Reviewerly/exHarmony huggingface dataset:
Blockchain Assisted Voting in Academic Councils

Councils are a common organisational structure of Portuguese Universities and Polytechnic Institutes. They make the key decisions, in these organisations, by nominal voting at assembly meetings. The COVID pandemic forced the remote work upon most organisations, including universities and polytechnic institutes. Assuming that a remote assembly requires additional efforts in order to guarantee the integrity of the majority decisions taken by votes expressed by its members, opportunity arises for the use of a blockchain-assisted voting system. Benefits of blockchain, such as verifiability, immutability, tamper resistant, and its distributed nature appear to be a good fit. We propose a novel blockchain-assisted system to support the decision making of academic councils that operate by nominal voting in assemblies, gathering remotely and online.
Unsupervised person re-identification based on removal of camera bias and dynamic updating of the memory bank

In recent years, unsupervised person reidentification technology has made great strides. The technology retrieves images of interested persons under different cameras from massive repositories of unlabeled images. However, in the current research, there are some existing problems, such as the influence of pedestrians appearing across cameras and pseudo-label noise. To solve these problems, we conduct research in two ways: removing the camera bias and dynamically updating the memory model. In removing the camera bias, based on a learnable channel attention module, the features that are only related to cameras can be extracted from the feature map, thereby removing the camera bias in the global features and obtaining the features that can represent the pedestrians. In regards to dynamically updating the memory model, since the instance features do not necessarily belong to the identity represented by the pseudo-label, we adopt a method to update the memory dynamically according to the distance between the instance features and the category features so that the category features tend to be true. We combine the removal of the camera bias and the dynamic updating of the memory model to better solve problems in this field. Extensive experimentation demonstrates the superiority of our method over the state-of-the-art approaches on fully unsupervised Re-ID tasks.
The Effects by Online Exercise Education Methods in Middle Aged

Objectives: Since the study on the effects of online exercise programs due to COVID-19 is limited to specific subjects, we want to understand the effects of real-time video exercise programs and recorded video exercise programs. Methods: In early 2021, participants from Busan Nam-gu Fitness Certification Center were recruited, and after pre-physical measurement, 30 out of 60 people were randomly assigned to a real-time video exercise program group and a recorded video group, and configured 3 times a week, 60 After an exercise experiment for 8 weeks each minute, physical fitness was measured. Results: In the effect on physical fitness, the real-time video program showed a significant increase in both muscle strength and muscular endurance, but the recorded video exercise program did not show a significant increase. Also, in comparison between groups before and after the experiment, there was a significant difference in muscle endurance variables. However, both programs had no significant effect on functional stamina. Conclusions: An online exercise program for middle-aged women was effective. There was a significant increase in muscle strength and muscular endurance among the healthy physical strengths that were easy to guide online, but there was no significant change in functional fitness that was difficult to guide online. In particular, the real-time image showed a marked improvement in muscular endurance compared to the recorded image.
A Study on the Method of Intercultural Education in Korean Language through Field Trips Following Joseon Diplomats’ Records - Focusing on Field Trips Based on Joseon Diplomats’ Records and Targeting Advanced Chinese Learners of Korean

With the recent escalation of cultural conflicts between Korea and China, Chinese Korean language learners often have difficulty communicating with Koreans interculturally, so various methods of intercultural education need to be devised. This study theoretically confirmed that field trips to historical sites can be a good way to improve intercultural communicative competence by providing learners with an opportunity to re-recognize the relationship between the self and the world through visits to historical sites where community memories are preserved. Subsequently, through the survey conducted, Chinese learners agree with the need for intercultural education, and it was confirmed that the use of auxiliary materials such as video media (dramas, films, entertainment programs, documentaries, etc.) and literary works, as well as discussions, role-plays, field trip activities involving native Korean speakers, etc. are preferred. Based on these theoretical exploration and survey results, the records of Joseon envoys who crossed the West Sea during the Joseon Dynasty and landed in Yantai, Shandong Province, before going to Beijing were used as class materials, and Weifang, Shandong Province, an area they passed through, was designated as a field trip area. An educational plan consisting of pre-learning, introduction, discussion, field trip, role play and re-discussion, achievement evaluation, and assignments was prepared and taught to Chinese Korean language learners attending university in Weifang, and its usefulness was confirmed.
The Work of a Confucian Scholar in the 20th Century as Compiler: Focusing on Songseok Lee Byung-yeon

This paper examines the work of Songseok Lee Byung-yeon(1894-1977) as a compiler of books and documents, a twentieth-century Confucian scholar in Gongju, Chungcheongnam-do Province. Lee Byung-yeon edited and published Joseon Hwanyeoseungram(朝鮮寰輿勝覽), a vast human geography book on 129 counties in the 1930s, but even basic information on his life has not yet been reported to the academic world. Drawing on the life of Lee Byung-yeon, this paper discusses the process and backgrounds of the publication of the books he compiled: Joseon Hwanyeoseungram, Buyeo Geumseongdanji(扶餘錦城檀誌), Daesongdan Sillok, Yeonseong Chungjeonggong Yeonbo(延城忠靖公年譜), The Collected Poems of Nango(蘭皐詩集), etc. Despite living in poverty, Lee Byung-yeon gained practical knowledge and experience by participating in the compilation of documents published by his father Lee Won and uncle Lee Seok from the age of 19. Joseon Hwanyeoseungram covered data on a national scale, dealt with each county in an individual volume, and included extensive personal information. This came from Lee’s experience of assisting his father and uncle to publish documents. The success of Joseon Hwanyeoseungram had provided a stable socio-economic foundation for Lee Byung-yeon since his forties. He continued to edit and publish documents related to his ancestors, thereby enhancing the status of his forefathers and strengthening the ties of kinship. For Confucian scholars who lived in the 20th century, the social atmosphere of the time pointed to an era of crisis. They responded to the changed environment in various ways, such as compiling Confucian literature, publishing genealogies, academic research, glorifying ancestors, and preserving relics. As is well known, the development of printing technology in modern and contemporary times has produced and distributed a large amount of knowledge and information, which led to the formation of new ideas and perceptions. It is also worth noting that in combination with a new printing culture, Confucian literature, such as genealogy and collections of literary works, has also been greatly expanded. Lee Byung-yeon’s life and compilation work are a typical example of this change in circumstances.
A Study on Creating Oscar of 「Sweat」 by Lynn Nottage - Focusing on the Big 5 Model and Theatre Game of Viola Spolin -

본 연구는 ｢Sweat｣ "오스카"의 역할 창조 과정에서 성격특성이론과 비올라 스폴린의 연극게임 훈련 과정을 접목시켜 보다 입체적이고 다채로운 역할을 창조하고 실제 프로덕션 과정을 통해 검증하는 것을 목적으로 한다. 린 노티지(Lynn Nottage)의 ｢Sweat｣는 미국 제조업이 몰락하는 가운데 신자유주의와 자본주의로 인해 파괴된 노동계급의 처절한 삶과 그 안에서 발생하는 인물들의 갈등을 보여주고 있다. 각 인물 사이에서 발생하는 사건들은 그들의 독특한 성격적 특성을 과감히 드러내고 있어, 인물 분석 과정에서 오스카의 성격적 특성에 중점을 두어 분석하였다. 그런데 오스카는 다른 인물들과의 직접적인 교류가 매우 부족하며, 극에서 오스카의 성격이 드러나는 언어적 요소는 많지 않다는 것을 확인하였다. 따라서 기존의 연기접근 방법론을 통한 인물의 성격 분석방법은 텍스트에서 파악할 수 있는 정보의 한계로 인해 어려움에 직면하였다. 이를 해결하기 위해 "성격의 5요인 모형"을 통해 오스카의 성격유형을 도출하고자 하였다. 성격의 5요인 모형은 심리학에서 성격의 유형을 파악하는 데 보편적으로 사용되는 실무적인 연구방식이기에 인물의 성격을 유형화하는 분석이 가능하리라 판단하였다. 이를 통해, 오스카에게서 ‘높은 수준의 자의식’, ‘결핍된 사교성’, ‘도전적인 수용성’, ‘냉철한 가치추구’, ‘끊임없는 성취 열망’이라는 5가지 요인을 도출하였다. 그 결과, 기존의 배우 개인의 주관적인 성격 분석 방법을 보완하여 더욱 구체적이고 객관적인 인물 분석을 실행할 수 있었다. 또한, 도출해낸 오스카의 성격적 특징을 실제 프로덕션 과정에서 신체적으로 구현하기 위해 비올라 스폴린의 연극게임을 도입하였다. 스폴린의 연극게임은 배우의 즉흥성과 충동을 최대한 끌어올려 배우들이 기존의 틀에서 벗어나 더욱 자유로운 연기를 하도록 돕는 훈련법이다. 스폴린의 연극게임 훈련 중 오스카의 성격 특징을 신체화 하는데 가장 적합한 연극게임인 ‘등을 위한 훈련, ’정서 강도의 변화‘, ’접촉‘ 게임을 선택해 활용하였다. 3개의 게임은 실제프로덕션 과정에서 적용할 수 있는지, 오스카의 효과적인 직관적 움직임을 유도할 수 있는지, 각 장면에서 오스카의 성격 특징을 극대화할 수 있는지 여부를 기준으로 선별되었다. 이 과정에서 기존의 연극게임을 프로덕션에 맞게 변형하여 게임을 구성하였으며, 이를 토대로 즉흥성을 강화하고 신체적으로 자유로운 연기를 구사할 수 있도록 촉진하였다. 본 연구는 5요인 모형을 활용한 인물분석 방법을 제시하여 기존 연기접근 방법을 보완하고 연극게임을 통해 즉흥성과 충동을 발전시킴으로써 오스카의 역할 창조에 효과적인 방법론을 제시하고자 하였다. This study aims to create a stereoscopic and colorful character of Oscar in ｢Sweat｣by using a characteristic analysis theory and Theatre Games of Viola Spolin. Lynn Nottage’s ｢Sweat｣shows the destroyed desperate life and conflicts of the blue-collar caused by neoliberalism and capitalism in the collapsing American manufacturing industry. As the incidents among the characters in ｢Sweat｣ demonstrate their peculiar personalities, this paper focuses on their personalities. However, there are little elements that show Oscar’s characteristics because Oscar scarcely interacts with other characters. Because of the limitation of information from the text, it was difficult to derive Oscar’s personality clearly with conventional analysis methods. To solve this problem, the ‘Big 5 Model’ was used because this model is a practical research method normally used for verifying the type of personal characteristics. As a result, Oscar’s 5 characteristics were derived: ‘Strong self-consciousness’, ‘Lack of Sociality’, ‘Defiant Receptivity’, ‘Realistic Value-pursuing’, and ‘Constantly Pursuing Accomplishment’. In addition, Viola Spolin"s ‘Theatre Game’ was applied to physically embody the characteristics of Oscar in the actual performance. Theatre Game is a training method that maximizes the improvisation and impulse of actors. As a result, this study suggests a possibility that gets a way to create the character of Oscar by improving improvisation and impulsion through Theatre Games and the Big 5 model.
The Effects of a Mathematical Word Problem Program Based on WOE (Worked-out Example) for Underachieving Student

본 연구는 수학 학습부진 학생을 대상으로 WOE 기반 수학 문장제 원격 학습 프로그램을 개발 및 실시하고, 그 효과를 분석하였다. 이를 위하여 중학교 1학년 3명을 대상으로 12번의 중재로 구성된 WOE 기반 수학 문장제 원격 학습 프로그램을 실시하였다. 각 연구 참여자의 수학 문장제 해결 능력은 중재 전, 중재 중, 3주 후에 총 18번 측정되었다. 교육 프로그램은 학습자가 답안을 참고하여 스스로 학습하는 자율 학습 단계, 답안이 일부 소거된 WOE를 참고하여 교사와의 질의응답을 통해 문제를 해결하는 보충 학습 단계로 구성되었다. 세 학생 모두 문장제 문제 유형에 숙달하였으며, 중재 및 유지 단계에서 수학 문장제 해결 능력이 향상 및 유지된 것으로 나타났다. 본 연구는 WOE 기반 원격 학습 프로그램이 수학 문장제의 숙달도와 수학 문장제 해결 능력 향상에 효과적이라는 것을 보여준다.This study examined the effects of a WOE-based remote learning program for underachieving students on mathematical word problem solving. Three middle school students in the seventh grade were selected for their under achievements in math and participated in the WOE-based remote learning program, which was comprised of a total of 12 intervention sessions. The students' abilities to solve math word problems were measured 18 times throughout, baseline, intervention and maintence stages. The educational program for math word problems used in the study consisted of the self-regulated learning stage, in which students studied and solved problems for themselves by consulting WOEs that were fully presented, and the compensatory learning stage, in which they solved problems by consulting WOE where completion effects were applied and had a Q&A session with their teachers. The analysis results show that the three participants became proficient with the type of word problems in each session and improved their abilities to solve math word problems after the interventions. These findings demonstrate that a WOE-based remote learning program is effective for the proficiency of math word problems and ability of solving math word problems for underachieving middle school math students.
KOMPAKS Community Communication Network in Cat Care

The study aims to describe the KOMPAKS community communication network in cat care. The method used in this study is quantitative descriptive with communication network analysis techniques. The population of this study is the KOMPAKS Community. Snowball Sampling technique for sampling while data retrieval using questionnaires and interviews is not structured. Data analysis techniques use communication network techniques with the help of the UCINET 6 application. The result of this study is, the first pattern of communication network structure formed in the Kompaks community is the structure of the Roda communication network. Both roles of communication network structure in the KOMPAKS Community found roles, neglected. Third, in this study, there are no clicks because the terms and conditions on the click do not have a KOMPAKS Community communication network in cat care. The four leaders of the opinion that there are 6 people in the network have an important role in influencing and increasing the participation of community members in cat care. Fifth in this study there are 4 types of innovation adopters in research, namely, innovator, early adopter, early majority, late majority.
Pelatihan Toefl Preparation Course Bagi Mahasiswa Program Studi Pendidikan Matematika Fakultas Fkip Universitas Batanghari

Mastery of foreign languages, especially English, is very important in efforts to improve the quality of human resources in the world of education. By imposing international quality standards, a campus has committed to enter a management domain that is no longer based on local quality standards and demands. Bilingual delivery of materials is a mandatory requirement for international standard schools. Of course, this is impossible if the teachers/teachers do not have English language competence. TOEFL equivalent English training is one of the efforts that can be done to improve the ability to master English for Mathematics students. Therefore, a TOEFL Preparation Course training program was conducted for students of the Mathematics Education study program FKIP Unbar to improve students' English skills. This program is carried out for 4 months. The training is divided into three basic skills, namely, Listening, Structure and Written Expression, and Reading Comprehension. Each session is held for 90 minutes with a balance of theory and practice in the form of working on practice questions. Meanwhile, to determine the initial and final abilities of the participants, a pre-test and post-test were carried out with TOEFL equivalent English test material. The results of this activity showed that students were satisfied and enthusiastic about participating in the training. In addition, there was an increase in students' English skills as indicated by an increase in post-test scores.
Dual-flow network with attention for autonomous driving

We present a dual-flow network for autonomous driving using an attention mechanism. The model works as follows: (i) The perception network extracts red, blue, and green (RGB) images from the video at low speed as input and performs feature extraction of the images; (ii) The motion network obtains grayscale images from the video at high speed as the input and completes the extraction of object motion features; (iii) The perception and motion networks are fused using an attention mechanism at each feature layer to perform the waypoint prediction. The model was trained and tested using the CARLA simulator and enabled autonomous driving in complex urban environments, achieving a success rate of 74%, especially in the case of multiple dynamic objects.
Generation of continuous-variable high-dimensional entanglement with three degrees of freedom and multiplexing quantum dense coding: publisher’s note

This publisher’s note corrects the authorship in Photon. Res. 10 , 2828 ( 2022 ) PRHEIZ 2327-9125 10.1364/PRJ.469340 .
MTBE adsorption on surface modified adsorbent Kaolin-KOH – A study on Kinetic equilibrium and surface morphology

&lt;p&gt;The purpose of this research was to evaluate the effectiveness of low-cost adsorbents for the removal of MTBE by employing natural kaolin clay with surface modification by KOH. The feasibility of MTBE examination by High Pressure Liquid Chromatography (HPLC) in aqueous solution was investigated. To get rid of impurities, the kaolin clay goes through a beneficiated process. Then, the thermal procedure was carried out at 990°C to prepare the adsorbent. XRD, SEM, and FTIR were used to characterize the geochemical and surface characteristics of the kaolin adsorbent. Basic operation parameters were evaluated in the batch experiment, including beginning MTBE concentrations, pH, contact time, and adsorbent dosage. For three different sized columns that were 12cm, 8cm, and 4cm, respectively, the percentage removal efficiency for MTBE was recorded as 97.79%, 99.08%, and 98.13%. This study demonstrated that the adsorbent's contact time and retention period are crucial for the elimination of MTBE, as demonstrated by the Thomas model and Thomson model with R2 values of 97.81, 99.21, and 98.36.&lt;/p&gt;&#x0D;
Regression analysis of logistic model with latent variables

We propose a joint modeling approach to investigating the effects of social‐psychological factors on the onset of depression. The proposed model comprises two components. The first one is a confirmatory factor analysis model that summarizes latent factors through multiple correlated observed variables. The second one is a logistic regression model that investigates the effects of observed and latent influence factors on the occurrence of depression. We develop a hybrid procedure based on the borrow‐strength estimation procedure and the weighted score function to estimate the model parameters. The asymptotic properties of the proposed estimators are established. Simulation studies demonstrate that the method we proposed performs well. An application to a study concerning the social‐psychological factors of depression is provided.
FLOMD: Fast and Low Overhead Memory Deduplication for Edge Nodes

Edge computing has become an indispensable architecture to provide real-time services for massive number of IoT devices and 5G platforms. To ease the effort of deploying and managing various applications on edge nodes, people usually pack their applications in containers for edge environment. However, the smooth execution of large amount of containers simultaneously on the nodes with limited computing resources remains a challenge. In this paper, we investigated the memory deduplication technology to relieve the memory pressure on edge nodes. The major difficulty is to quickly discover and merge duplicated memory pages with less CPU consumption. Based on the observed properties of memory usages for containers, we proposed a memory deduplication algorithm, called FLOMD (Fast and Low Overhead Memory Deduplication), which is based on KSM (Kernel Same-page Merging) with four novel techniques: zero page collection, search tree optimization, volatile page identification, and scanning velocity adjustment. Experiments are conducted to compare the sharing efficiency of KSM, UKSM, and FLOMD on edge nodes with various workloads. The results show that the sharing efficiency of FLOMD is more than two times higher than that of others in average.
Diamond-bearing lithosphere of the Siberian platform (based on geophysical data). Tectonic zonation

In the first part of the article, we show structural relationships of prospective areas and perform tectonic zonation of the Siberian Platform (SP) using potential fields, application of the structural method, fractal analysis and multidimensional statistical methods. The formal classification of the trend components of the prospective areas of the SP into 7 taxa made it possible to establish on a quantitative basis the special status of the Anabar Province (AN), the central part of the SP, as a geological space with signs of minimal tectonic divisibility of the lithosphere. This is essential for the preservation of diamonds and the formation of deposits
Analysis of Communication by Labeled Keeping Ship’s Course Area and Avoiding Target Area

The purpose of this study is to indicate the differences in communication between officer of the watch and cadet in an easy-to-understand manner. In this study, first as raising a question, the analysis communication is important for the prevention of human error and there are differences in the content of communication between the OOW and cadet even if their same process and timing of action, were described. And the experiments for the OOW and cadet were carried out to obtain their communication data and analyze the communication in bridge. In the second place, the difference of communication between them was analyzed by the communication data which were labeled by keeping ship’s course and avoiding target areas. From the result, some differences of them by time of communication and time per minute were shown. In the third, the communication data is partitioned two groups of resource sharing about ship’s position and object using basic model of resource sharing. Also the difference of them were found out as achievement rate of resource sharing visually. Finally, the way of education and evaluation using the finding from analysis of communication were proposed.
DEVELOPMENT OF A FUZZY MODEL OF A STUDENT INTELLIGENT TEACHING SYSTEM OF TECHNICAL DISCIPLINE

The development of computer technology provides great opportunities for modernizing the learning process. Teachers are actively introducing various electronic learning systems, the leading positions among which are occupied by intelligent learning systems. One of the tasks of developing an intelligent learning system is the implementation of dynamic adaptation of educational material to the level of knowledge of students. Therefore, it is necessary that it includes a student model that reflects the characteristics of the student that are important for managing the learning process. The paper describes the development of a fuzzy model of a student in teaching intelligent systems. This model is based on the concept of “student status”, the parameters of which are the level of mastering the discipline and the student’s personal qualities. A distinctive feature of the proposed fuzzy model is the joint use of the stereotypical and overlay models of the student. In addition, the developed fuzzy model is based not only on the assessment of student’s knowledge, but takes into account the personal qualities of students (responsibility, desire for self-learning and development, perseverance, attentiveness, stress tolerance). The paper proposes the use of a fuzzy expert system as a tool for decision support in determining the status of a student. During the operation of the expert system, the characteristics of students are evaluated, which are compared with the rules of the fuzzy rule base. When implementing a logical inference, a student is assigned one of the possible status values (beginner, trainee, master, professional and expert). At the final step, the student is offered to study the theoretical material of the discipline adapted to his characteristics.