Reviewerly/exHarmony huggingface dataset:
Implementation Expert System for Diagnosing Tuberculosis Using Dempster-Shafer Method

Tuberculosis (pulmonary TB) is still a frightening disease for the world community, especially in Indonesia. This expert system application for the diagnosis of Tuberculosis is a computerized system to assist doctors and the public in diagnosing Tuberculosis. Efforts that can be made are to provide the best information to patients or the public about Tuberculosis disease through consultation with experts or using expert system applications. So for this reason, an application is designed that can provide expert information about Tuberculosis as a substitute for an expert or doctor. The purpose of this research is to build a web-based expert system for the diagnosis of tuberculosis. The stages carried out in this research are preliminary studies, identification of problems in which problems are found in expertise or designing an expert system, then literature study, the process of diagnosing symptoms and diseases by collecting data, if fulfilled then proceed with making a rule base and designing system. After completion, proceed to the testing and implementation phase to find out the system is feasible to use and in accordance with the design, then evaluate the results and report and finish. Based on the results of research and testing of the implementation of an expert system for diagnosing tuberculosis using the web-based Dempster-Shafer method that has been carried out by the author, several conclusions can be drawn, namely; This expert system created successfully performs data processing and provides disease results from the selected symptoms using the Dempster-Shafer method, the application is built using the PHP programming language and is supported by visualization languages ​​such as HTML, CSS, JQuery and MySQL as databases, as well as system applications. Experts who are built can make it easier for people with tuberculosis and health parties to diagnose using the Dempster-Shafer method.
The Current Situation and Some Solutions to Improve the Quality of Education Socialization in Vietnam Today

In Vietnam, the socialization of education was officially introduced and implemented from the Government’s Resolution No. 90-CP dated August 21, 1997 on the direction and policy of socializing education and health activities, culture. The socialization of education is a major policy of our Party and State. Initially, certain results have been achieved in mobilizing social resources to meet the increasing needs of all classes of people. In this article, the author focuses on clarifying the status of socialization of education along with clarifying the advantages and limitations in the work of educational socialization in recent years, thereby proposing solutions to improve the socialization of education. The role of educational socialization contributes to the cause of industrialization and modernization of the country
Characterization of Biodegradable Composites from Polypropylene, Polypropylene Grafted Maleic Anhydride, and Durian Seed Starch

The characterization of biodegradable composite from durian seed starch that is mixed polypropylene, and polypropylene grafted maleic anhydride has been done. The stages of this preparation were, the first had prepared durian seed starch, the second had the process of grafting maleic anhydride into polypropylene and the third had made of composite with the composition of PP:PP-g-MA: DSS (7:0.5:0.2); (7:0.5:0.3); (7:0.5:0.4); (7:0.5:0.5); (7:0.5:0.6) (w/w). The biodegradable composites obtained were characterized by tensile strength, surface morphology analysis by SEM, differential thermal analysis (DTA), analysis in nature with the ability to decompose biodegradable test, and functional groups analysis by FTIR spectroscopy. The results showed that the biodegradable composites have the best properties in the ratio of PP:PP-g-MA: DSS was (7:0.5:0.5) (w/w) with the test results of tensile stress is 12.556 N/m2, and the elongation is 8.600%, the images on a few flat surfaces and improved homogeneity, temperature change, and strong group interactions as well as having good biodegradable properties.
Spectrum Sensing Based on Federated Learning with Value Evaluation Mechanism

In the Internet of things (IoT), the extensive use of IoT devices makes the problem of spectrum sharing among devices increasingly prominent. Spectrum sensing is very significant to promote spectrum efficiency in IoT. However, due to network security and industry privacy issues, it is difficult to obtain large-scale data sets needed for spectrum sensing. Therefore, federated learning (FL) is an effective technique to solve the problems that may be encountered in the establishment of data sets and the problem of data leakage. In this paper, FL is utilized to study the problem of spectrum sensing, and a value evaluation mechanism of IoT devices is proposed to improve the performance of FL and resist poisoning attacks. Simulation shows that the proposed value evaluation mechanism can make the global model of FL converge more quickly and stably, and at the same time it is almost unaffected by malicious nodes when poisoning attacks occur.
The Decision Support System in Determining Students Who Commit Violations Using Simple Additive Weighting (SAW) Method at SMA N 6 South Bengkulu

School is an academic institution with the main task of providing education and developing science, technology, and art. The purpose of education is not only to develop knowledge, but also to form personality, independence, social skills, and good character. Therefore, various programs are designed and implemented to realize these educational goals, especially in the context of character building by making a school code of conduct, but it is possible for students to often violate the rules of school discipline, so a decision maker application is needed. to determine students who commit violations and will be given guidance by applying the Simple Additive Weighting (SAW) method. The application used was Visual Studio 2010 programming language and the research method used in this study is the waterfall method. The waterfall method is able to analyze the needs that are needed to find out the weaknesses of the old system, then make a design from the design and proceed with making a new system design. The result of the research is a decision support system based on the calculation data of SAW method, 30 students who commit violations will produce 3 students who get the highest violation scores so that coaching will be carried out.
A Literature Survey of Human Activity Recognition Using Deep Learning and Nonparametric Model with Some Exchanges in Karl Popper’s Viewpoint and Kuhn’s Paradigm in Philosophy of Science

Human skeletal detection and human gesture recognition are interesting subjects that have been investigated during the past three decades. Single-RGB, RGB-D camera, and Initial Measurement Unit (IMU) are some of the sensors for recording human motion data. Numerous methods for gesture recognition and classification have been reviewed in this survey. The classification is divided into nonparametric models and deep learning models, which afterwards will be compared in terms of accuracy and running time, respectively. The feature extractions are separated based on features processed from the sensor data, including skeleton-based features, depth image-based features, and hybrid features. A comparison of accuracy values will be offered based on the model and its attributes. In addition, we present an interchange of perspectives on deep learning and nonparametric models based on Karl Popper’s perspective and Kuhn’s paradigm in the study of the philosophy of science. By substituting the falsification principle for induction, Popper attempts to refute the traditional empiricist perspective of the scientific method. From the philosophy of science’s perspective, the study on human action recognition is in the normal science phase according to Kuhn’s paradigm and is corroborated in accordance with Popper’s theory.
Uzamsal Alanda Bir Kripto-Stegano Hibrit Uygulama

The need for data security in communication is increasing with the developing&#x0D; technology. The best way to ensure data security is cryptography. Humanity has&#x0D; proposed many cryptography methods for hundreds of years. Today, there are&#x0D; complex cryptography algorithms, which are quite secure but require high processing&#x0D; power. Cryptography techniques used in the past are less secure but require less&#x0D; processing power. This article proposes an extended version of the Vigenère cipher,&#x0D; which is an ancient encryption method. Extended Vigenère cipher is able to encrypt&#x0D; upper and lower case letters, numeric characters, and punctuation marks. In addition,&#x0D; the method can use upper and lower case letters, numeric characters and punctuation&#x0D; marks as encryption key, and there is no key length limit. The cipher text generated&#x0D; with the extended Vigenère cipher is also hidden in an image to keep it safe in the&#x0D; transmission medium. Hiding is performed with LSB steganography, which is&#x0D; another data security method. Thus, both the readability and detectability of&#x0D; confidential data are reduced. The cryptological security of the proposed method is&#x0D; measured by the Avalanche effect. Steganographic safety is evaluated with SSIM&#x0D; and PSNR measurements. A user graphical interface has been developed and the&#x0D; maximum payload of the carrier image is measured before encryption. Proposed&#x0D; method applied on some test images with different specifications. 1 bit key&#x0D; modification avalanche effect results of proposed method with random plain texts&#x0D; between 1000-10000 characters with a key length of 8 and 16 characters is close to&#x0D; 50%. Also, SSIM value calculated over 0.99 each time while maximum&#x0D; steganographic payload of the test images reached.
Critical Reading Skills in Writing Scientific Papers containing the 21st Century Skills

It is important to construct critical reading skills into the writing scientific papers process for students.It aims to strengthen the process and results of scientific writing so that the results are more profound.Therefore, this research was aims to reveal the basic concepts of critical reading in writing scientific papers for students and the relation between critical reading and the 21 st Century skills in writing scientific papers for students.The method used in this study is a critical analysis method through the following stages: (1) formulating research questions and hypotheses, (2) sampling the selected data sources, (3) making categories used in the analysis, (4) collecting the data on a sample of documents that have been selected and coding, (5) making scales and items based on certain criteria to collect the data, ( 6) interpreting the data obtained, and ( 7) conclusions.The results of the analysis found about two main things.First, critical reading skills have a strong influence on article writing skills, especially in the process of finding ideas and ideas, paragraph development, description analysis, content analysis, research results development, and concluding.Secondly, critical reading skills cannot be separated from the 21 st century skills, namely critical thinking and problem solving skills, creativity and innovation, collaboration, and communication.
Oral Reading Development of Grade Two Learners of Nug-as Elementary School amidst Covid-19 Pandemic

The study focuses on the oral development of the learners in a public school in elementary amidst covid-19 pandemic. The experimental group, 29 pupil-participants from public elementary school in Nug-as Alcoy Cebu were chosen as the study subjects for this qualitative research which were selected using random sampling approach. This study utilized the descriptive-correlational design employing the qualitative approach. Moreover, the research instrument used in the study is research made questionnaire and the Early Grade Reading Assessment Toolkit pretest result for the school year 2022-2023. The study revealed that the covid -19 pandemic affected education in many ways. There were many factors affecting the oral development of the learners during the pandemic. The oral reading skills of the primary grades specifically in grade 2 is estimated to be lower than in typical years and will fall farther behind if no action is taken. However, utilizing a proper intervention can be instrumental in improving pupils’ reading skill. The study recommends that the government should prioritize solutions to minimize learning losses especially in uplifting the reading skills of the primary grades. Doing so helps save the future of the students as well as to continue learning in a purposeful and meaningful way.
Contrastive fine-tuning to improve generalization in deep NER

A novel algorithm of two-stage fine-tuning of a BERT-based language model for more effective named entity recognition is proposed. The first stage is based on training BERT as a Siamese network using a special contrastive loss function, and the second stage consists of fine-tuning the NER as a "traditional" sequence tagger. Inclusion of the contrastive first stage makes it possible to construct a high-level feature space at the output of BERT with more compact representations of different named entity classes. Experiments have shown that this fine-tuning scheme improves the generalization ability of named entity recognition models fine-tuned from various pre-trained BERT models. The source code is available under an Apache 2.0 license and hosted on GitHub https://github.com/ bond005/runne_contrastive_ner
Impetus, Policies and Education Law of School-Enterprise Cooperation in Vocational Education in China

Vocational education school-enterprise cooperation is a cooperative activity between vocational colleges and enterprises to improve the quality and efficiency of vocational school education or vocational training in terms of joint training, cooperative research, building institutions together and sharing resources. With the joint efforts of relevant stakeholders such as governments at all levels, various types of schools and enterprises, the system and mechanism of vocational education school-enterprise cooperation in China have made continuous breakthroughs and innovations. However, the effect of vocational education school-enterprise cooperation needs to be further improved. This paper analyzes the impetus of school-enterprise cooperation in vocational education in China and introduces the policy and legal system of school-enterprise cooperation. Suggestions for implementing school-enterprise cooperation are given. The analysis shows that there is uncertainty about the costs, benefits and risks of enterprises' participation in school-enterprise cooperation. It should start from strengthening the system of school-enterprise cooperation.
ON THE POTENTIALITIES OF POETICS IN INFORMATION CULTURE (TO THE CENTENARY OF Iu. N. CHUMAKOV)

Today, in the context of information culture, the skill of linear unfolding of meaning, formed by Gutenbergian culture, is replaced by multidirectional comprehension of the volumetric semantic environment of the digital space, where the fundamental opposition of ideal versus real is gradually eliminated. The laws of poetics might become a model for the prospective emergence of such an environment, same as the laws of nature are used to create manmade material environments.
Studentsʼ Experience of Studying Arts and Social Sciences Content at a Distance

In the delivery of music, visual arts and social sciences content, educational strategies are constantly changing and improving, which was especially evident during the COVID-19 epidemic. Students in higher education faced new challenges in these areas, too. In the qualitative study, 129 students of Primary School Teaching and Preschool Teaching study programs at the Faculty of Education of University of Primorska completed the online questionnaire. For the purposes of this paper, we analyzed their answers to three open-ended questions in order to find out their opinions on studying arts and social sciences at a distance. We found out that the participants faced different challenges in the implementation of the distance learning process, mainly due to different conditions for the implementation of distance learning obligations and different ICT competencies of all involved in the study process. The conducted research will help to improve the study process in case it goes online again.
Peningkatan Kemampuan Siswa dalam Memahami Teks Narrative dengan menggunakan Metode Pembelajaran Role Play pada Siswa Kelas XI IBB di MAN 4 Kediri Semester Genap Tahun Pelajaran 2021/2022

One of the appropriate methods to improve students' abilities is the role play learning method. In improving students' ability to understand students' narrative texts, appropriate learning methods are needed. One of the appropriate methods to improve students' abilities is the role play learning method. The purpose of this study was to analyze the improvement of students' ability in understanding narrative texts using the Role Play Learning Method in Class XI IBB Students in the Even Semester of the 2021/2022 Academic Year. The method used to conduct the research is Classroom Action Research (CAR). The approach used is a qualitative approach. The data collection procedure is the test method. From the test method obtained data in the form of student learning scores which are then used for hypothesis testing. The results of this study are the application of the role play learning method can improve students' ability to understand narrative texts for Class XI IBB students, this can be seen from the students' test scores in the initial test activity from 73.07 increased to 78.20 in cycle 1, and in cycle II increased again to 85. Thus, the role play learning method applied to students can improve students' ability to understand narrative texts for students in Class XI IBB Even Semester in the 2021/2022 Academic Year.
Learning Mergers &amp; Acquisitions: Blockchain

The Mergers &amp; Acquisitions process are characterized by the fact that companies rely so much on attorneys, external deal advisors, auditors, tax consultants and other sorts of professional intermediaries. This results in both, high costs and considerable time expenditure. The lengthy and cost-intensive process makes it particularly difficult for enterprises to profit from any Mergers &amp; Acquisitions transactions. In However, with the advent of Cryptocurrencies, Initial Coin Offerings, and Blockchain implementation, Blockchain and Machine-Learning as technology can be used across the whole bandwidth of the Mergers &amp; Acquisition process, from letters of intent, asset to equity sales, through all stages of the due diligence into post-transactions integration. In this article, the researcher will explore and further elaborate on the comprehensive Mergers &amp; Acquisitions process within the Blockchain.
Aplikasi Diagnosa Epliepsi dengan Metode Certainty Factor pada Rumah Sakit Umum Daerah Kota Pinang

In the development of computer technology, computer technology has become an inherent part of human life when it comes to solving a more complex problem in various areas, including education, health, etc. One of the applications of information technology in the health field is an expert system for the identification of epilepsy. An expert system is a computer system that wants to replicate the decision making ability of an expert in all aspects. Epilepsy is the second most common neurological disorder in humans following stroke. The shortage of epilepsy specialists and the lack of tools to deal with epilepsy requires a system that can help the problem in the form of an expert system using certainty factor method to ensure that there are no misdiagnosis and to assist doctors in diagnosing epilepsy in patients quickly. As a research type, explanatory research is used using primary and secondary data types, the data collection method used is the method of interviewing and literature studies and the method of certainty factor with front chain reasoning techniques. This application requires data on disease symptoms, certainty factors of expert value and certainty factors of patients to get a confidence level for epilepsy diagnosis. Based on the results of the study, it can be concluded that the system is capable of providing confidence values, can diagnose epilepsy based on the symptoms entered by the user, and can provide a solution for epilepsy.
Classification of hazards. Point of view

The classification of hazards is a necessity determined by the origin and the multitude of phenomena and processes approached in the study of risks, as well as by their location. The classification of hazards is very difficult due to the complexity of the underlying phenomena and the relationships at the level of geosystems. As a result, the first part of the paper analyses in detail the criteria for classifying hazards (genetic, typological phenomena, spatial, temporal, mode of manifestation, impact, effects produced, etc.), which allow the delimitation of types and subtypes. In the second part of the paper, starting from the mentioned criteria, we proceed to the classification of hazards.
Empirical Models for the Evaluation of Global Solar Radiation for the Site of Abeche in the Province of Ouadda&amp;#239;, in Chad

The global sustainability plan for future development relies on solar radiation which is the main source of renewable energy.Thus, this work studies the performance of six models to estimate global solar radiation on a horizontal surface for the Abeche site in Chad.The data used in this work were collected at the General Directorate of National Meteorology of Chad.The reliability and accuracy of different models for estimating global solar radiation were validated by statistical indicators to identify the most accurate model.The results show that among all the models, the Sabbagh model has the best performance in estimating the global solar radiation.The average is 6.354 kWh/m 2 with an average of -3.704%.This model is validated against NASA data which is widely used.