Reviewerly/exHarmony huggingface dataset:
Культурные компоненты жизнеспособности научного сообщества

The article considers the concept of resilience of the scientific community, which is novel for the Russian science. By applying the conceptual analysis, the key message of the paper suggests that not only is the term instrumental in describing the traits of modern Russian science, but also it shows possible solutions of further development of science. The relevance of introducing this notion into scientific circulation is justified by both external and internal reasons, i.e. the science reform and the need to reflect on scientific and organizational processes, as scientific institutions face substantial challenges in adapting to new realities. The term is considered in a time continuum, as case studies focus on the following areas: scientists’ perceptions on funding, dilemmas of stable and competitive financing of science, organizational culture, the future image as seen by scientists and the interaction with the media. Comparative perspective is also included. Among the categories used to describe the functions and the status of scientific communities, collective subject is one that can focus on active role of such communities, on the interconnectedness and interdependence of individuals in a group, the ability of a group to show various forms of joint activity, the ability of a group to self-reflection – just like resilience. However, using subject for scientific needs seems not always suitable, for the sense it has covers not all the aspects that arise in conducting empirical research. Resilience, in contrast, suits perfectly. Another advantage the term resilience provides is that it seems to be appropriate for outlining the processes generated inside the scientific region, since it allows describing not only scientists as individuals, but also a community as a whole. This thesis is illustrated by a brief overview of research on the resilience of organizations and the resilience of families. The paper concludes with applying resilience to practice, as the state of the psychological community is assessed through the lenses of the crisis of resilience as opposed to the crisis of identity.
Nigeria Paper Currency Serial Number Pattern Recognition System for Crimes Control

Only secured and conducive environment void of robbery, kidnapping, fake currency and all forms of insurgencies will foster production and distribution of goods, investment and saving that enhance national economic growth and development.This is a mirage in a country generally believed and tagged the giant of African; Nigeria.Crime, in whatever name or nomenclature, has a significant negative impact on the welfare and economy prosperities of our society.The urge to get rich promotes Crime like armed robbery, kidnapping for ransom and production of counterfeit banknotes to mention but a few.Innocent people have suffered psychological distress, fear, anger, depression, physical harm, financial loss and in most cases untimely death during the operations by these hoodlums.Banks, Cash-In-Transit Vehicle, and ATM points are often robbed by gangs in search for paper currency.Kidnappers as well demand for paper currency as ransom while some other gangs are involved in the production of counterfeit banknotes so as to enrich themselves no minding the negative effect on the nation's economy.The banknotes collected during the operations by the hoodlums are taken to banks.Yet, the banks will not detect or recognize any of these notes which attest to the fact that our system lacks check and balance.The system is very porous without a recourse to this era of technology when machine is trained to do virtually everything for our convenience.Currency as an entity has a unique identification number.The identification number is an alphanumeric currency issuance of about 10 digits comprises two (2) capital letters and eight (8) numbers usually positioned at a strategic location on either front or back of the 5, 10, 20, 50, 100, 200, 500 and 1000 naira notes.It is a reliable and intelligent system developed to track banknotes unique identifiers numbers-serial numbers, in order to control financial related crimes.
ScholatAna: Big Data-Based Academic Social Network User Behavior Preference System

In recent years, the rapid development of academic social networks has greatly promoted academic exchanges and scientific research collaborations among users. At the same time, with the various social behaviors of many users, massive log text data are accumulated on academic social networks. In this regard, in order to extract the available information from the massive log text data, this paper takes the case of implicit interactive information generated by scholars on SCHOLAT (https://www.scholat.com) as a research, and analyzes the user behavior in the past year based on the user’s spatiotemporal behavior characteristics and preference behavior characteristics. Thus, ScholatAna, a framework based on big data technology for Academic Social Networking (ASN) is proposed. Considering that the information generated by users is up to tens of millions of chaotic log files. Therefore, this paper combines distributed computing methods, uses Hadoop ecosystem technology to extract available data, and uses TF-IDF and social collaborative filtering algorithms to perform faster and more accurate statistics and analysis of data. The experimental results are demonstrated and evaluated by using visual analysis techniques. To a certain extent, these results revealing the user's behavior trends and regulars in the domain of academic social, which affects the development of scientific research.
E-Library Resources Available and Use for Information Services by Users in University Libraries of North West Zone of Nigeria

This paper examined the E-library resources available, types of E-library resources frequently used and utilized for information services in North West University in Nigeria. A survey research method was adopted to carry out the study using descriptive research methodology. The population used under this study comprised all the state—federal, state, and private universities in North-west geopolitical zone of Nigeria comprising seventeen (17) studied universities. The population considered to be the subject of the study includes other professional and non-professional staff in the Nigerian university libraries on the position of university librarian circumstantially. The sample size depends on the nature of the research of the study. It is however proposed to have a sample of seventeen (17) universities therefore the number of the universities is manageable, and therefore no sampling is required. The instrument used for data collection is a questionnaire. A stratified sampling technique was used in selecting the secondary population of the study. Data was also analysed using descriptive analysis using frequency tables and percentages. The administration of the questionnaire was carried out by the co-researchers and assisted by three (3) research assistants. The study also has identified the E-library resources used for the transformation of library services from the traditional method to the present electronic method by using the appropriate E-library resources which includes internet resources, E-journals, E-books resources, web-based resources, and subject gateway. The study also revealed that most of the E-library resources that are frequently used and utilized for information services are open source (free). It has been established that the E-library resources for information services in the North West Zone of Nigerian university libraries are facing challenges of funds, technical know-how, training, and infrastructures, to mention a few. The study recommends that university libraries should continuously update their E-library resources, arrange and rearrange the mode and time of operation to ensure maximum utilization of the available E-library resources in their libraries. The librarians must always be on training and retraining for the acquisition of new skills and as well to update their knowledge on the E-library resources facilities. The issue of training can be through seminars, conferences, and workshops for capacity building and conformity of any electronic innovation. There is a need for proper and adequate funding, the need for qualified personnel to handle technical aspects, training of personnel, and provision of adequate infrastructures.
Pengaruh Model Pembelajaran Discovery Learning Berbantuan Video Pembelajaran Interaktif terhadap Kemampuan Kognitif Siswa MA Ummul Mukminin

This study aims to determine the effect of the discovery learning model assisted by interactive learning videos on the cognitive abilities of MA Ummul Mukminin students. The research design was a one group pretest-postest design. The population of this research was all students of class XI MA Ummul Mukminin. The sample in this study was chosen randomly. The instrument used to measure students' cognitive abilities was in the form of multiple-choice questions of 20 numbers given at the pretest and posttest. The data analyzed by descriptive statistical analysis and inferential statistical analysis. Inferential statistical analysis consisted of normality test, homogeneity test, and hypothesis test. Hypothesis testing used the help of the SPSS For Windows 17.0 application through the Paired Sample t-test. The test results obtained a significance value of 0.000 <0.005, which means that there was a significant effect of using the discovery learning model assisted by interactive learning videos in improving the cognitive abilities of MA Ummul Mukminin's students.
An Archive-based Steady-State Fuzzy Differential Evolutionary Algorithm for Data Clustering (ASFDEaDC)

In the current paper, we have assimilated fuzzy techniques and optimization techniques, namely differential evolution, to put forward a modern archive-based fuzzy evolutionary algorithm for multi-objective optimization using clustering. The current work account for the application of a cluster associated approach. Specific quantitative cluster validity measures, i.e., J-measure and Xie-Beni, have been referenced to carry out the appropriate partitioning. The proposed algorithm introduces a new form of strategy which attempts to benefit the feasible search domain of the algorithm by minimizing the analysis and exploration of less beneficial search scope. This clustering method yields a group of trade-off solutions on the ultimate optimal pare to front. Eventually, these solutions are united and maintained in an archive for further evaluation. The current work summarizes and organizes an archive concerned with excellent and diversified solutions in an effort to outline comprehensive non-dominated solutions. The degree of efficiency is revealed with respect to partitioning on gene expression and real-life datasets. The proposed algorithm seeks to reduce the function assessment analysis and maintains a very small working population size. The effectiveness of the proposed method is presented in comparison with some state-of-art methods.
Análisis de las transformaciones digitales en las entidades públicas de educación en colombia

Accepting the nature of education as a public service and that, of course, has a multiplier effect within the population, public institutions must guarantee their efficiency, privilege public benefit, operate under the principle of equity, respond to the needs of quality, meet national demand by promoting universal coverage and closing social gaps. It is in this line of argument that it is now possible to analyze how the recent digital revolution has impacted in some way on public education entities and how it has contributed to improving institutional performance and how it translates into higher levels of social welfare.
TEACHING READING COMPREHENSION OF NARRATIVE TEXT USING STORY MAPPING STRATEGY INTEGRATED WITH AN E-BOOK TO THE EIGHT GRADE STUDENTS OF A JUNIOR HIGH SCHOOL IN CIANJUR

The student's difficulties in the learning process included theirb lack of vocabulary mastery, identifying problems and solutions, figuring out references
RETRACTED: College Business English teaching in the context of multimedia network

With the advent of the Internet age, network information technology is rapidly entering college English classes, which fundamentally changes the mode of college English teaching. In college English classroom teaching mode, as a brand teaching form, College English multimedia network teaching environment has brought advantages to classroom teaching, but also brought about impacts on teaching concepts, teaching models, teaching methods and other aspects. There are some phenomena that are inconsistent with the reform model at the students, teachers and the environment. The balance of traditional English classroom teaching has been broken, which has affected the smooth progress of college business English classroom teaching mode reform. It is very important to analyze and resolve these imbalances and find ecological methods for optimizing university English education. In this context, the advent of multimedia-assisted education technology has provided better conditions for the implementation of Business English classroom education in universities. Multimedia-powered business English education allows teachers to create a better language learning environment in class more conveniently and quickly, helping students acquire grammar knowledge and achieve their educational objectives.
Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions

Prepositional supersense annotation is time-consuming and requires expert training. Here, we present two sensible methods for obtaining prepositional supersense annotations indirectly by eliciting surface substitution and similarity judgments. Four pilot studies suggest that both methods have potential for producing prepositional supersense annotations that are comparable in quality to expert annotations.
SINGLE AXIS SOLAR TRACKING

We aim to design a system that will automatically track the solar energy from the sun and changes the panel direction according to the sun's direction. a solar tracking system is mainly used to track the direction of the sun and consume its energy efficiently.The absorption of energy will be maximum when the sun rays are high solar cells constantly monitor the energy from the sun. Solar energy is renewable energy thus we can consume energy frequently. The energy extracted from solar photovoltaic depends on solar isolation to consume maximum energy from the sun. the plane of the solar collector should away to be normal radiation. solar tracker moves both grid-tie and off-grid have current and voltage sensor in a battery charger or inverter units. Voltage can be accessed by using IOT based automatic system. In this project, we are using RTC to generate the time signal. Single acid solar Tracking has been implemented through microcontroller-based control logic.
Investigating Fitness Functions for Search-based Requirements Prioritization

It can be challenging for people to select the most relevant requirementamong several software system development options.Requirements prioritization defines the ordering for executing requirementsbased on their priority or importance concerning stakeholders’viewpoints, which is a problematic task. Based on thisproblem, this study aims to present a requirements prioritizationapproach using a genetic algorithm to find optimal solutions, andit can assist in the requirements prioritization activity during thesoftware development process. In this paper, we investigated aset of criteria to create four functions GUT-D, ThS-D, ST, and LT,to assess candidate solutions, i.e., the recommended prioritizedrequirements. We examine the empirical results concerning thepractical approach’s effectiveness and cost computational two experimentsin the evaluation. We found that the 𝐺𝑈𝑇 − 𝐷 fitnessfunction achieved the best fitness value in different settings with90.51% and 98.63%. Besides that, our study demonstrates that the approachis promising to assist requirements prioritization since eachfitness function can be used individually according to companies’necessities.
ANALISIS PERILAKU MEROKOK PADA ANAK SEKOLAH DASAR DI KECAMATAN JATINANGOR MENGGUNAKAN INTERACTION STRUCTURE ANALYSIS (ISA)

Interaction Structure Analysis (ISA) is an extension of the CFA method used to analyze data with categorical variables. ISA will form a pattern (configuration) that comes from the category in each variable and then expectation values will be raised. The purpose of ISA analysis is to find out whether there are discrepancies with what has been previously expected. This incompatibility is characterized by two types of data, namely type and antitype. Type occurs when the configuration occurs more frequently than has been expected, while antitype occurs when the configuration occurs less frequently than has been expected. The data used are secondary data regarding smoking behavior in primary school children in Jatinangor with the dependent variable being the child`s smoking behavior , while the independent variables are sex, smoking behavior of parents, and smoking behavior of close friends. The final results in this study indicate the type of variable configuration.
From Hotelling to Nakamoto: The Economics of Bitcoin Mining

We propose a unified dynamic framework to study the economics of the supply side of bitcoin mining, such as endogenous transaction fees, the miners' liquidation policies, and endogenous inventory holdings, in the face of declining system block rewards and stochastic demand. The model yields two economic insights: First, high jump risk and transaction fees income can be major forces driving miners to significantly reduce their inventory even when bitcoin prices are relatively low. Second, the model explains the observed co-movements of average transaction fees, average block sizes, and Bitcoin prices.
Research Guides: Open Education Week 2021: Tuesday - Open Textbooks

Guide to events during Open Education Week 2021 - March 1 - 5. Links to webinars, resources, websites, and more!
The Impact of organizational Learning Culture's on Job Satisfaction, Organizational Commitment, and Turnover Intention among Privet sector in Saudi Arabia

Organizational learning culture has positive impact with job satisfaction on the productivity of the organization, this study showed that there is a negative relationship between the organizational learning culture and turnover intention which the employees in the organizations they are not linked ;earning with their intention to leave, we figure out in this study the job satisfaction positively influence organizational commitment this is refer for the employees will have the commitment for their organizations when they have job satisfaction first and organizational commitment has negative relationship with turnover intention, the studies shown that there are employees that could stay in the organization even of they do not have commitment for their organizations.
Problems and Factors affecting students English writing skills at elementary level

The present study was conducted with the aim to investigate elementary students writing problems and factors that hamper their English writing skills. It also illustrates some supportive suggestions on how to improve elementary students English writing skills. Writing is regarded as one of the most prolific skills which sometimes seem very difficult for the learners to develop; it is considered an important skill for good language production. Writing well is professed as a significant art for students successful academic achievement. Students writing problems in English language have become a major issue for English teachers and learners. Writing in English is considered a very complex skill particularly in elementary classrooms where students encounter numerous challenges regarding this skill. In the study writing samples were randomly collected from 155 students of grade eight to find out the most recurrent writing problems in their English subjects. 32 English teachers were also interviewed in order to know their perceptions about students writing difficulties and factors that hamper their English writing development. SPSS software was applied to compute and analyze the outcomes of the research. The results of the study indicate that the majority of the students at elementary level are unable to write grammatically precise English paragraphs. The findings of the study disclose that the main problems of students English writing are due to poor command over English tenses, grammar, syntax and insufficient vocabulary. Lack of creative ideas, writing anxiety, weak structural organization and dependence on L1 are also the major cause of learners poor writing in English.
Empirical Study on Shopper’s Satisfaction and Retailers Service Quality in Muscat Governorate, Oman: Using SERVQUAL model

People of the Sultanate of Oman rely on retail hypermarkets to fulfill their basic needs including food products. To retain the customers’ loyalty and to retain the customers, it is important to satisfy the customers.  The retail and hypermarkets focus on finding out and measuring the elements to offer the customers with good quality products and services.  The objective of this study is to use the SERVQUAL model to understand the significance of various elements of customer satisfaction and how to accomplish the expected customer satisfaction by improving the services in Muscat. To achieve the objectives, the questionnaire was floated online and data was collected from the customers who visit the hypermarkets. The collected data was analyzed and the findings of the study show that the hypermarkets are delivering services of high quality which enabled the hypermarkets to keep customers as loyal with higher satisfaction. Regardless of this, the study found out that there is still room for progress in terms of improving the handling of customers by the employees to avoid the adverse effect on the hypermarkets’ revenue and operations.
Classification Methods for Big Data Analytics

Huge information came into reality on the grounds that the prior advancements can't convey such huge measure of information from self-administering sources. Huge Data is generally characterized into three primary sorts, which are-Structured, Unstructured and Semi-organized. To track down the significant and exact information from huge unstructured information will be a troublesome assignment for any client. With the assistance of order techniques unstructured information can be transformed into coordinated structure therefore that any client can get to the necessary information without any problem. These characterization procedures can be applied ludicrous conditional information bases to give information administrations to clients from gigantic volume of informational collections. Classification is one of the pieces of AI and there are two general classes one is regulated and other one is solo course of action. In this paper endeavored to consider the distinctive request methods for huge data examination. This paper includes the utilization of different characterization procedures and gives a similar investigation of significant grouping strategies. The principle aim of the paper is to feature critical procedures and innovations that are normally utilized during the time spent for classification for large information.