction, the meaning and form of “Xcike” cannot be deduced by people’s existing knowledge. At the same time, many forms of “Xcike” also prove that this form has been supplemented and normalized, so this form can be identified as a construction.BR After summarizing, the variable “X” in “Xcike” can be divided into three categories. It also has the process of transforming from grammatical construction to rhetorical construction. “Xcike” expresses the subjective attitude and opinion of the speaker, so the constructional meaning of “Xcike” is expressed in the subjective and evaluative sense. The pragmatic function of “Xcike” is a subjective evaluation function, and the pragmatic effect is also reflected in three aspects: negative, positive and neutral.BR By observing the generation and evolution of the “Xcike” construction, the reasons for the construction are mainly reflected in four aspects: First, construction coercion. Second, memetics. Third, the mechanism of metaphor and metonymy. Fourth, the psychological impact of the public.
Psychological well-being of students in completing their final projects

Psychological well-being is a positive and critical aspect the students must have.However, research to identify individual psychological conditions, especially in completing final projects, is rarely done.For this reason, this study aimed to describe the psychological well-being of students who are completing their final projects.The research method used was a survey.The sample of this research with a sample of 271 students.Researchers utilized students' psychological well-being scales to collect the data.The instrument obtained 32 items considered valid.The data analysis used is descriptive analysis using SPSS 24.The results showed that 32% of students had psychological well-being that tended to be high to very high, 36% had psychological well-being at a moderate level, and 32% had psychological well-being that tended to be low to very low.Individual psychological well-being was described more by personal growth than by the individual's ability to master the environment, autonomy, selfacceptance, purpose in life, and positive relationships with others.