Reviewerly/exHarmony huggingface dataset:
Welcome to Semiosistan!

The article proposes a thought experiment, the creation of a nation entirely composed by semioticians, and wonders what characteristics its inhabitants should have. Beyond the formal requirements of a robust engagement with semiotics, the article concludes that the most important value in this fictional country would be the commitment to approach the world through language, instead of violence, and to believe in the possibility to cultivate a reasonable community of interpreters. A country for semioticians, therefore, is not needed, since they should, on the opposite, venture into the world and spread their message of trust in the reasonability that underlies the human capacity for language.
Modified YOLOv5 for Blood Cell Counting

The hematology of the human is important information in diagnosing health related problems and it is widely used in medical field. From the complete blood count (CBC) test, the number of blood cell can be determined, and the shape of them can also be used to predict health complications. Besides the conventional methods, deep learning is being applied to count the number of blood cells including red, white blood cell and platelet. In this study, we proposed a method to count blood cell using modified YOLOvS model, specially by adding Convolution Block Attention Module (CBAM). Experimental results shown that the proposed model CBAM-YOLOvS achieved mAP@0.5 at 0.878 with confidence score of 0.001 and IoU=0.6 when counting all blood cells. In addition, the proposed model using MobileNetv3 as a backbone achieve accuracy 99.0%, 99.7 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">%</sup> and 99.0% in counting red blood cell, white blood cell and platelet, respectively.
Social Bot Detector using Graph Neural Networks

The importance of online social networks (OSNs) has been fueled by the human need for digital communication and broadcasting, as well as the improved state of internet connections and electronic devices. Meanwhile, social bots have been designed to automatically replicate the behavior of legitimate users in order to manipulate these OSNs. As a result, social bot detectors have been conducted concurrently, mostly on Twitter, in an attempt to discover new strategies for countering social bot attacks. In this paper, we propose SOBOG, a deep learning architecture that takes tweet relations, tweet semantics, and user properties into account to perform account-level and tweet-level detection. SOBOG also achieves outstanding performance on both tasks.
The Effect of Metacognition and Digital Literacy on Learning Satisfaction of College Students : Focusing on the Mediating Effect of Shared Spirit

This study verifies the structural relationship between metacognitive, digital literacy and learning satisfaction of college students, and verifies the mediating effect of shared spirit in the relationship between metacognitive, digital literacy, and learning satisfaction. As for the research method, a survey was conducted on 191 university students at H University, and the structural relationship and mediating effect were analyzed using SPSS 23.0 and AMOS 23.0. As a result of the analysis, the research contents of this paper showed a positive correlation between metacognition and digital literacy of college students with shared psychology, and metacognition and digital literacy with learning satisfaction. In addition, the sharing spirit showed a partial mediating effect in the relationship between metacognitive, digital literacy, and learning satisfaction. It is necessary to pay more attention to enhancing related variables in order to improve learning satisfaction by reflecting the research results. It is expected that it can lead to the development and application of teaching methods to improve learners' learning satisfaction.
A Study on Improving Learning Satisfaction Using Edutech Contents for Vulnerable Class Students: Focusing on Self-directed Learning Ability and Parental Support

This study is to investigate the relationship between self-directed learning ability and parental support, which are presumed to be factors that affect the satisfaction of students from disadvantaged classes using Edutech contents. As a result of the first study, there was a statistically significant difference in self-directed learning ability and satisfaction according to school level. Second, the correlations among self-directed learning ability, parental support, and satisfaction were all statistically significant. Third, parental support had a direct and indirect effect on satisfaction through self-directed learning ability. Through this, it was confirmed that the role of parents is acting directly or indirectly when learning using Edutech contents, and that self-directed learning ability has a positive effect.
PENGARUH MEDIA AUDIO VISUAL TERHADAP HASIL BELAJAR KOGNITIF PESERTA DIDIK DI SEKOLAH DASAR

The improvement of cognitive learning outcomes can be influenced by several factors, one of which is the use of audio-visual media. This study aims to determine the differences in cognitive learning outcomes of students who are subject to the use of audio-visual media and students who are not subject to the use of audio-visual media, as well as to determine the influence of the use of audio-visual media on improving cognitive learning outcomes of students. This research is a Quasi-Experimental study. This research was carried out at SD Pertiwi in grade IV with a population of 66 students. The sampling technique used is a nonequivalent control group design with class IV A (control class) as many as 25 students and class IV B (experimental class) as many as 25 students. The data collection technique used is a test. The tests used are in the form of pretests and posttests to take data on cognitive learning outcomes. Data management techniques are carried out using normality tests, homogeneity tests, independent sample t test, and simple linear regression test. The results of this study show that: 1) There are differences in cognitive learning outcomes between students who use audio-visual media and students who do not use audio visual media based on the results of the independent sample t test obtained a Sig. value (2-tailed) of 0.226 &gt; 0.05. 2) There was a significant influence of the use of audio-visual media on improving the cognitive learning outcomes of students based on the results of the simple linear regression test obtained a calculated t value of 2.432 &gt; t table 2.069 which means that Ho was rejected and H???? was accepted.
PENGARUH REWARD TERHADAP MOTIVASI BELAJAR ANAK USIA DINI KELOMPOK A DI TK AISYIYAH MINASA UPA

This study aims to determine the effect of reward on learning motivation of group A early childhood in TK Aisyiyah Minasa Upa. Essay. The type of research used in this research is quantitative research with data analysis techniques using a Likert scale. as well as using the method of giving questionnaires, interviews and documentation. The population in this study were 6 children. The results of this study indicate that giving motivation greatly I nfluences the learning process which can be seen that giving rewards in learning activities that create a pleasant atmosphere can encourage children's enthusiasm and motivation. As many as four out of six students chose a score of 4 for each question, namely yes. From this, the authors conclude that more than 50% of the population in group A TK Aisyiyah Minasa Upa has high learning motivation after being given a reward. Based on the index value above, it can be concluded that the index value is included in the medium category where the score is 55.25.
DESIGN OF EXPERT SYSTEM BASED ON CERTAINTY FACTOR ALGORITHM IN DIAGNOSIS OF CHOLESTEROL LEVEL IN ADOLESCENTS

An expert system is a system that seeks to adopt humans to computers. As for experts, this system can be used as an experienced assistant. People are susceptible to cholesterol starting from the age of 20 years. The public submits the cholesterol by consulting a doctor directly. If cholesterol levels are high, people will experience pain such as headaches, chest pain, and numbness in the arms, but this pain is not necessarily a symptom of rising cholesterol levels, it could be a symptom of other diseases such as fever, colds, fatigue. , and others. Cholesterol is a fat found in the bloodstream or body cells that is actually needed for the formation of cell walls and as a raw material for several hormones. Therefore, it is divided into Low Density Lipoprotein (LDL), High Density Lipoprotein (HDL) and Triglycerides. The method used is the Certainty Factor method, which is built using the PHP programming language, and the MYSQL DBMS. Certainty Factor is a measure of certainty to a fact or certainty. The certainty factor determines the size of a thing or certainty. The application of Certainty Factor is expected to make the expert system more accurate. The result of this research is an application that can later be used to assist the public in diagnosing cholesterol levels so that people do not need to go directly to the doctor
Improving McDiarmid Tree Performance for Predicting Heart Disease from Data Streams with Missing and Meaningless Values

Building machine learning algorithms for real-time clinical decision support systems has become a current research hotspot. The success of these algorithms depends on their ability to handle data stream characteristics. For example, we cite as characteristics the large amounts of data, the high speed and rate of incoming data, and the change in data nature and distribution over time. The Very Fast Decision Tree (VFDT) is a method for incrementally building decision trees. Since its proposition in the literature, it has become one of the most popular tools for data stream classification. This paper aims to optimize a new version of VFDT called McDiarmid Tree (MT) for the early prediction of heart diseases in real-time clinical decision support systems. The proposed method for improving MT performance consists of two main mechanisms: detecting the presence of missing and meaningless values in data attributes and handling the impact of this presence. The proposed MT has been compared with MT and VFDT. Simulation results show that the proposed MT attains significantly higher prediction accuracy with less time and model cost (RAM-Hours) than the other two algorithms.
The Birth of ‘Type of humanities person’ and ‘Type of STEM person’: A Study on the Social Constructionof Human Type

이 연구는 우리 사회 문화 안에서 암묵적으로 공유된 ‘문과형 인간’과 ‘이과형 인간’이라는 개념이 만들어지게 된 기작과 이 개념이 우리 문화 안에서 넓고 견고하게 자리잡게 된 맥락을 이해하기 위하여, 관련된 개념들을 이론적으로 고찰하고자 했다. 이를 위해 이 연구에서는 먼저 교육 제도적 측면에서 ‘문과’와 ‘이과’라는 제도적 역사와 다양성에 대해 고찰하였다. 둘째, 이 연구에서는 과학철학자 Ian Hacking(2007)의 ‘만들어진 사람’과 ‘루핑 효과’라는 개념을 중심으로 ‘문과형 인간’과 ‘이과형 인간’이라는 사람의 유형이 구성되는 맥락에 대해 해석했다. 셋째, ‘문과형 인간’과 ‘이과형 인간’ 집단을 상호 구별짓는 현상을 이해하기 위해 유형론적 사고와 본질주의적 인식(essentialism) 등 일부 사회심리적 특성을 중심으로 해석하고자 했다. 마지막으로 ‘문과형 인간’과 ‘이과형 인간’ 사이의 타자화와 혐오의 문제에 대해 논의하였다. 이 연구는 향후 문과와 이과를 양분해서 바라보는 한국의 교육문화를 이해하는데 유의미한 시사점을 줄 것으로 기대된다.This study aims to understand the context by which the concepts of “type of humanities person” and ”type of STEM person,” were made, and broadly and firmly established in Korean culture. To be specific, this study first reviewed the institutional division of ”humanities” and ”STEM” in terms of the educational system. Second, we reviewed the concepts of ”making up people” and the ”looping effect” suggested by Ian Hacking (2007) for understanding the construction of the ”type of humanities person” and ”type of STEM person.” Third, we discussed the problem of differentiating the two types of person focusing on some socio-psychological concepts such as typological thinking and psychological essentialism. Last, the problem of othering and aversion between the two types of persons was discussed. This study provides meaningful implications for understanding the Korean educational-cultural phenomenon that usually divides people into ”humanities” and ”STEM.”
Functional Collapse in Social Experiment

The article analyzes the current state and prospects of the philosophical and methodological issue of the cognitive functions of the social experiment as a method of social research. It seems that it can be justifiably argued that com­prehension of the centuries-old experience of conducting socio-economic, socio-psychological, socio-pedagogical and socio-administrative experiments leads to a sad conclusion about the scientific unreliability of their results. A significant part of the experiments contain signs of bias, the manipulation of researchers with their subjects and methodological tools in order to obtain deliberately planned or preferred results. In cases of complete scientific conscientiousness and correctness of the experiment, it is almost never possible to repeat it, re­produce it in order to verify, supplement and clarify its data, because neither the subjectivity of the researcher and the subjects, nor the sociocultural conditions and circumstances of the experimental action can be reproduced. Thus, it turns out that social experimentation did not lead to the replenishment of the array of social knowledge, leaving only individual cases, variably interpreted data, that it only participated in the verification and substantiation of significant hypothe­ses and theories as an auxiliary tool. The degree of freedom of social behavior does not allow one to hope to obtain reliable knowledge through experimental work with social individuals and groups, but, on the other hand, social experi­mentation is increasingly manifesting itself as a useful intermediate social prac­tice, as a technology for measuring the acceptability of specific innovations in a particular society. It is suggested that it would be useful to reconsider the methodological and philosophical and scientific understanding of the mean­ing and tasks (functions) of the social experiment.
Recognizing the Contribution of Data: The Use of Companion Articles To Highlight Novel Resources in Microbiology Research

As part of society-wide efforts to promote open access in science, the American Society for Microbiology journals are piloting the publication of companion articles highlighting rigorous data resources. The simultaneous publication of original research and data resource articles will increase awareness of, and access to, verified data sets that are critical to scientific progress. Companion articles in Microbiology Resource Announcements and two research journals, mSystems and Applied and Environmental Microbiology, will serve as an initial experiment to promote open and reproducible science.
A Case Study on Use of Blockchain Technology as a Dominant Feature to Issue and Verify Documents Required for Admission to UG/PG Technical Programs in Maharashtra (India)

Paper-based documents are required at the time of admission to UG/PG programs in Maharashtra. Candidates are eligible for admission if they are fulfilling all eligibility criteria and possess all the required documents. These documents are verified by the verification officer at prescribed centers. This manual verification of documents is error-prone. Also, the candidate may not have all the required documents atthe time of admission because of the delay in issuing those documents from concerned authorities of the government. Documents in physical form are also prone to manipulation and are vulnerable to fraud. There are industries and institutes that are working on a blockchain-based solution to issue the certificates, but there are many other documents that are required for the admission such as SSC and HSC certificates, Domicile and Nationality Certificates, Caste related certificates, and other proformas and certificates as applicable. Many times, candidates are not able to produce these documents on time and also these documents are vulnerable to fraud. The framework proposed in this study addresses the challenges related to issuing of the documents by government and education-institute authorities; availability of documents with candidates; and verification of the documents by admission-related authorities. Blockchain provides a secure and reliable way for saving data, running transactions, performing activities, and trust-building. For many, Blockchain is a thoroughgoing technology in the crypto domain, its applications range from Banking, Supply Chain Management, Cryptocurrency, Governance, etc. Publications by industries and scholars, website resources, and UG/PG admission brochures by DTE are utilized to develop this study.
Structural Relationships among Digital Competence, Self-Efficacy and Income of Middle-aged and Elderly

The purpose of this study is to analyze the structural relationship between digital competence and self-efficacy and income of middle-aged and older adults. For this, a structural equation model was used with digital competency (PC/mobile) as the input variable, household income as the dependent variable, and self-efficacy as the parameter. The data used for the analysis are from the survey result of “2018 Digital Information Divide Actual Condition Survey” by the National Information Society Angency. As a result of the study, PC, mobile and the two combined digital competency all had a positive effect on increasing the income, and digital competency had a positive effect on increasing self-efficacy in digital use.
Synthetic Biology and Civil Responsibility

This paper deals with issues related to the concept and characteristics of synthetic biology(engineering biology), its usefulness and risks, the regulation and management of risks, and the relief of damages caused by the manifestation of risks. In particular, civil liability issues that may arise in the course of synthetic biology research and its industrialization were reviewed.&#x0D; Due to the nature of synthetic biology, it is realistically impossible to prevent all damages incurred in the process even if the operator of the technology fulfills the duty of care in operation. Damage relief through the application of the general illegal liability provisions and the Product Liability Act based on the principle of negligence liability cannot be an effective means due to the difficulty of proof, the limited scope of application, and the possibility of exemption through defense of development risks. It may also be considered to reduce the victim's burden of proof through interpretative theories such as presumption of negligence and shifting the burden of proof.&#x0D; However, in the field of high-level science and technology, it can harm legal stability because there are considerable difficulties in proving fault and making judgments.&#x0D; Damages caused by risks inherent in synthetic biology technology should be compensated through laws of risk liability. In the course of research and technical operation of synthetic biology, a person who controls and manages a risk source (Gefahrquelle) is liable for damages even if he or she is not at fault in the event that the risk materializes and infringes on the legal interests of others, which is consistent with the idea of fairness. Due to the nature of synthetic biology and genetic engineering, unlike product liability, the defense of development risk is excluded, but the assumption of causal relationship must be acknowledged. Regarding the establishment of the maximum amount of liability, considering the structure of the Damages Compensation Act, which takes the principle of limited compensation, it is judged that it is right not to limit it.&#x0D; No legislation has been enacted on risk management and regulation related to synthetic biology. In the LMO Act, there is no provision for liability for damages. Right now, it can be said that it is realistic to establish new regulations in the LMO. In addition to enhancing global industrial competitiveness through the use of synthetic biology technology, it is also a challenge to respond to legislation related to risk management, regulation, and damage relief.
A Study on Kim Maria’s Leadership and Thoughts Analyzing Her Life: Focusing on Her Composition and Operation of Organizations

본 논문은 김마리아(1892-1944)의 생애 동안 그녀가 관계한 조직 및 기관의 발전을 통해 드러난 리더십과 남겨진 자신의 글들을 통해 그녀의 리더십의 기초가 된 사상을 분석했다. 김마리아는 개신교 독립운동가 집안에서 태어나서 자란 ‘신여성’으로 대한의 독립과 여성교육을 위해 평생을 헌신한 지도자였다. 김마리아는 언제나 한국 여성들의 모임을 주도 혹은 조직하여 발전시킨 것을 확인할 수 있는데, 이 글에서는 동경여자유학생친목회, 대한민국애국부인회, 근화회, 장로회여전도회연합대회를 집중하여 살펴보았다. 이를 통해 김마리아의 리더십은 개인적 출세와 권력 추구와는 거리를 두고 오직 여성들의 실력양성과 협력, 연대를 통한 조국 독립을 위한 지도력이었다. 구체적으로 언행일치, 협동, 솔선수범과 겸손의 리더십으로 확인했다. 김마리아의 이 리더십은 기독교 신앙의 자기희생적 사랑, 단결과 협동, 자유와 평등에 기초하고 있음을 밝혔다. 한편 (1) 김마리아가 쓴 글들의 집대성, (2) 직접 교제한 선교사들 및 캐나다 선교부와의 관계 등에 대한 연구는 과제로 남아있다. This paper analyzed the leadership of Maria Kim (金瑪利亞, 1892-1944) revealed through the development of the organizations or institutions she was involved in during her whole life, and her thoughts underlying the leadership through her writings left behind. Born and raised in a family of Protestant independence activists, Maria Kim was a “new woman” who devoted her life to the independence of Korea and education for women. It can be seen that Maria Kim always led or organized Korean women’s groups. In this article, I focused especially on the Korean Women’s International Student Society in Tokyo, the Korean Women’s Patriotic Club, Geunhwa (national flower) Association, and the National Organization of the Presbyterian Women. Through this, it concluded that Maria Kim’s leadership was a leadership for the independence of Korea by developing women’s ability, cooperation, and solidarity, far from personal success and power-pursuit. Specifically, it was confirmed that her leadership was the leadership of consistency between word and action, solidarity and cooperation, initiative, and humility based on the self-sacrificing love of Christian faith, unity and solidarity, freedom and equality. On the other hand, tasks required for further studies on Maria Kim are that (1) her writings should be collected and (2) to investigate the relationship between Maria Kim and missionaries who had directly engaged with her, and the Mission Board of Canadian Churches.
Behind the Scenes: Density Fields for Single View Reconstruction

Inferring a meaningful geometric scene representation from a single image is a fundamental problem in computer vision. Approaches based on traditional depth map prediction can only reason about areas that are visible in the image. Currently, neural radiance fields (NeRFs) can capture true 3D including color, but are too complex to be generated from a single image. As an alternative, we propose to predict implicit density fields. A density field maps every location in the frustum of the input image to volumetric density. By directly sampling color from the available views instead of storing color in the density field, our scene representation becomes significantly less complex compared to NeRFs, and a neural network can predict it in a single forward pass. The prediction network is trained through self-supervision from only video data. Our formulation allows volume rendering to perform both depth prediction and novel view synthesis. Through experiments, we show that our method is able to predict meaningful geometry for regions that are occluded in the input image. Additionally, we demonstrate the potential of our approach on three datasets for depth prediction and novel-view synthesis.