Reviewerly/exHarmony huggingface dataset:
Pengembangan Sistem Informasi Pembelian Obat Secara Kredit Pada Apotik Dengan Menggunakan Model View Controller (MVC)

Purchasing is one of the important areas within the organization. This is because, in the event of purchasing activities, it can meet the needs of supplies needed in an organization, such as the needs of medicines in pharmacies. If the supply of the drug in the pharmacy is thinning, then a purchase is made. At present, there are still many pharmacies that use conventional systems in managing their data. This caused various problems such as the recording of data still using handwriting, drug searches took a long time, and still used a lot of paper in the data documentation. Thus the running purchasing system becomes less effective and efficient. Therefore, there needs to be a system developed in the purchasing system, with the aim that the new system developed can solve the problem and can assist in the management of the data so that the data generated is more accountable and accountable. In order to achieve this goal, appropriate methods such as the use of the Model View Controller (MVC) are required. This MVC method can demonstrate the needs needed in the development of the system. And the result obtained from the use of this MVC method is that it can separate the application logic process with its user interface.
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator

The value function lies in the heart of Reinforcement Learning (RL), which defines the long-term evaluation of a policy in a given state. In this paper, we propose Policy-extended Value Function Approximator (PeVFA) which extends the conventional value to be not only a function of state but also an explicit policy representation. Such an extension enables PeVFA to preserve values of multiple policies in contrast to a conventional one with limited capacity for only one policy, inducing the new characteristic of \emph{value generalization among policies}. From both the theoretical and empirical lens, we study value generalization along the policy improvement path (called local generalization), from which we derive a new form of Generalized Policy Iteration with PeVFA to improve the conventional learning process. Besides, we propose a framework to learn the representation of an RL policy, studying several different approaches to learn an effective policy representation from policy network parameters and state-action pairs through contrastive learning and action prediction. In our experiments, Proximal Policy Optimization (PPO) with PeVFA significantly outperforms its vanilla counterpart in MuJoCo continuous control tasks, demonstrating the effectiveness of value generalization offered by PeVFA and policy representation learning.
THE EFFECTIVENESS OF BOLAM PROGRAM (CHILDREN AND COMMUNITY LITERATION CINEMA) IN LIBRARY AND ARRIVAL OF SIDOARJO DISTRICT

The library is the driving force for literacy in Indonesia. Decreasing the level of interest in reading children and the community resulted in a decrease in literacy conditions in Indonesia. The purpose of this study is to determine the effectiveness of the BOLAM (Cinema for Children and Community Literacy Cinema) at the Sidoarjo Regency Public Library. This research is descriptive. The population in this study are users who have used BOLAM services in the Sidoarjo Regency Public Library as many as 87. The results show that the effectiveness of the BOLAM Program in the Public Library of Sidoarjo Regency when viewed from indicators: 1) The success of the Program was in the effective category, 2) The Success of the Target was in the effective category, 3) Satisfaction of the Program was in the effective category, 4) Input and Output Levels are in the very effective category, and 5) Achievement of Overall Goals is in the very effective category. Based on the results of the study, it can be concluded that the BOLAM Program at the Public Library of Sidoarjo Regency has been running effectively.
Peculiarities of cadets’ professional competences establishment in the context of full-time and distance education

The article is devoted to the research of the issue of future correctional officers’ professional identity establishment. The comparison of self-evaluation of the level of cadets’ professional competences maturity has been carried out under conditions of traditional (full-time) and distance education. The role of the supraliminal self-regulation as a formation factor in learning activities of future penal servants’ professional competency is highlighted
Force profile characterization for thermostatic bimetal using extreme learning machine

The force-displacement profile is a key parameter in manufacturing electric motor thermo-protectors, hence its accurate estimation helps preventing malfunctions due to overheating and/or short-circuits. In this research, we propose a novel force profile characterizer based on a Machine Learning algorithm (ML), the Extreme Learning Machine (ELM). Here, we combine the ELM with a Partial Average Test filter (PAT) to predict the behavior of thermostatic bimetallic strips. The computational efficiency inherent to ELMs allows the use of the algorithm (PAT-ELM) in real manufacturing environments, where computational resources tend to be limited and response time is of the utmost importance. The algorithm results were compared with actual measurements taken from production samples following ASTM B106-08, and the force-displacement profile of the thermostatic bimetallic strips measurements. The results show a correlation in excess of 86% including batches smaller than 50 samples. This result was constant even in cases where measurements were affected by noise present in industrial environments. The time required to obtain the strength profile was significantly lower than alternative methods, making this algorithm suitable for IoT systems.
CURBING SECURITY CHALLENGES FACING CONTEMPORARY NIGERIA

This paper examined the contemporary security challenges facing Nigeria, such as, army/shiite clashes, Boko Haram terrorism, herdsmen/farmers clashes, kidnapping, banditry, cattle rustling, arms smuggling, militancy, illicit proliferation of small arms, violent extremism and insecurity amongst other violent crimes in Nigeria. The paper focused on the strategies to improve on the security situation in Nigeria. It noted that the recent history of Nigeria, is faced with complex, transnational and technology driven security threats. The paper outlined diverse ways, especially in the areas of criminal information processing and sharing, global monitoring and methods to apprehend criminal elements in Nigeria. It also discussed some evolved workable strategies towards tackling the insecurity threats in a coordinated and sustainable manner. The aim of the paper is to make Nigeria a safer country for the people to live in peace and harmony. The study adopted the descriptive methodology. It drew upon primary and secondary sources. Primary sources include oral information and secondary sources include newspapers and books.
Application of bar coding for digital watermarking of video sequences based on frequency transforms

Introduction: Owners of multimedia products face an important problem of protecting their digital data. An effective way to solve it is digital watermarking of video sequences. The challenge is the need to improve the digital watermark tolerance for transcoding when the data are transmitted via unprotected channels. Purpose: Development of method for embedding data into a video sequence which would have a higher tolerance for transcoding. Methods: We propose a novel method for embedding and extracting textual digital watermarks based on the bar coding and Arnold transform. Results: Blind marking schemes have been developed for digital video sequences in chromatic components, based on the discrete wavelet transform and discrete cosine transform. An experimental study has been conducted to check the stability of the proposed method using encoders x264 (AVC/H.264) and x265 (HEVC/H.265). The estimation of transcoding impact has shown that the frequency method based on wavelet decomposition has a high degree of stability. It was discovered during the experiments that for the cases of video transcoding by single-pass compression with a Constant Rate Factor not exceeding 26, the embedded textual information is fully restorable. Practical relevance: The developed method allows you to reliably embed or extract textual data from video sequences compressed using highly efficient coding methods during their transmission viaunprotected channels, providing copyright protection for multimedia product owners.
An Internet-of-Things Application to Assist the Detection of Falling to the Ground

As people get old, the risk of them falling increases; the fall will impact senior citizens more negatively than younger people.My grandmother once fell and hit her when she was alone at home, and she instantly became unconscious.Frequently, senior citizens are unable to help themselves after they fall, even if they remain conscious.However, there isn't a product that senior citizens can use to notify their relatives right away if they fall, and this leads to the question of how we can bring immediate aid to all senior citizens after they fall.This paper brings forward the product and software that can solve this problem.The product is a small wristband that detects any falls or collisions and notifies relatives right away.The software is an accompanying app that shows the data recorded from those falls or collisions, specifically designed for family members to keep track of their elders.We applied our application during our test sessions and conducted a qualitative evaluation of the approach.The results show that this experiment is a great solution to our problem, but with a few limitations and weaknesses.
Distance education in the conditions of 2020 - risks and signs

This article deals with the benefits and risks of distance learning programs being based on the modern information sources. Alco the personal experience of distance teaching, released by teaching stuff of the Department of Physiology, Bioethics and Biosafety, as well as research of psychological comfort during working hours. Personal ways to solve difficulties were in that period are presented, opportunities of effective implementation of obtained experience are proposed, including the back to classical studying scenario.
Evaluating gaps in interdepartmental communication and assessing their relation to employee motivation: An action research study

The study examined members of the administrative staff of a leading international school in New Delhi to identify the underlying causes of gaps in interdepartmental communication and find probable solutions to overcome them. A Professional Learning Community (PLC) of 3 members was formed which undertook action research and presented the findings at the administrative staff In-Service Education and Training (INSET) in January 2020. The paper explores the factors that influence flow of communication within the workplace and how effective internal stakeholder communication is a great contributor to employee satisfaction. Outcomes suggest that the efficacy of interdepartmental communication is directly proportional to people’s understanding and appreciation of the work that other departments do, and their relationships with people and teams.
Digital Transformation In The University’s Information Educational Environment

Modern digital technologies are radically changing the economy, the labor market and the lifestyle of individuals. Digital data is a key factor of production in all areas of socio-economic activity, including modern universities. Universities, in the context of the digital economy, to maintain their position in the global education market, it is important to offer digital services to students on the basis of new models of business processes. The digital transformation of the information and educational environment of the university will allow the use of information technology as a competitive advantage in all areas of the university. The article proposes the basic principles of digital transformation of the educational information environment of the university. The authors propose technologies for digital transformation of the university’s information and educational environment that will help the university build new models of business processes for providing digital educational services. The article notes that the effectiveness of the digital transformation of the university’s information and educational environment is associated with the optimization of the development of digital competencies of the university’s human capital and the digitalization of educational content? The authors propose the technology of crowdsensing (mobile crowdsensing) to work with the mobile information and educational environment of the university. This publication promotes the digital university studies theory.
A Sustainable Approach for the Site Selection of CO2 Underground Storage. Application of Fuzzy-Delphi Methodology

In recent decades, the pace of industrialization has caused an number of environmental problems. A considerable increase in the global energy demand is one of the most important problems in today’s world. In fact, fossil fuels are the main source of energy triggering the release of huge amounts of greenhouse gases into the atmosphere. Many efforts have been made by researchers to come up with different strategies to mitigate the global consequences of greenhouse gas emissions such as global warming. One of these strategies is to reduce the amount of greenhouse gas emited into the atmosphere. This study aims to select the appropriate sites for carbon dioxide underground storage facilities. The selection of the best sites for CO2 underground storage is very important from various perspectives of sustainable development to accelerate the commercialization of such facilities. In this regard, fuzzy-Delphi methodology was used to prioritize the most important criteria in the CO2 storage process. Nineteen sub-criteria were selected in the technical, health, safety and environmental (HSE), economic and social categories. Specialist questionnaires were prepared, considering all relevant scientific and technical aspects, and experts in the field were invited to participate in the survey. The results were analyzed using SPSS 25.0. According to results, Geology and Lithology, Caprock Permeability, Social Acceptance, Depth, Reservoir Permeability, and Porosity were determined as the highest priorities. Based on the results achieved, it can be concluded that technical criteria are of the highest importance in the site selection of underground carbon dioxide site selection facilities.
Legal Risks and Challenges Related to Virtual Currencies

The appearance of the virtual currencies provokes several legal questions beyond their economic-monetary nature. The chapter focuses primarily from a legal point of view on the emergence of virtual currencies after a brief analysis of the concept and development of money, and analyses the related possible and probable legal risks and challenges in comparison to the operation of traditional (fiat) currencies either. The author provides a brief background of the technology of virtual currencies. The chapter considers specific issues that virtual currencies raise concerning the legal regulation in several fields, for example, exchange services, taxation, salaries, lending and borrowing in virtual currencies, law enforcement, money laundering, etc. Before the author assesses the impacts and probable functions of virtual currencies, it is indispensable to have also a look at the relations between state and money through the concept of monetary sovereignty and the related compatibility issues.
Watershed Graphs for Faster Path Planning in Binary Occupancy Grids

We speed up path planning in binary occupancy grids by using the watershed transform to construct a ‘watershed graph’ of the terrain’s topology, thereby cueing the path planner via a heuristic for the search, setting subgoals, or declaring cells to be blocked. Experiments with A*, Theta*, and Phi* showed that the time invested in constructing the watershed graph can be recovered when repeatedly planning paths through the same terrain, or planning paths over longer distances. Speedup factors exceeding 5× were obtained with only modest inflations in path length. This article will help developers and users of path planners who are looking to reduce runtime without disrupting their algorithm architecture.
Occupational Complexity and Executive Functioning

Executive Functioning (EF) such as planning, organization, attention, and self-control, has a high impact on quality of life, but is vulnerable to aging.  One factor that may help to maintain and s ...
Study on Remote Sensing Dynamic Monitoring of Geological Environment

&lt;p&gt;With the continuous development of science and technology, remote sensing technology has become more and more mature and more advanced in our country, and the application of remote sensing technology to the monitoring of geological environment is also an important research problem in continuous improvement in recent years. China has a vast land area, rich mineral resources, strong geological diversity and complex geological environment, and the geological exploration of the origin of mineral resources is a prerequisite for the rationality of mineral development. Therefore, the remote sensing dynamic monitoring of geological environment plays a decisive role in mineral development. With the development of mineral resources, China’s mineral environment is getting worse and worse. In order to ensure the long-term development of mineral resources and the safety of mining personnel. Remote sensing dynamic monitoring of geological environment in mineral areas is of great significance. Based on this, this paper will study the remote sensing monitoring data of mining, and provide help for the remote sensing monitoring of geological environment of mineral development in China.&lt;/p&gt;
Digital doomsday [simultaneous cyber attacks]

Hundreds of thousands of cyber attacks are launched against critical energy, utility, banking, transport and healthcare systems every year, but could they ever bring the world's digital systems to their knees simultaneously to cause economic, social and political chaos on a truly global scale? The answer lies in the efficacy of successful breaches identified to date and a better understanding of the computer systems, networks and cyber-security defences that make up the world's digital infrastructure.
Minkowski Distance as a Quality of Service Assessment Tool

The aim of this paper is to describe an approach to assess the Quality of Service (QoS) of multimedia applications by considering their QoS parameters (i.e., delay, jitter, packet losses) requirements.Audio application was considered for this purpose because of the time-sensitive nature of their QoS requirements.In this work, the objective of QoS assessment is to evaluate the performance of the employed networks to investigate whether they satisfy the requirements of different applications that were sharing the same infrastructure over them.This involved devising a new QoS assessment technique that combines and summarizes the QoS parameters in a single value.This value represents the QoS level provided to the multimedia applications based on the network conditions compared to the QoS level expected for those applications.The devised assessment approach is based on Euclidean and Minkowski distance measures.The proposed approach simplifies the complexity of QoS assessment using simple and mathematically and very straightforward technique based on one equation and a simple mapping process.The obtained results using the devised approach reflects the actual QoS provided by the network for multimedia applications and were comparable to results obtained by some other proposed approaches.
Sistem Prediksi untuk Menentukan Jumlah Pendaftaran Mahasiswa Baru pada Unversitas Catur Insan Cendekia Menggunakan Metode Least Square

The prediction system for determining the number of prospective new students aims to make decisions and prioritize how many new students will be accepted and as a means of enthusiasts for the most study program trends each year, in making a prediction system, a method for good calculations is needed, so it is necessary method for the prediction system. This prediction system uses the Least Square method for the calculation of prediction results for system design carried out with an object-oriented approach using UML. The computer-based system built is web-based using the programming languages PHP and MySQL. From this research, the Least Sqaure method can be implemented to calculate predictions to determine the number of prospective new student registrations and to help the secretariat staff in the admissions section to find out the most interest in the study program each year.
Penentuan Strategi Promosi Universitas Budi Darma Menggunakan Algoritma K-Means Clustering

Budi Darma University is one of the Private Universities (PTS) in the city of Medan, which is inseparable from promotional activities every year. Promotional activities carried out by Budi Darma University use a large enough cost so that the promotion carried out is also expected to get maximum results. The success of the promotion can be seen from the large number of students enrolling in the new school year. A successful promotion can be seen from the promotion strategy used, determining the promotion strategy is not an easy job because it must consider several aspects. To help determine the promotion strategy at Budi Darma University can use data mining, where data mining can find a new pattern of stored data sets. One of the techniques used in data mining is clustering technique with the algorithm used is K-Means. By using the K-Means algorithm the results are divided into 3 clusters where in each cluster the results can be seen to determine the promotion strategy
Duped and Deceived

We are hard-wired to notice, seek, and be influenced by patterns. Sometimes these turn out to be useful; other times, they dupe and deceive us. Our affinity for patterns is powerful—no doubt, aided and abetted by selective recall and confirmation bias. We remember when a pattern persists and confirms our belief, and we forget or explain away times when it doesn’t. We are still under the spell of silly superstitions and captivated by numerical coincidences. We still think that some numbers are lucky, and others unlucky, even though the numbers deemed lucky and unlucky vary from culture to culture. We still think some numbers are special and notice them all around us. We still turn numerical patterns into laws and extrapolate flukes into confident predictions. The allure of patterns is hard to ignore. The temptation is hard to resist.