Reviewerly/exHarmony huggingface dataset:
Perspicacious Fuzzy Clustering Franchised by Grasshopper Optimization Dexterity for Robust Resource Scheduling with Effective Load Balancing in Cloud Precedent

Utilizing cloud resources become promising in encroachment of internet technology, countenancing everyone to use resources for little or no cost. It will be very important to have task scheduling for sharing resources in cloud environment. To maintain effective resource usage, cloud technology equally divides workload among shareable resources when it receives task requests. Machine learning and metaheuristic algorithms afford dynamic component for equitable task distribution in cloud paradigm. The current state-of-art unsupervised models-based load balancing arbitrarily selects centroid locations and struggles to achieve incorrect task requests. Using an optimization technique that takes inspiration from behavioral science, study aims to build well-balanced clustering model-based task scheduling system. In order to efficiently schedule tasks among virtual servers in cloud environment, this proposed work styles aids of perspicacious fuzzy and Grass Hopper algorithms. The results showed that PFC-GOD upsurges cloud resources usage while lowering make-span, execution time, and high balance load scheduling.
Research on Brightness Enhancement of Street View Data Set Using DLN

Low-brightness image enhancement is a challenging and difficult task.Photos taken under dark conditions often have poor visual quality.In order to solve the problems of low contrast and high noise in low illumination images, this paper uses deep illumination network technology to analyze nighttime street scene images taken under low illumination conditions.Different from the traditional method, this method regards weak light enhancement as a residual learning problem on the basis of deep learning, that is, the residual between estimates.The experimental results show that the PSNR of the algorithm we use is 20.63567452, and the SSIM is 0.2153426.The algorithm not only improves the brightness of the low-light image, but also improves the color depth and contrast.In the objective evaluation index, it has better low-light enhancement effect.
Smart Classroom Model of College English in the Context of Big Data

The formation of intelligent classroom education mode is a new education mode under the background of Internet development, which breaks the time and space limitations of traditional education and enables students to consult knowledge at any time through the Internet.The establishment of smart classroom strengthens the interaction between teachers and students, integrates various educational functions, improves the efficiency of classroom teaching, and urges students to develop their independent learning ability, which is the main achievement of the current development of smart education.This paper explores the establishment of college English classes under the development of the Internet in the new era.Through the combination of online and offline education, it can improve the efficiency of classroom teaching and provide a development direction for educational reform.
The Basic Connotation and Specific Strategies of Class Management in Primary and Middle Schools

Class management in primary and secondary schools is a multi-directional educational practice involving students, teachers and schools.In the basic connotation of class management in primary and secondary schools, the core concept of class management in primary and secondary schools is to adhere to the student-centered approach.Dealing with the relationship between teachers and students and the relationship between classmates is the main content of class management in primary and secondary schools.Cultivating ideal personality is the fundamental purpose of class management in primary and secondary schools.This paper analyzes the current situation of class management, and analyzes the three influencing factors, and then puts forward improvement countermeasures.
Design of intelligent compound pyrolysis unit for hazardous waste of biomass backburning based on computer simulation

This system generates combustible gas and ignites it by generating combustible gas through the internal heating pyrolysis combustion of biomass fuel in the reverse combustion furnace and outside the pyrolysis furnace, which promotes the pyrolysis of biomass fuel while heating the pyrolysis furnace, pyrolysis of hazardous waste in the pyrolysis furnace, and realizes the recycling of heat energy.
APLIKASI ANDROID FLUIDA (ADRODA) BERBASIS STEM BERBANTUAN ARTICULATE STORYLINE

Abstrak Penelitian ini bertujuan untuk mengembangkan aplikasi android berbasis STEM (Science, Technology, Engineering, and Mathematics) pada materi fluida berbantuan articulate storyline. Aplikasi Android dikembangkan untuk mempermudah siswa dan guru dalam proses pembelajaran. STEM adalah pendekatan pembelajaran yang memiliki pendekatan berbasis masalah. Subyek penelitian ini adalah materi fluida statis dan fluida dinamis. Berdasarkan hasil studi pendahuluan dengan metode survei kepada 54 siswa dan 3 guru SMA di Jakarta, didapatkan 89,5% materi fisika dianggap materi sulit dipahami oleh siswa karena rumus yang terlalu banyak, serta siswa mengalami kesulitan untuk menyelesaikan soal fluida. Metode penelitian ini menggunakan model ADDIE dengan langkah-langkah: Analyzing, Designing, Developing, Implementing, and Evaluating. Kata-kata kunci: Aplikasi, Android, STEM, Fluida, Articulate Storyline Abstract This research aims to develop STEM-based android applications (Science, Technology, Engineering, and Mathematics) on articulate storyline-assisted fluid materials. Android app was developed to make it easier for students and teachers in the learning process. STEM is a learning approach that has a problem-based approach. The subjects of this study are static fluid matter and dynamic fluid. Based on the results of a preliminary study with a survey method of 54 students and three high school teachers in Jakarta, 89.5% of physic materials were considered difficult to understand by students because of too many formulas, and students had difficulty solving fluid problems. This research method uses the ADDIE model with steps: Analyzing, Designing, Developing, Implementing, and Evaluating. Keywords: Application, Android, STEM, Fluid, Articulate Storyline
Exploring the Role of Media Scrutiny in Algorithmic Auditing

With the comprehensive involvement of algorithms in the information environment of people's daily lives, a series of problems caused by algorithm alienation have also aroused concern.In order to reveal whether computer algorithms have followed proper procedures and whether they have followed relevant legal standards and ethical codes, researchers have proposed the approach of algorithm auditing.However, the essence of algorithmic auditing is still algorithmic technology.How to define the problems of auditing, the value standards of auditing, and to test the results of auditing all need to be considered back at the social level, in conjunction with the stakeholders of the algorithm.As a carrier of social information, the news media amplifies the rights of algorithms while disseminating information.The process of media embedding in society and the process of algorithms diffusing society are two sides of the same coin, and this paper focuses on the monitoring role of the media as a thirdparty auditor in algorithmic auditing, and explores the future path of media participation in algorithmic auditing.
A Brief Introduction of Relevance Theory Used in Translation Process

Sperber and Wilson proposed the relevance theory.This idea takes a cognitive approach to human verbal communication.Gutt uses the relevance theory to fully achieve the translation process.In translation, the use of ostentation and inference is crucial.The source text should be examined by the translator using the optimal relevance theory.
The Strategies for Ecological Construction of College English Teaching under the Background of Big Data

Big data brought about a lot of challenges for college English teaching; countless opportunities have been shown to us it is necessary to reconstruct ecological balance in college English class.We should affix much value to deepening the core concept of the integration and development of information technology and English classroom teaching reform.According to the principle of educational ecology, we should also use big data to study the interdependence and restriction of various factors in English teaching, and make full use of the role of big data information technology in improving college English teaching.Here a number of strategies are offered to strengthen college English teaching in the big data era.
Practical Research on the Reform of Learning and Teaching under the Background of Informatization

In the information age, in order to adapt to the requirements of contemporary education information and the transformation of educational methods under information conditions, it has become a hot topic in education and teaching research.According to the understanding of the current situation of the informatization environment in colleges and universities, some problems in the transformation of the teaching methods in colleges and universities under the condition of informatization are revealed.For example, teachers don't have a good understanding of information development, college teachers' information technology cannot meet the requirements of teaching method innovation, and colleges and universities information-based teaching equipment is not perfect.To solve this problem, three solutions are given.
Real-time sign language recognition and speech conversion using VGG16

Sign language is used to communicate non-verbally by the deaf and mute community. This method consists of hand gestures or sign for representing the language. Hand gesture recognition extends human-computer interaction (HCI) more convenient and flexible to society. Therefore, it is important to classify each character correctly without error. In this time, online interpreters are available for translating the sign language or gestures to corresponding common language and vice versa. But it requires an expert or intermediate who can translate in both ways. Sensors are also used with hand gloves for tracking hand articulates. Thus, the communication for the deaf/dumb community and the rest has become difficult and costly. This paper mainly describes the classification of sign language hand gestures to its corresponding alphabets in text form using deep neural networks. After classification the text is converted to speech which helps the visually challenged people to understand the sign. The method will classify real-time images captured using a desktop camera. The accuracy of the model obtained using convolution neural network was 97%.
Introduction to risk management

Most readers will be familiar with project, programme or enterprise risk management. Our aim in the chapter is to promote a general understanding of risk in the context of cybersecurity, and how it is approached practically. We draw on ISO 27005 [1] but are generally not prescriptive; we reference several standards and frameworks available to organisations looking to develop a mature approach to cyber risk. A large part of the chapter is a walk-through of the risk management process, where we address the management of risks from remote keyless systems (RKS) in cars, focusing on the main steps and some of the issues that arise. We also analyse risks both quantitatively and qualitatively to highlight the relative merits of the approaches.
BorderNet: An Efficient Border-Attention Text Detector

Recently, segmentation-based text detection methods are quite popular in the scene text detection field, because of their superiority for text instances with arbitrary shapes and extreme aspect ratios. However, the vast majority of the existing segmentation-based methods are difficult to detect curved and dense text instances due to principle of these methods. In this paper, we propose a novel text detection method named BorderNet. The key idea of BorderNet is making full use of border-center information to detect the curve and dense text. Furthermore, a efficient Multi-Scale Feature Enhancement Module is proposed to improve the scale and shape robustness by enhancing features of different scales adaptively. Our method outperforms SOTA on multiple datasets, achieving 89% accuracy on ICDAR2015 and 87.1% accuracy on Total-Text. What’s more, we can maintain 84.5% accuracy on DAST1500.
A Comparative Study on Traditional Piano Teaching and Distance Piano Teaching Mode from the Perspective of Information Technology

Due to the progress and innovation of technology and economy, the network is gradually deeply integrated with social life and work learning, which promotes profound changes in people's cognition and mode in social life.As an important part of the field of education, piano teaching needs to keep pace with social development, realize the integrated development of and network technology, and innovate educational methods.The purpose of this study is to establish a diversified education model, improve and innovate educational knowledge, improve educational quality, promote highquality piano teaching methods, enhance the enthusiasm and interest of piano learners, and cultivate high-quality music masters, Help update and develop relevant education methods.
Research on English Education and Strategy Analysis of Rural Elementary Schools in China

Primary school English is an important part of basic English education; it is the key factor in the improvement of personal English level in the future.People have generally recognized the importance of learning English today; however, in some rural areas, English teaching has not been placed in the basic discipline; English learning can not get the personal attention of parents, schools, teachers, and even students, coupled with the limited educational and teaching resources; as a result, there are some problems in English teaching in rural primary schools in my country.This article first introduces this subject's background, then analyzes the current status of English teaching in rural primary schools, and proposes corresponding solutions to improve the English teaching level of rural primary schools.
INDONESIAN HIGH SCHOOL STUDENTS’ DEMOTIVATING FACTORS IN LEARNING ENGLISH

Demotivation is a condition that occurs when a person begins to lose motivation or enthusiasm to do something and achieve specific goals. This demotivating condition can occur in various aspects of life, one of which is related to study. This study is aimed to investigate the demotivation factors of EFL High School students in learning English. Two students from a public high school in Indonesia were interviewed. The data were collected using two session interviews. The first session interview was about the external demotivation factors, and the second was about the internal factors of demotivation. Data were analyzed using thematic analysis in which prominent themes were determined based on the frequency of their emergence. This study found two factors influencing students’ demotivation: external and internal. The external factors include teacher factors, attitudes towards peers, negative attitudes towards the target language and everything related to the target language, the target language as a compulsory subject, and textbooks and teaching materials. As for the internal factors, there are low self-esteem and a lack of self-confidence and interest. This study encourages teachers to create a supportive learning atmosphere and adjust teaching practices to minimize learning demotivation.
Pengelolaan Pembiayaan Pendidikan Sekolah Dasar Negeri Poris Pelawad 5 Kota Tangerang

This study aims to examine the management of education financing at Poris Pelawad 5 Elementary School, Tangerang City. The research method used in this study is a qualitative descriptive research method. The data collection techniques used are interviews, observations, and document studies, with research results from the principal, treasurer, and one teacher. The results showed that in the process of preparing the RKAS (Activity Plan and School Budget) was carried out by the principal and treasurer and assisted by the school management team. The management of education financing is carried out in three ways, namely, 1), planning, where activities related to schools have been prepared in the RKAS prepared by the school every year at the beginning of the school year.2), Implementation, where for the implementation of financing there are receipts such as, BOS (School Operational Assistance) of the central government, BOSDA (School Operational Assistance) of local governments, and community participation. Expenditure, referring to 8 (eight) national standards of education in schools. 3), Evaluation, this is carried out by SDN Poris Pelawad 5 Tangerang City twice every year, in the middle and at the end of the school year, by holding meetings with relevant parties. And from the results of the evaluation, it is used as a reference by the school for the future.
Registered reports in software engineering

Registered reports are scientific publications which begin the publication process by first having the detailed research protocol, including key research questions, reviewed and approved by peers. Subsequent analysis and results are published with minimal additional review, even if there was no clear support for the underlying hypothesis, as long as the approved protocol is followed. Registered reports can prevent several questionable research practices and give early feedback on research designs. In software engineering research, registered reports were first introduced in the International Conference on Mining Software Repositories (MSR) in 2020. They are now established in three conferences and two pre-eminent journals, including this one (EMSE). We explain the motivation for registered reports, outline the way they have been implemented in software engineering, and outline some ongoing challenges for addressing high quality software engineering research.
Music Teaching Innovation in Primary and Secondary Schools based on Genetic Algorithm and Artificial Neural Network

At present, the academia has explored the innovation research of music teaching (MT) in PASS.Researchers have applied the combination of genetic algorithm (GA) and neural network (NN) to English teaching innovation, which has greatly improved the efficiency of English teaching.For this reason, this paper briefly analyzes GA and NN technology, and combines them to analyze the feasibility.Through the combination of GA and artificial NN, it is applied to the innovation research of MT in primary and secondary schools (PASS).With spectrum reading teaching as the main research object, it is proposed to carry out spectrum reading teaching with various technical means in combination with the algorithm.Finally, it is investigated and analyzed through experiments; it verifies the effectiveness of the innovative methods of MT in PASS proposed in this paper.
The Impact of Unethical and False Advertising on Social Media Towards Consumer Buying Behaviour: An Examination Among Young Adults in Malaysia

Multiple discussions and papers exist regarding the impact of false advertising on consumer behaviour. However, there has been little information on false and unethical advertising through social media platforms in Malaysia. Existing research have focused on various other information such as the impact of deceptive advertising on women purchasing behaviour in Pakistan, the influence of false claims from advertisements conveyed through word-of-mouth, the effect it has on gender-based customers, etc. This paper focuses on the impact of false advertising found in social media and e-commerce platforms on consumer buying behaviour, with an emphasis on young adults. It further identifies the importance of adhering to the principles of ethics in terms of advertising. The study consists of a sample size of 103 young adults in Malaysia. The Pearson Correlation Test had shown a significant correlation between all three independent variables, with a strong relationship was discovered between intent to purchase and perceived risk with the buying behaviour of consumers. The results of this study showed that advertisements on online platforms manipulated the purchase behaviour of consumers, specifically young adults in Malaysia.
Social Media Usage and Organizational Performance among Travel Agencies

The scientific research study scrutinized the correlation between social media and organizational performance among travel agencies in the United Arab Emirates (UAE). The research empirical study utilized a descriptive research design with a quantitative approach. A sample size of 358 participants were determined from 1320 people as study population. Data was gathered using survey questionnaires and examined using descriptive statistics such as tables, frequencies, percentages, means and standard deviation. The researcher also used inferential statistics such as Structural Equation modelling (SEM) for establishing the relationship between the study variables. The SEM was used while using standardized coefficients (betas) to denote the relative strength of the statistical relationships in the study. The research findings established that there was a significant effect between social media usage and organizational performance among travel agencies in the UAE. The study concluded that the emergence of social media sites and widespread usage has changed the way businesses operate, especially in the marketing sector of organizational performance. The media usage has compelled travel and tour companies to embrace the change that has also created a better platform for them to market and advertise their services. From the study findings, the researcher recommended that the management of travel agencies in UAE can consider improving the performance of their organization by improving on the orientation efforts offered to their customers through feasible discussion sessions where customers can actually tailor their worries using media that do not expose negative perceptions recorded to the public. This can include messages through emails and close private chats in Facebook.
Analysis of Views on Digitalization of Design Studios

Design studios, one of the most important components of architectural education had to move to digital environments urgently and independent of space with the Covid-19 pandemic. This study aims to evaluate whether design studios can be digitized according to the views of students and instructors in two different architecture schools (Firat and Balikesir University) by considering this compulsory experience. The views of 71 students and 5 academicians were taken with a purposeful sampling method. Content and descriptive analyses were performed on the views collected from the participants. As a result, the biggest problem in moving design studios to a digital environment is the disappearance of physical environments in which collaboration, idea sharing, and discussions will occur. In addition, the advantages of online education continued their attraction for some students in the digitalization of design studios. In terms of instructors, games, simulations, modeling, and virtual reality can be used for successful digital studio applications and the infrastructures of these applications can be improved with support from mobile devices.