Reviewerly/exHarmony huggingface dataset:
Result Analysis according to Population Distribution Trends when Reagents are Changed

Purpose: In this study, the monthly population distribution was calculated for statistical verification of 10 tests (CA19-9, CA15-3, testosterone, PTH, calcitonin, AFP, CEA, CA72-4, PSA, estradiol) with changed reagents, and the trend of change By comparing and analyzing the results, we want to verify the accuracy of the results and improve the reliability of the test. Materials and Methods: From June 2021 to February 2023, for the 10 items in which the reagent was changed, the monthly percentage and standard deviation index before and after the reagent change were compared, respectively. At this time, the reference value was arbitrarily set for the comparison group in consideration of the reference value of the test item, and the groups were subdivided and compared, and the standard deviation index allowed range was -2.0 or more and 2.0 or less. Results: For CA19-9, CA15-3, AFP, CEA, and calcitonin 5 test items, the change in monthly ratio in all test sections before and after the reagent change was kept constant. On the other hand, for CA72-4, PSA, testosterone, PTH, and estradiol items, the standard deviation index exceeded the acceptable standard after changing the reagent. CA72-4 test items showed an increasing trend in standard deviation index in the test section exceeding the reference value. In the case of the PSA test item, the maintenance ratio of 0.04 ng/mL was significantly decreased after changing the reagent. The testosterone test item had a standard deviation index of -2.5 in the test section exceeding 10.1 ng/mL after changing the reagent, and the standard deviation index of the PTH test item was out of the acceptable range in all test sections. It was confirmed that the estradiol test item showed an overall increase in the result value. Conclusion: Through this study, the continuity and accuracy of the test results could be verified. It is considered that the stability of the test can be secured by analyzing the factors affecting the test result and solving the cause for the test item whose standard deviation index is out of the acceptable standard.
BCD ADDER ENTERPRISE EXHAUSTING NOVEL REVERSIBLE LOGIC FOR STUMPY POWER APPLICATIONS

Reversible logic has garnered tremendous attention in the recent years owing to its capacity to lower the power dissipation which is the major criterion in low power digital design. It finds use in many fields, including nanotechnology, biotechnology, quantum computing, optical information processing, DNA computing, and advanced computing. This work introduces a novel reversible gate and uses it to create an improved reversible BCD adder. The suggested architecture is shown to be more efficient than current ones in terms of gate count, garbage output count, and quantum cost, according to a comparison result.
MODEL EVAKUASI KERAMAIAN DALAM GEDUNG MEMILIKI BEBERAPA PINTU KELUAR DENGAN MEMPERHATIKAN KEPANIKAN INDIVIDU

The purpose of this study is to determine the effect of panic on evacuation time. Evacuation is the movement of individuals from a place in danger to a safer place. Evacuation is usually done when there is an emergency such as an earthquake, fire or attack, which will make the movement of individuals difficult. Individuals who are in an emergency will feel panic. The panic that occurs will cause individuals to lose their way to a safer place such as an exit. This research is a basic or theoretical research. The evacuation model uses cellular automata that simulates the behavior of individuals in cells for the evacuation process. This model considers the panic factor in the evacuation process which will affect the steps taken by individuals. Individual steps based on transition probabilities will obtain evacuation time. The parameters used are static coefficient, dynamic coefficient, and panic coefficient. Simulation using software by entering the grid size, obstacle position, exit position, individual position and parameters. Based on the simulation results, it is obtained that the increase in individual panic, the longer the evacuation time
“Dari Mata Turun ke Hati”: Penggunaan Eyelash Extensions di Kalangan Siswi Sekolah Menengah

Being attractive and beautiful has its own charm which will certainly increase self-confidence. For this reason, women try to improve their appearance, one of which is by doing facial treatment to make them look more attractive. One of the current trends is eyelash extensions which are widely used by women. This article deals with this.&#x0D; This research used a qualitative approach, and it was conducted in Makassar, involving ten female Junior and Senior High School students in Makassar. They are between 14 and 18 years old. Data collection was carried out througuh in-depth interview and observation.&#x0D; Beauty is every woman's dream regardless of age. There are various ways to look beautiful. Eyes are the main aspect of beauty because as a saying state: "from the eyes down to the heart". Eye makeup has a significant influence on the overall beauty of one’s face, even though other parts of the face are not touched by decorative cosmetics. Therefore, special attention is given to apply eye makeup, one of which is by using eyelash extensions. Eyelash extensions also have various forms, namely basic lash or natural eye, soft doll, cat eye, perfect long, open eye. The form of eyelash extensions that is popular among young women is the basic lash type because even if someone uses eyelash extensions, the appearance of this type of eyelash is more natural and not excessive. In addition, there are two types of eyelash extensions, namely classic and premium. However, choosing the form and type of eyelash extensions really depends compatibility on the shape of the user's eyes. The reasons why teenage girls use eyelash extensions are: first, because of the influence of people in their immediate environment who have used eyelash extensions; second, social media has a very significant influence on females teenagers' decisions to use eyelash extensions, through which celebrities and influencers inspire them to use eyelash extensions; third, using eyelash extensions enhance one’s self confidence; and fourth, the relatively affordable price of eyelash extensions motivates female teenagers to use them. However, despite the desire to become more beautiful by using eyelash extensions, there is a "price" that must be paid. Using eyelash extensions has an impact on one's eyes and self. If the former causes itching, irritation, and loss of eyelashes; then the latter makes eyelash extensions users addicted.
IMPLEMENTASI ALGORITMA CLUSTERING DENGAN MODIFIKASI METODE ELBOW UNTUK MENDUKUNG STRATEGI PEMERATAAN BANTUAN SOSIAL DI KABUPATEN BOJONEGORO

This research aims to obtain clustering results from the K-Means and K-Medoids methods for grouping communities per sub-district in Bojonegoro Regency based on several types of Social Assistance. The method used is one of the data mining methods, namely the clustering method. As a comparison, the clustering methods used are the K-Means and K-Medoids methods. The research variable used is annual data on Family Social Assistance from the Bojonegoro Regency Social Service from 2020 to 2021, which contains several types of assistance, namely Regional Contribution Assistance, Regional Direct Assistance, Village Direct Assistance, Social Food Assistance Affected by the COVID-19 Pandemic, and the Family Hope Program in the form of discrete data with a ratio scale. The results obtained by modifying the Elbow method obtained the best clustering method is the K-Means method with 5 optimal clusters. The sub-district clusters in 2020 and 2021 are different because in 2020 there is more focus on COVID-19 pandemic assistance, while in 2021, there is more focus on direct Regional and Village assistance
PROJECT TECHNOLOGY AS A TOOL OF MULTIDIMENSIONAL EDUCATION AT UNIVERSITY

In the context of the transformation of modern education and the entry of society into the era of digitalization, the role of universities in the development of universal competencies and flexible skills of students is increasing. The ability to creative activity, creative thinking, the ability to find a common language with representatives of different cultures becomes a condition for the success not only of a specialist in the profession, but also of a person on the scale of the state. And the ability to combine at a professional level special and supra-professional, communicative, project skills allows us to talk about the multidimensionality of the individual and the educational reality corresponding to the needs of the individual. Mastering design technology during training allows students not only to organize their own creative result-oriented activities, but also to develop personal qualities and flexible skills. Therefore, the purpose of this work is to substantiate the project technology as a tool of multidimensional education, which allows us to achieve the planned educational results. To achieve this goal, methods of observation and analysis of theoretical sources and comparison of empirical data were used. A study was also conducted on the dynamics of the level of awareness and application of project technology as a flexible competence among students, and the results obtained were described. At the same time, multidimensionality as one of the qualitative characteristics of higher education is considered in this paper from the standpoint of the analysis of the missions of universities, the prevailing attention to the development of flexible skills and universal competencies of students, as well as digitalization as an objective reality. As a result of the conducted research, it can be concluded that the higher education system in Russia, multidimensional in nature, should be based on project tools in order to be able to meet the current challenges of our time.
Design and Implementation of a User-Centered Web-App using Open Source Platform: Indonesia Disaster Data (InDITA)

The availability of updated and easy access to geospatial data and information is the main thing in disaster mitigation and sustainable spatial planning. This needs to be supported by the rapid development of technology in the aspect of spreading data and spatial information via the internet. The Spatial Data Infrastructure (SDI) is realized as an implementation of spatial data distribution. SDI is an integrated mechanism to make it easier for spatial data users to access, search, share, and use spatial data and information. Built upon the background statements, the research does intend to develop a web-app which is functioned as a data repository, viewer, and also simple processing (web GIS). To design and develop a disaster geospatial online application web-app that has an integrated function (repository-web GIS) following the directions and input from user feedback becomes the fold of the research. . The importance of putting the user needs in building a web-app to be used by anyone universally is more realistic and practical. The user interface is very essential in bridging communication between users and web mapping systems. User-centred design (UCD) implemented by gathering input and feedback from users. UCD describes the process of ensuring interface success throughout the design and development of the interface. GeoNode has chosen as the platform since it is open-sourced, and commonly used for managing and publishing geospatial data. Based on respondents' assessment of the quality of content/information that important to be developed in a disaster website, it is recognized that providing reliable and up-to-date data and information (69%) and the accuracy of data and information (74%) are the most important things to develop in the InDITA application. the most important features to respondents are the spatial data display feature/map viewer (89%). The design of InDITA was built interactive and user-friendly which designed as an application that accommodates simple viewer, data repository, and web GIS functions. The interactive design emerged as the demand for app users.
Kepraktisan Pengembangan Media Ajar IPS Berbasis Video Interaktif

Teachers must apply innovative and interactive learning media, which are important to encourage the students' participation. However, based on the preliminary observation, most teachers only applied teacher-centered learning while teaching social studies with textbooks. This research is a part of an R&amp;D that examines the product's practicality. The researchers tested the product within a small-scale group. The researchers took the data from 15 students in the fourth grade at Public Primary School Majalengka A and two teachers. The results showed a percentage of 88% of teachers and a percentage of 87.06% of students found the media practical. The practicality showed that the applied media, the cultural map media based on interaction, was practical for the students of the fourth grade to learn social study
TOPOLOGICAL EXPLORATIONS: UNVEILING THE REALM OF CONTINUOUS FUNCTIONS AND THEIR COMPUTATIONAL APPLICATIONS

This paper delves into the fascinating realm of topology, specifically focusing on continuous functions and their computational applications. Topology, a branch of mathematics, provides a powerful framework for studying spatial relations and continuity. In this paper, we explore the foundational concepts of topology, elucidating the significance of continuous functions in various mathematical and real-world contexts. Additionally, we delve into the computational applications of continuous functions, showcasing their relevance in diverse fields such as computer science, physics, engineering, signal processing, geometric modeling, topological data analysis, dynamical systems, and chaos theory
DIGITAL FRAME PEDAGOGICAL TECHNOLOGY: APPLICATION IN SCHOOL MUSIC EDUCATION

An educational institution of the 21st century is unthinkable without the use of pedagogical and digital technologies related to ICT. Despite the radical modernisation in the field of modern didactics and the introduction of new Federal State Educational Standards in 2023 both in Russia and China, the classroom-based learning system still faces such difficulties as the increase in the content volume of curriculum subjects, the disproportionality of the amount of educational material and the time allotted for its study. All these questions also apply to the music subject. The article presents a promising direction for solving these problems by means of the frame digital pedagogical technology in school music education in China.
Area-Efficient Design for Fibonacci Q-matrix Decryption Circuits Using 3-Moduli Set

RNS-based Fibonacci Q-matrix decryption circuits were developed. By using 3-moduli set $\{2^{n}+1,2^{n}, 2^{n}-1\}$, the complete delay/area was effectively reduced. The analysis result showed that RNS-based implementation saved more area with a shorter delay. The design strategy can be applied to the encryption process to achieve delay/area reduction at the same time.
Video Anomaly Detection using Residual Autoencoder: A Lightweight Framework

This paper proposes an efficient lightweight deep spatial residual autoencoder (SRAE) model to detect anomalous events in video surveillance systems. A lightweight network is essential in real-time situations where time is critical. Moreover, it could be deployed on low-resource devices like embedded systems or mobile devices. This makes it a very useful option for real-world situations where there may be a shortage of resources. The proposed network is composed of a 3-layer residual encoder-decoder architecture that is adopted to acquire the salient spatial characteristics representative of normal events in videos. Then, the reconstruction loss is used to find abnormalities, where normal frames are recreated well with a low reconstruction loss, and abnormal ones are found as the opposite. The model's efficiency is tested by two benchmark datasets, the UCSD Pedestrian2 and the CUHK Avenue, achieving AUC ≈ 95% and 81% for the two datasets, respectively. Hence, its performance proves to be comparable with the state-of-the-art models.
Architecture of an IP camera system using machine learning for privacy protection

The development of technologies and the Internet conditioned the development of video surveillance systems. In modern video surveillance systems, the complete content recorded by a camera can be publicly available, i.e., visible on the Internet. The mass use of this type of camera has led to the fact that the cameras record everything and everyone and that the recorded content violates privacy. In order to protect privacy, different types of technologies and software are applied. One of those technologies is machine learning. By applying machine learning, it is possible to mask people's faces on recorded material. In this way, in publicly available content, as well as in case of unauthorized access, the identity of people is not compromised. This paper describes the architecture of a system that enables the application of machine learning for the purpose of protecting the identity of a person, where only an authorized person would have access to the original unmasked content.
Assessing EFL Papuan students’ ability in memorizing English vocabulary using context clues strategy

Research on how to utilize students’ ability to master the foreign language especially in memorizing some words in a target language is believed very important. The purpose of the study is to assess the ability of native Papuans in memorizing some English vocabulary using the keyword system strategy of a selected translated Sentani folktale, entitled The Legend of Sentani Lake. Data was obtained from around 32 students who were asked to memorize several target words. The result showed that students’ keyword system strategy was useful in connecting the spelling, pronunciation, and new words to their prior knowledge by looking at the similarity between the target word and keyword in sound using the key-word system strategy. It is also showed that Papuan EFL students have a high ability to utilize existing knowledge and memorable relationship to memorize new or currently studied English vocabulary. The findings provide important insight for foreign language teaching and learning regarding the importance of encouraging students to develop their ability to master the language being learned by connecting it with something close to the context of Papuan native students’ live in order to make it more effective and meaningful.
APPLICATION OF INQUIRY-BASED LEARNING BY KAZAKHSTANI INSTRUCTORS IN THE CLASSROOM

The article "Research on the use of research learning by Kazakh teachers in the classroom" examines the use of research learning in educational institutions in Kazakhstan. The authors describe the experience of teachers in applying this teaching method, the features of its use, as well as the advantages and disadvantages of this approach. The article concludes that research learning can be an effective way to increase student motivation and develop their creative skills, which, in turn, will significantly affect the quality of education.
Pengembangan Metode Permainan Teka Teki Untuk Meningkatkan Minat Siswa Dalam Belajar Bahasa Mandarin Dengan Menggunakan Pendekatan Design Thinking

The introduction of Mandarin as a foreign language is increasingly important in the era of globalization and increasingly close international relations between countries. In many countries, including Indonesia, the ability to speak Mandarin is considered a competitive advantage in various fields. Despite its importance, interest in learning Mandarin is still low. The purpose of this study is to identify and analyze the effect of the puzzle game method in increasing students' interest in learning Chinese. This study used qualitative research methods. Data collection techniques were carried out by observation and literature study. The data that has been collected is then analyzed thematically. The results showed that efforts to increase students' interest in learning Chinese, namely by playing charades implemented through power point media at Zoom meetings, proved to be able to increase students' interest in learning Chinese because it was considered interesting and fun by students. In addition, in this game there are also prizes for students who have the highest points. Points are obtained by answering questions correctly, this makes students eager to collect points and indirectly increases students' interest in learning.
An Enhanced Sampling-Based Viewpoints Cosine Visual Model for an Efficient Big Data Clustering

Bunching is registering the item's similitude includes that can be utilized to segment the information. Object similarity (or dissimilarity) features are taken into account when locating relevant data object clusters. Removing the quantity of bunch data for any information is known as the grouping inclination. Top enormous information bunching calculations, similar to single pass k-implies (spkm), k-implies ++, smaller than usual group k-implies (mbkm), are created in the groups with k worth. By and by, the k worth is alloted by one or the other client or with any outside impedance. Along these lines, it is feasible to get this worth immovable once in a while. In the wake of concentrating on related work, it is researched that visual appraisal of (bunch) propensity (Tank) and its high level visual models extraordinarily decide the obscure group propensity esteem k. Multi-perspectives based cosine measure Tank (MVCM-Tank) utilized the multi-perspectives to evaluate grouping inclination better. Be that as it may, the MVCM-Tank experiences versatility issues in regards to computational time and memory designation. This paper improves the MVCM-Tank with the inspecting methodology to defeat the versatility issue for large information grouping. Trial investigation is performed utilizing the enormous gaussian engineered datasets and large constant datasets to show the effectiveness of the proposed work.
Securing the Cloud: A Critical Appraisal of Data Security Strategies

Cloud computing, a paradigm shift in the evolution of the internet, has garnered significant attention. However, security remains a primary concern, hindering its widespread adoption. Cloud computing essentially transfers user data and applications to remote data centers, where users relinquish control, and data management practices may not always adhere to the highest security standards. This unique characteristic of cloud computing raises a multitude of security concerns that warrant careful consideration and understanding. One of the most crucial and prevalent security concerns is the potential exposure of user data and applications stored on service provider premises. In this article, an attempt is made to review the literature in this area of research.
Multiple Sclerosis Classification Using Deep Learning Techniques

The diagnosis of Multiple sclerosis with different types is a big challenge for the doctor and takes more time in real life. We develop two deep learning techniques in order to classify the MS type. The MS has four types: MS-axial, control-axial, MS-sagittal, and control-sagittal. After that, we apply many preprocessing steps to the dataset in order to make it suitable to feed to the classification process like convert the target class label to numeric. We used four evaluation metrics to compare deep learning models: VGG19 and VGG16: recall, f1-score, accuracy, and precision. The results showed that the VGG19 gave better results compared with the VGG19 model in terms of four evaluation metrics of accuracy = 98.6%. The results indicated that we can rely on VGG19 in the classification process for many MS types.