Reviewerly/exHarmony huggingface dataset:
Meningkatkan Literasi Digital Melalui Pelatihan Aplikasi Kinemaster Untuk Pembuatan Konten Pembelajaran

This service activity is intended to explore the potential use of technology to improve digital literacy among students by utilizing the Kinemaster application as an innovative learning tool. Digital literacy is a crucial factor in individual success in a society that relies on information technology, and multimedia applications such as Kinemaster are considered to have a significant role in achieving this goal. The approach applied in this PKM is to provide training to participants, especially students and teachers, on the use of Kinemaster applications to create multimedia content that supports learning. They are taught how to edit videos, add multimedia elements, and produce interesting learning materials through this application. The positive impact of this activity involves improving participants' digital literacy skills, increasing their ability to use technology for learning, and increasing their interest in creative exploration through multimedia. The positive contribution of this PKM is reflected in the development of digital literacy among students, supporting a more interactive and technology-based learning process, and creating opportunities for participants to become more skilled and responsible multimedia content producers.
Impact of robotics within Scratch block-based visual programming on computational thinking in primary school students

This paper examines the impact of a robotics course using the Scratch 3.0 tool on the computational thinking of elementary school students. The study was conducted at the KSU «IT school-lyceum № 28 named after Kuljabai Kasymov» in Kazakhstan among 48 third-graders with basic programming skills, divided into a control group and an experimental one. Prior to the experiment, all participants were asked to create a robot in Scratch 3.0. The students in the experimental group attended robotics classes for two weeks, while the participants in the control group followed conventional curriculum. Upon completion of the course, participants in both groups were tasked with creating a game. The students' projects before and after the experiment were scored using the Dr. Scratch platform. The data were analyzed using descriptive statistics to obtain group averages and standard deviations. In order to examine the effect of using the Scratch 3.0 tool on students' computational thinking, an independent two-tailed t-test was performed to estimate the size of between-group differences. Post-test computational thinking scores of the students who completed practical tasks on Scratch were significantly higher by 31.8% compared to their peers who attended regular classes (P &lt;0.001), indicating an improved computational thinking in the experimental group participants. Key words: robotics, block-based programming, Scratch, computational thinking, schoolchildren.
Announcement of the tutorial Andreeva, P.N. (2023) Legal drafting technology: textbook. Moscow, RUDN Publ.

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Routing the quantum internet in large LEO satellite constellations

Space is a promising medium for quantum communications, boasting potentially better link performance compared to optical fibers. A future quantum internet, therefore, may rely heavily on satellite networks, which present various open networking challenges, one of which is routing, that today lack definitive solutions, sometimes even in the case of classical networks too. Nonetheless, with ever-bigger satellite constellations, this new plane of networking is slowly becoming a reality. To address the problem of dynamically changing links and handle the unique behavior of quantum repeater protocols, we propose a simple method based on a modified variant of the standard A* graph search algorithm. We then simulate a Starlink-like LEO constellation with simplified models for the main steps of quantum repeater protocols to investigate the feasibility of our method and future quantum satellite networks.
CoReg: Membership Privacy Protection via Collaborative Regularization

Machine learning is widely used in many areas, however, it has been proved that machine learning models are prone to leak sensitive information of the training data. For instance, the adversary could precisely infer whether a sample belongs to the target model's training set with membership inference attacks (MIAs). To mitigate the membership inference risks, we propose a novel defense framework, named CoReg. It trains multiple sub-models and they regularize each other with a novel collaborative regularization. With this method, we could reduce the membership leakage risks by enforcing the model to have similar behavior on members and non-members, while maintaining high classification performances. Furthermore, we propose an adversarial output control module to select the output of the least risky sub-model as the final output. We carry out extensive experiments on three datasets and verify that CoReg could achieve better protection effects against MIAs than baselines while maintaining high classification accuracy.
RADIOLOGICAL COMPARISON ON THE EGYPTIAN MINERAL SANDS AND SILT DEPOSITS AT THE MOUTHS OF THE NILE RIVER, ROSEITA AND DAMIETTA AREAS, MEDITERRANEAN SEA, EGYPT

The high resolution of radioactive measurements acquired by the spectrometric gamma-ray technique were applied in the research area and subjected to statistical analysis, in order to draw valid conclusion, regarding the nature and significance of the distribution of the radioelements, that it represents each input element individually. The qualitative interpretation showed seven anomalous parts in Roseita branch and four anomalous parts in Damietta branch. The quantitative interpretation used traditional statistical treatment the calculated arithmetic mean, standard deviation, range difference (between the minimum and maximum values), standard error, Coefficient of Variation (CV%) and 95% Confidence Interval for the Mean (lower bound and upper bound). Meanwhile, the advanced statistical treatment, such as test of homogeneity Levene’s Statistic, ANOVA test, K mean clustering and post Hoc of the multi comparison among the separated eleven groups. As well as they help to define their original source behaviors.
A Research on Position Capacity of Minority Language Practical Talents in Higher Vocational College of Border Area

taking those graduated students of Dehong Teachers’ college who major in applied Burmese as research subjective, this paper attempts to probe into the current major condition from perspectives of teaching facilities, teachers’ ability and curriculum provision. Meanwhile, from aspects of market response, teacher interview and students investigation, the author manages to find out the condition of their position capacity and professional quality and its influential factors.
Analisis Sentimen Masyarakat Indonesia Dalam Konflik Rusia-Ukraina Di Twitter

Russia is a big superpower that has power and plays an important role in international politics, while Ukraine, a former Soviet Union country, became independent on December 1, 1991. In 2014 there was also a conflict between Russia and Ukraine which was a meeting of superpowers. In February 2022, Russia resumed armed conflict with Ukraine. The Russia-Ukraine conflict has garnered many responses in the form of tweets from various circles of society, resulting in many traces of tweets containing public opinion on the Russia- Ukraine conflict on Twitter social media. This study aims to determine the results of the positive or negative impact of the conflict between Russia and Ukraine on the economy in Indonesia and to determine the results of accuracy, precision, recall resulting from the use of the Naïve Bayes method and feature selection Particle Swarm Optimization in RapidMiner Studio software. Particle Swarm Optimization is an optimization method inspired by the behavior of fish and poultry flocks in search of food sources. The preprocessing stage in this research includes cleansing, removing duplicates, data selection, normalization, case folding, tokenizing, filtering, stopwords, stemming, and labeling. The classification results obtained by 55.11% of twitter users commented negatively and 44.89% of twitter users commented positively about the conflict between Russia and Ukraine. By looking at the results of the sentiment analysis data above, where the number of Twitter users who commented negatively is higher, it can be concluded that the Indonesian people are worried about the surge in prices of basic daily necessities, as indicated by one of the tweets commenting on rising oil and gas prices BBM
Sistem Informasi Geografi Berbasis Web Untuk Pemetaan Pariwisata Di Kota Dili

−Dili City is the capital city of Timor-Leste. Geographically Timor-Leste is located between the Australian continent in the south and the Indonesian archipelago in the west, north and east with land and sea boundaries. The tourism sector in the city of Dili is diverse with its natural uniqueness and is made by humans, but thus the efforts of the government have not been as much as possible to control in terms of facilities, entrance fees and transportation specifically to this place. The government in Dili City has carried out promotions through mass media via Facebook, Instagram. However, this method is not sufficient to inform tourism widely to local and foreign tourists. Therefore, through the design and manufacture of a tourism GIS, it is hoped that it can display an overview of the tourist map of Dili City. The system development method used in this study is the Waterfall method with several stages, namely design, analysis, coding and testing, implementation and maintenance with data requirements in accordance with the spatial data model in Geographic Information Systems. The map design displayed in this system uses Google Maps, the software used in building this application is PHP (Pear Hypertext Preprocessor) as a programming language, MySQL as a database server, Map GIS Marker, Visual Studio Code as code editing software
Waste Tetra Pak containers and its use in construction materials

This work studies the incorporation of Tetra Pak packaging waste into construction materials. The results show a multifunctional use of such waste, since not only the mechanical properties are improved (without the need to recycle or modify the packages), but also environmental pollution is reduced by not dumping them in landfills. In addition, a valuable alternative based on the use of gamma rays for the treatment and recycling of waste materials is studied, which presents important advantages over traditional methods as it does not generate by-products or harmful residues.&#x0D;
ENRICHING LARGE DOCUMENT STORES WITH INTELLIGENT METADATA: A FRAMEWORK FOR EFFECTIVE KNOWLEDGE MANAGEMENT AND APPLIED ANALYTICS

The current paper focuses on a framework for structuring large document stores with the help of intelligent metadata. The described landscape includes a proprietary knowledge graph which ingests millions of concepts from external, third-party data providers and accommodates internal class taxonomies; an NLP service for automated annotation of textual data; an annotations quality control mechanism; tools for knowledge graph ontology and concept management; and an extensive API layer. The authors present an approach they have tested and proved successful in one of the leading media companies in the world, whose media content is a core data asset. The proposed solutions enable content analytics in their proper context and allow explicit and implicit connections between the content and other company data – i.e., user (media content consumer) data. The latter empowers the efficient application of advanced analytical models for searches and recommendations and the implementation of accurate data-driven virtual assistants. The paper advises addressing the metadata quality concerns, which the authors’ extensive practice identifies as an essential prerequisite for applied analytics delivering significant business value.
Forensic Video Analytic Software

Law enforcement officials heavily depend on Forensic Video Analytic (FVA) Software in their evidence extraction process. However present-day FVA software are complex, time consuming, equipment dependent and expensive. Developing countries struggle to gain access to this gateway to a secure haven. The term forensic pertains the application of scientific methods to the investigation of crime through post-processing, whereas surveillance is the close monitoring of real-time feeds. The principle objective of this Final Year Project was to develop an efficient and effective FVA Software, addressing the shortcomings through a stringent and systematic review of scholarly research papers, online databases and legal documentation. The scope spans multiple object detection, multiple object tracking, anomaly detection, activity recognition, tampering detection, general and specific image enhancement and video synopsis. Methods employed include many machine learning techniques, GPU acceleration and efficient, integrated architecture development both for real-time and postprocessing. For this CNN, GMM, multithreading and OpenCV C++ coding were used. The implications of the proposed methodology would rapidly speed up the FVA process especially through the novel video synopsis research arena. This project has resulted in three research outcomes Moving Object Based Collision Free Video Synopsis, Forensic and Surveillance Analytic Tool Architecture and Tampering Detection Inter-Frame Forgery. The results include forensic and surveillance panel outcomes with emphasis on video synopsis and Sri Lankan context. Principal conclusions include the optimization and efficient algorithm integration to overcome limitations in processing power, memory and compromise between real-time performance and accuracy.
Lightweight Steganography Technique in The Internet of Things: A survey

In the context of the Internet of Things (IoT), lightweight steganography provides a revolutionary combination of technology and security, where data concealment meets the efficiency requirements of IoT devices. Lightweight steganography, as opposed to conventional steganographic methods, focuses on concealing information inside digital content while using the least amount of computer resources and energy. Secure data transfer is essential in the IoT world because linked devices may communicate with one another without interruption. IoT devices may communicate private data discreetly while conserving system resources, thanks to the elegant approach offered by lightweight steganography. This novel method makes use of complex algorithms that gently change data packets, turning them into bearers of hidden information without raising any red flags. The secrecy of IoT ecosystems is strengthened by lightweight steganography's easy integration of covert communication channels. In addition to improving data security, this technology also optimizes bandwidth usage and increases device battery life. A future when linked devices may transmit information safely, effectively, and surreptitiously is predicted as the IoT environment develops. This would usher in a period of unmatched data security and resource optimization.
On quantum annealing without a physical quantum annealer

Quantum annealing is an emerging metaheuristic used for solving combinatorial optimisation problems. However, hardware based physical quantum annealers are primarily limited to a single vendor. As an alternative, we can discretise the quantum annealing process (discretised quantum annealing or DiQA) and use it on gate-model quantum computers. In this work, we first benchmark DiQA against simulated annealing for a similar number of steps. We then propose and evaluate a hybrid quantumclassical heuristic: Quantum Accelerated Simulated Annealing (QASA), where the traditional classical annealing procedure can be sped up with the use of (relatively) low depth DiQA circuits. This is done by (i) running a partial annealing scheme with a fraction of the depth of the complete circuit (ii) sampling the results from the circuit and fitting a Gibbs distribution on it and (iii) Using the inverse temperature of the Gibbs distribution and the best sample to initialise simulated annealing (SA). Our simulation results show QASA performing comparably to SA but for a reduced amount of steps.With the promising results of our work, we hope to generate interest for potential future work in the area of fixed-parameter quantum optimisation.
Our Community Chimes In

Welcome! The Journal of Graduate Librarianship’s Practitioner Panel allows us to hear directly from the graduate librarian community via social media, where we regularly post questions and invite your comments on practical issues relating to graduate librarianship. To join the conversation and share your comments about community topics, please follow us on Facebook, Instagram, Threads, or X (formerly Twitter)—or keep an eye on the JGL website, where we also post all Practitioner Panel questions.
A Study on the Awareness of the Reality and Contemplative World of Hongwa Lee Doo-hun

The aim of this study is to investigate, from multiple perspectives the life and contemplative world of HongWa(弘窩) Li Doo-hun(李斗勳, 1856~1918) who was born in Seongju, Gyeongbuk, Korea and active mainly in Goryeong, Seongju, Geochang, and Hapcheon during the late period of the 19th century and the early period of the 20th century. The man, a scholar out of government office, dedicated his whole life to studying and writing literary works, carrying out independence activities, during the turbulent times of the intervention in domestic affairs from foreign powers and the deprivation of national sovereignty by the Japanese imperialism.&#x0D; After having joined Hanju academic circles, at the age of 20 years, he held Ganghoe(講會), Hayangeumjur(鄕飮酒禮), Gyeolgye(結契) and others, together with his colleagues, to create the academic atmosphere. Also, he actively confronted the deprivation of national sovereignty and domestic affairs from foreign powers. In February 1896, Li stated ｢Pogocheonhamun(布告天下文)｣ which requested western powers to strictly judge the atrocities of the Japanese imperialism, based on the international law of Mangukgongbeop(萬國公法). He prepared and completed its draft, before sending it to the American, British, and Russian legations in Seoul. With Eulsaneukyak(乙巳勒約) (Japan-Korea Treaty) signed in 1905, he and his colleagues made a written appeal of Cheongjujeoksinpaneukyakso(請誅賊臣罷勒約疏)｣ led by Lee Seung-hui to the king to repeal the treaty. As Gukchaebosang- undong(National Debt Redemption Movement) was proposed on January 29, 1907, he undertook the role as the leader of Goryeong area.&#x0D; Hong Wa Li Doo-hun was active, cultivating the acquaintance of his colleagues from Jumunpalhyeon School to publish Ganghoe(講會), Gangron(講論), Gyeolgye(結契), scripts that his mentors had recorded during his life, and travel essay. The purpose of these activities can be examined according to three aspects as follows. The first purpose is to build up solidarity between colleagues, for Hanju academic circles that faced crisis. The second and third purposes are to secure the framework the academic work of the mentor and to expand the extension of Hanju-Hakpa
Difficulties and limitations of the relationship between teachers and parents: Focusing on the process of changing the teacher identity of early childhood teachers

This study is an autobiographical narrative that deals with the difficulties and limitations of the relationship between teachers and parents, focusing on the process of changing the teacher identity of 'I', a researcher and research participant. Through this study, based on the roles of teachers and parents, various events surrounded by the relationship between teachers and parents and experiences such as emotions, thoughts, and perspectives felt in it were reflected. As a result, two categories were derived: 'I as me: I am a teacher' and 'I as you: I am a teacher and mother'.&#x0D; First, in 'I as me: I am a teacher', the researcher immersed herself in the role of a teacher with expertise and formed a teacher identity, and struggled with the actions and words of parents. 'Early childhood education expert? Just a young teacher' and 'a teacher who is uncomfortable both theoretically and emotionally' clearly show the hard and difficulties. Second, in 'I as you: I am a teacher and mother', the researcher became a parent and began to reflect on herself by forming a relationship with the teacher of her child. The contents of the reflection that appeared as 'a teacher who sincerely sympathizes' and 'a teacher who grows while watching a teacher of a child' show the process of the teacher's identity changing through a role change and reflecting on the relationship between the teacher and parents. Through this, we tried to find implications for this by examining the difficulties and limitations of the relationship between teachers and parents.
ANALISIS FAKTOR SOSIAL EKONOMI YANG MEMPENGARUHI TINGKAT KRIMINALITAS DI SELURUH KABUPATEN/KOTA PROVINSI BALI TAHUN 2017-2021

Crime is a social problem that can disturb security and comfort in society. From 2017 to 2021 the crime rate that occurred in Bali Province shows a downward trend, but this figure is still relatively high. The purpose of this study is to analyze the simultaneous and partial effects of education, unemployment, poverty, per capita income, number of police, and pandemic on crime rates in districts/cities of Bali Province. This study uses secondary data collected from the Bali Regional Police and the Bali Province Central Statistics Agency (BPS). The analysis technique in this study is using panel data regression which produces the best model, namely the Fixed Effect Model (FEM). The results of this study indicate that 1) simultaneously the variables of education, unemployment, poverty, per capita income, the number of police, and the dummy pandemic affect the crime rate in the districts/cities of the Province of Bali; 2) partially the variables of education, per capita income, and the pandemic dummy have an effect on the crime rate in the districts/cities of Bali province, while the variables of unemployment, poverty, and the number of police officers have no effect on the crime rate in the districts/cities of the province of Bali.&#x0D; Keywords: Crime, Education, Unemployment, Poverty, Per Capita Income, Number of Police, and Pandemic.?&#x0D;
PERNIKAHAN DALAM MASA IDDAH ISTRI PASCA SURAT EDARAN P-005/DJ.III/Hk.00.7/10/2021

This article examines the review of marriage after a circular issued by the Ministry of Religion regarding marriage during the wife's iddah period. In the circular there is a provision that the husband can remarry another woman if the wife's iddah period is over. If this is related to the provisions on the wife's iddah period, both in Islamic law and positive law, there are no rules that explain the husband's obligation to wait for the wife's iddah period when he wants to carry out a marriage with another woman. So the issuance of this circular letter will certainly have a positive impact and benefits for women who are undergoing the iddah period and will have time to improve their households. However, on the other hand, if these rules are not implemented properly, it is feared that hidden polygamy will occur by the husband. In this case, to dig deeper into this research, the author used a qualitative descriptive method so that the author conducted research directly in the field with several related sources.