Reviewerly/exHarmony huggingface dataset:
Evolution of Information Systems Starting from Bloomberg and Dow Jones

This article aims to give an overview and describe a new structure in the media system, namely, closed information systems (CIS). These include various data bases used for performing professional tasks in relation to media and information in business and public administration. CISs may be categorized as new media and hypermedia. Since CISs can aggregate information and media messages, they work simultaneously in both media and information markets. The key task of the study is to analyze the history and prerequisites of CIS emergence, starting from the first one, that of news agency Reuters. We made a systemic analysis of the content terminal Bloomberg of Bloomberg news agency, and the multimedia library Factiva of Dow Jones, which helped to identify their key typological features and target audience. One of their functions is being a blueprint of a professional eco-system. Other information systems with similar functions are studied and analyzed, namely, LexisNexis, a multimedia library of legal papers and mass media archives, and a business directory Dun&amp;Bradstreet, as well as their functions, content, and professional utilization. The article also describes the work of data base publishers and brokers in the market. The author contrasts professional information systems called CIS with the open-access system Internet by their common functions, and points out some key differences in selecting, classifying and verifying content.
Orthocorrection of KH-5 ARGON Satellite Imagery of Aral Sea

Declassified Intelligence Satellite Imagery is a unique source of historical environmental data. Three consecutive and overlapping images of the ARGON, the first dedicated mapping mission from 1962 depicting the surrounding of the Aral Sea were orthocorrected using Ground Control Points. As ARGON mission had a frame type camera, a least squares estimation of exterior orientation parameters were estimated using space resection. A modified space resection algorithm was used to estimate (beside the exterior orientation) the camera principal point coordinates and lens distortion correction coefficients. The overall accuracy of the orthocorrected images are in good accordance with the results of other authors.
커뮤니티댄스 구성 과정의 교육적 활용 방안 연구

The purpose of this research is to propose a communication and process- centered composition method pursued by community dance in the modern age where communication instability is a problem as a good starting point and model for online and offline mixed educational curriculum. First, we will look at the diversity of self-expression generated in the process of productive interaction, the process of communication and sharing, and the formation of new relationships. Next, I would like to propose the educational value of community dance, the aspect of interactive learning and education, and a method of online and offline mixed education based on this.
K-expectiles clustering

$K$-means clustering is one of the most widely-used partitioning algorithm in cluster analysis due to its simplicity and computational efficiency. However, $K$-means does not provide an appropriate clustering result when applying to data with non-spherically shaped clusters. We propose a novel partitioning clustering algorithm based on expectiles. The cluster centers are defined as multivariate expectiles and clusters are searched via a greedy algorithm by minimizing the within cluster '$τ$ -variance'. We suggest two schemes: fixed $τ$ clustering, and adaptive $τ$ clustering. Validated by simulation results, this method beats both $K$-means and spectral clustering on data with asymmetric shaped clusters, or clusters with a complicated structure, including asymmetric normal, beta, skewed $t$ and $F$ distributed clusters. Applications of adaptive $τ$ clustering on crypto-currency (CC) market data are provided. One finds that the expectiles clusters of CC markets show the phenomena of an institutional investors dominated market. The second application is on image segmentation. compared to other center based clustering methods, the adaptive $τ$ cluster centers of pixel data can better capture and describe the features of an image. The fixed $τ$ clustering brings more flexibility on segmentation with a decent accuracy.
INTEGRATIVE BASIS OF PEDAGOGICAL ACTIVITY OF TEACHER OF TECHNICAL DISCIPLINES

The article provides an analysis of the specific features of the process of professional training of teachers of technical disciplines. Based on the analysis of the existing practice of professional training of future specialists in the direction 44.04.04 “Professional training (by industry)”, its features are identified in the context of the formation of an integrative basis for the professional activity of a future teacher of technical disciplines. The basic didactic conditions providing effective professional training of a teacher of technical disciplines at a university are given
Quantifying entanglement in terms of an operational way*

We establish entanglement monotones in terms of an operational approach, which is closely connected with the state conversion from pure states to the objective state by the local operations and classical communications. It is shown that any good entanglement quantifier defined on pure states can induce an entanglement monotone for all density matrices. Particularly, we show that our entanglement monotone is the maximal one among all those having the same form for pure states. In some special cases, our proposed entanglement monotones turn to be equivalent to the convex roof construction, which hence gain an operational meaning. Some examples are given to demonstrate different cases.
Relationship Between the Information Technology Used and the Cognitive Development of School-Age Children

The drive to increase information technology development and make everything digital has significant implications for education, especially education of school age children (6 to 12 years old). The purpose of this study was to determine the relationship between the use of information technology and cognitive development of school age children. This study has used the quantitative correlation method with cross sectional approach. The sampling technique used was a non-probability sampling method, namely quota sampling. The sample in this study was 100 grade students of SDN 7 Ciamis recorded in 2018, divided into 3 classes. The used of information technology in the very high category was 32 people (64.0%), the used of information technology in the high category was 18 people (36.0%). The cognitive development in the very good category was 11 people (22.0%), the good catsegory was 28 people (56.0%), the moderate category was 10 people (20.0%) and the less category was 1 person (2.0%). There is a significant relationship between the used of information technology and the cognitive development of grade V school age children.&#x0D; &#x0D; Keywords: information technology, cognitive development, school-age children.
PENGAMATAN WAKTU KONTAK TERHADAP KANDUNGAN OKSIGEN DALAM PENGHITUNGAN HARGA KLa

-
Classification of Breast Cancer Using a Hybrid and Enhanced Recurrent Residual Convolutional Neural Network (ERResCNN)

Females are affected by BC (Breast Cancer) more than any other type of cancer. BC has caused more deaths than any other diseases such as tuberculosis or malaria according to WHO (World Health Organization). The mortality rates due to BC in women are high making it a candidate for early detection for prevention and cure. Diagnosing BC is a complex task as it is interleaved with normal breast tissues. Image processing methods have been proposed for detecting BC, yet better segmentation methods are required. Fuzzy based approaches provide optimal results in segmenting BC images. Hence, this work uses Fuzzy approach combined with ResCNN (Recurrent Residual Convolution Neural Network) which is the optimized by a modified GA (Genetic Algorithm). The proposed ERResCNN classifying results in detecting BC from images is accurate and efficient in comparison to other methods.
Kebijakan Pemerintah dalam Peleburan Unit Pelaksana Teknis Dinas Pendidikan Pada Dinas Pendidikan dan Kebudayaan Kabupaten Aceh Utara

Educational development must be carried out thoughtfully, following the principles of good governance which is transparent, effective, and efficient. Education becomes a solution for the intellectual life of the nation and a key enabler for sustainable development. Realizing this principle of efficiency and effectiveness, the government adopted a policy of merging 15 Education Technical Implementation Units (UPTD) at the North Aceh Education and Culture Office. The research found that in North Aceh District, 15 UPTD were merged into the Education and Culture Office, which disrupted 30 structural officials losing their positions, and 90 honorary staffs are no longer receiving salaries. The study suggests that the local government should carefully and well-designed the regulations regarding the merging 15 Education Technical Implementation Units at the North Aceh regency. The accurate implementation of the policy will not sacrifice many teaching staff and administrative officers. However, we realize that the principle of efficiency for this task is to save the use of the education budget.
Problems of preservice teachers on technological pedagogical knowledge skills

This study aimed to determine problems of preservice teachers on technological pedagogical knowledge skills. The socio-economic transformations taking place in the country indicate the presence of a society’s need for a person who has the ability to set goals and achieve them independently. In this regard, education is faced with the task of forming the personality of the future teacher as a subject capable of diagnosing the process and results of its activities. However, the educational technologies used at the university most often alienate students from educational activities, offering ready-made goals, ways to solve them, and thereby exclude them from the diagnostic process. A change in the modern educational situation actualizes the formation problem of technological pedagogical knowledge skills in a future teacher. The article deals with the development of a scientifically-based system for preparing students for diagnostic activity, which includes theoretical and practical training at the university. The practical significance of the research results lies in the possibility of using the developed methodological recommendations in the practice of training specialists in the field of primary education.&#x0D; &#x0D; Keywords: Technological pedagogical knowledge, skills, knowledge assessment, preservice teachers, teacher education.
Ideation of Product and Service Using Delta Design Map of Structures, Functions and User Experiences

In recent years, the possibility that IT (information technology) and artificial intelligence can perform tasks equivalent to or higher than humans has attracted attention both academically and practically. In this paper, the author explains an approach to ideation informatics in which human memory is expanded with a database of product/service functions and user experiences, and human thinking and ideation are enhanced by combining systematicity and comprehensiveness of IT to create ideas for products and services. Then, the possibility of its application toward the realization of a post-corona society is considered.
VR Applications in Ergonomic and Productive Workplace Design: A Literature Review

During the past decade, virtual reality (VR) technology has been de- veloped rapidly. Many applications of VR are ranging from non-immersive, semi-immersive, and full immersive types that are widely used by researchers to overcome problems in various fields. In industrial field, the most common application of VR technologies is at the planning stage and design of facilities or workplaces. By using VR, we can evaluate workplace design from the as- pects of ergonomics and work productivity. This paper gives a literature review on the current VR applications in ergonomic and productive workplace design over the past 10 years (2010-2019). The main discussions of this paper include research objects, research outputs, types of VR technologies, hardwares and softwares that are used for analysis. The result of this study shows that the ap- plication of VR is very helpful to evaluate and validate the design of workplace, before the final design is implemented in real world. This paper also discusses several ongoing questions and future challenges for researchers who are con- cerned to apply VR in industrial workplace design.
ANALISIS KESULITAN PEMELAJAR BAHASA INDONESIA BAGI PENUTUR ASING (BIPA) DI SAMARKAND STATE INSTITUTE OF FOREIGN LANGUAGES (SAMSIFL), UZBEKISTAN PADA 4 KETERAMPILAN (SKILLS) BERBAHASA

This research entitles â€œThe Analysis of Difficulties of IndonesianÂ Â Language for Foreign Speakers (ILFS) Students in Samarkand State Institute of Foreign Languages, Uzbekistan toward 4 Language Skillsâ€. There are some language skills, i.e.; (1) listening skills), (2) speaking skills, (3) reading skills, and (4) writing skills.These language skills are the basic of language uses. As a whole, the difficulties faced by students vary, such as intelligence physical and psychologist factors; intelligence, talent, interest, motivation, and ways of learning) and non-intelligence factors. There are internal and external factors as well (family, school, society factors). This study is to know; (1) what the most difficult language skills students understand, (2) the reasons of students at the difficulties in the language skills, and (3) how the students face their difficulties. The method of this study is descriptive, conducted in ILFS class of English Program and Translation Program at Samarkand State Institute of Foreign Languages, Uzbekistan. The numbers of students are 35 (9 males and 26 females). The time of this study was semester II in 2019, and data was taken in March 2019. Technic of collecting data is using test and interview as well as the evaluation sheet in semester I as the diagnostic data of studentsâ€™ difficulties toward 4 language skills. Data analysis consists of qualitative and quantitative. The lowest average mark is of listening (61.68), speaking (69.07), writing (71.89), and reading (76.29).From the questionnairesâ€™ sheet given to the students, it can be concluded that; students like Indonesian language (85.71%), the pronunciation of Indonesian language is different to source language (65.71%), symbols/letters writing in Indonesian language is not different (80.00%), there is no difficulty in uttering Indonesian language words (77.14%), guidance book used in learning process is good and helpful Indonesia (91.43%), in listening, speaker speaks very fast (97.14%), difficulties in listening (94.29%), there is no difficulty in readingskills (85.71%), there is no difficulty in writing skills (80.00%), there is difficulty in speaking skills (71.43%), the most liked language skills in learning is reading (57.14%), the most hated language skills in learning is listening (94.29%), the most difficult language skills in learning is listening (88.57%), the easiest language skills in learning is reading (71.43%),and the studentsâ€™ action facing the difficulties in learning Indonesian language is asking the teacher (85.71%). It is expected that the ILFS teaching concerns on studentsâ€™ difficulties firstly and give motivation during the teaching process in order that the students are motivated to learn Indonesian language.
Perceived Safety and Fear of Crime: Design and Implementation of an Interactive Data Survey, Analysis and Geovisualisation Web-Based Platform

Fear of crime is a social problem, usually affecting the population of urban communities. More and more people see and recognize it as a problem within and for the society. Nowadays, technology has rapidly evolved, resulting new methods for data collection like online surveys. In this paper we present the process and architecture of developing an interactive data survey, analysis and geovisualisation web-based platform to support web based online questionnaires related to the urban fear of crime. Our main goal is to provide tools and utilities for researchers and journalists, interested in the scientific aspect of fear of crime, in order to collect, spatially visualize and manipulate such data. The fear of crime platform utilizes a client-server Web-GIS application that gives to scientists and researchers access to a world – wide spatial database. As Fear of crime platform is a dynamic ecosystem that grows up every day, this database is also growing proportionally by individuals around the world.
A Novel Perspective for Positive-Unlabeled Learning via Noisy Labels

Positive-unlabeled learning refers to the process of training a binary classifier using only positive and unlabeled data. Although unlabeled data can contain positive data, all unlabeled data are regarded as negative data in existing positive-unlabeled learning methods, which resulting in diminishing performance. We provide a new perspective on this problem -- considering unlabeled data as noisy-labeled data, and introducing a new formulation of PU learning as a problem of joint optimization of noisy-labeled data. This research presents a methodology that assigns initial pseudo-labels to unlabeled data which is used as noisy-labeled data, and trains a deep neural network using the noisy-labeled data. Experimental results demonstrate that the proposed method significantly outperforms the state-of-the-art methods on several benchmark datasets.
Effect of Motivation, Family Environment, Peer on Discipline Learning

The purpose of this study is to: find out the motivation influences the discipline of learning, to know the family environment influences learning discipline, and peers influence the discipline of learning. The population in this study were students of the 12th grade vocational school in the Tangerang City as many as 200 people. The type of data used in this study is quantitative data. To answer the hypothesis in this study using the classical assumption test and multiple regression with F test and t test. it can be concluded that: there is an effect of motivation on the discipline of learning, there is no influence of the family environment on the discipline of learning, there are peer influences on the discipline of learning.
Higher-order quantification and free choice in how many-questions

In Gentile and Schwarz (2018), we observed that certain how many-questions carry uniqueness presuppositions that can be understood as instances of Dayal’s (1996) Maximal Informativity Presupposition. We also observed, however, that uniqueness presuppositions can unexpectedly go missing in the presence of a possibility modal. In this paper, we offer an explanation for the obviation of such uniqueness presupposition by possibility modals. Building on a suggestion in Spector (2008), we propose that obviation is due to higher-order wh- quantification feeding free choice strengthening within the question nucleus.
Securing the Cloud

This chapter highlights what it takes to secure the cloud. Some still consider the cloud an inherently dangerous and unsecure place, while others are moving to the cloud precisely because they think security is better there. It can be difficult to get your head around why both things can be true at the same time, but they can. It all has to do with how you approach cloud security. We look at it from a holistic, risk-based angle and go through the different classes of security services and features that cloud platforms usually offer. We also look at the security practices that must accompany cloud implementations. The goal is to understand how to secure the cloud properly.
Semantic Data-Driven Models to Improve Energy Efficiency in Buildings and Cities

The assessment of building energy performance requires data from multiple domains (energy, architecture, planning, economy) and scales (building, district, city) to be processed with a diversity of applications used by experts from various fields. In order to properly assess the performance of the building stock, and to develop and apply the most effective energy efficiency measures, it is necessary to adopt a comprehensive, holistic approach. In this chapter, three research projects are presented which apply Semantic Web technologies to create energy data models from multiple data sources and domains in order to support decision making in energy efficient building renovation projects: SEMANCO, OptEEmAL, and OPTIMUS. A final reflection on the results achieved in these projects and their links to ongoing research on digital twins is presented.
PatchNet -- Short-range Template Matching for Efficient Video Processing

Object recognition is a fundamental problem in many video processing tasks, accurately locating seen objects at low computation cost paves the way for on-device video recognition. We propose PatchNet, an efficient convolutional neural network to match objects in adjacent video frames. It learns the patchwise correlation features instead of pixel features. PatchNet is very compact, running at just 58MFLOPs, $5\times$ simpler than MobileNetV2. We demonstrate its application on two tasks, video object detection and visual object tracking. On ImageNet VID, PatchNet reduces the flops of R-FCN ResNet-101 by 5x and EfficientDet-D0 by 3.4x with less than 1% mAP loss. On OTB2015, PatchNet reduces SiamFC and SiamRPN by 2.5x with no accuracy loss. Experiments on Jetson Nano further demonstrate 2.8x to 4.3x speed-ups associated with flops reduction. Code is open sourced at https://github.com/RalphMao/PatchNet.
The Empowerment of Dasa Wisma as Partners in the Prevention and Control of Drug Abuse in Teenagers in Ratu Agung Sub-District of Bengkulu City

Teenagers are a vulnerable demographic with regards to the risk of becoming drug users. The high levels of drug abuse at a young age in Indonesia are a growing source of concern. Effective drug abuse prevention needs to start with primary prevention by individuals, families, groups and communities. This study evaluates the empowerment of Dasa Wisma and the homestead program, to identify the influence of the empowerment of Dasa Wisma through partnership on the effectiveness of anti-drug cadres and families in the Ratu Agung Sub-district of Bengkulu City. This research type is quantitative with quasi-experimental design. The design used was pre-test and post-test with control group design (quasi-experiment with control). While the treatment group who felt empowered counted 34.78%, the control group only 12.5% felt empowered, with P value = 0.00. The empowerment of Dasa Wisma affects knowledge, attitude, perception, religiosity, use of spare time, peer group, family harmony and family communication with value P = 0.00. It also affects the liveliness of anti-drug cadres with a value of P = 0.008. Dasa Wisma affects the family activeness in the prevention and control of drugs in teenagers with a value of P = 0.00. Conclusion: it can be concluded that the empowerment of Dasa Wisma as a partner in Ratu Agung sub-district of Bengkulu affects the prevention and tackling of drug abuse in teenagers, either by anti-drug cadres or by family.&#x0D; &#x0D; Keywords: Empowerment, Dasa Wisma, partner, drugs
LibGuides: 2020 Voting and Elections Guide - Fant Library: Absentee Voting in Mississippi

A 2020 voting guide for patrons of the Fant Library in Columbus, MS information about absentee voting and notaries on MUW's campus