Reviewerly/exHarmony huggingface dataset:
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Construction of metadata database structured by conceptual elements of text structure and semantic search evaluation of Korean studies

Purpose This study aims to develop metadata of conceptual elements based on the text structure of research articles on Korean studies, to propose a search algorithm that reflects the combination of semantically relevant data in accordance with the search intention of research paper and to examine the algorithm whether there is a difference in the intention-based search results. Design/methodology/approach This study constructed a metadata database of 5,007 research articles on Korean studies arranged by conceptual elements of text structure and developed F1(w)-score weighted to conceptual elements based on the F1-score and the number of data points from each element. This study evaluated the algorithm by comparing search results of the F1(w)-score algorithm with those of the Term Frequency- Inverse Document Frequency (TF-IDF) algorithm and simple keyword search. Findings The authors find that the higher the F1(w)-score, the closer the semantic relevance of search intention. Furthermore, F1(w)-score generated search results were more closely related to the search intention than those of TF-IDF and simple keyword search. Research limitations/implications Even though the F1(w)-score was developed in this study to evaluate the search results of metadata database structured by conceptual elements of text structure of Korean studies, the algorithm can be used as a tool for searching the database which is a tuning process of weighting required. Practical implications A metadata database based on text structure and a search method based on weights of metadata elements – F1(w)-score – can be useful for interdisciplinary studies, especially for semantic search in regional studies. Originality/value This paper presents a methodology for supporting IR using F1(w)-score—a novel model for weighting metadata elements based on text structure. The F1(w)-score-based search results show the combination of semantically relevant data, which are otherwise difficult to search for using similarity of search words.
ON THE METHODS OF RESEARCH IN THE PSYCHOLOGY OF MANAGEMENT: ON THE METHODS OF RESEARCH IN THE PSYCHOLOGY OF MANAGEMENT

The analysis of psychological methods currently used for successful personnel management ispresented. Analysis of the empirical data of the study made it possible to determine actions and measures to identify andeliminate shortcomings in the professional activity of the future leader. Particular attention is paid to the types of nonmaterialmotivation. In conclusion, it is concluded that there is no single rule or best method of motivation. Often, intangiblerewards help to achieve the desired result much sooner than cash payments. The most correct decision for a manager is touse a set of measures aimed at stimulating the work of staff.
Pains and Gains of Peer Reviewing in Software Engineering

A young software engineering researcher is invited to be an associate editor (AE) of a major journal in our field. The researcher is very excited. By this point, she has amassed a nice career track-record. She has also been recognized via a number of invitations to serve on our conferences' program committees. But this somehow feels different and more important: there are multiple conferences each year, and all of them have PCs staffed with dozens of members (not uncommonly over 100 in recent years), while there are comparatively fewer journals and, at any point in time, the sizes of their editorial boards are a fraction of a typical conference PC. This is a major additional sign of recognition of the young researcher's expertise and stature in the community. So, the researcher quickly and enthusiastically accepts the invitation.
SEMANTIC CHANGES USED BY MILLENNIAL GENERATION ON INSTAGRAM

Instagram is an application that lets users take photos and videos then share them on various social media. They also can put representative comments in those photos and videos. One interesting thing about the Instagram users' comments is they always update the new vocabulary developed in cyberspace which is then applied in the real world. In Indonesia, Instagram users also do the same, therefore many new vocabularies emerge and are used, for example, tercyduk, ngakak online, salfok, baper, etc. This research aims to find out the types of those new vocabularies based on their category and meaning, and also the use of those vocabularies. The semantic approach is used in analyzing the words because this approach focuses on finding the meaning of a word or a phrase. Therefore, after knowing the meaning, it will be easier to find out the use of each word or phrase
Pelatihan Bahasa Inggris untuk Meningkatkan Kompetensi Guru dalam Pembelajaran di Taman Kanak-kanak

English language learning is one of the attractions of school programs, but due to limited teacher competence often English learning is not structured. English learning activities carried out by singing a song or conventionally with memorization. In singing English songs it turns out that there are many pronunciation errors found, this is very fateful if the introduction of the language pronunciation from the teacher is wrong. Whereas early childhood education is the basis for laying children's abilities. Community service activities are carried out by providing training to teachers on English vocabulary teaching programs with correct pronunciation. In addition, also by providing assistance in the preparation of books or English teaching modules for children. lastly, provide assistance for teachers in implementing vocabulary teaching using correct pronunciation with English learning methods and strategies for young students. As a result of this dedication, teachers' understanding of the concepts of pronunciation of English vocabulary, and also the availability of English learning modul for teachers.
Design and Implementation of Auxiliary System for Senior High School Physics Course

培养学生的物理学核心素养,促进学生思维的形成是高中物理教学的重要目标.丰富课堂教学手段,引入计算机辅助教学提高教学质量,是近年来教学改革的重要方向.该文针对高中物理中的难点模块,采用科学计算软件Matlab设计开发了高中物理教学辅助系统,该系统具有交互性和能实现动画效果.该系统可在课堂教学中帮助学生更加直观地观察到物理过程,提高教学的效果.
Why Test-Driven Development?

This chapter defines what it means to test software. It highlights the advatanges that automated tests have over manual testing, the counterintuitive benefits of writing tests before the code they are meant to verify, and how Test-Drivent Development, the discipline of designing software by writing tests first, can greatly improve your coding workflow and productivity.
Improving collaborative filtering using lexicon-based sentiment analysis

Since data is available increasingly on the Internet, efforts are needed to develop and improve recommender systems to produce a list of possible favorite items. In this paper, we expand our work to enhance the accuracy of Arabic collaborative filtering by applying sentiment analysis to user reviews, we also addressed major problems of the current work by applying effective techniques to handle the scalability and sparsity problems. The proposed approach consists of two phases: the sentiment analysis and the recommendation phase. The sentiment analysis phase estimates sentiment scores using a special lexicon for the Arabic dataset. The item-based and singular value decomposition-based collaborative filtering are used in the second phase. Overall, our proposed approach improves the experiments’ results by reducing average of mean absolute and root mean squared errors using a large Arabic dataset consisting of 63000 book reviews.
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MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation

Due to the increasing concerns for data privacy, source-free unsupervised domain adaptation attracts more and more research attention, where only a trained source model is assumed to be available, while the labeled source data remains private.To get promising adaptation results, we need to find effective ways to transfer knowledge learned in source domain and leverage useful domain specific information from target domain at the same time.This paper describes our winning contribution to SemEval 2021 Task 10: Source-Free Domain Adaptation for Semantic Processing.Our key idea is to leverage the model trained on source domain data to generate pseudo labels for target domain samples.Besides, we propose Negationaware Pre-training (NAP) to incorporate negation knowledge into model.Our method wins the 1st place with F1-score of 0.822 on the official blind test set of Negation Detection Track.
The Design of Android-Based Application for Museum Guide Information System using Beacon Technology

Surabaya is the second largest city in Indonesia after state capital of Indonesia DKI Jakarta. Surabaya as the capital city of east java province is also known as city of heroes to recalling many heroic events during national revolution of Indonesia. In order to memorize many monumental and historical event, Surabaya’s government has built several museums. Museum Surabaya in one of museum in Surabaya that has historical objects collection of Surabaya’s development. This museum is inaugurated by Tri Risma Harini, as Mayor of Surabaya, in May 2015. So far, Museum Surabaya has many visitors. But unfortunately, they just came to look around the object of the museum while taking pictures of themselves without being interested more to discover stories behind the objects. Management of the museum has only prepared some boards of information for every object being displayed that not interested enough for the visitors to read. Besides, the differences time arrival of the visitors caused the management difficulties in providing official museum guide to depict stories behind every historical object to the visitors. This has become a common problem for many museums. Regard to the manner of today’s people, as they become familiar with the use of smartphone technology, the design of android based application using beacon technology can be developed as an information system that assists interactively museum visitors. Visitors have to install this application on their smartphone to get some features like pop-up information of the object being displayed when they approach those object’s area at Museum Surabaya. To attract the attention of the visitor, this pop-up information displayed in the form of text, image and also video. For future opportunities to museum management, this application makes possible for the visitor to make a reservation of their individual or group visit regard to the level of occupancy that provided by the application, on the day they will plan to visit. This information may also describe as graphical report that will be useful to museum management in order to make some managerial decisions. This application also provides information about incoming museum’s events for the visitor, so it may attract the visitor to come to the museum again.
Judicial Jurisdiction over International Copyright Infringement in Cyberspace

Illegal distribution of copyrighted materials in cyberspace of our country and others is quietly widespread. In spite of the obvious legal vacuums, some works such as videos, music recordings as well as musical performances also scientific texts can be sent throughout the world. Publishing works in foreign countries' databases, or accessibility of intellectual works by on-line service providers to subscribers at a global scale are one the biggest legal challenges.  Acts of copyright infringement can instantaneously and simultaneously occur in several countries. Since the accessibility to digital networks is universal as well as interactivity allows recipients and transmitters (of copyrighted works) to change roles, it is difficult to determine the place where an intellectual work is produced, reproduced, distributed, violated or infringed. Concerning international documents, the determination of a competent is subject to the determination of copyrights infringed. But it is ineffective due to the cyber ultra-network. Hence, the article has discussed a new criterion called court of the place of business of Internet Service Providers (ISP) to determine the competent regarding those matters through using library research method that lawmaking can be great help resolving legal ambiguities.
ANÁLISE DA EVOLUÇÃO TEMPORAL DA LEISHMANIOSE VISCERAL NO BRASIL

Objective: Visceral Leishmaniasis - LV is a zoonosis caused by protozoa of the genus Leishmânia, being reservoirs dogs, foxes and marsupials, and vectors the mosquitoes Flebotomineos. It is considered by WHO to be a neglected disease. In 2017, 95% of cases in the world were concentrated in just 10 countries, Brazil being one of them. Methods: An ecological, descriptive, observational study focusing on the analysis of VL morbidity and mortality in Brazil, between 2009 and 2018, using the Diseases and Notification Systems (SINAN) and the Mortality Information System (SIM) as data sources. . Results: In the period between 2009 and 2018, 37,499 cases and 2,821 deaths from VL in the country were confirmed. There was a trend towards stability in the evolution of the disease, except in the Midwest Region, which showed a decrease in the incidence of cases. Males had a relative risk twice as high as females. The North region had the highest rates. As for mortality, the male gender was also more prevalent and the elderly aged 80 and over had the highest rates. Conclusion: VL is still a public health problem in the country because of its endemic character and because it affects young and vulnerable populations. Despite the stability in its evolution in the last decade, the disease showed an increase in mortality in the Northeast and South Regions, a region that also showed an increase in lethality in the period. Measures that contribute to the prevention of new cases and timely treatment should be expanded to face this endemic disease in Brazil.
الصحة التنظيمية کمدخل لتحسين الأداء الوظيفي لأعضاء هيئة التدريس بجامعة طنطا

يهدف البحث الحالي إلى وضع مجموعة من الآليات المقترحة لتحسين الأداء الوظيفي (التدريسي، والبحثي، والمجتمعي) لأعضاء هيئة التدريس بجامعة طنطا باستخدام أبعاد الصحة التنظيمية (وضوح الأهداف، وکفاءة الاتصالات، والتوازن بين السلطة والمسئولية، وإتاحة الموارد، والتماسک والانسجام، والروح المعنوية، والإبداع، والاستقلالية، والتکيف، وکفاءة حل المشکلات).   ولتحقيق هذا الهدف استخدم البحث المنهج الوصفي؛ وذلک لوصف وتحليل الصحة التنظيمية؛ من حيث مفهومها، وخصائصها، وأهميتها، وأبعادها، وکذلک وصف وتحليل الأداء الوظيفي لأعضاء هيئة التدريس؛ من حيث مفهومه، وعناصره، ومحدداته، والعوامل التي تؤثر عليه، وأبعاده، بالإضافة إلى وصف وتحليل العلاقة بين الصحة التنظيمية والأداء الوظيفي.  وقد استعان البحث بالاستبانة؛ للتعرف على درجة توافر أبعاد الصحة التنظيمية بجامعة طنطا، ودرجة توافر أبعاد الأداء الوظيفي لأعضاء هيئة التدريس بها، وطبق البحث على (4) کليات بجامعة طنطا، تغطي أنواع الکليات المختلفة، وهي؛ کلية الصيدلة باعتبارها ممثلة للکليات الطبية، وکلية العلوم باعتبارها ممثلة للکليات العلمية، وکلية التربية باعتبارها ممثلة للکليات التربوية، وکلية التجارة باعتبارها ممثلة للکليات الإدارية والإنسانية، وتکونت عينة البحث من (200) عضو من أعضاء هيئة التدريس بجامعة طنطا. The current research aims at developing a set of proposed mechanisms to improve the functional performance (teaching performance, research performance and social performance) of faculty members at Tanta University using the organizational health dimensions (clarity of goals, communication efficiency, the balance between authority and responsibility, availability of resources, cohesion and harmony, morale, creativity, independence, adaptability, and problem-solving competence). To achieve this goal, the research used a descriptive approach. This approach means describing and analyzing the organizational health in terms of the definition of its concept, its characteristics, its importance, and its dimensions in addition to a description and an analysis of the job performance of faculty members in terms of the definition of this concept, its components, its determinants, the factors that affect it, its dimensions in addition to describing and analyzing the relationship between organizational health and job performance. The research used the questionnaire to identify the degree of availability of organizational health dimensions at Tanta University and the degree of availability of functional performance dimensions for its faculty members. The research was applied to four faculties at Tanta University that represent the different types of faculties. These faculties are the Faculty of Pharmacy as a representative of the medical faculties, the Faculty of Science as a representative of the scientific faculties, the Faculty of Education as a representative of the educational faculties, and the Faculty of Commerce as a representative of the administrative and humanitarian faculties. The research sample consisted of (200) faculty members at Tanta University.
Knowledge extraction from archives of natural history collections

Natural history collections provide invaluable sources for researchers with different disciplinary backgrounds, aspiring to study the geographical distribution of flora and fauna across the globe as well as other evolutionary processes. They are of paramount importance for mapping out long-term changes: from culture, to ecology, to how natural history is practiced.This thesis describes computational methods for knowledge extraction from archives of natural history collections---here referring to handwritten manuscripts and hand-drawn illustrations. As we are dealing with heterogeneous real-world data, the task becomes exceptionally challenging. Small samples and a long-tailed distribution, sometimes with very fine-grained distinctions between classes, hamper model learning. Prior knowledge is therefore needed to bootstrap the learning process. Moreover, archival content can be difficult to interpret and integrate, and should therefore be formally described for data integration within and across collections. By serving extracted knowledge to the Semantic Web, collections are made amenable for research and integration with other biodiversity resources on the Web.
iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs.

The Graphcore Intelligence Processing Unit (IPU) is a newly developed processor type whose architecture does not rely on the traditional caching hierarchies. Developed to meet the need for more and more data-centric applications, such as machine learning, IPUs combine a dedicated portion of SRAM with each of its numerous cores, resulting in high memory bandwidth at the price of capacity. The proximity of processor cores and memory makes the IPU a promising field of experimentation for graph algorithms since it is the unpredictable, irregular memory accesses that lead to performance losses in traditional processors with pre-caching.
A Quantitative Study of the Influence of Urban Form on Large-Scale Application of Rooftop Photovoltaics Using Simplified Method

The large-scale application of distributed photovoltaic system is often impeded by the shading effect between buildings and mismatch between the solar power generation and building energy consumption.This paper explores the relationship between urban form and rooftop photovoltaic installation and utilization potential with implications for low-carbon city planning.This study first investigated the influence of the urban form on the installation potential of the solar rooftop photovoltaics for 12 cities across China which covering different solar climate zones.The significant impact of the urban density on the photovoltaic installation potential is only observed in the cities in high latitude areas with medium solar radiation, and the negative impact can be mitigated by reducing the building height differences, which up to 25% improvement can be expected.Then, taking Shenzhen as an example, the influence of the urban form on the photovoltaic power generation utilization was further investigated for residential, commercial and office type of district building energy consumption profiles.It is found that the densely developed urban built-up environment has positive effect on the solar power utilization in which high percentage of the self-consumption ratio is observed.The self-consumption ratio of the residential district which is the lowest can be effectively improved by mixing with office and business buildings.For typical urban form in Shenzhen which the BCR and FAR are 0.35 and 2.5 respectively, if carefully planned, the rooftop photovoltaics can provide 12.6~18.5% of the building energy consumption and 69.8~75% of the solar power can be directly used by the building, which make the rooftop photovoltaics an important clean and economical energy resource for low-carbon city development.
새로운 범죄관문으로서 다크웹과 테러범죄 대응에 관한 연구

Everyone knows that the Internet is widespread, but it's more extensive than you know and contains information you don't know. This is not because you are not familiar with ICT. It's an area that can't be found on its own, and this is the dark web. This study examined the relevance of various terrorist crimes on the dark web, especially air terrorism. In other words, starting with a review of the structure of the Internet, including an understanding of the dark web, the terrorist trends of recent years have been examined. Lastly, three major countermeasures were proposed.. As a result of the study, the first is to stop terrorist criminals from acquiring the violent means through the Dark Web, and the second is to stop the spread of political, religious and ethnic purposes, which are important elements of terrorist crime. Finally, the value of freedom of expression that can arise through this was once again enhanced.
Time-Variant Variational Transfer for Value Functions

In most of the transfer learning approaches to reinforcement learning (RL) the distribution over the tasks is assumed to be stationary. Therefore, the target and source tasks are i.i.d. samples of the same distribution. Unfortunately, this assumption rarely holds in real-world conditions, e.g., due to seasonality or periodicity, evolution in the environment or faults in the sensors/actuators. In the context of this work, we consider the problem of transferring value functions through a variational method when the distribution that generates the tasks is time-variant, proposing a solution that leverages this temporal structure inherent in the task generating process. Furthermore, by means of a finite-sample analysis, the previously mentioned solution is theoretically compared to its time-invariant version. Finally, the experimental evaluation of the proposed technique is carried out on the lake Como water system representing a real-world scenario and on three different RL environments with three distinct temporal dynamics.