Reviewerly/exHarmony huggingface dataset:
Software Testing Integration-Based Model (I-BM) Framework for Recognizing Measure Fault Output Accuracy Using Machine Learning Approach

In software development, the software testing phase is an important process in determining the quality level of the software. Software testing is a process of executing a program aimed at finding errors in module access, units, and involves the execution of the system being tested on a number of test inputs, and determining whether the output produced is correct. In this study, a model-based testing (MBT) called integration-based model (I-BM) framework will be developed. This I-BM framework integrates testing variables from several software testing methods, namely black-box testing, white-box testing, unit testing, system testing, and acceptance testing. The integrated variables are function, interface, structure, performance, requirement, documentation, positives, and negatives. Then, this framework will document software errors to form a dataset, which will be measured for the level of accuracy of expected manual fault output using neural network algorithm and support vector machine. From the experiment results, it shows that the accuracy level of predicting fault output values from the I-BM framework using the neural network algorithm is on average 80%, and it produces a superior SVM architecture model in predicting I-BM framework output errors with an accuracy value of 0.99, precision of 0.99, recall of 0.99, and [Formula: see text]-score of 0.99. Compared to other MBT, the IBM framework has the advantage of being a more comprehensive software testing model because it starts from the identification of problems, analysis, design, documentation of software testing, and recommendations for each fault output found. Thus, software errors can be classified systematically in the form of a dataset, and not only focus on software testing for product lines and module mappings.
Google Sites as ICT Learning in Indonesia: The Benefits and Implementation

Various information and communication technology products began to be widely implemented in school learning. Elementary and junior high school development is a great time to teach technology. One of the popular ICT learning products is Google Sites. Through a literature study, this study aims to collect, observe, and categorize data on using Google Sites for learning in schools. We collected 85 literature sources from national and international articles to find data on the benefits and implementation of Google Sites as ICT learning. Based on the analysis and literature study results above, it can be concluded that the use of ICT by schools in Indonesia is mostly used as a learning management system. The benefits of using Google Sites as a web-based ICT for Learning are categorized into 3, namely: technical benefits, benefits for teachers, and benefits for students. Google Sites as ICT learning can be implemented to develop learning media, counseling service activities, language learning, and online library services. The results of the literature analysis show that schools in Indonesia use Google Sites more as a learning medium than other activities. Nonetheless, Google Sites is a new challenge for teachers to continue to improve their skills in operating technology to improve students’ digital literacy.&#x0D; Keywords: Google sites, ICT learning, elementary school, junior High School, learning media
Quantum compiling with a variational instruction set for accurate and fast quantum computing

The quantum instruction set (QIS) is defined as the quantum gates that are physically realizable by controlling the qubits in quantum hardware. Compiling quantum circuits into the product of the gates in a properly defined QIS is a fundamental step in quantum computing. We here propose the quantum variational instruction set (QuVIS) formed by flexibly designed multiqubit gates for higher speed and accuracy of quantum computing. The controlling of qubits for realizing the gates in a QuVIS is variationally achieved using the fine-grained time optimization algorithm. Significant reductions in both the error accumulation and time cost are demonstrated in realizing the swaps of multiple qubits and quantum Fourier transformations, compared with the compiling by a standard QIS such as the quantum microinstruction set (QuMIS, formed by several one- and two-qubit gates including one-qubit rotations and controlled-not gates). With the same requirement on quantum hardware, the time cost for QuVIS is reduced to less than one-half of that for QuMIS. Simultaneously, the error is suppressed algebraically as the depth of the compiled circuit is reduced. As a general compiling approach with high flexibility and efficiency, QuVIS can be defined for different quantum circuits and be adapted to the quantum hardware with different interactions.
Revisiting the formation of universal competencies of foreign students

Foreign citizens study at Russian universities according to educational programs in accordance with the Federal State Educational Standard, designed for pre-university training of Russian citizens. This is especially evident in the formation of universal competencies (UC). The identification and search for the solution to the problems that arise in this case determine the relevance of the research. We set a goal to determine how significant the differences were between the content of pre-university Russian and foreign education, which is necessary for the formation of UC-11 – citizenship and UC-9 associated with it – inclusive culture, using the method of comparative analysis. Documents on foreign education served as the material.When developing an educational program in terms of the formation of UC-11, universities take into account continuity with the general educational subject of social science, which Russian students study at a basic or advanced level. In this regard, the content of foreign education was assessed from the standpoint of the presence of the disciplines of the subject area «Social sciences». The analysis carried out showed their complete or partial absence in pre-university foreign education. Meanwhile, it turned out that the inclusive position of many foreign students, unlike Russian students, was practically formed. Thus, the university needs to develop individual educational programs for foreign students, providing for the expansion of the list of variable and optional disciplines, changing the ratio of contact work with a teacher and student’s independent work. The optimal form remains the previous or parallel development of a specially designed additional educational program.
Content Development of Comprehensive Practical Courses Based on the Concept of Core Literacy

Based on the standards of Core Literacy for Chinese Students to develop and Guidelines for Comprehensive Practical Activity Curriculum in Primary and Secondary Schools, the "Thematic Comprehensive Activity" curriculum of a primary school in Chengde City was developed and studied with core literacy as the main line of the activity and "small agronomist" as the theme of the activity.
Talking about the Present Situation, Problems and Strategies of Information Technology in the Integration of Mathematical Modeling Courses

With the development of information age in China, information technology has been widely used in mathematics education and teaching.According to the High School Mathematics Curriculum Standards (2017 Edition) issued in 2018, China's emphasis on mathematical modeling has been further enhanced, and the core quality of mathematical modeling has become one of the six core qualities.This paper analyzes the current situation and problems of the integration of information technology and mathematical modeling courses, and finally gives some strategies, hoping to have some guiding significance in the future mathematical education and teaching.Mathematical modeling course is a highly practical course, which can help us use mathematical knowledge to solve problems about politics, economy, science, engineering and other applications; On the contrary, with the development of economy and the progress of science, we can better establish mathematical models, and then use certain information technology to improve the mathematical models.It can be seen that the application of information technology can enrich the content of mathematical modeling course.The core of information technology is computer, communication and the product of the combination of the two --network [1].To sum up, information technology is closely related to mathematical modeling courses.In the post epidemic era, information technology has always existed around our lives.No matter where we go or what we do, it is impossible to do without it.In school education and teaching, information technology is also indispensable.The traditional teaching methods in the past can no longer meet today's social environment and curriculum content, and many courses need to be taught by information technology.The integration of information technology and mathematical modeling course teaching is both a change and an innovation [2].1.
Research on Supervision System of Power Safety Tools and Equipment Based on Internet of Things Technology

A power-system protection device built using Internet-of-Things (IoT) technologies in an intelligent environment. IoT supports electrical and physical parameters monitoring. One of the characteristics that must be checked is electricity usage from electronic gadgets. It is a complex problem to design energy-efficient IoT methods. IoT gets more complicated because of its vast size, and current wireless sensor network approaches cannot be used directly to IoT. Information gathering on the area is monitored by intelligent cellular terminals, intelligent security tools, and other multi-source sensing equipment. That is the foundation for the combined analysis and evaluation of security risk extensive data by cloud computing and edge computing. The IoT-based Power safety tools management (IoT-PSTM) system has been developed to integrate it into intelligent settings, such as smart homes or smart cities, to safeguard electrical equipment. It is meant to increase power security by quickly disconnecting in failure events such as leaking current. The system allows for real-time monitoring and alerting of events using a sophisticated data-concentration architecture communication interface. The goal is to progress and merge several technologies technically and integrate them into a personal safety system to increase security, preserve their availability, eliminate mistakes, and reduce the time required for scheduled or ad hoc interventions. Real-time data transmission, instant data processing from diverse sources, local intelligence in low-power embedded systems, interaction with many on-site users, sophisticated user interfaces, portability, and wearability are the main difficulties for the research project. This article offers a comprehensive explanation of the design and execution of the proposed system and the test findings. The results denote the higher performance of the suggested IoT-PSTM system with IoT module and enhanced performance of 94.7%.
Hearing from the Forgotten Victims: A Content Analysis of the Consequences of Bernard L. Madoff’s Ponzi Scheme

Bernard Madoff’s Ponzi scheme may be one of the most famous in history. The victims included over 15,000 parties. Roughly 130 elected to share their stories in court by filing victim impact statements. In the current study, we performed a content analysis that explored the consequences of victimization as reported in Madoff’s victim impact statements. We found that the consequences of Ponzi scheme victimization included financial, mental or emotional, interpersonal, physical, life trajectory, and a change in trust in the government. The findings indicate that victims would be better served by having quicker responses from the government after victimization. They also benefit from being included in all phases of criminal proceedings.
ASSESSMENT OF THE EFFECTIVENESS OF RAPID ANTIGEN TESTING AT POINTS OF ENTRY; PAKISTAN COVID-19 POINT OF ENTRY (POE) ANALYSIS

Intro:Leptospirosis is an emerging zoonosis with a global health concern.In Malaysia, leptospirosis incidence remains significant, since its first gazettement as a compulsorily notifiable disease in 2010.However, the prevalence of this disease among local forensic cases is unknown.Therefore, the present study aimed to determine the frequency of human leptospirosis among post-mortem specimens.Methods: Archived forensic specimens referred to the Institute for Medical Research (IMR), Malaysia between January 2020 and December 2021 were retrieved.DNA from the specimens were extracted using an automated MagNA Pure 96 instrument and subjected to in-house qPCR targeting LipL32 gene and 16S rRNA gene of the pathogenic group of Leptospira spp.Amplification of RNaseP gene was included as internal amplification control (IAC).Findings: A total of 408 forensic specimens from 365 patients were received during the study period.Majority of the specimens were blood ( n = 195, 47.8%), followed by tissue ( n = 136, 33.3%) and liver ( n = 59, 14.5%).Of the tested specimens, 2.2% ( n = 9) were positive for leptospiral DNA.These positive specimens belonged to 9 different patients, of which the vast majority were male ( n = 8, 88.9%), with an average age of 37.5 years. Conclusion:Albeit low detection of leptospiral DNA among forensic specimens in Malaysia, this study highlighted that majority of the positive patients were males of productive age.
The Impacts of Home Visits on Students in Learning English during the Pandemic

The government has taken policy by circular letter number 4 2020 about the implementation of educational policies in the emergency period of the Covid-19. It means all of the learning processes are conducted from home or it called distance learning (PJJ). Unfortunately, not all school can implement online learning due to internet connection limitation. SMP Negeri 3 Totikum, Banggai Kepulauan is one of an example. The school that did not have an internet connection conducted the learning process by distributing modules and apply self-study to all the students. This causes the learning motivation of students were decrease. In learning activities, motivation is needed to improve students' enthusiasm for learning so that learning activities can run well. This research aims to highlightthe impact of home visits on students’ motivation of the Eighth Grade of SMP Negeri 3 Totikum in learning English during Pandemic Covid-19. This research method used qualitative approach. The data collection was processed by questionnaire. The result show that almost students the Eighth grade of SMP Negeri 3 Totikum were strongly and agree with that statements that shows the indicators of motivation. In conclusion,home visit can give impact on students’ motivation in learning English, specially in the school or area that did not have an internet connection
Balancing AI-Based Geostatistical Optimization and Fuzzy Inference by Game Theory Bargaining to Improve a Groundwater Monitoring Network

An artificial intelligence-based geostatistical optimization model is developed for upgrading a test aquifer's existing groundwater monitoring network. A preliminary study of the aquifer revealed that a Multi-Layer Perceptron Artificial Neural Network (MLP-ANN) could more accurately determine aquifer water table elevations than geostatistical kriging, spline functions, and inverse distance weighting. Because kriging has been standardly used in that area for water surface estimation, the demonstrated model uses a deep learning ANN to guide kriging and Simple Genetic Algorithm (SGA) optimization to determine the candidate locations of new monitoring wells that will most improve the accuracy of kriged basin-scale water table estimates. To enhance utility of proposed network change(s) the model incorporates a monitoring network expert’s judgement via fuzzy inference. The model’s first phase has two parallel processes: a) for a range of new well numbers, the SGA determines the location of new wells that would minimize the squared difference between the kriged, and MLP-ANN estimated heads; b) a FIS describes a monitoring network expert's satisfaction with the number of new wells and the assumed unit well installation costs of the new wells. The second phase employs symmetric bargaining (Nash, Kalai-Smorodinsky, and area monotonic) and presents an upgrade strategy that reflects the best combination of professional judgment and heuristic optimization. The results showed that by adding three wells to the network in optimal locations, both accuracy and Satisfaction Of the Expert are equally achieved.
Medical image denoising: A brief analysis

An image is nothing but a pictorial representation of an object.Image without any disturbance or noise is generally best suitable for use.But if the image is corrupted with noise then that is of no value.So denoise is a kind of concept which is taken into consideration to remove noise.In this paper, I have reviewed some of the papers in the field of denoising particularly in the field of medical technologies.There are abundant number of papers released in this area.Some are having some advantages and some disadvantages.Ultimate approach of image denoising is that, we need to denoise the image in such a way so that features of images like edges, corners and other valuable features would not be removed.The ultimate aim of researchers is to get the true image from the denoised image with the probability of success as 1.Hence,this paper is not only meant for reviewing the papers based on denosing techniques but also provides a future direction to extend for further research in this area of medical image denosing.
A remote sensing image rotation object detection approach for real-time environmental monitoring

For the problems of resources and environment faced in sustainable development, the use of remote sensing image object detection technology is an effective means to detect and analyze this major problem. Aiming at the problems of low accuracy and slow detection speed of existing remote sensing image rotation object detection algorithms implemented based on Transformer, a remote sensing image rotation object detection method based on dynamic position information Transformer is proposed. Firstly, to improve the detection accuracy, the cross-attention operation of the decoder is improved, and the obtained results are iteratively updated with the position information of the object queries and used as the initial object queries for the next decoder; secondly, to improve the robustness of the network for remote sensing image object detection, the data processing method of image pyramid is designed; Finally, a rotating IoU matching loss function more suitable for oriented object detection is introduced to improve the accuracy of matching the predicted boxed to the true boxed. The detection algorithm proposed in this paper is experimentally verified on DOTA and SSDD datasets, and the average detection accuracy is 73.70% and 90.3%, respectively, which effectively improves the average detection accuracy of Transformer-based rotating object detection algorithm in aerial remote sensing images and has better real-time detection performance.
Aplikasi Sistem Pakar Mendiagnosa Penyakit Degenerasi Macula Menggunakan Metode Certainty Factor Berbasis Web

An expert system is a system that seeks to adopt human knowledge into computers that are designed to represent the ability to solve problems like an expert. This system helps all people solve their problems or just look for quality information that can only be obtained with a dedicated expert. This study describes how the Expert System diagnoses Macular Degeneration using the Certainty Factor method. This method obtained the possible disturbances value experienced by the community. This Expert System program is implemented in the PHP programming language where MySQL as the database. As the result, this system is easy to use (user-friendly) and easy to develop and useful for those who want to know about Macular Degeneration.
The Multicultural Teaching Concept in the Piano Curriculum of Universities

In a multicultural society, multicultural education is essential as it helps students better understand and respect people from different cultural backgrounds, and promotes cross-cultural communication and understanding.Piano is an important musical instrument and a popular one among many people.In universities, piano courses are also very popular.However, there are still some issues with the current piano curriculum, such as the lack of multicultural education content and understanding of the needs of students from diverse cultural backgrounds.The main purpose of this paper is to explore the importance of multicultural education in university piano courses and propose corresponding improvement strategies.Through analyzing the current situation of piano curriculum in universities, this paper aims to provide insights for multicultural education in university piano courses and provide reference and inspiration for the reform and development of piano education in universities. The definition and characteristics of multicultural teaching philosophyMulticulturalism is mainly people's cognition and analysis of different cultures.In the current context of global economic integration, the cultures of different countries are integrated with each other, which makes the culture show diversified development. [1]Multicultural teaching philosophy refers to incorporating and respecting different cultural backgrounds, races, genders, religious beliefs, languages, ages, and disabilities in the teaching process, promoting the cultivation of students' multicultural awareness and cross-cultural communication and understanding.The characteristics of multicultural teaching include respecting multicultural backgrounds, identifying students' multicultural identities, focusing on students' individualization and diversity, centering on students, emphasizing student participation and interaction, encouraging students to express different viewpoints and opinions, creating a multicultural teaching environment, providing opportunities for cross-cultural communication, and paying attention to multicultural educational content, including history, culture, art, and other aspects.Respect and address individual differences among students.The concept of multicultural education emphasizes the differences between students of different cultural backgrounds, which may manifest in their ways of thinking, learning habits, language expressions, and social interactions.Therefore, multicultural education encourages teachers to respect and address the individual differences among students, develop personalized teaching plans based on their unique