Reviewerly/exHarmony huggingface dataset:
Data Mining using Improved Association Rule

Data Mining plays an important role in extracting patterns and other information from data.The Apriori Algorithm has been the most popular techniques infinding frequent patterns.However, Apriori Algorithm scans the database many times leading to large I/O.This paper is proposed to overcome the limitaions of Apriori Algorithm while improving the overall speed of execution for all variations in 'minimum support'.It is aimed to reduce the number of scans required to find frequent patters.
Imitating the oracle: Towards calibrated model for class incremental learning

Class-incremental learning (CIL) aims to recognize classes that emerged in different phases. The joint-training (JT), which trains the model jointly with all classes, is often considered as the upper bound of CIL. In this paper, we thoroughly analyze the difference between CIL and JT in feature space and weight space. Motivated by the comparative analysis, we propose two types of calibration: feature calibration and weight calibration to imitate the oracle (ItO), i.e., JT. Specifically, on the one hand, feature calibration introduces deviation compensation to maintain the class decision boundary of old classes in feature space. On the other hand, weight calibration leverages forgetting-aware weight perturbation to increase transferability and reduce forgetting in parameter space. With those two calibration strategies, the model is forced to imitate the properties of joint-training at each incremental learning stage, thus yielding better CIL performance. Our ItO is a plug-and-play method and can be implemented into existing methods easily. Extensive experiments on several benchmark datasets demonstrate that ItO can significantly and consistently improve the performance of existing state-of-the-art methods. Our code is publicly available at https://github.com/Impression2805/ItO4CIL.
The effect of self-compassion of early child teachers on teacher-child relationship mediated by teacher efficiency

본 연구는 영유아교사의 자기자비가 교사효능감을 매개로 교사-유아관계에 영향을 미치는지를 확인하기 위하여 수행되었다. 유치원과 어린이집에 근무하는 영유아교사 329명을 대상으로 온라인 설문조사를 통해 데이터를 수집하였다. 연구결과 첫째, 영유아교사의 자기자비, 교사효능감, 교사-유아관계는 중간값 이상으로 긍정적인 수준이었고, 각 하위요인 모두는 정적 상관을 나타냈다. 둘째, 교사의 자기자비는 교사-유아관계에 직접적인 영향을 미쳤으며, 교사효능감은 자기자비가 교사-유아관계에 미치는 영향을 부분매개하는 것으로 나타났다. 이 연구의 구조방정식 모형에서는 영유아교사의 자기자비가 교사효능감보다 교사-유아관계와 더 큰 관련을 가지는 것으로 나타났는데, 이러한 결과는 영유아교사의 자기자비가 교사-유아관계에 상당히 중요한 변수일 가능성을 시사한다. 이 연구는 영유아교사가 자신을 따뜻하게 인정하고 돌보는 등 스스로의 정신건강에 주목할 필요성을 제시하였으며, 교사의 자기자비 증진을 위한 구체적인 프로그램과 지원의 필요성을 제안한다.This study was conducted to determine whether the self-compassion of early child teachers affects the teacher-child relationship mediated by teacher efficacy. Data were collected through an online survey subjected to 329 early child teachers working in kindergartens and daycare centers. The results of the study are as follows. Firstly, the self-compassion, teacher efficacy, and teacher-child relationship of early child teachers were positive above the median, and all sub-factors showed positive correlations. Secondly, it was found that the teacher's self-compassion had a direct effect on the teacher-child relationship, and the teacher's efficacy partially mediated the effect of self-compassion on the teacher-child relationship. In the structural equation model of this study, it was found that self-compassion of early child teachers had a greater association with teacher-child relationship than teacher efficacy. And these results suggest that self-compassion of early child teachers is a very important variable in teacher-child relationship. This study conveys the need for early child teachers to pay attention to their mental health, such as warmly acknowledging and caring for themselves, and indicates the need for specific programs and support to promote teachers' self-compassion.
A exploration on a small kindergarten model considering the situation in chungcheongnam-do province

본 연구는 충남지역의 실정을 반영한 작은 유치원 모형(안)을 개발함으로써 소규모 유치원의 교육력 및 교육의 질을 제고하기 위한 구체적이고 종합적인 방향을 모색하는 것을 목적으로 한다. 이를 위하여 충남교육청 소속 유치원 교사를 대상으로 설문조사와 포커스그룹인터뷰를 실시하여 소규모 유치원의 운영 관련 어려움과 소규모 유치원 재구조화에 대한 의견, 공동교육과정 운영 지원의 필요성 및 시스템 보완 요구를 조사하였다. 그 결과 지자체와 교육청이 함께 협력하여 유아의 교육과 돌봄을 가장 효과적인 방법으로 운영할 수 있도록 함께 계획을 세우고 운영하는 것이 필요함을 확인하였다. 이를 바탕으로 단기적 관점에서 충남지역 소규모 유치원의 질 제고 측면에서 통합유치원을 위한 요건을 제안한 소규모 유치원 통합형 ‘작은 유치원’ 모형과 소규모 유치원 지원을 위한 ‘작은 유치원’ 공동교육과정 클러스터 모형, 장기적 관점에서 ‘작은 유치원’과 기관 연계 모형으로 유아교육 및 보육 기관 연계 모형, 유치원-지역돌봄 기관 연계 모형, 유아-초등-중등 통합운영학교 모형을 제시하였다.The purpose of this study is to develop a small kindergarten model that reflects the realities of the Chungcheongnam-do province, and to seek specific and comprehensive directions for improving the educational capacity and quality of small kindergartens. To this end, surveys and focus group interviews were conducted with kindergarten teachers affiliated with the Chungnam Office of Education to investigate difficulties related to the operation of small kindergartens, opinions on restructuring small kindergartens, the need for support for the operation of a joint curriculum, and demands for system supplementation. As a result, it was confirmed that local governments and education offices are required to plan and engage in together so that they can operate the education and care of young children in the most effective way. Based on this, requirements for integrated kindergartens in terms of the quality of small kindergartens in Chungcheongnam-do, and a joint curriculum cluster model for supporting small kindergartens were proposed from a short-term perspective. And an institutional linkage model for future education, early childhood education and childcare institutions, a kindergarten-local care agency linkage model, and an integrated operation school model for kindergartens-elementary-secondary schools were presented from a long-term perspective.
Experience of using digital devices at home shown in children's drawings

본 연구는 유아의 그림에서 나타난 가정에서의 디지털 기기를 활용한 경험에 대한 유아의 이미지와 인식을 살펴보는데 목적이 있다. 이를 위해 2022년 12월부터 2023년 1월까지 약 두 달동안 대전시와 충청북도에 소재한 4개 유아교육기관의 5세 유아 89명을 대상으로 가정에서의 디지털 기기를 활용한 경험에 대해 그림 그리기와 면담을 실시하고 분석하였다. 연구 결과, 2가지 범주의 6개 하위 범주로 구분되었다. 첫째, 유아의 디지털 기기를 활용한 경험에 대한 이미지는 ‘디지털 기기를 활용한 놀이’, ‘디지털 기기를 활용한 학습’, ‘디지털 기기를 활용한 소통’, 둘째, 유아의 디지털 기기 활용에 대한 인식은 ‘행복함과 즐거움을 주는 디지털 기기’, ‘부모의 규칙과 제재로 인해 부담감을 주는 디지털 기기’, ‘안전하지 않은 디지털 기기’로 나타났다.The purpose of this study is to examine the images and perceptions of young children on the experience of using digital devices at home by analyzing their drawings. To this end, for about two months from December 2022 to January 2023, 89 5-year-old children from four different early childhood educational institutions located in Daejeon and Chungcheongbuk-do were selected to conduct drawing sessions and interviewed for their experiences using digital devices at home. The result of the study was divided into two categories with six subcategories. Firstly, images on the experience of children using digital devices include ‘Play Using Digital Devices,’ ‘Learning Using Digital Devices,’ and ‘Communication Using Digital Devices’. Secondly, recognition for using digital devices for children was shown as ‘Digital Devices that Give Happiness and Pleasure’, ‘Digital Devices that Cause Burden due to Parental Rules and Restrictions’, and ‘Unsafe Digital Devices.’
Reply to Sanchéz et al.: Multiplicity does not protect privacy

Microbial communities are found throughout the biosphere, from human guts to glaciers, from soil to activated sludge. Understanding the statistical properties of such diverse communities can pave the way to elucidate the common mechanisms ...Multiple ecological forces act together to shape the composition of microbial communities. Phyloecology approaches—which combine phylogenetic relationships between species with community ecology—have the potential to disentangle such forces but are often ...
Let the viva voce live up to its name

Pruthvi Mehta wonders if the standard viva is really the best way to assess PhDs for all students.
Fusion System Design of Multi-sensors and Visual Algorithm For Elderly Fall Detection

In recent years, the population of the elderly in China is increasing, entering an aging society. Most elderly people have a fall experience, and the number and probability of falls increase with age. If there is no timely warning and rescue after the elderly fall, it may cause secondary injury due to failure to rescue in time. With the development of artificial intelligence and the corresponding demand increase, it has become an inevitable trend to seek comprehensive fall detection and monitoring equipment. Thus, we introduce a cloud-processing IoT system that combines sensor detection and visual detection.
Enhancing Cyber Threat Intelligence Sharing through a Privacy-Preserving Federated Learning Approach

This paper proposes a privacy-preserving federated learning approach to enhance cyber threat intelligence sharing. Cyber threats are becoming more sophisticated and are posing serious security risks to organizations. Sharing threat intelligence information can help to detect and mitigate these threats quickly. However, privacy concerns and data protection regulations hinder the sharing of sensitive information. Federated learning is a promising approach that allows multiple parties to collaborate in building a global model while preserving data privacy. We propose a framework that utilizes federated learning to train a global threat intelligence model without compromising the privacy of individual organizations' data. Our approach also includes a differential privacy mechanism to ensure the anonymity of the participating organizations. We demonstrate the effectiveness of our approach through experiments conducted on real-world datasets, showing that it achieves high accuracy while maintaining data privacy. The proposed approach has the potential to facilitate more effective and secure cyber threat intelligence sharing among organizations.
Sensor-aided camera calibration for three dimensional digital image correlation measurements

Stereovision systems can extract full-field three-dimensional (3D) displacements of structures by processing the images collected with two synchronized cameras. To obtain accurate measurements, the cameras must be calibrated to account for lens distortion (i.e., intrinsic parameters) and compute the cameras’ relative position and orientation (i.e., extrinsic parameters). Traditionally, calibration is performed by taking photos of a calibration object (e.g., a checkerboard) with the two cameras. Because the calibration object must be similar in size to the targeted structure, measurements on large-scale structures are highly impractical. This research proposes a multi-sensor board with three inertial measurement units and a laser distance meter to compute the extrinsic parameters of a stereovision system and streamline the calibration procedure. In this paper, the performances of the proposed sensor-based calibration are compared with the accuracy of the traditional image-based calibration procedure. Laboratory experiments show that cameras calibrated with the multi-sensor board measure displacements with 95% accuracy compared to displacements obtained from cameras calibrated with the traditional procedure. The results of this study indicate that the sensor-based approach can increase the applicability of 3D digital image correlation measurements to large-scale structures while reducing the time and complexity of the calibration.
Process of Formulating Pildam and Its Characteristics: 『Chusa Pildam-cheop』 and ｢Banhyeongchonghwa｣

The process of formulating Pildam (conversation in writing) to the present time is focused on the comparative review of contents of Park Je-ga related 『Chusa Pildam-cheop 2』 with 『Yeolha Gihaengsiju·『Yeondae Jaeyurok』·『Hojeojip』and others to record the damcho (writing for a recorded story) to be collected and rearranged, and it inspected the process of addition, edition and revision thereafter. In addition, diverse characteristics and features of pildam have been observed with the subject of ｢Banhyeongchonghwa｣ with the theme of 『Susarok』 of Han Pil-gyo.&#x0D; The Park Je-ga related pildam of 『Chusa Pildam-cheop』 contains only the pertinent contents of 『Yeolha Gihaengsiju』 and 『Yeondae Jayurok』of Yoo Deuk-gong and 『Hojeojip』of Park Jang-am, but it was actually omitted. It is actually excluded in the process of Park Je-ga and Yoo Deuk-gong collecting and rearranging the damcho that had the pildam with the Chinese intellectuals. Therefore, the damcho at the time of yeonhaeng (journey in visiting China) to be recorded in 『Chusa Pildam-cheop 2』, and it was added and edited to be revised in 『Yeolha Gihaengsiju』, 『Yeondae Jaeyurok』, 『Hojeojip』 and the like.&#x0D; ｢Banhyeongchonghwa｣ records the fact of meeting various people ranging from the Tamlla stranded person met at Yagyeta to Chinese intellectuals, such as, Han Woon-hae, Lee Jang-wook, Yoo Hee-hae and others who were exchanged in Beijing as well as Go Guk-rye of Aklasagwan (private photo shop operated by Russian) to share the conversation or Pildam as well as the fact of exchanging Chinese poetry and letters. Accordingly, it depicts the cases by capturing the situation of Chinese intellectuals attempting to refrain from contacting the envoys from Joseon Dynasty, and having someone to act on pildam when the pildam was exchanged by encountering of Manchurian and foreigner. It even displays all kinds of humiliations in the process of collecting the damcho, or wasting the time and effort from encountering deception of an old man who acted as Seosomun at Muryeong-hyeon. In a word, ｢Banhyeongchonghwa｣ is the data that demonstrates the diverse characteristics and features of Pildam.
The Effect of Job Challenges on Subjective Career Success through Learning Agility

This study analyzed job challenge and learning agility together to reveal various antecedent factors of subjective career success, which increased interest as careers changed to individuals due to recent economic and social changes. In a situation where empirical studies that analyzed three variables integrally are insufficient, a theoretical relationship was assumed based on the conceptual characteristics of each variable. 248 data collected in a survey conducted on domestic companies were analyzed. Along with reliability analysis and correlation analysis, hierarchical regression analysis was performed for hypothesis verification. In addition, Sobel test was performed for mediating effect analysis. As a result of the analysis, job challenges had a significant positive (+) effect on learning agility and subjective career success. In addition, job challenges was found to have a statistically significant positive (+) effect on subjective career success through learning agility. Based on the analysis results, the necessity of constructing challenging jobs at the corporate level, the atmosphere of the organization that can increase learning agility, and the necessity of education were presented as practical implications.
Heart attack prediction using machine learning

The most prevalent kind of cardiovascular illness is a heart attack, which may or may not have symptoms. The damage to the heart muscle increases with delayed treatment, which increases the risk of mortality. More than 10 million people die each year from heart attacks, and many of them may be avoided if heart attacks could be accurately predicted. To estimate the likelihood of suffering a heart attack, five different machine learning algorithms are used on the Public Health Heart Attack dataset. Several evaluation metrics, including accuracy, recall, precision, ROC curve, and F-score, were used to evaluate the models. All the models—MLP, RBF, SVM, KNN, and RF— achieved significant accuracies of more than 75%, with KNN having the greatest overall performance
On the Teaching of Natural Science- and Electrotechnologically-Oriented University Course for Future Teachers in the Period of Covid 19 Pandemic

The closure of schools and urgent importance of distance education during the Covid 19 pandemic revealed a necessity to find suitable teaching methods that would help to maintain the continuity level of educational system in case of different possible critical periods of society's survival, such as viral and bacterial pandemics, war, climate, meteorological and other disasters. In this context, the need for possibilities of distance-oriented further education of teachers has also emerged. Moreover, it was very important to create a great amount of suitable teaching materials. All mentioned facts require serious didactic research. In fact, it would also help to identify the positives and negatives of previous teaching methods applied in each individual school subject before the Covid 19 pandemic in Slovakia. During the Covid 19 pandemic, the authors of this paper have implemented a natural science-technologically oriented university course for future teachers in the period of Covid 19 pandemic. The research was conducted by method of pedagogical experiment. Paper consists of 9 chapters altogether, also including introduction, conclusion, acknowledgement, and bibliography. The first chapters are theoretical. They directly present the process of creating FVCOVIDE = Distance forms of education (during Covid 19 pandemic, having the character of experimental forms of teaching). Chapter 3 is of pedagogical experiment nature, applying the above-mentioned models into school practice. It also includes research hypotheses, statistical data processing and results interpretation.
Model of an individual educational trajectory of a student with disabilities and health limitations

Universities have created conditions for organizing an integral system that provides high-quality professional training and social integration of people with limited health opportunities. However, the development of inclusive vocational education requires a systematic solution to a number of problems, which include the problem of the existing deficit in universities of innovative educational programs and forms of education focused on inclusive vocational education. The purpose of the study is to develop the structure of a model of an individual educational trajectory for a student with disabilities and to test its effectiveness experimentally. An individual learning path allows each student, including those with disabilities, to develop a creative individuality, personal and professional qualities. Methods used in the study: generalization, analysis and synthesis of information, comparison, pedagogical experiment. For the experiment, a comparison was made of the performance of two groups of students, divided by the criterion of the presence or absence of health limitations. The author has developed a model of an individual trajectory of a student with health limitations, which is based on modules that are professionally significant actions (learning elements). The theoretical and practical significance of the work is presented by the developed model of an individual educational trajectory for teaching students using modular technology, which can be applied in the practice of teaching universities in order to improve the quality of training students with disabilities.
Formation of the motivational-value component of the professional culture of the personality of the future music teacher

The article considers the component structure of the professional culture of the personality of the future music teacher. The author analyzed a large amount of research in the field of the component structure of the professional culture of the individual, the motivational sphere of pedagogical activity, and the professional training of a music teacher. The formation of the motivational-value component occupies an important place in the development of the professional culture of the personality of the future teacher. The author highlights the motivational-value component as one of the priorities in the structure of the professional culture of the personality of the future music teacher. Russian sacred music is chosen as a means of influencing the motivational sphere of students and the professional culture of the future teacher in general. The paper defines the importance of the chosen means, emphasizes the special educational potential of Russian sacred music and the insufficiency of its use in the professional training of the future music teacher. The motivational-value component of the professional culture of the personality of the future music teacher is realized in the process of analyzing, performing and listening to Russian sacred music, and music is presented as a value of the world musical culture. The article presents the results of a study of the levels of the motivational-value component of the professional culture of a future music teacher. The author reveals the features of the study of Russian sacred music, presents the forms and methods of working with students, demonstrates the results of his work to increase the level of the motivational-value component of the students' professional culture. The effectiveness of the work is manifested in a positive interest in samples of Russian sacred music and forms the motivation for independent extracurricular activities of students.
Conditions for the effective application of research methods in educational practice

The article analyzes the trends in theoretical and methodological rethinking of the practice of education in a changing society and the need for its development as an environment that stimulates innovative processes. The development of upbringing practice in the activities of a modern teacher requires him to be constantly ready to solve research problems caused by the need to penetrate into the essence of the features of the formation of a child's personality in rapidly changing conditions, the nature of building relationships with him, involving him in activities and communication. The experience of the authors' work as experts of innovative projects in the practice of education is analyzed. The reflexive competence of the teacher in professional activity is disclosed in detail. The conditions for the effective application of research methods in the practice of education are outlined: reliance on the methodological foundations of education; reliance on the theoretical foundations of the organization of research activities; the formation of the competence of professional reflection, reflective competence as the ability to translate the problem of professional activity into a research task; constant appeal to the experience of colleagues and its study, the need for a practicing teacher to be aware of innovative ideas that are born in the practice of Russian teachers and foreign colleagues.
IoT-Based Secure Blockchain Framework for Patient Record Management Using MPRESENT Lightweight Block Cipher

This paper deals with the patient record management framework and its security by our novel lightweight block cipher MPRESENT. Blockchain is a distributed data repository and used nowadays in various use cases, and one of them is Patient Record Management. Blockchain also provides a trusted distributed network. Internet of things (IoT) is the one mostly used network to record patient data in various units of a hospital. A Blockchain framework for storing patient records and its management from IoT devices installed at various units in a hospital and the security established by lightweight block cipher is proposed in this paper. Further, we also provided a second layer of security in the IoT sensor layer through MPRESENT.