Reviewerly/exHarmony huggingface dataset:
Influence of Sociocultural Factors on Formation of V. I. Vernadsky’s Personal Qualities

Background and Aim of Study: The article deals with the process of formation of the outstanding scientist V. I. Vernadsky’s personality. The aim of the study: to research the main factors of the environment that influenced the development of V. I. Vernadsky’s personality in his childhood and adolescence. Material and Methods: Theoretical and biographical methods have been used in the article. The preconditions for the formation of the outstanding scientist’s personality have been analysed. The research focus is on the writer’s environment. Attention has been paid to the macro environment of Volodymyr Ivanovych as the intellectual network of the Vernadsky family. Results: The analysis of social, political and economic problems of society which influenced the formation of the outstanding scientist’s personality and his views has been presented. The influence of the main institutions on V.I. Vernadsky’s development has been analysed. The research focus is on the scientist’s family environment. Attention is paid to Vernadsky’s microenvironment. The educational conditions that can be effective in the formation of a personality’s scientific thinking have been analysed. As a result, the main factors affecting the personality’s development during university studies have been found out. The factors that influenced the formation of scientific talent in Vernadsky’s ordinary life have been studied. It has been revealed that the formation of a worldview mainly depends on general behavioural factors and rules that exist in a society or a group of people where a personality grows. Conclusions: The main macro-factors that influenced the development of the outstanding scientist’s personality were the following: a noble origin; the intellectual network of the Vernadsky family; the influence of prominent scientists who taught at university; social activity of the advanced part of society. So, micro and macro environments are an important factor in the conditions of which an individual develops.
INDONESIA LANGUAGE INTERFERENCE FORM IN BASIC PPL LEARNING THAILAND UNHASY COLLEGE SYUDENTS

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems.
School’s Strategy on Flood Disaster Mitigation Endeavor to Students of SMA Negeri 1 Welahan

The school’s strategy in decreasing disasterrisk is improving flood disaster mitigation knowledgeat SMA Negeri 1 Welahan management policy,planning and school organization is a strategy as areference to the disaster preparedness school. Thisarticle aims to determine the level of students’knowledge in disaster mitigation and school strategy infacing the flood disaster. The data analysis method istest correlation of product moment that usedquestionnaire, in-depth interviewing, directobservation, and documentation. The population of thisstudy was all of the students that is 876 students byusing stratified random sampling. The results of thisstudy are the knowledge of SMA Negeri 1 Welahanstudents about disaster mitigation in the pre-disasterphase of 79.32%,during disaster is at 66.66% and postdisaster is 63.21% that presentation is in high categorywhereas based on the correlation test there is asignificant positive relationship between the students’knowledge level to flood with the ability to dealing withflood disaster. That relationship is indicated by acorrelation result of 0.613 or p = 0.023 (p = 0.023< 0.05)high disaster mitigation. In addition, the school’sstrategy is to elevate the new school building, developmanagement policy, planning and emergency responseorganizations and SOP (Standard OperationalProcedures) related to flood disaster mitigation, that isdone as a school strategy which will be the referencefor disaster preparedness schools.
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning

Ovarian cancer is the most lethal cancer of the female reproductive organs. There are $5$ major histological subtypes of epithelial ovarian cancer, each with distinct morphological, genetic, and clinical features. Currently, these histotypes are determined by a pathologist's microscopic examination of tumor whole-slide images (WSI). This process has been hampered by poor inter-observer agreement (Cohen's kappa $0.54$-$0.67$). We utilized a \textit{two}-stage deep transfer learning algorithm based on convolutional neural networks (CNN) and progressive resizing for automatic classification of epithelial ovarian carcinoma WSIs. The proposed algorithm achieved a mean accuracy of $87.54\%$ and Cohen's kappa of $0.8106$ in the slide-level classification of $305$ WSIs; performing better than a standard CNN and pathologists without gynecology-specific training.
Bellevue Police seek public's help to ID looting suspects and arsonist who torched truck

Detectives say the arsonist threw an incendiary device into the truck of a maintenance company owner trying to convince rioters not to break into businesses.
Development of Research Interest Among Undergraduate Students During the Preparation of Final Qualifying Work (VKR) on the Example of State and Municipal Administration Educational Program

The article presents the characteristics of research interest and its development on the example of University students bachelors degree qualification, the analysis of publications of domestic and foreign authors on the subject, the factors contributing to the formation and development of research interest, its importance in the cognitive activity of the student and the results of its manifestation in the educational process of the University. The article is written on the basis of prolonged observations of students and interim results of these studies. In the analysis of the intermediate results involved the students themselves. The criteria of positive result of the development of research interest: the desire to continue learning in the magistracy, initiative and diligence in selecting topics and preparing the content of future scientific publications, participation in scientific conferences and competitions. Research interest is considered from the point of view of the continuing educational activities of the University student, is its qualitative characteristics, which confirms the perceived need of the student in independent scientific work. Currently, due to the current tasks of the students bachelors degree qualification with modern requirements to educational activities and rapidly changing conditions of modern life and the demands of implementation in the profession, creativity becomes a necessary component of cognitive activity and its specific directions. The article considers creativity as the main outcome of interest and the possibility of further professional development. The paper proposed specific measures in order to develop the research interest of the students bachelors degree qualification in the learning process highlighted the importance of qualifying work in the process of formation of key qualifications, including research activities.
GABOR FEATURE EXTRACTION DRIVEN FACIAL AGE ESTIMATION USING MULTILAYER PERCEPTRON NEURAL NETWORK

Facial based human age estimation has become popular now a days due to tremendous increase in real time applications.Age estimation process comes with various challenges such as variation in lighting conditions, poses and facial expression.Performance of age estimation is evaluated with the help of measure 'Mean Absolute Error' (MAE).Main purpose of this work is improving facial based age estimation accuracy by building a Neural Network (NN).Beauty of NN is it learns nonlinear features of input data efficiently.For building NN model input images undergoes preprocessing, feature extraction, training and testing phases.NN model is built by providing training using various training algorithms.For prediction of age estimation neural network have shown superior performance for trainlm algorithm as compared to trainscg and traingdm algorithm.Experimentation are performed on partitioned training images and evaluated on testing images.We achieved low mean absolute error of 4.53 for 70 percent training images dataset.
Remote Home Healthcare Services and Tools for Supporting Aging in Place

The population of the developed world is aging, and building digital technologies that meet the needs of an aging population is critical. This paper presents a review of the literature in the area of HCI and human factors related to assistive technologies to support aging in place. The paper highlights research and development efforts related to remote home healthcare services, focusing on tools and technologies to help older adults live independently at home for longer. Future research directions are also presented which focus on user friendly and secure technologies for home healthcare.
King County sheriff investigates 40-year tenured employee over inappropriate social media posts

The King County Sheriff’s Office is investigating one of its own after offensive social media posts surfaced.
Virtualizing Document Algorithms using Predictive Semantic Data

Semantic web technologies play a vital role in enhancing real-world applications. With the advent of time, information is readily available on the internet in various formats, including files, metadata documents (Microformats, RDF, RDFa), and documents. Often traditional search methods do not offer the adequate and required level of matching users' information with the available online documents, which act as a barrier for efficient usage and reproduction of adapting keywords. This research focuses on an approach that automatically translates user-provided queries into the required formal structured queries. Users can use the approach to perform the translation efficiently. Moreover, the researchfocuses on the construction of a virtual document and queries for the semantic web data.Other than this, a more advanced search interface with a keyword-based approach is introduced for searching and retrieving most relevant objects.
Issues and Challenges in Management Related to Information Technology

There are many IT issues and challenges in management including Cloud Computing, Virtualization, New Technology, Big Data Analytics, BYOD (bring in their own devices) and BYOA (bring their own applications), Shadow IT, Boomers, Interoperability, User Systems, Energy Efficiency, Creating Value, Social Networks and so on. In this paper, we have highlighted three challenges: Cloud Computing, Virtualization and Social Networks. Over the last few years Cloud Computing, Virtualization and Social Networks has become modern trends in information technology space that increase the accessibility and flexibility for the users around the globe. Cloud Computing means providing computing services from the internet through internet-based tools and applications, without physically acquiring them. It offers faster innovation, flexible resources and economics of scale. Virtualization means better control on IT resources like applications, wide area networks, local area networks, servers, desktops, storage and appliances like firewalls and application delivery controllers. Social Networks means online service platform where user is able to build relationship with each other by message, posting information, images etc. It is the best way to connect people globally on one platform. Despite the success of cloud computing, virtualization and social networks face tremendous challenges in management such as security issues, customization, technology bottlenecks, lack of standardization, strategy issue, data lock-in, network traffic, software licensing, lack of profits, resistance etc. which are preventing management of organizations from accepting these techniques. This paper gives an overview of these technologies and identifies the different technical challenges in management and offer suitable direction to resolve them.
Admissions - “AT HOME” WITH YOGA: SZÉCHENYI STUDENTS WIN FOUR PRIZES

Students of Szechenyi Istvan University collected the most prizes in the essay competition on the occasion of the Intern
Conceptual Directions Of Improving Higher Education

The article discusses the conceptual directions of improving higher education within the framework of the tasks identified in the Address of the President to the Oliy Majlis on January 24, 2020. To implement one of the tasks set by the President for the formation and development of “Higher Education Without Corruption”, the model “Higher Education” was developed without corruption ”and the ways of its formation are shown. A number of conceptual directions of a radical reform of higher education have been developed. They were based on the introduction of strict discipline in higher education institutions (universities), ensuring the compatibility of theory and practice in the educational process in universities, training based on special orders of entrepreneurs, and solving the problem of commercialization of intellectual property. It was also argued that the structure and order of teaching in the higher education system should be changed, that current programs are mainly preparing to become specialists in order to work in some work establishments, in enterprises and in tomorrow's institutions, and not fully meet today's requirements.
The organizational-pedagogical activity of the kharkiv state teachers’ institute in the post-war period

The organizational-pedagogical activity of the Kharkiv State Teachers' Institute in the post-war period were revealed in the article.And the features of educational, organizational-pedagogical research, ideological and educational work and staffing were discovered; Then the advantages and disadvantages in the work of the teacher's institute in the specified period were outlined.General scientific and historical-pedagogical methods of research (analysis, synthesis, comparison) have been used for achievement of the set goal, which are allowed to systematize historical and pedagogical sources, reference literature.Moreover the leading trends were identified in the development of the Kharkiv state teacher as an independent structural unit.It was established that in 1935, with the Resolution of the People's Commissars of the Ukrainian SSR "On the Training of Pedagogical Personnel, Systems of Pedagogical Education and Networks of Pedagogical Institutions".It had four departments (faculties): physical and mathematical, natural-geographical, historical and linguistic-literary. .In the postwar period, the problem of the lack of skilled personnel in educational institutions, especially in schools, was rather acute in front of the Soviet authorities.Therefore, the Kharkiv State Teachers' Institute was called to fulfill the tasks of qualitative and short-term (2 years) teacher training for 5-7 grades, brought up in the spirit of communist ideology.So Kharkov state pedagogical institute was designed to do the job quality and short-term (2 years) teacher training for 5-7 classes, educated in the spirit of communist ideology.According to the order of the Minister of Higher Education of the USSR S. Kaftanov "On the separation of the Kyiv, Kharkiv and Odessa Teachers 'Institutions into Independent Institutes" from May 25, 1946, a new stage of the organizational and pedagogical activity began of the "Kharkiv State Teachers' Institute" as independent higher pedagogical educational institution.On the basis of the study of historical-pedagogical literature and archival documents, the theoretical positions are systematized and the experience of organizational-pedagogical activity of the Kharkiv State Teachers' Institute is systematized for the use of progressive achievements in the context of the reform of higher pedagogical education in Ukraine.
Pengelolaan arsip statis di Dinas Kearsipan Daerah Provinsi Sumatera Selatan

This study aims to determine the management of static archives in the South Sumatra Archives Service. The research method used is a qualitative approach using a survey design type to obtain valid data by conducting observations and interviews directly to the speakers and the results using descriptive analysis. Management of static records carried out at the South Sumatra Archives Service covers the activities of collecting static records, acquisition of static records, archival search lists (DPA), management of static records, maintenance of static records, access or static archive retrieval systems and archival information systems. In the management of static records carried out at the South Sumatra Archives Service, it is quite good, but it is still constrained by human resources, funds and lack of awareness of agencies under the archives service that must submit static records that have a use and historical value so that this becomes one of the obstacles in managing records in the South Sumatra Regional Archives Service.
Reinforcement Learning Research: A Scientometric Assessment of Global publications output during 2009-18

The paper provides quantitative and qualitative description of reinforcement learning research based on global publications output (5345 publications) in the field as indexed in Scopus database during 2009-16. Reinforcement learning research registered 11.5% growth per annum and averaged 17.11 citations per paper in 10 years. Top 10 most productive countries account for 97.17% global publication share.  The paper characterizes performance of reinforcement learning research on measures such as relative citation index, citations per paper, highly cited papers, top 20 global organizations and top 20 global authors in the field. The study identifies hot areas of research in the subject.   The study concludes that the USA, China, the UK, Japan, and Germany are the mainstream nations in reinforcement learning research whereas rest of the world countries is peripheral to research in the subject. The challenge is how to bring other world leading economies like India, Russia and France to the mainstream research in the subject.
METACOGNITION OF RAINFALL PREDICTION USING NAÏVE BAYES TECHNIQUE IN MACHINE LEARNING

Heavy rainfall prediction is a major problem for meteorological department as it is closely associated with the economy and life of human. The proposed framework uses machine learning technique which helps us to predict the rainfall in an efficient way by using the naive bayes technique for decision making. Proposed system is an rainfall application which analyses the previous data related to temperature, region, area, year and various parameters can be considered for predicting the rainfall. The system is useful for the society as it is a real time application for rainfall prediction this helps the farmers to make right decision in right time, it helps farmers to get high profits.
Predicting solar radiation using a parametric cloud model

In this paper, we evaluate a method to calculate hourly global solar radiation and improve the calculation of diffuse and vertical surface radiation on building facades by accounting for ground conditions based on publicly available data of cloud coverage, temperature and precipitation from a forecast service covering the Nordic countries. The detailed weather forecasts produced by MET Norway provide hourly forecasts for the next 60 hours, and 6-hour predictions for the next week. To calculate solar radiation on cloudy days the clear and cloudy sky MAC model developed by Davies and Mckay (1982) is used. Instead of basing the prediction on ground observations as in the original method, cloud coverage in three levels and total cloud cover is used as input in a cloud product parameterisation. The resulting global horizontal irradiance is validated against the output of the numerical weather prediction (NWP) model and compared to a year of hourly ground measurements in Trondheim, Norway. To evaluate applicability to the building sciences, vertical irradiance measurements are compared to tilted surface irradiance calculated with the ISO 52010:2017 method. For the location, six-hour forecasting performance is on par with the GHI output of the NWP model (using the cloud layer model and the available weather parameters of the location forecast API). To account for the unpredictability of clouds and improve the short-term forecasting performance beyond 38 % RMSD, 38 % SD and 0.80 R 2 a different approach is needed, like combining model and sky observations.
TEAM WORK COMPETENCE AS A UNIVERSAL COMPETENCE FOR NETWORK INTERACTION

Statement of the problem. The article deals with the process of developing a complex universal interpersonal competence, necessary to prepare the university graduates to network interaction in their future professional activity under constantly changing labor market conditions. The need to develop new competence, which may include the ability to work in the project team, is caused by a contradiction between recognition of the prevalence of interactive methods for developing universal competence over traditional ones and insufficient development of an algorithm for their use in practice. The following educational programs implemented at the Department of the German and French Philology at the Northern (Arctic) Federal University named after M.V. Lomonosov (Arkhangelsk) and at the Department of Germano-Romanic Philology and Foreign Languages Teaching at the KSPU named after V.P Astafiev (Krasnoyarsk) are taken as an example, namely: “Foreign Language” and “Foreign Language and Foreign Language” (full-time education; 44.03.05 “Pedagogical education”). The purpose of the article is to present the authors’ recommendations on how to identify the dynamics and conditions for the development of universal team work competence, necessary to prepare a future graduate to network interaction, taking into account the requirements of the new Federal State Educational Standards. The research methodology consists of analysis of existing bachelor’s programs in the field of foreign language education; study of the results of interdisciplinary research of Russian and international scientists on the formation and development of universal competence; analysis and generalization of the authors’ experience in implementing network interaction project programs. Research results. Author’s recommendations have been developed to identify the dynamics and conditions for the development of a complex universal interpersonal team work competence, necessary to prepare a future graduate to network interaction, tested in practice in the context of university education. Conclusion. Analyzing the results of approved recommendations, the authors come to the conclusion that the network interaction during the implementation of programs in the field of foreign language education contributes to the formation and development of a complex universal interpersonal team work competence. The author’s recommendations can be applied in the course of bachelors’ training program 44.03.05 “Pedagogical education” (full-time).