Reviewerly/exHarmony huggingface dataset:
Literature Is Important To Understand Learning Nutritional Levels To Increase Kindergarten School Children's Thinking Power

The purpose of this study was to find out how much nutrition is owned by children in TK NURUL ATHFAL school, the method used is learning using powerpoint media in the form of pictures. Teaching students are required to listen, dare to ask and answer questions that have been given to the teacher, and conduct joint discussions. Parents were given a pretest via Google from before the learning activity started and a posttest after the learning activity. The understanding and success of the student learning process that filled out the parents of the students with 20 pretest and posttest questions. The learning was carried out by 30 students at the NURUL ATHFAL Kindergarten school in the city of East Jakarta, Indonesia, this learning process was carried out online using the zoom meeting media. The results of this study showed that students can know healthy food and balanced nutrition. This is evidenced by the increase in the pretest and posttest by 20 questions to parents, some students who have more good nutrition than poor nutrition. this shows that learning is successful because the material that the teacher gives to students can be very understanding and active in learning because it can attract students' interest by using media songs that stimulate student interest, although in the posttest and pretest sections that are filled in by the parents of students there are less This research can provide information that parents already understand nutritional levels to improve the thinking power of school children and parents who fill out the questionnaire will seek to understand nutritional levels in depth and will try to apply them to their children in detail.
Parallelizing Image Processing Algorithms for Face Recognition on Multicore Platforms

A good face detection system should have the ability to identify objects with varying degrees of illumination and orientation.It should also be able to respond to all the possible variations in the image.The image of the face depends on the relative camera face pose such as the nose and one eye.The appearance of a face is directly influenced by the facial expression of a person and partially occluded by objects around it.One of the most important and necessary conditions for face recognition is to exclude the background of reliable face classification techniques.However, the face can appear in complex backgrounds and different positions.The face recognition system can mistake some areas of the background for faces.This paper solves some face recognition problems including segmenting, extracting and identifying facial features that are thought to face from the background.
Joint Chance Constrained Probabilistic Simple Temporal Networks via Column Generation (Extended Abstract)

Probabilistic Simple Temporal Networks (PSTN) are used to represent scheduling problems under uncertainty. In a temporal network that is Strongly Controllable (SC) there exists a concrete schedule that is robust to any uncertainty. We solve the problem of determining Chance Constrained PSTN SC as a Joint Chance Constrained optimisation problem via column generation, lifting the usual assumptions of independence and Boole's inequality typically leveraged in PSTN literature. Our approach offers on average a 10 times reduction in cost versus previous methods.
Hard technologies and soft skills for training the professionals of the future

Higher Education Institutions have been subjected for several decades to tensions generated by a series of challenges of a social, political, economic, and technological nature.Although the concept of "University" emerged almost a millennium ago, the current model dates back a couple of centuries and, in Argentina, from the 1918 Reform.However, today that model is in crisis, and it is pertinent to analyze which are the current challenges and how to face them in order to keep the university institution relevant in modern society.T his article will analyze in detail what these challenges are and how to face them based on relevant methodologies and appropriate technologies.
Natural language and formal methods

Philosophical problems concerning language are as old as the philosophy itself. The works of Frege, Russell and Tarski brought the philosophy of language closer to modern logic. Formal methods found in logic together with structural analysis of the natural languages we owe to the work of Chomsky and his school form the backbone of formal semantics, fertile discipline that has significantly improved our understanding of the mechanisms on which natural languages rest. We will discuss whether and to what extent formal methods have been incorporated in the modern philosophy of language, as well as the possible reasons that led to it.
The Use of Semantic Mapping to Improve The Students’ Vocabulary in Seventh Grade Students of SMP NU Sabilunnaja Babat

This study aims to determine how semantic mapping can increase students' vocabulary in seventh grade students of SMP NU Sabilunnaja Babat. The method used in this research was the classroom action research (CAR). The instruments used in collecting data were tests and observation sheets. Based on the data that score, the result of calculation based on formula shown result average preliminary test were 61. The resulting test of Cycle 1 was 71, and the last Cycle was 86. The score of average on every Cycle is reached to criteria of success. Using semantic mapping can improve the seventh-grade students of SMP NU Sabilunnaja. The result of observation in Cycle 1 with 24 students they are 19 (79,16%) students be active and 5 (20,83%) students passive, and the result of observation in Cycle 2 was 22 (91,66%) students active than 2 (8,33) students passive. This study concluded that semantic mapping could teach vocabulary. The researcher suggests to the teachers that teaching vocabulary can use semantic mapping.&#x0D; Keywords: Vocabulary, semantic mapping
Pengembangan Bahan Ajar Menulis Teks Cerita Rakyat Berbasis Sosiokultural pada Mata Pelajaran Bahasa Indonesia Kelas X SMA

This study is a type of Research And Development (R&amp;D) that refers to the steps of the research and development model and Gall (1983:772). It was limited from ten steps to five steps that include preliminary studies, product design planning, product development, validation tests by expert lecturers and product revisions. The instrument used in the study was the form of an assessment scale to determine the feasibility of the module and its validity, by using a Likert Scale and arranged in the questionnaire. The data analysis was carried out by collecting qualitative and quantitative data from material experts and design experts. The results of the study on the development of teaching materials for writing sociocultural-based folklore texts indicated that the module product is feasible to be used as learning material. It is based on the assessment score obtained through the assessment score from the material expert 1 is 141 or as 81% with the Very Eligible criteria, the assessment score from the material expert 2 is 132 or as 75% with the Eligible criteria, the assessment score from the design expert 1 is 83 or as 83% with the Very Eligible criteria, and the assessment score from design expert 2 is 100 or as 100% with the Very Eligible criteria. Based on the validaton results of material experts and design experts, it can be concluded that teaching materials for writing folklore texts based on sociocultural are very feasible to be used as teaching materials.
PENGGUNAAN N-MERS FREQUENCY DAN ALGORITMA AGNES UNTUK PEMBENTUKAN POHON FILOGENETIK PADA VIRUS MEMATIKAN

Every organism has DNA (deoxyribonucleic acid) which carries genetic information. One of the methods for analyzing strings of DNA sequences is n-mers frequency. It is a data mining method on strings of DNA sequences that is converted into numerical data. We studied 13 deadly viruses, consisting of Rabies, HIV, Ebola, Smallpox, Marburg, Herpes B, Lujo, Avian Influenza, Spanish Flu H1N1, Dengue, HPV, SARS-CoV, and SARS-CoV-2. This study aims to establish the phylogenetic tree and find out the genetic relationship of the deadly viruses. The first method we used are collecting viral DNA sequences from the NCBI database. Afterward, the strings of DNA sequences were converted into numerical data using the n-mers frequency. After that, the dissimilarity matrix was calculated and the phylogenetic tree was established using the AGNES algorithm. Based on the phylogenetic tree, the aforementioned 13 viruses were classified into three clusters, namely cluster 1 from the realm Riboviria, cluster 2 from the realm Duplodnaviria and cluster 3 from the realm Varidnaviria. The clustering results of 13 viruses are valid because each virus is clustered based on its taxon. In addition, viruses that have the closest genetic relationship are grouped first, while viruses that have the distant genetic relationship are grouped later.
Pendampingan Pembuatan Proposal Riset Menuju LKIR di MAN 2 Kota Probolinggo

The purpose of this community service activity is to provide assistance in making research proposals for scientific papers that will be included in the MYRES competition. The research proposals that have been collected will be selected based on several components, such as aspects of the originality of the idea, the novelty of the idea, the relevance of the theory and theoretical studies used, research methods, benefits for the wider community, as well as coherence and writing techniques. The method of implementing this community service activity is advocacy, which consists of the stages of planning, implementing and evaluating. There are three areas of research, namely the field of mathematical science and technology development; social and humanitarian spheres (social and humanities); and the field of religious science. Based on the evaluation of the implementation results, from 11 classes, 115 proposal titles were collected submitted by the group of students who were prospective participants in the competition and will be selected into the best 40 to be included in the competition. Furthermore, the team selected the proposal into 6 best titles that will be funded by madrasahs as a product of research including the best 2 each in each field of MYRES.
COVID-19, Cryptocurrency Bubble and Cryptocurrency Market Efficiency in The World

This study examines the effects of the epidemic and the price bubble on the effectiveness of the cryptocurrency market. In this Research, We collect the daily closing price of 5 cryptocurrencies from https://coinmarketcap.com/. The data was taken from 01 September 2017 to 14 December 2021 with a total data or sample of 1231 daily data from each currency or a total of 6155 samples from a total of all tested currencies. The five cryptocurrencies are Litecoin (LTC), Cardano (ADA), Ethereum (ETH), Ripple (XRP), and Bitcoin (BTC). To measure market inefficiency we use magnitude market inefficiency (MIM) and the study by Le Tran and Leirvik (2019) is used to establish the adjusted magnitude of market inefficiency (AMIM). In this study AMIMt is calculated on a daily frequency by using the daily closing price as the basis for calculation.We found that the three periods of the cryptocurrency bubble in the cryptocurrency market occurred in late 2017, early 2018, and July 2020. The cryptocurrency financial bubble had a lesser impact than the announcement of a worldwide pandemic being declared for COVID-19 on March 11, 2020. It is very likely that a bubble will occur during July 2020 related to the declaration that COVID-19 is a pandemic of global scope.
The Role of Social Engineering in Cybersecurity and Its Impact

An attacker has several options for breaking through an organization's information security protections.Human factors are determined to be the source of some of the worst cyber-attacks every day in every business.The human method, often known as "social engineering", is the hardest to cope with.This paper examines many types of social engineering.The aim of this study was to ascertain the level of awareness of social engineering, provide appropriate solutions to problems to reduce those engineering risks, and avoid obstacles that could prevent increasing awareness of the dangers of social engineering-Shaqra University (Kingdom of Saudi Arabia).A questionnaire was developed and surveyed 508 employees working at different organizations.The overall Cronbach's alpha was 0.756, which very good value, the correlation coefficient between each of the items is statistically significant at 0.01 level.The study showed that 63.4% of the surveyed sample had no idea about social engineering.67.3% of the total samples had no idea about social engineering threats.42.1% have a weak knowledge of social engineering and only 7.5% of the sample had a good knowledge of social engineering.64.7% of the male did not know what social engineering is.68.0% of the administrators did not know what social engineering is.Employees who did not take courses showed statistically significant differences.
ANALISIS KESALAHAN KEBAHASAAN PADA BUKU TEMATIK TEMA 5 PAHLAWANKU KELAS IV SEKOLAH DASAR

This study aims to describe: typographical errors found in the theme book 5 Pahlawanku grade IV elementary school, (2) capital letter errors, (3) punctuation errors, and (4) less subject sentence errors. The method used in this research was descriptive qualitative. The object of this research is the Integrated Thematic Student Book 2013 Curriculum Class IV Theme 5 My Hero. The data collection used were interview techniques, field notes, literature studies, and reading notes. The research instruments used were interview grids, data filter grids, data recording cards, and overall data on linguistic errors. The data analysis method was carried out by the agih method. The data analysis technique used was the erase, replace, and insert technique. The data analysis presentation technique used is an informal technique. From the results of the study, it is known that there are 4 types of errors, namely (1) letter writing errors, there are nine capital letter errors, (2) capital letter errors, there are seven errors, (3) punctuation errors there are fourteen errors, and (4) sentence errors. less subject there are three errors. The most linguistic errors are writing punctuation, there are fourteen errors, and the smallest error is a sentence that lacks the subject, there are three errors
Information Visualization Based on Attributed Hierarchical Graphs with Ports

Information visualization based on graph models has many applications in both real and theoretical fields. Since the information that it is desirable to visualize is constantly growing and becoming more complex, more powerful graph-theoretic formalisms are required and appear to represent structured information models with a hierarchical structure. One of these formalisms is the so-called attributed hierarchical graphs. It allows selecting in the original graph a set of such parts (so-called fragments) that all elements of each fragment deserve separate joint consideration, and all fragments of the selected set form a nesting hierarchy. Visual Graph is a visualization system which is constructed at the A.P. Ershov Institute of Informatics Systems to explore complex structured big data through their visual representations based on attributed hierarchical graphs. In many applications, objects modeled by graph vertices are complex and contain non-intersecting logical parts (so called ports) through which these objects are in a relationship modeled by arcs. In this paper a formalism of attributed hierarchical graphs with ports and new possibilities of the Visual Graph system for information visualization based on this graph formalism are considered.
Data preparation services for the authentication of people by their electrocardiogram

For modern telemedicine, it is important to solve the problem of patient authentication. This paper studies the possibility of using personal unique features of people, namely their electro-cardiogram (ECG), for authentication. Biometric authentication is promising in telemedicine, where patients send physicians through information channels increasing amounts of their data. When some clinic monitors its patient remotely and asks them for an ECG, it should be confi-dent that the received ECG belongs to that particular patient. Biometric authentication using ECG is a rather specific area of research and now there are no leading technologies in this field. This method is the goal of the technology being developed. In this direction, we have already conducted research, developed algorithms, and tested their viability on test data. Combining the obtained algorithms and machine learning to solve the problem of classification of ECG belong-ing to a person, there was developed a program capable of authenticating people by their ECG. This gave confidence in the possibility of using such technology. The next step was to scale this technology to reach two goals: to test the performance of the technology on a much larger amount of data and to prepare it for use in real conditions when processing time should be min-imal. The paper describes the gradual development from a program running on a personal com-puter to a system performing computing in a cloud environment. The time spent on conducting experiments and comparing the running time of programs on a personal computer and in a cloud environment are shown. The most efficient configuration of the system for cloud architecture was found experimentally.
Why Must Journals at the University Level be Well Managed to Support the Era of University Independence?

Scientific journals have a vital role, from developing and disseminating science and technology to becoming a source of income generating for universities. Semarang State University has 166 journals, both National and Scientific Journals, spread across all faculties, study programs, institutions, and postgraduate programs. Many journals demand a good governance system characterized by a comprehensive service system. These procedures ensure consistent implementation and clear division of roles, so that journal management is carried out consistently, accountable, transparently, and professionally. This study aims to compile the main indicators of core services that must exist in journal management units at universities to support improving the performance of university journals that are consistent, accountable, transparent, professional, and able to capture future business opportunities. This type of research uses Participatory Action Research. The sampling technique is purposive sampling, and qualitative data is analyzed using content analysis. The study results found that the management of professional journals that have an orientation to business development at the university level requires a minimum of 10 key roles with 12 minimum service systems that must be developed. From these results, the next step is to develop an adequate information system outside of OJS to improve the performance of managers and services.
Postmodernism in Ukrainian music: “Quiet Songs” by Valentyn Silvestrov

The article is devoted to the analysis of the vocal cycle of the modern Ukrainian composer "Quiet Songs", which is considered in the context of Ukrainian music of the 1970s. The main features of its poetics as a transitional phenomenon between avant-garde and postmodernism are revealed: meditativeness, uncertainty, blurring of the composition, variability of the rhythmic structure, intertextuality, polystylistic, reflexivity, self-absorption, etc. It is concluded that Silvestrov went through a complex evolution from avant-garde experiments to quiet simplicity, to small vocal form and poetics of introspection. He created a sound model of the world, immersed in contemplation and reflection, understood as the path of self-awareness, tragic and beautiful at the same time.
Real-time capacitance estimation: an application for Mechanical Ventilators

This work proposes a real-time capacitance estimation methodology, that could be implemented in operating conditions. This algorithm is mainly oriented to be used in mechanical ventilators for the estimation of the lung's capacity, which is analogue to the electrical capacitance. The algorithm is initially tested via ceramic capacitors, and then with an artificial lung. Results show promising results for the evaluation of the respiratory stress.
Aplikasi Pembelajaran Percakapan Bahasa Arab dan Inggris Berbasis Android

Nurul Haramain Islamic Boarding School NW Narmada is a private educational institution that applies English and Arabic as daily languages ​​for students in the boarding school environment. However, students who have just entered the Islamic boarding school are given up to six months to learn English and Arabic. Until now, Nurul Haramain Islamic Boarding School NW Narmada in teaching Arabic and English to students still uses the conventional learning process without using the help of learning media. Most of the students did not listen to the teacher delivering the subject matter, difficulties in understanding the material, and the lack of interest of the students in Arabic and English conversations. Therefore, this study aims to develop an application for learning conversational English and Arabic based on Android for class 1 students of Mts Nurul Haramain. The application development stages use the Luther Sutopo model which consists of the Concept, Design, Material Collecting, Assembly, Testing, and Distrubution stages. The application that has been developed was tested on 30 respondents related to application functionality, where the results of application functionality were 78% in the Good category, so that it can help class 1 students of Mts Islamic boarding school Nurul Haramain learn English and Arabic conversation with the correct pronunciation.
Implementation and Viusalization of Quantum Walks

Quantum walks (QWs) are the quantum analogue to classical random walks. We explore various implementations of QWs and create visualizations for each, with the goal of increasing educational accessibility. A new QW, called sticky walk, is introduced, where the walker sticks to targets once found. Corresponding pseudocode and Qiskit implementations are provided. Sticky walk helps bridge the gap between non-searching QWs and Quantum Walk Search (which may be an unintuitive search algorithm for those new to QWs).
Sistem Deteksi Jatuh dan Peringatan Dini Pada Manusia Berbasis Android

Falling is an event that has often happened to humans in the surrounding environment, and almost every human being has experienced a fall. The condition of falling in humans can have very serious effects, such as injuries and may even increase the risk of death. The cause of death due to a fall can be caused by several factors, including the weakness of a person's ability to stand back up after a fall, when he falls there is no first aid, someone who falls has difficulty contacting his family or closest people. The purpose of this study is to build a fall detection system in humans. This system utilizes the accelerometer sensor on a smartphone to detect human movement. The fall detection system can run with various conditions of falling motion position with an accuracy level of 87.27% from a total of 110 trials, and a sensitivity of 77.5% so it is properly to use in detecting falling motion.