Reviewerly/exHarmony huggingface dataset:
A Study on the Labor Market Transition Performance of Graduates of the Practical and Creative HR development program in the Specialized High Schools

이 연구의 목적은 특성화고 실전·창의인재 양성사업을 통해 양성한 졸업생이 노동시장에서 보여주는 이행 성과를 분석하고, 이를 토대로 특성화고 직업교육 및 NCS 기반 교육과정의 개선방안을 도출하는 데 목적이 있었다. 이를 위해 2017년 4월 기준 취업자로 분류되는 556명을 대상으로 같은 해 12월에 설문조사를 실시하였다. 설문조사로 수집된 데이터를 분석한 결과는 다음과 같이 나타났다. 실전·창의인재 양성사업 졸업생은 정규직 비율, 평균임금 수준이 일반 특성화고 졸업생보다 높은 수준이었고, 보통이상의 직장 만족도를 보이고 있었다. 또한 자격·전공지식 및 기술과 현재 업무에서 보통 수준의 일치도를 보였으며, 향후 진로계획으로는 절반 이상 학생이 계속 근무할 의향이 있는 것으로 나타났다. 연구 결과에 따른 실전·창의인제 양성사업의 발전을 위한 제언으로 졸업생의 일학습병행 및 후진학 등 경력개발을 위한 지원, NCS, 지역특성 및 기업특성을 반영한 차별화된 교육과정 운영의 필요성을 제시하였다. 직업계고 인력양성 사업 수행 관련 정책 제언으로는 학생들의 직무능력 제고를 위한 종합적인 접근 강화, 고교 수준 과정평가형 자격의 산업현장 효용성 제고를 위한 지원 강화, 중소기업의 역할 및 지원 강화를 제시하였다.The purpose of this study is to analyze the performance of the graduates trained through the specialized high school practical and creative HR development programs in the labor market, and to improve the vocational education and NCS-based curriculum. In order to do, a survey was conducted in December of 556 persons classified as employed as of April 2017. As a result of the analysis, graduates of the practical and creative HR development programs had regular jobs and average wages higher than those of generalized high school graduates, and showed above-average job satisfaction, and showed a regular level of agreement between qualification, major knowledge, skills, and current work. Future career plans showed that more than half of students were willing to continue to work The conclusions are as follows. First, support for graduates career development such as parallel work and backward studies is required. Second, differentiated curriculum management that reflects NCS, regional characteristics and company characteristics is needed. Also, we suggested some suggestions as follows. First it is necessary to reinforce the comprehensive approach to enhance the job ability of students. Second, support for the industrial utility of high school level process-assessment qualifications should be reinforced. Third, the role and support of SMEs should be reinforced.
Development of Stock Opname application with integration to SAP Business One using Scrum

SAP Business One is one of the most-used enterprise resource planning systems for small and medium enterprises because of cost, compared to other SAP packages. But SAP B1 does not handle some feature like Stock Opname. Stock Opname is a process to check whether stock in the system is the same in reality. Usually companies do Stock Opname once or more per year, depending on their needs. Therefore, an add-on to manage Stock Opname is needed. This add-on will be developed in website and Android mobile applications. The development uses Scrum as a framework to manage time and quality. To support mobile application, there is barcode scanner and a solution disconnected scenario feature to make application still usable without internet. This system will allow workers to maximize their productivity while doing Stock Opname and also integrate with SAP B1 so the company will have an integrated system.
Holmes A Court, Alan Worsley - Biographical entry - Index to the AMA archive

Holmes A Court, Alan Worsley - Biographical entry - Index to the AMA archive - NAME is a biographical, bibliographical and archival database of SUBJECT with links to related articles and images. ADD MORE DESCRIPTION AS REQUIRED
Single-trial Classification of Fixation-related Potentials in Guided Visual Search Tasks using A Riemannian Network

Brain responses to visual stimulus can provide information about cognitive process or intentions. Several studies show that it is feasible to use stimulus-dependent modulation of the evoked brain responses after gaze movements (i.e., Fixation Related Potential, FRP) to predict the interested object of human. However, the performance of the state-of the-art shallow models for FRP classification is still far from satisfactory. Recent years, Riemannian geometry based on deep learning has gained its popularity in many image and video processing tasks, thanks to their ability to learn appropriate statistical representations while respecting Riemannian geometry of the data in such fields. In this paper, we have investigated a Riemannian network for classifying FRP in guided visual search task. Experiment results showed that the Riemannian network improved classification performance significantly in comparison to the shallow methods.
SISTEM PENDUKUNG KEPUTUSAN HUKUM PEMBAGIAN HARTA WARISAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

Islamic inheritance law regulates the transfer of property from someone who has died to the living. The rules regarding the transfer of assets are called by various Names. Basically, inheritance law in Islam applies to all Muslims throughout the world. Nevertheless, the style of an Islamic state and life in that country or region have a different influence on inheritance law, this is due to several factors. In inheritance law there is a possibility of differences of opinion among the legal experts themselves, especially regarding the verses that allow for more interpretation. In addition, there are limited experts or people who have special knowledge and expertise who can provide solutions to people who need information about the distribution of inheritance. Decision support systems can be used as a solution to a problem or for an opportunity. Decision Support System (SPK) is used in decision making. Decision support system (SPK) uses the term CBIS (Computer Based Information system) which is flexible, interactive, and adaptable, developed to support each solution of specific unstructured management problems. The basic concept of the Simple Additive Weighting method is to find the weighted sum of the performance ratings for each alternative on all attributes. the process of normalization of the decision matrix into a scale that can be compared with all existing alternative ratings so that it can be applied in solving various kinds of case calculations
MANFAAT PERPUSTAKAAN SEKOLAH BAGI PRESTASI BELAJAR SISWA IPS SMP NEGERI 4 SAMPIT

The use of libraries is very necessary in schools as information for completing school assignment, this research was conducted to determine the effect of determine the effect of school library untilization on the achievement of class VIII student achievement on integrated social student subjects in public middle school 4 sampit 2018/2019 academic year. The population in this study were all students VIII of SMP Negeri 4 Sampit which amounted to 264 students, then 40 students were taken sample in this study. The sampling technique used the proposition random sampling . thr data analysis technique used is simple linier regression assisted by SPSS 15. The results of the analysis show that there is a significant influence between the use of the school library on learning achievement in integrated social studies subject in 4 sampit publick middle school 2018/2019 academic year
SPASS-AR: A First-Order Theorem Prover Based on Approximation-Refinement into the Monadic Shallow Linear Fragment

We introduce FO-AR, an approximation-refinement approach for first-order theorem proving based on counterexample-guided abstraction refinement. A given first-order clause set N is transformed into an over-approximation $$N^{\prime }$$ in a decidable first-order fragment. That means if $$N^{\prime }$$ is satisfiable so is N. However, if $$N^{\prime }$$ is unsatisfiable, then the approximation provides a lifting terminology for the found refutation which is step-wise transformed into a proof of unsatisfiability for N. If this fails, the cause is analyzed to refine the original clause set such that the found refutation is ruled out for the future and the procedure repeats. The target fragment of the transformation is the monadic shallow linear fragment with straight dismatching constraints, which we prove to be decidable via ordered resolution with selection. We further discuss practical aspects of SPASS-AR, a first-order theorem prover implementing FO-AR. We focus in particularly on effective algorithms for lifting and refinement.
TRANSFORMING EXCELLENCE INTO INCLUSIVE: CASES FROM UNIVERSITIES IN THE USA, UK, SINGAPORE AND RUSSIA

The article presents a semantic analysis of program documents of universities from different countries, who has leading positions in the QS-2018 ranking. The aim of this study is to provide a meaningful and semantic study of the development strategies of top universities in order to identify trends in the convergence of academic and inclusive excellence. The study conducted a content analysis of plans or strategies for the development of 4 universities: Massachusetts Institute of Technology (MIT, USA), University of Oxford (UO, UK), National University of Singapore (NUS, Singapore), Lomonosov Moscow State University (MSU, Russia). The content analysis criteria were refined indicators of diversity proposed in the model for Inclusive Excellence.The results showed that all program documents identify the basic values of inclusive excellence as the main ones: internationalization, activity, support, development, and others. Inclusive and academic excellence is formed in an environment where the main value and resource is the individual. Descriptors of criterions 1 and 2 are most common in the program documents of MIT and the UO. A comparative analysis of 4 documents showed that the strategy and models of inclusive and academic excellence reflect the unique track of development of the University and the country in which they are implemented.
Hubungan Kecerdasan Naturalistik, Gaya Belajar dan Motivasi Belajar Terhadap Hasil Belajar Biologi Ranah Kognitif Siswa SMA Muhammadiyah 9 Perumnas Tahun Ajaran 2018/2019

Abstract:  Factor that regards to usufruct Biological studying is divided as two which is internal factors and external factors. External factor is indigenous factor environmental whereas internal factor is factor that originates from within self that student. That internal factor amongst those naturalistik's intelligence, learned style and studying motivation. This research intent for (i. ) knows how naturalistik's intelligence SMA Muhammadiyah's student 9 Makassar; (ii.) know how style studies SMA Muhammadiyah's student 9 Makassar; (iii.) know how motivation studies SMA Muhammadiyah's student 9 Makassar; (iv.) know how result studies Biological; (v ) know naturalistik's intelligence relationship students with yielding learned kognitif's domain SMA Muhammadiyah's student 9 Makassar; (vi) knowing styled relationship studies student with yielding learned kognitif's domain SMA Muhammadiyah's student 9 Makassar; (vii) knowing student motivation relationship with yielding learned kognitif's domain SMA Muhammadiyah's student 9 Makassar; (viii) knowing naturalistik's intelligence relationship, learned style and student motivation with yielding learned kognitif's domain SMA Muhammadiyah's student 9 Makassar. This observational type is ex post facto. Exhaustive observational SMA Muhammadiyah's student 9 Makassar school years 2019 / 2020 as much 100 by total samples 80. Samples taking tech be done by use of purposive sampling. Data Collecting tech is kuesioner and documentation. dianalisis's data with tech statistical descriptive and inferensial. Acquired data succeeding dianalisis to answer problem formula already been established. Research hits naturalistik's intelligence by Sri Marwah (2017) with that menunjukan's result exists strong relationship among intelligence naturalistik, emotional intelligence and studying motivation with yielding learned Biological whereas research by Rijal & Bachtiar (2015) point out that exists positive relationship among studying style with yielding learned kognitif Biological, with correlation point as big as 0,577. Base that observational result therefore gets to be concluded that exists relationship among naturalistik's intelligence, learned style, and Biological studying motivation kognitif's domain to usufruct participant studying is taught. Keywords:  Naturalistik's intelligence, Learned motivation, Learned style and Yielding Learned
Bringing the Best Actionable Insights on Cybersecurity: A Call for Papers

Dear Prospective Authors: I am delighted to inform you that this game-changing publishing initiative for bringing the best actionable insights on cybersecurity is entering its third year. The revie...
Experimental realization of a local-to-global noise transition in a two-qubit optical simulator

We demonstrate the transition from local to global noise in a two-qubit all-optical quantum simulator subject to classical random fluctuations. Qubits are encoded in the polarization degree of freedom of two entangled photons generated by parametric down-conversion (PDC) while the environment is implemented using their spatial degrees of freedom. The ability to manipulate with high accuracy the number of correlated pixels of a spatial-light-modulator and the spectral PDC width, allows us to control the transition from a scenario where the qubits are embedded in local environments to the situation where they are subject to the same global noise. We witness the transition by monitoring the decoherence of the two-qubit state.
Webliometric Indicators of IT Expertise of Different Groups of Authors of Digital Educational Resources

A growing proportion of digital educational resources in the total number of study guides necessitates the development of new methods to assess publication activity and rating of authors, university chairs and departments and universities in general. The indicators of publication activity are necessary for making effective management decisions in education. Open data from electronic depositories served as sources of analysis. Custom-developed collector_stat program was used as a tool. On the example of sampling from the open online database of the Joint Fund of Electronic Resources “Science and Education”, we showed the results of calculation and analysis of the relationship between institutional status and IT-expertise of authors’ group of digital educational resources having different statuses in the education system. The group under study includes students of the pre-university training department and bachelor’s program, lecturers and associate professors, as well as administrative staff. The concept of an author’s position was introduced to assess the publication activity. On the back of this concept, we also adopted several integral and physical measures, which constitute a system of subset webliometrics of publications’ array. We observed high correlation and a linear dependence of the proposed measures and demonstrated the impact of management effects. The findings can be used to estimate the parameters and predict the indicators of groups and individual authors in the system of chairs, departments, and universities.
Node Classification with Bounded Error Rates

Node classification algorithms are widely used for the task of node label prediction in partially labeled graph data. In many problems, a user may wish to associate a confidence level with a prediction such that the error in the prediction is guaranteed. We propose adopting the Conformal Prediction framework [17] to obtain guaranteed error bounds in node classification problem. We show how this framework can be applied to (1) obtain predictions with guaranteed error bounds, and (2) improve the accuracy of the prediction algorithms. Our experimental results show that the Conformal Prediction framework can provide up to a 30% improvement in node classification algorithm accuracy while maintaining guaranteed error bounds on predictions.
Enhanced Median Flow Tracker Based on Photometric Correction for Videos with Abrupt Changing Illumination

Object tracking is a fundamental task in video surveillance, human-computer interaction and activity analysis. One of the common challenges in visual object tracking is illumination variation. A large number of methods for tracking have been proposed over the recent years, and median flow tracker is one of them which can handle various challenges. Median flow tracker is designed to track an object using Lucas-Kanade optical flow method which is sensitive to illumination variation, hence fails when sudden illumination changes occur between the frames. In this paper, we propose an enhanced median flow tracker to achieve an illumination invariance to abruptly varying lighting conditions. In this approach, illumination variation is compensated by modifying the Discrete Cosine Transform (DCT) coefficients of an image in the logarithmic domain. The illumination variations are mainly reflected in the low-frequency coefficients of an image. Therefore, a fixed number of DCT coefficients are ignored. Moreover, the Discrete Cosine (DC) coefficient is maintained almost constant all through the video based on entropy difference to minimize the sudden variations of lighting impacts. In addition, each video frame is enhanced by employing pixel transformation technique that improves the contrast of dull images based on probability distribution of pixels. The proposed scheme can effectively handle the gradual and abrupt changes in the illumination of the object. The experiments are conducted on fast-changing illumination videos, and results show that the proposed method improves median flow tracker with outperforming accuracy compared to the state-of-the-art trackers
ONLINE EXAMINATION SYSTEM FOR VISUALLY CHALLENGED

Online Examination for visually challenged is a software solution, which allows a particularcompany or institute to arrange, conduct and manage examinations via online environment. This can be done through the Internet or Local Area Network Environment. Candidate can answerhis/her examination paper on the computer and submit answers. The Examination Softwareevaluates the submitted answers and the results will be available immediately after completion ofthe examination. The online examination system provides the facility for the visually challengedstudents to interact with the system comfortably. Writing an online exam would be a big task foranybody if there is no proper Internet connection and when it comes to visually challengedstudents there would be a lot of issues for them to face while writing any exam. In order to avoidsuch issues and this project has come up with new features to facilitate the visually challengedwith an ease. With the help of packages in python, the facility of text-to-speech and speech-to-textconversion is implemented to provide more functional support for visually challenged students.Also, by integrating with the keys of keyboard it was possible to enhance the functionalitiesprovided. There are various systems which use Internet for utilizing packages / functions of speech-to-text for controlling the flow of the system. Without the Internet facility, the accuracy would be much less for such systems. In this project application, specific keys are used for maintaining the flow of the system. The systems which using speech-to-text for maintaining the flow of system, will require the student voice as input. When multiple visually challenged students are writing the exam at the same time, it would create lot of noise, disturbance for the other students. With the help of this project such disturbances would be minimized to utmost. By integrating the keys, this system can be able to traverse / navigate through the questions stack and submitting the answer can be done at ease, there by maintaining simplicity and secrecy. With the help of specified keys, the visually challenged student can re-listen to the question, update the answers, if necessary and even re-check all the submitted answers before submission. The application has outperformed than the existing systems for visually challenged by facilitating simpler key usage for browsing through the question paper and submitting the answers.
Analisis Perbandingan Rule Pakar dan Decision Tree J48 Dalam Menentukan Jumlah Produksi Kain Tenun Menggunakan Metode Fuzzy Tsukamoto

This study explains the comparative analysis of expert rules and J48 decision tree using Tsukamoto fuzzy in determining the amount of woven fabric production. From the results of the research analysis, it was found that the rule base model in this study was a decision tree with 83.3333% accuracy based on the J48 decision tree algorithm that was tested using WEKA tools. The results of direct comparison analysis with actual production data that J48 decision tree rule is the closest to the actual data is with an error rate of 3.89% so that the accuracy of the truth reaches 96.11%, while using expert rules has an error rate of 14.45% so that the accuracy truth obtained reached 85.55%. Therefore, an idea was found that to make a rule without having to consult with experts, that is enough to use a decision tree with WEKA tools, because WEKA tools will display the accuracy of the truth of the rules formed.
A structural attack to the DME-(3,2,q) cryptosystem

We present a structural attack on the DME cryptosystem with paramenters (3,2,q). The attack recovers 10 of the 12 coefficients of the first linear map. We also show that, if those 12 coefficients were known, the rest of the private key can be efficiently obtained by solving systems of quadratic equations with just two variables.
The Development of Adobe Premiere-Based Learning Media in Moodboard Making Material in SMKN 3 Malang

This development research is aimed to create a product in a form of video tutorial media in fashion design subject.This media is focusing on the material of casual fashion moodboard making in accordance with the basic competency 3.6, 2013 curriculum.This media is produced in a form of compact disk (CD).The development procedure used is ADDIE model.The procedure consists of five steps, they are: (1) analysis, (2) design, (3) development, (4) implementation, and (5) evaluation.The result of validation and test shows that the learning media is very valid and good to use with the feasibility test's result of (1) validation of material's expert is 79.41%, (2) validation of media's expert is 97.61%, and (3) trial (students) is 90%.The recommendation for the next development is to make adobe flash-based interactive multimedia using broader material, and to utilize education's forum as MGMP of fashion designer to introduce the product to the vocational high school's students in Malang.
Towards information-rich, logical text generation with knowledge-enhanced neural models

Text generation system has made massive promising progress contributed by deep learning techniques and has been widely applied in our life. However, existing end-to-end neural models suffer from the problem of tending to generate uninformative and generic text because they cannot ground input context with background knowledge. In order to solve this problem, many researchers begin to consider combining external knowledge in text generation systems, namely knowledge-enhanced text generation. The challenges of knowledge enhanced text generation including how to select the appropriate knowledge from large-scale knowledge bases, how to read and understand extracted knowledge, and how to integrate knowledge into generation process. This survey gives a comprehensive review of knowledge-enhanced text generation systems, summarizes research progress to solving these challenges and proposes some open issues and research directions.