Reviewerly/exHarmony huggingface dataset:
Organizational Policy Learning and Evaluation Using Monte Carlo Methods

Organizations need to constantly learn, develop, and evaluate new strategies and policies for their effective operation. Unsupervised reinforcement learning is becoming a highly useful tool, since rewards and punishments in different forms are pervasive and present in a wide variety of decision-making scenarios. By observing the outcome of a sufficient number of repeated trials, one would gradually learn the value and usefulness of a particular policy or strategy. However, in a given environment, the outcomes resulting from different trials are subject to external chance influence and variations. In learning about the usefulness of a given policy, significant costs are involved in systematically undertaking the sequential trials; therefore, in most learning episodes, one would wish to keep the cost within bounds by adopting learning efficient stopping rules. In this Chapter, we explain the deployment of different learning strategies in given environments for reinforcement learning policy evaluation and review, and we present suggestions for their practical use and applications.
Denoising MRI Images through Nonlinear Enhancement

PDF file of Extended Abstract [Extended Abstract], PowerPoint Presentation mixed with Author's narration [PPT MP3] and PowerPoint PDF [PPT PDF] are available only for Registered Users Only.To view/download all the conference open access materials you must be Registered with the IESTOC SCHOLARLY REFEREED ONLINE CONFERENCE SYSTEM.Registration is Free..Register Now..Register Yourself and get full access of IESTOC published materials...
MELHORIAS REALIZADAS ATRAVÉS DA UTILIZAÇÃO DE FERRAMENTAS DA QUALIDADE / IMPROVEMENTS MADE USING QUALITY TOOLS

This research is a study conducted in the document management process of the company Multiple, a company in the field of outsourcing of labor in the areas of cleaning and building conservation providing mainly to federal agencies of the states of Sergipe and Bahia.In conversation with the company supervisor it was verified the existence of problems in the documentary management of
Opportunities for the Application of Augmented Reality in Mining and Minerals Processing

The mining and minerals processing industry is gradually being digitalized to improve efficiency and reduce waste. One aspect of this transition is to ensure that relevant process-data in sufficient quality and quantity is given to the operator in the right format and at the right time to improve decision-making. Augmented Reality (AR) can serve as a potential ICT-based support tool for human operators to achieve this goal. With AR, virtual information is combined with the real world in real-time. Thus, AR technology holds potential for fulfilling the need for improved data visualization in Industry 4.0. This article is the result of a collaborative effort of Chalmers University of Technology and RWTH Aachen University to identify selected state-of-the-art applications of AR that are currently being applied in the mining and minerals industry or selected related industries. This article aims at showing opportunities for the application of AR in the mining and mineral processing industry with selected conceptual applications. This article concludes with several requirements identified as necessary to implement the conceptual applications of AR in the mining and minerals industry.
PSYCHOLOGICAL PECULIARITIES OF PROFESSIONAL RESPONSIBILITY OF FUTURE SPECIALISTS OF THE CIVIL DEFENCE SERVICE

The essence of the concept of “responsibility” and “professional responsibility of a rescuer” is revealed in the article; the psychological foundations of the development of responsible behavior are analyzed; the main ways and means that ensure the success of the process of the responsibility formation, the main pedagogical conditions for improving educational activities and the formation of responsibility among the cadets are presented.
Human Resource Management Practices: Their Implications to the Delivery of Instruction in the Division of Antipolo, Philippines

The human resource management practices included: hiring, placement, and promotion. The dependent variable utilized was the performance of teachers in terms of the delivery of instruction through the result of the NAT of the selected national high schools in the Division of Antipolo City for the last three years. The study employed descriptive evaluative and correlation methods of research with the aid of a valid and reliable researcher-made questionnaire checklist. This study also made use of documentary analysis where NAT results and other pertinent records were utilized.Purpose: This study sought to determine the extent of implementation of human resource management practices of the selected national high schools in the Division of Antipolo City as perceived by the three groups of respondents in terms of hiring, placement, and promotion.Research Methodology: Descriptive evaluative and correlation methods were used in this study in order to ascertain and to describe the extent of implementation of human resource management practices in the Division of Antipolo City, Philippines. Documentary analysis was used on the performance of the selected national high schools in the National Achievement Test in the Division of Antipolo City for the last three years.Results: Human resource management practices with respect to hiring and placement of teachers have no significant relationship to the National Achievement Test results; however, promotion of teachers has significant relationship to the National Achievement Test results.Limitations: a limitation of this study is that it was only conducted during the 2018-2019 school year in all public secondary schools with fiscal autonomy in the division.Contribution: This study can be used in organizing the Human Resources Unit in an institution, especially in the field of education.
My Subject: Library Resources for Pre-sessional Students at Soochow University: Library Search & Resources

This guide is for use by Pre-sessional students studying in China only Industry, Company & General Information
Pembuatan Prosedur Pengelolaan Arsip SK Pensiun di Badan Kepegawaian Daerah Provinsi Sumatera Barat

AbstractThis paper discusses the procedure for managing the retirement decision file archive at the Regional Personnel Agency in West Sumatra Province. The purpose of this study is to find out how the procedures for managing the retirement decision archive in the Regional Civil Service Agency of West Sumatra Province. This research method uses qualitative methods. Data is collected by interviews and collecting data directly from the original source with employees at the Regional Civil Service Agency of West Sumatra Province. Based on the discussion it can be concluded: 1) recording all data in the archive, all incoming data recorded to the ledger in accordance with the type, after recording the archive is divided into their respective processes; 2) data is transferred to the catalog, if the employee moves / retires, it will affect the number of catalogs used; 3) Removing files (from active to passive files), files whose files are still active, the data is first entered into the ledger and new stored in groups in a static storage area; 4) stored to a static storage area. The design process of making the book procedure for managing employee retirement SK records is as follows: 1) compiling the writing framework; 2) making book covers; 3) making introductory words; 4) making a table of contents; 5) making an introduction; 6) making the main contents of the book, the main elements contained in the book procedure for managing the employee retirement decree archive are a brief discussion of the profile of the West Sumatra Regional Personnel Agency, vision and organizational structure, then proceed to a discussion on the employee retirement decree archive procedure.Keywords: Management, Archives, Procedures
Convolutional Neural Networks

In the aspect of deep learning, the article considers the so-called convolutional neural networks.In particular, the following questions are systematically stated in the work: the "convolution" operation, the general structure of the convolutional layer, the input and output data of the convolutional network, the method of back propagation of error for convolutional neural networks, the determination of thae number of trained parameters, the estimation of the amount of memory needed to store the network, an example of the use of convolutional neural networks in the problem of classifying handwritten numbers, the principles of constructing convolutional networks, the degradation of the model, deep residual networks and an example of applying nets in the classification of handwritten numbers.Special attention is focused on the development of convolutional neural network architectures.
ERRORS IN USING PREPOSITIONS: AN ANALYSIS ON ENGLISH FRESHMEN MAJORING ON LITERATURE AT UNIVERSITAS NEGERI PADANG IN ACADEMIC YEAR 2019

The research was aimed at analyzing the English department students errors in using prepositions. The subject of this research was the the freshmen of English Department majoring on literature in academic year 2019. Out of 103 students, 31% of them were choosen to be a sample by using simple random technique. The data had been gathered by using gap-filling test. The results of the data analysis show that from 1240 answers in the test, there were 796 errors made by the students. The errors included 184 (59%) errors prepositions of time, 213 (69%) errors in prepositions of place, 236 (76%) errors prepositions of direction/movement and 163 (52%) errors other kinds of prepositions. In addition, related to the cause of errors, it was the target language that mostly causes the students commit errors (intralingual errors). Based on the findings, it can be concluded that the freshmen of English students commit 64% total of errors in using prepositions and the errors itself mostly are due to the students’ lack ability in grammatical.
THE EFFECT OF SUMMARIZING TECHNIQUE ON READING ACHIEVEMENT

This article is a report of experimental conducted at the second year students of SMA Kanjeng Sepuh Sidayu Gresik. This study was conducted to measure the effect of summarizing technique on reading achievement. The instrument used for collecting data was test. The data analysis showed that mean of pretest was 37,94 in experimental group and 33,68 in control group. The result of t-test of pre-test was 2,444 and t-critical was 1,684 in level of significant .05. And the mean of post-test was 74,52 in experimental group and 68,39 in control group. The difference between the two mean score is 6.13. The mean of the control group is lower than the experimental one. In which the highest score was 52 and the lowest score was 20 in control group and experimental group. From the data analysis, the writer got findings. The mean score of experimental group was 74.52 and the mean score of control group was 68.39. after applying the ANCOVA formula, it indicates that F-value was 4.117 and the critical value with the level of significance .05 was 4.00. The finding shows that students’ achievement of reading in posttest (after treatment) of experimental group was higher than control group. It was found out that summarizing technique was effective in reading achievement.
Extending the Bnclassify R package: Bayesian network classifiers with continuous variables

Nowadays, most of the open-source software for Bayesian networks only handles discrete variables. This limitation makes it difficult to use Bayesian networks in real life. The original bnclassify package provides the code that deals with the Bayes multinomial network (BMN). This kind of Bayesian network is not capable of handling continuous variables, if a data set contains continuous variables, it will be discretized, therefore, a loss of information will be introduced. The goal of this work is to extend the package and make it able to deal with continuous variables. To avoid the loss, this work assumes all variables follow the Gaussian distribution, therefore, new functionalities are added to the package including structural learning, parameter learning, and prediction with conditional Gaussian network (CGN). In order to determine the correctness and the efficiency of the new implementations called predictCGNs and GaussianImplement, two experiments are designed in this work. The experimental results demonstrate the usability of the program and there is no inconsistency between the new implementations and Bayesian networks.
Kemas Ulang Informasi dalam Pembuatan Buku Pintar Siaga (Studi Kasus: Pada Kantor Badan Penanggulangan Bencana Daerah Sumatera Barat)

AbstractDisaster is an event or series of events that threatens and disrupts people's lives and livelihoods caused by natural factors and non-natural factors and human factors resulting in human casualties, environmental damage, property losses, and psychological impacts, a phenomenon of life humans who cannot be known exactly when it happened. In facing disaster preparedness in Indonesia, there is still a lack and lack of hate education so that there is a lack of public knowledge in post-disaster planning and their readiness to anticipate disasters. Therefore, repacking information is packing information back, or changing from one form of information, to a symbol that is interpreted as a message, recorded as a sign, or sent as a signal. Preparing knowledge about disaster preparedness or hate from an early age to people who are vulnerable to disasters and in preparing themselves for disasters.Keywords: information, repackaging, disaster
Areas of oil and gas accumulation in the Pripyat-Dnieper-Donetsk oil and gas province and the possibility of their study by remote methods

In connection with the need to increase the energy resources of Ukraine, it is essential to expand the areas and depths of prospecting, as well as to improve the methodology and technology of oil and gas exploration. The most promising area for the search for new oil and gas fields in Ukraine remains the Pripyat-Dneprovsko-Donetsk oil and gas province. Increasing the depth of new energy sources because of the increasing cost of exploration and deep drilling requires more accurate and efficient predictions, which should be based on a more rigorous scientific substantiation of new directions of work and the application of new efficient technologies. The article develops the concept of deep degassing of the Earth, which is of great importance for the development of modern ideas about the formation and geological history of the Pripyat-Dnieper-Donetsk oil and gas province. The authors considered the nature of oil and gas accumulation areas and their relationship with the “pipes” of deep degassing of the Earth, as well as the possibilities of structural-tectonic, lithological-geochemical and remote sensing methods in identifying new oil and gas fields in the Pripyat-Dnieper-Donetsk oil and gas province and signs of their connection with «pipes» hydrocarbon deep degassing of the Earth. To implement new methodology and technology of prospecting, exploration of oil and gas fields, the article proposes to make wider use of the modern capabilities of satellite methods, which make it possible to quickly cover large areas with multiple surveys, increase the efficiency of solving geological problems, and also significantly reduce the cost of oil and gas exploration.
An Exploratory Study on Causes of Identity Document Theft in South Africa

This study explores the causes of Identity Document (ID) theft in South Africa, the focus is concentrated to Polokwane Central Business District (CBD), Bendor Park, and Flora Park, and the number of stores situated in the business sectors of these areas. From a quantitative standpoint, 90 respondents were selected in this study. The findings indicate that conceptual understanding of this crime (ID theft) can play a pivotal role in addressing the manifestation of this crime in a large extent as nature and extent can be established, the use of technological means also contribute to ID theft, this is also linked to individuals (victims) ignorance. For recommendations; the use of technology and conventional method in awareness can help in responding to the scale and consequence of ID theft in the Polokwane Policing Area effectively.
Large-Scale Data Management using Permissioned Blockchains

Author(s): Amiri, Mohammad Javad | Advisor(s): Agrawal, Divyakant; El Abbadi, Amr | Abstract: The unique features of blockchain such as transparency, provenance, and authenticity are used by many large-scale data management systems to deploy a wide range of distributed applications including supply chain management, healthcare, and crowdsourcing in a permissioned setting. Unlike permissionless settings, e.g., Bitcoin, where the network is public, and anyone can participate without a specific identity, a permissioned blockchain consists of a set of known, identified nodes that might not fully trust each other. While the characteristics of permissioned blockchains are appealing to a wide range of large-scale data management systems, these systems, have to deal with five important challenges: confidentiality, verifiability, performance, scalability, and fault tolerance. Confidentiality of data is required in many collaborative large-scale data management applications where collaboration between enterprises, e.g., cross-enterprise transactions, should be visible to all enterprises, however, the internal data of each enterprise, e.g, internal transactions, might be confidential. Besides confidentiality, in many multi-enterprise systems, e.g., crowdworking environments, participants need to verify transactions that are initiated by other enterprises to ensure some predefined global constraints on the entire system. Thus, the system needs to support verifiability while preserving the confidentiality of transactions. Verifiability will gain in importance as crowdworking applications increase in popularity, and the need for regulation will arise. Large-scale data management applications also require high performance in terms of throughput and latency. Scalability is one of the main obstacles to business adoption of blockchain systems. To support a large-scale data management application, a blockchain system should be able to scale efficiently by adding more resources to the system. Finally, large-scale data management systems must provide fault tolerance. Fault-tolerant protocols are the main building block of large-scale data management systems. However and and in spite of years of intensive research, existing fault-tolerant protocols, do not adequately address hybrid environments consisting of trusted and untrusted servers which are widely used by enterprises. In this dissertation, we propose several techniques and develop different systems to address all five main challenges of large-scale data management using permissioned blockchains. We have developed systems, called CAPER, SEPAR, ParBlockchain, SharPer, and SeeMoRe to deal with the confidentiality, verifiability, performance, scalability, and fault tolerance requirements of large-scale data management respectively.
The obstacles faced by the junior lecturers of Syiah Kuala University in achieving the required TOEFL scores

The Test of English as a Foreign Language (TOEFL) is an examination used to evaluate a non-native English speaker’s proficiency in the English language. This study was conducted to investigate the obstacles faced by the junior lecturers of Syiah Kuala University in achieving the required TOEFL scores. This research applied a focused description as a method of collecting the data and was located within qualitative research. The population of this research was 23 junior lecturers of Syiah Kuala University who were participating in a training class at the Language Centre of Syiah Kuala University and are in preparation for further study in either home country or overseas universities. The instrument of data collection is a questionnaire guide with google form that was sent to 23 junior lecturers. The questionnaire was used to find out the obstacles faced by the junior lectures in achieving the required TOEFL scores. The collected were analysed by using compiling the percentage, adopting the formula proposed by Sudjono. The finding shows that junior lecturers faced obstacles in answering listening to long conversations with a percentage of 93.3% and avoiding similar sounds with a percentage of 80%. The specific obstacles in the structure written expression section were the skill in answering coordinate connectors, agreement after certain words, and parallel structure with coordinate conjunctions questions with the percentage 60%. The other obstacles were skills in answering agreement after prepositional phrases and skill in agreement after prepositional phrases questions with the percentage 67.7%. Then, the obstacles faced by them in reading comprehension were in recognizing main ideas and determining meanings of difficult words questions with the percentage of 67.7%. It is suggested that the junior lecturers should improve their English proficiency before they take the TOEFL test.
Machines That Invent [Patent Reviews]

Discusses the artificial intelligence machine as the inventor of new technologies. One of the primary consideration is: Who is the inventor? There are study groups on the international level looking at how various national laws would treat such an invention. As we have seen previously, every person contributing ideas to the invention that is claimed in a patent application must be identified in the patent application. Elaborates on this topic from both a technological and legal perspective.
O IMPACTO NOS RESULTADOS DA PESQUISA DE SATISFAÇÃO EM LABORATÓRIO DE ANÁLISES CLÍNICAS / THE IMPACT ON THE RESULTS OF THE SATISFACTION RESEARCH IN THE CLINICAL ANALYSIS LABORATORY

The perception of quality and satisfaction of clients / patients' needs are linked to the quality of the service provided, which has a direct impact on the performance of the service.The purpose of this article was to identify the most appropriate method for conducting customer satisfaction surveys in an analysis laboratory.The survey sought to show the deficit in the number of samples acquired in the satisfaction survey for using only the printed questionnaire as a means of communication.The adopted methodology was of the descriptive type, making use of quantitative method, made possible through the application of structured questionnaires, with objective questions, directed to the clients in a personal approach, applied in the own laboratory.The survey results indicated that 75.6% of customers prefer methods other than the current model used in the laboratory, that is, the printed survey.Regarding the other means of communication mentioned, 38.4% of the interviewees cited the use of a touch screen panel or tablet as the most appropriate method.This is possibly a customer response to this new technological universe, as more and more people are digitally connected and looking for quick and easy solutions.Therefore, it is concluded that customers are increasingly inserted in the digital universe, and consequently, most prefer to answer the survey in a more interactive way.