Reviewerly/exHarmony huggingface dataset:
Color Restoration of RGB-NIR Images in Low-Light Environment Using CycleGAN

It has always been people’s pursuit to obtain more natural and clear color images in low-light environment. With the development of generative adversarial network (GAN) models in deep learning, more and more attention has been paid to the problem of near-infrared (NIR) image color restoration, especially the proposal of Cycle Generative Adversarial Network (CycleGAN) model which is suitable for the training task that is difficult to obtain pairs of training data; it is possible to achieve the above goal of near-infrared image color restoration. However, the NIR image color restoration task does not meet the requirements of CycleGAN model structure, so it is difficult to obtain the expected effect. In this paper, based on the basic principle of CycleGAN model and the image characteristics of RGB images containing near infrared (RGB-NIR), the feasibility of color restoration using CycleGAN model is investigated, the effect of color restoration is experimentally compared with the latest Asymmetric Cycle Generative Adversarial Network (ACGAN) and Convolutional and Deconvolutional Neural Network (CDNet) under the same conditions, and the experimental results are evaluated qualitatively and quantitatively. The experimental results show that CycleGAN can well adapt to RGB-NIR image color restoration task, and its overall effect on texture restoration and naturalness of color is better than the other two networks.
Research on AI-assisted Teaching Mode for English Teaching from the Perspective of Total Physical Response (TPR)

Total physical response (TPR) was produced in the United States in the early 1960s.This teaching method is a method of teaching foreign languages through body movements, which is mainly used for English education of American immigrant children.With the help of artificial intelligence technology, educators can try to integrate grammar into language activities in relevant contexts in an implicit way without systematically teaching grammar or phonetic symbols, and gradually increase "input" to students by comprehensive teaching methods.This article focuses on the current circumstance of modern English education and the specific application strategies of using AI-assisted teaching mode for English teaching from the perspective of Total Physical Response (TPR), which has a certain practical reference significance for the improvement of English teaching theory under the background of the constant development in the field of artificial intelligence.
SFL: Fundamentals and Its Applications in EFL Classrooms

Systemic Functional Linguistics (SFL) is a theory which describes language in its social context. Based on this concept, SFL provides teachers with a grammar that focuses on meaning rather than form and concentrates on whole texts and their organizations as well as on sentences. For learners, SFL su
Plan and Implementation of a Secure QR Payment System Based on Visual Cryptography

In this paper, we are able to depict the plan and execution of a secure installment framework in mild of QR codes. These QR codes were widely applied currently in view that they boost up the installment cycle and provide customers with excessive comfort. Nonetheless, as effective as they could sound, QR-primarily based totally net-primarily based totally installment frameworks are defenseless towards diverse types of assaults. Thusly, alternate managing must be accurately stable to shield the trustworthiness and secrecy of every and each installment cycle. Additionally, the net-primarily based totally installment framework must supply validness to each the shipper and collector of each alternate. In this paper, the safety of the proposed QR-primarily based totally device is given the use of visible cryptography. The proposed device consists of a bendy software and a component entryway server that does visible cryptography. The software offers an critical and simple factor of interplay for customers to complete component trades in honest stable environment.
Study of Technological Pedagogical Content Knowledge (TPACK) Concept in Music Learning

The purpose of this study is to review the Technological Pedagogical Content Knowledge (TPACK) concept in music learning.In this study, the concepts of TPACK are reviewed from the previous researches and theories that support the use of technology in music learning and implementation (practice/application).This study discussed TPACK as a concept that can be used by music teachers (instructors) to improve their skills (competence) in facing the development demands in music learning.This study could help in understanding the integration between technological, material, and pedagogical knowledge in the learning process, and could also help in developing the skill (competence) of music teachers (instructors) in Indonesia.
Polysemy and Semantic Extension of Japanese Verb <i>Yaku</i>

This study looks into the semantic extensions of Japanese verb yaku's 11 meanings in light of cognitive semantic framework.Data are drawn from NINJAL-LWP for BCCWJ (NLB).The Dictionary "Shogakukan Unabridged Dictionary of the Japanese Language" is employed for categorization.The finding brings us to the direction of semantic extension as well as a diagram of polysemous system.
A Food Waste Mobile Gamified Application Design Model using UX Agile Approach in Malaysia

Food waste is a significant worldwide issue in landfill management.Due to improper implementation, technology applications related to food waste collection and its management system are still lacking in practice.The available applications have yet to address the issue of food waste management.Constructing an interactive mobile application is necessary for managing food waste collection for the decomposition process using Black Soldier Fly (BSF) treatment.Furthermore, as the mobile application requires participation from various user backgrounds, maintaining user involvement has become a priority.Gamification has emerged as one of the approaches that might favourably affect individual engagement behaviour.A comprehensive game element design is required where it focuses on how gamification can influence user engagement.This study aims to model the food waste gamified mobile application design to benefit Malaysia's decomposition ecosystem.It includes gamification, management features, and data visualization for reporting and will involve users from households, businesses, and the BSF farm.This paper presents the modelling process of a new mobile application design for this concept of study.The UX agile approach was used in gathering and designing the application requirements as it allows for active participation from all stakeholders.The result shows that the experts agree on the application design.This research will indirectly benefit the BSF industry in Malaysia, and it will have a significant impact on gamification, user experience, and food waste management in the direction of a sustainable environment.
The psychological impact of sleep quality on health care workers during COVID-19 in Jordan

Background and objective: Sleep quality is a key aspect of the overall psychological health.Sleep quality can affect mental health in many aspects, causing major psychological disorders, such as: depression and anxiety.Objectives: to assess the overall psychological impact of sleep quality on health care providers in Jordan during COVID-19 pandemic Method: This is a descriptive cross-sectional multicenter hospital-based study conducted in Jordan from the period of 2/7/2021 to 12/7/2021.418 participants were included in the study.Data collection was done online via Google form.A questionnaire was used containing 4 validated scales, the insomnia severity index (ISI), Epworth sleepiness scale (EPS), generalized anxiety disorder-7 (GAD-7), patient health questionnaire-9 (PHQ-9).Results: (56.7%) were males, (43.3%) were females.(28.8%) were residents, followed by (20.3%) were nurses, (19.7%) were general practitioners, and (16.8%) were specialists.About (44.8%) of the participants were diagnosed with COVID-19 and (75.4%) managed patients with COVID-19.(32%) suffered from moderate difficulty falling asleep, and (30%) have moderate difficulty staying asleep.About (21.2%) said that there sleep problems much interfere with their daily functioning.(34.4%) feel nervous and anxious more than half of the days, while (26%) had the same problem nearly every day.(34.5%) feel tired more than half of the days, while (26%) suffered from the same issue nearly every day. Conclusion:The results of this study support the view that poor sleep quality can affect the overall mental health dramatically.Poor sleep quality can cause a psychological problems, such as: depression, and anxiety.
E-puck motion control using multi-objective particle swarm optimization

This article describes the velocity-based motion and orientation control method for a differential-driven two-wheeled E-puck Robot (DDER) using the Multi-Objective Particle Swarm Optimization (MPSO) algorithm in the Virtual Robot Experimentation Platform (V-REP) software environment. The wheel velocities data and Infra-Red (IR) sensors reading make the multi-objective fitness functions for MPSO. We use front, left, and right IR sensors reading and right wheel velocity data to design the first fitness function for MPSO. Similarly, the front, left, and right IR sensors reading, and left wheel velocity data have been taken for making the second fitness function for MPSO. The multi-objective fitness functions of MPSO minimize the motion and orientation of the DDER during navigation. Due to the minimization of motion and orientation, the DDER covers less distance to reach the goal and takes less time. The Two-Dimensional (2D) and Three-Dimensional (3D) navigation results of the DDER among the scattered obstacles have been presented in the V-REP software environment. The comparative analysis with previously developed Invasive Weed Optimization (IWO) algorithm has also been performed to show the effectiveness and efficiency of the proposed MPSO algorithm.
Socio-cultural approach to the development of education in rural areas

The main objective of the article is to reveal alternatives and opportunities for changing the situation within the framework of the development of education in rural areas. The article reveals a modern approach to solving the problem of the development of education in rural areas and the use of education as a tool for the development of the territories themselves. Different types of education and related phenomena and artifacts are highlighted. A comparative analysis of the use of technocratic and socio-cultural approaches is carried out. The article reveals the main characteristics and technologies of the socio-cultural approach to education. Technologies that allow not only to diagnose typical situations in which educational institutions in rural areas are located, but also to develop and implement the most appropriate variable strategies of educational activities and models of their development. The methodological foundations, content, tools and mechanisms of the socio-cultural approach to the development of education in rural areas are considered in more detail. The basic humanitarian technologies that make up the tools of the sociocultural approach to education in rural areas and settlements are revealed. Themechanisms of using education as a tool for solving the life problems of local communities are considered on the example of various types of socio-cultural educational projects. The socio-cultural approach has led to the interpenetration and development of different types and types of education, strengthening its influence on the socio-economic and cultural development of communities. The article describes in detail the experience and results of the implementation of the program of socio-cultural modernization of education in the Republic of Sakha (Yakutia). An assessment of the risks of implementing socio-cultural modernization of the education system, prospects and opportunities for its promotion in Russia is given.
TEACHING TECHNIQUE TO TEACH STUDENTS WITH HEARING IMPAIRMENT USING KEYWORD VOCABULARY METHOD

Communication plays a major role in the academic and professional growth of students with hearing impairment pursuing a Diploma and Engineering Education. Students with special needs have to exhibit good communication skills to achieve success in their careers. Written communication plays a major role in boosting the communication capabilities of students with hearing impairment since written communication is a common and popular form of communication in the professional environment. To inculcate good communication skills and strong subject knowledge, it is essential to use &amp; adopt good teaching learning practices to teach students with hearing impairment. The present paper introduces a new technique of teaching based on a keyword-based concept. In this approach, the teacher prepares a list of keywords from the chapter/ subject to be taught. The next step is to define, describe, and make a visual interpretation of the listed keyword. The sign representation of the keyword is essentially based on concept oriented sign language derivation. The effectiveness of this method depends on the list of keywords being prepared or extracted from the subject. The list should be prepared in such a manner that it should highlight the concept of the subject effectively.
A review on blockchain governance

Having both opportunities and threats, blockchain is inevitably a game-changer disruptive innovation in our time. It keeps penetrating a wide scope of areas including banking, insurance, supply chain, trade finance and many more. During this penetration, it both affects and is affected by traditional governance mechanisms. Like the evolution of traditional governance mechanisms from shareholder to stakeholder model, blockchain technology advances towards optimizing the reciprocal effects of on-chain and off-chain governance. Based on the sophisticated and technology-dominated papers in the literature, this study handles blockchain governance by focusing on both technical and economic aspects of the concept. By analyzing different features of blockchain governance, we come up with the view that technical and economic success seems to be the highest in a hybrid governance structure at this stage
Target intention discrimination method of event evolutionary knowledge enhancement

With the multi-source intelligence data grow exponentially, traditional methods can barely satisfy the requirement, which means to organize and understand the tremendous military knowledge. So, this research project aims to develop unified, highly connected military knowledge graph to integrate information. Using front-end interaction technology, supporting learning function based on inference, error-correcting and marking, this graph can continuously modify the logic model and improve the intelligence of itself, so the knowledge will be solid in our department. It can reduce dependence on the experience of special experts, and moreover, provide platform for developing data-driven general battle system.
How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge?

Recent progress in large pretrained language models (LMs) has led to a growth of analyses examining what kinds of linguistic knowledge are encoded by these models.Due to computational constraints, existing analyses are mostly conducted on publicly-released LM checkpoints, which makes it difficult to study how various factors during training affect the models' acquisition of linguistic knowledge.In this paper, we train a suite of small-scale Transformer LMs that differ from each other with respect to architectural decisions (e.g., self-attention configuration) or training objectives (e.g., multi-tasking, focal loss).We evaluate these LMs on BLiMP, a targeted evaluation benchmark of multiple English linguistic phenomena.Our experiments show that while none of these modifications yields significant improvements on aggregate, changes to the loss function result in promising improvements on several subcategories (e.g., detecting adjunct islands, correctly scoping negative polarity items).We hope our work offers useful insights for future research into designing Transformer LMs that more effectively learn linguistic knowledge.
Meta Heuristic Backtracking Algorithm for Virtual Machine Placement in Cloud Computing Migration

Cloud serves as a repository for voluminous data generated in internet. Situations prevailing before and after pandemic reveal the fact that cloud computing served as a backbone for almost all industries across the globe by its humongous computing facility. This necessitates numerous algorithms for the best usage of cloud resources namely virtual machines (VM). One such technique is our proposed meta heuristic Backtracking algorithm for finding an alternative place for VMs to be placed after migration from overloaded places. The performance metrics such as number of hosts shutdown, mean execution time and standard deviation of the execution time of the proposed meta heuristic Backtracking algorithm are compared against existing VM placement algorithms like Inter Quartile Range, Minimum Migration Time, Maximum Correlation and Random Selection, show a commendable improvement. The results show introducing meta heuristic techniques in a successful algorithm like Backtracking optimize the influential factors of Service Level Agreements (SLA) by increasing an 8% of total number of hosts shutdown, decreasing a 10.4% of time in mean execution time and decreasing a 33.5% of time in standard deviation of execution time.
Extraction of common properties of objects for creation of a logic ontology

The paper describes an approach to the formation of ontology based on descriptions of objects in terms of the predicate calculus language. With this approach, an object is represented as a set of its elements, on which a set of predicates is defined that defines the properties of these elements and the relationship between them. A description of an object is a conjunction of literals that are true on elements of an object. In the present work, ontology is understood as an oriented graph with descriptions of subsets as nodes and such that the elements of a set at the end of an oriented edge have the properties of the elements of the set at the beginning of this edge. Three settings of an ontology construction problem are considered: 1) all predicates are binary and subsets of the original set of objects are given; 2) all predicates are binary and it is required to find subsets of the original set; 3) among the predicates there are many-valued ones and subsets of the original set of objects are given. The main tool for construction such a description is to extract an elementary conjunction of literals of predicate formulas that is isomorphic to subformulas of some formulas. The definition of an isomorphism of elementary conjunctions of atomic predicate formulas is given. The method of ontology construction is formulated. An illustrative example is provided.
Understanding the Effect of Dramaturgical Learning Experiences on Students' Engagement and English Language Fluency Development in Science and Math Education

According to Madhani (2021), the recent newly arrived Afghan children, teenage young refugees with their families from Afghanistan have started their new lives in their designated destination states to relocate and reside in the United States. These new lives include the young Afghan learners' education, that is, for them to enroll and attend public school to continue or start their formal education in this country. According to St. George (2021), the first student of the expected to be many thousands of Afghan refugees have started arriving in the nation's public schools, as educators and community groups all over the United States prepare to help with language classes, family support, and trauma counseling. In addition, St. George (2021) explained that school district leaders in several states in the U.S. express that they are ready for the influx and have extensive experience in welcoming refugees; and some are working with resettlement agencies and community organizations to ease the transition. In this perspective, the American Education System (AES) requires in-service and pre-service teachers to acquire cultural competency skills through professional development and credentialing programs on intercultural competency prior to teaching this student population in the classroom environment; also, placing them in mainstream regular classroom could be detrimental to their educational success (Norman, 2015). Due to this critical educational issue, the AES should adopt culturally appropriate engaging teaching and learning approaches & methodologies such as dramaturgical learning, outdoor education, cooperative learning, project-based learning, etc. which demonstrate the active participation and engagement of this student population in public school classroom settings (Norman, 2015). In this view, this reflection highlights the impact of dramaturgical learning experiences on English-as-a-Second Language (ESL) students' academic & social success, and English language fluency development in ESL-Bilingual Science & Math education in public school. In doing so, I (1) define and explain the following constructs: (a) dramaturgical teaching based on Goffman's Dramaturgical Model, and (b) English language fluency; (2) explicate English-Language Development Standards for California Public Schools (K-12th Grade); (3) clarify pedagogical approaches to teaching ESL-Bilingual Science and Math courses; (4) describe dramaturgical teaching & learning in the leadership classroom; (5) share my valued teaching experiences using dramaturgical learning to teaching ESL-Bilingual Science and Math content areas to ESL students; (6) review relevant literature on the topic; and finally, (7) draw the conclusion in this writing
Information and Communication Technology Practices in Biology Teaching in Lesotho High Schools

Information and communication technology (ICT) has never been more important in schools than in the current context of the global COVID-19 pandemic. The COVID-19 pandemic has forced many more teachers to use ICT for teaching, even in less resourced countries such as Lesotho. In this quantitative study, teachers’ ICT practices in Lesotho during the year 2020 were examined through the lens of technological pedagogical content knowledge (TPACK). The objectives were to investigate the ICT tools that teachers commonly use, describe the practices that characterize the patterns of use, and determine the correlation between teachers’ practices and their use of ICTs for teaching. Altogether, 107 respondents, selected by a systematic probability sampling technique, completed a five-point Likert scale questionnaire comprising closed-ended items that explored their practices on ICT use for teaching the subject of biology. Data were analyzed for frequencies, means, and standard deviations using the Statistical Package for Social Sciences (SPSS) program. The results indicated that biology teachers in Lesotho use ICTs rather sporadically in their teaching and are consequently ill-prepared to adapt to and mitigate the negative impact of the COVID-19 pandemic on schooling in Lesotho. The study concluded that teachers’ ICT practices are inclined towards supporting more traditional and teacher-centered approaches that rely on face-to-face teaching and learning, with most schools thus remaining closed during the pandemic. The study makes recommendations about the possible ways in which biology teachers in particular could be better prepared to specifically use ICT to teach biology either online or as part of a face-to-face classroom.