Reviewerly/exHarmony huggingface dataset:
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks

Bilevel optimization have gained growing interests, with numerous applications found in meta learning, minimax games, reinforcement learning, and nested composition optimization. This paper studies the problem of distributed bilevel optimization over a network where agents can only communicate with neighbors, including examples from multi-task, multi-agent learning and federated learning. In this paper, we propose a gossip-based distributed bilevel learning algorithm that allows networked agents to solve both the inner and outer optimization problems in a single timescale and share information via network propagation. We show that our algorithm enjoys the $\mathcal{O}(\frac{1}{K \epsilon^2})$ per-agent sample complexity for general nonconvex bilevel optimization and $\mathcal{O}(\frac{1}{K \epsilon})$ for strongly convex objective, achieving a speedup that scales linearly with the network size. The sample complexities are optimal in both $\epsilon$ and $K$. We test our algorithm on the examples of hyperparameter tuning and decentralized reinforcement learning. Simulated experiments confirmed that our algorithm achieves the state-of-the-art training efficiency and test accuracy.
AlgebraicSystems: Compositional Verification for Autonomous System Design

Autonomous systems require the management of several model views to assure properties such as safety and security among oth-ers. A crucial issue in autonomous systems design assurance is the notion of emergent behavior; we cannot use their parts in isolation to examine their overall behavior or performance. Compositional verification attempts to combat emergence by implementing model transformation as structure-preserving maps between model views. AlgebraicDynamics relies on categorical semantics to draw relation-ships between algebras and model views. We propose AlgebraicSystems, a conglomeration of algebraic methods to assign semantics and categorical primitives to give computational meaning to relationships between models so that the formalisms and resulting tools are interoperable through vertical and horizontal composition.
Analisis Pengendalian Internal Dalam Pengelolaan Persediaan Obat Pada Apotek Di Pekanbaru

In the world of health, the existence of pharmacies is very important in the community to support the need for the supply of medicines. The phenomenon of poor management of medicine supplies still often occurs in pharmacies such as damaged medicine, counterfeit and expired medicine, so that it affects people who buy and causes losses. This study aims to obtain an overview and assess the effectiveness of the internal control system in managing medicine supplies at pharmacies in Pekanbaru. Methods This research uses a qualitative study approach with an analysis tool for components of the Internal Control System from COSO and uses the Miles &amp; Huberman data analysis method. The results of this study indicate that there are still pharmacies that have minimal management of medicine supplies, resulting in the sale of expired medicine, no destruction of medicine, the use of inventory systems outside the applicable regulations.
Monocular Video Frame Optimization Through Feature-Based Parallax Analysis for 3D Pipe Reconstruction

Structure-from-motion (SfM) techniques have been widely used for three-dimensional (3D) scene reconstruction from sequential video frames. However, for reconstructing narrow and confined spaces such as the interior of drainage pipes, selecting geometrically optimal frames is a major challenge, not only to reduce the number of needed frames but also to yield better geometry. This paper introduces a coarse-to-fine method to optimize the selection of monocular video frames based on a geometric criterion called feature-based parallax analysis for 3D pipe reconstruction. The proposed method was applied in two experiments with a monocular camera fixed on a customized robot. Experimental results show that our approach only requires respectively 9.66% and 3.15% of the number of frames. The spatial distribution of the retrieved frames was uniform and reasonable, enabling the successful SfM process to achieve a complete reconstruction of the pipe geometry.
Retracted article: Viktorov O.N. [The Mechanism of Formation of Value Orientations of the Personality of the Student]. Integratsiya obrazovaniya = Integration of Education. 2003; (2):95-100. (In Russ.)

This article by Oleg N. Viktorov (E-mail: viktorovon@mail.ru) has been retracted (i.e. withdrawn from the press) by the editor with permission of the publisher. The withdrawal of the publication (retraction) is due to the identification of significant borrowings from the dissertation: Ivanov V.N. [Elite School in the National Education System: Formation, Development, Forecasting]: Thesis of Doctor of Pedagogical Science 13.00.01. Cheboksary, 1999. 392 p. (In Russ.)
Road Traffic Congestion using Local Binary Pattern

Today's major problems in the world are traffic. reduce the traffic congestion in the world is several options. Now a days, road traffic is manager problem. The plan is proposed and implemented the entrepreneur and ceo of spacex and tesla using this tunnel boring tecnique. The clever technique is proposed by proposed work. To make used the image processing to estimate the traffic congestion in the power of real time. The representation of the visual traffic is provided by the proposed system which will help the authorities while monitoring the traffic. there are many techniques to proposed a system, it requires higher computation resource, the proposed system is lite on computation resource thus easier to run. Standard way of estimating the traffic equipment by examining the different ways like normal speed of the vehicle and so on. In the proposed system , the traffic is estimated like humans do. The humans analyze the traffic just by looking, just like that the proposed system works similarly by utilizing the advancement in recent technology in the field of Machine Learning algorithm and image processing. By utilizing this technology we can teach the computers to detect and estimate the amount of traffic in real time.
A Blockchain-Based Decentralized Machine Learning Framework for Performance Management: A Systematic Review

In this study, the literature on blockchain applications is assessed in different disciplines systematically. The goal is to study and illustrate how unique characteristics of this composition process might disrupt the business as usual in the current status of blocks chain technology and applications. This study discussed the main basis of numerous studies released in the last ten years in prominent scientific publications and different investigations in gray literature in order to improve our assessment and capture the continuously evolving blockchain sector. The technology of Blockchain (BT) has become one of the most inventive and fashionable technologies. The decentralized BT database highlights data protection and privacy. Moreover, the agreement approach involves safe and authentic information. However, more security issues are still highlighted, including major assaults and double the costs. Blockchain-based safe data requires data collection to handle the difficulties described above. Analysis results of these data show the pertinence of methods for master learning (ML). ML contains a significant amount of detailed decision-making data. In order to improve result accuracy, content validation and availability in ML are highly crucial. The combination results of the two methods (ML and BT) can be precise.
Destructive Messages

Destructive Messages argues that hate speech is dangerous not only when it poses an immediate threat of harm. It is also dangerous when it is systematically developed over time, becoming part of a culturally acceptable dialogue which can foster the persecution of minorities.Tsesis traces a causal link between racist and biased rhetoric and injustices like genocide and slavery. He shows that hate speech and propaganda, when left unregulated, can weave animosity into the social fabric to such a great extent that it can cultivate an environment supportive of the commission of hate crimes. Tsesis uses historical examples to illuminate the central role racist speech played in encouraging attitudes that led to human rights violations against German Jews, Native Americans, and African Americans, and also discusses the dangers posed by hate speech spread on the Internet today. He also offers an examination of the psychology of scapegoating. Destructive Messages argues that when hate speech is systematically developed over time it poses an even greater threat than when it creates an immediate clear and present danger. Tsesis offers concrete suggestions concerning how to reform current law in order to protect the rights of all citizens.
Quantum Communication Is the Next Level of Wireless Networking and Security

A new technology approach for improving the efficiency of BB84 protocol for Q-Manet is proposed in this chapter. One of the valuable factors in quantum cryptography is that it ensures vital protection. This chapter explains that the quantum communication for Q-Manet can be successfully sent through both quantum channels and classical channels. The tradition of quantum channel technique for quantum communications on Q-Manet are analyzed, which ensures the way to remove the practical difficulties of secure communication. This chapter provides a new mechanism for improving the communication and thereby improving the efficiency of BB84 protocol quantum communication for Q-Manet.
Heart Failure Prediction Technique using Complex Event Processing

According to the WHO (World Health Organization) chronic diseases such as cancer, coronary heart disease, diabetes mellitus type 2, and chronic obstructive pulmonary diseases are among the world's most common diseases constitute because of this about 60% of all deaths occur in world. Here, we propose new health monitoring techniques to the prediction of heart failures. In this, we propose edge-computing based Complex Event Processing (CEP) techniques with the Remote Patient Monitoring (RPM) for the remote healthcare applications. This approach is based on the CEP it is combined with the statistical approach. For the extraction heart defects of patients C4.5 algorithm and, to the prediction of heart failure multilayer perceptron (MLP) model will be consider. First phase is to collects health parameters. Second phase is to process the collected data using an analysis rule. This proposed system continuously monitors heart patient and it predicts heart failures strokes based on the related symptoms. When a critical condition occurs then it alters patients and cardiologist.
Retrospective Analysis of the Process of Education at the University

The purpose of the article is to conduct a comparative analysis of the opinions of teachers on the process of educating a student, his objectivity and specificity. In the article is shown that the situation in domestic education, which developed in the 90s of the XX century, the educational component of higher education in Russia was almost completely destroyed, and there was a significant narrowing of the target orientation of higher education to the tasks of professional and activity formation of a specialist, instead of a comprehensive development of the student’s personality. The article provides a comparative analysis of the opinions of the most prominent teachers of the current and earlier period of domestic pedagogy on the process of educating a student. Since educational interaction with students did not stop in some schools, some practices of educational interaction that are successfully used in schools are proposed for consideration for transferring to university realities. Some possibilities of educational potential in the university are noted, including the effectiveness of education through work with leadership qualities, the use of the team as an educational environment, etc. The concept of “university identity” is derived as an important criterion for the upbringing of the student, as well as the result of pedagogical interaction with the student. In conclusion, it is concluded that despite the introduction of an exemplary upbringing program in an educational organization of higher education, upbringing remains a secondary appendage of the educational process. To solve the identified problem, the need to work with the teaching staff was noted.
The Development of Digital Technology and Changes in Performance Esthetics

Abstract Digital technology has ushered in the era of immersive movies. These developments have generated new requirements in performance esthetics that are detailed below. For one example, there are new demands for certain types of exaggeration and embellishment as well as more romance and pretense in documentary-style performances. There is also demand for more stylized and cartoonish performance formats. These performances have to be accurate, adequate, and to the point. Emotions should be expressed layer by layer, unrolling smoothly and delicately throughout the performance. Training in non-physical performances should be added to green- and blue-screen performance training. In solo performances without partners, actors and actresses should dramatically characterize their roles and consciousness when acting in the “void” of the studio. The digital era has strengthened attention, comprehension, emotions, etc. as performance attributes. The interaction between film performances and digital technology has contributed to the integration of Chinese performance discourse with the international discourse. Together, these factors have constructed a new type of performance esthetics in Chinese films.
The Science of Instruction: Contributions of Special Education Research to Reading Science

PUBLISHED: Toste, J. R., &amp;amp; Lindström, E. R. (2022). The science of instruction: Contributions of special education research to reading science. The Reading League Journal, 3(3), 30-39. ---------------------- Special education researchers have contributed in innumerable ways to the knowledge base we call the “science of reading.” In this paper, we provide a brief overview of the history of special education research to provide context for the field’s focus on scientific inquiry and problem-solving to understand the effectiveness of instructional methods. Next, we highlight two unique contributions to reading science from special education research: (1) explicit instruction, and (2) progress monitoring to drive data-based instruction. These practices have critical implications for instruction that supports the needs of both beginning readers and struggling readers, and they allow teachers to engage in informed decision-making to intensify and individualize interventions for students with disabilities. Finally, we detail aspects of this work that require further investigation in order to optimize reading intervention effectiveness for all learners.
Netspeak virtual ethnography as culture in the Kaskus virtual community

The Internet’s rapid development has created a new space, namely digital space, in people’s life. This digital space, which is created by the advancement in information and communication technology, provides an alternative for the community to get an advantage. The community can engage in a variety of activities. One of them is to communicate. Due to the presence of digital space, a new communication culture by using Internet has emerged. The purpose of this research is to discover how Internet speech (Netspeak) is used in conversation in the Kaskus online community. Virtual ethnography was used as a research method. This study attempted to find out how culture, interactions, and structures shape the cybersocial reality in the Kaskus forum. This study describes various Internet languages that users use to express and communicate what they have in mind. The slang language is used by the Kaskusers to: (1) familiarize themselves with others, (2) express themselves, (3) inform about something, (4) give their regret, (5) insinuate, and (6) to buy and sell. In comparison, emoticons are used as: (1) the sign of friendship, (2) the sign of expressing emotions, (3) the sign of satire, and (4) the sign of telling something.
HABITUS HOW TO DRESS UIN KH. ABDURRAHMAN WAHID PEKALONGAN

Entering the digital transformation era in 2022, the development of the fashion or clothing world is now very fast and unlimited. However, from these developments there is a negative side that we can feel together, especially in the world of lectures. In the midst of the rapid development of fashion or clothing, there are still many students who cannot choose which clothes are good and which are bad. This is certainly a problem that must be resolved, especially for students who do not pay attention to their dress ethics when on campus. In solving this problem, the method used is the method of awareness/increasing understanding of a problem. The activity carried out is to provide an understanding of good and correct dress ethics for students. The impact that arises from this activity is that the participants or students understand more about good and correct dress ethics according to the rules set by the KH State Islamic University. Abdurrahman Wahid Pekalongan.
Audit Sistem Informasi Aplikasi Gramedia Digital Menggunakan Framework COBIT 5

Gramedia Digital application is an online bookstore application issued by a bigest one bookstore in Indonesia, Gramedia Digital application itself is a good innovation in the digital era now even though it has been used by users but there are still some obstacles or lack of information contained on the application, therefore it requires maturity and capability assessment of the application. The COBIT 5 framework is an IT audit standard that has been issued by ISACA, COBIT 5 itself has a total of 11 domains but this time the research only focuses on 5 domains namely EDM05, APO05, BAI04, DSS01, MEA01. By spreading questionnaires and conducting interviews with questions that are guided by these domains and have 117 respondents, then after getting results then calculated using the maturity level formula then calculated on average using the capability level formula. The results of the maturity and capability level calculations from Gramedia Digital applications resulted in an average of EDM05 with a result of 2.7, APO05 with a result of 2.8, BAI04 with a result of 2.7, DSS01 with a result of 2.7, MEA01 with a result of 2.8. And the average capability generated by these domains is rounded to 3. The conclusion in this study Gramedia Digital application has not met the targeted target of 4
METODE DISKUSI UNTUK MENGEMBANGKAN KEAKTIFAN DAN HASIL BELAJAR KOGNITIF MATEMATIKA SISWA PADA PEMBELAJARAN DARING

Activeness and cognitive learning outcomes of students are important things to achieve success in the learning process. However, the fact is that the activeness and cognitive learning outcomes of students in a private high school in Tomohon, North Sulawesi are still not optimal in the online learning process carried out by the author. This is because the teacher is less precise in choosing and implementing learning methods. To overcome this, the author uses the discussion method in online learning. This research using the descriptive qualitative method aims to describe the implementation of the discussion method in developing the activeness and cognitive learning outcomes of students in online learning. The instruments in this study consisted of the teacher's reflection journal, lesson plans, and test of students' cognitive learning outcomes. With the research subject of class XI IPA 2 students, totaling 27 students. The results showed that there was a development in students' activeness and cognitive learning outcomes after applying the discussion method. In conclusion, a discussion process such as dividing students into small groups can provide broad opportunities for students to be active during learning so that students can be directly involved in solving problems and lead to optimal learning outcomes.
KEPUASAN MAHASISWA KEDIRI TERHADAP PENGGUNAAN MODEL BLENDED LEARNING PADA MATA KULIAH STATISTIK SAAT PANDEMI COVID-19

The purpose of this study was to compare the level of student satisfaction with the use of the blended learning model as a learning media for course statistics during the Covid-19 pandemic for IAI Tribakti Kediri students with students from several Kediri private universities. This study uses a quantitative approach with comparative descriptive techniques. The subjects of this study were 130 students of IAI Tribakti Kediri with students from several Kediri private universities. The data collection technique in this study used a questionnaire. The data analysis technique in this study used descriptive analysis and independent sample t test. From the results of data analysis, the tcount value is 0.089 &lt; 1.657 t5%: 128, this means that there is no difference in the level of student satisfaction with the use of the blended learning model as a learning medium for statistics courses during the Covid-19 pandemic at IAI Tribakti Kediri students and students from several universities. private Kediri. Where 58% of students showed a good response to the use of blended learning.
The effects of writing as a pre-speaking activity in a social media-integrated speaking class on college students’ speaking skills

The present study aims to explore the effects of implementing writing as a pre-speaking activity in a social media-integrated speaking class on Korean EFL university learners’ speaking skills. It also tries to examine their attitudes and perceptions toward this new instruction. This study was conducted with fifty Korean university students during one semester. The participants were assigned to an experimental group (n=25) who engaged in writing as a pre-speaking activity in a social-media integrated speaking class and a control group (n=25) who received a traditional speaking instruction. To collect data, a pre- and post-speaking test and a survey on students’ attitudes and perceptions were implemented. A survey measured the participants’ overall learning experiences and affective attitude such as motivation, interest, confidence, and anxiety. The quantitative data was analyzed by t-tests while the qualitative data was analyzed by a coding procedure. The results presented that using writing as a pre-speaking activity has a positive effect on the students’ speaking proficiency and this new instruction is more effective than a traditional classroom. This study suggests that integrating wring as a prespeaking activity into a speaking course can be used as an effective teaching approach to improving speaking skills.
Project Management in the Field of Culture and Art

Project management practices in various spheres of human activity have received a considerable interest over the past few decades on the territory of the Russian Federation. In the modern world, considering an increase in the role of culture in socio-economic transformations, project management can be viewed as the most effective way to create the combination of traditional and innovative principles and the necessary measures to address various problems. However, little is known about the vital processes of project management in the arts sphere and the obstacles encountered in its implementation. The proposed study generalizes the experience of project application and seeks to define a methodology for strengthening cultural policy with the project-based approach. &#x0D; The relevance of the findings for governmental and non-governmental employees and the potential implications for future research will be discussed.