Reviewerly/exHarmony huggingface dataset:
Organization Information gone Wild: ROR, Entity IDs and The Organization Ontology

While building services for individuals from academia, uniquely identifying a person is a challenge that was widely addressed in several contexts like eduGAIN. Sometimes, alongside the “who?”, information systems also need reliable information about the “from where?”. During the past years several alternative standards came up to tackle that problem from different directions. In this paper we would like to introduce some of them: Research Organization Registry (ROR), eduGAIN Entities and The Organization Ontology and give an opinionated overview of how they can work together.
Telessaúde: uma estratégia de educação permanente aplicada às práticas e reorganização dos processos de trabalho na atenção básica no estado da Bahia

The role of telehealth in the training of primary care professionals in Bahia includes the provision of services through the dimensions of teleconsultation, tele-education and telediagnosis, as well as its sub-dimensions related to Second Formative Opinion (SOF) and Field Monitoring ( Support to the municipalities) with activities directed to all categories of health professionals in Primary Care (PH), who compose, act in programs and strategies of the Ministry of Health in the municipalities of Bahia. Permanent Education (PE) is a powerful tool of the Unified Health System (SUS) that enables the transformation and qualification of health practices, capable of allowing individual and institutional development, being a transformative agent in the re-organization of the work process that can contribute to health worker training. The training of professionals in the use of their services takes place through face-to-face and distance training (web-lectures), operated under an online platform. . This Health Assessment Project consists of verifying and responding to the role of Tele-education provision through telehealth in improving the qualification of health services, identifying services according to the management tool proposal.
J. DEWEY'S CONCEPTS IN MODERN PEDAGOGICAL THOUGHT

Y. Kokorina1, N. Kalashnikova2, D. Godina2, E. Filimonova2, K. Trostina2 1Moscow Polytechnic University (RUSSIAN FEDERATION) 2Plekhanov Russian University of Economics (RUSSIAN FEDERATION)
Clues, algorithms and hunter-gatherers

This article focuses on interdisciplinary experiments conducted at the interface between archaeological and computational sciences, along a recently finalized research project. Combining the sociology of science and infrastructure studies, we explore the modalities of hybridization and confrontation between these two distinct epistemic traditions, and the way in which artificial intelligence and virtual reality inform and support scientific reasoning in prehistoric archaeology. We draw on an analysis of archival documents, filmed ethnographic observations and semi-structured interviews to trace the history of the project and its successive reconfigurations. This allows us to analyse the heuristic conditions for the importing of computational devices into the archaeological sciences. We also show that this involves a fine adjustment of the distance between the archaeologists and the computer.
Visualisasi Data Lokasi Rawan Bencana Di Provinsi Sumatera Selatan Menggunakan Tableau

The BPBD of South Sumatra Province is one of the non-departmental government institutions that is directly supervised by the Central BNPB, one of which is the task of the South Sumatra BPBD to have information about disasters in the Regency/City of the South Sumatra region. However, the annual disaster reporting has not been published so that the people of South Sumatra do not know the disaster-prone locations in each area of the South Sumatra region. The purpose of this study is to create a visualization in the form of dashboard information using Tableau from data on disaster-prone areas of South Sumatra Province in each Regency/City. Based on the results of the visualization, it was found that the area that often occurs in disasters is Musi Rawas Regency with the type of flood disaster, each year the areas that are often affected are OKU Regency, Muratara Regency, and East OKU Regency, while for disasters that often occur from several disasters, namely floods and flash floods with the number of victims affected is always high.
Application of Blockchain and Artificial Intelligence Technology in Large Forestry Enterprise Archives Management

The management information system of large enterprises is an important partof the construction of digital forestry in China. As the underlying technology foundation ofthe next generation of trust Internet, the importance and extensibility of cannot beignored. As an emerging technology and tool, it will also have an important impact on thedevelopment of library, information and discipline. This paper studies the applicationof in large enterprise management. This paper constructs the archivesintelligent service system of artificial intelligence + blockchain from four dimensions ofinfrastructure layer, resource layer, technology processing layer and service applicationlayer. At the same time, this paper deeply excavates the practical application examples of +blockchain archives at home and abroad, and discusses how AI can enable intelligentservice. Finally, the intelligent service system of artificial intelligence + blockchainwas initially constructed. The results show that the service system can improve the efficiencyand accuracy of management in large enterprises.
DEVELOPMENT OF MIND MAPPING TEACHING MATERIALS TO IMPROVE READING COMPREHENSION SKILLS OF HISTORICAL NARRATIVE TEXTS FOR FIFTH GRADE ELEMENTARY SCHOOL

This study aims to describe the validity, practicality and effectiveness of mind mapping teaching materials to improve reading comprehension of historical narrative texts for fifth grade elementary school students, on the theme of events in life; and to describe students' reading comprehension skills after using mind mapping teaching materials.This study refers to the ADDIE model.The subjects of this development research were fifth grade students of SDN Pucang 3 Sidoarjo.The trial was conducted using the one grub pretest posttest model.Collecting data using questionnaires, observations, and tests.Data collection techniques used qualitative and quantitative techniques.The results showed that (1) the quality of the product of mind mapping teaching materials and learning tools on the validity aspect was 87.22% (2) The quality of the development product based on the practicality aspect which included the results of observations of teacher activities obtained a percentage of 94.2% and the results of observations of student activities when learning to use mind mapping teaching materials by 86.6%, (3) mind mapping teaching materials developed effectively in improving students' reading comprehension skills.This is evidenced by the percentage of reading comprehension skills reaching 93.49%.And learning outcomes through a comparison of pretest and posttest on a small-scale trial show the value of t-statistics = 72.917> t-table = 2.306 and a scale with t-test which shows the value of t-statistics = 17,538 > t-table = 1,697.From the results of this study, it can be concluded that the reading comprehension skills of fifth graders of historical narrative texts have increased after using mind mapping teaching materials.
A Co-occurrence Based Approach for Mining Overlapped Co-clusters in Binary Data

Co-clustering is a specific type of clustering that addresses the problem of simultaneously clustering objects and attributes of a data matrix. Although general clustering techniques find non-overlapping co-clusters, finding possible overlaps between co-clusters can reveal embedded patterns in the data that the disjoint clusters cannot discover. The overlapping co-clustering approaches proposed in the literature focus on finding global overlapped co-clusters and they might overlook interesting local patterns that are not necessarily identified as global co-clusters. Discovering such local co-clusters increases the granularity of the analysis, and therefore more specific patterns can be captured. This is the objective of the present paper, which proposes the new Overlapped Co-Clustering (OCoClus) method for finding overlapped co-clusters on binary data, including both global and local patterns. This is a non-exhaustive method based on the co-occurrence of attributes and objects in the data. Another novelty of this method is that it is driven by an objective cost function that can automatically determine the number of co-clusters. We evaluate the proposed approach on publicly available datasets, both real and synthetic data, and compare the results with a number of baselines. Our approach shows better results than the baseline methods on synthetic data and demonstrates its efficacy in real data.
CFD-based Comparison Study of Hot Aisle Containment and Cold Aisle Containment Solutions in High-density Data Centers

High energy costs and spiking energy consumption rates have forced data centers to rethink cooling strategies. Although traditional cooling approaches, such as perimeter cooling through a raised floor plenum, are prevalent, containment approaches are gaining significant inroads. Hot aisle containment (HAC) and cold aisle containment (CAC) can improve the efficiency of legacy data center cooling and the air distribution systems. While both solutions mitigate the air recirculation and bypass, there are operational differences in application that have significant results on IT environment conditions and the thermal performance of cooling. Based on the computational fluid dynamics (CFD), the purpose of this study was to investigate the thermal performance of an air distribution system as compared to the two HAC and the CAC. By using the CFD models, the simulation and analysis were performed, with a focus on comparing the inlet air temperature distribution of rack servers based on the ASHRAE guideline. The selection of the HAC over the CAC can improve 43.2% in cooling system efficiency, corresponding to 15.9% reduction in the recirculation ratio. This paper analyzes the methods and highlights why HAC appears as the preferred solution.
An Analysis of Research Themes and Trends of Teacher Blended Learning in China

Blended learning is generally regarded as an effective learning approach.In the field of teacher education, the influence of blended learning is growing, and more and more teacher training adopt the form of blended learning.This paper analyzes the research themes and trends of teacher blended learning by analyzing the relevant journal papers of teacher blended learning in China in the past twenty years.The results show that Chinese teacher blended learning practices are mainly in the field of teacher training in primary and secondary schools, and focus on the training of knowledge and skills related to information technology and educational technology.Since blended learning for teachers in China is still in the stage of exploration and application, the research theme focuses on the modes, designs and strategies of blended learning for teachers.The research on the effect of teacher blended learning is not deep enough, and the empirical research and theoretical research is relatively lacking.Therefore, it is necessary to expand the research scope, draw lessons from foreign research and practical experience, conduct in-depth research on the effects and influencing factors of Chinese teacher blended learning.Then construct an effective localized framework of teacher blended learning, so as use information and communication technology (ICT) to provide theoretical basis and action guide for the development of Chinese teachers' professional development programs.
Analyzing DWT and IWT Techniques for Fitness Evaluation in Watermarking Technique Imperceptibility Performance for Medical Images

Image watermarking techniques applied frequency transmission technique to improve the imperceptibility, robustness, and embedding capacity performance. For the medical image, the watermarking technique gives the imperceptibility performance priority for the importance of the visual quality of the medical image in medical diagnose. The fitness evaluation method involved in the process of watermark data embedding to control the level of imperceptibility performance. DWT and IWT are most Wavelet transmission techniques used in the proposed watermarking techniques. In this paper, a comparison between the DWT and IWT was conducted to analyze the performance of both transforms in terms of image visual quality and embedding capacity.
Application of soil heat-released mercury survey in prospecting prediction of copper-nickel polymetallic deposits in western Mianluening,Shaanxi Province

The Hejiaya research area in Mianyang,Shaanxi Province is located in the middle section of the Qinling Mountains,between the Mianlue structural belt,the Qingchuan-Yangpingguan fault zone,and the Minshan-Huya fault zone. There are complex geological processes in the area and the regional mineralization potential Huge,for this reason,the feasibility study of soil thermal mercury release was carried out on the known mineralization points in this area. The conventional soil adsorption phase mercury method was used to analyze the mercury element in the soil,and the best experimental temperature was determined to be 280° based on the experimental principle of known speculation and unknown,and the experimental results obtained at the best experimental temperature combined with the geological background Conditions,delineate 2 favorable prospecting target areas in the study area. Among them,known mineralization points are found in the 1# target area,and north-east-trending faults are developed,and chalcopyrite mineralization,pyrite mineralization,and magnetite mineralization are found. The 2# target area is located on the northwest side of the study area. A titanium magnetite mineralization zone is found. The mineralization zone is north-eastward with ilmenite and magnetite,followed by limonite and other mineralization discoveries. Provide direction for future prospecting work.
Education: Public Good vs Service

The article presents an overview of the round table on the topic: ‘Educational service: problems of theory and practice’, held at St. Petersburg State University, where the issues of the legal nature of education, its essence and content were discussed.
Emoticons as a Non-Verbal Communication Cue in the CMC Environment

The purpose of this study is to investigate the roles, functions, and motives of using emoticons in addition to verbal messages in non-face-to-face, Computer-Mediated Communication such as SNS, instant messenger.In a face-to-face communication situation, non-verbal elements of the speakers such as facial expression, gestures, postures are as important as verbal utterances in grasping the speaker's intentions and meanings of conversation.Likewise, in a non-face-to-face, CMC environment, the use of emoticons is essential to convey subtle messages such as emotions and attitudes that is hard to grasp via verbal communication.Such active use of emoticons is related to a strong motivation for communication of the users even in a very limited environment.It was found that the CMC participants are using emoticons in negative situations to mitigate the face-threatening messages and/or to reduce conflicts in human relationships.Emoticons are also used to perform various speech acts such as 'agree', 'disagree', 'compliment', 'blame', 'congratulate', 'apologize', and 'console', through which they serve the function of maintaining the relationship by expanding positive reactions and reducing negative reactions of the other speakers.It can be said that emoticons perform the function of a politeness strategy to show deference and reduce the loss of face of conversation participants.Researches on emoticons from the perspective of linguistics and communication theories have been rare until recently.Just as gestures play a major role in face-to-face communication, emoticons need to be discussed as essential elements in non-verbal communication.
The Effect of Political Competition, Financial Independence, Expenditure and Government Complexity on Internet Financial Report

For this purpose, Law Number 14/2008 came into effect, as well as the Minister of Home Affairs's Instruction Number 188.52/1797/SJ/ 2012.However, up until this point, we have fallen short of our transparency goals.It is the goal of this research to analyze how political competitiveness, financial independence, expenditure, and government complexity impact the disclosure of government financial information in Indonesia.djpk.kemenkeu.go.id and the local governments' official websites provided the secondary data for this study.Multiple linear regression analysis is used to test hypotheses.The findings of this study show that political competitiveness and financial independence have an impact on the disclosure of financial information, whereas expenditures and government complexity have no effect.Political and financial independence have an essential role in supporting the publication of government financial information as a form of transparency in government finance management, according to this study's findings for both legislative and executive branch officials
Harnessing future AI with regard to the challenges of cyberdefense

The cyber threat is real and is affecting our defense. AI can and must contribute to reducing this risk, on the condition that our principles of cyberdefense be developed by improving our cognitive capabilities. In this field, AI has great potential and the advantage of an extensive body of scientific literature.
IMPROVING READING ABILITY OF GRADE EIGHT STUDENTS THROUGH SNOWBALL THROWING STRATEGY

The objective of this research is to find out whether or not that using Snowball Throwing Strategy is effective in improving students ability in reading narrative text of the grade eight at SMP Negeri 1 Bunta. The researcher applied quasi experimental research design. The research sample was VIIIC as the control group consisted of 26 students, and VIIIE as the experimental group consisted of 28 students. The researcher employed cluster random sampling to choose the sample. The experimental group was treated by applying Snowball Throwing Strategy in teaching reading a narrative text,while the control group was taught using conventional method. The instrument of data collection was a test. The result of the data analysis showes that the mean scores of the experimental group on the pretest and the posttest were (50.86) and (74.29). The mean scores of the control group on the pretest and the posttest were (52.25) and (65.84). The researcher found that t-counted value was 2.74. By using 0,05 level of significant and 52 degree of freedom (df), the researcher found that the t-table value was 1.675 . The t-counted was greater than the t-table; therefore the hypothesis was accepted. Based on the result, the researcher concludes that using Snowball Throwing Strategy gives significant influence on the students reading ability. It means that using Snowball Throwing Strategy is effective in improving reading ability of grade eight students at SMP Negeri 1 Bunta, especially in reading a narrative text. Keywords: Improving; Reading Ability; Snowball Throwing Strategy
In Pursuing Better Academic Result In University: A Case of Fuzzy Logic Analysis

A fuzzy logic approach is applied in this proposed system as a method to predict the performance student in pursuing better academic results in university. Fuzzy logic is used because the technique is suitable for statistical database as well as suitable to obtain general classification between excellence and moderate students. The main issue in this project is the difficulties to predict the student’s performance and to sustain their result. The fuzzy logic approach is suitable for data classification and the performance will be analyzed by using Matlab simulink. Besides that, several difference methods of membership were also been investigated in order to design and propose the most stable and reliable system. Based on the results obtained from simulation, it has provided meaningful characteristics that are significant and able to advice student getting better grades in academicals program (BEE &amp; BEP). Moreover, the system will provide better study to student whose do not understand the university system during their early years in university.
LibGuides: ACRL/EBSS Education Guides Repository: Needs-based Populations

A repository to a diverse sampling of Education Research Guides for librarians that have a liaison area in Education. It is designed to provide inspiration and ideas for your own guides.
Identificação da Origem de Derrames Petrolíferos com Critérios não Paramétricos de Dados de GC-MS

Identification of the Oil Spill Origin withNon-Parametric Criteria of GC-MS Data.Chemical analysis carried out on samples from illegal oil spills has proved to be important in legal proceedings.These analyses involve comparing oil fingerprints in samples from the contaminated environment and suspected spill source by Gas Chromatography-Mass Spectrometry.The chromatographic data are statistically processed to increase the objectivity and reliability of composition comparison.The assessment of oil fingerprints similarity includes comparing abundances ratios of characteristic oil components, diagnostic ratios, using Student's t statistics that requires ratio distribution normality.This work presents an alternative approach to compare diagnostic ratio that adapt to ratio's complex distribution and discusses deviations to normality.The approach is based on Monte Carlo simulations of diagnostic ratios supported on experimentally observed signals precision and correlation.
Sports Intelligent Assistance System Based on Deep Learning

Traditional sports aid systems analyze sports data via sensors and other types of equipment and can support athletes with retrospective analysis, but they require several sensors and have limited data. This paper examines a sports aid system that uses deep learning to recognize, review, and analyze behaviors through video acquisition and intelligent video sequence processing. This paper’s primary research is as follows: (1) With an eye on the motion assistance system’s application scenarios, the network topology and implementation details of the two-stage Faster R-CNN and the single-stage YOLOv3 target detection algorithms are investigated. Additionally, training procedures are used to enhance the algorithm’s detection performance and training speed. (2) To address the issue of target detection techniques’ low detection performance in complicated backgrounds, an improved scheme from Faster R-CNN is proposed. To begin, a new approach replaces the VGG-16 network in the previous algorithm with a ResNet-101 network. Second, an expansion plan for the dataset is provided. (3) To address the short duration of action video and the high correlation of image sequence data, we present an action recognition method based on LSTM. To begin, we will present a motion decomposition scheme and evaluation index based on the key transaction frame in order to simplify the motion analysis procedure. Second, the spatial features of the frame images are extracted using a convolutional neural network. Besides, the spatial and temporal aspects of the image sequence are fused using a two-layer bidirectional LSTM network. The algorithm suggested in this research has been validated using a golf experiment, and the results are favorable.