Reviewerly/exHarmony huggingface dataset:
Generating test cases to evaluate and improve processes of safety-critical systems development

DO-178C establishes considerations for developers, installers, and users to design software of embedded equipment in the aviation sector. Organizations must define processes and verify that they help to demonstrate that the DO-178C objectives are satisfied. We propose a test case generation method for process evaluation and improvement. The proposed method consists of an adaptation of the CoFI (Conformance and Fault Injection) approach to generate test cases to processes. Test cases verify if the deployed processes comply with their requirements. We applied the innovative approach to a corrective action process for safety-critical software reviews. The results show that the method is helpful to elicit and analyze unexpected behaviors.
Variant of information and communication infrastructure based on a content-controlled network

Specifics of communication infrastructure based on a content-controlled network are discussed.The purpose is to solve the problem of constructing an information and communication environment that provides data transfer from sources to consumers and allows for the possibility of software reconfiguration.An approach to virtualization of the data transmission medium is developed, based on encapsulation of related components, which makes it possible to consider the data transmission channel as a service or a virtual entity including a transmission medium, a set of hardware and software tools for transforming data flows between different physical environments, hardware and software for controlling transport streams, as well as hardware and software for encoding-decoding content.A distinctive feature of the approach is the use of active data technology (code fragments transmitted over the network and executed on network nodes), which enables the virtual data transmission medium to be considered as a distributed virtual machine, while the virtualization process is controlled by active data.To formalize the approach, multilayer graphs are used and modified to describe not only the network topology, but also the internal structure of nodes based on computing (software or hardware) components and interfaces.Using the proposed approach, a functional diagram of the implementation of a distributed information and communication environment based on a system of virtual machines is developed.Variants of interaction between nodes and distribution of executable code among network nodes in such an environment are considered and analyzed.
Detecting Similarities in Posts Using Vector Space and Matrix

This study discusses the application of two linear algebraic materials, namely vector and matrix spaces. The application of the two materials is related to an article, the writing can be in the form of an article, book, and so on. The writings examined in this study use example sentences made by the author. Two materials of linear algebra, namely the vector space and the matrix are used to analyze whether there is a similarity between the writing made with other writing. As a result, vector space and matrix can be used to detect similarities in a text.
THEORETICAL ASPECTS OF STUDYING THE IMAGE OF THE PRESENTER AS A KEY SEMANTIC UNIT OF TV PROGRAMS

In this paper, the authors analyzed the intellectual game show as a genre, considered television programs, including television game shows, where hosts are creators of the program as well.The authors identified typical behavior patterns of a presenter in front of the camera, the traits manifested by a presenter depending on the program's genre and format.The topic that we have chosen for research is currently quite relevant, since the image of the leader of a certain intellectual game is unique, has distinctive features and certain specificity.The purpose of this paper is to consider the image of a presenter as the key semantic unit of a television program and identify its aspects.To achieve this goal, we were assigned the following tasks: to consider the presenter's image as a key semantic unit of a television program; to reveal the specific features of the images of the leading original intellectual TV games.The research methods used in this paper include observation, analysis and synthesis, comparison, generalization.The novelty of this work lies in the original theoretical and practical analysis and identification of the specific features of the images of the leading intellectual games as a type of television programs.
Analisis Penerapan Metode Algoritma Apriori Untuk Melihat Minat Pengunjung Pada Objek Wisata Kota Palembang

The management of tourist destinations in Palembang City is managed by the Dinas Pariwisata, Tourism in Palembang City is classified into 3 Tourism, namely Nature Tourism, Cultural History Tourism, and Special Interests. However, Dinas Pariwisata has not seen the pattern of interest of visitors from grouped tours. This makes the authors want to determine the patterns of interest of the respondents by distributing questionnaires to 100 respondent. The results show that there are 10 rules established by the WEKA application with a minimum support value of 5% and a minimum confidence value of 50%. The results of the pattern formed are Al-Qur'an Al-akbar, Musi River, and Ampera Bridge with a confidence value of 90%.
Implementation of E-Learning Innovative Technologies in The Process of Studying Foreign Languages by Students of Agrarian Universities

The article reveals the implementation of innovative e-learning technologies in the process of mastering the discipline “Foreign language in the professional direction” by students of agricultural universities. Actual approaches to teaching humanities require the use of information-communication technologies (ICT) for educational purposes, that allows increasing the volume of educational materials and modernizing it with the help of multimedia presentation tools. The application of information-communication technologies contributes to the students’ mastering of foreign languages knowledge as a tool of communication in a global society and the development of their information competencies. Particular attention is paid to the characteristics of the content, structure and objectives of the electronic training course on learning English, German, Ukrainian and Russian as foreign languages for students of the distance learning form of Sumy National Agrarian University. The presented distance learning course is an innovative development exemplar, that provides learners’ study of educational textual, audio and video materials in the mode of independent work with a computer and facilitates regulating the order of interaction of students with a computer. Such interaction contributes to the improvement of the efficiency of the educational process through the introduction of new methods and means of teaching educational materials; stimulates students’ interest in the study of foreign languages through the use of innovative information-communication technologies; responsiveness of the feedback and the possibility of direct consultation with the teacher in the educational environment of the Moodle platform. The analysis of the experimental study results showed predominantly sufficient and high levels of humanitarian knowledge in experimental groups that were trained on the basis of the electronic course in the educational environment of Moodle platform; in contrast to the low and initial levels in the control groups.
The basic arithmetic operations on fuzzy numbers and new approaches to the theory of fuzzy numbers under the classification of space images

Classification in remote sensing is a very difficult procedure, because it involves a lot of steps and data preprocessing. Fuzzy Set Theory plays a very important role in classification problems, because the fuzzy approach can capture the structure of the image. Most concepts are fuzzy in nature. Fuzzy sets allow to deal with uncertain and imprecise data. Many classification problems are formalized by using fuzzy concepts, because crisp classes represent an oversimplification of reality, leading to wrong results of classification. Fuzzy Set Theory is an important mathematical tool to process complex and fuzzy da-ta. This theory is suitable for high resolution remote sensing image classification. Fuzzy sets and fuzzy numbers are used to determine basic probability assignment. Fuzzy numbers are used for detection of the optimal number of clusters in Fuzzy Clustering Methods. Image is modeled as a fuzzy graph, when we represent the dissimilitude between pixels in some classification tasks. Fuzzy sets are also applied in different tasks of processing digital optical images. It was noted, that fuzzy sets play an important role in analysis of results of classification, when different agreement measures between the reference data and final classification are considered. In this work arithmetic operations of fuzzy numbers using alpha-cut method were considered. Addition, subtraction, multiplication, division of fuzzy numbers and square root of fuzzy number were described in this paper. Moreover, it was illustrated examples with different arithmetic operations of fuzzy numbers. Fuzzy Set Theory and fuzzy numbers can be applied for analysis and classification of hyperspectral satellite images, solving ecological tasks, vegetation clas-sification, in remote searching for minerals.
Implementation of the Community Peace and Order and Public Safety Program in Negros Occidental, Philippines

Peace is indivisible and global because it is the foundation of the survival of humanity. Ensuring peace and security of the people is vital in maintaining economic development, social order, and political stability. In the Philippines, the functionality of community peace and order and public safety (POPS) is strictly monitored by the government. This descriptive-comparative study assessed the extent of implementation of the POPS in terms of crime prevention and control, anti-illegal drugs, public safety, and enforcement of ordinances. It also investigated the differences in the implementation of the program when the communities are grouped according to variables. Further, it explored the challenges and suggestions of community leaders. Using a researcher-made survey questionnaire, data were gathered from respondents. Findings revealed a great extent of implementation, but there were significant differences when barangays were grouped into variables. The findings were utilized as bases for an enhanced POPS program.&#x0D;
Cloud security: risk factors and security issues in current trends

Now a days, cloud computing is an emerging and way of computing in computer science. Cloud computing is a set of resources and services that are offered by the network or internet. Cloud computing extends various computing techniques like grid computing, distributed compu-ting. Today cloud computing is used in both industrial, research and academic field. Cloud facilitates its users by providing virtual resources via internet. As the field of cloud computing is spreading the new techniques are developing. This increase in cloud computing environment also increases security challenges for cloud developers. Users of cloud save their data in the cloud hence the lack of security in cloud can lose the user’s trust.In this paper we will discuss some of the cloud security issues in various aspects like multi-tenancy, elasticity, reliability, availability etc in various sectors, the paper also discuss existing security techniques and approaches for a secure cloud environment. This paper will enable researchers and professionals to know about different security threats and models and tools proposed.
Dampak Game Online terhadap Motivasi Belajar dan Keterampilan Komunikasi Interpersonal Mahasiswa Fakultas Ilmu Komunikasi Universitas Sumatera Selatan

Communication is a social event that occurs when a human interacts with other humans. The assumptions that there is motivation to learn can be seen with the achievements and cognitive perspectives of students, both elementary school students or college students. The problem of learning motivation in students today is increasingly complex, including online game opium which develops in the dynamics of our society, especiallyIndonesia. This research method is descriptive qualitative. Based on the results of the study it can be concluded (1) There is a positive impact of playing online games on learning motivation. Can be seen from the efforts to increase learning motivation. The cumulative grade point average (GPA) is very satisfying to perfect. (2) There is a positive impact of online games on interpersonal communication skills. Can be seen from the interaction between players in the online game play. Online media-based interpersonal interaction and communication, online games. (3) There is a positive impact of playing online games on learning motivation and interpersonal communication skills. Students who like to play online games have motivation to go to college. This can be seen from the cumulative achievement index (GPA) which is very satisfying to perfect. These students can interact, socialize and communicate well through online game media.
Anagram Game to Teach Vocabulary Mastery for Islamic Junior High School Students

This research has investigated the students’ vocabulary mastery using Anagram for the Islamic Junior High School students in Padangsidimpuan. It was done through experimental method with pre-test and post-test design, with multiple choice test. There was 39 students as experimental class as the sample of this research, and mean-score was used to analysis the data in this research. After getting the data, the mean score of pre-test result is 51.72 and after using Anagram became 62.09. It can be said that anagram game has given good effect to the students’ vocabulary mastery of the VII grade students of the Islamic Junior high school students.
Kajian Validasi Data Global Satellite Mapping of Precipitation (GSMaP) di Bengkulu

The rainfall observation data is hard then we need other option to obtain the data which is easier and more accurate. One of methods to obtain rainfall data is using remote sensing. GSMaP is one among products produces by remote sensing which is able to obtaining rainfall data using satellite. The aim of this study is to validate the rainfall data using GSMaP to the rainfall observation data in Bengkulu for 2012-2015. The method used is processing GSMaP data into monthly data then comparing it with in situ data. In addition, there's processing data with statistical test. Based on the results, the correlation between GSMaP data and observation data is in range of 0,4 to 0,89. It shows that GSMaP data is quite valid to be used to fill incomplete rainfall data in Bengkulu, but it has not been able to intrepret value close to underforecast data.
The Imitation Game: Algorithm Selection by Exploiting Black-Box Recommenders

Cross-validation is commonly used to select the recommendation algorithms that will generalize best on yet unknown data. Yet, in many situations the available dataset used for cross-validation is scarce and the selected algorithm might not be the best suited for the unknown data. In contrast, established companies have a large amount of data available to select and tune their recommender algorithms, which therefore should generalize better. These companies often make their recommender systems available as black-boxes, i.e., users query the recommender through an API or a browser. This paper proposes RecRank, a technique that exploits a black-box recommender system, in addition to classic cross-validation. RecRank employs graph similarity measures to compute a distance between the output recommendations of the black-box and of the considered algorithms. We empirically show that RecRank provides a substantial improvement (33%) for the selection of algorithms for the MovieLens dataset, in comparison with standalone cross-validation.
EFFECT OF FINANCIAL KNOWLEDGE AND SKILLS ON THE FINANCIAL SUSTAINABILITY OF AFFIRMATIVE GROUPS IN KAPSERET SUB COUNTY

The government has the responsibility to alleviate poverty and empower the deprived women, youth and persons with disability in accessing loan facilities and starting their own income generating activities.The affirmative groups introduced by the government of Kenya include the youth enterprise fund, women enterprise fund and uwezo fund.Financial sustainability of affirmative groups is important as it determines the sustainability of the funds.The current study sought to determine the effect of financial knowledge and skills on the financial sustainability of affirmative groups.The study considered the Grameen bank model and resource based theory theories to underpin the study.A cross sectional research design was adopted.The target population is 400 affirmative funded groups.The sample size is 200 affirmative funded groups.Stratified random sampling and simple random sampling were used to select the respondents.Primary data was collected using structured questionnaires.Content validity and internal consistency reliability was adopted.Data analyzed was presented using descriptive statistics and inferential statistics.The study findings indicated that financial knowledge and skills has a positive and significant effect on financial sustainability of affirmative groups in Kapseret Subcounty, Uasin Gishu.This study recommends that the management of the affirmative groups to ensure that financial skills and knowledge is paramount in to enhance financial sustainability among affirmative groups.The study will be of great benefit to policy makers of Kapseret sub county government in development of policies on financial sustainability of affirmative groups.
Students’ Problem in Using English E-Learning in SMP Katolik 1 WR.Soepratman Samarinda

This study intended to find out problems encountered by students when learning English through e-learning. This research is to find out what problems faced by students when learning English through E-Learning which is identified through a questionnaire distributed via Google forms to the students. The sample of this research was 86 students of the third-grade students of SMP Katolik 1 WR. In this study, the researcher computed the data used frequency distribution analysis to determine the percentage of the tendency of student's problems in internal or external factors when using e-learning in English learning.&#x0D; Both in terms of internal and external factors, each part is interrelated. The problem that happened with the teachers, then to the students, and eventually impacts the learning system which makes ineffective e-learning in the school, they are affecting each other and create a domino effect.
Distilling Structure from Imagery:Graph-based Models for the Interpretation of Document Images

From its early stages, the community of Pattern Recognition and Computer Vision has considered the importance of leveraging the structural information when understanding images. Usually, graphs have been proposed as a suitable model to represent this kind of information due to their flexibility and representational power able to codify both, the components, objects, or entities and their pairwise relationship. Even though graphs have been successfully applied to a huge variety of tasks, as a result of their symbolic and relational nature, graphs have always suffered from some limitations compared to statistical approaches. Indeed, some trivial mathematical operations do not have an equivalence in the graph domain. For instance, in the core of many pattern recognition applications, there is a need to compare two objects. This operation, which is trivial when considering feature vectors defined in ℝn, is not properly defined for graphs. In this thesis, we have investigated the importance of the structural information from two perspectives, the traditional graph-based methods and the new advances on Geometric Deep Learning. On the one hand, we explore the problem of defining a graph representation and how to deal with it on a large scale and noisy scenario. On the other hand, Graph Neural Networks are proposed to first redefine a Graph Edit Distance methodologies as a metric learning problem, and second, to apply them in a real use case scenario for the detection of repetitive patterns which define tables in invoice documents. As experimental framework, we have validated the different methodological contributions in the domain of Document Image Analysis and Recognition.
Examining Education Students’ Preference for Reading Medium, Resource and Time

The chief purpose of this research article is to examine the Bachelor of Education students’ preferred reading medium, resource and time for their academic purpose. It is based on the cross sectional survey carried out at Makawanpur Multiple Campus, Nepal across the boy and girl students in 2020. The simple random sampling technique, especially lottery method was applied to select 126 students from the population of 185 students. The researcher used a questionnaire regarding the students’ preference and reasons for reading medium, resource and time. The percent statistics show that 70.6% students preferred the print medium and 29.4% students preferred the print medium. The students who preferred teachers’ hand-outs, text books, guide books and solution books were 42.2%, 19.8%, 19.0% and 19.0% respectively. The students who preferred morning time, day time and evening time were 61.1%, 23.8% and 15.1% respectively. The chi-square test of independence between sex and preferred reading medium [ χ2 (1) = 2.391, critical value = 3.841 and p (.122) &gt; .05]; between sex and preferred reading resource [ χ2 (3) = 2.595, critical value = 7.815 and p (.458) &gt; .05]; and between sex and preferred reading time [ χ2 (2) = .620, critical value = 5.991 and p (.733) &gt; .05] show that there was no statistically significant association between sex and preferred reading medium, resource and time.
Implementation of Simple Additive Weighting (SAW) Method To Determine Exemplary PKH Social Worker (Case Study: PPKH Garut Regency)

One measure of the success of an employee in carrying out his job is his election as an exemplary employee in the agency where he works. The selection must of course be based on standard measurement and objective assessment, the goal is that the predetermined results can be justified. A decision support system using the Simple Additive Weighting (SAW) method can help PPKH Garut regency in determining exemplary PKH socialworker in each sub-district PPKH unit, this method will look for weight values for each predetermined criterion consisting of quantity, integrity, dedication, reliability, initiative, diligence, attitude, motivation and presence. The data sample taken in this research was PPKH X Sub-distric, where the results of the research are in the form of a ranking that can support the decision to choose an exemplary PKH social worker in PPKH Garut Regency&#x0D; &#x0D;
Meningkatkan Keaktifan dan Hasil Belajar Melalui Penerapan Model Pembelajaran Wide Game pada Peserta Didik Kelas VIID SMP Negeri 13 Tegal

The purpose of this study is to increase the activeness and learning outcomes of students through the Wide Game learning model in economic activity material. This research method using descriptive method. The subjects in this study were 31 students of class VIID SMP Negeri 13 Tegal. The research instrument used a questionnaire and data analysis techniques using descriptive analysis. The results of this study indicate that there is an increase in the activeness and learning outcomes of students through the Wide Game learning model in economic activity material. This is evidenced by the data in the first cycle with an average value of 70.97 and those who completed 58.04% increased the average value of 81.23 and those who completed were 87.10% in the second cycle. This increase is also accompanied by changes in behavior, students are more active, and respect others in doing tasks.