Reviewerly/exHarmony huggingface dataset:
Group Equivariant U-Net for the Semantic Segmentation of SAR Images

Semantic segmentation is one of the most important steps in the analysis and interpretation of SAR images. Recently, deep segmentation networks have attracted attention because of their powerful feature extraction and classification ability. However, SAR image semantic segmentation is still a challenging task due to the lack of labeled samples for these networks. In this study, group equivariant U-Net is proposed to overcome this problem. It is aimed with the proposed method to obtain a natural generalization of U-Net without needing a data augmentation process by exploiting larger groups of symmetries, including rotation and reflections. The experiments conducted on real SAR images show that superior semantic segmentation results have been obtained with the proposed method compared to widely used alternatives.
Ideological and political blending teaching reform of Petrochemical Technology

The teaching content and process of Petrochemical Technology were reconstructed based on the demand of petrochemical industry. The ideological and political contents permeation and methods, the reform of ideological and political evaluation and the educational effect of the course were introduced. The professional ethics of engineer was paid attention to cultivated and “The Spirit of Westward Migration” of university was publicized during the process of teaching. The feedback from students' questionnaires showed that 82% of students thought that the “critical thinking ability” of them had been improved. Students' classroom participation rate had increased to 100%, and the excellent rate of academic performance had increased by 32% (score > 80 points).
Reconsideration of the recursive processing model in the problem formulation and solving processes

In this study, we identified human cognitive processing in the problem formulation and solving process. In previous studies, this was a unidirectional process. Herein, we propose a model to realistically explain the recursion in the process of problem formulation and solving. Applying this model to real cases is a topic for future research.
THE EFFECTIVENESS OF MY POCKETBOOK TO IMPROVING WRITING SKILLS OF INTEGRATED ISLAMIC ELEMENTARY SCHOOLS CHILDREN IN YOGYAKARTA

This research is based on the problem of students' writing skills in elementary schools which are still very low. This research aims to determine the effectiveness of "my pocketbook" in improving the writing skills of children of Integrated Islamic elementary school in Yogyakarta. This research uses a quasi-experimental design with pretest and postest group design. The samples were used with the technique of simple random sampling. This research analyzed 30 students from one of the elementary schools in the Sanden District as the samples of the study due to limited time and research costs. The data collection technique used by researchers is observation. The results of the conducted research were analyzed using the T test in SPSS 21 software base observation. The result of the research shows that the hypothesis is accepted. In other words, "my pocketbook" is effective of Sig. (2-tailed) that is 0.00 improve the writing skills of the student at Integrated Islamic elementary schools in Yogyakarta. It can be seen from the result of Sig. (2-tailed) that is 0.00. The less than 0.05 result indicates that the hypothesis is accepted. The research concludes that my pocketbook is effective for improving the writing skills of the children of integrated Islamic elementary schools in Yogyakarta. The results of this study are expected to be an alternative media in training students' writing skills as well as being a reference for future research.
STUDI EFEKTIVITAS PEMBELAJARAN ONLINE MELALUI APLIKASI ZOOM CLOUD MEETING TERHADAP HASIL BELAJAR SISWA

THE EFFECT OF VOCABULARY MASTERY ON ESSAY WRITING SKILLS DESCRIPTIONOnline learning is a combination of learning that continues with the seperation between teacher and learners and their learning using learnin resources through technology and communication and other media. Long-distance education is know as e-learning and as for this research, it focuses on problem that result from students’ learning in online learnig and aimed at learning how effective long-distance learnig can be. And the methods used library research and can be decoded online learnig through Zoom make learning effective, because of the many supporting features it provides duringteh Covid-19 pandemic.
EFEKTIVITAS PEMBELAJARAN DARING MENGGUNAKAN MULTIMEDIA SELAMA PANDEMI COVID-19 PADA MATA PELAJARAN BAHASA INDONESIA BAGI SISWA SMPN 3 KOTA BOGOR

.
The Influence of Internal Marketing Practices in the Banking Sector: A Systematic Review Approach

This article aims to establish the literature trends on internal marketing in the banking sector from 2012 to 2021.The main objective of this endeavor was to shed light on the influence of internal marketing practices on bank employees' job satisfaction.Our systematic review analysis of 6,223 published articles from the Scopus database yielded the top ten cited articles, as well as overall trends, theoretical frameworks, research methodologies, and potential constructs directly connected to internal marketing and the banking sector.Finally, we develop two practical implications for senior organizational managers to redesign their relationship with employees via internal marketing practices that enhance employees' job satisfaction through consideration of organizational culture and learning.
E-learning Gate of Success in Crisis: Iraqi Universities

The article shows intensively how the Iraqi universities struggled and exceeded successfully and academically through the academic years from 2019 to 2022 and still strive to cope with the Coronavirus pandemic crisis. More than 100 Iraqi universities in which approximately 50,000 academics and 800,000 students started to study every year periodically during the Corona pandemic via e-learning and connected respectively with the ministry of Iraqi higher education (IHE) to drive the new trail with e-education from the homes and have never stopped. In spite of Iraqi universities having weaknesses in infrastructures for e-learning, the majority of universities work and fully invest in e-platforms ( MOOC) like Google classroom, Coursera and high support of social media, consequently best criteria for academic and students that have been accomplished via e-exams and study. Regulations of public health and the ministry of Iraqi health created a crucial decision to convert toward e-learning as a gate of success in crisis to do e-exams and manage the mechanism of education because it was difficult to return the Iraqi universities to their ordinary exams and began training committees on e-exams and e- procedures to success the e-education in whole universities of Iraq, especially higher education. This paper showed the results IHE relates to applying high standards in e-education during the academic years from 2019 to 2022 in the coronavirus pandemic crisis. In this respect, the Iraqi universities present strong evidence to prepare and accomplish a roadmap to implement blended learning through successful e-learning in the current time and in the future toward lifelong in universities of Iraq.
Action and Assembly Time Measurement System of Industry Workers using Jetson Nano

In this work, conducted by three partners, called UFAM/CETELI, Envision (TPV Group) and ICTS, we present an embedded system capable of recognizing actions and measuring the assembly time of human workers on an industrial production line. The system is composed of machine learning algorithms and the embedded platform NVIDIA Jetson Nano. In terms of performance, the system achieved rates (best case) 91%.
Automatic Video Labeling with Assembly Actions of Workers on a Production Line Using ResNet

In this work, conducted by two partners, called UFAM/CETELI and, Envision (TPV Group), we present a method of automatic labeling of frames of worker's actions in factory environments using a model generated by a residual neural network. With this approach we used some manually labeled frames to training a model that provide the label of 4 classes of actions. We achieve accuracy rate over 96%, which give reliability to a supervised training of 3D dataset of actions.
Influence of Cyber-security Problems in Digital Assessment on Students’ Assessment Outcome: Lecturers’ Perspective

The increasing use and continuing growth of e-Learning systems has been documented by abundant studies but, little attention has been given to the cyber-security issues in digital-assessment. In fact, there are dearth of studies on research and education about lecturers’ perspective towards the influence of cyber-security problems in digital-assessment on assessment outcome. The current investigation targeted this research gap. Thus, a descriptive survey research was conducted with 200 lecturers purposively drawn from education discipline of government owned degree awarding tertiary institutions in Anambra state, Nigeria. Instrument used for data collection was an 8-item questionnaire developed by the researchers. Descriptive as well as inferential statistics were applied in the data analysis to answer one research question and two hypotheses. Analysis was by SPSS version-23. A p-value ≤0.05 was taken as significant. The results from this study revealed that cyber-security problems in digital assessment mars negatively on students’ assessment outcome. There were significant differences on lecturers’ perspective on the influence of security problems in digital-assessment on students’ assessment outcome based on level and cadre but not on gender. Cyber-security problems in digital assessment mars negatively on students’ assessment outcome and it was significantly influenced by academic level and cadre. Further research is needed to check the consistency of findings and to identify whether the relationship is causal.
Psychological and Pedagogical Support Forthe Moral Upbringing of Preschool Children: An Innovative View

This article presents the psychological position of applying the method of children's game inclusion in practice into educational moral situations.The essence lies in the inclusion of preschoolers into educational moral situations using dolls-"moral guides".The use of such puppetry in the preschool children's moral education is conditioned by the age peculiarities and possibilities of children's moral development (division is performed according to age groups).A number of accompanying methods are also singled out, which create an integral methodical toolkit that stimulates the formation of a preschooler's moral consciousness.
Students’ Online Experiences in Online Collaborative Writing with Focus on Language Rules

Collaborative works among pairs, groups or one pair with another pair are favoured to accomplish, particularly in writing tasks. Students cannot undertake collaborative revision face-to-face during classroom instruction in EFL writing during the pandemic. Therefore, online collaborative revision has become a practical solution, especially in the context of EFL writing classes. This study aims to apprehend students' experience in online collaborative writing revision in the L2 writing context, focusing on language rules. This study employed qualitative research with a narrative inquiry as a research design. A proportionate interview with probability sampling is used as the main instrument to collect data from the EFL students at the Department of Teacher Training and Education, Universitas Lancang Kuning. Five students from the seventh semester who had taken an argumentative writing class were chosen as the participant. The findings reveals, through experiencing online collaborative writing revision, students were knowledgeable and well-improved in revising their writings, particularly on language rules. The analysis showed the students managed to share multiple perspectives on how they are experiencing the online collaborative writing revision. In conclusion, online collaborative writing revision helps students with their writing revision through the feedback they obtain during the activities in the class and makes them have an exceeding writing performance. The expected contribution from this research is to gain an exceeding description of students' needs in implementing online collaborative writing revision.
The modern methods of familiarizing of the older preschool age children with the professons of adults

International scientific conference «The role of psychology and pedagogy in the spiritual development of modern society» : conference proceedings, July 30–31, 2022. Riga, Latvia : «Baltija Publishing», 2022. 363 pages.
Analysis of Students’ Digital Accessibility in Terms of Use of Technology and Obstacles Faced in Learning Biology

The need for labor in the future has more complex criteria than what is needed today. The increasing complexity of these criteria is due to technological advances which are increasingly shifting the position of humans at work. Technology has advantages and stability and can predict the results obtained. So it is essential for everyone to prepare for the increasingly fierce competition in the world of work. One of the efforts made is to familiarize students with technology at school. However, this needs to be supported by the availability of facilities and infrastructure as well as the ability of students to adapt. So this study aims to capture the digital accessibility of students in terms of the factors and obstacles they face in using technology. These data were obtained by applying the survey method to 41 students at SMA Bandung City. In this study, the data were analyzed quantitatively and represented in the form of diagrams. The results of data analysis show that students have adequate digital accessibility. This is indicated by their readiness and independence in learning technology as an additional learning resource. However, the biggest obstacle students face is the lack of stability in the internet network. So that it interferes with the learning process.
Knowledge Management In Instiki E-Learning To Increase Student Learning Satisfaction

Purpose: The use of the concept of knowledge management can manage the knowledge of the teacher or lecturer and then it can be conveyed to the studentsDesign/methodology/approach: Knowledge Management SystemFindings/result: The application of the Knowledge Management System at the INSTIKI LMS was able to increase student learning satisfaction. The results of the questionnaire assessment show that student learning satisfaction increases after implementing INSTIKI e-learning, the average value of studentOriginality/value/state of the art: Implementation of Knowledge Management System on INSTIKI campus
Imagination as a necessary condition for human activity

International scientific conference «The role of psychology and pedagogy in the spiritual development of modern society» : conference proceedings, July 30–31, 2022. Riga, Latvia : «Baltija Publishing», 2022. 363 pages.
Theoretical analysis of the psychological concept of self-preservation behavior among specialists in extreme types of activities

International scientific conference «The role of psychology and pedagogy in the spiritual development of modern society» : conference proceedings, July 30–31, 2022. Riga, Latvia : «Baltija Publishing», 2022. 363 pages.
Psychologial teatures of musical activity of a musician-performer of the department specialized piano

International scientific conference «The role of psychology and pedagogy in the spiritual development of modern society» : conference proceedings, July 30–31, 2022. Riga, Latvia : «Baltija Publishing», 2022. 363 pages.
An Extensive Review on Contemporary Analysis of Comment Filtration of YouTube Videos Using Machine Learning Techniques

Recently, social media platforms like LinkedIn, Twitter, Facebook, YouTube, etc., are immensely popular, especially in the pandemic era. This is because they provide connection and interaction between people by posting images, comments, or videos.YouTube has become a very popular video-sharing platform, and because of this, it has also attracted several types of spammers or malicious users whose aim is to distribute viruses or promote their videos. Spammers also want to spread phishing, malware, or advertisements in the comment section of the videos. Spam is generally related to unsought content or irrelevant comments with low-grade information. They are usually found as images, texts, or videos, clogging the visualization of interesting content. Users spend a lot of time eradicating spam since it causes a variety of issues that could lead to traffic and financial losses. To filter spam, several techniques have been developed. Automatic comment spam filtering on YouTube is not a simple task even for well-known classification methods since comments are very short and often contain slang, symbols and abbreviations. However, typical machine learning classification algorithms have been confirmed to be fairly effective, but there is still space for improved accuracy with new methods. In this paper, we will evaluate several topperformance classification techniques (such as Naive Bayes, Random Forest, and Support Vector Machine) of Machine Learning classification algorithms to detect such comments as spam or ham with the help of text classification, feature extraction and text pre-processing. It will work after posting the comments. This paper provides a comparative analysis of various ML techniques implemented by various researchers and authors in their work. The dataset would be used with reference to the UCI machine learning repository for future implementations of this related work.
Establishment and Operation of Jeju Island Fishermen’s Associations during the Japanese Colonial Era

This study examines the establishment and operation of Jeju Island fishermen’s associations during the Japanese colonial era. Fishermen’s associations began to be established under the Joseon Fishery Ordinance and the Fishermen’s Associations Rule promulgated by the Japanese Government General of Korea in 1912, and the number of fishermen’s associations had since increased to approximately 200 by 1942.&#x0D; The first fishermen’s association established in Jeju Island is Woljeong-ri Fishermen’s Association in Woljeong-ri, Gujwa-myeon in 1916. The association was founded by Park Seong-il and other villagers as the anchovy fishery in Woljeong-ri had the largest catch in Jeju Island. Later, the Chuja-do Fishermen’s Association was established in 1919; the Jeju Island Haenyeo’s Association in 1920; and the Seogwi Fishermen’s Association in 1925. The 1929 promulgation of the Joseon Fishery Ordinance led to the establishment of myeon-unit fishermen’s associations in Jeju Island in the 1930s.&#x0D; Members of fishermen’s associations in Jeju Island protested against the tyranny of fishermen’s associations, as seen in the 1926 uprising by fishermen from the Chuja-do Fishermen’s Association and the 1932 anti-Japanese movement by haenyeo from the Jeju Island Fishermen’s Association. The study on Jeju Island fishermen’s associations will provide an opportunity to learn about the modern history of Jeju Island through fishermen’s associations.
Supervised learning through k-nearest neighbor, used in the prediction of university teaching performance

This study initially seeks to identify the most optimal supervised learning algorithm to be used in predicting the perception of teacher performance, and then to evaluate its performance indicators that validate its predictive capacity. For this, the Matlab R2021a software is used; the experimental results determine that the supervised learning algorithm K-Nearest Neighbor Weighted (Weighted KNN) will be correct in 98.10% in predicting the perception of teaching performance, this has been validated by carrying out two evaluations through its performance indicators obtained in the confusion matrix and the receiver operating characteristic (ROC) curve, in the first evaluation an average sensitivity of 97.9%, a specificity of 99.1%, an accuracy of 98.8% and a precision of 96.7% are observed, thus validating the ability of the Weighted KNN model to correctly predict the perception of teacher performance; while in the receiver operating characteristic (ROC) curve, values of the area under the curve (AUC) equal to 0.99 and 1 are obtained, with this it is possible to validate the capacity that the model will have to distinguish between the 4 classes of the perception of the university teaching performance.
DESIGN OF THE INTERACTIVE ILLUSTRATION BOOK “LET'S PLAY HIDE AND SEEK” FOR CHILDREN AGED 3+

This interactive illustration book “Let’s Play Hide and Seek” is in the form of stories with animals characters in the book that can attract children's attention and also teaches them to recognize the animals in this illustration book. The research method that the author uses in this study is using qualitative methods with survey or questionnaire data collection methods, literature studies and interviews. The author will distribute questionnaires to research respondents, especially the child's parents or relatives who are older than the child and ask them to fill out the questionnaire. The design of the interactive illustration book “Let’s Play Hide and Seek” for children aged 3 years above was made with the aim of the author being able to make books that can attract children's interest in reading from an early age and entertain children aged 3 years above who read this book while strengthening interactions between children. parent and child so that they become closer when they read this book together.
Predicting Cardiovascular Disease in Psychiatric Patients: Machine Learning with Electronic Health Records

Introduction Cardiovascular disease (CVD) causes staggering losses in quality adjusted life years worldwide. 1 Among patients in the Danish psychiatric hospital setting, heart disease is associated with a decrease in life expectancy of 5.1 years. 2 The causes underlying this association are likely manifold. For example, severe mental illness is associated with unhealthy lifestyle. 3 Furthermore, psychiatrists may focus predominantly on the treatment of mental illness and have less emphasis on detection and prevention of physical illness. 4 If patients at elevated risk of CVD are pointed out automatically, this may lead to better preventive medicine. Objectives To predict which patients develop cardiovascular disease using machine learning. Methods We obtained data on all psychiatric hospital contacts in the Central Denmark Region since the initiation of the current EHR system (MidtEPJ). These span from 2011 to 2021 and cover 120,000 patients, of which 3,000 patients developed severe CVD (stroke or coronary event) follow-up. We will train a variety of models (random forests, SVM, deep neural nets) to predict CVD within one year from a planned contact to hospital. Results The modelling is currently underway, intermediary results are expected in January. Conclusions We explore whether predicting CVD is feasible using state-of-the-art technologies and a uniquely detailed dataset. This may pave the way for machine learning to act as a clinical support decision system, since we’re only training on data that is available in a live, clinical context. References 1: Khan 2019 2: Erlangsen 2017 3: Scott 2011 4: Fagiolini 2009 Disclosure No significant relationships.
Earth science for a sustainable world: Earth Science Week 2022

Geoscientists tackle many of humanity's most challenging problems such as managing urbanization, securing safe water, and protecting against natural disasters. They also apply geoscience in ways that support sustainability. To help raise awareness of these dynamics, geoscientists are invited to volunteer for the 25 th Annual Earth Science Week to be held 10–16 October.