Reviewerly/exHarmony huggingface dataset:
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method

Recently, the Stochastic Particle Optimization Sampling (SPOS) method is proposed to solve the particle-collapsing pitfall of deterministic Particle Variational Inference methods by ultilizing the stochastic Overdamped Langevin dynamics to enhance exploration. In this paper, we propose an accelerated particle optimization sampling method called Stochastic Hamiltonian Particle Optimization Sampling (SHPOS). Compared to the first-order dynamics used in SPOS, SHPOS adopts an augmented second-order dynamics, which involves an extra momentum term to achieve acceleration. We establish a non-asymptotic convergence analysis for SHPOS, and show that it enjoys a faster convergence rate than SPOS. Besides, we also propose a variance-reduced stochastic gradient variant of SHPOS for tasks with large-scale datasets and complex models. Experiments on both synthetic and real data validate our theory and demonstrate the superiority of SHPOS over the state-of-the-art.
Empirical Research of the Self-education Motivation of Students

The aim of the article is to present results of an empirical research of self-education motivation of students. The following methods are used: empirical: «Method for studying the motivation for success and avoidance of failure» by A.О. Rean, «Method for studying the motivation of higher education» by T.I. Iliina, «Test for assessing the ability to self-development and self-education» by V.I. Andreev, «Personal Orientation Inventory» by E. Shostrom; mathematical and statistical methods of data processing. The results of the research. The data of studying the components of self-education motivation (motivation for achieving success, motivation of learning, the ability to self-education and self-actualization) have been presented. Diagnostics of the motivation for success and avoidance of failure has shown that in the group of the first and third year undergraduate students, motivation for success prevails, but it is not marked, and in the 1–2nd year of magistracy, most students have a stable motivation for success. An empirical study of the motivation of educational activity has shown that the motive «Acquisition of knowledge» is the leading motive for students, and the motives «Mastering a profession» and «Getting a diploma» are almost at the same level. This demonstrates that students show curiosity, interest in acquiring knowledge, but still formally assimilate them. It has been found that the motivation for self-education of students grows during the course of study – from the level below average (at the 1st year of the higher education level «Bachelor») to above the average (at the 1st year of the higher education level «Master»). Diagnostics of the degree of self-actualization has shown that students of the first and third years of the baccalaureate have an average degree of self-actualization, and the first year of the magistracy – a high one, which indicates the desire to develop personal capabilities. Conclusions. Results of the empirical research and correlation analysis of components of the self-education motivation have confirmed the research hypothesis in that part that the self-education motivation of students increases during the course of education; it has been stated the ability for self-education leads to the desire to achieve success and depends on self-actualization.
Colonial Pipeline hacker Darkside reaped $90M from 47 victims

The Russian ransomware group responsible for the Colonial Pipeline hack, Darkside, reaped just over $90 million in Bitcoin ransom payments from 47 victims before announcing it would cease operations, according to blockchain analytics firm Elliptic.
A Study on Outlier Detection Techniques for Wireless Sensor Network with CNN Approach

This chapter covers various outlier detection techniques applicable to wireless sensor networks. Noise, errors, and malicious attacks are the outliers on the network. To filter noisy data, to find faulty nodes and to discover interesting events, outlier detection techniques are used. Over the recent years, the term ‘deep learning’ has been considered as one of the primary choices for handling huge amount of data. Having deeper hidden layers, it surpasses classical methods for detection of outliers in a wireless sensor network. The convolutional neural network (CNN) is a biologically inspired computational model which is one of the most popular deep learning approaches. It comprises neurons that self-optimize through learning. EEG, generally known as electroencephalography, is a tool used for investigation of brain function, and the EEG signal gives time-series data as output. In this chapter, we propose a state-of-the-art technique designed by processing the time-series data generated by the sensor nodes stored in a large data set into discrete one-second frames, and these frames are projected onto 2D map images. A CNN is then trained to classify these frames. The result improves detection accuracy.
A Study on the Research Trends for International Trade using Topic Modeling : Based on The 4th Industrial Revolution & Digital Transformation

Purpose : As international trade studies has a multidisciplinary characte, it is very important as a researcher to figure out the trends of research topics. By investigating research trends in the field of international trade studies due to the 4th industrial revolution by using topic modeling, we will examine how research in international studies is being conducted. Research design, data, methodology : From 2004 to April 2021, abstracts and titles of 120 papers in international trade and commerce journals were collected through the Korea Citation Index DB of the National Research Foundation. Based on this, research trend analysis was conducted using LDA among topic modeling techniques carried out. Results : It can be seen that the research was conducted in five topics related to the 4th industrial revolution.(① digital contents·data privacy, ② Digital Transformation in logistics, ③ trade settlement·fintech, ④ digital Trade Dispute Settlement, ⑤ digital trade·regulation) Conclusions : This study is expected to provide implications for the new agenda of trade policy and future research directions such as international trade and commerce in the digital economy era.
Ferry Cruise Scheduler Information System Development Applying Spiral Method

Information technology is familiar to the public as it is today, the presence of various innovations in the field of information technology has facilitated all human activities both directly and indirectly. PT ASDP Kupang branch is a national company engaged in crossing services that serve the community in the east nusa tenggara region, as for the problems that exist so far the people of east Nusa Tenggara have difficulty in accessing information about the ship's cruise schedule, passenger fare information and other information related to the cruise prospective passengers are required to come directly to the office to find the required information. This information system is created to help people who use ferry crossing services in East Nusa Tenggara province, The result of this application is that users can check the ship departure schedule, fare info, cruise routes and information related to ferry cruises in East Nusa Tenggara in real time anytime and anywhere by using a computer or smartphone connected to the internet network this application is made using PHP and Mysql programming languages
Validitas Modul Interaktif Berbasis Android pada Siswa Kelas VII SMP

This study aims to create a valid product to support learning resources for grade VII students at SMP Negeri 2 Sungayang, which is an interactive module. The module is designed in such a way that it can be accessed via android educators and students, so that it can make it easier for educators and students in implementing the online learning process. The type of research that researchers use is the type of research development or Research and Development (R&amp;D) using the 4-D development model. This research only developed 3-D, due to time and cost limitations, and the research was carried out in the middle of the Covid 19 pandemic, namely the define stage, design stage, development stage. The sample of this study was class VII at SMP Negeri 2 Sungayang. The research instrument consisted of: an interactive module validation sheet based on android. The data analysis technique is validation analysis. Based on the analysis of the research results, it was concluded that the interactive module based on android in class VII students of SMP Negeri 2 Sungayang was valid. The general criteria aspects of the product are categorized as very valid with a percentage of 82.1%, aspects of the special criteria are categorized as very valid with a percentage of 81.25%, practical aspects are categorized as valid with a percentage of 77.08% and technical aspects are categorized as valid with a percentage of 72, 2%. Overall the android-based interactive module has an average percentage of 78.15% validity, which means it is included in the valid category.
2015 개정 교육과정 생명과학 교과서에 제시된 비유의 특성

This study investigated analogies presented in 2015 revised curriculum life sciences I and II textbooks and analyzed the shared attributes, expressions, and roles of analogies. According to the analysis of analogies in eight types of life science I textbooks, 251 analogies were presented overall, with an average of 31.4 analogies being used per textbook. According to the analysis of five life science II textbooks, the total number of comparisons was 176 and the average number was 35.2. According to the analysis of the analogies presented in the Life Science I textbook according to the shared attributes, the most functional attributes were found, followed by structural/functional analogies. In the case of Life Science II textbooks, functional and structural attributes were shown in order. According to the analysis according to the expression method, language/picture forms were the most common in the textbook of Life Science I, followed by language analogies and picture analogies. In the textbook “Life Science II”, language/picture comparisons, and drawing analogies were shown. According to the analysis based on the abstract of figurines and targets, both life sciences I and II textbooks had the most specific forms of figurative/abstract targets. However, it has been shown that there are still many forms of focus on specific areas in terms of degree of response and role. This suggests the need for a multilateral review of the use of analogies in the development of life science textbooks in the future.
Analysis of Information Technology Security Management UKSW SIASAT Using ISO/IEC 27001:2013

IT security management is essential for organizations to notice the occurring risks and opportunities because they will profoundly affect the ongoing business processes within the organization. The Satya Wacana Academic Information System, more often called SIASAT, is an IT component playing an essential role in running core business processes at Satya Wacana Christian University under the control of the Information Systems and Technology Bureau. At this time, the implementation of SIASAT has been going well, but there are still some obstacles. Lack of human resources is one of the findings and one it becomes of the most significant risks as it affects the use of infrastructure and information security. This research was conducted using the international standard ISO/IEC 27001:2013, prioritizing information security by taking a planning clause focusing on risk assessment. From the results of this study, there were nine recommendations given. Some of which were the most important, i.e., creating separated standard operating procedure documents for SIASAT, which previously were still affiliated with the Academic Administration Bureau; distributing job descriptions; and providing clear and documented access rights for everyone. It is expected that this research can reduce the occurring risks and can be considered for establishing improvements to enhance academic services in the future.
Unleashing Ansible with Cloud for Automation

As the proliferation of cloud, Virtualization, and automation is increasing in today’s information technology environment, the need arises to abide with this dominance. In this paper, our focus is on downloading the cloud builds from Jfrog artifactory using the URL provided and store it in a prescribed path locally. And, the downloaded file must be installed. To do this, we go with the configuration management tool- Ansible (DevOps tool) which reduces human- intervention when needed to be performed for more than one machine, which reduces a tedious repetitive task. And for the ease of use, we have built a GUI for the same.
MENINGKATKAN HASIL BELAJAR IPS MELALUI PENGGUNAAN PEMBELAJARAN SNOWBALL THROWING KELAS VIII SMP NEGERI 2 KECAMATAN KELAYANG KABUPATEN INDRAGIRI HULU

The objectives of this research are: 1) To find out the implementation of teaching activities of teachers by using Snowball Throwing models for eighth grade students of SMPN 1 Kelayang, Indragiri Hulu Regency, 2) To find out the implementation of student activity learning using Snowball Throwing models for VIII grade students of SMPN 1 Kelayang Regency of Indragiri Hulu, 3) To find out the extent of the success of teaching and learning by using Snowball Throwing models in class VIII students of SMPN 1 Kelayang Regency of Indragiri Hulu. This research was conducted in 2 cycles. The subjects in this study were all students of class VIII1 of SMPN 1 Kelayang, Indragiri Hulu Regency, amounting to 33 people. The data analysis technique in this research uses descriptive quantitative. The results showed that student learning outcomes have increased with the average daily cycle repetition is 68.63% and increased on the daily cycle II replications by obtaining an average value of 72.87%. Then it can be concluded that by using the Snowball Throwing model can be the results of learning history subjects of eighth grade students of SMPN 1 Kelayang, Indragiri Hulu Regency.
PENGGANTIAN SISTEM ABSENSI KARYAWAN PT. ABC DARI ID CARD MENJADI SISTEM DETEKSI WAJAH

The research was conducted to improve employee discipline in having absenteeis. PT. ABC has been using the attendance system with ID Card for 10 years. When employees forget to bring their ID cards, there will be a lot of manual work which is wasteful and can reduce employee productivity. In this study, an analysis of additional jobs was carried out because employees did not carry ID card.When the employee does not carry an ID card, the employee must write down the data in the book provided, the security officer must make sure the employee writes the data correctly, then delivers the book every morning to the HR payroll staff and takes it back every afternoon and the HR payroll staff must enter employee data manually to attendance data.Based on these conditions, the company, in this case the HR and IT department and in collaboration with all related departments, changed the attendance system from using an ID Card to a system with face detection.The face is a unique and inherent part of the body for every employee.The face is declared unique because everyone's face is different from one another even though they are twins.The application of the attendance system with face detection has an effect on improving employee discipline and productivity.
Predicting heart disease using ant colony optimization / Siti Aisyah Ismail

The death rate due to heart disease has caused alarming concern among health experts in Malaysia as it increases year-on-year. They have to make more effort to detect heart disease, but it is not an easy task. Thus, this study used the Ant Colony Optimization algorithm with data mining called Ant-Miner to predict heart disease because it is said that Ant-Miner’s rule list is simpler than other rule induction algorithms. The aim of this study is to develop a classification model for predicting heart disease. The data set is discretised by converting the numeric attributes to the nominal attributes by using WEKA as a tool. After that, the dataset was run in the Gui Ant-Miner to find the rules and percentage of accuracy in predicting heart disease. The results of Ant-Miner’s accuracy are later compared to J48 for better classification. The dataset was run using a different number of ants from 100 to 400 to observe changes in accuracy, number of rules and number of conditions. In addition, rules and condition number were also observed when the value of the minimum case per rule was changed. The cross-validation number was set to k=10 times throughout the test due to low bias and variance, while other parameters are set with fixed value, such as maximum uncovered cases equal to 10, convergence rules equal to 10, and iteration numbers equal to 100. In conclusion, it was found that the accuracy of Ant-Miner was 78.85% while the accuracy of J48 was 73.93%, indicating that Ant-Miner had better accuracy compared to J48.
일제강점기 조선총독부의 교육정책과 일본어 교육의 실태 – 사회적 교육기관을 중심으로 -

In this book, based on the period of promulgation of the Chosun Education Ordinance, which was the basis of education policy in colonial Chosun, the actual situation of Japanese language education in social education institution is summarized as follows from a diachronic perspective. Through the 1st Chosun Educational Ordinance, education ideology and though were also taught to nurture loyal and good citizens through obligation of dumbing down policy and reading of the imperial Rescript on Education, and the 2nd Chosun Educational Ordinance, which was implemented during the period of cultural rule in the 1920s, deceived Chosun in the name of Japan’s internal extensionism and temporary movement, destroyed Chosun language in the academic system, and strengthened spread of Japanese. The 3rd Chosun Education Ordinance, which was enforced after the outbreak of the Sino-Japanese War in 1937, was a precursor to the war supplies from colonial Chosun and the implementation of the conscription system for the youth of Chosun, reflecting the wartime system to create the Imperial people’s Generation who could obey the emperor. Finally, the 4th Chosun Education Ordinance, as a ‘wartime education ordinance’ resulted in a means of the training warriors for mobilization of the wartime system through the reorganization of the educational system.
WM Sensation Sdn. Bhd / Wan Mursyidah Wan Azrie

Our company provides people with tracking device called WM tracker especially for those who often lost or misplaced their items. It is a tracker that comes with blinker, sound and various designs that synchronized with an app in our phone. Our products are very simple, user friendly and effective to use. We offer high quality and design at affordable prices. Our products, design and finishes will continue to evolve based on consumer trends and demands.
OntoROPA D1: State of the Art and Ambition

OntoROPA is a projectproposal to facilitate smart privacy legal compliance using technology capable ofproviding semantics, intelligence, and trust. This is an innovative proposalfor the targeted marketplace—i.e. the legal compliance marketplace— since thereare no solutions capable of simultaneously providing the three properties mentioned.OntoROPA deals with the creation and maintenance of a critical piece of legalcompliance required by the GDPR, the Records of Processing Activities (ROPA).
Educación emocional y su vinculación en el proceso de aprendizaje en tiempos de pandemia

This research article reviews and analyzes emotional education and its link to the learning process in times of pandemic in family members and teachers of the IV Centenario School in the city of Loja, Ecuador; its general objective is to reveal emotional education as a generator of well-being in the learning process in times of pandemic. Theoretical references on emotional education are based on Steiner and Perry (1997) and Bisquerra (2000, as cited in Vivas Garcia (2003). For the methodology, the qualitative paradigm was used, with the method oriented towards the deep understanding of educational phenomena to interpret reality; to collect the information, the semi-structured interview was applied, it was directed to parents and teachers; and, as an analysis, the triangulation based on five categories that emerged and were contrasted. In conclusion, it was found that emotional education must go hand in hand with the learning process to generate well-being in times of pandemic; its absence causes emotional disorders (fear, anxiety and depression).
Analisis Regresi Faktor-faktor yang Mempengaruhi Prestasi Belajar Siswa kelas XI di MAPK Al-Hidayah Baron Nganjuk

Factors are things, circumstances, or events that play a role and influence things that will happen. The level of student achievement depends on the factors that influence it. There are two factors that can influence, including factors contained within students (internal factors) and factors that exist from outside students (external factors). This study aims to determine the factors that influence the learning achievement of class XI MAPK Al-Hidayah Baron Nganjuk students. This research is quantitative, the research design uses multiple regression analysis. Collecting data through documentation, questionnaires or questionnaires and report cards. The result of this research is a regression analysis model formed by predictor variables that have a significant influence on student learning outcomes, namely physical variables, interest variables, motivation variables and family environment variables. Variables that do not have a significant effect on the model are the IQ variable, the school environment variable and the community environment variable. The conclusion of the study is that the factors that affect the learning outcomes of class XI students at XI MAPK Al-Hidayah Baron Nganjuk are IQ factors, physical factors, motivational factors, family environmental factors, school environmental factors.
Smart Social Distancing and Contact Tracing System

In public health, social distancing is a set of non- pharmaceutical interventions intended to prevent the spread of a contagious disease by maintaining a physical distance between people and reducing the number of times people come into close contact with each other. The project includes a low- cost system that helps people in maintaining a safe distance from each other, and in reducing surface contact. It includes an application that maintains the database of a user based on their individual Universally Unique Identifier (UUID) that sends an alert to the user when they are suspected to be a primary contact. This paper consists of a detailed explanation of system implementation and its working along with expected outcomes of the system and the technology adapted into making this system.
Generative Adversarial Neural Architecture Search

Despite the empirical success of neural architecture search (NAS) in deep learning applications, the optimality, reproducibility and cost of NAS schemes remain hard to assess. In this paper, we propose Generative Adversarial NAS (GA-NAS) with theoretically provable convergence guarantees, promoting stability and reproducibility in neural architecture search. Inspired by importance sampling, GA-NAS iteratively fits a generator to previously discovered top architectures, thus increasingly focusing on important parts of a large search space. Furthermore, we propose an efficient adversarial learning approach, where the generator is trained by reinforcement learning based on rewards provided by a discriminator, thus being able to explore the search space without evaluating a large number of architectures. Extensive experiments show that GA-NAS beats the best published results under several cases on three public NAS benchmarks. In the meantime, GA-NAS can handle ad-hoc search constraints and search spaces. We show that GA-NAS can be used to improve already optimized baselines found by other NAS methods, including EfficientNet and ProxylessNAS, in terms of ImageNet accuracy or the number of parameters, in their original search space.