Reviewerly/exHarmony huggingface dataset:
Exploring the Meanings of ‘Community-Based’ within the Context of an Art Subject: Based on the Analysis of the Contents of the National Curriculum

본 연구는 선행연구 분석을 통해 지역사회 연계의 교육적 의의와 가치를 제시하고, 이를 바탕으로 국가 수준 교육과정에서 ‘지역사회 연계’가 어떻게 이루어져 왔는지 살펴보았다. 1차와 2차 교육과정은 경험 중심 교육과정의 영향과 국가·사회적 요구에 따라 사회 재건과 생활 개선을 위해 지역사회 연계를 추구하였던 반면, 7차 교육과정 이후에는 학습자 중심의 교육이 강조되면서 학생의 요구와 수요에 맞는 교육을 실행하기 위해 교육과정의 다양성을 확보하고, 급변하는 사회에 대비하여 교육과정 운영의 유연성과 자율성을 확대하기 위해 지역사회 연계가 강조되었다. 또한 2015개정 교육과정에 도입된 역량 중심 교육과정은 지식의 깊이있는 이해를 위해 맥락적 탐구와 적용을 강조함에 따라 학습의 실제적 맥락을 제공하는 지역사회 연계를 더욱 공고히 하는 계기가 되었다. 미술과 교육과정의 경우, 6차 미술과 교육과정에 DBAE의 영향으로 미학의 개념이 도입됨에 따라 미술과 생활과의 관계를 탐구하는 영역이 개설되었고, 2007개정 교육과정에 시각문화 미술교육 이론이 반영되면서 미술의 범주가 확대되고 삶의 맥락에서의 시각적 이미지에 대한 비판적 탐구가 강조되었다. 이후 사회참여 미술교육의 등장은 학생들이 미술 활동을 통해 지역사회의 문제를 발견하고 해결하는 과정에 참여하도록 유도하는 등 지역 사회와의 연계가 학습의 실제적 맥락 제공의 차원에서 실제적 참여와 실천으로 확대되었다.This study examines the educational significance and value of community linking and analyzes how linking with the community has been promoted in the national level curriculum. As a result, the 1st and 2nd curriculum pursued community connection to improve students' lives and reconstruct the society according to the influence of the experience-centered curriculum and national and social needs, while the 7th curriculum and beyond students-centered education is emphasized, diversification of the curriculum is secured to conduct education that meets the needs and demands of students, and connection with communities is secured to expand flexibility and autonomy of the curriculum to flexibly respond to a rapidly changing society. In addition, the competency-based curriculum in the 2015 revised curriculum emphasized the contextual exploration and application of knowledge for in-depth understanding, which served as an opportunity to further strengthen the connection with the local community that provides the authentic context.In the case of the national art curriculum, the concept of aesthetics was introduced under the influence of DBAE in the 6th curriculum, and as the theory of visual culture and art education was reflected in the 2007 revised curriculum, critical exploration of visual images in the context of life was emphasized. Also, the emergence of socially engaged art education has expanded the connection with the community to actual participation and practice in terms of providing a practical context for learning, such as having students to participate in the process of discovering and solving problems in the community.
A Quantile Regression Analysis of Teaching Methods on Academic Achievement

이 연구는 학교 교육 실태 및 수준 분석 연구 중학교 자료를 활용하여 교수자 중심 수업과 학습자 중심 수업이 학업 성취도에 어떠한 영향을 미치는지 분석하는 데 목적이 있다. 구체적으로 교사의 수업방법이 학생의 성취수준에 따라 차별적으로 미치는 영향을 확인하기 위해 이 연구에서는 분위회귀분석(quantile regression)을 활용하여 모든 학업 성취도 분위에서의 정보를 제공하였다. 분석 결과 교수자 중심의 강의법은 국어, 수학, 영어 성취도의 모든 분위에서 긍정적인 영향을 미치는 것을 확인할 수 있었다. 특히 강의법은 국어와 영어에서 상위수준의 학생들보다 낮은 성취수준의 학생들에게 효과가 더 큰 것으로 나타났다. 반면 학습자 중심의 발견 및 탐구학습은 주로 낮은 성취수준의 학생들에게 부정적인 영향을 미치는 것으로 나타났으며, 토의법은 국어와 영어에서 주로 성취수준 하위학생과 상위학생에게 부정적인 영향을 미치는 것을 확인할 수 있었다. 성취수준별 수업방법의 차별적인 영향력을 검토한 이 연구는 교사의 수업방법을 개선하기 위한 교육적 지원이 확대될 필요가 있다는 점을 논의한다.Using data from the Analysis on the Actual Status and its Level of School Education, this study examined the influence of teacher-centered and learner-centered instruction on students’ academic achievement. Quantile regression was employed to account for the differential effect of teaching methods by achievement levels. The results indicated that teacher-centered lecture style had a positive impact on every quantile of student achievement in every subject. The lecture style was found to be more effective for students with low achievement quantile in Korean and English as for high achieving students. Student-centered discovery and inquiry teaching, however, had a negative impact on academic achievement in general, and for low achieving students in particular. Also, student-centered discussion method had a negative impact on students with low quantile and high quantile achievement in Korean and English. This study, which empirically confirmed the differential effect of teaching methods by achievement levels, discusses the need to expand educational support in order to improve teaching methods for students with different academic performances.
Privatisation of the CDC Tea Estates and Impact on the Population

Purpose: During the Post-colonial period, the Western Powers intervened in African economies in different ways as strategies were put up to guarantee continues influence in Africa. Amongst such policies was the introduction of the Structural Adjustment Programs by the World Bank through the Bretton Woods Institutions which placed privatization as a precondition for giving out loans to developing countries. Following the economic crises that plagued Cameroon in the late 1980s and 1990s, she was pressurised by the Bretton Woods Institutions to privatise State Corporations as a pre-condition to benefit from loans. As a consequence, the Tea Estates of the CDC (Cameroon Development Corporation) was sold to a South African Consortium called Brobon Finex PTY Limited, which ran the tea sector under the name Cameroon Tea Estate (CTE) in 2002. This action bred negative consequences on the workers and the inhabitants of the surrounding areas who had benefitted significantly from the Corporation. The need to ascertain the degree of consequences of privatisation of the Tea Estates to the workers and its environs stimulated this research. All in all, this paper examines why privatisation that was meant to disengage state corporations from public to private ownership with the hope of enforcing efficiency ended up bringing misery and suffering to the people.&#x0D; Methodology: Using information from oral and written sources, and adopting both qualitative and quantitative research methodology,&#x0D; Findings: This paper came out with the findings that privatisation of the Tea Estates ushered in negative consequences on the people.&#x0D; Unique Contribution to Theory, Practice and Policy: The paper makes some recommendations that could be considered in future, when privatising state corporations especially those with direct contact on the population like guideline policies on buyers, creation of monitoring strategies to control the activities of buyers as well as the provision of support facilities to the new beneficiaries.
Breast cancer detection via wavelet energy and feed-forward neural network trained by genetic algorithm

Enhancing the precision of breast cancer detection is the primary objective of this investigation, given its status as the most prevalent cancer among women worldwide. Timely identification of breast cancer can significantly improve the likelihood of successful diagnosis. To achieve this, we propose a innovative way that combines wavelet energy and a feedforward neural network. Our method employs the genetic algorithm and undergoes 20 iterations of 10-fold cross-validation for robustness. Via utilizing wavelet energy as a feature extractor and a feedforward neural network as the classifier, our method outperforms three alternative algorithms.
How Fast-Food Create an Impact on Youth Culture: In Dhanmondi

This study aimed at food without which no human being can live. Food has been a part of our life since the beginning of civilization. However, there have been changes in the taste of food from decade to decade. One of the significant changes that have occurred in the arena of food culture is due to Globalization. Furthermore, it has brought about immense changes in the intervention of fast-food restaurants everywhere in the world. Although, there are some of the factors have shaped the global food chains that emerged as a result of borderless communication and a free market economy. As a consequence, the food chains have given rise to the localization of global food culture. On the other hand, some local chains have emerged by the influence of global food networks. With time, the emergence of these restaurants has changed the pattern of consumption of the youth and the food habit of the whole people of all ages, particularly among youths. Nowadays, the consumption of traditional foods is being replaced by the mass concentration of these restaurants. This study employs a quantitative method that takes purposive sampling to select the population. Data were collected by using the online survey method. A total of 100 samples were collected from the people who consume foods in restaurants. The study results show that the young generation tends to be more influenced by the global food culture. Factors that contribute to their changing behavior patterns of consumption are the internet, social media, T.V., and peer groups. Most youths in Dhanmondi Area mainly tend to look for their favorite meal on different social media sites. The study concludes that how fast food has influenced the youth culture regarding the traditional food consumption by the youths focusing mainly in the Dhanmondi area.
Multi-target distortion correction in 3D shape from polarization using a monocular camera system by deep neural networks

The shape from polarization is a noncontact 3D imaging method that shows great potential, but its application is limited by the monocular camera system and surface integration algorithm. This Letter proposes a novel, to the best of our knowledge, method that employs deep neural networks to enhance multi-target 3D reconstruction, making a significant advancement in the field. By constructing the relationship between targets’ blur, distance, and clarity, the proposed method provides accurate spatial information while mitigating inaccuracies arising from the continuous model. Experiments show that the constructed neural network can help improve the multi-target 3D reconstruction quality compared with conventional methods.
The Effect of Market linkage on Growth of Micro and Small-Scale Enterprises: The Case of Botor Tolay Woreda, Oromia Regional State, Ethiopia

Purpose: The aim of the study was to assess the effect of market linkage on growth of Micro and Small-Scale Enterprises: The Case of Botor Tolay Woreda, Oromia Regional State, Ethiopia.&#x0D; Methodology: The study was adopted descriptive and explanatory research design and Use Both Quantitative and qualitative research approach. The primary and secondary data was used, the primary data was collected by using questionnaires and interviews. Since the total 369 MSE operators from 2010-2015 EC, 192 sample size were selected using stratified and simple random technique with Yemane Formula. The collected data was analyzed by using descriptive and inferential statistics. To ensure the relationship between independent and dependent variables the Pearson correlation and multiple linear regression was applied. The data was analyzed by using Statistical package for Social Science (SPSS) version 25. The study Result was presented through the using of table and figures.&#x0D; Finding: The study focuses on the seven major factors that affect the growth of MSE that were Access to Market Information, Access to finance, Government support, Infrastructure, Entrepreneurial competency, Social Network, and types of business sectors. The findings of correlation and regression show that there was a positive and significant relationship between MSEs' growth and, Access to Market Information, Access to finance, Government Support, Infrastructure Entrepreneurial Competency, Social Network, and types of business sectors and also, lack of adequate market linkage.&#x0D; Unique Contribution to Theory, Policy and Practice: Based on the finding the researcher recommended that the government body should facilitate market linkage to ensure the existing market linkage policy, develop infrastructure, and provide support for MSE. The Entrepreneurs Practice on their side to develop their Competency and Social Networks. In addition, sufficient market information should be collected continuously to increase the linkage to the market. The finding aligned with the theory of Resource base view, the institutional theory and social network theory.
A Dynamic and Fine-Grained User Trust Evaluation Model for Micro-Segmentation Cloud Computing Environment

&lt;p&gt;With the diversity and complexity of user access behaviors in the &amp;ldquo;micro-segmentation&amp;rdquo; cloud computing environment, it is no longer possible to control unauthorized access of authorized users by only relying on user identity login authentication to control user access to cloud resources. The existing trust evaluation methods can not cope with the characteristics of &amp;ldquo;micro-isolated&amp;rdquo; cloud environment, which is characterized by high granularity of resources, increasing number of users&amp;rsquo; access requests and rapid changes. Based on the zero-trust principle of &amp;ldquo;Never trust, al-ways verify&amp;rdquo;, we propose a dynamic, fine-grained user trust evaluation model for micro-segmentation cloud computing environment, which combines multiple user trust attributes and leverages the subjective-objective approach to assign weights to trust attribute indicators to achieve dynamic scoring of users&amp;rsquo; real-time behaviors. To capture the characteristics of users&amp;rsquo; intrinsic behaviors, we use correlation analysis to identify the correlation between users&amp;rsquo; current and historical behaviors, and combine sliding windows and penalty functions to optimize the model. The massive simulation experiments demonstrate the effectiveness of the proposed dynamic and fine-grained method, which can effectively combine the intrinsic correlation of users&amp;rsquo; own access behavior and the difference of access behavior among different users.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
The English Register in Social Media Instagram

This research entitled "English Register in Instagram Social Media". This research is conducted with the aim at identifying and mapping the use of English registers in social media Instagram and specifically is to find out the function of the usage of those registers. This research is a-qualitative descriptive research. The method applied for this research is observation method with note-taking and screen shot technique. To answer the formulated problems, this research applied register theory from Halliday (1994).
Kajian Psikolinguistik dalam Penguasaan Kosa Kata Bahasa Jepang Mahasiswa Program Studi Sastra Jepang Universitas Udayana

Psycholinguistics is related to three things, namely language comprehension, language production, and language acquisition. One of the goals of language acquisition studies is to facilitate the process of language acquisition, including foreign languages, for example Japanese. The dimension of acquiring Japanese is closely related to learning Japanese and mastering it. One of the basic things in mastering Japanese is vocabulary mastery. Vocabulary mastery reflects mastery of reading, writing, listening, and speaking skills. This study describes an evaluation of students' Japanese vocabulary mastery, as well as the potential for mastery associated with the six dimensions of language acquisition by Klein (1986).&#x0D; The main subjects of this research are all active students of the Japanese study program at Udayana University starting from the 2018 to 2021 class, totaling 258 people. Data were collected by the test method, where students worked on questions about knowledge of Japanese vocabulary which included competency components according to international standards of Japanese language skills, namely on the fulfillment of eight indicators of vocabulary knowledge tested, namely: reading Kanji; write Kanji characters; determine vocabulary according to context; determine synonyms; use words in sentences; determine the correct form of the word; compose sentences; and determine connecting words in a discourse. &#x0D; Data were analyzed descriptively qualitatively. The research resulted in an evaluation that the level of students' Japanese language proficiency was 54%. It is necessary to hold reading and writing exercises as a follow-up step. Regarding the potential for students' mastery of Japanese, the propensity and access factors are very important to improve.
Penanganan Siswa Hiperaktif di Sekolah Dasar melalui Model Contextual Teaching Learning (CTL) Berbantuan Metode Self Instruction

Hyperactive students are a challenge for teachers in learning because they can interfere with the learning process. Teachers can choose the right learning model and learning method so that learning can run well. This study aims to determine the implementation of the Contextual Teaching Learning (CTL) model assisted by the Self Instruction method in dealing with hyperactive students. This type of research is qualitative research with a case study approach using descriptive qualitative methods. Data collection techniques in this study used observation, questionnaires and interviews. The research subjects were 1st grade students totaling 2 children out of 29 students. The results of this study indicate that the use of the CTL learning model assisted by the self-instruction method creates a more effective atmosphere in learning. It is proven that during learning, an interactive classroom atmosphere is created conducive to the teacher's efforts in explaining the material to all students. The use of instruction through positive affirmation sentences is able to encourage students to consider their own decisions regarding the behavior they do.
COMPARATIVE ANALYSIS OF THE MCDA AND GFI METHODS IN DETERMINING FLOOD-PRONE AREAS IN JATINANGOR DISTRICT, SUMEDANG

Abstract. Flood is one of the natural disasters which has a high intensity in terms of occurrence. Despite the loss value in each event which is not as high as some natural disasters, such as earthquakes or tsunamis, the high occurrence of floods may cause high loss in total. Floods damage property and infrastructure, disrupt economic activity, displace people, harm communities, and degrade ecosystems. This study aims to compare the flood hazard model using Geomorphic Flood Index (GFI) and Multi-criteria Decision Analysis (MCDA). GFI is an established method which already used globally to identify the flood-prone area and the depth of the flood. The parameter needed to calculate GFI are the elevation, river network, and historical flood event. Meanwhile, the MCDA method tries to combine environmental, physical, and hydrographic factors, such as land use/land cover, precipitation, and runoff. The study area is Jatinangor District in Sumedang Regency which part of West Java Province, Indonesia. This location is chosen based on historical and potential flood events. Besides, Jatinangor District is the center of industry and commerce which Sumedang Regency is very dependent on. The finding of this study is expected to identify suitable methods for assessing flood hazards in Jatinangor or other areas with similar characteristics, between GFI and MCDA.
A Blockchain Federated Learning Scheme Based on Personalized Differential Privacy and Reputation Mechanisms

Federated learning is a distributed machine learning paradigm that effectively safeguards users' personal data from attackers. However, this approach is still susceptible to inference attacks that could compromise user privacy by analyzing gradient parameters during model training. To counteract this problem, differential privacy is applied to improve the privacy of federated learning. In this paper, we propose a blockchain-based federated learning model that leverages personalized differential privacy. Specifically, users can adjust levels of noise added to their local models based on their privacy requirements. The blockchain is integrated to avoid the central server's single-point-of-failure problem, thereby enhancing the security of the system overall. Furthermore, the proposed scheme incorporates reputation values to dynamically adjust aggregation weights, enabling faster model convergence and reducing the impact of malicious clients on the model. Experimental results demonstrate that the approach meets personalized privacy requirements while achieving high accuracy rates.
Mission-Oriented Security Framework: An Approach to Embrace Cyber Resilience in Design and Action

The rapid development in IT and OT system makes interactions among themselves and with humans immerse in the information flows from the physical to cyberspace. The traditional view of cyber-security faces challenges of deliberate cyber-attacks and unpredictable failures. Hence, cyber resilience is a fundamental property that protects critical missions. In this paper, we presented a mission-oriented security framework to establish and enhance cyber-resilience in design and action. The definition of mission-oriented security is given to extend CIA metrics of cyber-security, and the process of mission executions is analyzed to distinguish the critical factors of cyber-resilience. The cascading failures in inter-domain networks and false data injection in the cyber-physical system are analyzed in the case study to demonstrate how the mission-oriented security framework can enhance cyber resilience.
Strategic Partnerships and Organizational Performance of Broadcasters in Kenya

The performance of broadcasters has struggled with the economic implications of the digital disruption, the mobile telephony and the advent of social media compelling managers to rethink and recalibrate their strategies while radio and television stations have shut down their operations in the recent times in Kenya. The overall objective of the study was to determine the influence of strategic partnerships on the organizational performance of broadcasters in Kenya. The study was underpinned by the Igor Ansoff’s theory and resource based view theory. A correlation and descriptive research design was adopted. The target population comprised of 239 radio and TV station mangers drawn from 167 radio and 72 television stations. Simple random sampling was applied. The sample size of the study was 179 respondents. Results revealed a strong significant relationship between strategic partnerships and operational performance (r=0.667; P&lt;0.000). Study concludes: strategic partnership has got a significant influence on organizational performance.