Reviewerly/exHarmony huggingface dataset:
Leveraging Vision-Language Pre-Trained Model and Contrastive Learning for Enhanced Multimodal Sentiment Analysis

Multimodal sentiment analysis is an essential area of research in artificial intelligence that combines multiple modes, such as text and image, to accurately assess sentiment. However, conventional approaches that rely on unimodal pre-trained models for feature extraction from each modality often overlook the intrinsic connections of semantic information between modalities. This limitation is attributed to their training on unimodal data, and necessitates the use of complex fusion mechanisms for sentiment analysis. In this study, we present a novel approach that combines a vision-language pre-trained model with a proposed multimodal contrastive learning method. Our approach harnesses the power of transfer learning by utilizing a vision-language pre-trained model to extract both visual and textual representations in a unified framework. We employ a Transformer architecture to integrate these representations, thereby enabling the capture of rich semantic information in image-text pairs. To further enhance the representation learning of these pairs, we introduce our proposed multimodal contrastive learning method, which leads to improved performance in sentiment analysis tasks. Our approach is evaluated through extensive experiments on two publicly accessible datasets, where we demonstrate its effectiveness. We achieve a significant improvement in sentiment analysis accuracy, indicating the superiority of our approach over existing techniques. These results highlight the potential of multimodal sentiment analysis and underscore the importance of considering the intrinsic semantic connections between modalities for accurate sentiment assessment.
Generalizable Automatic Short Answer Scoring via Prototypical Neural Network

We investigated the challenging task of generalizable automatic short answer scoring (ASAS), where a scoring model is tasked with generalizing to target domains (provided only with limited labeled data) that have no overlap with the auxiliary domains on which the model is trained. To address this, we introduced a framework based on Prototypical Neural Network (PNN). Specifically, for a target short answer instance whose score needs to be determined, the framework first calculates the distance between this target instance and each cluster of support instances (support instances are a set of labeled short answer instances that are grouped to different clusters according to their labels, i.e., the ground-truth scores). Then, it rates the target instance using the ground-truth score of the cluster that has the closest distance to the target instance. Through extensive empirical studies on an open-source ASAS dataset consisting of 10 different question prompts, we observed that the proposed approach consistently outperformed other baselines across settings concerning different numbers of support instances. We further observed that the proposed approach performed better when with wider training data sources than when with restricted data sources for training, showing that including more data sources for training may add to the generalizability of the proposed framework.
Balancing Test Accuracy and Security in Computerized Adaptive Testing

Computerized adaptive testing (CAT) is a form of personalized testing that accurately measures students' knowledge levels while reducing test length. Bilevel optimization-based CAT (BOBCAT) is a recent framework that learns a data-driven question selection algorithm to effectively reduce test length and improve test accuracy. However, it suffers from high question exposure and test overlap rates, which potentially affects test security. This paper introduces a constrained version of BOBCAT to address these problems by changing its optimization setup and enabling us to trade off test accuracy for question exposure and test overlap rates. We show that C-BOBCAT is effective through extensive experiments on two real-world adult testing datasets.
Completeness of Medical Record Documents for Inpatient Kidney Failure at the Hospital

Health service providers are required to record all services provided to patients in the form of a complete medical record file. Incomplete filling of medical records can lead to misinformation used by health professionals in providing services or treatment plans. This study aims to determine the completeness of medical record documents and the factors that cause incomplete medical record documents for kidney failure.This research is a literature study. The sample in this study were 5 journals related to the completeness of medical record documents for inpatient cases of kidney failure using purposive sampling technique. The instrument in this study used the google application. Processing of data by searching on the site, collecting overall journals, journal screening and extracting data based on inclusion criteria using the Systematic Literature Review (SLR) method. The analysis was carried out using data analysis techniques, namely quantitatively. The results of the study on the completeness of medical record documents for inpatient kidney failure based on a review of patient identification, the entire journal was incomplete, 100% incomplete, mostly on the name and age items. Review reporting there is 1 journal is 100% complete, 4 journals are not complete 100% incomplete mostly on date and time items, authentication review the entire journal is not complete. 100% of the incompleteness is found in the items of the doctor's name and the doctor's signature. The review of the recording of the entire journal is not complete. 100% of the incompleteness is on the item using the fixed line on the blank form. The factor of the incompleteness of the medical resume on the inpatient document is due to the lack of accuracy of the officers infilling, lack of discipline of officers, and the absence of a clear SOP. The conclusion of this study is that from 5 journals regarding the completeness of medical record documents in terms of reviews of identification, reporting, authentication and recording, it shows that medical record documents are 100% incomplete. This is due to the lack of accuracy of officers in filling it out, lack of discipline of officers, and the absence of clear SOPs.
Workshop creating references on the final project of stikes hang tuah pekanbaru students using mendeley application

Making or compiling a final project report has many issues, one of which students frequently complain about: compiling a bibliography. The workshop aimed to provide students with knowledge about citing and compiling an automatic bibliography, as well as to take advantage of one of the advancements in information technology that students could use to compile a bibliography or reference by using an application. The workshop was held online using the Google Meet platform and the Mendeley application to create a list of references. The workshop activity went smoothly without any major impediments, and the participants were 44 Fifth Semester Diploma Midwifery students. Measurement of the introduction of the Mendeley application prior to the workshop using the evaluation questionnaire revealed that 95.45% of participants did not know the Mendeley application at all, while 4.55% knew about it. The result of the evaluation questionnaire found that 70.45% of participants said that the Mendeley application was easy to use, and 29.55% said that it was difficult to use. 100% of participants would use the Mendeley application to prepare the final assignment report (LTA).
ANALISIS PENILAIAN DAN TANGGAPAN ALUMNI PERBANKAN SYARIAH PERIODE 2016-2018

The tracer study is a tracing study conducted for alumni of the Islamic Banking Department of the Islamic Faculty of UHAMKA who graduated in 2016, 2017, and 2018. Tracer Study is an important part of the existence of universities, especially the Sharia Banking study program in an effort to examine the links and matches of graduate quality in the world of work especially in Islamic banking financial institutions and non-banking Islamic financial institutions with learning services that have been provided during the study period in the Sharia Banking study program. The implementation of tracer studies in tertiary institutions is focused on tracking graduates in order to get feedback from the education/learning processes and services that have been carried out, both to alumni and users of graduates in society (stakeholders). Periodically, the UHAMKA Islamic Banking Study Program conducts a Tracer Study with the aim of improving the quality of learning services based on feedback from alumni and graduate users through this Tracer Study. The Tracer Study of the UHAMKA Islamic Banking Study Program was carried out for graduates in 2016, 2017, and 2018 starting from June to November 2020. The Tracer Study conducted at the UHAMKA Sharia Banking Study Program used the survey method for alumni who graduated two years ago and to the users. In-depth interviews were conducted with several alumni and selected graduate users to strengthen the findings of the tracer study for improving learning services in the UHAMKA Islamic Banking Study Program. The results show that the learning system implemented by the Sharia Banking Study Program can be said to be successful, it's just that the introduction of Al-Islam and Muhammadiyah has to be raised in the future. Data mining was carried out on an IT-based basis in order to reach all the targets of the Tracer Study targets.&#x0D; Keywords: Tracer Study, Islamic Banking, UHAMKA
Model Quantum Learning dalam Pembelajaran Bahasa Indonesia yang Nyaman dan Menyenangkan

This study aims to create comfortable and enjoyable learning Indonesian and improve learning achievement in class 1B MIN 2 Sleman. This research is class action research with research subjects of class 1B students at MIN 2 Sleman for the 2021/2022 academic year with a total of 28 students. Data collection was carried out using observation sheets, daily journals, unstructured interviews, and documentation. Data analysis was carried out in a qualitative descriptive manner. The results showed that the quantum learning model with the language game method is a learning method that can create a comfortable and enjoyable learning atmosphere, as evidenced by an increase in the results of observations of learning activities, namely in cycle 1 the percentage of comfortable and enjoyable learning reached a percentage of 68.40% while in cycle II it reached 79.15%. There has been an increase of 10.75% and can improve the learning achievement of class IB students where in the first cycle the average value of learning outcomes is 75, the second cycle the average value is 87.
Deep Learning-Based Technique for The Perception of The Cervical Cancer

In third-world countries, cervical cancer is the most prevalent and leading cause of death.It is affected by a variety of factors, including smoking, poor nutritional status, immunological inadequacy, and prolonged use of contraception.The Pap smear test, which is intended to prevent cervical cancer, finds preneoplastic changes in cervical epithelial cells.This study framework classified cervical cancer cells from Pap smears into five specified cell types using machine learningbased classification algorithms.The SIPaKMeD database is used in this investigation.This public dataset, which was manually cropped from 966 cluster cell images taken from Pap smear slides, has 4045 isolated Pap smear cells.Depending on their cellular form and structure, experts categorize the cells into five distinct types which are superficialintermediate, Parabasal, Koilocytotic, Dyskeratotic, and Metaplastic cells.Introducing a pipeline to improve algorithm accuracy and easy implementation by using a specified feature extractor and conducting a suitable preprocessing pipeline is the main contribution.The study reached the conclusion that machine learning could improve Pap smear screening classification results.We concluded that the support vector machine (SVM) is the most suitable algorithm for this application.The SVM has the highest accuracy of 0.968, the Neural Network (NN) at 0.958, and the (K-Nearest Neighbor) KNN at 0.941.These results support the proposed framework as a reliable classification diagnostic tool.
Improving English Speaking Ability Using Quantum Teaching Approach at Student Grade XI MAK of Ruhul Islam Anak Bangsa Islamic Boarding School

This study aims to improve students' speaking abilities at the Ruhul Islam Anak Bangsa Islamic Boarding School in Aceh Besar through the Quantum Teaching approach. The research design was carried out in the form of classroom action research for 38 students of grade XI MAK. In this research, the teacher became a collaborator who carried out learning designed by researchers to be implemented in the classroom, and the researcher was an observer and fully responsible for this action research. The data in this research was collected through observation techniques on the students involved in learning. The obtained data were then analyzed using the average formula to measure individual student mastery. Meanwhile, data to see mastery in a classical manner was processed using the percentage formula. The research results show that the Quantum Teaching approach improves students' speaking skills. It can be seen from the average speaking skill of grade IX MAK students in Ruhul Islam Anak Bangsa Islamic Boarding School increased; in cycle I to 2.78, cycle II to 2.91, and cycle III to 3.45. Furthermore, the researcher or other teachers are expected to continue this research to obtain more significant findings on improving students' speaking skills.
Retracted: Processing Decision Tree Data Using Internet of Things (IoT) and Artificial Intelligence Technologies with Special Reference to Medical Application

[This retracts the article DOI: 10.1155/2022/8626234.].
Mengukur Tingkat Kapabilitas Tata Kelola Teknologi Informasi di Universitas Pasundan Bandung

&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; The purpose of Pasundan University Bandung (UNPAS) in organizing good information technology governance is to form an agency called SPTIK (Information and Communication Technology Management Unit) in which there are various services, one of which is the online New Student Admission (PMB) service. The initial stage in measuring the level of capability of online PMB services is to study the UNPAS SPTIK document and other supporting documents related to PMB services, make observations on PMB activities, determine questions that will be used as a reference in determining the capability value and determine expert respondents to be interviewed. The results of the interview were processed using COBIT 5 as a guideline to measure the level of PMB service capability and resulted in an online PMB service capability level of 21% and is at level 1 in the sense that there is some evidence of attribute achievement in the process assessment, but some aspects of the assessment of attribute achievement may not be known to be true. In addition, the results of analysis and recommendations are made as a reference in improving the performance of these services.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
FORMATION OF SELF-EDUCATION OF TEACHERS OF HIGHER EDUCATION INSTITUTIONS IN THE FIELD OF PHYSICAL EDUCATION FOR PROFESSIONAL ACTIVITY IN THE CONDITIONS OF DISTANCE LEARNING

Consideration of the issue of self-education of higher education teachers is due to the requests of higher professional education systems regarding the training of highly qualified personnel in the professional field, the need for specialists in personal and professional growth and self-development. The article substantiates the need for self-education of teachers of higher education institutions, especially in the conditions of distance learning, defines the essence of self-education of teachers and their readiness for self-education, the technology of organizing self-education. On the basis of an empirical study, using a questionnaire, the level of readiness of teachers of higher education institutions for self-educational activities for the period before and after the introduction of quarantine restrictions and the transition to distance learning of students was revealed. The organizational and pedagogical conditions of readiness for self-educational activity, which formed the basis of the proposed practical recommendations, are highlighted. Improving the level of professional competence of teachers is one of the main directions of reforming the education system. The main form of improving the level of professional competence of higher education teachers is professional self-development through purposeful self-educational activities. Modern pedagogy requires highly qualified specialists who are able to creatively approach the organization of the educational process and achieve high-quality results. The duties of teachers include constantly improving their own professional level and pedagogical skills, ensuring the scientific-theoretical and methodical quality of teaching the discipline within the framework of the specialty education program, etc. Self-education becomes the main way of developing professional competence, which is the most complete mastering, updating, increasing and deepening of knowledge, generalization of pedagogical experience with the help of self-development activities and personal improvement. With this ability of higher education teachers to obtain additional pedagogical knowledge, abilities, skills and contribute not only to their self-realization in both personal and professional activities, but also to the quality training of students. Key words: self-education, self-educational activity, teacher of a higher education institution, readiness for self-education, distance learning.
INCLUSIVE EDUCATION: CONCEPT, NEED, SCOPE AND DESIGNS

Inclusive education means that students should be provided with meaningful education in an optimum environment so that they can make their life successful. It is an education system that ensures that every student gets a quality education without any barriers to ability, physical disability, language, culture, family background and age. The need of inclusive education is necessary in every country because the child takes education in general with the help of inclusive education. Designs of inclusive education the proper system of teaching learning process is mandatory for it. A system which is useful for all the students and can maximize their potential.
Readiness of Grade 9 and 10 Students of San Felipe Neri Catholic School in Choosing their Strand for Senior High School

The decision-making of the grade 9 and 10 students remains unaltered without being affected by the influence of others. Using a quantitative method approach, the research revealed the top four findings of the readiness of Grade 9 and 10 students of San Felipe Neri Catholic School in choosing their strand for senior high school. They are (1) peer influence, (2) course-related, (3) personal interest, and (4) skills related to the preferred program. The results of the study show that the first findings that ranked the highest are course-related, and peer influence ranked the least. The overall readiness of the students in choosing their strand is 3.92, with a standard deviation of 0.12. The result also explained that they can make their own decisions according to their own capacities and skills. The action plan of the researchers is to introduced the targets and goals to prepare the students for decision-making about their strand. And also to have a plan to help the students make their thoughtful choices regarding their education and career path by taking into consideration their skills and interests as well as seeking possibilities that can be offered to them and recommending actions to the students to have a clear understanding, have a realistic plan, monitor their progress, and lastly, support and encourage the students.
THE POSITIONS OF DOMESTIC SCIENTISTS ON THE PROBLEM OF PROFESSIONAL SELF- DETERMINATION AS AN IMPORTANT STAGE IN THE DEVELOPMENT OF A FUTURE SPECIALIST

In the article, the author characterizes the issue of professional self-determination, outlining it as an important psychological and pedagogical problem, covering the process of becoming a specialist and his socialization, during which the future specialist acquires readiness for independent, creative professional activity based on awareness and subjective correlation of social requirements with their own potential (analysis of their internal resources) and existing abilities, a set of internal conditions, acquiring the ability to independently make decisions about important professional goals that make sense both for the subject himself and for society. The author reveals the essential characteristics of the phenomenon of «professional self-determination of the individual» from the point of view of domestic researchers. Activity, the ability to make independent choices, and the appropriate level of responsibility are among the most important constants of a specialist's self-determination. The scientist focuses on the directions, approaches and concepts of the development of the mentioned problem: professional orientation, personal activity and holistic approaches; socio-psychological direction; the concept of systemogenesis of professional activity and others. The author proves that in the course of an individual's life path, there is a direct dependence of professional self-determination on the level of maturity of a person, on the nature and methods of identification of the individual in relation to the profession. The researcher emphasizes the importance of the problem of self-determination in the process of becoming a specialist, where he notes the basic principles of professional self-determination of future specialists in the process of their professional training; proves that the presented process of professional development of the individual has specific properties, and the formation of professional self-determination is the primary basis and guarantee of the effectiveness of further professional development of the future specialist.
PROVIDING INCLUSIVE LEARNING AT HIGHER SCHOOL

Providing inclusive learning at higher school is fulfilled on the basis of using specialized infrastructure, pedagogical practice and pedagogical workers’ effective work. An important direction of the study in the academic paper is the analysis of the key principles of forming inclusive learning at higher school using the experience of developed countries and its implementation in pedagogical practice. The issue of ensuring inclusive education is an urgent one for the social policy of any country, as it plays a significant role in ensuring the development of human capital and promoting demographic policy. The purpose of the present academic paper is to analyze the features of organizing inclusive learning at higher school. The state policy for inclusive education formation should include several measures aimed at improving the educational environment, training highly qualified pedagogical workers and a number of tools used during the educational process. The academic paper studies the key principles of organizing inclusive learning and the basis for its further development. Particular attention is paid to the issue of using the means of organizing inclusive education aimed at developing emotional and academic intelligence. The scientific article outlines the basic principles of establishing inclusive education and opportunities for improving the implementation quality. The research results indicate the necessity to improve the state social policy, the introduction of innovative infrastructure and specialized means used to improve the quality of inclusive education. The obtained results can be used for modern higher schools in order to ensure an effective educational process.