Reviewerly/exHarmony huggingface dataset:
POSTGRADUATE STUDENTS’ PERCEPTIONS ON MOODLE AS LEARNING MANAGEMENT SYSTEM FOR ONLINE ENGLISH LANGUAGE LEARNING DURING COVID-19 PANDEMIC

&lt;p&gt;In Indonesia, teaching learning process through Moodle as learning management system (LMS) has been implemented in education levels such as junior high schools, senior high school and universities. To find out the role of Moodle in learning English at a higher level, it is important to know whether students have different or the same perceptions about the use of Moodle in higher education, postgraduate level. The subject this research was postgraduate students from 3 different classes of English education department at University of Islam Malang. In this study, a qualitative method was used in the descriptive design, with an online questionnaire serving as the research instrument. Questionnaires are used to collect research data. There were 22 items in the questionnaires administered using Google Form that was purposed to know postgraduate students’ perceptions on Moodle at University of Islam Malang with 3 aspects to analyze; Moodle implementation, Moodle practicality, and online learning environment. The results revealed that studying English through Moodle was preferred with 66,7% of respondents agreed with the statement. For Moodle practicality, it was easy to run with 20 respondents agreed the statement or 60,6% as percentage. Online learning environment made students easier to comprehend lecturers’ explanation of materials given as 63,6% respondents agreed with the statement in the questionnaire. From those results, it could be concluded that Moodle was a preferred LMS. It was considered easy to use. Online learning environment also eased students to understand lecturers’ materials in English education department&lt;/p&gt;
Relation of local window size in a model of modules with estimation of the size of visual images and their segmentation

Subject of study. The fundamental mechanisms of visual image processing, such as size estimation and segmentation, are considered. The possibility of describing these mechanisms using the model of modules proposed by V. D. Glezer and based on electrophysiological data from studies of the receptive fields of neurons in the visual cortex was investigated. Aim of study. This study aimed to investigate mechanisms of size estimation and the segmentation processes by comparing the experimental data obtained by the authors with modeling results. Methods. Psychophysical methods were used for the experimental part. Two different paradigms were used for size estimation: a modified Ebbinghaus illusion with different surroundings of the test stimuli or a comparison of the sizes of upright and oblique crosses previously used in experiments on segmentation. Spatial-frequency filtering of images in local areas of the visual field was performed during modeling using a finite set of filters. Main results. The dependence of the size estimate on the distance between images and on their shape and the relationship of those estimates with segmentation was demonstrated for the first time to our knowledge. Another new result shows that images with different shapes are perceived as equal in size if the modules that optimally describe these images (i.e., maximum energy is preserved in images when filtered with a limited number of filters) are of equal sizes. The obtained results demonstrate that the model of modules can describe to a first approximation the mechanisms performing the estimation of the sizes of the images and their segmentation. Correspondence between the data of neurophysiological, psychophysical, and modeling investigations was shown for the first time to our knowledge. The conclusions were supported by a comparison of the experimental results, and the modeling, with patterns of traditional Byzatntine icon paintings, as well as Russian avant-garde paintings of the early 20th century, which were inspired by the former. Practical significance. Application and further enhancement of the model of modules as an artificial neural network that ensures the segmentation, image size estimation, and recognition of visual objects can be of practical significance.
Teaching the Beauty of God in Computer Programming and Design

Even though aesthetics is often not explicitly included in computer science curricula, a review of computer science literature shows that incorporating beauty is beneficial in areas such as programming and design. Beauty in the field of computer science unified with a theological view of beauty forms a faith-integrated perspective with vertical and horizontal dimensions. This article shows that a faith-integrated perspective of beauty in computer science adds transcendent meaning and purposes for incorporating aesthetics as part of a computer science academic curriculum. Some examples are also provided for teaching with a faith-integrated perspective of beauty in computer science courses for Christian higher education.
The Anger of the Main Character in the Perempuan Bersampur Merah Novel by Intan Adaru: A Study of Literary Psychology

This study aims to describe (1) the form of anger of the main character in the novel "Perempuan Bersampur Merah" by Intan Andaru and (2) the factors of anger of the main character in the novel "Perempuan Bersampur Merah" by Intan Andaru, also describe (3) the psychological impact of the main character in the novel “Perempuan Bersampur Merah” by Intan Andaru. This research is a qualitative descriptive study. The subject of this research is the novel "Perempuan Bersampur Merah" by Intan Andaru. The method of data collection is done by reading and note-taking techniques. The data were analyzed by qualitative descriptive technique, which is a research procedure with descriptive data presented in the form of the author's speech in the novel "Perempuan Bersampur Merah" by Intan Andaru.. The results showed that (1) the form of anger of the main character in the novel "Perempuan Bersampur Merah" by Intan Andaru, namely the anger described by the author in the main character, anger is an expression of human emotions in venting dissatisfaction, disappointment or mistakes when there is an emotional turmoil that does not occur. controlled include revenge, curiosity, irritation, hurt and overflowing emotions (2) the factors of anger between characters in the novel "Perempuan Bersampur Merah" by Intan Andaru there are several factors, namely environmental factors, family factors, social factors. Not only that, anger also arises on the basis of feeling disappointed, irritated, disgusted and annoyed. (3) the psychological impact of the main character in the novel "Perempuan Bersampur Merah" by Intan Andaru caused several problems for the main character, namely being depressed, uncomfortable with their environment, potentially hurting themselves, interfering with children's relationships with parents, even with family, problems with friends peers, school environment, even the environment where the child lives.
Exploring Attribute Space with Word Embedding for Zero-shot Learning

With the purpose of addressing the scarcity of attribute diversity in Zero-shot Learning (ZSL), we propose to search for additional attributes in embedding space to extend the class embedding, providing a more discriminative representation of the class prototype. Meanwhile, to tackle the inherent noise behind manually annotated attributes, we apply multi-layer convolutional processing on semantic features rather than conventional linear transformation for filtering. Moreover, we employ Center Loss to assist the training stage, which helps the learned mapping be more accurate and consistent with the corresponding class's prototype. Combining these modules mentioned above, extensive experiments on several public datasets show that our method could yield decent improvements. This proposed way of extending attributes can also be migrated to other models or tasks and obtain better results.
Knowledge and Attitude of People in Simunjan, Sarawak Regarding Rainwater Harvesting System (RWH) as Water Resource Alternative

This article aims to examine the knowledge and attitude of the people of Simunjan, Sarawak towards the Rainwater Harvesting System (SPAH) as an alternative air preparation in the area. For the purposes achieved, quantitative quantities with the designs that have been used in this study. Study data were obtained using questionnaire instruments and supported using the library method. A total of 341 respondents among the residents of Simunjan, Sarawak consisting of residents of Kampung Nanas, Kampung Kelka and Kampung Sageng were selected as the study sample. Data were analyzed using descriptive analysis (frequency, percentage, mean and standard deviation) and Pearson correlation analysis. The findings showed that the levelof knowledge (M = 3.73, SP = 0.31) and attitude (M = 3.76, SP = 0.40) were at a high level. Meanwhile, Pearson correlation analysis showed a significant strong relationship between knowledge and population attitudes towards the use of SPAH r = 0.748, p &lt;0.01. In conclusion, this study shows the population of Simunjan have good knowledgeand good attitude towards the use of SPAH as an alternative preparation. This indicates the use of SPAH has the potential to be practiced as an alternative air preparation among the population in the study area. The implications of this study can be used forLocal Authorities (Simunjan District Council) in designing the use of SPAH as an environmentally friendly alternative air preparation in the daily lives of Simunjan residents.
Quality Assessment of Super-Resolution Images

Image super-resolution (SR) techniques have been applied to a wide range of applications, including high-definition television, face recognition, security surveillance, and medical image processing. High-resolution images with rich detailed information can be acquired by interpolating low-resolution images using SR techniques. However, artifacts and blur distortion are inevitably introduced while increasing the resolution of images, which affect the SR image perceptual quality and the accuracy of subsequent image processing. For the QA of SR images, this chapter first shows the SR image databases on account of interpolation and image enhancement. Second, it introduces the full-reference QA approaches based on the quality loss function and L $$_{2}$$ Norm. Third, it presents the QA methods based on a two-stage regression model, pixel similarity between image blocks, and natural scene statistical model. In the end, the authors have discussed the future research trends of SR image QA and pointed out it is necessary to establish accurate and efficient objective QA approaches to SR images.
Preface

This workshop aims to continue staying on the forefront of intelligent computational narrative research in terms of both theory and practice. Because the community is already well-established, we included papers that we felt would prompt interesting discussion or advance intelligent narrative research. Fourteen papers were submitted this year. Of those, we accepted 10 as full papers and 3 as posters. We also accepted the submitted demonstration proposal and allotted time for two relevant narrative-related posters from the AIIDE conference to give full talks.
Improving automated crash reproduction

Fixing bugs is a lengthy process which currently requires several manual steps to be undertaken by a developer. Reproducing a crash often takes a significant amount of time during this process, as it requires a developer to identify where the crash occurred and where the taint began, thus leading to the crash. Several tools, such as EvoCrash, STAR, and Beacon, have been created to automate this process. Proposed research includes creating a benchmark dataset, performing an empirical evaluation of fitness functions for crash reproduction, and combining both evolutionary and static approaches to reduce search spaces and increase the effectiveness of automated crash reproduction tools.
Unsilenced Employee Voice in South Africa: Social Media Misconduct Dismissals as Evidence of E-Voice

Social media has transformed various aspects of daily life, particularly influencing communication and interaction in both physical and digital spaces. The South African employment relationship is no exception. Social media also creates opportunities for the articulation of employee voice. Through the content analysis of 118 South African first-instance social media misconduct dismissal decisions, this paper argues that employees use social media as a mechanism to express dissenting employee voice. There is evidence of individual employee voice notwithstanding employers implementing rules and social media policies to curtail expressions of dissent. It also persists despite the dismissal of employees for expressing employee voice through social media. Significantly, employee voice in the form of racialised speech badmouthing and cyber-criticising employers continues in the digital realm despite the legislative prohibition of hate speech. Despite high power disparities, the sample reveals a perfusion of individual e-voice by South African employees.
DIVERGENCE OF SOCIO-ECONOMIC DEVELOPMENT OF THE CONTEMPORARY MIDDLE EAST COUNTRIES (TURKEY, IRAN, PAKISTAN)

Rates of economic growth and some major parameters of socio-economic development of the countries of the contemporary Middle East are analyzed in the article. Departing from the Russian geopolitical tradition the author puts forward arguments for delineating the region comprising Turkey, Iran and Pakistan as chief components of today's Middle East which does not include the mostly Arab Near East. The article proceeds to reveal some basic features of development of the three countries and underlines that socio-economic and socio-cultural charactestics of these countries in the initial stage after the end of WWII were to a large extent similar. But later their growth started to differ considerably. In the result, Turkey has progressed to have a higher middle income economy with a solid industrial-cum-agricultural basis. Iran was lagging somewhat behind with fast but uneven rates of growth. Both states have left Pakistan squirely behind belonging to lower-income countries, suffering from overpopulation and inadequate productivity of labour in both agricultural and industrial sectors. Some reasons of such divergence are mentioned in the article which concludes with remarks on how difference in the economic sphere may influnce geopolitical situation in the region.
LITERARY-ARTISTIC AXIOLOGY OF HIGH SCHOOL STUDENTS

Axiological education is education for and through authentic values, validated socio-culturally, practically, with the help of reconsidering the instructive-educational process in a value sense. The whole world opts for an education that would be focused on prospective and continuous availability, for knowledge and action, for the cultural perfection of the human personality, for reflection, active and critical spirit, for the creative and optimal adaptation of man to the social context, in permanent change. Axiological pedagogy goes beyond the classical side of education for and through values and adds another important objective: the theoretical and practical study of training for valorization, for the acquisition and practice of value criteria in the critical assessment of various aspects of education, self-education. At the same time, it highlights aspects related to the knowledge of values, their selection, ordering in relation to the definition of the goals of personality formation, the specification of the means of achievement, the coordination of processes, the application of value criteria in all educational actions, for their evaluation and optimization. The diachronic perspective of the students' literary-artistic axiology follows the concepts of value/literary-artistic value, being addressed the problem of defining literary-artistic values/values from a philosophical, social, anthropological and pedagogical perspective, which resulted in an own definition of literary value - artistic. Literary-artistic values are examined in direct relation with the notion of text and work, as well as with the reading activity of the reader and the teacher of Romanian language and literature. A special compartment is devoted to the comparative study of values, and another to interculturality, examined from the perspective of literary-artistic values, establishing that interculturality is an implicit feature of any literary work.
Design of a Virtual Laboratory for Practical Learning of Environmental Management and Industrial Safety

At present, the world has experienced great and serious problems with the arrival of the COVID-19 pandemic and, of course, among the sectors that present the most inconveniences is face-to-face university education; therefore, higher education centers seek teaching methodologies to put students into practice. For this reason, the creation and implementation of the virtual laboratory is an alternative solution to this problem; For this, technical criteria were proposed that were evaluated through weighted factors and the analysis of three alternatives that can contribute to the design of the virtual laboratory was carried out; these are Second life, Unity 3D and Virtual plant, selecting the most appropriate tool that responds to the needs of use. Unity 3D is the tool that best contributes to each of the proposed criteria, obtaining a virtual environment for practical learning of students through a virtual tour of a simulated industrial company for the artisan manufacture of chocolates with the SKETCHUP tool, during their journey through an avatar in the company the student interacts and finds questions based on the actual exposure of the avatar to occupational hazards and the environmental management that must be fulfilled within the company with response options based on knowledge learned in class, thus achieving content feedback and decision-making in the face of physical and environmental occupational risks.
Dense Crosstalk Feature Aggregation for Classification and Localization in Object Detection

The misalignment between classification and localization is a significant performance improvement point for object detection. To cope with the misalignment problem, more attempts have been made to separate different tasks (e.g., Classification, Bounding Box Regression) by introducing extra heads, which emphasizes the separation of multiple tasks to cope with their variability. In this paper, we consider that both separation and crosstalk are important between classification and localization. Considering that the two types of tasks are different and have different regions and features of interest, they are in conflict with each other and therefore need to be separated. However, they also need to be fused, because classification and localization are, after all, about understanding the same object. To realize this idea, we introduce bidirectional crosstalk detection head in a systematic manner to provide a full deep cross-fusion between classification and localization. To our best knowledge, it is the first time that full bidirectional crosstalk is introduced between classification and localization for one-stage detector. Extensive experiments are conducted to demonstrate the effectiveness of the proposed method. With a ResNet-50 backbone, our method can significantly improve the GFLV1 baseline by 2.0 AP with similar inference speed (18.5 fps vs. 18.3 fps) and further boost GFLV1 with a big margin (4.3 AP) by increasing our model size. Fair comparisons also show that the proposed head outperforms state-of-the-art heads (T-Head, DyHead) with comparable or faster inference speed under the same ATSS baseline model. With a Res2Net-DCN backbone, our model achieves 51.7 AP at single-model single-scale testing. The code and pretrained models will be made publicly available.
Empowering Farmers with Blockchain-based Transparency Throughout the Value Chain

Majority of the Indian farmers growing diverse local crops and traditional cultivars are small small-landholding farmer. Lower yields and challenges to find a value chain are accentuated by the effects of climate change. Since 2003, a new provision has been made available to farmers to come together and form ‘Farmer Producer Organization’ and ‘Farmer Producer Company’, in which farmers themselves are shareholders and external entities aren’t allowed to become investors. Currently, there are 7,000 such registered groups in India, and it’s being hailed as a promising step towards farmer liberation. Many farmer collectives, especially Farmer Producer Companies, are eagerly adopting emerging technologies for their operations, scaling, value-chain integration, and marketing purposes. This paper will seek to explore a case study of India’s largest farmer collective of fruits and vegetables regarding their usage of Blockchain technology in bringing transparency and efficiency across their integrated value chain.
A Probability Parameter Estimation Tool in C++

Recent studies have shown that dynamic-based sampling algorithms can more accurately sample multvariate normal distribution. In this paper, a newly developed probability model parameter estimation tool using the new sampling algorithm is introduced. Based on the c++ language, this tool implements an automatic derivation algorithm, and is similar to BUGS in modeling and usage and can be applied to a wide range of probability models.
Configurable Firmware Techniques

By the age of 40, I had the opportunity to review and write code for over 150 firmware projects. One thing that I’ve noticed about firmware projects is that developers rarely write their code in a configurable manner, even if it is warranted. Don’t get me wrong; I’ve seen a lot of progress toward layering architectures, managing coupling, cohesion, and trying to maximize reuse. Unfortunately, however, I’ve seen a lot to be desired regarding configuration.
CRITICAL ISSUES WITH A FOCUS ON GEOSCIENCES FOR SUSTAINABILITY

Since 2008, the American Geosciences Institute has published policy documents for elected officials in presidential election years. The first document, titled Critical Needs for the Twenty First Century: The Role of the Geosciences, focused on societal challenges the geosciences address: energy and climate change, water, waste treatment and disposal, natural hazards, and raw materials. It also emphasized educating the public and training a sufficient and able geoscience workforce. The 2012 document added ocean, atmosphere, and space resources; human-made hazards; and infrastructure. In 2016, soils and coastal resources were added, and a derivative document with policy recommendations highlighted geosciences’ roles in enhancing national and homeland security, increasing economic prosperity, securing resources, strengthening national infrastructure, supporting strong and resilient communities, and growing a dynamic workforce. The 2020 report added polar regions and emphasized optimizing the balance between resource use and a healthy society. The 2024 document will be drafted before the primaries by a committee of AGI Member Societies’ representatives. AGI has adopted a theme of “Geosciences for Sustainability,” including international goals for sustainable development, the recognition that changes to Earth systems occur naturally and from human activities, and the need to sustain the geoscience enterprise. Geopolitical and economic developments in recent years (impacts of wars, pandemics, global supply chains, etc.) highlight the importance of the geosciences in sustainability. This edition will be framed by the political and economic challenges of today with exploration of how geosciences support solutions. The content will draw upon consensus reports of the National Academies of Science, Engineering, and Medicine; policy statements of Member Societies; and input from the 2023-2024 leadership of the Member Societies. Like its predecessors, the 2024 document will be a tool for supporting decision making regarding funding priorities and public policy. Although the focus will be national, the report should also be helpful to candidates for office and elected officials at state, provincial, and federal levels.