Reviewerly/exHarmony huggingface dataset:
IMPLEMENTATION OF EMPLOYMENT DOCUMENTS MANAGEMENT THROUGH REPOSITORY IN THE GOVERNMENT OF GORONTALO CITY

To find out the implementation of personnel document archiving management through a repository in the Gorontalo City Government, to find out the factors that determine the management of personnel document archives through a repository in the Gorontalo City Government Environment.This research uses a qualitative approach. Primary data was obtained through interviews with 11 informants/resource persons consisting of officials and employees as well as regional activity support staff who have duties in managing personnel document archives through repositories within the Gorontalo City Government.The results of this study indicate that the Implementation of personnel documents archival management through repositories in the Gorontalo City Government has been carried out by all regional apparatus organizations, by utilizing new media archives, namely electronic archives in the form of digital files which are transferred through the transfer of media archives, and continued. with electronic archive management then in the implementing personnel document archiving management through a repository within the Gorontalo City Government, there are factors that determine archival management activities, including facilities / infrastructure, Human Resources and Competence.
Examining Africa Economic Performance: An Issue for Market Base Monetary Policy and Financial Sector Development

The study aim at examining Africa economic performance for financial sector development. The study uses secondary data sourced from World Development Indicators (WDI) for the period of 37 years which span from 1980-2017. The study link Africa financial sector development and economic performance with emphasis on selected 46 African countries. The data obtained on broad money supply (BMS), number of commercial bank branches (NCBB), bank deposit (BD), interest rate spread (IRS), stock market capitalization (SMC), bank credit to private sector (BCPS) economic performance index (EPI), financial development (FD) and financial liberalization (FL) were analyzed using pair-wise correlation metrics and Arellano-Bond Dynamic Panel. The findings revealed that the current period economic performance in sub-Saharan Africa will decrease financial liberalization by 3.87e–05 while financial development decreases financial liberalization of the current period by 0.195. This is so because liberalizing the financial system when there high rates of unemployment, high inflation rate and high level of deficit which might likely retard financial development as more is captured by the economic problems. The study recommended that there should be financial discipline in Africa financial sector and this should be guided by financial liberalization for successful economic performance.
Statistical analysis of the change in accuracy of tabla players with increasing mathematical abilities

Tabla has been the principal percussion instrument in Indian classical music for decades. In this paper, accuracy will be considered as the ability to stay on beat and within the taal, while also increasing the tempo. This paper analyses the difference in the accuracy of a player’s performance based on their mathematical ability. The performances were collected from 5 tabla players with varying mathematical expertise. The performances were analyzed and based on the accuracy, statistical tools were used to compute whether a higher mathematical aptitude will lead to more accuracy.
Teleportation-Based Photonic Quantum Computing Using a Single Controllable Qubit

We propose a photonic quantum computer which uses no single-photon detectors and requires minimal quantum resources: one coherently-controlled atom. Arbitrary quantum circuits are deterministically constructed from rotations teleported from the atom onto the photonic qubits.
Development of Population Data Collection Applications in Vital Village Based on Mobile Web

The implementation of rural community services is currently still facing problems with an ineffective government system and the lack of human resources in rural institutions. Population administration is one of the most important points in administrative governance in the village. One of them is population data collection at the Kejayaan Village office which has limited access to the population service process manually, so errors often occur and are less accurate in managing population data. In this research, a mobile web-based population data collection application will be designed using the SDLC (System Development Life Cycle) method. Which starts from System Design, System Design, Web Development / Coding, Testing, Implementation, and Maintenance. The flow in this study is described in the form of a Flowchart. The results of the study. a mobile web-based population data collection application that can be accessed via a smartphone can provide convenience for the village government in processing population data and can also provide information on the potential development of the Kejayaan Village. In addition, the village community can update their population data directly and make it easier for the community to obtain the latest information about the village and the village profile.
СТАН І ПРОБЛЕМИ АКАДЕМІЧНОЇ ДОБРОЧЕСНОСТІ ТА ПРИЧИНИ ЇЇ ПОРУШЕННЯ

The article clarifies the current state of academic integrity, gives a list of its basic principles, the reasons of their breach, suggests the ways to overcome breaches, and also it notes the plagiarism essence, and defines the categories of scientific plagiarism. The paper considers academic integrity as the commitment of an academic community to six fundamental values such as honesty, trust, fairness, justice, respect, responsibility, courage. The reasons why the basic principles of academic integrity are violated are considered. The violations include copying, forgery, involvement in the commission of academic dishonesty, plagiarism, deception. In the paper the term «plagiarism» means the theft of scientific ideas, misappropriation of another author's research results or text usage without correctly indicating sources of borrowings. It is noted that plagiarism is illegal behaviour in the scientific environment. The forms of illegal behaviour include scientific plagiarism, scientific information falsification, and production of pseudo-scientific products. The category of scientific plagiarism is analyzed in the category of obvious and non-obvious scientific plagiarism, when an expert’s participation for the problem consideration is necessary. One of the simplest and most effective mechanisms is offered, it is teaching students online self-checking of manuscript texts for originality. The article provides the examples of effective services for online self-checking of manuscript texts for originality. The most common online programs for self-checking of manuscript texts are presented. The paper emphasizes that academic integrity development for students should begin as early as possible. The promising ways of academic integrity development have been identified. It is argued that the systematic, explanatory, preventive work throughout the period of students’ scientific activity in university should be carried out. In conclusion it is proved that academic integrity development is necessary for all students.
Impact of Artificial Intelligence (AI) on Marketing

AI marketing uses artificial intelligence technologies to make automated decisions based on data collection, data analysis, and additional observations of audience or economic trends that may impact marketing efforts. AI is often used in marketing efforts where speed is essential. AI tools use data and customer profiles to learn how to best communicate with customers, then serve them tailored messages at the right time without intervention from marketing team members, ensuring maximum efficiency. For many of today’s marketers, AI is used to augment marketing teams or to perform more tactical tasks that require less human nuance. Artificial intelligence is the creation of intelligent machines that are capable of think and react like humans. Artificial Intelligence has been treated as the next industrial revolution, people believe that artificial intelligence can provide a solution to most of the problems, and challenges exist right now in the world. Also, AI can solve the problems which might occur in the future. Artificial intelligence has the potential of creating new industries, technologies, and environments altogether.
Derzis: A Path Aware Linked Data Crawler

Consuming Semantic Web data presents several challenges, from the number of datasets it is composed of, to the (very) large size of some of those datasets and the uncertain availability of querying endpoints. According to its core principles, accessing linked data can be done simply by dereferencing the IRIs of RDF resources. This is a light alternative both for clients and servers when compared to dataset dumps or SPARQL endpoints. The linked data interface does not support complex querying, but using it recursively may suffice to gather information about RDF resources, or to extract the relevant sub-graph which can then be processed and queried using other methods. We present Derzis, an open source semantic web crawler capable of traversing the linked data cloud starting from a set of seed resources. Derzis maintains information about the paths followed while crawling, which allows to define property path-based restrictions to the crawling frontier.
Basal crust (?) from Lashaine, E. Africa

The presence of crustal xenoliths in Kimberlite pipes across much of southern Africa offers a unique opportunity to determine the horizontal, and, in some areas, the vertical dimensions of segments of continental crust of different ages.Particular questions include the balance between new and reworked crustal material in the Proterozoic mobile belts, whether the Archaean cratonic nuclei!are under¬ plated by a younger lower crust, and possible relationships between stabilisation of the crust and events in the uppermost continental mantle.
FOREIGN AND NATIONAL EXPERIENCE IN THE USE OF INNOVATIVE TECHNOLOGIES IN EDUCATION

The rapid development of society dictates the need for changes in technologies and methods of the educational process. Graduates of educational institutions must be prepared for the trends of a changing modernity. Therefore, the introduction of technologies aimed at an individual approach, mobility and distance in education seems necessary and inevitable.
THE BASICS OF FORMING STUDENTS' SENSE OF SOCIAL PARTNERSHIP THROUGH MUSIC

Children of school age and able-bodied children are admitted to secondary schools. Preschool children are mainly raised in families and kindergartens. This is especially true of the family environment. Each parent tries to instill in their children their own way of life, way of life, social and political views. This attitude is strengthened in the minds of children independently. However, the heads of families themselves are made up of people of different nationalities, religions and worldviews. The main task of secondary schools is to guide children from different walks of life and to instill in them a spirit of social cooperation.
Rancang Bangun Website Desa Bulolondong Kecamatan Lamasi Timur Kabupaten Luwu

This study aims to design, build and implement a website in Bulolondong Village, Lamasi Timur District, Luwu Regency. The research method used is the system development method with the waterfall model. Data collection techniques using data documentation methods, interviews and observations. The design of this village web in its design uses the UML (Unified Modeling Language) development method which consists of use case diagrams, activity diagrams, sequence diagrams and class diagrams. Database logic design using My SQL and system interface. The software used in designing, building and implementing the system uses XAMPP as a webserver, PhpMySQL as a database. The village web design includes the home page, profile page, village information page, potential page, community service page, contact, Login page, profile management page, information management page, village potential management page, service information management page and contact management page. The information system has been tested (test case) in order to obtain an information system that runs well
Library and information terminology: current trends

Some aspects of formation of Ukrainian library and information terminology and its transformation in modern conditions are considered, in particular tendencies of changes in terminology in the context of reforming of library branch in the conditions of informatization and its reorientation to the electronic environment. The need for normative regulation of the library and information sphere in accordance with international standards, development, harmonization and implementation of unified scientific terminology is noted.
Refinements of Approximation Results of Conditional Restricted Boltzmann Machines

Conditional restricted Boltzmann machines (CRBMs) are the conditional variant of restricted Boltzmann machines (RBMs), which are used to simulate conditional probability distributions. While promising for practical applications, there is a lack of theoretical studies on the approximation ability of CRBMs. In this article, by contributing analysis tools, especially designed for the conditional models, we improve the results of the representational power of CRBMs based on existing work on RBMs. We first study the properties of CRBMs to approximate conditional Markov random fields. On this basis, a universal approximation result is obtained by deriving upper bounds on the minimal number of hidden units, which improves the previous result. Furthermore, the result about maximal approximation errors of CRBMs is also improved by reducing the number of hidden units that can guarantee approximations within a given error tolerance. Furthermore, the representational efficiency of CRBMs in computing deterministic conditional distributions is investigated. Specifically, we show that there are exponentially many deterministic conditional distributions that cannot be computed by CRBMs whose size does not exponentially grow with the number of input units. Some specific examples of these hard-to-present deterministic conditional distributions are provided. Finally, some numerical experiments are carried out to verify the theoretical results of the properties of CRBMs to approximate conditional Markov random fields and the universal approximation of CRBMs.
Web User Profile Improvisation by Sampling Site Style Tree With DOM Structure and Neural Network

In the present generation, the web domain is the most rising and open knowledge medium. The Web Domain consists of contents for numerous areas, including multimedia, organized, semi-structured and unstructured data, which are accessible on the web to users with knowledge that is relevant. But within a given application only part of the information is relevant, and the remainder of the information is regarded as noises. Webpage details provide code formatting, links for navigation, advertisements and so forth. This set of unwelcome noise with specific content on a web page allows it more challenging to retrieve and process the automatic details. For this, usable noise free data must be extracted. In this research work, we introduce a technology focused on the observation method for noise removal. Noisy blocks typically include similar content and design types on a given website, while the key content blocks of the websites sometimes vary in their content or design styles. On this basis, the tree layout, called Style Tree (ST), is suggested to collect the existing types of design and page content of a specific web site. An ST for the domain that we call Site Style Tree (SST) can be generated by sampling the pages of the website. This role is followed by a potential application of Neural Networks (NN) to obtain material knowledge in the combination of three frameworks classified with the Document Object Model (DOM). The sort of neural network used to develop our method utilize the Back-Propagation (BP) method in NN. Data were obtained from various Web servers for training and research. To remove different noise variations on the internet, the classification effects of a BP-NN were used. Experiments prove that our way of extracting insightful content from these websites' webpages is applicable efficiently. The comparison of the proposed work with existing work Noise Web Data Learning (NWDL) is done by parameters noise classification and accuracy. Thus the proposed work produces a good level of accuracy.
A Secure 5G Eldercare Solution Using Millimeterwave Sensors

The world is ageing fast and the need of efficient digital solution enabling elderlies to age at home is getting urgent. Unfortunately there is so far no such a solution which is sufficiently efficient, customizable, secure and reliable. This paper presents a solution called Ageing@home which is efficient, easy to deploy, privacy preserving, unobtrusive and customizable by making use of millimeter wave sensors, 5G network slicing and open unifying IoT platform. The paper provides a detailed description of the advantageous use of the millimeter wave sensors and present the proposed 5G network slicing alternative. An open unifying IoT platform capable of bridging diverse heterogeneous IoT devices from different vendors is also introduced.
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare

Reinforcement Learning (RL) has recently been applied to sequential estimation and prediction problems identifying and developing hypothetical treatment strategies for septic patients, with a particular focus on offline learning with observational data. In practice, successful RL relies on informative latent states derived from sequential observations to develop optimal treatment strategies. To date, how best to construct such states in a healthcare setting is an open question. In this paper, we perform an empirical study of several information encoding architectures using data from septic patients in the MIMIC-III dataset to form representations of a patient state. We evaluate the impact of representation dimension, correlations with established acuity scores, and the treatment policies derived from them. We find that sequentially formed state representations facilitate effective policy learning in batch settings, validating a more thoughtful approach to representation learning that remains faithful to the sequential and partial nature of healthcare data.
تقييم کفايات معلمات العلوم لتطبيق الواقع المعزز

هدفت الدراسة إلى التعرف على مدى توفر الکفايات التقنية والأخلاقية اللازمة لتطبيق الواقع المعزز لدى معلمات العلوم، وتکونت العينة من 134 معلمة من معلمات العلوم للمرحلتين المتوسطة والثانوية في محافظة الخرج. تم استخدام المنهج الوصفي وتمثلت أداة الدراسة في استبانة إلکترونية موجهة لمعلمات العلوم، وأظهرت نتائج الدراسة أن معظم عينة الدراسة ليس لديهن معرفة سابقة بالواقع المعزز وأن کفايات استخدام الحاسب الآلي وکفايات التعامل مع الانترنت متوفرة بمستوى متوسط، في حين أن کفايات تصميم البرمجية التعليمية متوفرة بمستوى ضعيف، بينما توفرت کفايات أخلاقيات استخدام الحاسب الآلي عند استعمال مواد تعليمية من الانترنت بمستوى عالي. وتوصي الدراسة بنشر الوعي بتطبيقات وتقنية الواقع المعزز و کذلک بتدريب المعلمات على الکفايات التقنية اللازمة لاستخدام الواقع المعزز کاستخدام المکتبات الإلکترونية، وإنشاء الوسائط المتعددة، وربط الکاميرا الرقمية بالحاسب واستخدامها. The study aimed to investigate the availability of technical and ethical competencies for teachers who are required to implement the augmented reality in teaching sciences. The study sample was 134 female science teachers who were teaching in intermediate and secondary schools in the Al-kharj. To answer the study questions, the researcher followed the descriptive approach. The study tool was an online questionnaire directed to the teachers. The results of the study showed that most of the participants already have some knowledge of   augmented reality. It also showed that degree of computer and internet skills was medium, but the skills for designing multimedia was poor. The ethics of using computers and internet for educational purposes was high. The study recommended distributing   information to teachers about the augmented reality application and to train them to use the technology required for augmented reality such as electronic libraries, creating multimedia and connecting and using digital cameras with computers.
Quantitative Waveform Sampling on Atomic Scales

Using a molecular switch as a local field sensor, we directly sample the temporal shape and strength of atomically confined light field transients inside the tunneling gap of a scanning tunneling microscope.
Aldan-Vilyui ore-placer gold-bearing province, Russia

Analysis of materials of the State Geological Map 1 : 1 000 000 (3rd generation) for the southern Sakha–Yakutiya territory in the course of compilation of the Minerogenic forecast map of the Russian Federation and its continental shelf, 1 : 2 500 000, and of the Map of the distribution regularities and forecast for porphyry goldcopper, large-tonnage black-shale gold, and epithermal gold deposits of the Russian Federation, 1 : 2 500 000, has allowed the authors to substantiate distinguishing the new Aldan-Vilyui ore-placer gold-bearing province with a total area of 450 000 km2 in the basins of the Lena, Aldan, and Vilyui rivers. The authors estimate the metallogenic potential of the province at 5000 t of gold. In the near future, this province may become a new extensive resource base of gold and related elements for the Russian Federation.
Machine Learning Based Graph Mining of Large-scale Network and Optimization

Network science possesses an unreplaceable status in solving social and scientific problems. This study focuses on investigating machine learning based graph mining of large-scale network and optimization by using the California road network dataset from Stanford as the large-scale social network. After building different neural networks with various hyperparameters and selected learning activation functions, accuracy results were compared and conclusions include: 1) Changing the activation functions does not have much effect on accuracy compared to neural network structures, 2) Changing the learning rate does not have much effect either and 3) exponential linear unit (ELU) is sensitive to the change of hidden layer size and kernel compared to rectifier linear unit (ReLU) and hyperbolic tangent (Tanh), causing decrement of accuracy after growth of hidden layer size brings overfitting. These conclusions were drawn based on numeric experiments where the final accuracy rate kept the average of every ten trials. However, given this specific dataset, the accuracy of all the models remain high so that varying neural network parameters or structures does not present much distinctive divergence.