Reviewerly/exHarmony huggingface dataset:
High Precision Method of Federated Learning Based on Cosine Similarity and Differential Privacy

Federated learning has emerged as an efficient way to exploit distributed data in recent years. It allows multiple client nodes to collaboratively train an optimized machine learning model without revealing the participants’ data. However, there are some shortcomings in the existing federated learning algorithms: the existence of poor quality nodes leads to undesirable effects on the overall gradient descent direction of the model. And the typical iterative training and noising way also make the privacy loss of the model reaches the privacy budget quickly. Hence, the model training may stop before convergence. In this paper, we propose a federated learning gradient adaptive aggregation method based on cosine similarity and a central node privacy protection method based on random differential privacy to solve the above-mentioned problems respectively. The proposed scheme was implemented on two public general datasets (MNIST and SVHN) and a medical dataset (UCI diabetes). Experimental results show that the federated learning adaptive method based on cosine similarity could effectively eliminate the negative influence of nodes with poor data quality on the overall model and maintain stable performance. The central node privacy protection method based on random differential privacy could also improve the performance of the training model under the same privacy budget and privacy loss threshold.
ANALYSIS OF CONCEPTUAL AND CATEGORICAL APPARATUS OF REHABILITATION TEACHERS TRAINING TO WORK IN INCLUSIVE EDUCATION

The article presents an attempt to specify conceptual and categorical apparatus of the study.Based on the analysis of the concepts 'disability ', 'incapacity to work', 'children's special needs', 'developmental impairment', 'maladaptation', 'children at risks group', 'problem children', 'children with anomalous development', 'disabled children', 'children with limited abilities', 'specific children', 'exceptional children' the terms 'children with special educational needs', 'inclusive teaching' have been defined more accurately.It has been proved that 'children with special educational needs' comprises children with developmental impairment that leads to limited abilities in their participation in a traditional educational process.It usually causes their special needs in specific pedagogical help that will overcome these limitations and obstacles.The article determines the conditions for successfully rehabilitation of children with special educational needs.Inclusive teaching means organization of specific conditions (individual curricula complex, complex of individual programs, training manuals, literature) and adequate external conditions (necessary comfort level, specific means of transportation and organization of adaptable studying room, distant educational instruments, innovative methods and information and communicative educational technologies) for children with special educational needs in order to adapt to their necessities.In order to explain the concept 'would-be rehabilitation teachers training to work in pupils' inclusive education at general educational establishments' the sense of the close terms have been revealed: 'corrective and pedagogical activity', 'rehabilitation and pedagogical activity'.Would-be rehabilitation teachers training to work in pupils' inclusive education at general educational establishments is a process of complex organization of teaching and educating impacts.They bring positive attitude to pedagogical profession, accomplishing the system of views, beliefs, theoretical knowledge and concepts on specific features of the pupils with special educational needs that are necessary for mastering modes and instruments to work with the pupils at inclusive education, as well as formation of certain personal qualities that provide stable motivation to the activity.
Advanced Quantum Poisson Solver in the NISQ era

The Poisson equation has many applications across the broad areas of science and engineering. Most quantum algorithms for the Poisson solver presented so far, either suffer from lack of accuracy and/or are limited to very small sizes of the problem, and thus have no practical usage. Here we present an advanced quantum algorithm for solving the Poisson equation with high accuracy and dynamically tunable problem size. After converting the Poisson equation to the linear systems through the finite difference method, we adopt the Harrow-Hassidim-Lloyd (HHL) algorithm as the basic framework. Particularly, in this work we present an advanced circuit that ensures the accuracy of the solution by implementing non-truncated eigenvalues through eigenvalue amplification as well as by increasing the accuracy of the controlled rotation angular coefficients, which are the critical factors in the HHL algorithm. We show that our algorithm not only increases the accuracy of the solutions, but also composes more practical and scalable circuits by dynamically controlling problem size in the NISQ devices. We present both simulated and experimental results, and discuss the sources of errors. Finally, we conclude that overall results on the quantum hardware are dominated by the error in the CNOT gates.
Optimizing complexity weight parameter of use case points estimation using particle swarm optimization

Among algorithmic-based frameworks for software development effort estimation, Use Case Points I s one of the most used. Use Case Points is a well-known estimation framework designed mainly for object-oriented projects. Use Case Points uses the use case complexity weight as its essential parameter. The parameter is calculated with the number of actors and transactions of the use case. Nevertheless, use case complexity weight is discontinuous, which can sometimes result in inaccurate measurements and abrupt classification of the use case. The objective of this work is to investigate the potential of integrating particle swarm optimization (PSO) with the Use Case Points framework. The optimizer algorithm is utilized to optimize the modified use case complexity weight parameter. We designed and conducted an experiment based on real-life data set from three software houses. The proposed model’s accuracy and performance evaluation metric is compared with other published results, which are standardized accuracy, effect size, mean balanced residual error, mean inverted balanced residual error, and mean absolute error. Moreover, the existing models as the benchmark are polynomial regression, multiple linear regression, weighted case-based reasoning with (PSO), fuzzy use case points, and standard Use Case Points. Experimental results show that the proposed model generates the best value of standardized accuracy of 99.27% and an effect size of 1.15 over the benchmark models. The results of our study are promising for researchers and practitioners because the proposed model is actually estimating, not guessing, and generating meaningful estimation with statistically and practically significant.
HUBUNGAN KECERDASAN EMOSIONAL DENGAN INTERAKSI SOSIAL SISWA KELAS V UPT SD INPRES 12/79 LONRAE KECAMATAN TANETE RIATTANG TIMUR KABUPATEN BONE

; This study uses a quantitative approach with the type of correlation which aims to determine the relationship of emotional intelligence with the social interaction in class V UPT SD Inpres 12/79 Lonrae Kecamatan Tanete Riattang Timur Kabupaten Bone. The population in this study were 48 students, namely class VA as many as 24 and class VB as many as 24, while the sample was the entire population of 48 students. The sampling technique used was saturated sampling technique. The research data were obtained by using a questionnaire. The data analysis technique was carried out by descriptive statistical analysis and inferential statistical analysis. Based on the results of descriptive statistical analysis, students' emotional intelligence has an average of 72.33 and a percentage of 79.34% in the good category and the students' social interactions have an average of 107.77 and a percentage of 79.79% in the very good category. Then, based on the results of inferential statistical analysis, the tcount (9.44498) is greater (&gt;) the ttable value (1.67866) at a significant level of 5%. Thus H0 is rejected and H1 is accepted. From the results of the study, it was concluded that there was a significant relationship of emotional intelligence with the social interaction in class V UPT SD Inpres 12/79 Lonrae Kecamatan Tanete Riattang Timur Kabupaten Bone.&#x0D;
Multifeature Fusion Tracking Algorithm Based on Self-Associative Memory Learning Mechanism

A multi-feature fusion tracking algorithm updated with a self-associative memory learning mechanism is proposed to address the problems of short-time disappearance, re-emergence of the target and instability of single features in the kernelized correlation filtering algorithm. When extracting features, directional gradient histogram features, color features, and scale invariant features are fused instead of single features to collect more features of the target and increase the feature robustness. In the detection stage, the bimodal detection is proposed to judge whether the target model needs updating. Bimodal detection is used to judge the maximum target response in the search domain and predict the location of the target in the next frame. The self-associative memory learning mechanism was added into the updating template, and the original algorithm framework was improved to cope with the change of target model. The new algorithm update is biogenic, can recover fragment information, deal with complex and changeable tracking situation. Simulation experiments were conducted on the OTB50, OTB100, and UAV123 video datasets for the classical and new algorithms. The simulation verified that the proposed tracking algorithm has a high success and accuracy rate, which has research value. The tracking success rate improved by 23.6% and the accuracy rate improved by 18.8%.
Pengembangan E-book Berbasis Problem Based Learning pada Materi Perubahan Lingkungan dan Daur Ulang Limbah untuk Siswa di MAN Karangasem

This research aims to find out the design, validity, and practicality of e-books based on problem-based learning as a teaching material for environmental change and waste recycling for grade X at MAN Karangasem. This type of research is research &amp; development (R&amp;D) using a 4-D development model which is modified into three stages, namely define, design, and develop. After the e-book was developed, then an assessment was carried out with validity tests by material experts and media experts and practicality tests by testing 3 students in grade X IPA 3 in an individual test, and 9 students from grade X IPA 3 in a small group test. The location of this research is at MAN Karangasem. The data obtained will be analyzed descriptively to determine the validity and practicality of PBL-based e-books. The results of this study indicate, (1) e-books based on PBL are designed in an attractive manner where the content of the material is adapted to PBL syntax, consisting of 3 sub-chapters, in each sub-chapter there are several interactive features and in accordance with the PBL syntax. PBL such as Bio-Earth News, Bio Let's Thinking, Bio MiniLab&amp;Activyty, Bio Anova, Bio Best Info and Bio Funzone, (2) the validity of e-books based on PBL is 91.9% which is included in the very feasible criteria, and (3) the practicality of e-books based on PBL of 90.5% are included in the very practical criteria. From the results of this study, it was concluded that the e-books based on PBL that was developed was very feasible and very practical as a teaching material on environmental change and waste recycling materials for grade X at MAN Karangasem.
The Effect of Psychology on Economic Change

The aim of this study is to investigate existing research ideas about the factors that contribute to positive psychology and their influence on economic transformation. We use Content Analysis to compile scientific papers from Emerald, Science Direct, Sciendo, and Korean science, as well as books produced by psychology and economics professionals. Adaptation, empowerment of human resources, a sense of hope, optimism, and fortitude are considered psychological assets that can be taken by workers when facing problems or obstacles in the workplace. Psychology also affects the economy of workers. In carrying out economic development, in this century there is a method called Information Economy. Information Communication Technology is driving this change process. The information economy emphasizes the importance of technological capital in humans. Changes in the Information Economy are largely determined by political influences (interests of state regulators) and financial factors (availability of the required volume of financial resources). The information economy can strike a balance in four main directions: The balance of infrastructure and its readiness for use in society and its impact on business; state regulation and market self-management; existing and new information; and external exchange of information. In building a balanced information economy, there are several obstacles, one of which is a resource deficit.
ANALISIS EMISI CO2 DI KAMPUS UIN SYARIF HIDAYATULLAH JAKARTA

The purpose of this study was to determine carbon dioxide (CO2) emissions generated by the population of the academic community (lecturers, employees and students) and motor vehicle transportation in the campus of UIN Syarif Hidayatullah Jakarta, which is located on Jalan Juanda as the study location because it is the center of the campus. The method used in this research is survey and calculation. The calculation results show that CO2 emissions produced by humans from all residents on campus 1 UIN Syarif Hidayatullah Jakarta, totaling 24,126 people, produce CO2 emissions of 3,136 kg/hour or equivalent to 25,091 kg/day or equivalent to 6,021,849 kg/year. Meanwhile, the amount of CO2 emissions from motor vehicles (cars and motorcycles) is 4299,121 kg/hour or the equivalent of 8,254.3 tons/year.
TD Pulse: Assessing the Systematic Management of Technical Debt

Technical debt (TD) requires the management of several technical and nontechnical aspects. Based on 10 years of research and practice, we have created an effective approach, TD Pulse, to assess TD management in large software companies and find critical improvement areas.
Pupils with SEND learn skills for digital careers

Special schools project gives young people opportunities to develop their practical skills and gain valuable work experience in exploring digital career paths
Fine-grained Image Classification using Convolutional Neural Network and Support Vector Machine

Although vast neural network models can classify images, sub-classification for each image class requires retraining the exisiting model with new fine-grained data, subject to high training cost and uncertain classification accuracy. To solve the aforementioned problems, a method using Convolution Neural Network and Support Vector Machine is proposed, where the former extracts general features from images for sub-classification while the latter categorizes these features. The method can be rapidly deployed in most Internet of Things systems to identify various targets; its effectiveness in reducing training cost and improving classification accuracy is verified through experiments.
Comparison of Online News Reader Behaviors in Different Cities

Reading the news from internet sites has become a common behavior. As a result, the internet news portals started to receive more traffic. The analysis of these readers' behavior is a difficult problem. However, internet provides the infrastructure to collect the required data. The behavior data of over one billion readers is obtained as a result. In this work, we analyzed the similarities and differences of the internet news readers from different cities based on the preferred news categories. The analysis indicates that the user behaviors in larger cities is different from the smaller cities. Moreover, the behaviors in smaller cities are also different from each other.
The Expert System For Diagnosing Lovebird Diseases By Algorithm Certainty Factor

This study aims to diagnose disease in lovebirds using the Certainty Factor Algorithm. Lovebird is a type of bird that is much favored by the public. Lovebird is known as a race bird that has a unique song. However, the lack of knowledge of treatment for lovebirds if they are sick. Therefore, an expert system was designed to diagnose lovebird disease with the Certainty Factor method. This expert system is expected to be used by bird lovers. Love Bird. This expert system is designed using the PHP programming language and MySQL database. The expert system created can make it easy for users to consult about lovebird diseases online. The research method used by the author is the waterfall method. The application of the Certainty Factor method in this Lovebird expert system can be used in determining Lovebird disease. So that this expert system can be used as a tool in diagnosing disease in Lovebird. The MySQL database can accommodate information and data from users who consult with this expert system. Based on the results of the tests that have been carried out, the expert system for diagnosing Lovebird disease can provide convenience for users to consult about Lovebird disease.
Analysis of Perishable Vendor Selection to Fulfill the Need of Production Department

Purpose: This research aims to know the main criteria in selecting perishable vendors for the production department needs at PT. Aerofood ACS, Denpasar.&#x0D; Design/methodology/approach: This study is a quantitative and qualitative research where its primary data col-lected through interviews, questionnaires, observations, and document studies. This study uses proportional random sampling method with the sample size of 30 respondents.&#x0D; Findings: The main criteria considered in the selection of perishable vendor to meet the needs of production department is quantity accuracy criteria with an average of 4.90 which was in very good intervals.&#x0D; Implications: The last criteria are delivery accuracy, service, quality, and the last is price.
Pengembangan Konten Digital Sebagai Upaya Peningkatan Literasi Masyarakat Jember Tentang Covid-19

The development of digital content on the CovidCare page is carried out as an effort to increase public awareness of Jember about Covid-19. Through the content on the CovidCare page, apart from making it easier for people to register as vaccination participants, it also makes it easier for health facilities to provide vaccination services. Digital content development is carried out through the stages of needs assessment, design, development, and implementation, as well as evaluation and revision.
قياس اللياقة الرقمية لدى طلبة الجامعة

The current research aims to identify the level of digital etiquette among students of the University of Al-Muthanna and to identify the differences in digital etiquette according to the variable (gender - academic specialization - academic stage), and the research sample consisted of (400) students from the University of Al-Muthanna For the morning study and for the academic year (2021-2022), the researchers built a digital etiquette scale and applied the tool to the research sample and analyzed the answers, and the research results revealed that the research sample individuals have a high level of digital etiquette and there are no statistically significant differences depending on the gender And the presence of statistically significant differences according to the variable of academic specialization and in favor of the scientific specialization at the expense of the humanitarian specialization, and the presence of statistically significant differences according to the variable of the study stage and in favor of the fourth stage at the expense of the second stage and in light of the results of the research, the researcher recommended a number of recommendations and suggestions.
Fabrication and optical characterization of erbium-doped silicon diode for quantum communication applications

Quantum Key Distribution allows two users to exchange secret keys and it is based on the transmission of single photons or attenuated laser pulses. Recently, sources based on multiple single-photon emitters were demonstrated to be suitable for QKD. Here, we present a CMOS compatible multiple single-photon emitters source realized on a SOI wafer by a standard silicon diode doped with erbium ions. Particular emphasis is placed on the fabrication of such a device enhancing the erbium electroluminescence signal by adopting a proper oxygen co-doping. Finally, electroluminescence characterization at room temperature of the device is presented.
The Legend of Archer : Role Playing Game Untuk Anak-Anak Berbasis Mobile

Game is a part of the entertainment that is made as attractive as possible and can be played using electronic media. The development of games in Indonesia has given rise to a new genre in the form of Role Playing games (RPG) which is currently very popular with children, where players play the role of characters in fictional settings. Currently, there are many games that are played by children, but not many provide knowledge about the hero characters of Indonesian puppet characters. This study aims to develop a mobile-based game about wayang characters, especially Arjuna characters who can train children's ability to solve problems, train creativity and form an unyielding optimistic attitude when completing all levels of The Legend Of Archer Game. This game development method uses stages starting from problem identification, data collection, data analysis, system design, system creation, implementation, and testing.
NoSQL Performance Analysis in Android Apps

Mobile development and infrastructure technologies today are changing so fast, that the previous developers' experience or a few years old documentation or references are no longer useful in the initial decisions developers should take when developing a new mobile application. In this paper we proposed a measurement setup for evaluation of database operations in different contexts (e.g, mobile data and Wi-Fi communication). We performed various measurement for NoSQL database operations in different data communication infrastructures and backend services.
Analisis Tingkat Literasi Siswa pada Implementasi Kurikulum Darurat pada Masa Pandemi Covid 19 di SD Negeri 03 Mantang

The purpose of this studt was to determine the level of study reading Literacy in the implementation of the emergency curriculum during the covid-19 pandemic, the method used by the research was a qualitative method. The subjects in this study were grade 3 SD Negeri 03 Mantang. The type of data used in this study was descriptive qualitative data. Data was collected using observation, interviews, and documentation. This study used data analysis techniques for the Miles and Huberman concept, which consisted of data reduction, data presentation, and conclusion drawing. The results obtained from this study were from 20 total students, only 1 student still had difficulty reading. Then there are 5 students in the medium category while the rest are in the category of being able to read well.