Reviewerly/exHarmony huggingface dataset:
Ising formulations of some graph-theoretic problems in psychological research: models and methods

It is well known that many NP-hard and NP-complete graph-theoretic problems can be formulated and solved as Ising spin models. We discuss several problems that have a particular history in mathematical psychology, most notably max-cut clustering, graph coloring, a linear ordering problem related to paired comparison ranking and directed acyclic graphs, and the problem of finding a minimum subset of points necessary to contain another point within a convex hull. New Ising spin models are presented for the latter two problems. In addition, we provide MATLAB software programs for obtaining solutions via enumeration of all spin ensembles (when computationally feasible) and simulated annealing. Although we are not advocating that the Ising spin model is the preferred approach for formulation and solution of graph-theoretic problems on conventional digital computers, it does provide a unifying framework for these problems. Moreover, recent progress in the development of quantum computing architecture has shown that Ising spin models can afford enormous improvements in algorithm efficiency when implemented on these platforms, which may ultimately lead to widespread use of the methodology in the future.
Corpus

The corpus we have been using in this book consists of PhD dissertations done in the constructive vein. It has been divided into primary and secondary categories. The reason lies in the history of the book. It started from a series of papers by the first author. For those papers, his primary corpus was mostly Scandinavian, but he had added a few cases from other countries that had shaped work.
FORMATION OF LEADERSHIP POTENTIAL IN ADOLESCENCE BY MEANS OF SOCIO-PSYCHOLOGICAL TRAINING

The article presents a developed training program for leadership development in adolescence "The leader is in each of us", aimed at increasing motivation for active leadership, focus on success and results, development of organizational, communicative skills, creative thinking, and desire for active self-realization.The program of social and psychological training is developed on the basis of research and the developed model of social and psychological factors of formation of leadership potential at youth.Testing the working hypotheses of the study is provided through the development and implementation of socio-psychological training program in the work of high school.The article presents a detailed development of the training program with a detailed description of each of its parts.The total volume of the program consists of 17 hours; it is 8 lessons of 2 hours.The program can be used in the work of educational institutions: schools, lyceums, gymnasiums and colleges.
Educación remota de emergencia dos escuelas profesionales, dos experiencias diferenciadas

The present research work is inscribed in a context of sanitary crisis, product of the Coronavirus pandemic, which keeps the world in constant anxiety aggravated with the beginning of a Second Wave. We are talking about a plague that has sown death and economic disaster throughout the world, causing fear, uncertainty and impatience. This has forced a radical change in people's way of life, and in the interruption of activities such as education, disrupting the normal development of education, both school and university. Since March 2020 (date of the beginning of the Pandemic), the government has been forced to implement remote education as a way to give continuity to teaching at all educational levels using technology to ensure remote learning. In this sense, the use of devices, connectivity and the availability of alternative spaces of instruction to give continuity to studies and the implementation of technological resources have become necessary mechanisms to be implemented in the present stage.
STRATEGI PENGENDALIAN KECEMASAN DALAM PENGAJARAN KETERAMPILAN BERBICARA BAHASA INGGRIS

Anxiety does not always necessarily affect language learners negatively, but excessive levels of anxiety can have a negative effect on learning and teaching process. It can inhibit their ability to learn effectively. Consequently, it causes emotional stress and lower self-esteem and self confidence. This lack of confidence is damaging because it can prevent the learners from using their current ability and discovering their full potential. Second language anxiety can be reduced by improving language proficiency and making reasonable, achievable language learning goals for them to alleviate language anxiety and make the most of their language ability.
No-Reference Mesh Visual Quality Assessment Using Graph-Based Deep Learning

We propose in this work a graph-based deep learning method for mesh visual quality assessment. To carry out this proposal, we transform a given distorted mesh to a graph represented by its adjacency matrix, and extract a set of geometric and perceptual features to be stored into a feature matrix. The two matrices are then learned to a graph convolutional network (GCN). The network is composed by two convolutional layers followed by a max-pooling layer. The Softmax classifier is used to predict the quality relying on the node classification problem. Five classes are considered according to the ground truth scores: very bad, bad, medium, good or excellent quality. Experiments are conducted on two publicly available databases specifically constructed for the quality assessment task. Our method is compared to some influential and effective full and reduced reference methods. The good performance is proven by the excellent correlations with subjective decisions.
World Relief Commission's Activities in Korea and Their Significance: Focusing on the Activities of Elmer Kilbourne

This paper examines the motives and backgrounds of the World Relief Commission, which was closely related to the Oriental Missionary Society among foreign organizations active in Korea, and their activities in Korea. In particular, focusing on the activities of Elmer Kilbourne, who led the World Relief Commission, this paper traces the contributions to Korean social welfare since then. This thesis aims to reveal the role of evangelical Christianity and the contribution of the Korean Evangelical Holiness Church in the reconstruction of post-war Korean society, social work, and the emergence of welfare institutions, by revealing the activities of the World Relief Commission and Elmer Kolbourne. This paper compares the history of Korean society with the history of social work through materials related to the National Association onf Evangelicals, reports and memoirs of Elmer Kilbourne, records of activities of the World Relief Commission, OMS report, general meetings of the Korea Evangelical Holiness Holiness Church, and the Christian Gazette. In addition, it is taking the methodology of historical description with a sociological approach. The conclusion of this paper is as follows. First, the World Relief Commission's activities in Korea began with relief efforts and gradually developed into social work. Second, the World Relief Commission's activities in Korea were carried out through the Korea Evangelical Holiness Church, providing an opportunity for the denomination to take interest in the weak in society and attempt a humanitarian program. Third, the activities of the World Relief Commission in Korea served to further strengthen the anti-communist consciousness formed through the war. Fourth, the US government's support of the World Relief Commission through PL480 strengthened social work, but relatively exposed the limitations of voluntary activities. Finally, in conducting a research on the activities of the World Relief Commission in Korea, there are difficulties and limitations to use the data.
COVER JURNAL OPSI VOLUME 12 NO 1 JUNI 2019

Cover Jurnal OPSI Volume 12 Nomor 1 Juni 2019
Proxy Re-Encryption in cloud using ALBC (adaptive lattice based cryptography)

&lt;p&gt;In recent days, data sharing has provided the flexibility to share the data, store the data, and perform operation on data virtually as well as cost effectively. Data sharing in cloud is one of the feature, which is being popular and widely accepted. However, the concern here is to ensure the data security and this has led the researcher to research in this area. To provide the security several Proxy re-encryption scheme has been introduced, however all these method lacks of efficiency. Hence In this paper, we propose a scheme known as ALBC (Adaptive Lattice Based Cryptography), this scheme follows the two phase i.e. encryption and Re-encryption. Encryption phase has few algorithms such as Key_Gen, Enc, Dec. Similarly ALBC Re-Enc has five algorithm i.e. Key_Gen, Key_ReGen, Enc, Re-Enc, Dec. our algorithm not only provides the security but also solves the problem of RL(Ring-learning) with errors problems. In order to evaluate, our algorithm is compared with the existing model in terms of encryption time, decryption time, re-encryption time, key generation and key regeneration by varying the various key size. When we observe the comparative analysis, it is observed that our algorithm outperforms the existing algorithm.&lt;/p&gt;
Pentingnya Pemilihan Eksfoliator dalam Mengangkat Sel Kulit Mati pada Wajah

Many people use exfoliation to have a flawless face because exfoliation will degenerate dead cell. Most of them are willing to spend their money to achieve perfect skin. The problem is people awareness for buying skin care product are low. They buy skin care product without seeing what they need and good for their skin. They just buy any skin care by other people opinion, if the rating of the product is high they will buy it but when the rating is low the will not buy it. Not all of the skin care was rated correctly because some people rate them without seeing the composition or their skin type. If the awareness doesn’t increase, they will waste their money and will lead to more acne, wrinkles and black spot on the skin. The research method is qualitative method with the purposive technique because the source is females that use exfoliation. The result is people can choose exfoliation product correctly so they can have healthy skin and happy when seeing the result they get by using the product.
Meet MASKS: A novel Multi-Classifier's verification approach

&lt;p&gt;In this study, a new ensemble approach for classifiers is introduced. A verification method for better error elimination is developed through the integration of multiple classifiers. A multi-agent system comprised of multiple classifiers is designed to verify the satisfaction of the safety property. In order to examine the reasoning concerning the aggregation of the distributed knowledge, a logical model has been proposed. To verify predefined properties, a Multi-Agent Systems' Knowledge-Sharing algorithm (MASKS) has been formulated and developed. As a rigorous evaluation, we applied this model to the Fashion-MNIST, MNIST, and Fruit-360 datasets, where it reduced the error rate to approximately one-tenth of the individual classifiers.&lt;/p&gt;
Ecological education in the district library: Searching for efficient practical solutions

The experience of Mishkino Children’s Library in ecological education of children and teenagers is discussed. The projects for environmental protection as well as various formats of work with the population are examined. The library’s participation in Ecoleaer contest is highlighted.
PERANAN POKOK-POKOK MANAJEMEN SISTEM INFORMASI PENDIDIKAN (MSIP) PADA ORGANISASI PENDIDIKAN

ABSTRACT An educational organization will carry out operating functions that must be run within the organization to achieve the objectives of the education itself. Operational functions in educational organizations include accounting / financial operations, staffing, academic / curriculum functions, office administration, teaching and learning activities, buildings and spaces, libraries, alumni. To carry out these operational functions, management needs to be needed, where of course the management functions must run well. Management functions that must be run in moving the operating function to achieve goals that are expected to at least include the functions of planning, organizing, staffing, directing, evaluating, coordinating, and budgeting. Management of Educational Information Systems (MSIP) is a system designed for management needs in an effort to support management functions and activities in an educational organization. Data types and operating functions are tailored to the needs of management. The Educational Information Management System (MSIP) includes: a.Accounting information system / Keuan bro in educational organizations b.Student Information Systems in educational organizations c.Academic Information System / Curriculum in educational organizations d.Student Centered Learning through e-Learning in educational organizations Library information system in educational organizations.
Identifying the User As Genuine/Malign Based on Search Logs and Search History

One of the major challenges a developer may face is security issues/threats on the labelled data. The labelled data comprises of system logs, network traffic or any other enriched data with threat/not threat classification. . There were few studies which categorized the URLs to a specific category like Arts, Technology, etc. In this paper the main research is on the classification of users based on the search logs(URLs). Manually it is difficult to differentiate the user based on search logs. So, we train a machine learning model that takes raw data as input and classifies the user to genuine or malign. This model helps in intrusion detection/suspicious activity detection. For this first we gather data of past malicious URLS as training set for Naïve Bayes algorithm to detect the malicious users. By implementing KNN algorithm effectively we can detect the malign users up to an accuracy of 94.28%. With the help of Machine Learning algorithms like Naïve Bayes, KNN, Random Forest classifiers we can classify the malign and genuine users
Chemical Reaction Path Model of Epigenetic Pb-Zn Mineralisation Process, Example from the Century Deposit, Northern Australia

Knowledge of base metals sediment-hosted mineral systems and the proxies developed to aid their exploration are mostly based on empirical data used to characterise ore deposits.Process-driven models do however provide further understanding of ore-forming processes.For example, geochemical reaction path modelling is effective at predicting mineral alteration assemblages associated with mineralisation, testing hypotheses of ore-forming processes and developing mineralogical/geochemical vectors for exploration.In this study, we focus on the Century deposit in Mount Isa, northern Australia, where we test an epigenetic model using a 1D fluid infiltration model.The geological concept includes circulation of a meteoric fluid at depth passing through an evaporite-bearing sequence (source of chloride and sulphates) and basalts (source of the base-metals), rising through a fault, and deposition of base-metals in organic-rich shales.The first model is conceived to generate the oxidised metalliferous brine, which is then used in a second model to infiltrate carbonaceous shales.The results support the view that thermochemical sulphate reduction is the key mechanism by which base-metals are deposited.Additionally, our models predict a series of alteration zones with increasing Pb, Zn, and Na contents, and decreasing Ca and Mg values towards the orebody.Various carbonate haloes are predicted: siderite, dolomite, and calcite in order of proximity to the deposit.Our results highlight that geochemical models are useful in enhancing our understanding of ore-forming processes (e.g.epigenetic vs syngenetic) and predicting the hydrothermal footprint of the orebody.
Light Source

To build an active-lighting system, selection and configuration of light sources are crucial. In this chapter, we categorize existing light sources based on several criteria and explain the principles and mechanisms of light emission as well as photometric and geometric features of several typical light sources.
Detection of Sentiment Analysis with Co-Occurrence Data using Supervised and Unsupervised Methods

With the rapid growth of user-generated content on the internet, sentiment analysis of online reviews has become a hot research topic recently, but due to variety and wide range of products and services, the supervised and unsupervised domain- specific models are often not practical. As the number of reviews expands, it is essential to develop an efficient sentiment analysis model that is capable of extracting product aspects and determining the sentiments for aspects. A text processing framework that can summarize reviews would therefore be desirable. A subtask to be performed by such a framework would be to find the general aspect categories addressed in review sentences, for which this paper presents two methods. In this paper, we propose an unsupervised model for detecting aspects in reviews. In this model, first a generalized method is proposed to learn multi-word aspects. Second, a set of heuristic rules is employed to take into account the influence of in opinion word ion detecting the aspect. In contrast to most existing approaches, the first method presented is an unsupervised method that applies association rule mining on co-occurrence frequency data obtained from a corpus to find these aspect categories. The proposed unsupervised method performs better than several simple baselines, a similar but supervised method, and a supervised baseline; the proposed model does not require labeled training data and can be applicable to other languages or domains. We demonstrate the effectiveness of our model on a collection of product reviews dataset, where it outperforms other techniques.
A Functionally Separate Autoencoder

&lt;p&gt;&lt;b&gt;According to kids’ learning process, an auto&lt;/b&gt;&lt;b&gt;-&lt;/b&gt;&lt;b&gt;encoder&lt;/b&gt;&lt;b&gt; is designed&lt;/b&gt;&lt;b&gt; which can be split into two parts. The two parts can work well separately.The top half is an abstract network which is trained by supervised learning and can be used to classify and regress. The bottom half is a concrete network which is accomplished by inverse function and trained by self-supervised learning. It can generate the input of abstract network from concept or label. The network can achieve its intended functionality through testing by mnist dataset and convolution neural network.&lt;/b&gt;&lt;b&gt; R&lt;/b&gt;&lt;b&gt;ound function&lt;/b&gt;&lt;b&gt; is added between the abstract network and concrete network in order&lt;/b&gt;&lt;b&gt; to get the the representative generation of class.&lt;/b&gt;&lt;b&gt; T&lt;/b&gt;&lt;b&gt;he generation ability &lt;/b&gt;&lt;b&gt; can be increased &lt;/b&gt;&lt;b&gt;by adding jump connection and negative feedback. At last, the characteristics of &lt;/b&gt;&lt;b&gt;the&lt;/b&gt;&lt;b&gt; network&lt;/b&gt;&lt;b&gt; is discussed&lt;/b&gt;&lt;b&gt;. &lt;/b&gt;&lt;b&gt;T&lt;/b&gt;&lt;b&gt;he input can &lt;/b&gt;&lt;b&gt;be &lt;/b&gt;&lt;b&gt;change&lt;/b&gt;&lt;b&gt;d &lt;/b&gt;&lt;b&gt;to any form by encoder and then change it back by decoder through inverse function. The concrete network can be seen as the memory stored by the parameters.&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;Lethe is that when new knowledge input,&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;the training process make&lt;/b&gt;&lt;b&gt;s&lt;/b&gt;&lt;b&gt; the parameter&lt;/b&gt;&lt;b&gt;s&lt;/b&gt;&lt;b&gt; change.&lt;/b&gt;&lt;b&gt;&lt;/b&gt;&lt;/p&gt;
The Limits of Physical Classrooms and the Possibilities of Virtual Ones

The National Teaching & Learning ForumVolume 29, Issue 6 p. 5-6 Lessons in Digital Learning The Limits of Physical Classrooms and the Possibilities of Virtual Ones Lee Skallerup Bessette, Lee Skallerup BessetteSearch for more papers by this author Lee Skallerup Bessette, Lee Skallerup BessetteSearch for more papers by this author First published: 12 October 2020 https://doi.org/10.1002/ntlf.30254Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume29, Issue6October 2020Pages 5-6 RelatedInformation
Prediction of Intensive Care Unit Mortality Based on Missing Events

Background: The increasing availability of electronic health records has made it possible to construct and implement models for predicting intensive care unit (ICU) mortality using machine learning. However, the algorithms used are not clearly described, and the performance of the model remains low owing to several missing values, which is unavoidable in big databases.
Research managing exploit activity using unmanned aerial vehicle at Ta Zon mine

Currently, there have been no publications of using unmanned aerial vehicles (drones) in mine management and supervision in Vietnam. Meanwhile, drones have been used in many fields worldwide, especially in exploitation management. Therefore, the purpose of this paper is to present the feasibility of applying unmanned aerial vehicles to the management of open-cast mines. The data of this research was collected from Ta Zon 2 quarry using Phantom 4 at two moments (October 2018 and February 2019). Through the methods of calibrating and processing images on specialized software, the authors obtained point cloud data sets and digital elevation models (DEM) of the mining area two times. In which, the point cloud is the key product of the research, this large and detailed data set helps to fully and accurately reproduce and process the DEM and 3D models of the mine area. Next, the authors compared and adjusted DEM of the mine area, resulting in fluctuations of the geological block in Ta Zon 2 quarry which is 21,908 +/- 47 m3. From the obtained results, the study confirms the feasibility and reliability of the method. Thereby, the study opens a new management method of mining activities in open-pit quarries for the Government.
An Analysis of Challenges in Character Recognition on Palm Leaf Manuscripts, and Their Solutions

Information was recorded and transmitted through the use of many traditional methods in ancient times using naturally available material like palm leaves, tree barks etc. which were found suitable for long-term storage. With passage of time, these materials are increasingly prone to deterioration from many internal and external agents, and we are at a risk of losing the valuable information inscribed on them. Digitization is a feasible and available solution preservation of such content. Scanning and digitizing these manuscripts facilitates making it visible and readable for the users. The process of Knowledge retrieval from these manuscripts begins with the first step of Character Recognition. This primary step itself is a very complex task due to the variety of scripts and handwritings on the palm leaf manuscripts. This paper provides an overview about different challenges faced by global researchers pertaining to palm leaf scripts and the solutions proposed by them.