Reviewerly/exHarmony huggingface dataset:
Reinforcement Learning Algorithms Performance Comparison on the Game of DeepRTS

In this paper, i) we build a framework using macro actions on top of DeepRTS, which is specifically developed for learning purposes, and ii) we train a number of deep reinforcement learning based agents and then we conduct a detailed performance analysis on the performance of these agents. We make changes on the publicly available version of DeepRTS to make it parallel to real life planning problems and make it trainable with a decent hardware. Firstly, we create a set of macro actions based on human heuristics and we train our agent using only these actions. Secondly, similar to the real life planning problem, we change the problem such that we simultaneously take actions for all available unit at a time step. When we consider this situation together with duration of macro actions being different, multiple actions may start and multiple actions ends at any time step. Therefore, the problem draw apart from classical reinforcement learning problem in a certain amount. In addition, the credit assignment problem becomes more sophisticated since each action lasts a duration and at any time multiple actions are conducted. We create three rule based agents to use them as enemy players in training of our agents. We report the performance of the agents as player-1 and player-2 against each others.
International requirements for harmonizing educational programs for training specialists in library and information science

The aim of the article is to determine the Ukrainian higher education institutions’ opportunities for improving educational programmes in 029 Information, Library and Archival Studies specialty in the context of their compliance with IFLA Guidelines for Professional Educational Programs in Library Science and Information Science.&#x0D; The methodology. The study’s methodological tool is a comparative approach to the content and quality criteria of foreign and domestic educational programs for bachelor’s and master’s degrees in Library Science and Information Science. A systematic approach to the educational programs’ cognitive component has allowed to establish compulsory and optional educational components blocks and to determine the efficiency for their content in terms of complication the system of the modern library and information specialist’s general and professional competencies.&#x0D; The results. In the research we have characterized the IFLA Guidelines for Professional Library and Information Science (LIS) Educational Programs, described and presented for public discussion by IFLA Building Strong LIS Education Working Group (Building Strong LIS Education (BSLISE)) in 2021. The study defined international requirements to the content, organizational and methodical bases of the bachelor and master training in Library and Information Science, as well as established the conformity degree of the Ukrainian higher education institutions’ educational programs to IFLA Guiding principles. There were substantiated the opportunities for improving the content and structure of the domestic educational programmes in 029 Information, Library and Archival Studies specialty as to meeting the international criteria for assessing their quality and modern teaching and learning educational methods used in the educational programs.&#x0D; The topicality. For the first time in scientific circulation there has been introduced the content of the IFLA Guidelines for LIS professional educational programmes. These guidelines summarize the international requirements for cognitive, organizational and methodological components of the modern library and information specialists training; allow to establish the compliance degree of domestic educational programs with the world quality criteria.&#x0D; The practical significance. The results of the study may be used by Ukrainian higher education institutions implementing educational programs in the specialty 029 Information, Library and Archival Studies and looking for their compliance with international requirements and quality criteria for the library and information professionals’ training and competitiveness in the processes of Ukraine’s integration into the European educational space.
Upaya Peningkatan Hasil Belajar Siswa Melalui Model Pembelajaran Project Based Learning Dengan Berbantu Google Meet

&lt;p&gt;&lt;em&gt;The objective of this study was to improve student learning outcomes through the application of the Project Based Learning model. The type of research is classroom action research (CAR). The CAR model used was the C. Kemmis &amp;amp; Mc Taggart spiral model which was carried out in 2 cycles. Data collection techniques are test techniques and non-test techniques. The research instrument using questions and observation sheets. The data analysis technique used is comparative descriptive. Based on the results of the study, it was shown that the cognitive domain of mathematics learning outcomes based on the percentage of completeness of pre-cycle, first and second cycle learning outcomes was 40.7%; 70.4%; 88.9%.&lt;/em&gt;&lt;/p&gt;
Pedogenic characteristics of soil in Melur block, Madurai district, Tamil Nadu in India: A case study

Soil is an important source of human life and agricultural production. Studying on the pedon and its site characteristics pave the way for understanding the nature of soils and its utility. A study on pedological characterization of soils in Melur block, Madurai District (Tamil Nadu), was carried out during 2019-2020 using grid sampling with village map/cadastral maps. Soil mapping unit-based soil samples were collected in Chunampoor, Thuvarangulam, Poonjuthi and Veppapadupu and pedons were characterized as per the standard procedure. The results showed that soils were moderately deep to very deep in nature, ranging from 2.5 YR 3/6 to 10YR 4/6. The soil texture varied from sandy clay loam to sandy clay with weak to moderate sub-angular blocky structure. The consistency of soil varied from slightly hard to very hard when dry, very friable to firm when moist, slightly sticky to very sticky and slightly plastic to very plastic in wet condition. The crops viz., paddy, sugarcane, banana, groundnut and vegetables were very suitable for such type of soil of the Madurai district.
CODE MIXING USED BY THE TEACHERS OF LPAM ENGLISH COURSE

This research discuss about Code Mixing Used by Teacher of LPAM English Course in the Teaching Learning process. This research aims to find out the type of code-mixing, and the reason of using code-mixing. The theory used is Hoffman‟s theory about Code Mixing. The data were analyzed using descriptive method. The researcher used observation and interview as the instruments to find out the data. The findings showed that there were three types of code-mixing used by the teachers, they were Intra Sentential Code-Mixing, intra lexical code mixing and Involving Change of Pronunciation, and the reason of using code-mixing were Quoting Somebody Else, Interjection, Repetition Used for Clarification and Real Lexical Need.
A Target Detection Algorithm Based on Faster R-CNN

Target detection is one of the hotspots of image processing research. In the image, due to factors such as distance or light, it will affect the target detection result and increase the error detection rate. Moreover, the existing network training time is too long to meet the actual needs. In order to reduce the lack of light or shadow interference and other factors, based on the Faster R-CNN framework, this paper innovatively proposes a method to improve its feature network ResNet-101 to extract deep features of images.In order to shorten the running time, this paper introduces the region number adjustment layer to adaptively adjust the number of candidate regions selected by RPN during the training process. This paper conducts experiments on the PASCAL VOC data set. The experimental results show that the improved feature network model proposed has an accuracy improvement of 2% compared with the original feature network model. The results show that the target detection algorithm proposed in this paper has higher recognition accuracy than the original algorithm.
Virtual-Microteaching on Search-Analyzing-Practicing-Reflection (SAPR)

This study aims to find alternative learning in the COVID-19 pandemic situation, where the government forbids the implementation of lectures on campus (classes), while lectures must continue.One of the subjects in charge of developing teaching skills or teaching skills is microteaching.Virtual microteaching based on Search-Analysis-Practicing-Reflection (SAPR) activities may serve as an alternative in developing teaching skills of prospective science-physics teacher students.The model was developed using the Tessmer approach and validated by educational technology media experts from several universities in the province of Jambi-Indonesia.The trial was conducted on a group of prospective science-physics teacher students.Based on the results of research, virtual microteaching with all its stages can be used as an alternative in improving teaching skills of prospective science-physics teachers.
SIMULASI UNBK UNTUK SISWA/SISWI TINGKAT SMA

Computer Based National Examination (UNBK) is a national examination implementation system using computers as the test media. In its implementation, UNBK is different from the paper-based national examination system or Paper Based Test (PBT) which has been running so far. Over time the process of implementing the UNBK still experiences many obstacles and obstacles experienced by students, especially those who live in remote villages, namely the lack of understanding and lack of use of information technology. They are still confused to use information technology equipment such as computers to deal with UNBK later. Based on a review of the problems that occur the author will create a website as a UNBK simulation media, with the aim to simulate the implementation of the UNBK, so that students understand and are familiar with the process of implementing the UNBK. Waterfall is a classic model that is systematic, sequential in building software
Pengembangan Komik Cerita Rakyat Asal Usul Sungai Sorai Untuk Siswa Kelas V Sekolah Dasar

This study aims to produce a folklore comic about the origin of the sungai sorai for fifth grade elementary school students and to determine the feasibility of the sungai sorai origin folklore comic for fifth grade elementary school students. This study uses the Research and Development (R&amp;D) method or research and development using the Four-D model (Define, Design, Develop, Disseminate). Data collection techniques used are interviews, questionnaires and written tests. The feasibility of folklore comics was obtained from the results of validation, product trials and written tests. Validation is carried out by design experts, linguists and practitioners. The product trials conducted were limited to only 10 students. The written test used is in the form of objective questions to determine students' knowledge and understanding of folklore comics. The results showed that the validation of design experts obtained an assessment with a very valid category. In validation, linguists obtained an assessment with a very valid category. The next validation is practitioner validation with a very valid category. The product trial used is a limited product trial with the category of student response assessment which is very good. The student's written test in the form of objective questions about folklore comics received an assessment in the very good category. The results of this development research indicate that the folklore comic "The Origin of the Sungai Sorai" is very suitable for use for fifth grade elementary school students.
Analisis Pengobatan Pasien Menggunakan Model Regresi Logistik Biner

Researcher used patient data spread across two residential areas, namely sector 1 and sector2. The research data consisted of four explanatory variables, namely: the age of the patient, the class ofpatients found in the hospital, the patient’s area of residence, and the findings of the disease suffered by the patient. Class, sector, and disease variables are variables categorized into categories 0 and 1. The researcher considers the dummy variables discussed in the explanatory variable variables. Category 0 indicates that the sample does not meet the criteria in the category. Choosing, category 1 shows that the sample meets the criteria in the category. Next, the researcher will estimate the explanatory parameter variables and dummy variables, then do the partial test to get the parameter significance and model it using the Binary Logistic Regression Model. With the Logistic Regression Model, researcher will calculate the consideration of the patient’s recovery. This probability is used as
Communication Pattern Models: An Extension of Action Models for Dynamic-Network Distributed Systems.

Halpern and Moses were the first to recognize, in 1984, the importance of a formal treatment of knowledge in distributed computing. Many works in distributed computing, however, still employ informal notions of knowledge. Hence, it is critical to further study such formalizations. Action models, a significant approach to modeling dynamic epistemic logic, have only recently been applied to distributed computing, for instance, by Goubault, Ledent, and Rajsbaum. Using action models for analyzing distributed-computing environments, as proposed by these authors, has drawbacks, however. In particular, a direct use of action models may cause such models to grow exponentially as the computation of the distributed system evolves. Hence, our motivation is finding compact action models for distributed systems. We introduce communication pattern models as an extension of both ordinary action models and their update operator. We give a systematic construction of communication pattern models for a large variety of distributed-computing models called dynamic-network models. For a proper subclass of dynamic-network models called oblivious, the communication pattern model remains the same throughout the computation.
Multi Keyword Search on Encrypted Data with Ranking

To maintain the anonymity of users, cloud storage owners often outsource encrypted documents. As a consequence, it is important to establish efficient and precise cypher text search techniques. One issue would be that the connection between documents is typically obscured during the encryption process, resulting in a significant deterioration of search accuracy efficiency. Additionally, the volume of data stored in data centers has exploded. This will make it significantly more difficult to create cipher text search schemes capable of providing efficient and reliable online information retrieval on large quantities of encrypted data. The paper proposes a hierarchical clustering approach in order to accommodate additional search semantics and to satisfy the demand for fast cipher text search in a big data environment. The proposed hierarchical approach clusters documents according to their minimum importance levels and then sub-clusters them until the maximum cluster size is reached. This approach can achieve linear computational complexity throughout the search process, spite of the fact that its size of the record set grows exponentially. The minimum hash sub-tree structure is used in this paper to check the validity of search results. The results demonstrate that as the number of documents in the dataset increases, the proposed method's search time increases linearly, while the conventional method's search time increases exponentially. Additionally, the suggested method outperforms the standard method in terms of rank privacy and document relevance.
IMPROVING STUDENTS’ SPEAKING SKILL THROUGH SOMATIC, AUDITORY, VISUAL AND INTELLECTUAL (SAVI) TECHNIQUE AT THE SECOND GRADE STUDENTS OF SMP SWASTA PAB 2 HELVETIA MEDAN

This research aimed to find out speaking skill of the second year students’ of SMP PAB 2 Helvetia Medan. The problem statement was: “To what extent can the use of SAVI (Somatic, Auditory, Visual, and Intellectual) Technique Improve the Students’ Speaking of the second Grade of SMP PAB 2 Helvetia Medan? The objective of the research was to find out Effectiveness of Using SAVI Technique to improve the Students’ Speaking skill. The researcher applied Class Action Reseacrh (CAR) method. The population of the research was of second Grade SMP PAB 2 Helvetia Medan which consisted of 36 students’. Researcher obtained data qualitative and quantitative data, the result showed the improvement students’ speaking ability through SAVI there were 80,19% who passed the Minimum Mastery Criteria (KKM) &gt;60. This resulted come from data in the first cycle I and cycle II. In the cycle I in pre-test I, there were 7 students who succeeded with percentage of 19% and 13 students who did not succeed with a percentage 36% , and the cycle I, there were 5 students who succeeded with percentage 14% and 5 students did not succeeded with a percentage 14% then in the cycle II, there were 19 students who succeeded with percentage 53% and 4 students did not succeeded with a percentage 11% in post-test II. After treatment, their speaking aspect significantly improved. It can be said that SAVI (Somatic, Auditory, Visual, and Intellectual ) is effective to improve the students’ speaking.
Active Goal Recognition Design

In Goal Recognition Design (GRD), the objective is to modify a domain to facilitate early detection of the goal of a subject agent. Most previous work studies this problem in the offline setting, in which the observing agent performs its interventions before the subject begins acting. In this paper, we generalize GRD to the online setting in which time passes and the observer's actions are interleaved with those of the subject. We illustrate weaknesses of existing metrics for GRD and propose an alternative better suited to online settings. We provide a formal definition of this Active GRD (AGRD) problem and study an algorithm for solving it. AGRD occupies an interesting middle ground between passive goal recognition and strategic two-player game settings.
Client-Project-Oriented University Education in Era of Rapid Technological Development and Change of Professions

In the era of rapid technological development in universities, it is advisable to switch to client-project-oriented education.It allows the university to embark on a commercial path of self-sufficiency.Client-project-oriented education allows universities to effectively form partnerships with business and industry to train competent specialists for the implementation of projects.For project production management, a technological competence platform is created for the training of project implementation specialists.According to the required competencies of the project participants, the university prepares training courses for specialists in the acquisition of skills on the technological competence platform.On the technological platform of competencies, students with professional knowledge acquire the necessary professional skills and the ability to work in the project team.They become competent specialists who are ready to participate in the implementation of the project.The university becomes an institution of educational development.Universities form an educational core with a transition to an individual trajectory of education and research.Students receive knowledge and skills to participate in a specific project.The principle of learning mobility is implemented by filling and changing the educational process in accordance with the requests of the students themselves.The principle of learning mobility makes it possible to respond flexibly to the needs of individual companies and subjects of the federation.This principle is manifested through the constant transformation of the functional and organizational structure, allowing universities to adapt to the training of personnel on rapidly changing technologies of the innovative industry and industry.In the era of rapid career change, client-project-oriented education is especially relevant.
UNIVERSITY STUDENTS’ ASSESSMENT OF GENERAL ENGLISH SUBJECT

This study analyzed students’ final test in English for General subject, including the students’ overall scores, understanding the essay instruction, and grammar mistakes found in their essay. This research was conducted using a qualitative descriptive method. The researchers employed document analysis to find related information from the research objectives naturally. The instrument used for the data collection was the students’ answer sheets from the final test, and a summative test was employed as the approach. There were fifty students of non-English Department Study Programs as the participants. The scores achieved conclude that the mean score achieved by the students is in the lowest category. It implies that they still need to improve their writing, such as sentence arrangement, grammar, and vocabulary selection. Furthermore, most students were mistaken in understanding the essay instruction and resulted in incorrect essays.
When to explain: Identifying explanation triggers in human-agent interaction.

With more agents deployed than ever, users need to be able to interact and cooperate with them in an effective and comfortable manner. Explanations have been shown to increase the understanding and trust of a user in human-agent interaction. There have been numerous studies investigating this effect, but they rely on the user explicitly requesting an explanation. We propose a first overview of when an explanation should be triggered and show that there are many instances that would be missed if the agent solely relies on direct questions. For this, we differentiate between direct triggers such as commands or questions and introduce indirect triggers like confusion or uncertainty detection.
SISTEM PROTEKSI TEGANGAN SENTUH PADA INSTALASI LISTRIK BERBASIS EARTH LEAGAGE CIRCUIT BREAKER (ELCB)

An electrical installation is a series of electrical installation equipment that connects an conductor with the electrical equipment used (consumers). The protection factor (safety) is a consideration that must be considered in designing an electrical installation so that it can be used optimally, effectively, efficiently, safely, properly and correctly while ensuring fire safety, of course in accordance with the General Requirements for Electrical Installation (PUIL) 2011. Touch voltage, which means that if a live wire is touched or held on a cable that is stripped of its insulation, then we will be electrocuted. Therefore, in the installation of electrical installations, there must be additional safety besides the Miniature Circuit Breaker (MCB). The additional safeguards are the neutral point (ground) ground and the Earth Leakege Circuit Breaker (ELCB). Electrical installations that use Earth Leakege Circuit Breaker (ELCB) safety must install a neutral point (Ground) ground as a condition for the Earth Leakege Circuit Breaker (ELCB) to work properly and correctly, meaning that if there is a touch voltage we will not be electrocuted, because the MCB and The ELCB will be disconnected (Trip) simultaneously.
Bering Lab’s Submissions on WAT 2021 Shared Task

This paper presents the Bering Lab's submission to the shared tasks of the 8th Workshop on Asian Translation (WAT 2021) on JPC2 and NICT-SAP.We participated in all tasks on JPC2 and IT domain tasks on NICT-SAP.Our approach for all tasks mainly focused on building NMT systems in domain-specific corpora.We crawled patent document pairs for English-Japanese, Chinese-Japanese, and Korean-Japanese.After cleaning noisy data, we built parallel corpus by aligning those sentences with the sentence-level similarity scores.Also, for SAP test data, we collected the OPUS dataset including three IT domain corpora.We then trained transformer on the collected dataset.Our submission ranked 1 st in eight out of fourteen tasks, achieving up to an improvement of 2.87 for JPC2 and 8.79 for NICT-SAP in BLEU score .