Reviewerly/exHarmony huggingface dataset:
A Self-Adaptive Robustness Optimization Method With Evolutionary Multi-Agent for IoT Topology

Topology robustness is critical to the connectivity and lifetime of large-scale Internet-of-Things (IoT) applications. To improve robustness while reducing the execution cost, the existing robustness optimization methods utilize neural learning schemes, including neural networks, deep learning, and reinforcement learning. However, insufficient exploration of reinforcement learning agents for topological environments is likely to yield local optima. Moreover, convergence speed is influenced by the sparse reward problem generated while exploring topological environments. To address these problems, this study proposes a self-adaptive robustness optimization method with an evolutionary multi-agent for IoT topology (ROMEM). ROMEM introduces a new multi-agent co-evolution scheme that leverages a non-deterministic strategy to extend the exploration in multi-directions, enabling the reinforcement learning agent to transcend local optima. Furthermore, ROMEM presents a novel distributed training mechanism for multiple agents to accelerate convergence. Experimental results demonstrate that ROMEM can achieve multi-directional collaborative training and outperform other state-of-the-art learning-based robustness optimization methods in terms of convergence efficiency and robustness.
A Refinement Method for Single-stage Object Detection Based on Progressive Decoupled Task Alignment

The parallel branches with independent optimized classification and localization capabilities are widely used in single-stage object detection. Defects such as feature conflicts, low level of information interaction, and empirical sample allocation scheme lead to weak spatial consistency of the outputs from different branches. In this work, we propose a Progressive Decoupled Task Alignment (PDTA) that enhances the information interaction between tasks while reducing the degree of feature coupling, and adopts a strategy based on sample screening and learning to achieve task alignment. First, we design the Discrepant Feature Decoupling Module (DFDM) embedded with the novel Oriented Decoupling Convolution (ODC) for the coupled features of the shared input, and the features extracted by ODC are utilized for disentanglement through the feed-in scheme with differences. Second, the Probabilistic Mapping Interaction Head (PMI-Head) utilizes the probabilistic mapping method to enhance task-specific semantics by information interaction. Finally, the network’s common attention to the content and position of the target is enhanced through the metric in the proposed Relevance-Guided Adaptive Task Alignment (RATA), in which an exponentially decaying manner is used to preserve the training samples that are more efficient for both tasks. During training, task-aligned learning is performed by Relevance-Guided Loss. Experiments on MS COCO and DIOR datasets demonstrate the effectiveness of our method, PDTA achieves better performance for object detection.
Jordanian Women’s Perceptions of Using Social Media: Advantages and Drawbacks

The main objective of this research is to consider the impact of social networking sites on Jordanian women, taking into account many factors such as social status, income, education, and others. A questionnaire was designed with seventy-three criteria varying between five basic economic, political, scientific, cultural, and social domains. The results ranged from the use of social networking sites for shopping, communicating with friends, and raising the level of culture and awareness. On the other hand, communication sites negatively affect women, as some women believe that they waste time and money, and there were no significant differences according to any of the variables (the nature of the area residence, family income level, and academic level). Proceeding from this discrepancy between advantages and drawbacks, the researchers recommend supporting and developing benefits, paying attention to risks, and avoiding them.
How the balloon analogy is almost perfect

If space-time is expanding, then why does gravity seem to pull things together? Physics can be weird, says Chanda Prescod-Weinstein
The Role and Impact of Employee Resource Groups in Higher Education

Montgomery College (MC) is an educational institution known for its diverse student body and broad range of programs. Established in 1946 in Montgomery County, Maryland, MC is home to over 50,000 credit and noncredit students from more than 155 countries. Alongside its student body, MC prides itself on its highly dedicated faculty and staff, over 3,500 in total, who are instrumental in driving the college’s commitment to academic excellence and inclusivity.&#x0D; Workplace belonging is a cornerstone for a productive, positive, and cohesive work environment. Studies have shown that feelings of belonging can directly contribute to increased job satisfaction, happiness at work, and reduced chances of burnout (Black et al., 2019). These feelings also foster institutional commitment and stability and spur creativity and innovation, elements crucial for the continued success of an educational institution (Zambrana, 2018). MC is no different and has emphasized fostering a strong sense of community within its ranks.&#x0D; One of the ways MC achieves this is through the Montgomery College Rising Professionals Association (MCRPA). Established in 2011, MCRPA is an employee resource group (ERG) developed for employees by employees, and it seeks to empower its members and support them in their professional journey. The association nurtures a sense of belonging for employees and promotes collegiality, community engagement, and collaboration and, through these efforts, promotes and contributes to student success and productivity.
AN ANALISYS OF SPEAKING INTERACTIVE PROBLEMS OF ELEVENTH GRADE STUDENTS IN HOSPITALITYDEPARTMENT IN SMK 17 AGUSTUS 1945 CLURING

Speaking interactive is one type of speaking that has long duration in conversation. This research aimed to find the problem and the problem solving in speaking interactive of student in SMK 17 Agustus 1945 Cluring. The research design was descriptive qualitative. The respondents were 136 which determined by using random sampling. The data were taken by using online system of questionnaire and interview. The data from questionnaire was analysed by using Likert scale. The data analysis was determined based on theory linguistics problem and non-linguistic problem. There are 3 problems in linguistic and there are 5 problems in non-linguistic. Analysis questionnaire and interview data showed that students at SMK 17 Agustus 1945 Cluring have high problem in speaking interactive. The type of speaking interactive problems had by students showed the percentage score of each indicator are 63% in speaking interactive problem, 62% in lack of grammar, 67% lack of vocabulary, 73% lack of pronunciation, 62% in lack of confident, 65% little talking time, 51% in lack of motivation, 61% in lack of listening skill, and 62% in lack of giving feedback. Based on the data result, the problem solving that is suitable in speaking interactive is having interactive conversation through Small Talk, Ome-Tv, and watching YouTube channel continuously in daily life.
Weighted Guided Optional Fusion Network for RGB-T Salient Object Detection

There is no doubt that the rational and effective use of visible and thermal infrared image data information to achieve cross-modal complementary fusion is the key to improving the performance of RGB-T salient object detection (SOD). A meticulous analysis of the RGB-T SOD data reveals that it mainly consists of three scenarios in which both modalities (RGB and T) have a significant foreground and only a single modality (RGB or T) is disturbed. However, existing methods are obsessed with pursuing more effective cross-modal fusion based on treating both modalities equally. Obviously, the subjective use of equivalence has two significant limitations. Firstly, it does not allow for practical discrimination of which modality makes the dominant contribution to performance. While both modalities may have visually significant foregrounds, differences in their imaging properties will result in distinct performance contributions. Secondly, in a specific acquisition scenario, a pair of images with two modalities will contribute differently to the final detection performance due to their varying sensitivity to the same background interference. Intelligibly, for the RGB-T saliency detection task, it would be more reasonable to generate exclusive weights for the two modalities and select specific fusion mechanisms based on different weight configurations to perform cross-modal complementary integration. Consequently, we propose a weighted guided optional fusion network (WGOFNet) for RGB-T SOD. Specifically, a feature refinement module is first used to perform an initial refinement of the extracted multilevel features. Subsequently, a weight generation module (WGM) will generate exclusive network performance contribution weights for each of the two modalities, and an optional fusion module (OFM) will rely on this weight to perform particular integration of cross-modal information. Simple cross-level fusion is finally utilized to obtain the final saliency prediction map. Comprehensive experiments on three publicly available benchmark datasets demonstrate the proposed WGOFNet achieves superior performance compared with the state-of-the-art RGB-T SOD methods. The source code is available at: https://github.com/WJ-CV/WGOFNet.
THE CONTRIBUTION MADE BY MYKOLA YARMACHENKO INSTITUTE OF SPECIAL EDUCATION AND PSYCHOLOGY OF THE NAES OF UKRAINE TO DEVELOPMENT OF THE THEORY AND PRACTICE OF SPECIAL PSYCHOLOGY

The article examines and analyses the contribution made by Mykola Yarmachenko Institute of Special Education and Psychology of the National Academy of Educational Sciences of Ukraine to development of the theory and practice of special psychology.&#x0D; The article highlights that Ukrainian special psychology faces the tasks to reflect methodologically and understand special psychology historical path and current status.&#x0D; Special psychology was an integral part of defectology, was an applied branch of knowledge by its nature and was formed as a multi-disciplinary discipline.&#x0D; After Ukraine had achieved independence, the issues regarding the theoretical and conceptual base of special psychology became really important, since the various areas of special psychology remained significantly detached from conducted applied research.&#x0D; The article authors reviewed modern Ukrainian educational and methodological literature for higher education and revealed that the publications were mainly writhing the framework of classical psychology and defectology and based on the natural-scientific paradigm.&#x0D; We also found that in recent years, psychological science had significant achievements in the field of special psychology due to the ever-increasing influence of the humanistic paradigm on the subject and methodology of psychological research.&#x0D; The article describes the achievements of Mykola Yarmachenko Institute of Special Education and Psychology in the field of special psychology, its role and influence on special psychology development, its contribution to theory and practice.
SCIENTIFIC TRENDS IN PERINATAL MEDICINE AND NEONATOLOGY AT BUKOVINIAN STATE MEDICAL UNIVERSITY: ADVANCES AND PROSPECTS

Bukovinian State Medical University (BSMU) of the Ministry of Health of Ukraine (Chernivtsi, Ukraine), according to theranking criteria of the SciVerse Scopus database in 2023, is among the 10 best higher state educational institutions in Ukraine.In 2023, BSMU was ranked 2nd according to the Webometrics system. BSMU supports the implementation of the main provisions of Open Science in Ukraine, which is a priority for European research policy. BSMU started fi lling information data on the areas of open science in the National Electronic Research and Information System of Ukraine “URIS”, which is commissioned by the Ministry of Education and Science of Ukraine and the Ministry of Digital Transformation of Ukraine in accordance with the main provisions of the unifi ed national program “On the Implementation of the National Action Plan for Open Science in Ukraine”. Unfortunately, unfavorable demographic trends have recently persisted in Ukraine with a projected decline in the birth rate, an increase in mortality and forced migration as a result of military operations. aggression and genocide of the Ukrainian people. One of the key research areas is maternity and childhood, which has been the basis of scientifi c research at the Department of Paediatrics, Neonatology and Perinatal Medicine for many years. The aim of this research area is to improve the effi ciency of medical care for newborns, including full-term and premature infants born with various forms of perinatal pathology and intrauterine developmental disorders, by improving algorithms for predicting, diagnosing and treating organ system disorders under conditions of birth stress.
State Ownership and Corporate Social Responsibility: An Investigation on Nigerian Data

Purpose: The paper examines the central issue underpinning the growing international literature and arguments that different ownership types have varying implications for a firm’s CSR engagement. It compliments evolving studies by looking at the effect of state ownership and other types of ownership structures on CSR, specifically in the Nigerian industry. It is argued that the impact of ownership structure on corporate decisions to allocate resources to Corporate Social Responsibility (CSR) has assumed renewed significance in the burgeoning literature of developing economies, given the exigency for corporate executives to allocate firm specific resources to other social objectives that may detract from profit maximization.&#x0D; Methodology: This paper differs markedly from the methodologies of previous studies which used composite CSR indices. It deconstructs CSR expenditure into five categories – public goods, socially desirable goods, corporate philanthropy, employee relations and environmental conservation – and estimates the effects of government, foreign and institutional ownership on CSR variables controlling for such factors as firm size, return on assets and capital intensity. Using new data on listed Nigerian firms, this paper carries out its empirical investigation with panel data estimation in order to deal with heterogeneity and endogeneity issues.&#x0D; Findings: The findings of this paper indicate that different ownership structures have varying implications for the five forms of CSR investigated in this study. It reveals that government ownership has no significant effect on CSR expenditure on public goods, corporate philanthropy and environmental conservation. However, it finds that government ownership also significantly influences CSR expenditure on socially desirable goods and employee relations.&#x0D; Unique contribution to theory, practice and policy:Theoretically, this paper extends the trajectory of CSR discourse to include an elaborate investigation of the impact of ownership structures on CSR practices in all the major sectors of Nigerian economy.The paper argues that its empirical results have several policy implications for good corporate governance practices in Nigeria and other emerging economies. This paper suggests the need to institute incentives schemes and regulatory constraints that would compel government, foreign and institutional ownership to align their incentives with some forms of CSR practices.
PECULIARITIES OF INTERPERSONAL INTERACTION OF FUTURE TECHNICAL PROFILE SPECIALISTS WITH DIFFERENT TYPES OF INTERACTIVE ORIENTATION

The article is devoted to the problem of interpersonal interaction creation by students of a technical profile. In particular, the results of a comparative study of the peculiarities of the interpersonal interaction creation by students of a technical profile with different types of interactive orientation are described. &#x0D; In the article, interaction refers to any agreed action of two or more people. Among the conditions under which the existence and progress of interaction is possible, there are defined the mutual understanding of its participants and the awareness of each of the participants of their own contribution to the joint activity. &#x0D; According to the results of the empirical study, it was found that although the technical profile students have a certain level of disharmony in interpersonal relationships, the relationships of more than half of them are mostly harmonious and stable in nature.. In addition, the diagnosis of the interactive orientation of the studied future technical profile specialists proved that the vast majority of students have an average level of orientation to personal interests and orientation to interaction and cooperation, and the level of marginal orientation among them is mostly high, that is, these students are characterized with manifestations of infantilism, uncontrollability of actions, imitation. &#x0D; Determining the peculiarities of the interpersonal interaction creation by the technical profile students with different types of interactive orientation showed that the higher the level of manifestation of conflict in relationships students demonstrate, the more they are focused on pursuing their own goals exclusively. In addition, the more the studied students demonstrate an increased concern for relationships, the more these future technical profile students are characterized with manifestations of infantilism and uncontrollable actions. Also, the more students express a desire to distance themselves from other people, the more likely they are to simply obey to circumstances and behave impulsively. Thus the future specialists of technical profile with different types of interactive orientation are characterized with different specificity of interpersonal interaction creation.
Similarities between South Korea and Tamil Nadu: The Unknown Link

Tamil is one of the ancient languages which has an oldest extant literature. It is one of the longest surviving Dravidian languages dated from 300 BC. Korean is the native language for about 80 million people all over the world. Modern Korean was developed by King Sejong the Great in the 15th century. While analyzing the Tamil and Korean scripts, there was a certain amount of similarity in both text and grammar of these two languages. Despite the geographical separation of these two peninsulas, they share a considerable extent of literature and cultural resemblance. Hence, this proposed work provides a proof for the similarity with the help of a theoretical research study. This work portrays a list of words taken from Korean and Tamil Literature as samples and classifies them as complete or partial based on their similarity. It also lists verbs which after conjugation have a lexical similarity.
Data Colonialism and Data Localization: Issues and Challenges

The zeitgeist of the 21st century is warped, managed, and altogether driven by the slew of technological applications. They have usurped every activity of our life in its hold in such a way that wherever we turn, we find them interfacing, navigating, and monitoring human life. The juggernaut of trade, commerce,and marketing made the entry that has taken this world in its firm grasp and the engine of marketing is consuming data of every citizen as its fuel. This function invariably brings in vast profits to large corporations and multi-national establishments which do not feel it necessary to take the consent of citizens and share the windfall they gain. This new order is literally thriving by harvesting, poaching, and appropriating citizens’ life (data) which serve them as fodder or oil that spurs and keeps them financially in good stead. With the end of colonial era across the globe, gone are the evils associated with it, and here comes, new masters in the garb of multiple technologies, who are equally vicious, awfully exploitative, and with dour demeanour dominate our lives. Frankly speaking, now we are sort of re-colonized as our data is collected and used in the premise of bettering our lives. Of late, Global South’s some of the developing governments in order to secure their local interest are pushing for localizing data, but this stance has many pitfalls attached to it as data localization will give increased access to the government, which may put its own people under surveillance for varied reasons. Therefore, at this juncture, human beings are caught up between the cleft stick. On one hand, data colonialism uses them as commodities (commoditization) while data localization makes them the subject of State surveillance. Hence, this paper comprehensively examines the corresponding complex issues and thoroughly peruses the embedded challenges straddling data colonialism and data localization.
PENGEMBANGAN EVALUASI MULTIPLE CHOICE MENGGUNAKAN QUIZIZZ PAPER MODE PADA KELAS V TEMA 2 SUBTEMA 2 PENTINGNYA UDARA BERSIH BAGI PERNAPASAN

Development of Multiple Choice Evaluation Using Quizizz Paper Mode in Class V Theme 2 Sub Theme 2 The Importance of Clean Air for Respiration. This research is motivated by the use of less diverse evaluation media which is one of the main factors in the lack of success in the learning evaluation process. This research aims to develop learning evaluation media on theme 2 subtheme 2 the importance of clean air for learning breathing 3. The research method used is Research and Development using the ADDIE model. This research was carried out at SDN Lawanggintung 1 Bogor in class V with the results of the research showing that the quizizz paper mode evaluation media developed had a very feasible category. With media experts at 85% "very worthy", language experts at 97% "very worthy", material experts at 88% "very worthy", evaluation experts at 93% "very worthy", student responses were 95% and teacher responses were 94%. Based on the results of this research, it was concluded that the quizizz paper mode evaluation media developed was very suitable for use as an evaluation media in the classroom.&#x0D;
The Tradition of Korean Education and the Prospects of Teacher Education

This research revisits the significance of the term ‘Sabum(師範)’ which symbolizes the traditional education system in Korea and provides an overview of the history and future prospects of teacher education since the modern era. In Korea, a Sabum was not merely an instructor; rather, it represented an educator who was tasked with achieving the highest standards of scholarship, conduct, and morality through both learning and teaching. Thus, Sabum has consistently embodied the holistic embodiment of various prerequisites for scholarship and education, coupled with ethical values, both in the past and today.BR In 1895, the Joseon government established The Hanseong Normal School to uphold the spirit of traditional Sabum while exploring a modernized approach to teacher education. Private teacher training schools were also established to enhance national consciousness among educators. However, during the Japanese colonial period, this cherished tradition of Korean teacher education was disrupted. The Kyeongseong Normal School established by Japan in 1922 aimed to cultivate teachers loyal to the Japanese emperor and adherent to their militaristic ideology, effectively replacing our ‘Sabum’ with Japan’s ‘Sado(師道)’.BR After the liberation in 1945, normal schools and college of education were established to prepare elementary and secondary school teachers. This marked a revival and expansion of our traditional ‘Sabum’. Subsequently, with industrialization, teacher education institutions expanded further, and in 1990, the teacher certification examination was introduced. Today, Korean education faces various challenges, and to address these challenges and cultivate new teaching competencies suitable for the future society, a renewed sense of purpose and identity in teacher education, i.e., Sabum, is urgently needed.