Reviewerly/exHarmony huggingface dataset:
Connection Study Motivation of Adolescents Who Have Broken Home with Students' Learning Achievements in Junior High School in Class VII Students of State 1 Perbaungan Academic Year 2021/2022

The research method used is descriptive quantitative approach with the type of research used is descriptive correlational research. Determination of the sample of this study is population research because the sample is less than 100. The level of learning motivation of adolescents who experience a broken home is 96.93% in the high category, the level of student learning achievement is 83.57% in the high category, the level of the relationship between adolescent learning motivation which multiplies broken home with student learning achievement is 0.331&gt; 0.284. This shows that there is a relationship between adolescent learning motivation who multiplies broken home and student learning achievement. Based on the discussion and data analysis, it can be concluded that the hypothesis which states "there is a positive and significant relationship between the relationship between adolescent learning motivation who multiplies broken home and student achievement” can be accepted. Where, the higher the relationship of adolescent learning motivation who multiplies broken home with student learning achievement. This shows that there is a relationship between adolescent learning motivation who multiplies broken home and student learning achievement. Based on the discussion and data analysis, it can be concluded that the hypothesis which states "there is a positive and significant relationship between the relationship between adolescent learning motivation who multiplies broken home and student achievement in students class VII SMP Negeri 1 Perbaungan” can be accepted. Where, the higher the relationship of adolescent learning motivation who multiplies broken home with student learning achievement.
A Large Scale Group Decision Making System Based on Sentiment Analysis Cluster

Nowadays, Group Decision Making is an everyday occurrence in different scenarios, such as marketing or social networks. These social networks have facilitated communication between experts because they do not need to meet in person. However, communication between experts through the Internet generates three problems: the management of large amounts of information, the fact that experts often provide their information using natural language, and the lack of analysis of experts’ intentions. In this paper, we propose a novel Large Scale Group Decision Making method to manage the information generated by a large number of experts, using a sentiment analysis with bag-of-words approach. This approach makes it possible to detect the degree of positivity and aggressiveness of each expert. Once the behaviours have been detected, the experts are grouped according to them and, for each group, a weight and a unique preference relation are obtained. Moreover, we propose an optimised consensus analysis process, where it is not necessary to compare all experts with each other, but only groups of experts. Thanks to our method, we can conduct studies of experts’ behaviour in large scale environments.
Keberhasilan Identifikasi Sampel Darah Kering yang Dipaparkan pada Beragam Jenis Substrat Kayu dengan Kondisi Lingkungan Berbeda Selama Kurun Waktu Tertentu

Most of the criminal cases leave traces at the TKP (Tempat Kejadian Perkara) which can be used as evidence to reveal the culprit and the chronology of events that have occurred. Blood is the most important biological evidence in TKP. Through experimental research with a completely randomized design (CRD), this study aims to determine the success rate of blood groups identification in different types of Sengon (Paraserianthes falcataria L. Nielsen) as wood substrate in open and closed environmental conditions up to a certain time period. The four variations of Sengon wood substrate used were natural wood, processed wood, painted wood, and varnished wood. After 336 hours exposure on wood substrate, blood sample on the substrate was confirmed to identify the ABO system blood group using the absorption-elusion method. The results showed that the success rate identification the blood groups in ABO system on all types of Sengon wood substrate in closed environmental conditions reached a 100% for observation periods until 336 hours. Despite, the success rate of blood identification from all types wood substrate in open environmental condition were 0% for observation periods until 336 hours. Those data was then tested for normality with SPSS. The results showed that the data are not normally distributed (sig &gt;0,00) for all type of treatmment. So that non-parametric statistical tests were carried out. The results of the Kruskall Wallis test showed that there was no significant difference between the treatment of Sengon wood substrate types and also in the length of time of observation (sig value 1,000). While the significance value on the environmental condition variable is 0.000, so it was concluded that there was a significant success rate's differences of blood group identification in samples that exposed to an open environment compared to a closed environment. This is reinforced by the results of the Kendall's correlation test and Spearman's test which show a strong correlation between the percentage of successful identification of blood groups and environmental conditions (correlation of 1,000). While the correlation value between the percentage of successful identification of blood group with the type of substrate and the length of time of exposure are 0.000 and 0.000, which is indicates a very weak correlation between the percentage of success of blood group with the type of substrate and the length of time of exposure. It can be concluded that the four types of wood substrates in closed environmental conditions had the same good ability to preserve blood within an exposure time of up to 336 hours. But, sample exposure in a closed environment provides the best percentage of success rate identification the blood groups in ABO system rather than the open environment was.
Energy Optimization In Data Centers For Cloud Computing

Cloud is rising as an integrative research area due to its systematized handling over the varied computing resources as a service to the end users all over the web. It has emerged with adding into large scale Data centers which contain thousand number of heterogeneous servers across the globe. These Data centers require lot of energy for its functioning. Looking into the increased requirement of computing, the size of Data Centers is increasing day by day and in turn resulting in increased consumption of energy. This poses a real challenge in front of the industry to make the data Centers green and energy efficient to reduce both the cost of running and carbon foot print which is not environment sustainable. Several energy optimization approaches are suggested by various re-searcher in this area. Regarding this end, we identified distinct techniques which are capable of minimizing the energy intake of data centers like consolidation, cooling techniques, routing algorithms, virtualization, scheduling, load balancing and migration etc. We have also reviewed various simulation tools used by researchers for testing their energy efficient approaches. Lastly a research direction has been identified for play down the consumption of energy.
Online Proctoring System

An online proctoring system will be an effective application to monitor and minimize the malpractices done by students. The main focus here is face detection and face spoofing. Face detection is an artificial intelligence (AI) based computer technology used to find and identify human faces in digital images. It now plays an important role as the first step in many key applications -- including face tracking, face analysis, and facial recognition. By using open cv tensor flow libraries we will be building our face detection model. dlib library is used to mark facial pointers from the detected face. We will be also building a face spoofing model to differentiate the devotional phase from images, videos, photos, and stuff. In this model, live video is provided from the integrated camera or web camera as an input to the model so that we would get the result about whether there is any malpractice that has happened or not.
The Planning and Production of A Hindi Digital Dictionary for NLP Specific Purpose

Digital humanities provide possibilities for the creation of new pathways for research in the field of Humanities and Social Sciences. A complete digital infrastructure has to be created to realize these possibilities. Since the 1960’s computational linguists are trying to develop tools for better communication between human languages and machines. A digital dictionary is one such tool. It forms the core of natural language processing (NLP) based tasks. Digital dictionaries contain an enormous amount of information and are very useful, but their design is structured according to the specific needs either of the language learners or the program for which they had been designed, so data access for other NLP tasks is either limited or denied completely. The creation of a completely new digital dictionary becomes inevitable in such a scenario.
A Study on the Buddhist Citizenship Education to Prepare for Transformation in Korean Society: Focused on the Tasks of Transformation

In the ｢Framework Act on Education｣, Korean society sets the direction that even adults, including students, have the right to be educated to have the 'qualities necessary as a democratic citizen’, and through this, should contribute to the public interest of Korean society and mankind as a whole. However, discussions on what specifically, civic education for democratic citizens is, are still underway without agreement. The important point is that the social structure and lifestyle change according to the times, and the qualities and virtues required by citizens also change. Considering this, the philosophical and theoretical level of review and discussion of the goals, directions, and grounds of citizenship education should be conducted together with social analysis and the prediction of social change. From this awareness of the problem, this study summarized recent Korean society perspectives from the viewpoint of 'transition,' Based on this, the goals and directions of citizenship education were summarized. Korean society has long confirmed that social solidarity is collapsing due to conflict, hatred, and exclusion. In addition, inequality has accelerated since neoliberal policy was fully implemented. In addition, it has been confirmed that the discourse of meritocracy that justifies inequality has become the mainstream perception of society. In addition, as a member of the human community, Korea also identified an ecological crisis that could be an exception. Therefore, we have now confirmed that social integration, restoration of publicity, and the emergence of ecological values are new tasks. To solve these challenges, it is necessary to form a social entity to prepare for a transition. In this sense of the problem, this study presents the virtues of Buddhism, especially for citizens, from an acting point of view as three things: (a) reconciliatory thought for social integration, (b) collective karma for social justice, and (c) awareness and practice of life peace.
Multi action recognition using machine learning

One of the most exciting and useful computer vision research topics is automated human activity identification. The majority of existing research, as well as most traditional approaches and classic neural networks, disregard the In video sequences, the appearance and patterns of motion are important. Individuals are unableIn video sequences, the appearance and patterns of motion are important.. This paper outlines a system for detecting, recognising, and summarising diverse human actions.The multiple action detection method takes the silhouettes of human bodies and then uses motion detection and tracking to create a unique sequence for each one.Based on the Each of the recovered sequences is then separated into shots based on the similarity between each pair of frames.show the sequence's homogenous activity. The activity is identified by looking at thedata oriented gradient (HOG) histogram of the frames in each shot's Temporal Difference Map (TDMap). comparing generated HOG to previous HOGs in the early stages of training. Making use of the TDMap image and a proposed CNN model, we can additionally recognise the action. Action summarising is carried out for each person found.
Evaluating the Security of Cryptographic Systems

Abstract In this study, a method is proposed in order to evaluate the security of a cryptographic system, which besides of its cryptographic algorithm which is embedded into the system, includes other critical individual units and security mechanisms. If some of these security mechanisms are inadequate, they may reduce the initial security of the system which is provided by the strength of its cryptographic algorithm. The evaluation method combines the strength of the system’s cryptographic algorithm with the strength of all the other security mechanisms and gives a final assessment for the security grade of the whole system. At the end of the study the necessary conditions are presented, for the validity and the duration of the evaluation, taking into account the expected evolution of technology. Keywords: Cryptography, Data encryption, Communication security, Computer security, Data security, Information security.
A Novel Four-in-One Blended Teaching Model for Analytical Chemistry

Since there is an urgent need for public health talent in our country, a "four-in-one" blended teaching model was constructed based on the concepts of outcome-based education to solve some of the problems existing in the current teaching of analytical chemistry.The developed four-in-one blended teaching model is a product of combining face-to-face teaching, rain classroom, mind mapping, and Microsoft Excel.Students were asked to preview the class and participate in the classroom, resulting in productive interactions with teachers.Additionally, students could reconstruct the course contents themselves after class.Students were also encouraged to use their spare time to study independently.Knowledge teaching, valuable guidance, and ability training were merged into the new teaching model; thus, the fundamental tasks of morality and talent cultivation was achieved.
Non-inclusive Growth Among Rural Households in Nigeria: A Micro Level Analysis of Income Growth and Equitable Distribution of Resources

This study assessed Non-Inclusive Growth among rural households in Nigeria.Secondary data from General Household Survey (GHS) of 2010/2011, 2012/2013 and 2015/2016 were used.The GHS is a panel data consisting of 5,000 Households) of which 3,347 rural households were used.Data were obtained on socio-economic characteristics, living condition characteristics and geopolitical zones.Poverty gaps were estimated and matched to the economic growth rate to categorise households into non-inclusive growth.Data were analysed using descriptive statistics, Foster-Greer-Thorbecke (FGT) and Probit model.The mean age of the rural households were 41.8±9.4,43.7±9.4,and 46.9±9.4 years, while the mean household sizes were 8.0±2.0,7.3±3.1 and 7.5±1.8for 2010/2011, 2012/2013 and 2015/2016 respectively.Majority were male, 65.0%, 65.4% and 65.5%, while 64.3%, 63.1% and 63.4% were married in 2010/2011, 2012/2013 and 2015/2016, respectively.households with no formal education (45.3%) was higher in 2012/2013 than in 2010/2011 (43.3%) and 2015/2016 (40.2%).The non-inclusive growth was higher without access to health facilities, access to energy, access to potable water and employment in periods 2010-2013, 2013-2016 and 2010-2016.The Probit results show that age of rural households, household size, education, access to health facilities, access to energy, access to potable water, access to credit, North East zone, North West zone, South South zone and South West zone influenced non-inclusive growth among rural households.Therefore, access to facilities and equitable share of resources should be paramount in the rural areas in order to reduce the poverty status of the people vis a vis reduced non-inclusiveness of growth.
A Type of “Bubble” Water-saving Faucet

At present, many places are seriously short of freshwater resources. Thus, saving water is the universal responsibility of contemporary citizens. Now faucet products such as ordinary washing nozzle, kitchen nozzle, face-washer nozzle, bathtub nozzle and washing machine nozzle are widely used in urban and rural households. Most have poor water-saving abilities, and much water is wasted through daily washing. Our bubble-type water-saving device is a brand-new water-saving device with a simple structure and low cost. It uses the Bernoulli principle and the bubble atomizing principle to inhale air naturally in water flow to atomize water flow. It can help achieve more than 50% water-saving efficiency in daily washing behavior.
A Discussion on the Practical Teaching Reform of Intelligent Mobile Terminal Technology Course

In this intelligent era, there is a high market demand for professional engineering talents in the computer industry. Based on engineering education accreditation, this paper briefly discusses the practical teaching reform of the intelligent mobile terminal technology course, which involves integrating theory with practical, taking students as the center, focusing on practical teaching, strengthening students’ practical skills and computer application development skills, as well as promoting the construction and development of engineering accreditation.
DEVELOPING INTENS (INTERACTIVE ENGLISH) BOOK FOR ADVANCE LEARNERS

The purpose of this research is developing English learning media called INTENS (Interactive English) for advance learners. This media consist of some materials which is appropriate to be studied for all English advance learners. The research method used is Research and Development. This development used Borg and Gall theory which have several steps, those are; 1) Research and Information Collection, 2) Planning, 3) Develop Preliminary Form of Product, 4) Preliminary Field Testing, 5) Main Product Revision, 6) Main Field Testing 7) Final Product Revision 8) Dissemination and Implementation. The media validation result got 95 score it was in “very good” category, and the material validation got 92 score it was in “very good” category. Subject of this research was students of MA Al Bairuny Jombang. The students’s responses of try out result 85 was in “good category”. It can be concluded that INTENS (Interactive English) is feasible to be used as a learning media for English advance learners.
Cope with the Uncertainty by Systematic Improvement of Lean Supply Chain Management in Shipbuilding

Based on the same author's previous study, A Systematic Approach of Lean Supply Chain Management in Shipbuilding, this paper presents further analysis on the uncertainty of supply chain management in shipbuilding, clarifies the nature of uncertainty in the supply chain of shipbuilding, and establishes a systematic improvement model of lean supply chain management to mitigate the uncertainty of supply chain in shipbuilding.It refines the systematic approach on the respect of uncertainty and radically improvement of the theory.With the cases study, it is learnt that uncertainty of the supply chain in shipbuilding forces some trivial, particular, and detailed supply to become urgent issues, especially in the later stage when the ship closes to delivery; in these cases, the solution of solving such urgent parts causes the shipyard to pay a much higher cost.Less urgent issues and uncertainty in the supply chain of shipbuilding can not only benefit the total cost of the supply chain but also the efficiency of building processes.In a systematic path, this paper analyzes the root causes of the uncertainty of the supply chain management in shipbuilding in terms of technical specification, standardization ratio, unforeseen damage and defects, and change of demand schedule.The uncertainty of supply chain management in shipbuilding can be mitigated and reduced by means of high-quality design and engineering, higher standardization ratio in the parts and fittings, and proper safety margin on schedule time.After the procedure of LSCM obtained and refined by circulation for perfection, the professional software bund with new technology devices makes digital transformation reality.In the digital LSCM system, all performance measurement results with the original data of LSCM can be calculated and shown for the management.Therefore, the uncertainty of the LSCM in shipbuilding can be easily captured and solved.
PEMBUATAN WEBSITE E-VOTING (STUDI KASUS: PEMILIHAN KETUA OSIS SMA DAN SEDERAJAT)

Voting in a democracy is an important part of the means of choosing a leader. The election of the OSIS chairman is generally still carried out conventionally, the election still uses paper to choose the OSIS chairman which is carried out by punching / recording the name or picture of one of the candidates. Making E-Voting in the form of a web application for the election of the OSIS chairman at the high school level or equivalent can speed up the voting process. The web application is built using PHP and MySQL with user management, class management, candidate management and voting results (E-Voting) features. This study aims to build an e-voting system that is expected to provide voting results quickly and can be monitored in real time during voting. This system development method uses the Waterfall model SDLC based on a web application. Testing using the blackbox method, every feature contained in the E-Voting web application, namely the User Login, Admin Login, User Voting, and User Data Processing features function properly.
STUDY OF LANGUAGE STYLES IN PRESIDENT-ELECT JOE BIDEN’S VICTORY SPEECH

This study is a study of the Language Style in a speech on Youtube com with its subtitle, entitled: President-elect Joe Biden stands on stage with his wife Jill, Saturday, Nov. 7, 2020, in Wilmington, Del. Transcript of President-elect Joe Biden’s victory speech Saturday night in Wilmington, Del., as delivered. Provided by the Biden campaign: The Language Style used by Joe Biden are: Repetition, Metaphor, Euphemism, Persuasion, Climax, Anti-tesis, Repetition, Rhetoric, Idiom, Literal Meaning, Persuasive Slogan.Language Style used by Joe Biden could give a positive comprehension, enthusiasm, motivation, understanding for the effectiveness of the audience as well as the listeners and the viewers. This can be understood from his speech that the audience often pay attention in each language style (can be seen on Joe Biden makes a history speech " in Wilmington.Messages can enhance 'understanding' or 'message comprehension'. The use of Language Style in Joe Biden speech can facilitate understanding. Complex ideas may be conveyed more clearly through Language Style or rhetoric. Stored messages can help to 'alert' a message. The use of various syntactic patterns or figurative words can help audiences remember an important element in the message. The message conveyed can increase the persuasion appeal. Key words: Figurative Meanings, Speeches, Rhetorics, Motivation, Enthusiasm