Reviewerly/exHarmony huggingface dataset:
IBD Scoring System based on AI

Inflammatory bowel disease consists of Crohn's disease and ulcerative colitis.Recently, the demand for endoscopy from ulcerative colitis patients is rapidly increasing, and since ulcerative colitis is an inflammatory bowel disease that repeats improvement and worsening throughout life, continuous management is required.MES is mainly used as an index to evaluate the endoscopic disease activity of ulcerative colitis.In this paper, we propose a system that automatically analyzes and scores MES evaluation indicators with excellent accuracy through artificial intelligence technology.Faster R-CNN algorithm was improved and applied for automatic scoring analysis.In order to evaluate the accuracy of the artificial intelligence algorithm, the accuracy of the MLP, SVM, and CNN models and the method proposed in this paper were compared and evaluated.As a result of comparative evaluation, an average accuracy of 88% was derived to prove the performance.Such a system can be used as an auxiliary means for endoscopic procedures in the clinical field.The results of this study using endoscopic imaging can serve as an opportunity to improve
Donbas geoelectrical structure

The Donbas was formed as the result of Late Devonian rifting of the East European craton. During the Carboniferous, the subsidence of the basin and sedimentation were at their maximum, and a 15-kilometer stratum of Carboniferous deposits formed in the Donbas. The total thickness of the deposits reaches more than 20 km. The next important event was folding, which occurred in the Late Triassic — Early Jurassic and Late Cretaceous — Early Tertiary. The inversion lifted the upper part of the folded Donbas and subsequent erosion exposed the Carboniferous coal-bearing strata on the surface of the earth. Deep electrical conductivity was studied by the methods of magnetovariational profiling (MVP) and magnetotelluric sounding (MTS). The first large survey (13 long-period MTS sites and 32 MTS points) was carried out in 1986; in 1988 another 30 MTS were performed. In 2012-2013, a profile of 15 MVP-MTS sites was made with modern instruments that allow obtaining more accurate results. The data interpretation yields the following conclusions. The intense Donbass electrical conductivity anomaly (DAE) runs along the main anticline of the folded Donbass. In the northwest, it continues in the DDD, in the southeast — on the Karpinsky swell. DAE parameters obtained by the MVP method: Based on the frequency response of the anomalous field, the total longitudinal conductance G = (8±2)×108S×m was estimated. Profile graphs of the anomalous field of geomagnetic variations give an estimate of the maximum possible depth of the anomalous currents center hmax.c.curr, which depends on the variations period. For DAE at the maximum frequency response Т0≈3600 s, it turns out to be equal to hmax.c.curr=18±2 km. The upper edge of the anomaly is estimated from MTS data. Most of the available 70 MTS ρк curves begin at periods of 0.1—1 s from approximately the same level of 15 Ohm·m±half an order of magnitude. This means that in the Donbass, the rocks of the upper approximately half-kilometer layer have, as a rule, electrical resistivity in the range of 5—50 Ohm·m. Deeper, the resistivity can increase to hundreds and thousands of Ohm·m or decrease to units or fractions of Ohm·m. An analysis of the MTS by area showed that objects of low resistance (LRO) are located in two conductive bands, the upper edge of which varies from 0.3 to 5 km. The bands are parallel to the DAE axis and can be considered as some part of the anomaly. A very large value of G leads to the assumption that the anomalous body extends to a considerable depth. When compared with the data of other geophysical methods, it turned out that the DAE spatially coincides with an intense (up to 90 mW/m2) linear anomaly of the deep heat flow. This fact suggests that the nature of the DAE lower part can be a partial melting of fluid-enriched heated local rocks or intrusion of mantle magma. The obtained geoelectric results support the idea of the modern tectonic activation in Donbas.
IMPLEMENTATION OF A PERSONALITY-ORIENTED APPROACH IN HIGHER EDUCATION IN FRANCE

The article reveals the question of the introduction of a personality-oriented approach to the education system of France, higher education system in particular. It has been proven that it has been a part of the state educational policy since 1989. Due to the practical implementation of the personality-oriented approach, the learning process was considered as a project and activity of a dynamic and fully involved individual in the process of its development in accordance with its individual needs. It has been proven that the personality-oriented approach in the system of higher education involves the development of differentiation and personalisation of the learning process. Differentiation in education is realised by dividing the content of training into simple segments (modules), which are adapted to the already acquired knowledge of students or fill in the gaps of the subject. The purpose of personalisation is to help the student to determine his / her existing knowledge and make his / her own choice, i.e., to develop his / her own educational project. We have found out that the concept of project, personal and professional at the same time, is dominant in this model of learning. It has been confirmed that personality-oriented learning in modern France is more of a training. The methodologist plays the role of a “coach” who observes, outlines ways, directs the mental processes of the pupil / student.
The Effectiveness of the Functional Training for Pharmacy and Food Junior Expert Supervisors during Pandemic with Blended Learning Methods

The Functional Training for Pharmacy and Food Junior Expert Supervisors has been conducted since 2019 with classical face-to-face method (offline). In early 2020, the method was replaced with blended learning methods using asynchronous and synchronous modes. The Covid-19 Pandemic requires the synchronous approach, initially conducted offline face-to-face with the participants, to replace online meetings using a video meeting application. This study aims to analyze the effectiveness of the functional training for pharmacy and food junior expert supervisors with the blended learning method. This research performed a quantitative parametric method using the Mann-Whitney test method. The number of offline training respondents was 59 people, and online training (blended learning) respondents were 753 people. The variable used to measure the effectiveness was the training evaluation. The study results indicated that the online activity of the Pharmacy and Food Junior Expert Supervisors was more effective than the offline training. This result was proved by The Mann-Whitney test method using SPSS. The evaluation result before the Covid-19 Pandemic with the classical method was significantly different from Blended learning during the Covid -19 pandemic, which was more effective. In this study, researchers also employed SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis to explore essential aspects for continuing this training. Thus, the blended learning method is effective and continues using an online video meeting application
What Makes Interactive Art Engaging?

Interactive art requires people to engage with it, and some works of interactive art are more intrinsically engaging than others. This article asks what properties of a work of interactive art promote engagement. More specifically, it examines four properties: (1) the number of controllable parameters in the interaction, (2) the use of fantasy in the work, (3) the timescale on which the work responds, and (4) the amount agency ascribed to the work. Each of these is hypothesized to promote engagement, and each hypothesis is tested with a controlled user study in an ecologically valid setting on the Internet. In these studies, we found that more controllable parameters increases engagement; the use of fantasy increases engagement for some users and not others; the timescale surprisingly has no significant on engagement but may relate to the style of interaction; and more ascribed agency is correlated with greater engagement although the direction of causation is not known. This is not intended to be an exhaustive list of all properties that may promote engagement, but rather a starting point for more studies of this kind.
Peningkatan Aktivitas Belajar Siswa Melalui Metode Kerja Kelompok Dengan Bantuan LKPD di Aplikasi Whatsapp Pada Kelas IX Semester Ganjil SMP Negeri 2 Bintan TA 2020/2021

The purpose of this study is to: to find out how much increase in learning activities occurs after using the group work method with the help of LKPD in the WhatsApp application in online learning.&#x0D; This research is a class action research (PTK). The subjects of this study were students of class IX D SMP Negeri 2 Bintan with 34 students. The object in this study is the mathematics learning activity of students of class IX D SMP Negeri 2 Bintan in the 2020-2021 academic year on quadratic equation material. The data collection technique in this study was carried out by observing the activities carried out by students during the online learning process. The data analysis technique was carried out by calculating the average percentage of student activities.&#x0D; The learning process uses the guided discovery learning model with a scientific approach and discussion method. Early in the learning process, the teacher prepares students to carry out group discussion activities to solve problems in the prepared LKPD. After the students finished discussing in groups, then each group presented the results of the discussion in front of the class. At the end of each lesson, students are asked to do an evaluation that is done individually. The evaluation score obtained by the students was then calculated for the class average and the number of students who reached the KKM score. The results showed that after the use of LKPD through WhatsApp in mathematics learning, there was an increase in student activity from cycle 1 to cycle 3. In cycle 1, the percentage of student activity was 41.17%, in cycle 2 it reached 58.97% and in cycle 3 reached 76.07%. It is suggested for further mathematics learning to use LKPD through WhatsApp on other materials as an alternative source of learning for students so that students' learning activities increase.
STEM-EDUCATION PRINCIPLES IN THE FOREIGN-LANGUAGE COMMUNICATIVE COMPETENCE BUILDING (ON THE DATA OF NON-LANGUAGE MAJOR STUDENTS)

As the title implies the article addresses the subject of STEM-education principles in foreign-language professional communicative competence building. Particular attention is given to the STEM-approach implementation at the non-language faculties, by psychology and physical rehabilitation students, in particular. The investigation summarizes some of the results already achieved in this field and present different researches’ views on the given topic. The paper is interdisciplinary in nature and written at the turn of various fields of science: humanities, social, natural, computer and information sciences. It is stressed that STEM is not a separate discipline but a kind of knowledge integration that allows synthesizing of multiple knowledge models into a common one. The articles attempts to reveal the key stages of STEM-education elements application. It is drawn the attention that STEM-oriented approach in language learning create innovation environment where students develop in equal measure hard- and soft skills, uncover their creative capacity and engage in collaboration and networking. The research distinguishes and analyzes the characteristic features and the role of the project method in STEM-oriented learning. Considerable attention is paid to the specific socio-psychological characteristic of Generation Z. It is concluded that present-day education tends to look for the new methods, approaches, technologies and STEM-approach is one of the best ways out in modern educational process modernization and updating.
Problem issues of application of electronic evidence in the economic process

The scientific work reveals the topical issue of the role and possibility of using electronic evidence in business, as it is controversial and problematic today, namely the legal regulation of their use in commercial litigation, which is primarily due to the discussion of scholars and lawyers on the institution of evidence and proof in commercial litigation. The main reason for the emergence of electronic evidence in the business process, namely - integration into European institutions. The concepts of "electronic proof" and "electronic form of proof" are defined. The paper also presents the legal nature of the presentation and evaluation of electronic evidence. The peculiarities of its application are determined, which consist in the recognition and involvement of electronic evidence in the case, which are represented by the participants in court. The reasons for the controversial issues regarding the interpretation of the concept of "electronic evidence", as well as the possibility of their application in resolving commercial disputes. The opinions of scientists on the concepts: "electronic proof and electronic form of proof" are analyzed and the features that distinguish them from other types of evidence are singled out, namely: not the material form of electronic evidence; existence of a technical information carrier; the ability to transfer or copy to different devices without losing content. The main ideas and statements of the scientific community on the understanding of the concept of "electronic proof" and the possibility of using electronic forms of proof in establishing the truth in economic and legal conflict are studied.&#x0D; The main methods of presenting and examining electronic evidence related to the possibility of exercising the right to judicial protection in any way and methods that do not contradict procedural law are identified.&#x0D; We noted that the ability to use electronic evidence in court is recognized as a progressive innovation. However, the procedures for registration, submission and involvement of such documents are quite complex and problematic, which in turn leads to the need to improve its legal regulation and legislative consolidation.
Development of innovative courses to improve teaching and learning methods -Focusing on the case of operation of the comprehensive design subject-

Development of innovative courses
USING YOUTUBE TO IMPROVE STUDENTS’ WRITING ABILITY

This study aims to determine the improvement of students' ability in writing descriptive text using YouTube media. The research was conducted from August to September 2021 on first-grade students of SMAN 3 Bunta. This research is quantitative research with 29 students of class X MIA SMAN 3 Bunta as research subjects. In searching for research data, a written test was used which contained pre-test and post-test. The instrument is given to find out how far the students' writing ability is before and before the test. The results showed that the t-count was 5.825. Therefore, the t-table with a one-tailed significance value is 0.05, and it is found that the t-table is 1.701. This shows that the t-count is higher than the t-table. In other words, there was a significant improvement in students' writing ability after using YouTube. Therefore, this research hypothesis can be accepted. The mean pre-test score was 53.17 and the mean post-test was 68.31. This means that the average score of students is increased by 15.14. Thus, the results of the study conclude that using YouTube can improve students' ability in writing descriptive text at SMAN 3 Bunta.
Unlocking Government Data to Support and Evaluate Scientific Research: An Overview of Selected Papers from the Value of Science Conference

subchapter: ''(1) AGENCY.-Theterm 'agency' means an agency referred to under section 901(b) of title 31.''(2) DIRECTOR.-Theterm 'Director' means the Director of the Office of Management and Budget.''(3) EVALUATION.-The term 'evaluation' means an assessment using systematic data collection and analysis of one or more programs, policies, and organizations intended to assess their effectiveness and efficiency.''(4) EVIDENCE.-Theterm 'evidence' has the meaning given that term in section 3561 of title 44.''(5) STATE.-Theterm 'State' means each of the several States, the District of Columbia, each territory or possession of the United States, and each federally recognized governing body of any Indian Tribe, band, nation, pueblo, or other organized group or community which is recognized as eligible for the special programs and services provided by the United States to Indians because of their status as Indians.''(6) STATISTICAL ACTIVITIES; STATISTICAL AGENCY OR UNIT; STATISTICAL PURPOSE.-Theterms 'statistical activities', 'statistical agency or unit', and 'statistical purpose' have the meanings given those terms in section 3561 of title 44. '' § 312. Agency evidence-building plan''(a) REQUIREMENT.-Thehead of each agency shall include in the strategic plan required under section 306 a systematic plan for identifying and addressing policy questions relevant to the programs, policies, and regulations of the agency.Such plan shall contain the following:''(1) A list of policy-relevant questions for which the agency intends to develop evidence to support policymaking.''(2) A list of data the agency intends to collect, use, or acquire to facilitate the use of evidence in policymaking.''(3) A list of methods and analytical approaches that may be used to develop evidence to support policymaking.''(4) A list of any challenges to developing evidence to support policymaking, including any statutory or other restrictions to accessing relevant data.''(5) A description of the steps the agency will take to accomplish paragraphs (1) and (2).''(6) Any other information as required by guidance issued by the Director.''(b) EVALUATION PLAN.-The head of each agency shall issue in conjunction with the performance plan required under section 1115(b) of title 31, an evaluation plan describing activities the agency plans to conduct pursuant to subsection (a) of this section during the fiscal year following the year in which the performance plan is submitted.Such plan shall-''(1) describe key questions for each significant evaluation study that the agency plans to begin in the next fiscal year; ''(2) describe key information collections or acquisitions the agency plans to begin in the next fiscal year; and Lists.
Strengthening IoT Security with Blockchain Integration

The Internet of Things (IoT) has become one of the major trends in recent years. This new paradigm is at the center of technological innovations and represents a fast-growing sector that is implemented everywhere and aims to facilitate our daily lives. However, security problems related to this new concept remain the most prominent concern since the traditional security architecture adopted for the IoT is still not efficient and reliable. The present paper will discuss the most significant IoT-related security issues and propose a comprehensive approach based on Blockchain to improve IoT security. Integrating Blockchain in IoT aims to increase trust, security, transparency, and data traceability in IoT applications.
Adherence to Anticoagulation Ambulatory during the Beginning of Coronavirus Pandemic

INTRODUCTION: Treatment with Vitamin K Antagonists is already proven to be significant in reducing thromboembolic events in patients with indications for systemic anticoagulation. In the context of ambulatory adherence, the SARS-CoV2 coronavirus pandemic emerged as a challenge for managing patients undergoing anticoagulation. &#x0D; &#x0D; METHODS: To avoid crowding and follow the recommended measures of social distancing, the Anticoagulation Ambulatory of the Hospital Universit&amp;aacute;rio de Santa Maria started to adopt a differentiated model of care, with a collection of hospital prothrombin time and immediate home return, followed by teleconsultation, with medication adjustment, as necessary. The present study aimed to assess adherence to the new care model, as well as the profile of patients seen. A retrospective cohort study was conducted, analyzing consultations between March and May 2020. &#x0D; &#x0D; RESULTS: The results demonstrate a low-educated population (76% had completed elementary school at most). The most common indications for the use of oral anticoagulation were atrial fibrillation (33.6%), followed by mechanical aortic valve prosthesis (31.3%) and mechanical mitral valve prosthesis (17.2%). Regarding adherence, especially to blood collection in the scheduled period, there was low adherence in the initial weeks of the pandemic declaration, with substantial improvement in adherence in the last two weeks of analysis. &#x0D; &#x0D; CONCLUSION: Determining the clinical characteristics and profile of patients helps to determine the local needs of this population and implement active search strategies to improve adherence rates, which may reduce unfavorable outcomes.
Review on Human-Computer Interaction: An Evolution of Usablility

Abstract: This paper's goal is to give a broad overview of the field of Human-Computer Interaction. The basic definitions and terminology are covered, as well as a study of existing technologies and recent breakthroughs in the field, popular architectures used in the design of HCI systems, including unimodal and multimodal configurations, and HCI applications. A major goal of human-computer interaction research is to make systems more usable, valuable, and to give users with experiences tailored to their specific knowledge and goals. In an information-rich environment, the challenge is not just to make information available to individuals at any time, in any place, and in any form, but also to keep it up to date as per current trends and demands. Keywords: HCI - Human Computer Interaction, Multimodal HCI, Unimodal HCI, MMHCI - Multimodal HCI, UX - User Experience.
A Study on US AI and Algorithm Regulatory Policy Analysis

This study analyzes cases of AI technology and algorithm regulatory law and policy introduced by the US federal and state governments up to date.To this end, this study analyzed policies and legislation related to AI technology and algorithm regulation introduced by the US federal and state governments so far.We have four findings.First, the US administration tends to regulate AI technologies comprehensively.There is no agency that oversees AI-related regulations, and each department discovers and discusses individual regulatory tasks in various fields.Second, while laws restricting the use of specific AI technologies are not often enacted at the federal level, active discussions and legislation are taking place at the state level.Third, the federal government pays the most attention to AI development in terms of national security.Fourth, the state government tends to legislate regulations on a specific AI technology when negative public opinion on that technology is formed and the regulatory demand for that technology grows.This study examines the trends of AI law and policy in the United States, and shows a variety of meaningful policy approaches to AI regulatory policy.