Reviewerly/exHarmony huggingface dataset:
Diagnosis of breast cancer based on logical regression and random forest algorithms

Currently, breast cancer possesses a dominate position among all kinds of cancers. Besides, it is also the major cause of the cancer-related death in China. Considering the existence of various cancer types, it is hard to be accurately diagnosed. After early diagnosis and treatment, the 5-year survival rate of female breast cancer reached 97%. Although early diagnosis is curable, about one third of female breast cancer patients still die of the disease. However, despite early detection and selection of new treatment methods, as many as 50% of women will still have metastasis. At present, as the cause of breast cancer has not been determined, accurate early detection is crucial to reduce mortality. This paper aims to leverage machine learning methods for achieving accurate cancer diagnosis. This paper explains the principal knowledge of logistic regression in detail, and classifies the data set by combining the logistic regression and random forest. It is a binary classification problem, which annotations are made up of malignant and benign. It can be well applied to the logical regression model. The classification results are more than 90% accurate, so machine learning-based solutions have broad application prospects and can produce certain value.
An overview of cloud storage data auditing schemes

With the rapid growth of the internet today, cloud storage services have had an impact on numerous internet users worldwide. Internet users, in order to avoid potential risk of data loss, can outsource their local data to remote cloud servers instead of using local media. However, this kind of cloud storage services is sometimes unreliable enough and the data security of users cannot be guaranteed. In this case, data auditing mechanisms for cloud storage are studied to avoid the destruction of user data. The traditional audit schemes are based on provable data possession mechanisms, while the third-party organization relies on the recent blockchain-based methods, conventional single-cloud storage system and recently emerging multi-cloud storage models. Some audit schemes not only provide auditing capability, but also have some other ancillary functions to ensure applicability for different potential malevolent situations. Gathered correlated studies about data auditing schemes of cloud service are analyzed and classified in this paper, based on research objects and research methods in order to seek probable innovation points. We also analyze experiments in their papers. Toward the finish of this review, we sum up all the examination, list the bearings not investigated, and give a few creative spots.
Ethnic minorities' mentality and homosexuality psychology in literature: A text emotion analysis with NRC lexicon

As a significant subfield of natural language processing (NLP), text emotion analysis has been extensively researched and applied in various domains, such as media, education, and medicine. It has shown significant results in annotating blog posts that rely on an extensive corpus of short phrases. However, in interdisciplinary fields like literary pragmatics, character emotion analysis in literature becomes crucial. Despite the importance of this topic, there are fewer studies, especially for niche subjects such as ethnic minorities' mentality and homosexuality psychology. This paper examines the effectiveness of the widely used lexicon National Research Council of Canada (NRC) in detecting metaphorical words in the famous homosexual novel Maurice. To increase the accuracy of the test, we classified and cleaned the stop words using the Natural Language Toolkit (NLTK) before the analysis step. Our results indicate that the lexicon is able to demonstrate reasonable emotional changes in the story.
EDUKASI GIZI MELALUI MEDIA BROSUR DAPAT MENINGKATKAN PENGETAHUAN SISWA SEKOLAH DASAR

Nutrition education is very useful for increasing the nutritional knowledge of school children in building a positive attitude towards food as an effort to form good eating habits. The purpose of this study was to determine the effect of nutrition education using brochures on changes in knowledge about breakfast in elementary school children. This type of research is a one group pre and post test design at MI DDI Ujung Lare Parepare. The research sample took the entire population of all students in grades IV and V. Nutritional knowledge was collected by filling out questionnaires which were distributed directly. Statistical tests were carried out using the Wilcoxon test. The results showed that most of the class samples were in category IV 60%, gender was in the male category 57.5%, father's occupation was in the other category 32.5%, mother's work was in the PNS/TNI/Polri category 35%. The level of knowledge of the sample before being given education was in the category of good knowledge, 67.5%. An example of the level of knowledge after being given education with a good knowledge category is 100%. Statistical analysis using the Wilcoxon test showed that there was a difference in the score of nutritional knowledge before and after providing education through brochures about breakfast (p = 0.001). The media brochure acceptance rate of 82.5% really liked the brochure. Suggestions for further research are expected to use other media in accordance with technological developments so that it further supports the subject's interest in studying the information presented. This research needs to be studied further apart from measuring the level of knowledge, nutrition education should be carried out continuously and sustainably.
Features of Leadership Competence of Students, Learning Helping Professions

The rationale for the relevance of studying leadership competence in future representatives of helping professions is presented, as well as the results of a comparative study of various components of leadership competence in three groups of students mastering different helping professions (psychologists, doctors, social workers). It has been proven that a feature of the leadership competence of future social workers is the development of the behavioral component. A feature of the leadership competence of psychology and medical students is their high assessment of their leadership abilities, which often does not correspond to the real state of affairs. Students of all three directions have an insufficiently developed individual-personal component of leadership competence: there is no pronounced expression of extraversion and spontaneity, little desire for self-affirmation, leadership, and relaxed behavior.
Study of the Influence of Pipeline Sediment on Drainage Capacity Based on SWMM and GSC Coefficients

Urban drainage network is the infrastructure of urban construction, providing the function of discharging rainwater and sewage. With pipeline deposits, the overflow capacity of pipes can be reduced, while the burden on the pipes themselves increases, leading to sewage overflow and deteriorate the water environment. In order to improve the efficiency of the dredging work, the local Government requires the use of computer models to assist in the work. The SWMM (Storm Water Management Model) is deployed to simulate the sediment scour model, using NSE and GSC coefficients to assess the current level of pipe siltation at all levels, so as to refine the pipes that need to be dredged, thus, the current work is based on the SWMM.
Supererogation and Its Conceptual Neighborhood Through a DWE Lens

I first provide an accessible overview of the DWE (Doing Well Enough) logical and semantic framework for representing going beyond the call and its family of kindred concepts in a tightly intergraded way. Next, a module, for representing some basic agent-evaluative notions is developed (“AA” for “Aretaic Assessment”), and then it is integrated with the more act-evaluative notions of DWE, thereby allowing for a representation of suberogation and supererogation (as distinct from going beyond the call) and many other combined deontic and agent-evaluative notions. I then probe more deeply into how the semantic structures for the DWE framework might themselves be generated and then offer some brief reflections on the classic supererogation puzzle, as well as that of supererogatory holes and the all or nothing problem, framing options via the preceding reflections.
Emotion Classification in Indonesian Language: A CNN Approach with Hyperband Tuning

In today's world, there is a high demand for accurate techniques to classify emotions in various fields. This study proposed utilizing a Convolutional Neural Network (CNN) optimized with a Hyperband Tuner (HT) to perform the Emotion Classification task in the Indonesian language effectively. Various feature extraction techniques experiments were conducted to explore the best combinations of feature extraction and CNN for the data set, including CountVectorizer (CV), TF-IDF, and Keras Tokenizer (KT). Last, the proposed methodology was evaluated and compared to the stateof-the-art techniques, including K-Nearest Neighbors (KNN), Decision Tree (DT), Naive Bayes (NB), and Boosting SVM. The experimental results revealed that the proposed method in this research outperforms the existing technique as evidenced by the accuracy, precision, recall, and F1-score metrics, which respectively reached 71.5655%, 71.5483%, 71.5655%, and 71.0041%.
Prediction and Analysis of Global Temperature Based on BP and ELMAN Neural Networks

In order to explore the global climate evolution and change patterns, this article uses global temperature data from 1881 to 2020 for nearly 140 years, and based on the global temperature zone division model, constructs BP neural network and ELMAN neural network prediction models to analyze the spatiotemporal evolution trend of global temperature historical data. It is found that the average temperature in the northern and southern hemispheres began to significantly increase around 1950; based on the above model, it is predicted that the global annual average temperature will reach its peak around 2050 and continue to maintain around 16.6433℃ for the next fifty years.
A Face Recognition Method Using ResNet34 and RetinaFace

A new face recognition method is proposed by utilizing ResNet34 and RetinaFace, which is based on a lightweight framework for Python named Deepface. The new method is used to improve two shortcomings in the related literature: (1) the susceptibility of face recognition to interference, and (2) the quite limited number of faces detected in an image. First, the RetinaFace detector is used to replace the common detector to get more facial feature points and expand the area for detecting faces. Thus, the number of faces detected in the same image is increased. Then, ResNet34 model is applied to replace the default model in Deepface to improve the anti-interference in face recognition. Finally, experiments demonstrate that the new method is superior to the default one.
A Study on the Development of Educational Smart App. for Home Economics Classes(1st): Focusing on ‘Clothing Preparation Planning and Selection’

본 연구의 목적은‘의복마련과 선택’단원 중 의복마련 부분의 교수-학습내용 일부를 재구성하여 수업적용을 위한 교육용 스마트 앱을 개발하는 것이다. 스마트 앱을 개발하여 구동하는 것을 위해 수업을 위한 교수-학습과정 계획을 하였고, 수업적용을 위한 스마트 앱을 개발하였으며, 개발된 앱에 대해 가정과교사와 앱 개발전문가의 피드백을 받았다. 개발된 앱의 메인 구성은 총 5단계로 구성되었다. 1단계는 프로필 설정단계로 실제사진이나 제페토 혹은 갤럭시의 이모지, 아이폰의 미모티콘을 이용해 프로필을 설정한다. 2단계에서는 스스로 옷장 정리를 통해 현재 가지고 있는 의복의 종류와 수량 및 상태 등을 파악하여 의복 목록표를 작성한다. 현재 가지고 있는 의복에 개별적 등록번호를 부여하며, 앞⋅뒤를 촬영하고 그 외 아이템 종류⋅색상⋅계절감⋅구매 시기⋅현재 상태 등을 기재할 수 있다. 3단계는 마련할 의복과 폐기할 의복을 결정하기이다. 전 단계의 의복목록표를 바탕으로 마련해야 할 의복과 폐기할 의복을 분류하는 과정을 갖는다. 4단계 의복 마련 방법 결정하기에서는 대안 평가표를 작성하여 의복 마련 방법을 결정한다. 이 과정을 통해 추후 학습하게 될 자원관리와 자립 영역의 소단원 ‘합리적인 소비생활의 실천’을 선행학습 할 수 있다. 마지막으로 5단계 폐기 방법 결정하기에서는 3단계에서 분류했던 폐기할 의복을 어떤 방법으로 폐기할 것인지에 대해 실천적 문제 중심 수업을 전개하며 다양한 방안을 모색해보고, 모둠별 토의를 통해 의견을 공유하고 실천하는 최종적 단계이다. 본 연구는 성취기준에 부합하는 교안 및 교육내용을 수업에 적용하기 위해 교육용 스마트 앱을 수업자가 직접 개발한 시도로서의 사례연구에 의의가 있다고 하겠으며 앞으로 사용자 적용을 통한 실제적인 수업에의 효과성 검증을 통해 업그레이드가 이루어져야할 것이다. The purpose of this study was to develop an educational smart app for classes by reconstructing some of the teaching-learning contents of the clothing preparation planning within the ‘clothing preparation planning and selection’ curriculum unit. To this end, a teaching-learning process plan was planned for the classes, a smart app was developed for classes, and feedback from home economics teachers and app development experts was received for the developed app. The main composition of the developed app consists of five steps. The first step is to set up a profile using a real photo, ZEPETO or Galaxy emoji, or iPhone Memoji. In the second step, students make a list of clothes by figuring out the types, quantities and conditions of their exisitng wardrobe items. Each piece of clothing is assigned an individual registration number, and stduents can take pictures of the front and back, along with describing key attributes such as type, color, season-appropriateness, purchase date, and current status. Step three guides students in deciding which garments to retain and which to discard. Building on the clothing inventory from the previous step, students classify items to keep and items to dispose of. In Step 4, Deciding How to Arrange Clothing, students decide how to arrange clothing by filling out an alternative scorecard. Through this process, students can learn in advance the subsection of resource management and self-reliance, laying the foundationa for future learning in ‘Practice of Rational Consumption Life’. Lastly, in the fifth stage of determining the disposal method, this stage is to develop practical problem-oriented classes on how to dispose of the clothes to be discarded in the thirrd stage by exploring various disposal methods, engaging in group discussions, and sharing opinions. This study is meaningful as a case study as an attempt to develop a smart app for education by an instructor to align teaching plans and educational content with achievement standards for the class. In the future, upgrades will have to be made through user application.
IDEOLOGY IN INDONESIAN POLITICAL PARTY ANTHEMS: A STYLISTIC ANALYSIS AT THE LEXICOGRAMMATICAL LEVEL

Political parties are a forum for Indonesian people from various ideological backgrounds as channels for the aspirations of a pluralistic society. The party's ideology is embodied in the vision and mission that the party aspires to when domination is obtained after the General Election is held. In this research, the anthem lyrics of the top three political parties, based on the 2019 legislative elections, were taken as the data and studied through a stylistic approach at the lexicogrammatical level to figure out the ideology in the realization of the vision and mission of the political parties. The method of the analysis applied descriptive qualitative through transitivity analysis in order to reveal the lexical and grammatical construction in the lyric. The typical processes used in each anthem characterized the cognitive frame of how the political parties set their vision and orientation towards the nation goals. It was found that the use of stylistic devices came in low frequency, including epizeuxis, parallelism, imagery, metaphor, symbolism, asyndeton and anaphora. The construction of clauses in the anthem lyrics has a significant impact in expressing the goals of political parties ideologically, so that the results of this study are expected to be an alternative reference that provides a paradigm for the voting community during the election period
Research on the Development and Application of Home Economics Education Class Modules for Convergence Education

이 연구의 목적은 가정교재연구및지도법 교과목과 그에 대한 교수법, 그리고 중국어교재연구및지도법 교과목과 그에 대한교수법을 중심으로 융복합 교과목 모델을 개발하고 적용하는 것이다. 이 연구는 예비 교사들이 미래의 교육 현장에서 다양한 교육 문제를 효과적으로 해결할 수 있도록 준비시키기 위한 틀을 제공하고자 하였다. 이러한 목표를 달성하기 위해, Fogarty의 Connected Model을 활용하여, 융복합 교육과정이 학생들 사이에서 협력적이고 다양한 사고를 촉진하는 영향을 탐구하였다. 연구 결과에서는 이 모델이 교과목 수강생의 융복합 소양을 향상시켰으며, 교과목 및 전공에 관한 지식 전달을 넘어 교육 공동체를 형성하는 데 필요한 역량을 키우고, 수업에 대한 만족도도 높이는 것으로 나타났다. 또한, 이 연구는 학습자 중심의 전략, 협동 학습, 그리고 다양한 평가 메커니즘의 중요성을 입증하였다. 이러한 융복합 교과목 모델은 예비 교사 교육을 혁신할 뿐만 아니라 현장 교육에도 적용될 수 있어, 더 넓은 범위의 교육 문제 해결에 기여할 수 있을 것으로 예상된다.The purpose of this study is to develop and implement an integrated course model that centers around the subject of Home Economics Education Curriculum and Teaching Methods and its pedagogical approaches, as well as the subject of Chinese Language and Literature Curriculum and Teaching Methods and its pedagogical methods. This study aims to provide a framework to prepare pre-service teachers to effectively address a variety of educational issues in future educational settings. To achieve these objectives, the study utilizes Fogarty's connected model as a guiding framework to explore the impact of the integrated curriculum on fostering collaborative and divergent thinking among students. The findings of this research confirm that this model not only cultivates interdisciplinary competencies among course participants but also goes beyond the mere transmission of knowledge to build the capacities needed for forming an educational community, thereby increasing course satisfaction. Additionally, the study substantiates the importance of learner-centered strategies, cooperative learning, and diverse evaluation mechanisms. Such an integrated course model has the potential to revolutionize not only pre-service teacher education but also to be applicable in in-service teacher training, thus contributing to solving a broader range of educational issues.
A Study on the Awareness Survey on the Treatment of Social Welfare Workers: Focusing on Jeollabuk-do

In this study, as the demand for social welfare services increases, the number of social welfare workers is increasing in quantity, and the poor treatment of social welfare workers is continuously pointed out. Accordingly, the purpose of this study is to establish basic data and set policy directions for improving treatment through a survey on the perception of treatment of social welfare workers. As a result of the study, 55.2% of respondents were not satisfied with the level of remuneration compared to the intensity of work, and 61.1% of respondents were not satisfied with the level of satisfaction compared to workers in similar occupations. In addition, to improve the remuneration system, compliance with the government's remuneration guidelines, overtime work allowance, and the introduction of the child school expenses system were found to be high. As a policy measure for this, a single wage system should be introduced to improve the remuneration of social welfare workers, and support for welfare programs should be expanded. In addition, unification of policies is required to improve the treatment of social welfare workers, and expansion of emotional support programs is required to restore trust among social welfare workers.
INTRODUCTION OF DEVICES AND ASSEMBLING COMPUTERS TO STUDENTS

SMK Swasta Methodist Tanjung Morawa is a private school under the auspices of the Kasih Imanuel Indonesia Methodist Foundation, which was established in 2008. SMK Swasta Methodist Tanjung Morawa has various majors, one of which is Network and Computer Engineering (TKJ). Assembling computer equipment is one of the subjects that can help students become more familiar with computer equipment and know how to fix it and of course this lesson is already a lesson that is in accordance with the majors of SMK Swasta Methodist Tanjung Morawa students, namely Computer Network Engineering (TKJ). The students have studied theoretically related to assembling computer equipment, therefore, the Faculty of Informatics, Universitas Mikroskil offers activities in the form of training in assembling computer equipment to improve students' ability to have good knowledge in computer equipment and how to assemble it. This training activity lasted for 2 days and was carried out in the accounting laboratory at Universitas Mikroskil. During this training activity the students were given pre-test questions, materials and case studies, post-tests and final feedback.
Development Plan for Customized Welfare Policy of Korean Autonomous Police

In the case of police officers, with the full implementation of the self-governing police system, welfare points are paid to public officials in charge of autonomous police duties at the level of customized welfare points paid to public officials in each city and province, and appropriate welfare benefits are selected according to the preferences and needs of each employee. In order to boost morale, such as improving the welfare and treatment of police field workers, each provincial and provincial autonomous police committee is implementing customized welfare support for local police. In the case of police officers, it is difficult to say that proper benefits are being given to police officers who have special characteristics in their work that are different from general public officials. In this regard, this study suggested short- to mid- to long-term development plans for the following customized welfare support for public officials performing autonomous police affairs. First, as a short-term plan, measures such as support for overseas travel expenses, improvement of working environment, education support, and dispatch of resident police officers are needed. As a mid- to long-term development plan for customized welfare support, expansion of the scope of payment, development of welfare options based on the specificity of the autonomous police work, vitalization of linkage with welfare point-related organizations, promotion, and welfare system based on the specificity of the autonomous police job establishment is required.
Embedding Ontologies in the Description Logic ALC by Axis-Aligned Cones

This paper is concerned with knowledge graph embedding with background knowledge, taking the formal perspective of logics. In knowledge graph embedding, knowledge— expressed as a set of triples of the form (a R b) (“a is R-related to b”)—is embedded into a real-valued vector space. The embedding helps exploiting geometrical regularities of the space in order to tackle typical inductive tasks of machine learning such as link prediction. Recent embedding approaches also consider incorporating background knowledge, in which the intended meanings of the symbols a, R, b are further constrained via axioms of a theory. Of particular interest are theories expressed in a formal language with a neat semantics and a good balance between expressivity and feasibility. In that case, the knowledge graph together with the background can be considered to be an ontology. This paper develops a cone-based theory for embedding in order to advance the expressivity of the ontology: it works (at least) with ontologies expressed in the description logic ALC, which comprises restricted existential and universal quantifiers, as well as concept negation and concept disjunction. In order to align the classical Tarskian Style semantics for ALC with the sub-symbolic representation of triples, we use the notion of a geometric model of an ALC ontology and show, as one of our main results, that an ALC ontology is satisfiable in the classical sense iff it is satisfiable by a geometric model based on cones. The geometric model, if treated as a partial model, can even be chosen to be faithful, i.e., to reflect all and only the knowledge captured by the ontology. We introduce the class of axis-aligned cones and show that modulo simple geometric operations any distributive logic (such as ALC) interpreted over cones employs this class of cones. Cones are also attractive from a machine learning perspective on knowledge graph embeddings since they give rise to applying conic optimization techniques.