Reviewerly/exHarmony huggingface dataset:
Self-Efficacy and Political Deviant Behaviour in the Cameroonian Public Service

This paper investigates the relationship between self-efficacy and deviant behaviour at work by cameroonian civil servants. The problem raised by this research is that of the practice of deviant political behavior at work by public officials in Cameroon. According to Robinson &amp; Bennett (1997), this is administrative gossip; administrative favoritism, spreading rumors and blaming colleagues and / or users unnecessarily and without reason. The objective of this research is to show that a self-efficient employee does not practice deviant political behaviors at work. Such an objective is part of the research axis of the psychological and developmental sciences, precisely in the field of organizational and occupationnal psychology. The data collection method is the survey and the tool is the questionnary in the form of measurement scales. Simple random sampling yielded the sample of 500 participants. The self-efficacy scale is that of Sherer and Coll (2005) translated and adapted by Chambon (2013) and the deviance scale is that of Bennett and Robinson (2000). Data collection took place in Yaoundé and the analysis was descriptive and regressive. 70% of the participants in this research believe that the practice of deviant political behavior is a reality in public service Cameroon. HRI: β = 0.25; HR2: β = 0.21; HR3: β =0.22: these results show that the three hypotheses are not validated. P = 0.000 the hypothesis is significant. Our regression result based on data collected on a sample of 500 civil servants shows that a self-efficient employee can produce deviant political behavior at work. A self-efficient employee can also produce deviant political behavior at work.
Clustering of Learners based on Readiness to Online Modality using K-Means Algorithm

Clustering is one of the important techniques in data mining.It is an unsupervised task of grouping similar data.It has been applied in various fields with high degree of success.This study aimed to determine the learner segments based on readiness to online learning modality using K-means algorithm.A dataset was collected, tabulated and pre-processed.Further, the values were scaled and transformed using t-distributed Stochastic Neighbor Embedding.Using elbow method and determining the silhouette score, the best K value was determined.Then clustering was conducted using the selected number of clusters.Results revealed three groups of learners; Moderate-signal mobile users, Low-signal mobile users, and mixed group of Low/moderate-signal mobile/broadband users.Students from the different clusters are more suited for flexible learning as opposed to online learning.Varied learning modalities can be catered for students from the different learner segments.Formulation and adoption of new policies are needed to offset the effect of the pandemic towards the students.
Reliable label bootstrapping for semi-supervised learning

Reducing the amount of labels required to train convolutional neural networks without performance degradation is key to effectively reduce human annotation efforts. We propose Reliable Label Bootstrapping (ReLaB), an unsupervised preprossessing algorithm which improves the performance of semi-supervised algorithms in extremely low supervision settings. Given a dataset with few labeled samples, we first learn meaningful self-supervised, latent features for the data. Second, a label propagation algorithm propagates the known labels on the unsupervised features, effectively labeling the full dataset in an automatic fashion. Third, we select a subset of correctly labeled (reliable) samples using a label noise detection algorithm. Finally, we train a semi-supervised algorithm on the extended subset. We show that the selection of the network architecture and the self-supervised algorithm are important factors to achieve successful label propagation and demonstrate that ReLaB substantially improves semi-supervised learning in scenarios of very limited supervision on image classification benchmarks such as CIFAR-10, CIFAR-100 and mini-ImageNet. We reach average error rates of 22.34 with 1 random labeled sample per class on CIFAR-10 and lower this error to 8.46 when the labeled sample in each class is highly representative. Our work is fully reproducible: https://github.com/PaulAlbert31/ReLaB.
Vocational Guidance Work With Schoolchildren is an Integral Part of the Work of a Multi-Profile Accreditation and Simulation Center

Professional orientation is a generalized concept of one of the components of universal human culture, manifested in the form of society's concern for the professional development of the younger generation, support and development of natural talents, as well as a set of special measures to assist a person in professional self-determination and choosing the optimal type of employment, taking into account his needs and opportunities, socio-economic situation in the labor market. Simulation training is one of the brightest forms of vocational guidance work with schoolchildren.
تأثير وسائل عجلة الذكية على قدرة الطلاب لإجابة تدريبات مهارة القراءة

The reason for students' poor ability to read is the monotony of teacher teaching methods and the lack of tools used to make children more enthusiastic in learning, especially in the skill of reading. The researcher was interested in conducting research on the effect of smart wheel methods on students ’ability to answer skill exercises. The results of the study show that the experimental class has a mean value in the pre-test 63,43 and the prescriptive class 64.91. The post-test of the pilot class 78.87 and the control class has 75,35. The basis for taking the hypothesis test in this paper is to use an independent t-sample test: if the value of r is a number greater than the r table, Ha is accepted and rejected. Similarly, if the significance value is 2-tailed&gt; of 0.05. The formula for testing the hypothesis in this study is independent samples t-test and the results show that r value (2,460) &lt;2,015. Whereas the significance value is 0.05 &lt;0.018. Therefore, it can be concluded that the smart wheel methods are influenced by the students' ability to answer the seventh grade reading skills exercises in the Curlico Middle School in the 2019/2020 year of study.
Academic foreign language communication environment in school textbooks

The active acquisition of foreign language communication in different types of activities in accordance with the spheres, topics, and language input outlined by the current curriculum. Its implementation in the content of school foreign languages textbooks allows improving the academic process and directing it to competency-based principles. The authors interpret this category at the level of complex and interrelating activities of two subjects of the academic process: a learner and a teacher. It is defined as a kind of academic space, which provides holistic acquisition of the academic content, allows learners to show their abilities, motivates their foreign language activities, enables them to learn the native speakers' culture, promotes their education, development, and upbringing. According to the results of the study, the authors create a model of the academic foreignlanguage communication environment and propose to implement it in the content of school foreign languages textbooks. The results of conducted quantitative research prove that the academic foreign language communication environment created by the secondary school textbook content enhances the learners' progress motivates academic activities, allows the teacher to successfully implement the prognostic tasks, and shows his own professional experience.
Transforming Paradigm of Artificial Intelligence for Scalable Clinical Healthcare

Artificial intelligence becomes useful technology with enormous capacity and performance. Although it’s based on theoretical construct having extensive processing power for larger datasets. AI & machine learning algorithms strengthen the medical research and revolutionized the healthcare sector. In AI based system, prediction models are developed to identify key variables in any input datasets. Although, accuracy in the clinical healthcare is the major challenge for computer-based diagnosis and treatment process. Therefore, substantial improvement required for clinical identification due to risk associated with clinical complexity of the disease.
TRAINING OF SPECIALISTS IN THE FIELD OF DOCUMENTATION MANAGEMENT AND INFORMATION ACTIVITY: HISTORICAL PREREQUISITES AND PROSPECTS

The article considers the historical preconditions and prospects of professional training of specialists in the field of documentation management and information activities. The modern system of management documentation was preceded by a long period of development and formation associated with changes in socio-economic and socio-political conditions, the relevant historical forms of organization of management processes and its documentation. In turn, the complexity of record-keeping and document-making processes, the development of the document-information market formed the requirements for a document-specialist who would have a universal modern education: possessed knowledge, skills in document science and information activities, and skillfully operated in practice acquired management competencies . The formation of a modern system of documentation management and training of specialists in the relevant field in Ukraine took place in line with the general historical processes of development of our state. &#x0D; The peculiarities of educational programs of higher education institutions that train applicants in the specialty 029 «Information, library and archival affairs» are analyzed. It is noted that the analysis of educational programs of higher education institutions in the capital and the region shows that modern freelance students receive quality knowledge through clear new educational programs, innovative technologies, open access to information via the Internet and social institutions - libraries and archives. Future professionals are trained to work with information through new electronic tools, banks and databases. The introduction of electronic document management, the experience of leading countries, new technologies significantly increases professional requirements, encourages constant updating and improving the training of Ukrainian document specialists. &#x0D; In the conclusions it is generalized that document science as a science and as an academic discipline was initiated in the process of development of two branches of practical activity - office work and archival business, within which the logical development of the theory directly depended on practice; at all stages of the transformation of their historical path was directly dependent on the socio-economic demands of society and the improvement of the management segment of document science; The need for highly qualified specialists in the field of document science in the modern labor market is constantly growing, which explains the large number of free economic zones in which high-quality training of document specialists in unique educational programs.
THE HYBRID GLOBAL OPTIMIZATION ALGORITHM ON THE BASIS OF A FIREWORKS ALGORITHM

The article shows the composition of the developed hybrid optimization algorithm, as well as the method and results of testing operation.The new algorithm was inspired by the Fireworks Algorithm and the general principle of operation of Evolutionary Algorithms.The goal of developing a new computational solution was to minimize the number of necessary calls to the objective function to reach the global minimum with the desired accuracy.The corresponding cases compared the results obtained for various test functions of two or more variables.
DECISION TREE DALAM MENGKLASIFIKASI MATA KULIAH TERHADAP PEMAHAMAN SISTEM PEMASARAN

With the proliferation of applications that support the buying and selling process or better known as e-commerce, and currently online buying and selling is a trend among students, and also a source of income that can be done in spare time, therefore to be able to increase the results of using e-commerce. -commerce required an understanding of the marketing system. In this study, research was conducted on what subjects were taught to students at the Fakultas Teknik dan Ilmu Komputer, Universitas Muhammadiyah Pekajangan Pekalongan which would help in understanding the marketing system. The C4.5 classification algorithm is used to build a decision tree that will make it easier to see courses that can be used to understand the marketing system. After the analysis, the subjects of entrepreneurship, management information systems, design analysis and information systems, data communication and computer networks, computer organization and algorithms and structured programming can be used to gain an understanding of marketing systems.
SISTEM INFORMASI PEMBAYARAN UANG SEKOLAH DENGAN MODEL MVC DAN MENGGUNAKAN NOTIFIKASI SMS GATEWAY

The Tuition Payment Information System was designed because at this time the payment of tuition at SMP Islam Cilacap still uses the general ledger, causing inaccuracies in payment data by employees (administrative). The purpose of this research is to help solve problems in the processing of tuition payment data, making payment data reports, searching payment data, knowing payment data information, and knowing the school money payment report. The system is designed using MVC (Model-View-Controller) architecture and SMS Gateway notifications as well as system development methods using System Development Life Cycle (SDLC) with Waterfall model. In addition, the system design uses PHP and HTML programming languages, database management is MySQL and uses the Laravel framework. Based on the results of the system test and the results of the questionnaire by 10 respondents that 14% stated enough, 44% stated well and 42% stated very well calculated by the calculation of the Likert scale of 86% entered the excellent qualification which means successful. So it can be concluded that this system can solve existing problems by facilitating the processing of payment data, assisting in the creation of school money payment reports, helping in speeding up the search for payment data, knowing the payment information of tuition without having to come to school, and knowing the payment data report quickly without having to go through a long recap process.
PENCARIAN TEMA SEJENIS SINOPSIS NOVEL BAHASA INDONESIA DENGAN MENGGUNAKAN GVSM

The main purpose of this research is to help provide relevant document information to make it easier to find novels and find out more about the contents of a novel.The output of the system being built is a list of synopsis of Indonesian novels along with relevant novel titles according to the entered keywords.The data set used in this study is a synopsis of Indonesian novels obtained by crawling and is already in the form of document text.The dataset may be more than 1500 records.The next dataset is pre-processed which includes case folding, tokenizing, filtering and stemming.The weighting process is carried out using the Generalized Vector Space Model method, while the classification process is carried out using the Naïve Bayes Classifier method.System testing is carried out using 300 test data, with details of 150 test data for searching and 150 for classification testing.The results of the system are made in the form of ranking the relevant documents based on the order of the cosine similarity values and display the classification results of the novel synopsis.The search system testing performed resulted in a recall value of 90% and accuracy of 85%, while the classification test resulted in an accuracy value of up to 86%.
Integrity and Authenticity of Digital Images by Digital Forensic Analysis of Metadata

Abstract—During various court hearings, the thesis that every authentic digital file has precise metadata of its creation date was questioned.In this way, the problem was raised which indicates, if the metadata of a digital file (Image) whose label records the date of creation by the recording device of a digital image file are accurate and reliable.For this reason, during the forensic analysis carried out in this work, a record of the metadata of five (05) digital image files from known sources is shown and where their characteristics have been detailed, in addition a record of the metadata of the images used that were later manipulated with image editing software with which metadata comparisons were made to show the labels that suffered modifications in their content.Finally, the obtaining of HASH code with the SHA - 256 algorithm is shown, for digital assurance, of the edited and original files whose comparison allows observing the changes in the content at a binary level. Keywords—Crime; Cybercrime; Digital Image; HASH; Metadata
Solar Power-Based Thermo Electric Cooler (TEC) System

Solar energy has been considered as a promising renewable energy source for electric power generation. Solar panel systems have become a popular object to be developed by researchers, but the low efficiency of solar panels in energy conversion is one of the weaknesses of this system. Factors that affect the output produced by solar panels are the intensity of sunlight and the working temperature of the solar panels. The solar panel module has a single operating point where the voltage and current outputs produce the maximum power output. There are three main methods in Maximum Power Point Tracking (MPPT), namely conventional methods, artificial intelligence methods, and hybrid methods. In most solar panel systems, this study uses Maximum Power Point Tracking (MPPT) with perturb and observe algorithms to maximize the use of solar energy. The maximum power point extracted by MPPT will be supplied to the battery and controlled by the Charge Controller. The energy stored in the battery will be used by the Thermo Electric Cooler cooling system to reach the desired temperature point using the keypad as temperature input.
Service Robots Usage in Marketing Hospitality in China

Since the coronavirus disease 2019(COVID-19) has had brought severe impact on all aspects of the world. A series of interpersonal distancing methods such as ensuring effective and safe social distancing among people, wearing masks, and traffic lockdown measures are also continuing to take effect to curb the continuing outbreak of the COVID-19 (“Advice for the public on COVID-19”, 2020). In response to the globally spread of COVID-19, many advanced technologies in the field of Artificial Intelligence (AI) were applied rapidly and played an essential role in the operation for several months. There are many different leading technology categories in the field of artificial intelligence and many different sub-categories within each main technology categories. Moreover, since the AGI technology does not yet reach the basic human intelligence level, this study will focus on the impact of service robots, which are already widely used in the NAI application category, on hospitality marketing in the current situation in China. In this paper the aim is to assess the effectiveness of use of service robots in Marketing Hospitality Industry during the pandemic through a quantitative study.
Signal denoising of viral particle in wide-field photon scattering parametric images using deep learning

Polarization parametric indirect microscopic imaging (PIMI) can obtain anisotropic nanoscale structural information of the sample by utilizing a polarization modulated illumination scheme and fitting the far-field variation of polarization states of the scattered photons. The rich scattering information of PIMI images can be exploited for identification of viral particles, aiming for early infection screening of viruses. Accurate processing and analysis of PIMI results is an important step for obtaining structural feature information of virus. However, the systematic noise, mainly caused by the mechanical or electrical disturbance from the modulation of the illumination when taking raw images, fairly degrades the image resolution and contrast, making the analysis of results more time-consuming with higher error rate. To achieve efficient noise suppressing in the obtained PIMI images, we developed a neural network-based framework of algorithms. A fairly effective denoising method particularly for PIMI imaging was proposed based on a U-Net. From both the numerical and experimental results, the developed method significantly improves the quality of PIMI images with the best capability of noise removal compared with the traditional denoising algorithms and other neural network architecture. This method can be employed as a fixed preprocessing procedure of raw PIMI images, which is greatly helpful to realize rapid, accurate and programmed analysis of results in PIMI applications.
GRAPHIC DESIGN IN FUTURE LABOR EDUCATION TEACHER’S COMPUTER CULTURE FORMATION

The article considers the issues of modern graphic design of Ukraine from the perspectives of national orientation. The development of graphic design in Ukraine and the influence of regional factors on the peculiarities of its formation are highlighted. The absence of a general model of Ukrainian graphic design and the possibility of its development prospects is proved. The experience of introduction of graphic design in the process of future teachers’ computer culture formation is described. The role of graphic design tools in the formation of future labor education teacher’s computer culture is clarified. The basic principles of graphic design and its features as a tool of future labor education teacher’s professional activity are outlined. The peculiarities of computer culture formation using graphic design are substantiated. The means of graphic design, which form the future labor education teacher’s computer culture, are analyzed.&#x0D; The concept of graphic activity is considered as a component of design and emphasis is placed on the importance of such activity while making design. The current stage of future labor education teacher’s computer culture formation using graphic design is characterized. The role of computer training and knowledge of the relevant software packages is considered. The place of computer competence within future labor education teacher’s general professional competence is determined. The means of graphic design which are used in the process of future labor education teacher’s computer competence formation are allocated, their features are revealed, their efficiency and advantages of application at various stages of training are defined. Basic knowledge, skills, and abilities in the field of future labor education teacher’s computer culture formation are systematized.
Komputerisasi Pendataan Presensi pada SMK Sasmita Jaya 2 Pamulang dengan Metode Prototype

Attendance data collection can be said to be a very crucial activity because with all information about the presence of students at an educational institution can make it easier for teachers in the decision-making stage during the assessment process for students, but the attendance data collection which is carried out conventionally is actually faced with various kinds of problems that where some of them are the amount of time required in conventional attendance data collection and the high risk of damage to the attendance data sheet that applies paper as the main medium. Based on these problems, computerization of the attendance data collection process is deemed necessary. The attendance data collection system developed using the prototype. By using this prototype method, the main functions of the system will be developed first. If it is correct, then proceed with the other supporting parts. The attendance data collection system developed can be an appropriate system in solving all kinds of problems encountered in conventional attendance data collection activities. And to meet the satisfaction criteria from the user side, which in this context are the teachers at SMK Sasmita Jaya 2 Pamulang.