Reviewerly/exHarmony huggingface dataset:
In Support of Valerie Plumwood

&#x0D; &#x0D; &#x0D; This paper offers general support for what Valerie Plumwood’s paper is trying to achieve by supporting the rejection of each of her four “false laws of logic”: exportation, illegitimate replacement, commutation (aka. permutation) and disjunctive syllogism. We start by considering her general characterizations of entailment, beginning with her stated definition of entailment as the converse of deducibility. However, this applies to a wide range of relevant logics and so is not able to be used as a criterion for deciding what laws to include in a logic. In this context, we examine the two key differences between deduction from premises to conclusion and entailment from antecedent to consequent. We also consider her use of sufficiency as a general characterizing feature. We then discuss Plumwood’s syntactic criteria used to reject the first three of her false laws of logic and add the Relevance Condition in this context. We next consider semantic characterizing criteria for a logic. After making a case against using truth, we introduce Brady’s logic MC of meaning containment. We then examine the content semantics for MC and use it to reject all of Plumwood’s false laws of logic together with some others. We follow with the related Depth Relevance Condition, which is a syntactic cri- terion satisfied by MC. This clearly rejects the first three of these laws and many others, but not the fourth law. We conclude by giving our overall support for her general enterprise. &#x0D; &#x0D; &#x0D;
Cultural background in digital literacy of elementary and middle school students: Self-appraisal versus actual performance

Background: Integration of digital technologies in schools raises the need for studentsto master technological, cognitive, and social digital literacy (DL) competencies.Objectives: Based on Hofstede's dimensional paradigm for defining culture, weaddress the cultural context and examine perceived and actual DL of Arabic-speakingminority students in Israel.Methods: First, 402 Arabic-speaking minority students from elementary Arabic-speaking schools and 232 students from middle schools reported their DL based onthe DL framework. Among them, 347 elementary and 205 middle school studentsperformed a battery of DL tasks.Findings and Conclusions: The findings revealed a very low level of DL performanceby minority students in both elementary and middle schools. The highest performance score was in information literacy: M = 1.49 and M = 1.55 out of 5.00 for elementary and middle school students respectively. Despite the ubiquitous use of socialnetworks, the lowest score was obtained in social–emotional literacy—0.23 for bothelementary and middle school students. In contrast to performance, both elementaryand middle school minority students estimated their digital literacy competencies ashigh or very high. Among the elementary students, a weak correlation was foundbetween their DL perceptions and performance of the photo-visual, branching, andsocial–emotional literacies. Among the middle school students, the only significantcorrelation was found between perceptions and performance of reproduction literacy. The findings raise the need to improve the DL competencies of minority studentsand develop their metacognitive abilities. This helps to assess their DL more accurately, in order to ensure their successful functioning in digital environments. Theoretical and educational implications of the findings are discussed.KEYWORDSactual competencies, digital literacy, cultural differences, digital literacy, educational stagedifferences, minority school students, perceived digital literacy skills
3D AR Learning Media on Human Respiratory Organs to Train Elementary Science Process Skills

The background of this research was carried out because there was no application of digital media in schools and only used media in the form of books. At this time there is a great need for learning media that is interactive, interesting, and motivates students so that learning in the classroom becomes fun. However, the learning media used is only conventional media, especially in learning the material of the respiratory organs in humans. Through this statement, researchers plan to design and develop 3D Augmented Reality learning media based on the characteristics of grade V students of SDN 068 Sindanglaya. This study was made to determine the science process skills of students with the subject matter of human respiratory organs using 3D Augmented Reality learning media. The research method used is the Weak Experiment method with One-Group pretest-posttest Design. The results of the media feasibility test based on teachers, student responses and observation questionnaires of science process skills obtained an average percentage of 92.6% which indicates the category "Very Feasible". So it can be concluded that the 3D Augmented Reality learning media of respiratory organ material in humans is very feasible to use in the learning process in the classroom to train students' science process skills.
Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review : Double Anonymous • Conference submission management system : Morressier • Number of submissions received : 37 • Number of submissions sent for review : 37 • Number of submissions accepted : 21 • Acceptance Rate (Submissions Accepted / Submissions Received × 100) : 56.8 • Average number of reviews per paper : 1 • Total number of reviewers involved : 4 • Contact person for queries : Name : Dika Supyandi Email : dika.supyandi@unpad.ac.id Affiliation : Universitas Padjadjaran, Indonesia
Perception of early childhood teachers concerning digital play

본 연구는 메타포 분석을 통해 유아교사들이 갖고 있는 디지털 놀이에 대한 인식을 살펴보고, 이를바탕으로 디지털 놀이 지원을 위한 방향성과 방안을 모색하고자 하는 데에 그 목적이 있다. 이를 위하여2023년 3월 13일부터 4월 14일까지 G광역시, J도 지역의 유치원과 어린이집 교사 123명을 대상으로 메타포설문을 실시하고, 메타포 판별, 메타포 범주화, 범주 개발, 범주 분류, 타당도와 신뢰도 검토 및 양적 통계분석을 통하여 유아교사의 디지털 놀이에 대한 인식을 범주화하였다. 그 결과, 디지털 놀이에 대한 메타포는디지털 놀이의 개념, 디지털 놀이의 가치, 디지털 놀이의 반가치, 디지털 놀이 지원 역할 및 방안, 디지털놀이 지원의 어려움 및 요구의 5개 측면으로 유형화되었다. 교사들은 디지털 놀이의 가치 측면을 가장 많이언급하였고, 유아교사의 디지털 놀이 개념에 대한 이해는 다양하게 나타났으며, 교사들은 디지털 놀이 지원을위한 교사의 역할을 탐색하고 보다 교육적인 지원을 하기 위한 고민과 요구를 표현하였다. 이와 같은 결과를바탕으로 이후의 디지털 놀이 운영 및 지원을 위한 방향성을 제안하였다.The purpose of this study was to examine the perception of digital play that early childhood teachers have through metaphor analysis, and to seek directions and plans for digital play support based on this. To this end, from March 13 to April 14, 2023, a metaphor survey was conducted targeting 123 kindergarten and daycare teachers in G-metropolitan and J-province, and digital play of early childhood teachers was conducted through metaphor identification, metaphor categorization, category development, category classification, validity and reliability review, and quantitative statistical analysis. The concept of is categorized. As a result, the metaphor for digital play was categorized into five aspects: the concept of digital play, the value of digital play, the anti-value of digital play, the role and plan to support digital play, and the difficulties and demands of digital play support. Early childhood teachers' understanding of the concept of digital play was diverse, and teachers mentioned the value aspect of digital play the most, exploring the role of teachers to support digital play and worrying and demanding more educational support. expressed. Based on these results, a direction for future digital play operation and support was suggested.
The Effect of ClassPoint Learning Media as Interactive and Fun Learning

The era of the industrial revolution, which was all technological, made all aspects continue to innovate so that they remained optimal, especially in the world of education. The current educational challenge is that there is still a lack of more interactive learning media using ICT, so that educators or teachers must be more extra in mastering technology in the manufacture and development of learning media. This study aims to develop learning media using classpoints that are easier on learning materials taught by each educator. With the same explanation as the previous ppt media with this feature there are many things to develop, especially in questions that the teacher can directly make on slides with various types of answers. The research model used applies ADDIE (Analysis, Design, Development, Implementation, and Evaluation) with a quantitative descriptive approach using interviews and questionnaires. A total of 36 students were the subjects in this study. With the results of the study showing that students answered above the range &gt; 60% to 100%, it means that students agree to strongly agree that classpoint learning media is fun and interactive and easy to use.
The Influence of Transformational and Transactional Leadership on Organisational Performance: A Case of a Higher Education Institution in Tanzania

This study aimed at examining the influence of transformational and transactional leadership on organisational performance by using Ruaha Catholic University of Tanzania as a case study. Quantitative data was collected from 130 employees of the university by using a standard questionnaire. Data analysis was done by using descriptive and inferential statistics, specifically linear regression. Descriptive results were presented using frequencies, means and standard deviations while results from inferential statistics were presented in the form of correlations and regressions. Transformational and transactional leadership were found to have mean values that are above average score and the difference between the two leadership styles were not significantly big. However, the findings show that leaders practised more of transactional leadership than transformational leadership since transactional leadership had higher mean score value. Moreover, the study found that both transformational and transactional leadership have significant positive linear relationships with organisational performance. The findings give an implication that both transformational and transactional leadership can be used concurrently to bring about positive results in an organisation.
THE EFFECTIVENESS OF HANDOUT LEARNING MEDIA BASED ON INQUIRY METHODS ON HEAT MATERIALS AND TRANSFER AT SD NEGERI 22 PALU

This study aims to determine the effectiveness and response of students to use handout learning media based on the inquiry method on heat material and its transfer at SD Negeri 22 Palu. The research design used is a pre-experimental design using a one group pre test post test model. The average student learning outcomes before using the handout media was 61.8 while the average student learning outcome after using the handout media was 80.6. The average difference in student learning outcomes is 19.5. Analysis of 8,209 and 1,703. Based on the analysis, it is stated that &gt; so the handout learning media based on the inquiry method on heat and its transfer material is declared effective for use in class VB SD Negeri 22 Palu. The use of media handouts in learning received a positive response from students, Media handouts can arouse students' enthusiasm and curiosity about teaching materials.
Analisa Transaksi Penjualan Dalam peningkatan Promosi Penjualan Berbasis Sistem Informasi

all have recorded all sales transactions into the information system, it's just that the existing data is not used as new information for the next marketing strategy. Data Analysis This sales transaction will combine with a computer, namely data mining techniques to find the rules of a combination of items. One of the stages of association analysis that has attracted the attention of many researchers to produce efficient algorithms is high-frequency pattern mining. The output of data mining can be used to improve future decision making. The purpose of using data mining with the Apriori Algorithm is to find out the results of product sales data processing, so that it can make a marketing strategy to place products that are often purchased, making it easier for consumers to find the location of products to save time. Association analysis or association rule mining is a data mining technique to find the rules of a combination of items. One of the stages of association analysis that has attracted the attention of many researchers to produce efficient algorithms is high-frequency pattern mining. Support is the value of support or percentage combination of an item in the database. While confidence is the value of certainty, namely the strength of the relationship between items in an a priori (Srikanti et al. 2018). The purpose of using data mining with the Apriori Algorithm is the result of processing product sales data, so that it can make marketing strategies to place products that are often purchased, making it easier for consumers to find product location to save time (Nugraha et al. 2016). The priority of this research is the creation of an Apriori Algorithm implementation in the sales transaction system at XYZ Supermarkets. in the data processing so that the data stored in the database will become information that can be used to assist in determining the marketing strategy of XYZ Supermarkets in the future.
Investigating Academic Writing in EFL Contexts: Students’ Voices on Complexities and Coping Strategies

This research aimed to investigate students’ voices regarding the complexities that contribute to challenges and the coping strategies that address academic writing challenges they use in academic writing. Through a qualitative method, four female students majoring in English Education in the eighth semester at a private university in Indonesia were chosen as participants in this study's interview. Data analysis techniques employed include analyzing the data, coding the data, and interpreting the data. The findings indicated that twelve complexities contributed, namely learners’ low motivation, lack of lecturers’ feedback, lack of translation, lack of references, lack of time, lack of research background, low students' self-confidence, lack of experience in writing, lack of proficiency in reading, lack of critical thinking skill, lack of proper preparation in writing, and lack of a supportive writing learning environment. Students used twelve coping strategies for organization, ideas development, vocabulary, grammar, and mechanics. These strategies included exercises, feedback, reading academic papers, extensive reading, Google Translate, QuillBot, Grammarly, and Mendeley for arranging academic style. The implication of this research has been discussed here.
Peranan Penting Evaluasi Pembelajaran pada Menulis Permulaan

Evaluation is part of the assessment on each subject. Evaluation carried out on an ongoing basis will allow the assessor to assess the extent to which the program is being developed to achieve the goals that have been designed. Beginning writing is the ability to write that is taught to students in the early stages, namely in grades I and II, with this ability students are expected to be able to express their thoughts and feelings accompanied by by writing. This type of research is descriptive with a quantitative approach. In this research is expected to be able to describe the real situation in the field. According to Mukhtar (2013.10) the descriptive-quantitative method is a method used by researchers to find knowledge or theories about this researcher using a qualitative descriptive method. By collecting data, observation and in-depth interviews. Based on the results of evaluation research on learning to start writing at SD Negeri Mekarsari 1 Rajeg Using evaluation, which consists of several tests and non-tests (formative) as well as tests and non-tests (summative), and the results of the discussion of one of the teachers at SD Negen 1 Rajeg, Behau uses several steps in conducting evaluation of initial writing, namely, 1 Implement tests, both tests and non-tests, in the evaluation process chain the teacher must make a learning evaluation, the evaluation process can be completed by carrying out tests or tests, which can occur at the beginning, middle or end of the learning process in one semester. There are four basic language skills that must be possessed by every student, namely listening ability, speaking ability, seeing ability, and writing ability. The purpose of writing the beginning has the goal of teaching and training.
Reasoning about MLIR Semantics through Effects and Handlers

MLIR is a novel framework for developing intermediate representations (IRs) of compilers. At its core, MLIR is a framework for the specification of syntax fragments (dialects) and optimisations, which can be combined à−la−carte to form customised IRs. Through this, MLIR allows IR abstractions to be shared across different domains. With rapid adoption of MLIR across industry, techniques for formalised semantics which matches the flexibility and extensibility offered by MLIR are urgently needed. We propose a framework for MLIR semantics based on effect handlers, which allows for dialect semantics to be specified in a modular and composable way, parallel to MLIR. We also describe several research directions continuing on from handlers-based MLIR semantics.
Effect of Combinations of Sensor Positions on Wearable-sensor-based Human Activity Recognition

Human activity recognition (HAR) has attracted widespread attention in areas such as human-computer interaction, work performance management, and healthcare.Owing to advantages such as continuous monitoring, reduced cost of deployment, and ease of privacy protection, wearable-sensor-based HAR is preferred over the traditional approach of using external sensors.In this study, the influence of different combinations of seven body-worn accelerometer positions on the classification of 23 complex daily activities was examined.A conventional machine learning model, namely, RandomForest (RF), and two deep-learning (DL) models, convolutional neural network (CNN)-long short-time memory (LSTM) and CNNtransformer, were used to understand the impact of using different models on the classification performance.The results showed a strong correlation between the classification models regarding the combinations of sensor positions and classification performance (F1-score).Additionally, the combination of the four sensors from the left and right wrists, right upper arm, and right thigh was determined to be the best.This study also showed that, owing to feature calculation, the RF model took a longer processing time than the DL-based models and that the CNN-LSTM model would be preferable to RF if plenty of data were available for training it.The results can provide a reference for application designers in choosing appropriate combinations of sensor positions based on requirements for wearability and classification performance.
Improved technique for order of preference by similarity to ideal solution method for identifying key terrain in cyberspace asset layer

Reinforcing weak cyberspace assets is an urgent requirement to defend national cybersecurity. Cyberspace key terrain (CKT) is a theory recently proposed for sensing cyberspace posture. Identifying CKT in the asset layer is essential for supporting cyberspace defense decisions. Existing methods ignore the influence of the multi-attribute correlation of cyberspace nodes and cyber attack mission (CAM) diversity, which restricts the recognition accuracy of CKT. To improve the accuracy of CKT identification and explore the relationship between CKT and CAM, we propose an improved cosine similarity technique for order of preference by similarity to the ideal solution (CosS-TOPSIS) method to model CKT and construct a CAM based on the MITRE adversarial tactics, techniques, and common knowledge (ATT&amp;CK) framework to examine the influence of different weighted CAM on modeling CKT. Based on the vulnerability value calculation method of the cyber system in the common vulnerability scoring system version 3.1 (CVSS 3.1), we evaluated the effectiveness of CosS-TOPSIS in identifying CKT using three metrics: correlation coefficient, root mean square error, and mean absolute error. Our experiments showed that, in comparison with the TOPSIS method, the accuracy of the proposed method for identifying CKT improved by 8.9%, and the root mean square error reduced by 16%; simultaneously, CAM was proven to be an essential factor in identifying CKT. The feasibility and reliability of CosS-TOPSIS in identifying CKT and the close relationship between CAM and CKT identification were demonstrated experimentally. In our work, we utilized cosine similarity and FAHP to improve the baseline method. We also introduced three indicators to evaluate the method’s reliability. Drawing from ATT&amp;CK, we recommend CAM as a tool for sensing changes in the cyberspace environment and explore its relationship with CKT. Our work has great application potential for identifying cyberspace vulnerabilities, supporting cyberspace defense, and securing national cyberspace facilities.
Ontology Driven Closed Control Loop Automation

Autonomic network management approaches have not been widely adopted, mainly due to significant unsolved challenges. Challenges include technical complexity, lack of consistent models and knowledge bases describing the system, and the difficulty of evolving management methods and processes. Autonomic approaches often operate a closed control loop. Such loops enable dynamicity and are often intent driven, where system goals and requirements are declared, then automatically accomplished and maintained. These loops continuously monitor and analyze large amounts of information to infer knowledge about the system.Representing the knowledge as semantic graphs is well suited to automated inference, enabling hidden relationships, strategies and understanding to be identified. When applied in an autonomic network management system this automatic discovery of additional knowledge can be used in several ways to inform and improve intent driven closed control loops.This paper describes the design and evaluation of an ontology to represent and help interpret, validate and apply high level goals or ‘intents’ as part of a closed control loop. This approach enables these intents to be enforced, satisfied and maintained. The ontology forms part of a framework which generates graph-based data from network monitoring information collected in a commonly used network/cloud monitoring service (Prometheus). The ontology also models intents relative to the monitoring knowledge. Furthermore, the model has the capabilities to allow the monitored network to adapt, then helps plan how to continuously satisfy and maintain the intent. Finally, the ontology and framework are applied in a real-life use case, which relates to Quality of Service (QoS) assurance for a 5G Telecoms Network Slice. The use case is designed to motivate and demonstrate the usefulness of the approach.