Reviewerly/exHarmony huggingface dataset:
Towards a Blockchain-based Medical Test Results Management System

The role of test results in the diagnosis and treatment of patients' diseases at medical facilities cannot be ignored.Patients must have a series of tests that are related to their symptoms.This can be repeated as many times as possible, depending on the type of disease and treatment.Seriously, in the cases where the patients lose their medical test record (i.e., patient's medical history), the diagnosis is difficult due to the lack of information about the medical history as well as the symptoms/complications in the previous treatments.Storing this treatment information in medical centers can address risks related to user failure (e.g., loss of medical test records and wet/fire documents).However, users face a bit of difficulty when they change to other medical centers for medical examination and treatment since the data is stored locally, and difficult to share this with others.Current solutions focus on empowering users (i.e., patients) to share medical information related to disease treatment.However, the main barrier to these approaches is the knowledge of the users.They must embrace some background in terms of the technologies, risks, and rights they may share with treatment facilities.To solve this problem, we propose a Blockchain-based medical test result management system where all information is stored and verified by the stakeholder.The data will be stored decentralized and updated throughout the treatment process.We implement a proof-of-concept based on the Hyperledger Fabric platform.To demonstrate the effectiveness of the proposed system, we conduct evaluation methods based on three main tasks of the system: initializing, accessing, and updating data on six different scenarios (i.e., increasing in size of processing requests).The evaluation based on Hyperledger Caliper helped us to have a deeper analysis of the proposed model.
Student Career Recommendation System Using Content-Based Filtering Method

The most frequent difficulty that graduates face is finding a suitable profession. Finding a job after graduation might be challenging for students who are unsure about their future goals. The goal of this project is to create a system that only recommends careers for students studying computer science. Web scraping was used to extract the career information from the JobStreet website. The recommendation is made using a content-based filtering technique that compares one thing to another based on the user's preferences. The user can easily make recommendations using the system's user-friendly interface and straightforward instructions. Using a specialised functionality tester, this system was put through its paces and more career opportunities will be offered to career vacancy websites in the future. In addition, the system will be more sophisticated when it comes to narrowing down the pool of potential careers that the user can choose from, and it will be directly linked to career page websites to guarantee that all open positions are still open for the user to apply for.
Analysis of Drainage System for Overcoming Floods on Untung Jawa Island, South Thousand Islands District, DKI Jakarta

In general, drainage can be used to reduce excess water, whether from rainwater, seepage, or excess irrigation water from an area, so that the function of the area is not disturbed. This study aims to analyze and examine the drainage problems that exist on Untung Jawa Island, South Seribu Islands District, DKI Jakarta, the drainage channels are poorly maintained and frequent flooding. The data used in this study are primary and secondary data, in planning the calculation of flood discharge a 2-year return period is used. For the calculation of flood discharge, the plan uses a rational method and is added to household flood discharge, and the results will be compared with the existing condition of the drainage channel on Untung Jawa Island, South Thousand Islands District, DKI Jakarta. The results obtained that the largest design flood discharge is 3.277 m3/second on channel A8 and the smallest design flood discharge is 0.094 m3/second on channel C5. for the existing condition of the drainage channel, there are 11 channels that fall into the unsafe category because the condition of the existing channel capacity is less than the planned flood discharge, namely channels A2, A3, A4, A5, A6, A7, A8, A10, B2, B3 and B4. Infiltration wells are planned to accommodate the excess flood discharge, and it takes 19 infiltration wells on channel B4, 13 pieces on channel B3, 9 pieces on channel A8, 6 pieces on channel A2, A3, A6 and B2, 4 pieces on channel A7 , 2 pieces on channel A10, 1 piece on channel A4 and A5.
Design of Digital Squeeze Frame Console for Public Service Advertisement

Digital advertisement is one of the promotional media used by producers to embed brands in the memory of their consumers. However, in the current era, digital advertising is not only used to promote a brand but in delivering public service advertisements, digital advertising is often used. This is because, with the development of the digital era, digital advertising is accepted by the public more quickly. There are various types of digital advertising, including Squeeze Frame. The process of running Squeeze Frame using the Vmix software. Vmix software is a virtual mixer that runs using a keyboard and mouse. In a broadcasting process, especially in outdoor areas, long distances in the process of controlling audio-video broadcasting become one of the obstacles. So there are limitations in running the Vmix software which can only be run using the keyboard and mouse. In this research, an alternative tool is created that can be used when running Vmix software in console form. The form of console hardware is easy to carry so that the broadcasting process using Vmix software can be carried out more easily. By using Arduino Uno CH340 as a microcontroller, the console not only adjusts the audio-video input but also adjusts the squeeze frame display. The result of this research is that the hardware console runs well, for the squeeze frame merging button for public service advertisements. Respondents are interested in this console with a percentage of 95.8%
On Hamming Distance Distributions of Repeated-Root Cyclic Codes of Length 5p<sup>s</sup> Over F<sub>p</sub> <sup>m</sup> + uF<sub>p</sub> <sup>m</sup>

Let <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</i> ≠ 5 be any odd prime. Using the algebraic structures of all cyclic codes of length 5 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p<sup>s</sup></i> over the finite commutative chain ring <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</i> = F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>p<sup>m</sup></i></sub> + <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">u</i> F <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><i>p<sup>m</sup></i></sub> , in this paper, the exact values of Hamming distances of all cyclic codes of length 5 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p<sup>s</sup></i> over <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">R</i> are established. As an application, we identify all maximal distance separable cyclic codes of length 5 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p<sup>s</sup></i> .
CBFMCycleGAN-VC: Using the Improved MaskCycleGAN-VC to Effectively Predict a Person’s Voice After Aging

One task of nonparallel speech conversion is to convert the source speaker’s speech samples to the target speaker’s speech samples, keeping the content unchanged. In view of the advantages of MaskCycleGAN-VC in nonparallel speech conversion, such as small model size and superior performance, our paper uses the basic structure of MaskCycleGAN-VC to improve it and proposes a cyclic boundary method filling in the frame MaskCycleGAN-VC (CBFMCycleGAN-VC) model, which predicts the voice of a person as he ages by using voice samples of his younger self. First, this paper adds speech preprocessing modules, including the Chebyshev low-pass filter and adaptive filter, which increases the robustness of the system. Second, our paper considers the time-domain difference in the weight parameters, which makes it easier to grasp the mapping law of the time-domain structure, with a faster convergence speed. Last, the circular boundary method is introduced to avoid the ringing effect, to enhance the connection between the filled frame and the adjacent frame, and to obtain a better generator. The simulation results show that the CBFMCycleGAN-VC model is more suitable for the speech conversion task of predicting the voices of elderly people, and the convergence speed is faster. The converted voice is also closer to the voice of the target speaker in the time domain and frequency domain. Under the condition that the accuracy rate is similar to that of MaskCycleGAN-VC, the MOS score is 17.5% higher than that of MaskCycleGAN-VC.
Look Beyond Bias with Entropic Adversarial Data Augmentation

Deep neural networks do not discriminate between spurious and causal patterns, and will only learn the most predictive ones while ignoring the others. This shortcut learning behaviour is detrimental to a network's ability to generalize to an unknown test-time distribution in which the spurious correlations do not hold anymore. Debiasing methods were developed to make networks robust to such spurious biases but require to know in advance if a dataset is biased and make heavy use of minority counterexamples that do not display the majority bias of their class. In this paper, we argue that such samples should not be necessarily needed because the ''hidden'' causal information is often also contained in biased images. To study this idea, we propose 3 publicly released synthetic classification benchmarks, exhibiting predictive classification shortcuts, each of a different and challenging nature, without any minority samples acting as counterexamples. First, we investigate the effectiveness of several state-of-the-art strategies on our benchmarks and show that they do not yield satisfying results on them. Then, we propose an architecture able to succeed on our benchmarks, despite their unusual properties, using an entropic adversarial data augmentation training scheme. An encoder-decoder architecture is tasked to produce images that are not recognized by a classifier, by maximizing the conditional entropy of its outputs, and keep as much as possible of the initial content. A precise control of the information destroyed, via a disentangling process, enables us to remove the shortcut and leave everything else intact. Furthermore, results competitive with the state-of-the-art on the BAR dataset ensure the applicability of our method in real-life situations.
Strategy Arrangement of Road Cycling Individual Time Trial Based on Topology Optimization Algorithm

For more efficient training, it is of great significance to know the position-power relationship of riders of different types and genders on different venues for guiding riders’ training.
Applying machine learning to discriminate host rock of quartz using its trace element chemistry– potential application to sedimentary provenance

Quartz is a ubiquitous mineral found in a wide range of igneous, metamorphic, and sedimentary rocks.As the mineral survives sedimentary recycling, detrital grains can retain the signatures of the P-T-X conditions during their crystallization/precipitation from magma/fluid.The trace element composition of quartz can, therefore, potentially reflect the genetic information of its host rock.Previous studies on using quartz chemistry for petrogenetic discrimination have either used bivariate or ternary discrimination diagrams (e.g., Ti-Al; Ti-Al/10-10*Ge), considering a limited number of elements [1, 2] or have used machine learning-based approaches to classify specific ore-genetic environments [3].Here, we have compiled published 11,567 trace element analyses of quartz grains from 14 different types of host rocks: granitoids (A-, S-, I-types), volcanic rocks (A-, S-, I-types), granitic pegmatites (A-, S-, I-types), greisen (altered A-, S-type granitoids), hydrothermal veins (associated with A-, S-, I-type magma), and metamorphic rocks.A rigorous machine learning tool has been applied to discriminate the large and high dimensional database of quartz hosted in different rock types, taking into account 50 trace elements.Our result shows that two supervised machine learning classifiers, i.e., XGBoost and LightGBM models, are able to discriminate quartz trace element data with an average accuracy of 95.5% and 95.8%, respectively.For both models, the normalized confusion matrix shows that each class (host rock) can be correctly predicted with more than 82% accuracy, except for metamorphic (~74%) and Itype pegmatite (33%).Additionally, the Shapley Additive exPlanations (SHAP) algorithm shows that Ti, Li, Ge, Al, Si, B, and P contents in quartz exert significant control in discriminating host rock types.These classifier tools can be used to identify the provenance of detrital quartz grains using their trace element chemistry.
Development of an interdisciplinary module of the educational program of the field “Pedagogical Sciences” at the Master’s level (Module on the effective communication and conflict management)

Abstract Socio-economic, political, cultural transformations in Kazakhstan place great demands on each person, his knowledge, personal qualities, social skills. In this sense, what we want to highlight is the fact that the role and value of the modern educational system is growing, in which human capital becomes important as it is a criterion for the level of social development, also measuring the standard of living of society. Therefore, in such conditions, the essence of the concept of educational leadership proves its effectiveness. In this regard, the relevance of the above concept is emphasized by the practical value of the accumulated experience of highly developed foreign countries in ensuring high-quality education, focused primarily on the development of leadership qualities of students / teachers / managers, the introduction of innovative ideas into educational practice. The paper is aimed at developing and modernizing curricula for professional development and teacher training in Mongolia, Kazakhstan in order to expand the competencies of target groups in the field of leadership. The results of the project include an interdisciplinary modular program for the master's degree level, which combines pedagogical, sociological, psychological, legal, economic and managerial elements, and a professional development program “Teachers-leaders”.
CHARACTERISTICS OF COMPLIMENT RESPONSES BY JAPANESE LEARNERS IN INDONESIA

AbstractResponding to compliments has the potential to cause a polemic for its speakers. Either responding with acceptance at the risk that it would be considered as arrogant or responding with rejection at the risk of disrespecting the interlocutor's opinion of the compliment’s content is where the polemic lies. How Japanese language learners in Indonesia respond to complimentary speech acts is the question addressed in this research. This research is a descriptive study aimed at finding the characteristics of responses given by Japanese language learners in Indonesia to complementary speech acts. The respondents are Japanese language learners with Javanese backgrounds, currently studying at university level in Central Java and Yogyakarta. Data obtained from 53 respondents resulted in 636 speeches of compliment responses obtained using the ODCT. Based on the results of the data analysis, acceptance responses to compliments were found to be very high, reaching 65 percent of all data. Subsequently, an interesting finding was revealed in the context of compliment pertaining to ability in every context of relationship between the speech participants, wherein most of the respondents rejected the compliment in the respective relationship context, which differs with the context of compliments pertaining to appearance, possession, and personal traits. Keywords: compliment, compliment response, acceptance, rejection, deflection Merespon tuturan pujian berpotensi menimbulkan polemik bagi penuturnya. Apakah ditangapi dengan penerimaan dengan resiko akan dianggap sombong atau ditanggapi dengan penolakan dengan resiko dianggap tidak menghargai pendapat mitra tutur terhadap isi pujian. Dalam masyarakat Jepang, tanggapan tuturan pujian berupa penolakan dinilai sebagai sebuah “kebiasaan”. Namun demikian, bagaimana tuturan pujian ditanggapi oleh para pembelajar bahasa Jepang di Indonesia. Penelitian ini merupakan penelitian deskriptif yang bertujuan untuk menemukan karakteristik tanggapan pujian pembelajar bahasa Jepang di Indonesia. Respondennya merupakan pembelajar bahasa Jepang dengan latar belakang sebagai orang Jawa, dan sedang menempuh pendidikan di tingkat universitas di area Jawa Tengah dan Yogyakarta. Data yang diperoleh dari 53 orang responden tersebut menghasilkan 636 tuturan tanggapan pujian yang diperoleh dengan metode ODCT (oral-discourse completion task). Berdasarkan hasil analisis terhadap data, diperoleh temuan diantaranya tanggapan penerimaan terhadap tuturan pujian sangat tinggi, mencapai 65 persen dari keseluruan data. Kemudian, temuan yang menarik adalah pada konteks isi tuturan pujian terhadap kemampuan di tiap konteks hubungan antar peserta tutur (hubungan simetris, hubungan asimetris-dekat, dan hubungan asimetris-jauh) tuturan penolakan merupakan jawaban terbanyak pada masing-masing konteks tersebut, dan hal tersebut berbeda dengan konteks tuturan pujian terhadap penampilan, kepemilikan, dan perilaku individuKata kunci: tuturan pujian, tanggapan pujian, penerimaan, penolakan, pengalihan
Construction Research of Accounting Information System Based on Data Visualization Technology

Accounting information system collects a tremendous amount of company management data, which can help managers predict the future, improve company management and increase economic and social benefits.However, the complex accounting data often lets managers feel difficult to make decisions.Data visualization is in line with the way that human brain receives information, which is convenient for information users to make rational analysis and judgment based on the perceptual knowledge of visual graphics and images.Based on data visualization technology, this paper constructs enterprise accounting information system, including financial management information system, risk management information system, performance management information system and accounting support information system.Accounting information system based on data visualization technology can effectively improve the level of enterprise management.
THE STUDENTS’ READING COMPREHENSION THROUGH NEUROLOGICAL IMPRESS METHOD (N.I.M) AT THE EIGHT GRADE OF MTS AL-MANSUR BIANGLOE

This research aimed at improves the students’ reading ability at the eighth grade through Neurological Impress Method in term of literal comprehension dealing with main idea and supporting details.To explain the improvement, the researcher used a classroom action research (C.A.R) which was conduct in two cycles in which every cycle consisted of four meetings. The location of this research was taken at the eighth grade students of MTS Al-Mansur Biangloe with a number of the subject were 20 students.The research findings indicated that the application of Neurological Impress Method was Significant in improving the students reading ability in term of literal comprehension dealing with main idea and supporting details. It was proved by the mean score of cycle I was 40. It was classified as poor then improve to be 83.75. It was classified as good in cycle II. They are higher than the mean score of diagnostic test namely 32.5 that classified as very poor. Therefore, there was the improvement of the students reading ability in teaching and learning process from cycle I to cycle II in term of literal comprehension dealing with main ideas and supporting details.
The game versus quarantine: The experience of Ukrainian libraries in communicating with students during COVID-19

The COVID-19 pandemic stimulated the transition of Ukrainian libraries to remote forms of work with students.The closure of the physical space of libraries and universities made it impossible for students to communicate personally with librarians.The formation of an alternative communication environment in which students get acquainted with the library as a center of communication and development is becoming relevant and necessary for university libraries.An analysis of recent publications has shown that in this period of uncertainty, as reported by Muhammad Rafiq and his colleagues, libraries consider their collective and individual role in educational and social spaces. 1 According to Arda Putri Winata, Raisa Fadelina, and Sulistyo Basuki, during the COV-ID-19 pandemic, the use of webinars to organize library events in real-time to provide information and motivation and compliance with social constraints was significantly intensified. 2mong some works on the impact of the pandemic on the activities of libraries in different countries, we can single out works that examine practical cases of transformation of traditional library services into remote. 3n this article, the authors offer their own experience of establishing communication between first-year students among themselves and with the libraries of higher education institutions of Ukraine during the quarantine of COVID-19 through online games.
User interface design of Be-Health application for children's learning with a gamification approach

Introduction: Indonesia has the fourth-largest child population globally, estimated at 80 million children by the Central Statistics Agency (BPS). The application of Clean and Healthy Living Behavior (PHBS) in early childhood can reduce the number of early childhood health complaints in Indonesia. In addition, the role of positive parenting is also needed to keep the child's environment clean and healthy. This study aimed to determine the attractiveness, clarity, efficiency, accuracy, and novelty of the Be-Health application as a target for parents to help implement PHPBS for early childhood. Methods: The data was taken from the Statistics Agency in 2018. The Be-Health application's implementation stage used the application development method Extreme Programming (XP). XP was chosen because it is a simple, effective, and efficient application development method. There are five stages in developing the Be-Health application, including five stages, including planning, design, coding, testing, software increment. Results: Be-Health app is an Android-based application that provides a means to help parents apply PHBS to early childhood. Children can play and learn using the Be-Health application that applies the concept of gamification. It allows children to play and learn to complete learning missions about the application of PHBS through the Be-Health application. Conclusion: Based on the results of the prototype design of The Be-Health application using the User Experience Questionnaire (UEQ), it can be concluded that the Be-Health application prototype has above average value for the attributes of attractiveness, clarity, efficiency, stimulation and novelty.