Reviewerly/exHarmony huggingface dataset:
Research through actual condition analysis related to the partnership aspect of Retail Ready Packaging System

본 논문은 관련분야 선행연구가 미미하였던 제조업체와 유통업체간 물류효율 제고를 위한 포장체계운영방안에 관한 연구를 진행하였다. Retail Ready Packaging을 통해서 국내 제조업체와 유통업체간 포장체계의 운영과 관련하여 문제점 및 개선점을 파악하여 해결방안과 실행방안들을 도출함으로써, 향후 제조업체와 유통업체간 물류효율 제고를 위한 포장체계운영방안을 제시하고자 하였다. 파트너쉽 측면을 검증한 결과 상호 목록화된 Check List가 있을 경우 객관적이고 합리적인 상호 보완의 기능을 발휘할 수 있으며(χ2=121.864, p<0.001), 포장체계 관련 협의체 구성 및 운영은 인식의 차이를 해소하는데 기여할 수 있을 것으로 나타났다(χ2=120.068, p<0.001). 이와 함께 Retail Ready Packaging의 경우 이익을 공유하고 분배하는 시스템을 구축함으로써 상생경영에 기여할 수 있으며(χ2=106.730, p<0.001), 파트너쉽의 향상을 통해 신제품 구성 초기단계부터 제조업체 패키징 담당자가 참여하고 파렛트와의 정합성을 고려한 규격 등 적재효율 향상을 위한 의견이 반영된다면 물류효율이 향상될 것임이 명확해진 것이다(χ2=114.422, p<0.001). 이와 같은 협력방법의 준비를 통해 본 연구에서 제시된 구조적 요인들에 대한 적절하고 효율적인 경영관리를 위하여 제조업체와 유통업체간 각 당사자들이 유기적으로 Collaboration될 때 물류효율향상을 위한 포장체계 운영과 관련된 모든 변수들이 통합적인 관점에서 관리되고 운영될 수 있을 것이다. 이를 통해 새롭게 구성되는 제품의 규격이 파렛트와의 정합성 향상으로 이어질 경우 물류비절감과 사회적 낭비제거는 물론 하역 및 운반 중의 안전 및 품질관리와 친환경 경영에도 긍정적인 영향을 미칠 수 있을 것이다.This paper conducted a study on the packaging system operation plan to improve logistics efficiency between manufacturers and distributors, where prior research in related fields was insignificant. By identifying problems and improvements related to the operation of the packaging system between domestic manufacturers and distributors through RRP, solutions and implementation plans were devised, thereby suggesting a packaging system operation plan to improve logistics efficiency between manufacturers and distributors in the future. As a result of verifying the partnership aspect, if there is a mutually-listed Check List, the objective and rational complementary function can be demonstrated (χ2=121.864, p<0.001), and the composition and operation of a consultation body related to the packaging system resolves the difference in perception. It was found to be able to contribute (χ2=120.068, p<0.001). In addition, in the case of RRP, it can contribute to win-win management by establishing a system for sharing and distributing profits (χ2=106.730, p<0.001), It is clear that logistics efficiency will improve if the manufacturer’s packaging manager participates from the initial stage of new product composition through the improvement of partnership and opinions for improving loading efficiency, such as standards that consider consistency with pallets, are reflected (χ2=114.422, p<< 0.001). Through the preparation of such a cooperative method, all variables related to the operation of the packaging system for improving logistics efficiency when the parties between manufacturers and distributors are organically collaborated for appropriate and efficient management of the structural factors presented in this study. It will be able to be managed and operated from an integrated perspective. Through this, if the newly constructed product standard leads to improved consistency with the pallet, it will have a positive effect on reducing logistics costs and eliminating social waste, as well as safety and quality control during unloading and transportation, and eco-friendly management.
El desarrollo de la expresión oral desde la formación laboral de los estudiantes del oficio en Peluquería

This article offers a procedure for the development of oral expression in the occupational formation of students in the beauty and hairdressing job, so as to solve the insufficiencies they have in communication during the professional service. The procedure is supported by the conception of occupational formation established by the Research Center for Occupational Formation, and in the concepts, characteristics, and spontaneous forms for treating oral expression. For their elaboration, theoretical methods such as analysis, synthesis, induction and deduction, were used. The procedure can be generalized in any polytechnic school where these occupations are studied, with flexibility and adaptability to the existing conditions of the teaching-learning scenery.
THE EFFECTIVENESS OF JAPANESE LANGUAGE VLOG MEDIA AGAINTS THE ABILITY OF SENTENCE PATTERNS SAKUBUN WRITING (ESSAY)

This research is entitled "The Effectiveness of Japanese Language Vlog Media Against the Ability of Sentence Patterns in Sakubun Writing (Essays)". (Quantitative Approach in 3rd Semester Students of the Japanese Language Education Study Program FKIP UHAMKA Jakarta Academic Year 2019-2020). In this millennial era, everyone has the right to express his ideas through in various media. One of these media is a Japanese-language Vlog which contains learning in the field of Japanese Language Education, such as Jerome Polin with his channel named Nihon go Mantappu. There is also another channel called Belajar Bahasa Jepang, and WaGoMu. They all carry the theme of learning Japanese online. This research aims to determine whether or not there is an influence of the use of Japanese Language Vlog Media on the Ability of Sentence Patterns in Sakubun Writing (Essays) for 3rd Semester students in the Japanese Language Education Study Program FKIP UHAMKA. This research uses quasi-experimental methods. The sample and data source of this research were 20 students in 3rd Semester of Japanese Language Education Study Program FKIP UHAMKA, while the data source was the result of student essays. Based on calculations using the SPSS program, from the results of pre-test are obtained a range or distance between the smallest value and the largest value of 38, a minimum value of 50, a maximum value of 88, an average value of 75, and from the Post-test results obtained a range or distance value between the smallest value and the largest value of 30, a minimum value of 65, a maximum value of 95, an average value of 80.4. Based on the SPSS calculation results obtained a sig value of 0.058&gt; 0.005, this means reject H0 or accept H1 which means there is a difference between learning before using vlog media with learning after using vlog media. It can be said that Japanese Language Vlog Media is effective in improving sentence pattern abilities in Sakubun learning. The results of the Questionnaire stated that Japanese Language Vlog Media is very interesting, enthusiastic and can improve the ability of Japanese Sentence Patterns in Sakubun Writing (Essays).
On Testing of Samplers

Given a set of items $\mathcal{F}$ and a weight function $\mathtt{wt}: \mathcal{F} \mapsto (0,1)$, the problem of sampling seeks to sample an item proportional to its weight. Sampling is a fundamental problem in machine learning. The daunting computational complexity of sampling with formal guarantees leads designers to propose heuristics-based techniques for which no rigorous theoretical analysis exists to quantify the quality of generated distributions. This poses a challenge in designing a testing methodology to test whether a sampler under test generates samples according to a given distribution. Only recently, Chakraborty and Meel (2019) designed the first scalable verifier, called Barbarik1, for samplers in the special case when the weight function $\mathtt{wt}$ is constant, that is, when the sampler is supposed to sample uniformly from $\mathcal{F}$ . The techniques in Barbarik1, however, fail to handle general weight functions. The primary contribution of this paper is an affirmative answer to the above challenge: motivated by Barbarik1 but using different techniques and analysis, we design Barbarik2 an algorithm to test whether the distribution generated by a sampler is $\varepsilon$-close or $\eta$-far from any target distribution. In contrast to black-box sampling techniques that require a number of samples proportional to $|\mathcal{F}|$ , Barbarik2 requires only $\tilde{O}(tilt(\mathtt{wt},\varphi)^2/\eta(\eta - 6\varepsilon)^3)$ samples, where the $tilt$ is the maximum ratio of weights of two satisfying assignments. Barbarik2 can handle any arbitrary weight function. We present a prototype implementation of Barbarik2 and use it to test three state-of-the-art samplers.
AMR-To-Text Generation with Graph Transformer

Abstract meaning representation (AMR)-to-text generation is the challenging task of generating natural language texts from AMR graphs, where nodes represent concepts and edges denote relations. The current state-of-the-art methods use graph-to-sequence models; however, they still cannot significantly outperform the previous sequence-to-sequence models or statistical approaches. In this paper, we propose a novel graph-to-sequence model (Graph Transformer) to address the above-mentioned task. The model directly encodes the AMR graphs and learns the node representations. A pairwise interaction function is used for computing the semantic relations between the concepts. Moreover, attention mechanisms are employed for aggregating the information from the incoming and outgoing neighbors, which help the model to capture the semantic information effectively. Our model outperforms the state-of-the-art neural approach by 1.5 BLEU points on LDC2015E86 and 4.8 BLEU points on LDC2017T10 and achieves new state-of-the-art performances.
Exploring Policy Changes and Institutional Constraints - Focus on the Applicability of Text Analysis -

This study focuses on describing the phenomena in which policies varying over time appear as gentle changes when viewed from a long-term perspective through a new institutional lens using text analysis. This research analyzes the economic policy direction announced by the South Korean government over the past 25 years. Based on infrequently-used discretionary words in the policy documents, temporary and partial changes were found in economic policy direction every year, which indicated that the economic policy direction in South Korea has been adapted flexibly to political situations and policy environment established by each presidency. On the other hand, high-frequency words in policy documents played a role in forming and maintaining the fundamental trajectory and framework of the economic policy directions under institutional constraints, and such changes were found to be stable. With respect to changes in policy documents, the duality of the Zipf distribution expressed both variability and stability at the same time. The main contribution of this study is to explore the possibility of comprehensively explaining both institutional constraints and policy changes using text analysis.
Nanophotonics for Quantum Information

I will discuss applications of nanophotonics in quantum optics and solid-state quantum information. I will show how we construct a coherent spin-photon interface in a semiconductor chip by employing nanophotonic cavities, and outline new opportunities by employing novel and integrated nanophotonic structures.
Nothing is permanent but change itself

After just over two years of assuming the challenge to manage our journal, we have continue changing, bit by bit, in order to fulfil our goals.This is going to be the first number with Digital Object Identifier (DOI) system, we planned to do this for a long time but will never get the time to implement it, but, finally, SciELO came to the rescue and, even though DOI were mandatory since 2015, now it has decided to ask their journals to fulfil this criteria (1). DOI is essential to increase visibility and interoperability ofall journals listed in SciELO and now is mandatory. We are starting with all our articles for this year and later will continue with prior years.
Promotion Analysis and Information Systems on Service Quality and Implications on Work Productivity

The impact of advancement and data frameworks in supporting the improvement of an organization association will positively bring benefits. In the advancement of an organization, data frameworks will be aided request to improve the presentation of the organization. With superior it will have the option to keep up hierarchical responsibility. A solid responsibility will influence the administration nature of the organization. Administration quality is an extremely key issue for expanding consumer loyalty. The ramifications of administration quality will build the work profitability of the organization. From this wonder, research is completed utilizing special factors, data frameworks, administration quality and work efficiency with the object of exploration in an organization. This examination utilizes a quantitative methodology with informative exploration techniques. From the examination results, it is discovered that advancement (X1) and data frameworks (X2), administration quality (Y) and work efficiency (Z) have a huge impact.
PRM Algoritmasının Kararlı Hale Getirilmesi

Robots are mechanical devices programmed to perform certain repetitive functions. They can also be programmed to perform many tasks that can be complex or dangerous for humans. In order for robots to be used more effectively and resources more efficiently, they must cross the distance between the starting points and the target points with the least cost. For this, many path planning algorithms have been developed. In this study, the A * algorithm, which gives optimum results in terms of distance, and the PRM algorithm, which is one of the algorithms that give results in the fastest time, have been examined in detail, and various tests have been made by offering suggestions to improve the PRM algorithm. In the study, the outputs of the A * algorithm were accepted as optimum and compared with the other algorithm outputs accordingly. Since the PRM algorithm gives different results each time it is run, in order to stabilize this algorithm, the corner points of the obstacles in the environment were also assigned nodes and this method was tested for different environments. The PRM algorithm working with the new method is named PRM-corner. With this new and original method applied, it has been observed that the PRM algorithm both gives stable results like the A * algorithm and produces fast results from the A * algorithm.
Displays and the New World of Remote Education

Abstract As the COVID‐19 pandemic reshapes the educational landscape, analysts predict that the display business will be impacted by the remote‐learning trend for years to come.
Using Interactive Power Point Media to Improve The Learning Outcomes of Class V Students

&lt;p&gt;&lt;em&gt;The purpose of this study to improve the learning outcomes of class V students using interactive Power Point media. Classroom Action Research (CAR) is carried out in three cycles, where each cycle consists of planning, implementing, observing and reflecting. The subjects of this study were students of grade V SD Negeri Randuacir 03 for the 2020/2021 school year, totaling 18 students. The techniques collection data use observation and tests. From the results of this study indicate that the use of interactive Power Point learning media can improve student learning outcomes in Theme 5 Ecosystem Content of Indonesian Language Learning as evidenced by the percentage of completeness of learning outcomes in cycle 1 67% to 78% in cycle II and increases again to 83% in cycle III.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
A Hybrid Representation of Word Images for Keyword Spotting

In the task of keyword spotting based on query-by-example, how to represent word images is a very important issue. Meanwhile, the problem of out-of-vocabulary (OOV) is frequently occurred in keyword spotting. Therefore, the problem of OOV keyword spotting is a challenging task. In this paper, a hybrid representation approach of word images has been presented to accomplish the aim of OOV keyword spotting. To be specific, a sequence to sequence model has been utilized to generate representation vectors of word images. Meanwhile, a CNN model with VGG16 architecture has been used to obtain another type of representation vectors. After that, a score fusion scheme is adopted to combine the above two kinds of representation vectors. Experimental results demonstrate that the proposed hybrid representation approach of word images is especially suited for solving the problem of OOV keyword spotting.
제2언어 한국어 학습자의 조사 교체 습득 연구 - 장형부정문의 ‘이/가’와 ‘을/를’ 교체를 중심으로 -

This study tests two versions of the Interface hypothesis, the strong and weak hypotheses, by investigating L2 processing of the realization of case marking in the Korean long-form negation constructions. In a self-paced reading study, sensitivity of adult Chinese L2 learners of Korean (n = 60) to the incorrect realization of case marking in the target constructions as efficiently as native speakers (n = 28). The results indicated both L1 Korean speakers and Chinese L2 Korean speakers spent longer reading times when the target constructions included an incorrect case marker at the syntax-semantics interface. Also the learners showed sensitivity to the case marking constraint in the target constructions remained consistent regardless of their Korean proficiency. These results indicate that L2 speakers can integrate multiple sources of information including case marking and aspectual cues when processing the Korean long-form negation constructions.
Use Of Customer Relationship Management Application For Credit Union

Cooperatives are legal entities based on the principle of kinship, which consists of all members of natural or legal persons for the welfare of their members. Where most people want to open a business, it has to have a lot of capital to keep the business from running or growing. Kabanjahe The majority of the population opens a shop to meet their daily needs. The existence of a savings and loan unit can help people in the Kabanjahe region to open a business to improve the economy of people in Kabanjahe. Therefore, we need a system that is very helpful in the cooperative's transaction process. The Customer Relationship Management (CRM) application can support the notification process and simplify the cooperative payment process. This research can help cooperatives and cooperative members to conduct transactions and help members with notification of the funds spent and the date of the last payment of the paper.
“Framework for Banking & Financial Sector Through Artificial Intelligence and Blockchain Technology.” (In respect to Middle East)

Banking sector has always been on the forefront when it comes to pursuing or introducing modern technology and operating framework. With embracement of new technology advancement, AI and Blockchainplays a huge role in technology revolution worldwide. The pace at which banking sector and financial institutions are investing in artificial intelligence and blockchain technology proceeds to attain momentum. Experts comment on, that banks will be investing hugely in Artificial intelligence (AI) as well as blockchain Technology, which will help them to boost their profit through human-machine collaboration appliances, reduces the risk of fraud and human errors. With the help of application of artificial intelligence (AI), blockchain Technology and Machine Learning (ML), banking sector will be able to enlighten on the two major aspects i.e., data access and data privacy and these two aspects will be of prime importance in reference to regulation of cyber frauds, hacking, data breaching, phishing, Malware based attack, etc. This study will analyze on the implementation of Artificial intelligence and blockchain Technology in banking sector of Middle East. As this region is currently focusing on Expo 2020 making “connecting minds, creating future” as a goal, Artificial Intelligence (AI) and blockchain Technology will play significant role in making it successful.
만 5세 반 유아의 그림책을 활용한 음악 만들기프로그램이 음악 적성과 음악 창의성에 미치는 영향

Objective: The purpose of this study is to develop a music making program that utilizes the characteristics of the picture books medium through the ADDIE model sothat teachers can easily apply it to children, and to determine whether it affects children's musical aptitude and music creativity.Methods: The Participants of the study were 42 five-year-old children attending a daycare in Seoul, of which 20 were in the experimental group and 22 in the comparative group.The experimental group participated in a music production program using picture books, and during the same period,the comparison group participated in music activities suggested by the Nuri Course. Using the SPSS 22.0 program, average, standard deviation,independent sampling t-test, and ANCOVA(Analysis of Covariance) were calculated.Results: The music making program using picture books improved children's rhythm and tone which are the sub-items of music aptitude.The music making program enhanced children's music flexibility, music creativity, music logic which are the sub-items of music creativity.Conclusion/Implications: The music making program presented systemic teachinglearning method with which teachers explained the modeling and practiced from simple activitiesto various activities repeatedly in order to make teachers approach music making more easily. It is recommendable to make the music making program by using I-pad and computers.
BLENDING FASTTEXT AND BERT PREDICTIONS FOR TAXONOMY ENRICHMENT

In this paper, we present one of the solutions to the Taxonomy Enrichment shared task co-located with the Dialogue conference. The proposed method blends distributional information from fastText and BERT word embeddings to predict the most likely parent hypernym node for a new term in a taxonomy. More specifically, we are using both the information on hypernym frequency among the most similar entries in the taxonomy and the similarity of hypernyms themselves. DeepPavlov-based fastText and RuBERT finetuned on news texts and Russian Wikipedia achieve a MAP of 0.3939 and MRR of 0.4353.
Pemanfaatan Listrik Tenaga Surya Sebagai Pasokan Listrik Untuk Menghidupkan Mesin Pompa Air Masyarakat Dusun Cilatak, Desa Sukadana, Kecamatan Ciomas, Kabupaten Serang, Banten

The Community Service program activity of the Electricity and Renewable Energy Faculty lecturer team at the PLN Technology Institute for the 2019/2020 fiscal year was carried out in Sukadana village, Ciomas district, Serang region, Banten precisely at RT 011 RW 003 Cilatak hamlet. The selection of Sukadana village as a place to implement Community Service is because this village is still experiencing problems in the construction and development facilities and infrastructure. The problems that are currently being experienced by villagers regarding the clean water distribution for ablution of villagers in the mosque. During this time for ablution in mosque, villagers only rely on water from mountain springs whose distribution relies on gravitational pressure through a plastic hose and accommodated in a large tub located beside the mosque. In addition to being used for ablution, water is also used by villagers to bathing, washing, etc., so that when used for ablution sometimes it is no longer clean because it has been mixed with soapy water used for bathing and washing. Based on those problems, our team provided solution to partner in the form of infrastructure development and clean water supply by reconfiguring the clean water distribution installation for ablution in the mosque by installing solar water pump. The method used in the implementation of this Community Service activity is to approach the villagers during the survey through interviews by providing solution to the problem and conducting questionnaires and socialization in the form of a brief education. The results of the activities have been done by installing 2 units of DC water pump @180 Watt, 4 units of polycrystalline solar modules @100 Wp, 2 units of battery @100 Ah 12 V and 2 units of solar charge controller. With the implementation of Community Service activities in Sukadana village, aside from being able to help overcome the problems faced by partner, besides that it can provide progress and development of infrastructure for partner village and the existence of a partnership that makes that village as IT PLN assisted village.