Reviewerly/exHarmony huggingface dataset:
Museum “Rifle and Guitar” in the service of school education

Below is an article by Mikhail Mikhailov, the ideological inspirer, author and head of the school military-historical and literary-musical museum “Rifle and Guitar”, solemnly opened on November 25, 2022, at school No 1515 in Moscow. We have taken the liberty of writing this short preliminary text to warn the reader that the published material does not fully meet the formal requirements for academic work, but at the same time it is a valuable source demonstrating new directions in the development of school museums — the largest group of museums in Russia. The fact is that the Museum “Rifle and Guitar” is significantly different from many other military-historical or literary institutions of this kind: the author naturallyn positions the museum of military bard song as an organic representative of both of these profiles. In addition, a specific function lies in the fact that the creative cultural heritage born in the Soviet-Afghan war (1979–1989), which is little talked about in society, is being transformed into a museum filed. However, the author perfectly illustrates the phenomenon that served as an incentive for the creation of the museum: the bard song of “Afghan” deservedly became one of the main instruments of “people’s memory” about the “last war of the great power”, and its authors, performers, publishers and curators are among the creators and frequent museum guests. Thus, we can talk about a special, ecological mission that the museum carries: the intangible objects of the historical and cultural environment are preserved and actualized with the help of its direct bearers, not only issues related to school education and upbringing are resolved, but also the urgent social problems of the society’s reconciliation with an “unpopular” war.
Triple Watermarking Scheme for Digital Images

Digital watermarking of text, image, and video data has become an indispensable strategy for the authentication, validation, and ultimate protection of digital content. This study aims to develop a resilient, imperceptible watermarking scheme for digital images. A triple transform domain watermarking scheme based on stationary wavelet transform (SWT), discrete cosine transform (DCT), and singular value decomposition (SVD) is presented as a comprehensive, adaptable, and resilient solution for safeguarding digital content in a dynamic digital environment. The proposed scheme leverages the unique strengths of SWT, DCT, and SVD. SWT was used to decompose the image into various frequency bands, whereas DCT was applied to these high-frequency components, enhancing the security of the watermark. SVD was then used to decompose the image matrix into singular values, providing further robustness. The watermarking algorithm was designed to be both imperceptible and robust against various attacks. The imperceptibility and robustness of the scheme were evaluated on three publicly available datasets using metrics such as mean square error (MSE), peak signal-to-noise ratio (PSNR), normalized cross correlation (NCC), and bit error ratio (BER). The results indicate that the SWT-DCT-SVD watermarking scheme is both robust and imperceptible and compares relatively well with state-of-the-art schemes. Keywords: watermarking, zigzag process, stationary wavelet transform, discrete wavelet transform, discrete cosine transform, embedding, extraction. https://doi.org/10.55463/issn.1674-2974.50.10.13
SEM-O-RAN: Semantic O-RAN Slicing for Mobile Edge Offloading of Computer Vision Tasks

The next generation of mobile networks (NextG) will require careful resource management to support edge offloading of resource-intensive deep learning (DL) tasks. Current slicing frameworks treat all DL tasks equally without adjusting to their high-level objectives, resulting in sub-optimal performance. To overcome this, we propose <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SEM-O-RAN</monospace> , a semantic and flexible slicing framework for computer vision task offloading in NextG Open RANs. Our framework accounts for the semantic nature of object classes as well as the level of data quality to optimally tailor data compression and minimize the usage of networking and computing resources. In fact, we show that different object classes tolerate different levels of image compression while preserving detection accuracy. To address the above issues, we first present the mathematical formulation of the Semantic Flexible Edge Slicing Problem (SF-ESP), which turns out to be NP-hard. We thus define a greedy algorithm to solve it efficiently, which is also able to always select the resource allocation that yields the best resource utilization, whenever multiple allocations satisfy the DL task requirements. We evaluate <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SEM-O-RAN</monospace> 's performance through extensive numerical analysis and real-world experiments on the Colosseum testbed, considering state-of-the-art computer-vision tasks and DL models. The obtained results demonstrate that <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SEM-O-RAN</monospace> allocates up to 169% more tasks and obtains 52% higher revenues than the state of the art.
An Analysis of Different Factors' Contribution to Facebook Page Likes

On the basis of big data regarding a publicly-available dataset about statistics of 500 posts published in 2014 on Facebook's page of a worldwide renowned cosmetic brand, this research aims to exhibit a comprehensive and rational deducing progress in character with the justified and formulated variables and visible results to be instrumental in the analysis of the factors' contribution to page total likes. In this paper, the generalized linear regression on the page total likes against the candidate covariates is drew to analysis, Bayesian lasso was used for selecting the essential variables and the Metropolis-Hastings algorithm was applied to obtain the posterior draws of the parameters.
Retraction Notice: SeqGAN-APG: Sequential Generative Adversarial Networks for Automatic Patch Generation

As software systems grow in size and complexity, the task of manual debugging consumes more time in the development cycle and opens up to more severe and frequent human error. Researchers have developed systems for automated patch generation to address this problem, which attempt to reduce the manual work required for diagnosing and addressing faulty code. Machine Learning models, which can leverage large amounts of information, for example, from large code repositories, promise one possible set of solutions for automated patch generation. In particular, researchers have recently used sequential generative adversarial networks (GANs) successfully in text-based prediction tasks. We thus propose a model for sequential generative adversarial networks for automated patch generation (SeqGAN-APG), which divides the task of patch generation into a two-part adversarial framework that learns the distribution of sequential features in non-buggy code while also learning to generate sequential features which mimic that distribution. Our approach is novel not only in terms of its application of GANs to an untested kind of sequential data but also in terms of the kinds of sequential features which we implement, going beyond the typical token-based approach.
To Probe or Not to Probe? Reconciling High Speed Probing with Ethical Probing

What if tomorrow, hundreds, thousands, or even more people start sending 100,000 packets per second into the network using high speed probing? It is reasonable to think that this would not be a desirable scenario for the Internet. However, this might already be taking place, as high speed probing techniques such as ZMap [3] and Yarrp [ 1], the high speed evolution of Ping and Traceroute, are extensively used by the network research community and beyond. If they can definitely help for improving our understanding of the Internet, very little work has been done to examine their potential negative impact, i.e., their potential harm to the Internet's infrastructure, or their harm to the quality of measurement results. In this paper, we quantify the risks of those techniques, and provide recommendations on how to put in place high-speed ethical probing methods
Mobile application for managing common emergencies

anywhere, that’s why first aid is needed. The creation of the application was to achieve a way to deliver adequate knowledge to people for handling without professional help on the site of an accident or an emergency. Most people are usually not knowledgeable in what to do in first aid situations, and that is because nobody has had easy access to the necessary information it requires. The aim of the study is to create an application that gives awareness and knowledge to people on the various methods and practices on first aid care. The purpose of this study is to develop the Mobile Application for Managing Common Emergencies by using the prototyping methodology together with the conceptual framework. The application has been designed by considering necessary functions such as location service and first aid treatment information. The result of the development and testing are discussed. The application will educate and instruct the users on how to perform proper first aid. Giving the people ways or the means to help people in need instead of waiting for help to arrive. The researcher was able to develop an application with the first aid registry of all the newer first aid procedures all certified by Philippine Red Cross to give access to everyone on what to do to administer first aid procedures. Using the ISO 25010 The evaluation yielded positive results, with Functional Suitability scoring an overall weighted mean of 4.19, Performance Efficiency at 4.04, Usability at 4.31, Compatibility at 4, and Portability at 4.39. Utilizing a confusion matrix with Weka Software, the application demonstrated an 88.2353% correctly classified instances and 11.7647% incorrectly classified instances, indicating the effectiveness of the algorithm. This study can be possessing significant potential for increasing students learning in term of some accident occurrence and enhancing their learning effectiveness using mobile application-based learning. It can be developed and implementation especially in health-related units or courses.
Narration of Sexual Harassment in Maheen Usmani’s “The Mercurial Mr. Bhutto and Other Stories”: A Transitivity Analysis

The purpose of this study is to focus on the portrayal of child sexual harassment experiences in the chapter "Baby" of the book "The Mercurial Mr. Bhutto and Other Stories" using transitivity processes and their components in order to provide a descriptive understanding of the narrative. Child Sexual behavior is directed against a child when inappropriate or coercive usually before the age of consent, it can cause physical and psychological harm. The methodology comprised a qualitative investigation by manually applying Halliday's Transitivity Analysis to examine the Process, Participants, and Circumstantial Elements of each clause following a descriptive analysis. The result reveals that the most used Transitivity Processes, Participants, and Circumstantial Elements are Material, Goal, and Location. Using this research as a paradigm, future research in literature should investigate transitivity analysis for more understanding of sexual harassment narratives. To sum up, this study closes a significant research gap by using transitivity analysis to offer a descriptive comprehension of the narrative of sexual harassment.
Code-Switching on Computer-Mediated Discourse: An Analysis of the Facebookrs Walls as Second Language Learners

This article examines Facebook's language usage and students' code-switching behaviour, highlighting the internet's revolution in communication and the common tendency for users to mix or switch languages. The study investigates English language usage frequency, code-switching types, and Facebook's most important topics using Glaser and Strauss' (1998) Grounded theory and Kelly's (2009) and Romaine's (2009) designs for categorization, using a mixed method research approach. The study reveals that 43% of Facebook users use English, with 60% using intra-sentential code-switching. Conversations are the most popular topic, with other secondary purposes. Facebook language is primarily based on fragmented intra-sentential code-switching. Facebook language is becoming a concern in academic writing, necessitating educators to recognise its recurrent inclination in written communication. Scholars should research the influence of Facebook on academic language and its potential as an international medium while also considering whether this new medium benefits people worldwide or causes language death.
Attitude of Prospective Teachers towards the Practicum in Teachers’ Training Institutes of Sukkur and Khairpur Districts

Practicum is one of the key components for the teachers in Bachelor of Education (B.Ed.) Elementary Program. This paper reports the findings of a research that was aimed to analyze the attitude of prospective teachers (PTs) towards practicum. This research was quantitative in design. Means, Standard Deviation, t-test and ANOVA statistics were used to interpret the data. The study analyzed that there is positive attitude of PTs towards Practicum Course. It was found that female PTs has more statistically significant attitude than male PT towards the implementation of practicum activities in classroom. The study recommends for principals of TTIs to take necessary measures to improve the implementation of teaching practice course. Cooperative teachers should be orientated about the effective implementation of practicum component. This will raise the morale of PTs and will improve their attitude towards teaching profession.
Towards Database and Serverless Runtime Co-Design

In serverless computing, minimizing database access latency is crucial, but databases predominantly reside in cloud environments, necessitating costly network round-trips. Embedding an in-process database library such as SQLite into the serverless runtime is the holy grail for low-latency database access. However, SQLite's architecture limits concurrency and multitenancy, which is essential for serverless providers, forcing us to rethink the architecture for integrating a database library. We propose changing the SQLite virtual machine to provide asynchronous bytecode instructions to avoid blocking in the library and decoupling the query and storage engines to facilitate database and serverless runtime co-design.
Analisis Perbandingan Pengukuran Jarak Algoritma K-Nearest Neighbor Dengan Menggunakan Data Breast Cancer Dan Data Heart Disease

&#x0D; &#x0D; &#x0D; &#x0D; Breast Cancer is a cancerous condition that appears in the breast area. This type of cancer is often experienced by women with a characteristic feature of Breast Cancer, namely the appearance of unusual lumps in the breast area. Heart or Heart Disease is a type of Non-Communicable Disease (PTM): which results in a fairly high mortality rate. Heart Disease is caused by several risk factors including smoking, an unhealthy lifestyle, high cholesterol, hypertension, and diabetes.&#x0D; Based on these facts, an appropriate algorithm is needed to classify Breast Caner and Heart Disease as an effort to prevent an increase in mortality rates due to Breast Cancer and Heart Disease. And the algorithm that will be used is the K-Nearest Neighbor algorithm with 3 distance measurement methods, namely Euclidean distance, Manhattan distance, and Minkowsky distance .&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; From the stages that have been carried out, the final results of the Euclidean distance method obtained an Accuracy value of 80.88% Breast Cancer data at K = 11, and 78.69% heart Disease data at K = 11. The Manhattan distance method obtained an Accuracy value of 89.71% of Breast Cancer data on K=11, and 78.69% of Heart Disease data on K=20.The Minkowsky distance method obtained an Accuracy value of 98.53% of Breast Cancer data on K=11, and 79.41% of Heart Disease data on K=11. This shows that the Minkowsky distance method works more optimally than the Euclidean distance and Manhattan distance methods.
Exploring the implications of the educational governance of CEECES in the U.S. for Korea

[Purpose] This study explores how to establish a local and village-centered governance system for continuity between educational institution for early childhood and elementary school(CEECES) in Korea.&#x0D; [Methods] To do so, this study summarized the current status of system of CEECES in Korea and compared it to the U.S. Pre-K-12 systems.&#x0D; [Results] Based on the U.S. Pre-K-12 system, This study found the problems of the CEECES that early childhood education institutions are divided into daycare centers and kindergartens, there is a lack of teacher education programs related to alignment, curriculum alignment is based on simple transitions, and there is a lack of parental involvement.&#x0D; [Conclusion] To build Korean-style governance of CEECES, It is necessary for the District Office of Education to play the role of a control tower, the school principal to play the role of a leader in education governance, and a robust meta-governance mechanism between the government and the governance of CEECES.
KAJIAN SISTEM PENGELOLAAN SAMPAH DI KOTA PALANGKA RAYA DAN PENGARUHNYA TERHADAP KUALITAS AIR LINDI

Waste management in Palangka Raya City is in the Km Landfill. 14. The landfill is divided into 2 activities, namely waste management and leachate management installation. The waste management system is a method applied at the end point of waste processing. Waste collected at the landfill arrives at the landfill. The purpose of this study is to analyze waste generation, waste composition, and waste sources, analyze whether the waste management method affects the quality of leachate water and groundwater of the surrounding residents, and analyze the pollution index in the groundwater of the surrounding residents. This study uses a quantitative descriptive method by analyzing leachate and groundwater samples examined at the regional health laboratory. The results of these samples will be compared with leachate water quality standards, groundwater quality standards for sanitary hygiene purposes, and groundwater pollution index tests. The quality of leachate is unaffected by the operational method of waste processing. All leachate water samples for the parameters TSS and Cadmium are below the quality standard for final waste processing, except for the TSS value at station St2, this is because the wastewater is still in the waste pile area and has not yet entered the leachate management installation pond. The results of groundwater sample tests in several residents' homes for the pH parameter are below the quality standard. The pollution index results show that the water used daily is categorized as lightly polluted.
Mengatasi Kesulitan Menulis Artikel Ilmiah Melalui Kegiatan Academic Writing Series

The difficulty of writing and publishing scientific articles in reputable journals is something that is often experienced by academics, especially in universities. Various difficulties are experienced, ranging from language, time, cost, and access to literature expressed by those who have been difficult to realize their obligations. This Academic Writing Series (AWS) activity aims to not only increase the knowledge of academics about the world of writing, but also share strategies so that they are more likely to write and publish their scientific articles. This activity is carried out online through zoom meetings for 10 meetings held every week. Participants responded well to AWS activities as indicated by statements regarding the organization and materials presented. From this activity, it is known that the basic needs of academics regarding writing strategies and scientific publications still need to be improved. Academics' knowledge of how to write easily and effectively is also still limited. AWS activities framed in community service emphasize that various strategies are needed in an effort to improve the writing skills of academics so that they are able to disseminate their research results more widely through publications in reputable journals. This activity is only carried out through online media so it needs to be complemented by face-to-face meetings so that interaction can be maximally realized both between presenters and participants and among fellow academics involved in this AWS activity
AI chatbot-based learning: alleviating students' anxiety in english writing classroom

In the ever-evolving landscape of education, integrating innovative technologies can enhance the learning experience for students. ChatGPT, a cutting-edge language processing tool developed by OpenAI, offers exciting possibilities for teaching writing. This advanced AI model can be a powerful asset in the classroom, providing students with valuable resources and support as they develop their writing skills. Seventy-three college students participated in the quasi-experiment. The findings demonstrate that AI chatbot-based instruction reduces students' anxiety about learning English writing. AI chatbots offer instant feedback, allowing students to correct errors immediately. This quick feedback loop can prevent students from ruminating over their mistakes, thus reducing anxiety. With AI chatbot, students can learn at their own pace. They can take time to understand concepts, practice writing, and receive feedback without feeling rushed. This flexibility can alleviate the pressure of strict deadlines in traditional classroom settings. The findings imply teachers to implement chatbot-based learning in the classroom.
Virtual university education: opportunities to respond to current changes and challenges

Virtual education at the university has become a reference to undertake actions with great contributions to current higher education. In relation to this, the general objective of this study was to analyze virtual university education as an opportunity to respond to current changes. To this end, a review of a series of research works related to the subject was carried out. From the methodological point of view, content analysis was used, through a documentary-bibliographic review of studies published in recent years; however, information from previous years, considered of value for this research, was also taken into account. For the compilation of information sources, the Internet database of reliable specialized academic sites was used. The most relevant results show that virtual education in higher education is a valuable tool that offers multiple possibilities for the development of the teaching-learning process in an environment consonant with today's educational demands. It is concluded that the incorporation of the virtual university education approach as a process of learning facilitation in national universities, contributes to the necessary transformation that the current reality imposes in terms of what corresponds to the university academic formation of a quality, competent graduate, who responds to the demands of the highly changing and demanding environment.