Reviewerly/exHarmony huggingface dataset:
Virtual Reference Service through Wiki site Developed by MediaWiki: An effective tool for Librarians in COVID-19 Pandemic Scenario

The paper reveals the responsibility of the library professionals in present world which is severely affected by COVID-19 pandemic.Everyone aware of COVID-19 pandemic, it is very badly affected on student's life in the name of lockdown.A Librarian how to face?How to serve the students?And what is the role of Librarians in COVID-19 pandemic situation is described in this paper.The paper briefly explains how library professionals can provide effective virtual reference service to user community by using MediaWiki software and open access information sources.
ПРЕПОДАВАНИЕ ШКОЛЬНОЙ ФИЗИКИ В УСЛОВИЯХ STEM ОБРАЗОВАНИЯ

This article reveals the problem of the formation of a modern style of thinking, a logical culture among students in STEM education. The modern educational system is aimed at orienting the student to incentives and assessments received from the outside, from society. In the conditions of rapidly developing information technology, it became possible to more clearly demonstrate many “real experiments” in real time using the knowledge gained in the lessons. In particular, we analyzed the effectiveness of using the STEM condition in physics lessons. We examined the benefits of STEM technology. A study of two identical lessons was carried out in which we prove that the new approach improves the interest and cognition of students. The use of STEM technologies in physics classes shows an improvement in the quality of education, as well as attracting students to the world of science.
Mistakes and Difficulties Analysis of Junior High School Students on The Pythagorean Theorem Material and its Alternative Solutions

This study aims to analyze the mistakes and difficulties of students in the Pythagorean theorem and its alternative solutions. The sample was selected by purposive sampling. Evaluative analysis was carried out on the results of tests, documents, and interviews with eighth grade stu­dents at SMP Negeri 1 Masaran. Students' mistakes were discovered: incorrectly changing the Pythagorean formula from a square to a root form, determining the side length of a special right triangle, and making a sketch of the problem form a story. The causes of student mistakes include: objects in the form of facts of quadratic symbols and square roots are ignored, difficulty under­standing concrete facts in special right triangles, weak to transfer ideas from problems presented with pictures, unable to describe contextually a right triangle sketch of the problem form of the story, and students tend to use routine procedures rather than non-routine procedures. The alter­native solution is to strengthen numeracy literacy and increase the practice of using non-routine procedures in solving problems.
An International Virtual Workshop on Global Seismology and Tectonics (IVWGST-2020)

Abstract An International Virtual Workshop on Global Seismology and Tectonics (IVWGST-2020) was organized by the Geoscience and Technology Division of Council of Scientific and Industrial Research—North East Institute of Science and Technology, Jorhat, India from 14 to 25 September 2020. This workshop predominantly catered to undergraduate, postgraduate, and Ph.D. students, scientists, and academicians from across the globe. The primary motive of IVWGST-2020 was to inspire the participating students, perturbed by the unprecedented situation brought about by the COVID-19 pandemic, with quality lecture sessions, so as to lift their spirits. The virtual workshop served as a conduit for the students and researchers to directly interact with several pioneers and prominent geoscience researchers from around the world. Lectures, via Microsoft Teams, were given by 15 eminent speakers from diverse geoscience forums and institutions, and were attended by more than 1000 participants, mostly students and researchers, from 30 different countries. This report briefly summarizes the agenda, describes our experiences hosting the virtual workshop, and documents the challenges faced.
An Advance Approach toward Sentiment Analysis using Swarm Intelligence

Modernization is the key feature for the development of Society. With the timespan people are making growth with trends in technology. Around the decades, there were many technologies which have been stepped up over the industry and made the transformation in the society and have made tremendous development throughout the world. Similarly, In the 21st decades Social media (like Facebook, Twitter, what’s app, Instagram &amp; many more) have become one of the emphasized network mediums. Millions of people are using social media to get in touch with people staying far away from them. There are millions of data over it which is non-hierarchical and need to store and use it for feedback and other usage. Not only in Social Media, in the business &amp; marketing sector too, customer feedback plays a crucial role. For maintaining and segregating data in a systematic way, sentiment analysis is being used which makes the task easier and helps to understand the data in a better way. In this paper, we are presenting a sentiment analysis approach using Swarm Intelligence, which could be more beneficial in such tasks to solve the complex problem. The concept is correlated with technology Artificial Intelligence.
Statistical Reliability of 10 Years of Cyber Security User Studies

Abstract Background. In recent years, cyber security user studies have been appraised in meta-research, mostly focusing on the completeness of their statistical inferences and the fidelity of their statistical reporting. However, estimates of the field’s distribution of statistical power and its publication bias have not received much attention. Aim. In this study, we aim to estimate the effect sizes and their standard errors present as well as the implications on statistical power and publication bias. Method. We built upon a published systematic literature review of 146 user studies in cyber security (2006–2016). We took into account 431 statistical inferences including t -, $$\chi ^2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msup><mml:mi>χ</mml:mi><mml:mn>2</mml:mn></mml:msup></mml:math> -, r -, one-way F -tests, and Z -tests. In addition, we coded the corresponding total sample sizes, group sizes and test families. Given these data, we established the observed effect sizes and evaluated the overall publication bias. We further computed the statistical power vis-à-vis of parametrized population thresholds to gain unbiased estimates of the power distribution. Results. We obtained a distribution of effect sizes and their conversion into comparable log odds ratios together with their standard errors. We, further, gained funnel-plot estimates of the publication bias present in the sample as well as insights into the power distribution and its consequences. Conclusions. Through the lenses of power and publication bias, we shed light on the statistical reliability of the studies in the field. The upshot of this introspection is practical recommendations on conducting and evaluating studies to advance the field.
Hospital Length of Stay Prediction based on Patient Examination Using General features

As of the year 2020, Indonesia has the fourth most populous country in the world. With Indonesia’s population expected to continuously grow, the increase in provision of healthcare needs to match its steady population growth. Hospitals are central in providing healthcare to the general masses, especially for patients requiring medical attention for an extended period of time. Length of Stay (LOS), or inpatient treatment, covers various treatments that are offered by hospitals, such as medical examination, diagnosis, treatment, and rehabilitation. Generally, hospitals determine the LOS by calculating the difference between the number of admissions and the number of discharges. However, this procedure is shown to be unproductive for some hospitals. A cost-effective way to improve the productivity of hospital is to utilize Information Technology (IT). In this paper, we create a system for predicting LOS using Neural Network (NN) using a sample of 3055 subjects, consisting of 30 input attributes and 1 output attribute. The NN default parameter experiment and parameter optimization with grid search as well as random search were carried out. Our results show that parameter optimization using the grid search technique give the highest performance results with an accuracy of 94.7403% on parameters with a value of Epoch 50, hidden unit 52, batch size 4000, Adam optimizer, and linear activation. Our designated system can be utilised by hospitals in improving their effectiveness and efficiency, owing to better prediction of LOS and better visualization of LOS done by web visualization.
Social Skills and Coexistence in the Virtual Classroom in University Students

The purpose of this study was to determine the relationship between social skills and coexistence in the virtual classroom of students in intermediate cycles of the four branches of a Peruvian university. The population was 11,700 students from the fourth to the seventh cycle, from which a sample of 390 students was extracted. The instruments applied were: the Social Skills Scale (EHB) and the Virtual Classroom Coexistence Scale (ECAV). The results show that there is a direct and low relationship between social skills and coexistence in the virtual classroom given that the Pearson correlation is .240, the effect size is 0.4969909 and the statistical power is 1.000. It is concluded that there is a very weak correlation; however, the effect size is large and the statistical power is very high.
Teaching Exploration of Ideological and Political Construction of Control Theory for Mechanical EngineeringCourse Based on Feedback Control

The ideological and political construction of curriculum is a new requirement for the ideological and political work in colleges and universities in the current reform plan of higher education in China. The ideological and political teaching reform of professional courses is an important way to cultivate students' national feelings. This paper discusses the necessity of the ideological and political construction of the course through the teaching exploration of integrating the ideological and political key points into the course of control theory. Based on the basic knowledge of the course Mechanical Control Theory, this paper deals with the ideological and political points as the interference factors of the traditional closed-loop teaching mode, and proposes the feed-forward and feedback teaching mode. This teaching mode makes the ideological and political courses with disciplinary characteristics and provides new ideas for solving the practical problems of ideological and political courses; At the same time, the ideological and political elements contained in the knowledge points of mechanical control theory are deeply excavated to explore a feasible ideological and political teaching path of the course Construction of Control Theory for Mechanical Engineering based on the principle of feedforward and feedback control.
Protecting the Protected Group: Circumventing Harmful Fairness

The recent literature on fair Machine Learning manifests that the choice of fairness constraints must be driven by the utilities of the population. However, virtually all previous work makes the unrealistic assumption that the exact underlying utilities of the population (representing private tastes of individuals) are known to the regulator that imposes the fairness constraint. In this paper we initiate the discussion of the \emph{mismatch}, the unavoidable difference between the underlying utilities of the population and the utilities assumed by the regulator. We demonstrate that the mismatch can make the disadvantaged protected group worse off after imposing the fairness constraint and provide tools to design fairness constraints that help the disadvantaged group despite the mismatch.
THE INFLUENCE OF E-LEARNING, BLENDEED LEARNING AND ANDROID-BASED LEARNING OF INTERST IN LEARNING ON STUDENTS JAKARTA STATE UNIVERSITY

This study aims to determine how the influence of E-Learning, Blendeed Learning, and Android-Based Learning on Student Interest in Jakarta State University. The research was conducted for a period of three months, starting from October to December 2020. The purpose of this study was to determine how much influence the learning method had on the learning interest of UNJ students and the student population of the Faculty of Economics and Social Sciences. The research method used is a survey method with a causal approach. The population in this study was a millennial population of 100 respondents. Data collection techniques using literature techniques and questionnaires. Data were analyzed using IBM SPSS Statistics 23.0. This study shows the results of a comparison between the use of e-learning.
Literatur Review: Efektivitas Madu untuk Mengobati Luka pada Pasien Diabetes Mellitus

Introduction: Diabetes mellitus is the level of glucose in the blood excess, which is caused by disruption of secretion or work of insulin hormone. Diabetics in Indonesia ranks fourth after India, China, United States. Diabetes mellitus lesions can be treated using honey, this supports the belief of the people of Indonesia about honey can cure all diseases. Method: Journal search is done electronically using database, they are: Google Scholar, Pubmed. Keywords used are honey / honey, wound / injury, and diabetes mellitus; there are 3 journals taken to create a review literature from 2010-2017. Objective: To prove the effectiveness of honey to treat patients with diabetes mellitus wound by analyzing 3 journals. Results: Honey therapy has a good effectiveness against wound healing diabetes mellitus. Discussion: The use of honey to treat wounds, effectively accelerate wound healing diabetes mellitus. Conclusion: Honey therapy effectively accelerates the healing of diabetes mellitus wounds.
Acute Coronary Syndrome Disorders Classification Based On ECG Images Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

The heart is one of the most vital human organs that acts as a blood-pumping tool to supply oxygen and essential nutrients throughout the human body. Abnormalities in the heart greatly affect the work of the heart which results in the heart not being able to carry out its duties properly. Heart defect is one of the most common causes of death in many countries, including Indonesia. Electrocardiogram (ECG) is one of the most important examination models used to diagnose various abnormal heart rhythms. An ECG records the electrical activity of the heart by showing waveforms on a monitor or printing them on paper to classify cardiac abnormalities from the electrocardiogram image using image processing and artificial neural networks. The method used for the classification is the Adaptive Neuro-Fuzzy Inference System (ANFIS) and using the Chain code to take the value of the ECG feature. There were 92 ECG images to be used which were partitioned to 70 images for training data  22 images for test data with 3 types of abnormalities, namely coronary heart disease, angina, and myocardial infarction. The test was carried out using 4 choices of ANFIS functions. The parameters used to classify coronary heart disease, angina pectoris, and myocardial infarction reached 95.23% (DR), and 29.41% (DER), using the GBell function with the number of MFs (3) and epoch (100).
Note on a theorem of Davenport

Let Λ be a 𝑛-dimensional lattice, and 𝑐1, . . . , 𝑐𝑛−1 be any 𝑛 − 1 vectors in 𝑛-dimensional real Euclidean space. We show that there exists a basis 𝛼1, . . . ,𝛼𝑛 of Λ such that $$|𝛼𝑖 − 𝑁𝑐𝑖| = 𝑂(log^2 𝑁), (1 2, where the constant implied by the 𝑂 symbol depends only on Λ and 𝑐1, . . . , 𝑐𝑛−1.
A Heuristic Evaluation Function for Hand Strength Estimation in Gin Rummy

This paper describes a fast hand strength estimation mod-el for the game of Gin Rummy. The algorithm is computationally inexpensive, and it incorporates not only cards in the player’s hand but also cards known to be in the opponent’s hand, cards in the discard pile, and the current game stage. This algorithm is used in conjunction with counterfactual regret (CFR) minimization to develop a gin rummy bot. CFR strategies were developed for the knocking strategies. The hand strength estimation algorithm was used to select a discard that balances the goals of maximizing the utility of the player’s hand and minimizing the likelihood that a card will be useful to the opponent. A study of the parameterization of this estimation algorithm demonstrates the soundness of approach as well as good performance under a wide range of parameter values.
Woordenschatgraven

Summary Many vocabulary lists in Dutch coursebooks are indirectly based on frequency research, and on the assumption that any particular selection of Latin literature might benefit from a representative list. However, the selection of merely 50 pages of Latin for Dutch senior high school education exams does not hold up to both linguistic and statistical logic. As a practical work-around a dichotomy is suggested between ‘content words’ and ‘structure words’. Whereas the latter (conjunctions, prepositions, pronouns and adverbs with a general meaning) can acceptably be selected on a frequency basis, the selection of the former (nouns, adjectives and verbs) can be tailored to the specific content of a text corpus with the help of the ‘Collatinus’ open source application. Statistical samples are taken from eight recent final examination programs and the criteria for a tailormade selection are illustrated with Cicero’s Pro Roscio (national exams 2021). Various classroom activities and consequences for editing educational resources are presented.
THEORETICAL BASES OF INFORMATION AND INTELLECTUAL COMPETENCE OF FUTURE TEACHERS OF INFORMATICS

This article reviews the research of scientists on general information and intellectual competence and gives a definition of information and intellectual competence. The possibility of digitization of education for the formation of information and intellectual competence of future teachers of computer science was studied. The structure of the information and intellectual competence of the future teacher of computer science is theoretically substantiated and formulated. The information and intellectual competencies of students were determined by the criteria of knowledge, skills and potential and presented in tabular form. The sample questions to determine the information and intellectual competence of students are based on knowledge mobility, method flexibility and critical thinking. To perform the situational task, we divided the level of performance of students into informational, improvisational, heuristic, considered laboratory work at the information level, independent work of the student with the teacher at the improvisational level and independent work of the student at the heuristic level. A generalized algorithm for the formation of information and intellectual competencies of students in the context of digitalization of education has been developed.
A Multi-scale Fusion Method for Dense Crowd Counting

We propose a dense crowd detection network, called MSFNet, which can deal with highly dense crowd scenes, make accurate counting estimation and generate high-quality density maps by deep learning. The network is mainly composed of two main parts: the front-end network uses VGG-16 as the 2D feature extraction module, and the back-end network uses convolution networks with different sizes of convolution kernels instead of linking operations. The network is composed of convolution layers, which is an easy training model. We verify our network on two representative data sets (ShanghaiTech Data Set, UCF CC 50 Data Set), and the performance has been improved.In the first data set of ShanghaiTech, the root mean square error (MSE) decreased by 10%, and the mean absolute error (MAE) and root mean square error (MSE) of the second data set both decreased by about 6%.
PENERAPAN METODE USER CENTERED DESIGN (UCD) PADA APLIKASI BUKU SAKU TKJ BERBASIS ANDROID

The Buku Saku TKJ application is a tool for vocational students majoring in Computer and Network Engineering (TKJ) to support learning materials in the TKJ major. One of the important parts in creating digital products is to create products that are comfortable for users to use by prioritizing user involvement in the process. User comfort and satisfaction when using a product is very important. Because, then the company can convey the value or use that they need to accept and feel. User Centered Design (UCD) is a process that focuses on the user or users. The purpose of this study is to apply the User Centered Design (UCD) method in making the Buku Saku TKJ application which is expected to meet user needs, resulting in a Buku Saku TKJ application design as a container for TKJ's core material. The results of the first functional test / black-box testing, namely the application can run well with 100% validity test results, meaning that the application has run according to the design that has been tested previously, while the second functional test level of user satisfaction answered Yes with an average 93.2% means that the application is able to meet the user's wishes with little room for improvement and design development.
Perceptions of Ethics in Persuasive User Interfaces

We explore the perceptions of the ethics of persuasive technology as applied to the design of user interfaces. We learn whether consumers of software see persuasion through technology as ethical, whether producers of software view the development of persuasive technology as ethical, and whether these opinions can be reconciled. This research consists of a review of relevant literature on the topic, a survey of software consumers, interviews with software producers, and an analysis of the data, resulting in conclusions intended to influence the responsible design of user interfaces in the future. We find that persuasive technology is effective, that software consumers do not necessarily recognize persuasion when it is applied to them, and that they do not generally wish to be persuaded, unless they view the motivation of the persuader as being morally admirable. Software developers, on the other hand, do not intentionally behave unethically, but are open to the development of persuasive technology, and even deceptive technology, under some conditions.
Fake Product Review Detection System Using Machine Learning

Online systems people most of the time trust in products based on product reviews and ratings. Reviews have a great impact on a company or a brand profile. The company must examine market reactions to its products. Popular reviews, on the other hand, are difficult to track and arrange. In social media, many people viewpoints are difficult to manually process. The next step is to develop a mechanism for automatically categorizing favorable and negative public feedback. Customers will be able to see how the product performs in terms of consistency, efficiency, and guidance, which will provide prospective buyers a better knowledge of the product. The applicability of web contents from suppliers in order to fulfill client requirements by evaluating beneficial input is one such unfulfilled possibility. Good and bad reviews are important in determining customer demands and gathering product feedback from customers. Sentiment Analysis is a type of text analysis that collects contextual information from text. A large number of internet mobile phone ratings are studied in this study. We divided the text into positive and negative categories, as well as feelings of disappointment, expectation, disgust, trepidation, delight, regret, surprise, and confidence. This clearly defined category of feedback aids in a comprehensive evaluation of the product, allowing consumers to make better decisions.