Reviewerly/exHarmony huggingface dataset:
A portable posture monitoring device for gymgoers

With unprecedented witness in physical exercises, gyms are high in demand with theirinfrastructure and best exercise equipment to provide proper fitness to its customers. Butincorrect posture is one of the overlooked issues that result in acute or chronic injuries whiledoing improper exercises. Heavy loads and wrong postures during the exercise are notmonitored mostly due to insufficient assessment tools or infrastructure. The gait analysis setupmakes it impossible to monitor exercise routines in regular gyms due to the space andexpenditure. In this study, a wearable device integrated with multiple accelerometers isdesigned to monitor posture. This portable device can also deliver proper data for routines likesquats, bench press and deadlifts. Using built-in Bluetooth and Wi-Fi, the data can be trackedin real time. The real-time posture data can provide reliable information to the gym coachesfor immediate correction remedy.
Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision

Distant supervision uses triple facts in knowledge graphs to label a corpus for relation extraction, leading to wrong labeling and longtail problems.Some works use the hierarchy of relations for knowledge transfer to longtail relations.However, a coarse-grained relation often implies only an attribute (e.g., domain or topic) of the distant fact, making it hard to discriminate relations based solely on sentence semantics.One solution is resorting to entity types, but open questions remain about how to fully leverage the information of entity types and how to align multi-granular entity types with sentences.In this work, we propose a novel model to enrich distantlysupervised sentences with entity types.It consists of (1) a pairwise type-enriched sentence encoding module injecting both context-free and -related backgrounds to alleviate sentencelevel wrong labeling, and (2) a hierarchical type-sentence alignment module enriching a sentence with the triple fact's basic attributes to support long-tail relations.Our model achieves new state-of-the-art results in overall and long-tail performance on benchmarks.
Improved The Ability To Write Explanation Text Complex Through Stad Models In It Al Fattah Desa Lama Private High School Students

Many activities are closely related to writing skills, for example making summaries, taking notes, writing minutes, writing various kinds of letters, writing activity plans, to the ability to write scientific papers. Writing complex explanatory text is writing that tells of an event that is arranged in an orderly manner. Meanwhile, the Student Teams Achievement Division (STAD) is a method that prioritizes good teamwork. The ability to write complex explanatory texts of class XI SMA SWASTA IT AL FATTAH Lma Village in cycle I was (52%) complete learning and (48%) students have not finished learning. Then after taking the action in cycle II, the learning outcomes are (95%) complete and (5%) have not finished learning Keywords: ability, writing, complex explanatory text, STAD.
The Analysis of Predisposing and Reinforcing Factors on the Accuracy of Returning Inpatient Medical Records Documents

According to the Procedure Operational Standard of Jember Klinik Hospital, the time for returning medical record documents is 2x24 hours after the patient's discharged from the hospital. Therefore, a medical record document return system is essential to support services, especially medical record document management. Based on the preliminary study, the average rate of returning medical record documents more than 48 hours from January to June 2019 reached 42.3%. The purpose of this study was to analyze the relationship between predisposing and reinforcing factors on the accuracy of returning inpatient medical record documents at the Jember Klinik Hospital. It is a quantitative study with a cross-sectional approach and the spearman rank correlation method. The population of this study was 67 nurses and midwives and 50 respondents as the sample. The results were that there was a significant relationship between knowledge (sig. 0,000), attitude (sig. 0.009), superiors support (sig. 0.002), and colleagues support (sig. 0.012) on the accuracy of returning medical record documents. However, the variable age (sig. 0.110) of nurses and midwives has no significant relationship with the precision of returning medical record documents. Therefore, this study can be used as a reference in evaluating the accuracy of returning medical record documents. Abstrak: Waktu pengembalian dokumen rekam medis menurut S tandar O perasional P rosedur R umah S akit Jember Klinik maksimal 2x24 jam setelah pasien keluar dari rumah sakit. Sistem pengembalian dokumen rekam medis sangat penting untuk menunjang pelayanan khususnya dalam pengolahan dokumen rekam medis. Berdasarkan hasil studi pendahuluan di R umah S akit Jember Klinik diketahui bahwa angka rata-rata pengembalian dokumen rekam medis ke unit kerja rekam medis lebih dari 48 jam (2x24jam) pada bulan Januari hingga Juni 2019 mencapai 42,3%. Tujuan dari penelitian ini adalah menganalisis hubungan faktor predisposisi dan penguat terhadap ketepatan pengembalian dokumen rekam medis rawat inap di R umah S akit Jember Klinik. Jenis penelitian ini merupakan penelitian kuantitatif dengan pendekatan crosssectional dan metode korelasi spearman rank. Populasi penelitian ini yaitu sebanyak 67 petugas rawat inap dan sampel 50. Hasil penelitian yang dilakukan oleh peneliti yaitu bahwa terdapat hubungan yang signifikan antara pengetahuan (sig. 0,000), sikap (sig. 0,009), dukungan atasan (sig. 0,002), dan dukungan rekan kerja (sig. 0,012) terhadap ketepatan pengembalian dokumen rekam medis. Namun variabel usia (sig. 0,110) perawat atau bidan tidak ada hubungan yang signifikan dengan ketepatan pengembalian dokumen rekam medis. Hasil penelitian ini dapat digunakan sebagai bahan evaluasi bagi pihak rumah sakit dalam evaluasi ketepatan pengembalian dokumen rekam medis.
Boosting CPA to CCA2 for Leakage-Resilient Attribute-Based Encryption by Using New QA-NIZK

In this paper, we construct the first efficient leakage-resilient CCA2 (LR-CCA2)-secure attribute-based encryption (ABE) schemes. We also construct the first efficient LR-CCA2-secure identity-based encryption (IBE) scheme with optimal leakage rate. To obtain our results, we develop a new quasi-adaptive non-interactive zero-knowledge (QA-NIZK) argument for the ciphertext consistency of the LR-CPA-secure schemes. Our ABE schemes are obtained by boosting the LR-CPA-security of some existing schemes to the LR-CCA2-security by using our QA-NIZK arguments. The schemes are almost as efficient as the underlying LR-CPA-secure schemes.
변혁적 리더십이 현역병의 직업군인 지원의사에 미치는 영향: 군 생활 만족의 매개효과를 중심으로

Today, one of the most severe challenges that the Republic of Korea military faces is the recruitment of professional soldiers caused by the change of population structure. Drawing on survey data from 1,746 conscripted soldiers in the Republic of Korea military, this paper examines the mediating effect of military life satisfaction on the impact that transformational leadership has on conscripted soldiers’ intention to become professional soldiers. The analysis result shows that transformational leadership has a statistically positive relationship with conscripted soldiers’ intention to become professional soldiers, and its relationship is partially mediated by conscripted soldiers’ military life satisfaction. Based on the analysis results, we make policy recommendations for military recruiting and retention.
DirectAR: Teaching the basics of Cinematography Using Augmented Reality as Learning Tool

This paper examines the development of an augmented reality app that will be used as a tool for people interested in learning the conventions of cinematography. Augmented reality has demonstrated its value in various aspects of education, from helping highschoolers learn abstract concepts of chemistry, to medical and nursing training. DirectAR merges augmented reality with tried and tested visual language concepts in order to give its users a hands-on learning experience. This is possible due to the creation of AR characters that serve as models with which users of this app are able to grasp concepts by actually putting them into practice
‘THE GREAT YOUTUBE PURGE OF WRONGTHINK’: ALTRIGHT ADAPTATIONS IN A CHANGING PLATFORM ECOLOGY

Social media platforms are under increasing pressure to counter racist and other extremist discourses online. The perceived "independence" of platforms such as YouTube has attracted AltRight "micro-celebrities" (Lewis, 2020) that build alternative networks of influence. This paper examines how the discourses of one online AltRight "manfluencer" responds to tightening controls over allowable speech. We present analysis of the YouTube channel of the Swedish far right bodybuilder and motivational speaker Marcus Follin, or "The Golden One". His specific approach to politics includes fitspiration, motivational speaking, and other kinds of neoliberal technologies of the self that in his ideology come together as a call to defend white motherlands and join hands between European nations to fight against globalism and multiculturalism. Through conducting post-foundational discourse analysis of a corpus of 40 videos, we identify three prominent strategies that he uses to respond to increased control of online spaces. The first is to increase cultural encryption, constructing social media as territories in a “metapolitical” war will be won culturally. The second is partial articulation, where he stays focused on positive messages, and his ideology is explained as being about love, not hate. The third is migration, diversification, and new platform-specific foci, through which he finds new and ‘independent’ online spaces and builds new audiences. We conclude that we need more nuanced understandings of how far right ideologies might thrive and build resilience in response to pressure on their speech.
Learning Bayesian Networks: The Combination of Scoring Function and Dataset

Bayesian network (BN), a graphical model consists nodes and directed edges, which representing random variables and relationship of the corresponding random variables, respectively. The main study of Bayesian network is structural learning and parameter learning. There are score-and-search based, constraint based and hybrid based in forming the network structure. However, there are many types of scores and algorithms available in the structural learning of Bayesian network. Hence, the objective of this study is to determine the best combination of scores and algorithms for various types of datasets. Besides, the convergence of time in forming the BN structure with datasets of different sizes has been examined. Lastly, a comparison between score-and-search based and constraint based methods is made in this study. At the end of this study, it has been observed that Tabu search has the best combination with the scoring function regardless of the size of dataset. Furthermore, it has been found that when the dataset is large, the time it takes for a BN structure to converge is shorter. Last but not least, results showed that the score-and-search based algorithm performs better as compared to constraint based algorithm.
Impact of Bullying on Psychosocial Adjustment of School-Aged Children in Nigeria

Bullying according to many studies and researches has been seen to have both social and psychological effects on the victims.In light of the foregoing, this study examined the impact of bullying on psychosocial adjustment of school-aged children in Nigeria sampling Education District II of Lagos State.The district comprised of secondary schools in the following zones; Shomolu Local Government Area, Kosofe Local Government Area, and Ikorodu Local Government Area respectively.Using stratified random sampling technique, 270 respondents were randomly selected as sample for this study.The research instrument, a self-constructed questionnaire titled; Impact of Bullying on Psychosocial Adjustment Questionnaire (IBPSAQ) was administered to the respondents.A descriptive research design was adopted.A total of four research questions and hypotheses were formulated and tested at 0.05 level of significance using Chi-Square.The findings revealed that bullying has significant impact on students' anxiety and peer isolation.Findings however reflected that bullying does not have significant impact on student's school absenteeism and possession of weapon.In the light of the findings reported, the researcher made the following recommendations: The schools and home should work in synergy to collaboratively instill good values in their children/students.The school should embrace counselling services to help the psychosocial wellbeing of victims of bullying.The school should develop strategies to mete out punishments for any discovered bully.Victims of bullying should be encouraged by counsellors to report bullying cases to school authority as soon as it is experienced.
Algoritma Brute Force Pada Aplikasi Kritik dan Saran Mahasiswa Berbasis Digital

The Criticism and Suggestion application is an android-based application intended to provide input and criticism to related agencies, in planning to build this application an algorithm method is needed to match strings. This research was made to make it easier for students to express their opinions. The method used is the brute force algorithm method, this method is used to search for terms in the application made, the brute force algorithm is an algorithm that has a straight nature. The brute force algorithm is a very complicated algorithm, the reason is that with this method to solve problems using a straight forward technique, it takes several inputs and valid considerations, so that you often get problem solving decisions that directly refer to the brute force algorithm or lead to the desired results. . The results of the unit area analysis are to make it easier for users or users to generate criticism and input for their fields and therefore the results of the brute force algorithm program will display the results of thoughts, criticisms and inputs for that field.
Covid-19 Patient Mortality Risk Classification Using Bayesian Binary Logistic Regression

At the end of 2019 the world was shocked by a new disease caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2). The disease is called Covid-19 (Coronavirus Disease). The mortality rate due to disease is increasing every day. In Indonesia as of April 2021, confirmed Covid-19 patients who died reached 42,530 patients, seeing the high mortality rate of Covid-19 patients so it needs to be studied further so that the risk of death of these Covid-19 patients can be minimized. This research utilizing binary logistic regression with Bayesian method parameter estimation. In this study, the predictor variables used were in the form of categories that each category in the predictor variables was assumed to have the same risk of death risk of Covid-19 patients. The results of this study indicate that the number of comorbids has a significant effect on the risk of death of Covid-19 patients, the more the number of comorbids suffered by the patient, the higher the risk of death of the patient. The accuracy of this method in classifying data is 84.68%.
PENGEMBANGAN BAHAN AJAR MENULIS TEKS PROSEDUR DENGAN MENGGUNAKAN MEDIA BERBASIS APLIKASI ANDROID G-TEKS PRO (GENRE TEKS PROSEDUR)

In the industrial revolution 4.0, learners were a generation very close to the technology touch. Thus, teachers can not only rely on environmentally based media but also be able to use technology-based media that is both attractive, creative and innovative to achieve learning competence. The purpose of this study is to develop the teaching material for writing the procedure text using a media application called G-Teks Pro (Genre Teks Prosedur)Â using the research and development method. The application development model is ADDIE (design, development, development, development, development). The study population was SMPN 216 Jakarta class vii of 34 people. Data retrieval comes from observation, interview, and angket. The analysis used is qualitative and quantitative. After research, the pro-text android application was successfully developed and therefore flexible access. Furthermore, the quality of the application is rated highly appropriate/excellent according to the validator average value, which is 85.59%. Each rating is media expert 83.77%, materials expert 85.00%, and Indonesian teacher 88.00%. Later, the student merepons application at trial by giving an excellent assessment of 87.24%. Hence,Â G-Teks Pro applications imper on learning that can be used as teaching materials and thus improve writing skills, especially of the procedure text.
PEMANFAATAN APLIKASI OWNCLOUD PADA SISTEM KEAMANAN CLOUD COMPUTING

Private cloud is a type of private storage or only provides limited services to an organization or an agency. OwnCloud is a company whose project is OwnCloud project. The company's slogan is "Your Cloud, Your Data, Your Way". OwnCloud is one of the free file sharing software and has provided free security and has an easy or user-friendly user interface so it is easy to use. Owncloud has several features such as creating groups, being able to easily control users and having several other features that are a solution for a cloud-based storage at the Banten Province Public Works and Spatial Planning Office UPTD Serang – Cilegon roads and bridges which do not have integrated storage and still rely on storage such as hard drives, Google Cloud and available storage on the computer or PC in the office which makes it easy to lose and not integrated, therefore a solution using owncoud is made to reduce the existing storage on the computer or PC in the office This is so that all files are stored neatly and by adding a security so that every existing user cannot access data on other users, thus the data can be maintained and cannot be seen by other irresponsible people so that it is easier to operate. its n. By using ownloud which has several features, it makes owncloud more practical.
HOW BILINGUAL PROGRAM HELPS STUDENTS IMPROVE THEIR COMMUNICATIVE COMPETENCE

Bilingual program is a program that combines two languages, in this context are English-Indonesian, into a learning program in school. This bilingual program includes not only theory-based learning but also practice-based learning. Bilingual program can influence students in many ways, including in their communicative competence. The aim of this research is to find out that whether bilingual program can help students improve their communicative competence and how the students deal with it. Qualitative descriptive as the method of research and with observation, interviews, and document analysis/data analysis as the data collection techniques. This research shows that it is true that bilingual program can influence the students in their communicative competence. Based on this result, it can be concluded that bilingual program can help students improve their communicative competence with the programs held by school.
An Inquiry on the Self-Esteem and Self-Efficacy Level of Information Technology Students

This study aimed to identify, analyze and determine the level of self-efficacy and self-esteem of B.S. Information Technology (BSIT) students of a higher learning institution in Nueva Ecija, Philippines.It was conducted during the 1 st Semester of the academic year 2019-2020.This research utilized descriptive approach to describe the level of self-esteem and self-efficacy of the students and to draw valuable insights that may contribute to the improvement of the teaching and learning practices of the faculty members in the college.The researchers used random sampling to ensure that all year levels are well represented in the study.There were 285 students who voluntarily responded after the researchers explained to them the purpose of this study.Responses were tallied, summarized and interpreted.Results show that the level of self-esteem and self-efficacy of the students were moderate/medium (WM=2.03, WM=2.08).This indicates that depending on the given situation or context, students may increase or decrease the level of their self-esteem and self-efficacy.This study suggest that students may be exposed to more activities that may help them improve their self-esteem and selfefficacy to greatly contribute to their holistic development.Future studies may be conducted to a larger number of respondents and to understand the link between self-efficacy and self-esteem on their academic performance, drop-out rates, and retention rates.
THE USE OF ROBOTIC MODELS IN THE LABORATORY PRACTICE

This article discusses the benefits of using virtual and physical models / layouts. It is believed that the active use of models / layouts in the initial process of students and, consequently, a large amount of practice is something to strive for, because it corresponds to the development of modern technologies, which affect the education system . Models / models can be used during laboratory or practical classes to more effectively practice the knowledge and skills acquired in the learning process. The article also presents constructive arguments about the usefulness, expediency and effectiveness of the introduction of such methods in the educational process of students in terms of creative development, development of logic and others. Computer tools such as the Arduino IDE program, which is used to generate code in C \ C ++, and VirtualBreadboard, a user-friendly environment for emulating electronic components and systems, compatible with the Arduino IDE and a number of other programs. 4 variants of models of different complexity were developed for use in the classroom as a basis for laboratory work, created using the Arduino IDE and VirtualBreadboard programs. Developed and created a robotic layout based on the Arduino board. The layout has a distance sensor, line sensors and an LED display function system. It can also be programmed and modified to use the acquired knowledge, skills and study the relationship between program code, microprocessor and executive components. It is believed that the experience of combining physical and computer modeling has a good effect on mastering the theory, as in practice you can see the result of certain actions, understand the patterns and draw analogy.
Contribution of Emotional Intelligence and Parental Social Support in Student Learning Achievement

This study aims to analyze (1) learning achievement, emotional intelligence and social support of parents, (2) the contribution of emotional intelligence and social support both individually and collectively to student achievement behavior. This research uses descriptive quantitative method. The study population was 436 students of SMK Country 3 Padang. The research sample was 209 students who were selected by purposive sampling technique. The instrument uses a scale of emotional intelligence, and social support from parents and the results of the students' mid-semester value recap. The research data were analyzed using descriptive statistics, simple regression, multiple regression. The results of the study proved that: (1) emotional intelligence contributed 31.5% to student achievement, (2) parents' social support contributed 27.6% to student achievement, (3) emotional intelligence, shared parent social support contributed on student achievement as much as 33.4%. The implication of the results of this study can be used as input for making guidance and counseling service programs in improving student learning achievement.