Reviewerly/exHarmony huggingface dataset:
Peranan Program Yongjin Erp Sebagai Sistem Informasi Akuntansi Pengendalian Persediaan Bahan Baku

Accounting information system provides information of raw material supplies and holds important roles for the company. Therefore, such activities need to carefully considered due to the elements of company’s assets possess material values in a relatively large amount, and are sensitive to subjects as time, damages, and unpredictable cost when wrongly managed. The purpose of this study is to investigate how far the application of accounting information system in Yongjin ERP manages the supplies data. This is what motivates the author to conduct a research on how the application of information accounting system can benefit in providing accurate information on raw material supplies required. In this study, the author used descriptive-qualitative method. The data used is of year 2017 obtained from the warehouse division. Data were collected through interviews and documentary studies. The study used two types of data sources, which are of primary and secondary. Overall data were obtained, collected, analyzed, and eventually interpreted to investigate the issue and seek for possible explanations. Yongjin Javasuka Company is a foreign owned company engage in manufacturing. The study concludes that the application of Yongjin ERP accounting information system, and the material module in particular have been put to good use and can be maintained further in the future. Likewise, a physical calculation is advisable to be executed more often, specifically on the warehouse division. This will guarantee accuracy of both physical and digital data.
Differentiable Learning of Graph-like Logical Rules from Knowledge Graphs

Logical rules inside a knowledge graph (KG) are essential for reasoning, logical inference, and rule mining. However, existing works can only handle simple, i.e., chain-like and tree-like, rules and cannot capture KG's complex semantics, which can be better captured by graph-like rules. Besides, learning graph-like rules is very difficult because the graph structure exhibits a huge discrete search space. To address these issues, observing that the plausibility of logical rules can be explained by how frequently it appears in a KG, we propose a score function that represents graph-like rules with learnable parameters. The score also helps relax the discrete space into a continuous one and can be uniformly transformed into matrix form by the Einstein summation convention. Thus, it allows us to learn graph-like rules in an efficient, differentiable, and end-to-end training manner by optimizing the normalized score. We conduct extensive experiments on real-world datasets to show that our method outperforms previous works due to logical rules' better expressive ability. Furthermore, we demonstrate that our method can learn high-quality and interpretable graph-like logical rules.
RANCANG BANGUN SISTEM INFORMASI PENJUALAN BERBASIS WEB DENGAN PEMANFAATAN SEO PADA UMKM GADGET HOUSE

Gadget House is one of the MSMEs engaged in electronics, namely selling used laptops. The MSME founded in 2016 starting from marketing through the marketplace. The problem faced by Gadget House so far is the absence of supporting facilities for increasing sales using technology that is able to encourage branding on Gadget House so that the existence of Gadget House is still not widely known by the public so that the level of sales has no potential to increase and marketing is trapped in a price war because intense competition in the marketplace. Based on the problems faced, a research was carried out that aims to find out how to design and implement a-based sales information system web. The method used is the SDLC model Waterfall which consists of needs analysis, design, programming, testing, implementation and maintenance. The result of this research is that the existence of a-based sales information system, web namely web e-commerce, can make marketing more targeted without having to compete with competitors in one platform and is expected to increase brand awareness with proper SEO utilization.
Increasing the Coverage and Balance of Robustness Benchmarks by Using Non-Overlapping Corruptions

Neural Networks are sensitive to various corruptions that usually occur in real-world applications such as low-lighting conditions, blurs, noises, etc. To estimate the robustness of neural networks to these common corruptions, we generally use a group of modeled corruptions gathered into a benchmark. We argue that corruption benchmarks often have a poor coverage: being robust to them only implies being robust to a narrow range of corruptions. They are also often unbalanced: they give too much importance to some corruptions compared to others. In this paper, we propose to build corruption benchmarks with only non-overlapping corruptions, to improve their coverage and their balance. Two corruptions overlap when the robustnesses of neural networks to these corruptions are correlated. We propose the first metric to measure the overlapping between two corruptions. We provide an algorithm that uses this metric to build benchmarks of Non-Overlapping Corruptions. Using this algorithm, we build from ImageNet a new corruption benchmark called ImageNet-NOC. We show that ImageNet-NOC is balanced and covers several kinds of corruptions that are not covered by ImageNet-C.
Land Registration and ‘Disruptive’ (or ‘Trustworthy’?) Technologies: Tokenisation of Immovable Property

After a brief description of the impact of the Fourth Industrial Revolution on land registration law and some of the questions raised by these developments, an attempt was made to find tentative answers. The focus was particularly on Distributed Ledger Technology, blockchains and smart contracts. “Blocks” can not only contain monetary value (the “Bitcoin”), but also represent value of an underlying asset. Here we pass to the digital economy and, more specifically, to the token economy. A first analysis was offered as to how tokenisation may affect land registration and first answers were provided, also looking at the recent trusted technology legislation in Liechtenstein. Although much is still uncertain, a more positive approach as can be found in the law of Liechtenstein, where the new IT technologies as a matter of principle are called “trustworthy”, seems to be more productive than negatively qualifying these technologies as “disruptive”. Unfortunately, the Liechtenstein Act excludes tokenization of immovable property, at least in the Principality itself. It will be worthwhile to watch developments.
Analisis Data Mining Naive Bayes Klasifikasi Pada Kelayakan Penerima PKH

Abstract − Family Hope Program (PKH) is a government program that has been running since 2007 which is a poverty reduction program through the provision of cash assistance to very poor families based on the terms and conditions set. In the implementation of PKH in Limbong Village, Dolok Merawan District, this cannot be maximized because there are still many poor families that have not been channeled by the PKH program so that the funds channeled are not on target. Thus, the classification method is able to find models that distinguish data concepts or classes, with the aim of being able to estimate the class of an object whose label is unknown. Therefore, the Naive Bayes algorithm can predict future opportunities based on past experience. So this research conducts data processing using data mining to classify the eligibility of PKH recipients with the classification method using the Naive Bayes algorithm, which is expected that the data generated from the data mining process can be an evaluation. Keywords : Data Mining, Naive Bayes Algorithm, Classification, PKH
Google My Business Optimization

If your trying to rank in GMB of Google my business it is important to have your pages properly configured for the maximum amount of
Manifold-aware Training: Increase Adversarial Robustness with Feature Clustering

The problem of defending against adversarial attacks has attracted increasing attention in recent years. While various types of defense methods (e.g., adversarial training, detection and rejection, and recovery) were proven empirically to bring robustness to the network, their weakness was shown by later works. Inspired by the observation from the distribution properties of the features extracted by the CNNs in the feature space and their link to robustness, this work designs a novel training process called Manifold-Aware Training (MAT), which forces CNNs to learn compact features to increase robustness. The effectiveness of the proposed method is evaluated via comparisons with existing defense mechanisms, i.e., the TRADES algorithm, which has been recognized as a representative state-of-the-art technology, and the MMC method, which also aims to learn compact features. Further verification is also conducted using the attack adaptive to our method. Experimental results show that MAT-trained CNNs exhibit significantly higher performance than state-of-the-art robustness.
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation

Knowledge graphs (KGs) have helped neural-symbolic models improve performance on various knowledge-intensive tasks, like question answering and item recommendation. By using attention over the KG, such models can also explain which KG information was most relevant for making a given prediction. In this paper, we question whether these models are really behaving as we expect. We demonstrate that, through a reinforcement learning policy (or even simple heuristics), one can produce deceptively perturbed KGs which maintain the downstream performance of the original KG while significantly deviating from the original semantics and structure. Our findings raise doubts about KG-augmented models' ability to leverage KG information and provide plausible explanations.
THE FEATURES OF OCCUPATIONAL BURNOUT IN CIVIL SERVANTS

Aim: to study the presence and severity of the occupational burnout syndrome components in civil servants.&#x0D; Material and methods. A group of 100 civil servants aged 30 to 60 (mean age 41 ± 7.7 years; 63 (63%) males and 37 (37%) females) were randomly selected and examined. All the enrolled people participated in the regular medical check-up programs, and were free from severe chronic conditions. The Ukrainian version of MBI was used to diagnose the burnout syndrome.&#x0D; Results. In general, medium to high levels of professional burnout for all the burnout syndrome components (emotional exhaustion, depersonalization, reduction of professional achievements) were found in 86 (86,0%) people. Among them, 11 (12,8%) respondents had a high level of each of these three burnout syndrome indicators. Emotional exhaustion was the most frequent condition among the enrolled respondents (totally, 78 (78%) people pointed at medium to high level of emotional exhaustion). Depersonalization was the second most common condition with 65% of respondents (65 people) having its medium to high level. Reduction of professional accomplishment (medium to high level) was less common and registered in 54 (54%) respondents. Females, as compared to males, were more vulnerable to emotional exhaustion, presenting the higher average score ([median, interquartile range] 27 (20-33) vs. 19 (15-25), respectively; p&lt;0,001), and the higher total frequency of medium to high level cases of that burnout syndrome component (89% vs. 72%, respectively; p=0,047), namely due to more frequent latter ones (57% vs. 32%, respectively; p=0,027).&#x0D; Conclusion. The high prevalence of occupational burnout, namely its medium to high severity level, among the civil servants has been established, which indicates the urgency of the problem and the necessity for further research to find the causes, effective prevention measures, and ways to overcome the syndrome and restore the mental and physical health of civil servants.
Active contours for overlapping cervical cell segmentation

The nuclei and cytoplasm segmentation of cervical cells is a well studied problem. However, the current segmentation algorithms are not robust to clinical practice due to the high computational cost or because they cannot accurately segment cells with high overlapping. In this paper, we propose a method that is capable of segmenting both cytoplasm and nucleus of each individual cell in a clump of overlapping cells. The proposed method consists of three steps: 1) cellular mass segmentation; 2) nucleus segmentation; 3) cytoplasm identification based on an active contour method. We carried out experiments on both synthetic and real cell images. The performance evaluation of the proposed method showed that it was less sensitive to the increase in the number of cells per image and the overlapping ratio against two other existing algorithms. It has also achieved a promising low processing time and, hence, it has the potential to support expert systems for cervical cell recognition.
Who is reusing data? Successes and future trends

Materials relating to the second webinar of Cambridge Data Week 2020. This webinar brings together speakers to discuss what we know about the current state of play around data reuse, what researchers can do to increase the reuse potential of their data, and possible future development in data reuse.Louise Corti explores the reuse of UKDS datasets, sharing good practice examples and principles to make data more reusable. Tiberius Ignat discusses the possibility of data reuse by machines and the resulting ethical concerns.
AN ANALYSIS ON STUDENTS’ SELF CONFIDENCE IN SPEAKING SKILL

The the purposes of the research 1) to find out the level of confidence of the eighth grade students' confidence in MTs AL JIHAD Pontianak in the Academic Year of 2019/2020. 2) to find out analysis score of students' confidence in speaking skills to eighth grade MTs AL-JIHAD Pontianak in Academic Year of 2019/2020. The research method used in this research was descriptive method. Data collection techniques used in this research resume are indirect communication and structured interviews. Data collection tools are questionnaires and interviews. Based on the results of the study can be concluded that in a manner general self-confidence of eighth grade MTs AL-JIHAD Pontianak in Academic Year 2019/2020 has been particularly good more specifically can be described as follows. 1) The level of confidence of the eighth grade students' confidence in MTs AL JIHAD Pontianak in the Academic Year of 2019/2020 namely having a fairly good level of confidence this is evident from the results acquisition of 62% included in the category quite good. 2).students' self-level scores in speaking skills to eighth grade MTs AL-JIHAD Pontianak in Academic Year 2019/2020 is the result of confidence indicator items in can already have a pretty good confidence this can be seen from .some indicators, namely to ask questions in learning 57%, Expressing their own ideas 61%, Appreciating the opinions of others 59%, Working together 66%, Open to criticism 71%, Optimistic 54%, Daring to present 63%. Suggestions after this research are conducted, which are 1). Students can further increase their confidence through working with the teacher through the provision of facilities that are necessary to carry out. 2) The teacher helps students to increase their confidence in speaking ability through activities that can support students in improving their speaking ability. Keywords : Self Confidence, Speaking Skills
Persepsi pemustaka terhadap sikap pustakawan dalam memberikan layanan sirkulasi di Unit Pelaksana Teknis (UPT) Perpustakaan Universitas Islam Negeri Sulthan Thaha Saifuddin Jambi jambi

Introduction. In this study researchers explain about how user’s perceptions about the attitude of librarians in providing services to the UPT UIN STS Jambi circulation service. Whit this research, we can find out how he attitude of librarians in providing service in UPT UIN STS Jambi circulation service is sees from the perpective of visitors. &#x0D; Data Collection Method. The method that researchers use is qualitative research method. Resource persons in this study were determined by several considerations of people who have used library services and know the librarian code of ethics. The method in collecting data researchers used the method of observation, interviews and documentation. &#x0D; Results and Discussions. The result of this study can be concluded that the services provided by librarians in circulation services UPT UIN STS Jambi to library users are not good, because there are still some attitude of librarians in serving librarians who are not in accordance whit the librarian code of ethics.
CARIDADE EM TEMPOS DE PANDEMIA DO COVID-19

The text proposal is to reflect on the moment when the world is going through a historic health crisis caused by Covid-19, without precedents, with reflections not only in its area of ​​origin, but economic and political. At this moment, many companies, people and institutions are moving to help the hundreds of thousands of people who, losing their income sources, need food. In this regard, however, it is not only through altruism that people move. The question, the focus of the discussion presented here, is about the reasons that motivate these people to help, if they are effective and, as they are for those who need them, the help.
Use of Colorfull Electric Lamp Bell Implementation of Good Practice School Safe Disaster for the Deaf Students in Special School

This study was conducted to train deaf students in terms of their preparedness to save themselves when a disaster occurs, Deaf is the inability to hear a variety of sound intensity. Based on this, the warning alert for them was made with the sound of sirens heard by teachers changing the flashing color codes in all classrooms so that disaster emergency information can be moved visually by deaf students, then they can be immediately transported by procedures that has been determined. This research method uses a single subject, in deaf students at the junior high school level with 5 students. Data obtained through pretest and post test. The results show the fact that every deaf student saves himself and classmates in a careful way. The conclusion of this study is an increase in the level of visual alertness in deaf students in information when a hazard occurs. All deaf students can be more careful when trained to save lives. Their significant improvement in terms of their self defense initiative was extraordinary. All deaf students with a level of mental retardation to average reach an increase of up to 100%. In addition, learning Science bervisi Science-Environtment-Technology-Society on learning achievement determines the difference in increasing disaster response attitudes and knows the attitude of deaf student acceptance of the implementation of disaster learning in Science.Keywords-Deafness, colorful electric lamp bell, disaster safe school, self defense initiative, science-environtmental-technology-social.
English Language Learning-Based Open Space (ELLBOS) for young learners in the tourism area

This research aims to actualize the Tana Toraja district government program as an "English Speaking Area". This research also is subject to improve English communication skills for the young learners in Tana Toraja and produce English Language Learning-Based Open Space (ELLBOS) as a prototype of an English language teaching approach for young learners in the tourism area. The research applied the ADDIE research design consists of three cycles: preparation, implementation, and evaluation. This research found five issues: (1) participant reported that they are enthusiasm in English lessons; (2) the participants need to learn English; (3) the English-speaking skill is essential for students; (4) students revealed that are unhappy in learning English in the classroom; (5) students experienced peaceful learning atmosphere if learning English outside the classroom. This research recommends the significance of applying the English Language Learning-Based Open Space (ELLBOS) for young learners in the tourism area. It is good if the teacher does English learning outside the classroom with open space to feel free to explore their potency in learning English.
Sparse Representation of Hardy Function by Iteratively Reweighted Least Squares

In this paper, we present a new method for sparse representation of rational function in Hardy-2 space by using Iteratively Reweighted Least Squares (IRLS) algorithm and shifted Cauchy kernels. This problem originates from identification of transfer functions of FIR models. We also give two examples and MATLAB codes to illustrate the idea.
Machine Learning can Reduce False Alarms when Detecting Humans in Surveillance Systems

Video surveillance is becoming increasingly common, but with the increased number of cameras comes an increased demand for human operators to watch and issue alarms when needed. If these video feed ...
End to End Media Encryption Procedures

In some conferencing scenarios, it is desirable for an intermediary tobe able to manipulate some RTP parameters, while still providingstrong end-to-end security guarantees. This document defines aprocedure to perform end to end media authenticated encryption.
어린이집 경력교사의 교수몰입과 행복감이 교사-영유아 상호작용에 미치는 영향

The purpose of this research was to verify the effects of teaching flow and happiness of experienced teacher on teacher-child interaction. The sample comprised 115 experienced teachers who are currently working for 3-5 years old children in childcare centers located in Seoul, Gyeonggi and Incheon. In order to measure the teaching flow of the experienced teachers, Flow State Scale 2(FSS-2) was used. Happiness was measured using the Oxford Happiness Questionnaire (OHQ), which was developed by Hills and Argyle (2002). The measurement tool for teacher-child interaction is a self-reported rating scale. That scale was initially invented by Song Geun-young (2017). Pearson’s coefficient-of-correlation was used to investigate the correlation between measurement variables. A multiple regression analysis were conducted to investigate the relative influence of experienced teacher teaching flow and happiness on the teacher-child interaction. The results of this study are as follows. Firstly, there was no difference in teaching flow, happiness, and teacher-child interaction according to their level of educational attainment, career, and the children’s age whom the teachers are taking care of. And according to the type of childcare centers, the quality of teacher-child interaction showed statistically significant differences.. Second, the teaching flow, teachers’ perceived happiness, and the quality of teacher-child interactions have statistically significant relationships each other, except for the ‘loss of self-consciousness’ and ‘the feeling of time being changed’, which are sub-elements of teaching flow. Third, the effects of teaching flow and teacher’s perceived happiness on the quality of teacher-child interaction was found. It means that the higher experienced teachers perceived happiness, the higher the quality of the teacher-child interaction was. Interestingly, experienced teachers'' perceived happiness was a variable that predicted teacher-child interaction and showed a significant influence when it was applied alone, but it was a variable whose influence became insignificant when introduced together with teaching flow.
Past and future of mobile phones

The article describes a hot topic in the mobile wearable industry.In this article, we discuss the past, present and projected future of mobile phones.Also, in general, we will analyze the development trend of the mobile market.