Reviewerly/exHarmony huggingface dataset:
Deteksi Kadar Asap Rokok di Dalam Ruangan Menerapkan Metode Fuzzy Logic Mamdani

The number of sufferers of respiratory disorders, both young and adult caused by cigarette smoke, has increased every year, from 192 countries it is stated that around 40% of children in the world are exposed to cigarette smoke and more than 30% of adults become passive smokers. Cigarette smoke using an Arduino equipped with a gas sensor makes it easy for early detection when someone wants to smoke in the room, the room should be clean of cigarette smoke and equipped with a temperature sensor if too much smoke can make the temperature in the room it changes. The design of the smoke level detector in cigarettes with smoke sensors and temperature sensors uses the mandani fuzzy logic algorithm, equipped with red and white led indicators, a buzzer to provide information in the form of sound, an LCD display that functions to display smoke and temperature information that can be obtained in the room. , as well as a fan as an output to remove cigarette smoke and cool the room temperature
A Data Interaction Mechanism of Multi-market Members in Power Spot Market Based on Blockchain

Blockchain has the characteristics of smart contract, distributed decision-making, collaborative autonomy, tamper proof high security, openness and transparence. It is suitable for the power spot trading market in terms of operation mode, topology and security protection, and can well support the construction and protection of the power spot trading market. Firstly, this paper expounds the basic principle of blockchain technology. Then, the model architecture of power spot trading market supported by blockchain is studied, and the market transaction process covering the whole process of transaction announcement, transaction declaration, market matching, data deposit and certificate is designed. Finally, based on the application scenario of “multi buyer and multi seller” in the power market, a block chain based power spot market transaction simulation platform is built to realize the efficient distribution and rational utilization of energy, and the feasibility of the transaction mechanism and method is verified by simulation experiments.
Red-Mam: A Residual Encoder-Decoder Network Based on Multi-Attention Fusion for Ultrasound Image Denoising

The dependence of speckle noise in ultrasound images on image data makes the research of ultrasound image denoising task a great challenge. Several deep learning-based ultrasound image denoising methods have been proposed, but almost all of them suffer from the inability to focus on the importance of feature information on multiple domains at the same time. Therefore, this paper proposes RED-MAM, a residual encoder-decoder ultrasound image denoising network based on multi-attention fusion. In order to make the denoising model better adapted to the properties of speckle noise, a multi-attention fusion attention block is constructed. The multi-attention fusion attention block is introduced into the residual encoder-decoder denoising network to make the model focus on the ultrasound image texture structure information on multiple domains, thus enhancing the denoising effect of the model on ultrasound images. The performance of our proposed model is evaluated on three ultrasound image datasets. In terms of quantitative metrics, RED-MAM shows substantial improvement in PSNR, RMSE and SSIM. The qualitative results show that RED-MAM has significantly improved denoising performance and has good results in noise suppression as well as structure retention. Our method achieves state-of-the-art performance on all three ultrasound datasets.
The Photo Fond of the State Archive of the Sverdlovsk Region: Issues of Acquisition, Systematization, Search, and Use of Photographic Documents

The article analyzes the history of creation of the photo fond in the State Archive of Sverdlovsk Region (GASO), assesses its scientific reference apparatus, and evaluates the efficiency of search for photographic documents by their subject. There is a growing interest towards local history and history of urban environment, which increases demand for photographic documents stored in the archive. However, the use of these documents is limited due to low efficiency and arduousness of search. The author suggests several ways to increase the efficiency of search using modern computer technology. To achieve this goal, the legal frameworks on photographic documents processing in state archives have been analyzed. The unique sources used in the research are detailed interviews with the GASO staff, as well as annual reports on the work of the archive during 1961–72. During this period, much effort was put to creation of the scientific reference apparatus: description, systematization, and cataloging of photographic documents were conducted. The photo fond (fond 1) counts 62265 storage items. Photographs and albums are also stored in other GASO fonds. The acquisition sources were departmental archives of institutions and organizations, the GASO itself, as well as individuals. Photo documents were widely used in the GASO’s educational and popularization work and were available on request of organizations and citizens. The documents have research potential, and yet (according to archival staff and to research) the existing information retrieval systems do not provide complete and effective search due to their limitations. Relevance and fullness ratio of the information retrieval system have been calculated for publicly available electronic inventories of photographic documents. It has been established that search efficiency of highly specialized queries has precision score of 0,003, while noise ratio is 0,997.
Pelaksanaan Pekerjaan Finishing pada WC dan Tempat Whudu Masjid A-Ikhlas Thumburuni Kab. Fakfak Papua Barat

Al-Iklas Mosque is one of the public mosques in Fakfak City which is still active and has a fairly large number of worshipers, namely 300 people. However, currently the mosque has supporting facilities for building facilities, namely toilets and ablution places whose floors and walls have not been tiled and painted. As well as the damage to water channels and faucets where wudu. Therefore, the PKM team provided solutions to carry out work on installing ceramic floors, repairing drains and painting the walls of the WC and the ablution area of ??the Al-Iklas Thumburuni Fakfak Mosque. The method used is the first method, the ceramic installation service method is by immersing ceramics, installing ceramics by applying cement to the floor to which ceramics will be affixed and applying ceramic grout. The second method, the method of painting the walls, is by cleaning the walls first, mixing the paint with a water base or solvent, and using the zigzag technique in painting. The third method, the method of repairing the water channel where the wudu is located, is by welding the iron pipe which is damaged and leaking. So in this finishing work, collaborating using 2 disciplines from the POLINEF institution, namely civil engineering, namely ceramic installation and painting work, while machine maintenance techniques, namely plumbing repair work.&#x0D; Keywords: Ceramic Installation, Painting Work, Plumbing Welding Work. Al-Iklas Mosque, Fakfak
Data Mining Methods and Techniques in Higher Education

Data analysis is crucial for decision support in every firm, whether it is a manufacturing unit or an educational institution.Data mining techniques are used in a wide range of fields.This paper proposes the use of data mining techniques to improve the efficiency of higher education institutions.When data mining techniques such as clustering, decision trees, and association are used to higher education processes, they can aid in improving student performance, life cycle management, course selection, retention rate monitoring, and grant fund management.This is a strategy for determining how data mining tools affect higher education.Educational Data Mining (EDM) is an interdisciplinary research area focused on data mining's application in the field of education.It uses a number of tools and techniques from machine learning, statistics, data mining, and data analysis to analyses data created during teaching and learning.Educational Data Mining is the process of converting raw data from large educational databases into useful and meaningful information that can be used to better understand students and their learning environments, improve teacher assistance, and make educational system decisions.The goal of this research is to give a broad overview of educational data mining, including its uses and benefits.
Formation of professional competences of the future teacher for evaluating students’ personal achievements

The article is devoted to the problem of the formation of professional competencies of a future teacher in assessing personal achievements of students. The authors of the article reveal the content aspects of preparing a future teacher to evaluate students' personal achievements in the context of a competence-based approach. The directions in the preparation of the future teacher for the assessment of students' personal achievements are highlighted, such as: cognitive direction, providing future teachers with special knowledge about the variety of forms and methods of assessing students' personal achievements, the specifics of their application in the educational process, value-motivational direction, forming future teachers' positive motives and values in relation to the process of evaluating students' personal achievements, evaluative and effective direction, forming the practical skills of future teachers in assessing students' personal achievements. The substantiation of the system of assessment of students’ personal achievements is proposed, which should be built taking into account such principles as complexity, content, certainty, openness, objectivity, diagnostics, technology. Assessment methods such as observation, interviews, questionnaires, testing, knowledge of active-game diagnostic techniques and technologies, projective diagnostic techniques and technologies are considered. The advantages of using portfolio technology in solving the problem of the formation of professional competencies of a future teacher in assessing students’ personal achievements are revealed. The use of the portfolio is considered not only as a means of stimulating the motivation of a future teacher to study and the development of reflexive and evaluative skills of future specialists, but also as an optimal technology for the formation of professional competencies of a future teacher to evaluate students' personal achievements, such as the ability to manage students' educational and cognitive activities, the ability to analyze students' academic and personal achievements, the ability to identify gaps in students' knowledge and skills, the ability to inform about students' personal achievements, the ability to apply the classification of assessment methods to measure students' personal achievements and others.
Development of E-Magazine Materials for Disaster Mitigation Outbreak to Increase Preparedness of High School Students

Indonesia is located in the Pacific Ring of Fire, which is often hit by natural disasters. The potential for co-occurrence with other natural disasters can exacerbate human losses and cause chaos. After the occurrence of natural disasters, in addition to causing many casualties and damage to infrastructure, the threat of health risks becomes a serious problem. Especially the emergence of infectious diseases. The number of fatalities indicates that community preparedness and mitigation against disasters are still poor. Disaster mitigation is the knowledge that students must have to have good preparedness behavior. Education related to disasters is usually based on theoretical knowledge so that it becomes less meaningful for students. For this reason, it is necessary to make efforts to increase the value of student preparedness with interesting learning media, one of which is by developing an e-magazine of disease outbreak disaster mitigation materials to improve student preparedness. Based on the results of observations in one high school in Bogor City, it was found that the level of student preparedness was still relatively low at 42%. This study aims to determine the effect of e-magazines on disease outbreak disaster mitigation materials on increasing student preparedness, as well as to determine the effectiveness of e-magazines on disease outbreak disaster mitigation materials. The study was conducted using the Research and development method using the ADDIE model (analyze, design, development, implementation, evaluation). The population in this study were students of class X MIPA with a sample of 30 respondents. The results showed that the e-magazine was able to increase the student's preparedness score to 69.67% which was in the medium category. The effectiveness of learning media can be seen from the responses of students and teachers. The percentage of the average value of student responses is 89.5% with a very effective category. Based on the results of the teacher's response questionnaire, the percentage was 84.17% with a very effective category.
PENGARUH MEDIA PEMBELAJARAN BIGBOOK TERHADAP KEMAMPUAN MENYIMAK ANAK

The purpose of this study is to find out whether there is an effect of bigbook learning media on children's listening skills. This study uses an experimental type of research using a quantitative approach to obtain complete and in-depth information about the effect of bigbook learning media on children's listening skills in group A RA Barokatussoulatiyah NW Puyung, Jonggat District, Central Lombok Regency. The population in this study amounted to 15 so that this study is said to be a population study. Furthermore, the data collected by the author uses observation, questionnaires, tests and documentation, and the type of data analysis uses the SPSS 16 stage. Based on the results of the t-test research, it shows that the bigbook learning media has a significant influence on children's listening skills, namely 95% and obtained tcount = - 23,252 and the value of sig.(2-tailed) = 0.000. Because the significant value is 0.000 &lt; 0.005, then Ho is rejected and Hi is accepted. Thus the bigbook learning media has a positive effect on children's listening skills. From this study the teacher can find out how much influence the provision of bigbook learning media has on children's listening skills. So it is expected that teachers are more creative in choosing the media used so that students are more eager to receive lessons.
Teacher training in the application of literary resources as a tool for strengthening vocalization and diction

&#x0D; &#x0D; &#x0D; This research study aims to improve the vocalization and diction of students, applying literary resources as a complement to the teaching- learning process, improving communication and information quickly and effectively, so that learning is reflective and thus, enhance their learning efficiently, during the academic period 2018- 2019. To argue this project, a bibliographic study, statistical analysis and survey of students and an interview with the director of the institution were carried out, where, knowing the educational reality of the institution, drawing stimulates thinking and reasoning, so it was proposed the design of a didactic guide to increase the interest of students, making them protagonists of their own learning and thus, contribute to their academic training process by developing in them a better vocalization and diction.&#x0D; &#x0D; &#x0D;
Application of Case Base Method (CBM) in Online Learning in Higher Education (Study of Sociolinguistic Lectures for Undergraduate Students)

Case Base Method is one of the learning methods in optimizing outcomes.Online lectures are an effective modern way of studying, especially in situations where physical contact is not possible.Therefore, this study discusses the application of the Case Base Method in online learning in universities with the aim of explaining how to apply the Case Base Method in online learning in universities, what are the problems faced by students and the challenges of teachers, and what solutions can be done in face these problems and challenges.The data sources in this study were students and lecturers in Sociolinguistics lectures at the Undergraduate Program, Department of Indonesian Language and Literature, Faculty of Humanities, Andalas University in the odd semester of 2021.This research was conducted quantitatively and qualitatively.The method used is descriptive method.The results obtained are the application of the Case Base Method in online learning in universities can be carried out through several stages, namely giving cases, discussions, presentations, and evaluations.Problems in the application of the Case Base Method in online learning are technical problems and attitudes of some students.Meanwhile, the challenge for teachers is to prepare materials and encourage students' enthusiasm both in terms of knowledge and skills to work together in groups.The solution is to increase the competence of teachers in preparing teaching materials and skills in accordance with the Case Base Method.The other main thing is that the government and stakeholders must continue to improve educational facilities and infrastructure.
Zero-Shot Face Swapping with De-identification Adversarial Learning

In this paper, we propose a Zero-shot Face Swapping Network (ZFSNet) to swap novel identities where no training data is available, which is very practical. In contrast to many existing methods that consist of several stages, the proposed model can generate images containing the unseen identity in a single forward pass without fine-tuning. To achieve it, based on the basic encoder-decoder framework, we propose an additional de-identification (De-ID) module after the encoder to remove the source identity information, which contributes to removing the source identity retaining in the encoding stream and improves the model’s generalization capability. Then we introduce an attention component (ASSM) to blend the encoded source feature and the target identity feature adaptively. It amplifies proper local details and helps the decoder attend to the related identity feature. Extensive experiments evaluated on the synthesized and real images demonstrate that the proposed modules are effective in zero-shot face swapping. In addition, we also evaluate our framework on zero-shot facial expression translation to show its versatility and flexibility.
Bangla News Headline Categorization

News categorization from various newspapers is important as readers want to read the news by category.But, the readers face difficulty if the news from different categories is presented without any order.This study aims to determine the category of news from online Bangla newspapers.In this context Bangla news headlines data, along with its categories, were collected from various online newspapers through scrapping.Eight categories of news are considered for this work and the headlines of the news are used for categorization.The input data is modeled by the LSTM and GRU neural networks, and the predicted category is compared with the actual category.For LSTM model, the result gives an accuracy of 82.74% and GRU model, The result gives an accuracy of 87.48%.GRU accuracy is higher than LSTM.Because, GRU training performance is faster than that of LSTM.In GRU 64 units used and in LSTM 128 units used for this research.For this reason, it also suggests that the GRU model gives better results than that of LSTM.
Asymmetric Dilation Residual Distillation Network with Lightweight Image Super-Resolution

Abstract Deep learning approaches have achieved remarkable performances in single image super-resolution (SISR) while the heavy memory consumption and computational complexity hinder their applications in real-world devices. We design a lightweight asymmetric dilation distillation network (ADDN) that cascades asymmetric dilation distillation modules (ADDMs) as feature extraction blocks to efficiently refine hierarchical features. In our design, asymmetric dilation residual block (ADRB) is connected by the ADDM in an information distillation manner. Specifically, the ADRB regulates the dilation factors to expand different multiples of receptive fields and substantially reduces the number of parameters simultaneously. Compared with the existing methods quantitatively and qualitatively, the proposed ADDN can achieve superior performance on four available benchmark datasets with much fewer parameters and memory storage.
Cryptosystem and Authentication System

Abstract In 1949, Shannon published a famous paper entitled “communication theory of secure systems” in the technical bulletin of Bell laboratory. Based on the mathematical theory of information established by him in 1948 (see Chap. 3), this paper makes a comprehensive discussion on the problem of secure communication and establishes the mathematical theory of secure communication system. It has a great impact on the later development of cryptography. It is generally believed that Shannon transformed cryptography from art (creative ways and methods) to science, so he is also known as the father of modern cryptography. The main purpose of this chapter is to introduce Shannon’s important ideas and results in cryptography theory, which is the cornerstone of the whole modern cryptography.
Is Facebook Keeping up with International Standards on Freedom of Expression? A Time-Series Analysis 2005-2020

Through an exhaustive tracking of the evolution of relevant documents, we assess the compatibility of Facebook’s content policies with applicable international standards on freedom of expression, not only regarding Facebook’s current policies (as of late 2020), but historically as well starting from Facebook’s founding. The historical dimension allows us to observe how Facebook’s response has changed through time, and how freedom of expression has evolved and how emphasis has shifted to new areas of speech, issues, or groups, particularly online. Our reserach highlights areas where progress was noticed, and areas where progress has been insufficient, making relevant recommendations. Our overall finding is that in virtually all areas of freedom of expression we tracked, Facebook responded slowly to develop content moderation policies that were up to international standards. While the international community was more proactive, it too missed opportunities for timely guidance on key areas.
The Paradoxically Surviving and Non-Surviving of the Psychic Object

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Práctica pedagógica docente desde la internacionalización del currículo

The book addresses climate change and socio-environmental conflicts of global impact linked to sustainable development. It gathers approaches from several disciplines belonging to the social, exact, education sciences, and engineering. It aims to define the current transformations in the political, environmental, and education spheres. The scope is theoretical and practical: while the first chapters try to diagnose the present situation in the Anthropocene discussion, focusing on legal agreements or existing social problems, the following propose solutions through innovations and strategies to tackle water pollution or resort to green chemistry and biotechnology for better treatment of toxic wastes. Other contributions explore the economic effects on the world since the current pandemic has transformed capitalism. Finally, the book includes two chapters on the necessity for preparing citizens to face these situations from the internationalization of the curriculum and pedagogy or the specific citizenship competencies with a global perspective. Professionals in all areas of knowledge must undertake this preparation in the 21st century.