Reviewerly/exHarmony huggingface dataset:
Conceptual Model of Expert System-Based Smart Learning: Preliminary Analysis

Based on the observations, there were still some obstacles faced by students when they want to develop their skills, where students only become passive recipients, so that the motivation of students to learn is reduced.Moreover, in the pandemic today, where learning is carried out by online, it hampers students from mastering learning optimally, because of students cannot interact directly with teachers when facing problems.Because of this pandemic case, one of solutions that can be done in class is the information and communication technology (ICT) using in the learning process, and technology that according to the era of revolution industry (RI) 4.0 development is smart learning based on expert systems.However, in developing smart learning based on this expert system, researchers need to know what is needed both from philosophy, student learning styles and student initial conditions.Researchers also need a paradigm of how they can develop expert system-based smart learning that can be applied effectively in the classroom during the learning process.Therefore, the aim of this study is to conduct an preliminary analysis of expert system-based smart learning, which is in the conceptual model to analyze the theory of education philosophy, learning styles and multiple intelligence that supports the development of expert system-based smart learning, as well as seeing students' initial conditions before smart learning based on expert system was developed.This study uses the method of literature study and the qualitative research using the observation method.Due to the results of this research, it was concluded that philosophically, the theory of constructivism, connectivism, learning styles and multiple intelligence as well as the initial conditions of students also support the development of smart learning based on this expert system.
국가 융합 R&D 특성 분석에 관한 연구 : 텍스트분석을 중심으로

There is a growing interest in convergence. National R & D is also providing various policies and institutional support to promote convergence research. Convergence research, however, does not clearly specify its characteristics at the academic and government levels. This research proceeds with the process of collecting, refining, analyzing, modeling, verifying and visualizing national R & D data through the National Science and Technology Information Service (NTIS). The method is to derive the convergence research characteristics and to derive through text mining, focusing on the unstructured information of national R & D project data. The study confirmed that there was a difference in perception between the definition of converged research and the research site. In order to improve this, the research suggested that convergence among research subjects, collaboration among research topics reflecting various backgrounds and characteristics of researchers, and analysis of characteristics of convergence research using information were suggested in the process of establishing convergence policy.
Digitalization and Problems of the Educational Processes Based on University in the Pandemic Condition

The aim of the study is to analyze the problems that have arisen in connection with the country’s universities shift to the remote mode of educational activities during the pandemic. The research objective is: to identify problems of ensuring educational process quality, to study the experience of organizing educational activities during the pandemic. Methods: collection of the studied data, based on a student and university professors survey using questionnaires, on their attitude to the learning process in the remote learning format during the coronavirus pandemic. Systematic analysis and synthesis of the survey results were given; revealed the quantitative and qualitative characteristics of the analysis subject; summarized the experience of educational activities in the revote mode, in the conditions of intensive launch for digital transformation of the educational process. Results: the experience of the educational process digital transformation in the context of the coronavirus pandemic, at a time when only remote educational technologies were used, was generalized. The most severe problems that appeared during the emergency transition of the university to the remote mode of educational activity were indentified. Conclusions: The pandemic has changed the system of higher education, accelerated the process of implementing digital technologies, education became mixed, and the requirements for the teaching staff of the university changed. Digitalization has great potential for educational environment integration. Through digital technologies, the efficiency of the university is increasing in accordance with the goals and objectives.
THE USE OF SIMPLE PRESENT TENSE AND ADJECTIVE IN STUDENTS' DESCRIPTIVE TEXTS

&lt;p&gt;This study was conducted to know the use of simple present tense and adjectives by students in Junior High Schools in Indramayu when writing a descriptive text. The method used in this study was Descriptive Qualitative. The procedure employed includes collecting students' work, analyzing the data, interpreting them, and concluding. The result shows that: 1) In the simple present tense, students make many errors when writing a descriptive text to describe people. The most dominant errors made by the students are omission (46%), followed by misformation (33%), then addition (20%), and finally, the misordering (1%). In the use of the adjective, the most errors produced by the students are misformation (39%), followed by omission (38%), misordering (18%), and the least is addition (5%). Students' interlanguage problem usually causes the high frequency of errors made by students. They use their native language's structure in the target language.&lt;/p&gt;
About ESP Teaching

This article describes information about ESP teaching, its various features, appearances, benefits, effectiveness.
Implementing Association Mining with Weka and R

Chapter Objectives✓ To demonstrate the use of the association mining algorithm.✓ To apply association mining on numeric data✓ To comprehend the use of class association rules✓ To compare the decision tree classifier with association mining✓ To conduct association mining with R language
Library and Learning Resources: LSBU Library Summer of Learning: Digital Skills: NVivo & SPSS software

Supporting students moving from level 4 to level 5 and from level 5 to level 6 of undergraduate study through summer learning activities.
Attribute Based Data Management In Crypt Cloud

Data owners will store their data publicly cloud together with encryption andspecific arrangement of traits to get to control on the cloud information. While moving the information into an open cloud they will designate some credit set to their data. In case any endorsed cloud customer has to download the data they need to enter that particular credits set to perform further exercises on data owner's data. A cloud client needs to enroll their subtleties under the haze association to get to the information proprietor's information. Clients need to present their subtleties as characteristics along with their assignment. Considering the customer nuances Semi-Trusted Authority produces disentangling keys to comprehend power on owner'sinformation. A cloud user wants to register their details under the cloud organization to access the info owner’s data. Users want to submit their details as attributes together with their designation. In light of the client subtleties Semi-Trusted Authority produces decoding keys to understand power on proprietor's information. A client can playan honest deal of tasks over the cloud information. Within the event that the client possesses to peruse the cloud information he should enter some read related traits, and on the off chance that he possesses to compose the knowledge he should enter compose related qualities. For each and every dynamic client in an incredibly organization would be confirmed with their novel trait set. These ascribes would be shared by the administrators to the approved clients in the cloud association Sepulcher DAC authorizes dynamic access control that has productivity, since it doesn't need costly disentangling, re-encryption and moving/re-moving of monster data at the regulator side, and security since itdoesn't require expensive decoding, re-encryption and transferring/re-transferring of giant information at the overseer side, and security because it quickly denies getting to authorizations.
Monitoring active hydrothermal systems: Different tools, different rewards

A great amount of valuable information can be obtained by simple, unobtrusive methods in active hydrothermal systems to study changes due to volcanic hazards, tectonic, pre- and post-seismic activity, geochemical processes, global climate variations, and human exploitation. Near-continuous data of such variables as temperature, discharge volume, chloride flux, high frequency seismic signals from shallow boiling or geyser activity, and regional deep seismicity are all useful toward interpreting the causes of change in a hydrothermal system. Many techniques for monitoring the parameters have been developed by the world’s hydrothermal scientists. However, we have become very aware of the extremely hostile environmental effects on instrumentation placed in hydrothermal areas: corrosive gases and fluids; rapid deposition of thermophilic organic mats, sediments, or mineral encrustation; destruction by sudden eruptive activity; extreme temperature and humidity ranges, and vandalism. A number of recent methods for monitoring hydrothermal activity will be compared.
UPAYA MENINGKATKAN HASIL BELAJAR SIFAT-SIFAT CAHAYA, PEMBENTUKAN BAYANGAN PADA BIDANG DATAR DAN LENGKUNG SERTA PENERAPANNYA UNTUK MENJELASKAN PROSES PENGLIHATAN MANUSIA MELALUI METODE PICTURE AND PICTURE

This study aims to improve learning outcomes of the properties of light, the formation of shadows on flat and curved fields and their application to explain the process of human vision through the method of picture and picture in class VIII G of State Junior High School 1 Sukoharjo Semester 2 2018/2019 Academic Year. The research method uses Classroom Action Research conducted in two cycles each cycle consisting of two meetings, with four stages of research: planning, implementing, observing and reflecting. The subjects of this study were students of class VIII G of SMP Negeri 1 Sukoharjo in semester 2 of the 2018/2019 school year. With a total of 32 students. Data collection techniques used were observation, interviews, tests, and documentation. Analysis of the data used in this study is a qualitative descriptive analysis. The results of this study are to improve learning outcomes of the properties of light, the formation of shadows on flat and curved fields and their application to explain the process of human vision. This is evidenced by the increase in student learning outcomes in the first cycle of students who managed to get the KKM score, increased from 14 students or 43.75% to 21 students or 65.63% or there was an increase of 21.88% compared to the initial conditions. While in the second cycle increased to 26 students who scored above the KKM or 81.25% or there was an increase of 15.62% from the previous. Based on the results of this study it can be concluded that the application of the picture and picture method can improve learning outcomes of the properties of light, the formation of shadows in flat and curved fields and their application to explain the process of human vision in class VIII G students of SMP Negeri 1 Sukoharjo Semester 2 2018 Academic Year / 2019.
Curriculum Evaluation Model of Vocational Education Based on Big Data

Curriculum is the basic carrier to achieve the goal of talent training. Therefore, based on the perspective of work study combination, “project curriculum“, “action oriented curriculum“ and other curriculum theories of higher vocational education have become a hot spot in the field of higher vocational education research in recent years. This paper is based on the big data analysis of higher vocational colleges professional evaluation neural network model and research, in-depth analysis of the major setting of Higher Vocational Colleges important factors. In this paper, through the detailed investigation and consultation of some vocational education experts, teachers and enterprise personnel, combined with the requirements of the relevant management documents of the Ministry of education. This paper constructs a scientific evaluation index system for specialty setting and adjustment, and collects a large number of professional sample data according to the index system for simulation experiments. The results show that big data and BP neural network model are used to evaluate specialty setting and adjustment, and the subjective factors affecting specialty setting and adjustment are excluded. The results of this study have a certain reference value for the research of vocational education curriculum evaluation model.
Cyber Law Vis-À-Vis Net Banking in Indian Sector

Technological progress is like an axe in the hands of a pathological criminal” -Albert Einstein. The above-mentioned line quoted by Albert Einstein has put forth the crux of this paper more efficiently. E-Banking is a branch of E-commerce, which has been established and has drastically developed in India recently. The process of banking has been redefined completely after the establishment of E-banking to a whole new level. The process of banking has always been considered as a hectic process that consumes humongous time and effort. Net banking has made the procedures and protocols of banking simpler and easier. The simpler and easier, there is an awaiting question of internet frauds and threats, which arises as a barrier for the further development of online banking. These sorts of mala fide activities by hackers and other digital wrongdoers build a barrier to further explore the scope of technology. We can put forth the definition of cybercrime as any offense/crime committed via any computer or any other computer-based devices. The primary prey for these hackers/digital wrongdoers are the monetary related institutions like banks or any other financial institution. Nevertheless, this paper examines the various encounters and cases, where the E-banking was at stake. It will further describe the history and evolution of E-commerce in India. It will also put forth measures to battle fore-coming threats in the field of E-banking.
A NEW DENOISING PREPROCESSING APPROACH FOR IMAGE RECOGNITION BY IMPROVED HOPFIELD NEURAL NETWORK

Hopﬁeld neural network, a single-layer recurrent neural network,has been eﬀectively applied to data recognition for handwrittencharacters, letters, and digits due to its considerable fault toler-ance and self-adaptability in recent times.
Odyssey Self Reflection - Congkak / Faculty of Art and Design UiTM Cawangan Sarawak

My idea was of a childhood memory related to playing congkak which then inspired me to create artworks comprised of drawing, painting, printmaking and sculpture. I tried to demonstrate my point of view about congkak that implied the reducing interest among people in playing this traditional game. The elements and principles infused in the artworks included repetition, highlight to the form of 3D, warm and cool colour, balance of the form, symmetrical sides of the object. I used mixed techniques for printmaking artwork which were intaglio and stencil, whereas for my painting, among the materials I used were acrylic, canvas and newspaper. I personally liked materials of nature collected from the environment for my sculpture such as woods, boards, rubber tree seeds and rattan, while the selections for the drawing materials involved colour pencil, oil pastel, artline pen as well as plywood.
스마트 팩토리 도입 및 수용 요인에 관한 실증 연구 -조선기자재 기업 대상으로-

This study provides primary data for establishing policies to activate the introduction of smart factories by empirically analyzing the acceptance and adoption factors of such factories, which will be the essence of the paradigm shift of the manufacturing industry, for employees of marine equipment suppliers. To achieve this aim, 180 questionnaires were randomly distributed to employees engaged in domestic marine equipment suppliers. The responses were sufficiently complete to be included in the frequency, exploratory factor, reliability, and correlation analyses, and multiple linear regression using SPSS 18.0. Government support, top management entrepreneurship, productivity improvement expectations, and financial readiness, which were selected as important factors, were found to have a positive effect on the acceptance and adoption intention of smart factories from the marine equipment suppliers’ perspective. Based on the results, effective government support is needed to facilitate the introduction of a smart factory for marine equipment suppliers.
FAKTOR – FAKTOR YANG MEMPENGARUHI KECERDASAN INTELEKTUAL (IQ) DAN KECERDASAN EMOSIONAL (EQ) MAHASISWA JURUSAN GIZI POLTEKKES KEMENKES RIAU

Factors That influence Intelectual Question Student of Departement of Nutrition of Riau Health Politechnique. The adequate nutrition and fulfill the body need is the main determinant in brain growth and development. Brain growth and development determine the intelligence of human being. Purpose of the research to understand factors that influence IQ and EQ Student of Departement Nutrition of Riau Health Politechnique. The research as about analytic descriptive which cross sectional study design.&#x0D; The result of this research is respondent which low nutrient status have low IQ which 21,7%. Respondent which high care pattern have average IQ which 56,7%. Respondent which high social economic have average IQ which 58,3%. Respondent which normal and low nutrient status have high EQ which each 41,7%. Respondent which high care pattern have high EQ which 78,3%. Respondent which high social economic have high EQ which 80%.
Community policing and human security in Nigeria: a study of Lagos State Neighbourhood Safety Corps (LNSC) / Abdul Rauf Ambali and Akeem Ayanda Araba

The need to examine the problem of crime that has become a recurring feature in all states in Nigeria necessitates this study. There is no doubt that community policing has been very effective in crime reduction and control in several countries including the US, Israel, UK, Canada, and Japan. The devastating impacts in the face of apparently soaring levels of crime and violence on Nigerian individuals and communities especially in Lagos and other states in Nigeria require quick action. The need for community policing is critical to identifying those who are planning to carry out acts of violence. The objectives of the study are to i) ascertain the extent to which Neighbourhood Safety Corps is equipped and empowered to provide security to Lagosian; ii) investigate whether the establishments of Neighbourhood Safety Corps have reduced the rate of crime rate and improve human security in Lagos State. The paper employs a primary and secondary source of collecting data. Descriptive statistics and correlational analysis were used to analysed data and test the null hypotheses at 0.05 levels of significance. The study adopts the Normative Sponsorship Theory for its analysis. The study reveals that the provision of adequate equipment to community personal enhances the security of lives and properties. More so, the creation of community policing to support the government apparatus reduced the crime rate in any society. Based on the findings of this paper, it was recommended that government should redouble its efforts in providing sophisticated weapons and ammunition to the community policing personnel and also should encourage the establishment of partnership policing to curb the crime rate
Sobella Cosmetic / Nur Alifah Ilyana Salihen ... [et al.]

This report are going to explains about the business that ruined by me from November 2020 until December 2020. I decided to started my own business by selling a Sobella cosmetics as a dropship, for that I has been creating a Facebook Page name as Sobella.Co. In this report, it is stated that overall conditions of my business from the begining and the end of the month. For this business, I introduct the variety of Sobella cosmestics such as Lipmatte, Liptint, Eyeshadow and Blusher as my main products and selling them on my Facebook page. After register my business with Go-eCommerce, I started to posting my products on 10 November 2020 until 31 December 2020. My customers can be from any ages and genders as this products can consume to all people and because this business is ruined based on online platform therefore my customers can become from any place even from overseas. Other than that, this report also describe all the transactions on my Facebook page and it can be as my reference if I want to countinuing this business in future.
Pregunta sencilla, respuesta compleja: ¿cómo entender la covid-19?

Starting from the fact that an epidemic outbreak has become the pandemic that has affected humanity the most in the last century, an answer is provided by means of four successive questions: is an epidemic a natural phenomenon?, how has been the social response to epidemics?, is covid-19 a pandemic?, and, social sciences and humanities for the management of the pandemic? There are no obvious answers; it is argued that in order to present plausible answers, the interactions between biological and cultural issues must be considered.
Best White Mechanical Keyboard

Finding a color for your preferred mechanical keyboard can be as much fun as selecting the keyboard itself. A white mechanical keyboard gives off an ...
A Novel Example-Dependent Cost-Sensitive Stacking Classifier to Identify Tax Return Defaulters

Tax evasion refers to an entity indulging in illegal activities to avoid paying their actual tax liability. A tax return statement is a periodic report comprising information about income, expenditure, etc. One of the most basic tax evasion methods is failing to file tax returns or delay filing tax return statements. The taxpayers who do not file their returns, or fail to do so within the stipulated period are called tax return defaulters. As a result, the Government has to bear the financial losses due to a taxpayer defaulting, which varies for each taxpayer. Therefore, while designing any statistical model to predict potential return defaulters, we have to consider the real financial loss associated with the misclassification of each individual. This paper proposes a framework for an example-dependent cost-sensitive stacking classifier that uses cost-insensitive classifiers as base generalizers to make predictions on the input space. These predictions are used to train an example-dependent cost-sensitive meta generalizer. Based on the meta-generalizer choice, we propose four variant models used to predict potential return defaulters for the upcoming tax-filing period. These models have been developed for the Commercial Taxes Department, Government of Telangana, India. Applying our proposed variant models to GST data, we observe a significant increase in savings compared to conventional classifiers. Additionally, we develop an empirical study showing that our approach is more adept at identifying potential tax return defaulters than existing example-dependent cost-sensitive classification algorithms.&#x0D;
Odyssey Self Reflection - Car Modification / Faculty of Art and Design UiTM Cawangan Sarawak

Car modification is the concept of my artwork which meanthat I applied the combination of car parts and caraccessories. The element in the artwork were highlightedto the form of the car engine and other importantequipment for car racing