Reviewerly/exHarmony huggingface dataset:
Prediction of Successful Harvest of Vaname Shrimp Pond at PT FEI With Machine Learning Approach

The demand for shrimp from Indonesia continues to increase every year, thus creating greater interest in the shrimp farming industry. Although shrimp is relatively easy to farm, many variables affect the success of the harvest. The harvest in shrimp farming is calculated using % SR (Survival Rate). In our research, we used machine learning approaches, namely decision tree (DT) and k-Nearest Neighbor (KNN). DT and KNN will be used to predict whether we will have a successful harvest. From these predictions, we also provide suggestions for business improvements to utilize data. The expected result of such advice is that the business can improve its performance and get more consistent results.
Analysis of Prediction of Economic Losses due to Flood Disaster Hazards in Industrial Estates in Karawang Regency

Based on the National Disaster Management Agency, there was an increase in the total number of disasters from 2020 to 2022, which was initially 1,296 to 5402 disasters, with the highest percentage of disaster events being flood disasters with the highest frequency being in the West Java and DKI Jakarta areas (BNPB, 2022). The high frequency of floods that occur in the West Java region can certainly increase economic losses that are pretty high. On the other hand, West Java Province also contributes the third most significant national GDP. The sector that contributes the most to West Java's GRDP is the processing industry sector (BPS, 2017). Karawang Regency is one of West Java's destination areas for industrial development. In Karawang Regency, industrial areas are developing quite rapidly and are concentrated in the southern part of Karawang Regency (Telukjambe Barat, Telukjambe Timur, Ciampel, Pangkalan, Klari, and Cikampek districts). However, based on research conducted by the ITB Climate Change Center (2022), several points have a relatively high level of flood hazard in the area. That can bring considerable losses if the disaster occurs in an industrial area, so an analysis of losses due to flooding is needed at the location of the existing industrial site, which is currently in Karawang Regency. Therefore, this research was conducted to determine the condition of existing industrial land in flood-prone areas and to find predictions of economic losses that will be obtained in the event of a flood disaster on existing industrial land today. The research used secondary data in shapefiles (.shp) maps of Karawang Regency, planning documents, and related journals. Then, the analysis method that will be carried out is mapping disaster-prone areas in industrial estates and predicting economic losses due to flood disasters which will be carried out with a Geographic Information System (GIS). Based on the results of the analysis, it was found that 34.69% of the existing industrial land is located in flood-prone areas, which are predicted to impact the economic losses of IDR 65,049,705,681,272,-. That shows a need for a flood mitigation plan and the suitability of proper allocation of industrial estates to reduce the possibility of economic losses to be borne by the government.
PROPOSAL OF CLUSTER ANALYSIS METHOD FOR PRODUCTS CONSIDERING EXPLORATION AND EXPLOITATION IN ENGINEERING DESIGN

Abstract It is important for organizations to balance exploration and exploitation in order to respond quickly and sustainably to the needs of society and users in a rapidly changing business environment. However, there is insufficient research on design methods to balance exploration and exploitation in product design, and a method to objectively identify the product groups to be balanced has not yet been established. In this paper, on the basis of the characteristics of exploration and exploitation in design, a cluster analysis using functional and attribute distances between products is proposed. To validate the proposed method, it was applied to past product cases in which the relationship between exploration and exploitation was known. The results showed that in the cases of cameras, in addition to known product groups forming large clusters, reasonable minor classifications that had not been identified were also obtained. This indicates that the proposed method is capable of analyzing reasonable clusters in the cases and is potentially effective in identifying product groups taking into consideration the relationship between exploration and exploitation.
WEATHER EVENTS FORECASTING IN KOTA KINABALU USING A FUZZY RULE-BASED SYSTEM

A weather forecast is a prediction of weather phenomena in the future by collecting as much data as possible. Major worldwide climate studies include the breakthrough and interpretation of complicated weather patterns in order to successfully forecast varied weather events. It is quite complex to screen so many parameters from several factors to discover precise weather conditions. In this paper, a fuzzy rule-based system (FRBS) is applied for weather forecasting in Kota Kinabalu. There are 234 fuzzy rules being developed as the FRBS are constructed along and successfully implemented in MATLAB. Based on the results, the comparison between actual and forecast data shows moderate precision as the accuracy level is higher than the level of error analysis.
The Impact of Digital Leadership on Strategic Recovery / Field Research in Rafidain Bank

The research aims to determine the level of the main variables in the researched organization and test the impact of the relationship between digital leadership in promoting strategic recovery and in order to achieve this, the dimensions of digital leadership were adopted (visionary leadership, digital learning culture, professional development, comprehensive methodological improvement, digital citizenship), while the dimensions of strategic recovery were adopted (speed, apology, compensation, explanation and clarification, empowerment), and (Rafidain Bank) was chosen to test this research, which is one of the ancient Iraqi banks that It provides a range of banking services to a wide segment of society, and the questionnaire was adopted according to the Lekrth five-point scale as a tool for collecting information, as the research sample included (133) managers of departments and branches in Baghdad and the provinces, in addition to that, after evaluating and testing the validity and stability of the research measurement tools, the data was analyzed as the data was used Natural and confirmatory factor analysis The hypotheses were tested using appropriate statistical tools such as the arithmetic mean and standard deviation to measure the level of variables and the correlation coefficient to test the relationships between variables and regression analysis using structural equation modeling and path analysis, and one of the most important conclusions reached by the research is that digital leadership has an effective and moral impact in promoting strategic recovery, which contributes to ensuring the continuity and sustainability of organizations.
Augmented Reality-Based Mobile Learning: Enhancing Student Spatial Intelligence

Mobile learning is highly recommended for teachers in implementing virtual learning during the COVID- 19 pandemic as a substitute for face-to-face learning. This study aims to provide an overview of the development of Augmented Reality (AR)-based Learning Mediums in improving students’ spatial intelligence on the basics of Mapping, Remote Sensing, and Geographic Information Systems in SMA in West Sumatra. The results showed that there was an increase in the spatial ability of students in the Basics of Mapping, Remote Sensing, and Geographic Information Systems in Class X’ s odd semester using augmented reality-based mobile learning.
INFORMATION AND COMMUNICATION TECHNOLOGIES (ICTS) IN THE TEACHING-LEARNING OF ORGANIC CHEMISTRY

A documentary review was carried out on the production and publication of research papers related to the study of the variables Information and Communication Technologies ICTs in the Teaching – Learning of Organic Chemistry. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 201 8-2022, achieving the identification of 160 publications in total. The information provided by this platform was organized through graphs and figures categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors towards the proposed theme is referenced through a qualitative analysis. Among the main findings made through this research, it is found that the United States, with 60 publications, was the country with the highest scientific production registered in the name of authors affiliated with institutions in that country. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material referring to the study of Information and Communication Technologies ICTs in the Teaching – Learning of Organic Chemistry was Chemistry with 160 published documents, and the Type of Publication that was most used during the period indicated above was the Journal Article with 105 documents of the total scientific production.
MODALITIES OF TEACHING LEARNING THROUGH INFORMATION AND COMMUNICATION TECHNOLOGIES IN HIGHER EDUCATION

A documentary review was carried out on the production and publication of research papers related to the study of the variable Modalities of Teaching, Learning, ICT and Higher Education. The purpose of the bibliometric analysis proposed in this document was to know the main characteristics of the volume of publications registered in the Scopus database during the period 201 7-2022, achieving the identification of 838 publications. The information provided by this platform was organized through graphs and figures categorizing the information by Year of Publication, Country of Origin, Area of Knowledge and Type of Publication. Once these characteristics have been described, the position of different authors towards the proposed theme is referenced through a qualitative analysis. Among the main findings made through this research, it is found that Spain, with 138 publications, was the country with the highest scientific production registered in the name of authors affiliated with institutions in that country. The Area of Knowledge that made the greatest contribution to the construction of bibliographic material referring to the study of teaching and learning modalities in the ICT environment for higher education was Social Sciences with 526 published documents, and the Type of Publication most used during the period indicated above werethe Journal Articles with the 54% of total scientific production.
Which Governance Dimension Matters Most for FDI? A Comparative Analysis Between MENA and SSA Countries

This paper assesses the impact of governance on foreign investments for a sample of 18 MENA countries and 49 Sub-Saharan African countries. We intend to identify the main determinants of FDI inflows and to investigate the complementarity between the different governance proxies. Results relative to the control variables show that living standards are boosting FDI in MENA countries, while foreign investors are attracted by Sub-Saharan countries characterized by weak domestic industry, poor infrastructure, and low living standards. The SGMM results also reveal that government effectiveness is the indicator producing the most important effect on FDI. Political stability and the quality of the legal framework are also significantly enhancing foreign investments. Finally, estimation results suggest that political stability contributes to strengthen the impact of the other governance indicators on FDI for both subsamples, while regulatory quality represents a major weakness for SSA countries.
Teacher Education in India (Vedic to 1947): An Analysis

India has one of the oldest and largest systems of teacher education in the world. We are always interested to know about the history of teacher education in India. Teacher education in India has a strong historical perspective. It starts molding from the ancient education system and till the present system of education taking shape according to the global and local needs of the Indian society. In the ancient system of education pre Vedic education had a very prominent place in society. History of teacher education in India can be classified into two parts, one part was teacher education during pre independent India which starts from ancient education system of education till India got independent and other part was teacher education during post independent India that is after independent till present year. This paper also highlights the major milestones in the history of teacher education in India during pre independent only.
TRASH TALK: WHO USES WHICH REUSABLE PRODUCT? USER INSIGHTS AND DESIGN OPPORTUNITIES FOR SINGLE-USE ALTERNATIVES

Abstract Single-use products often end up in the environment as waste, threatening ecosystems and human life. This indicates a need to transition towards sustainable reuse routines. In this study, we investigate to what extent reusable products are already established in society and what design properties users require. We compare the results between user clusters and countries. To create a meaningful list of reusable products to investigate, we distinguish four categories based on typical barriers by means of focus groups (n=3) and interviews (n=32). Next, we did a survey (n=3000) in three countries (Belgium, Russia, U.S.) to define user clusters and investigate product usage and design requirements. Most established products are hard-material products such as lunch boxes, while intimate hygiene products, such as menstrual cups, are not established yet. Multifunctionality and compactness are the most indicated product requirements. There are significant differences between countries and clusters for both research questions. We conclude that different types of users have different needs: while a sharing system might work for one group, a customizable option would be more suitable for others.
A KNOWLEDGE GRAPH AND RULE BASED REASONING METHOD FOR EXTRACTING SAPPHIRE INFORMATION FROM TEXT

Abstract Representation of design information using causal ontologies is very effective for creative ideation in product design. Hence researchers created databases with models of engineering and biological systems using causal ontologies. Manually building many models using technical documents requires significant effort by specialists. Researchers worked on the automatic extraction of design information leveraging the computational techniques of Machine Learning. But these methods are data intensive, have manual touch points and have not yet reported the end-to-end performance of the process. In this paper, we present the results of a new method inspired by the cognitive process followed by specialists. This method uses the Knowledge Graph with Rule based reasoning for information extraction for the SAPPhIRE causality model from natural language texts. Unlike the supervised learning methods, this new method does not require data intensive modelling. We report the performance of the end-to-end information extraction process, which is found to be a promising alternative.
AUGMENTED REALITY APPLICATION FOR PULMONARY AUSCULTATION LEARNING AID

Abstract During some applied anatomy lessons, physiotherapist students must develop a skill of locating and recognizing underlying anatomical elements, from surface palpations, or through clinical tools on their classmates. For this, precise procedures exist and students have to mobilize knowledge acquired from different types of resources: support documents from the teacher, anatomical charts (books, drawings, diagrams), dissection videos or even internet resources. They also need more practical time and exercises. The issues facing students relate to the availability of these resources during the procedure, their relevance, the mobilisation of resources to practice and the applicability in a real situation. This project stems from a desire to make Augmented Reality technology available to students, to help in learning precise clinical procedure, in our case the location of the auscultation points using a stethoscope. The aim would be to supplement the real environment of the student during his learning on a person, by the possibilities of having additional resources according to its needs (auscultation points superimposed on a 3D representation of the lungs).
EMOTIONAL INTELLIGENCE AS A COMPONENT OF PROFESSIONAL COMPETENCE OF FUTURE TEACHERS-PSYCHOLOGISTS

In a complex society, where there is a chronic deterioration of emotional health, the problem of developing emotional intelligence of students in the direction 6B01101 "Pedagogy and Psychology" is relevant. The problem is caused by the contradiction between the predominance of the cognitive approach in the educational process of the university and the growing demand for knowledge and competencies related to emotional self-regulation. The article presents the materials of a study at the M. Kozybayev North Kazakhstan University, the purpose of which is to develop, justify and implement a program for the development of emotional intelligence of future teachers-psychologists. Following the methodology of scientific and pedagogical research, its methods such as review, analysis of world practice and benchmarking, pedagogical observation, questioning and experiment, control and measurement, allowed us to obtain a number of results. The results are related to: 1) the established influence of the proposed program on the coordinated and constructive development of students' emotional intelligence parameters, taking into account the peculiarities of professional and pedagogical formation; 2) the refinement of emotional intelligence resources for academic achievements and psychological well-being of students; 3) determination of the most effective strategies of emotional self-regulation in the environment of professional communication. The scientific novelty of the study is determined by clarifying the profile of the emotional intelligence of a university student and a future school psychologist, the features of the profile in the academic environment of socio-pedagogical collaboration, as well as in the school community. According to the results of the study, the conclusion is formulated: The development of the parameters of emotional intelligence is constructively coordinated with the formation of the professional competence of the teacher and involves the conscious and consistent application by self-controlled learners of emotional regulation strategies for pedagogical thinking and the building of personal and professional qualities.
SOCIAL QUALITY OF PERSONALITY AND ITS ROLE IN THE SOCIALIZATION INTENSIFICATION

Understanding the individual social quality cannot be limited only to the analysis of the specifics and structure of activity (goal, means, result, etc.). This clearly testifies in favor of the indisputable fact that needs determine activity and thereby directly affect the social quality of an individual. Needs not formally, not only as a source, but meaningfully, qualitatively determine the nature of the individual's activity. The need is the central determining link in the real subject activity of a person. Therefore, it is quite clear that one cannot consider the social quality of the individual without addressing such an important element as – the need.Considering the personality development determination, the problem of self-determination arises. In the process of development, at a certain stage, the individual begins to consciously organize his / her own life. So, a person begins to determine to a certain extent his / her development, in particular mental. The general system of determinants of personality development is becoming more complex: the number of its levels and measurements is increasing; the multiplicity of connections between causes, conditions, factors, prerequisites, etc. is increasing. At different stages of development, depending on the mass of circumstances, a certain measure of the ratio of social determination and self-determination is formed in a specific way in each individual.The current society changes at the modern stage of its development create new requirements for the system of education and upbringing of the younger generation. These changes are manifested in the paradigm of upbringing and education modification, in the shift of emphasis in public consciousness: the pupil from the object of pedagogical influences turns into a subject of his / her own development. The peculiarities of personality development as a biosocial entity are determined. It is important to understand the character, specifics of the social, what a person acquires in the process of involvement in the society and education life activities.From the point of view of its social essence, the social quality of the individual loses the resplendence of the external manifestation and is reduced to the main substantial properties. At the level of socio-pedagogical theory, it is necessary to identify such essential social formations, which internally united the set of social boundaries revealed during the personality study at the empirical level of research. The correlation between external and internal, understood as the action of external causes through internal conditions, removes the opposition of external social conditioning and internal spontaneous development in the problem of development. And also, it allows overcoming the dualism of biological and social. The social is not simply superimposed on the biological, but is the very nature of man. Human nature itself is a product of history.
The state of the art of diagnostic multiparty eye tracking in synchronous computer-mediated collaboration

In recent years, innovative multiparty eye tracking setups have been introduced to synchronously capture eye movements of multiple individuals engaged in computer-mediated collaboration. Despite its great potential for studying cognitive processes within groups, the method was primarily used as an interactive tool to enable and evaluate shared gaze visualizations in remote interaction. We conducted a systematic literature review to provide a comprehensive overview of what to consider when using multiparty eye tracking as a diagnostic method in experiments and how to process the collected data to compute and analyze group-level metrics. By synthesizing our findings in an integrative conceptual framework, we identified fundamental requirements for a meaningful implementation. In addition, we derived several implications for future research, as multiparty eye tracking was mainly used to study the correlation between joint attention and task performance in dyadic interaction. We found multidimensional recurrence quantification analysis, a novel method to quantify group-level dynamics in physiological data, to be a promising procedure for addressing some of the highlighted research gaps. In particular, the computation method enables scholars to investigate more complex cognitive processes within larger groups, as it scales up to multiple data streams.