Reviewerly/exHarmony huggingface dataset:
Pre-service teachers’ agentive projections toward innovation in online English Language Teaching (ELT) classes

This study examines the pre-service teachers’ agentive projections toward innovation in online English Language Teaching (ELT) classes. Employing teacher agency theory, this instrumental case study views projections as agentive when they are informed by the students’ ecological aspects (past and present), oriented to solve potential learning problems and improve learning outcomes. The study involved 84 pre-service teachers who were voluntarily asked to fill in a questionnaire, submit a lesson plan, and be interviewed. nVivo Pro was used to organize themes. The study indicates that the pre-service teachers, M=3.81, SD=.590, perceive that innovation in online ELT classes is closely related to the integration of information and technology. As a result, the students’ agentive projections were also oriented to solve technology and internet-based obstacles, added with innovative learning methods. The research findings may become important insights for the development of English teaching and learning in order to provide more capital for pre-service teachers creating ELT innovation in the future.
A Study of the Body Symbolization and Mediatization and Emotional Consumption of a Streamer

Live streaming is prevalent in news communication, leisure and entertainment, daily consumption, advertising, mass education, and telemedicine fields of our daily lives in China. Such hotly debated words as e-commerce, live streaming, short video, and growing figures reflect a new change in the universal lifestyle in the Internet era. Live streaming, a new form of communication, may become a critical medium for people to connect with society. Based on the perspective of symbolic interactionism, this article explores the body symbolization and mediatization and emotional consumption of a streamer. Streamers bolstered by the consumption society, add a new body spatial dimension through body symbolization and mediatization, thus creating the desire and impulse for consumption among viewers on the one hand. People are increasingly reliant on products and services related to emotion provided by the market to meet their emotional needs in modern society on the other hand. Streamers, as a medium, have become one of the main suppliers of these products and services. As emotional labor and consumption become increasingly prevalent, streamers utilize emotional, physical, and linguistic symbols to convey a symbolic narrative. Consumers actively engage in the interpretation of these image texts and participate in live consumption through symbolic interaction. Streamers inject a sense of competition, intimacy, visual pleasure, and watch desire into the emotional structure of viewers unattainable through traditional media, which drives their consumption behavior for emotion.
Real Time Sign Language Recognition Using Deep Learning

Abstract: Sign language is the only tool of communication for the person who is not able to speak and hear anything. Sign language is a boon for verbally challenged people to express their thoughts and emotion. Using this Sign Language Recognition system, the communication gap between people with hearing impairments and the general public can be cleared. In this work, a scheme of sign language recognition has been proposed for identifying the gestures in sign language. With the help of computer vision and neural networks, system can detect the signs and give the respective text as output. The major aim of this work is to build a neural network using a Long Short-Term Memory (LSTM) deep learning model using the video frames which offer the translation of gestures into text. The model is trained with the dataset that is collected using MediaPipe holistic key points from the video of the person which detects the pose, face and hand landmarks. after building the neural network, real-time sign language recognition is performed using OpenCV and a user interface is developed using Streamlit where the gestures are recognized and displayed as text within the highlighted section on the screen
Challenges Encountered by Teachers in the Implementation of Quality Assurance Measures

The study investigated the challenges encountered by teachers in the implementation of quality assurance measures. The research designed for the study was a survey method. The sample for this study was fifty-two people who are faculty members of the School of General Studies in Xianning Vocational and Technical College. A semi-structured interview and a structured questionnaire were used for data collection in the study. The reliability of the instrument was determined by testing and retesting. The data were analyzed using frequency counting and simple percentage. The result of the study showed: inadequate understanding of learning conditions, insufficient participation in the formulation of quality assurance policies, inadequate educational quality assurance training, imperfect teacher performance appraisal system, inadequate funding support for online teaching activities (during the pandemic) and a shortage of having the qualification certificate of the related profession are the challenges encountered by teachers in the implementation of quality assurance measures in Xianning Vocational and Technical College.
Single photon routing based on the selective coupling of the side-branch in the Plasmonic hybrid nanosystem with dipole–dipole interaction

We propose a theoretical model for the single photon quantum router that consists of two plasmonic waveguides, one of which is infinite and the other is semi-infinite, coupled to two two-level quantum dots (QDs) with dipole–dipole interaction (DDI). The infinite waveguide, the main branch, couples with both QDs, and the semi-infinite, the side branch, couples with the main branch at the position of one of the QDs. In such a system the incident single photon can also be transferred to the side branch, not only be transmitted or reflected. The results show that the transfer rate mainly depends on the coupling strength between the QDs and the two waveguides, but there exists a certain limit in the increase of the transfer rate. The DDI between the QDs gives a remarkable change to the routing spectra and the routing properties are different according to the position of the side branch. The proposed system is indeed multi-channel single photon quantum router, which has more practical significance than the one-dimensional router and can be employed in multi-user quantum networking.
The Prospect of Blockchain Application in The Field of Artificial Intelligence

In recent years, with the rapid development of artificial intelligence and blockchain technology, people pay more and more attention to both of them, especially the integration of the two technologies. Through in-depth analysis of the problems existing in the field of artificial intelligence and blockchain, this paper analyzes the main problems and potential defects faced in its development process, and thinks about its progress space and technical pain points, and discusses the technical superiority of artificial intelligence, and analyzes its application in data, computing power, algorithms and other aspects. As well as the advantages and industry prospects that may be brought by the integration of the two, We hope to bring new theoretical basis for the further in-depth discussion of the integration development of the two in academia and industry, and also hope that more research institutions and small enterprises will participate in the overall environment of science and technology development.
The Impact of AI on Organizational Employees: A Literature Review

The quick advancement of artificial intelligence technologies represents a backdrop that cannot be disregarded in contemporary organizational management practice and research. Based on the field of human resource management, the study reviews and summarizes the impact of AI on the subject of human resource decision-making—employees—from the viewpoint of organizational management. This study takes two important research directions of AI and organizational management research at the individual level, and summarizes the research on employees' adoption of AI technology and the impact of AI on them individually in organizations. The adoption of AI technology by employees is influenced by technological, organizational and personal factors. AI technology shows the advantage of augmentation effect on employees on the one hand, and the phenomenon of automation, i.e. substitution effect on the other. Organizations should place a high value on the new changes that AI has made to the workplaces, attach importance to employees' attitudes, psychological and behavioral responses to new intelligent technologies. Utilize AI technologies to support decisions and promote the development of the new model of "AI+HRM".
Evaluating the Performance of Blockchain-Based Land Registration Management Using Hyperledger Caliper

Abstract: The land is a fixed property. Finding the details of property and involvement of third-party is a challenging task. Fraudsters may forge documents and mislead thepurchaser and if it's a disputed land it takes many years in the court battle, a waste of time and resources. Problems escalate in this current land registration process which is notclear. Such calls were made to integrate technologies and lead to the growth of blockchain technology. Blockchain isa decentralized and transparent ledger. The smart contract is an empirical and permanent document between two parties. This proposed model is used to develop a land registration application system in which the new buyer hasto register and continue with the further process. The proposed research work is implemented using the SHA256algorithm which provides unique hash values for the messages getting stored in blocks and Ethereum blockchaintechnology is used to store both smart contract and transaction details.
Analysis Impact of Intrinsic and Extrinsic Motivation on Job Satisfaction in Logistics Service Sector: An Intelligent Neutrosophic Model

The success of every company relies heavily on the happiness of its workforce, and the logistics service sector is no exception. The capacity of logistics suppliers to satisfy the demands of their clients depends on the efficiency and efficacy of operations, which in turn is affected by the level of employee satisfaction. This paper aims to analyze the factors of employee satisfaction in the logistic service industry to achieve productivity and a satisfied workforce. This paper used the multi-criteria decision-making (MCDM) methodology to handle various factors. The SWARA method is an MCDM method used to compute the importance of factors. The SWARA is integrated with the neutrosophic set to handle uncertain data. This paper used single-valued neutrosophic numbers to evaluate the factors by the experts. The application of the proposed methodology is conducted. We achieved the positive work ecological is essential to the success of any business, and this is especially true in the logistics service sector. When workers feel appreciated and supported, they are more likely to give their all at work, which in turn boosts output, morale, and retention. However, given that job security isn't the only element that influences employee happiness and retention, some would say that it's the least essential aspect. So this paper can aid any organization to increase productivity and employee satisfaction by showing the importance of various employee satisfaction in logistic services.
The future prospects of cryptocurrencies and their impact on financial markets

This article examines the future prospects of cryptocurrencies and their impact on financial markets. First, the article introduces the definition of cryptocurrencies. The article then analyses the future prospects for cryptocurrencies, including the impact of technological advances on cryptocurrencies, the growth trends in the cryptocurrency market, and their potential as alternative currencies. The article then examines the impact of cryptocurrencies on financial markets, including financial innovation and ecosystem change, market volatility and risk. Finally, the article summarises the future prospects for cryptocurrencies and the impact on financial markets, and highlights the importance of balancing regulatory compliance and innovation.
Closing cases with open-source: Facilitating the use of user-generated open-source evidence in international criminal investigations through the creation of a standing investigative mechanism

Abstract Digital open-source evidence has become ubiquitous in the context of modern conflicts, leading to an evolution in investigative practices within the context of mass atrocity crimes and international criminal law. Despite its extensive promulgation, international criminal tribunals have had few opportunities to address the admissibility of user-generated open-source evidence. Through semi-structured interviews with experts and analyses of primary and secondary sources, this article examines the current standards and practices governing the use of user-generated open-source evidence. Current practices illuminate a number of gaps in the realm of digital open-source evidence in international criminal law. This article posits the establishment of a standing international, investigative mechanism as a solution to a need for increased standardization and co-ordination within the realm of user-generated open-source evidence. By standardizing the collection and use of such evidence, investigative bodies will be prepared to more effectively serve the international justice community.
Wavelet Denoising Image Processing Based on MATLAB

This article uses MATLAB to simulate the wavelet denoising algorithm. The threshold denoising was simulated using the function method, triple standard deviation method, fixed threshold algorithm, Haar, sym5, Coif3, and db3 wavelet bases. The simulation results show that using the fixed threshold method, the Haar wavelet has the best denoising effect.
Chinglish: Unraveling the Cultural and Cognitive Pattern Differences in Cross-Linguistic Communication

English, as a foreign language in China, is often influenced by the first language (L1), which is Chinese, giving rise to the phenomenon of Chinglish. Chinglish, a distinct English variety, significantly differs from standard English in various aspects. The prominent reason for these differences lies in the variance of culture and thinking patterns. Unfortunately, Chinglish impedes effective cross-cultural communication and hinders the advancement of English learners’ proficiency. This study aims to elucidate the current state and specific manifestations of Chinglish concerning vocabulary and syntax from the perspective of cultural and cognitive disparities. The research employs questionnaire surveys and material analysis methods to gather data. Preliminary analysis reveals the widespread prevalence of Chinglish during the English learning process, with the primary vocabulary errors being redundancy, improper word usage, and incorrect collocation. In terms of syntax, word order, tense, and voice are particularly discussed as problematic areas. This paper concludes with suggestions for avoiding Chinglish, aiming to enhance cross-cultural communication and elevate English proficiency levels among Chinese learners.
A.I. as a medium: the production and consumption of documentaries programming against the background of media convergence

In recent years, the documentary film industry has grown considerably, including the diversification of creative means, the enrichment of broadcasting platforms and the further improvement of the industrial chain. At the same time, with the continuous development of the global economy and culture, the influence of industrial civilization and technological freedom has penetrated into every aspect of social life. Nowadays, Web 3.0 is driving and enhancing the way viewers think, and the means of communication are changing. At the same time, while global trends are at a critical point in the evolution of the industrial economy to a digital and smart economy, new media echoing the times are emerging, among which artificial intelligence is gradually becoming a mainstream intermediary in communication as an extension of the human brain. From this perspective, this paper explores how artificial intelligence as an intermediary is changing the way information is presented, the way media content is produced, and the relationship between communicator and recipient, thereby affecting the development of documentary film.
Signature Verification System: Using Big Transfer (BiT-M-R50x1) for Accurate Authentication

In the realm of document security, signature verification stands as a vital pillar for establishing authenticity. This study delves into the utilization of the potent Big Transfer (BiT) BiT-M-R50x1 model for the intricate task of signature validation. This dataset encompasses 2149 signature images sourced from diverse individuals, exhibiting notable fluctuations in writing styles, pen pressures, and signature dimensions. By harnessing the prowess of the pre-trained BiT-M-R50x1 model, renowned for its domaingeneralization capability, we fine-tune it to excel in signature verification. The results of our approach unveil remarkable accomplishments on the dataset, yielding a validation accuracy of 98.60%. The meticulously calibrated BiT-M-R50x1 model adeptly distinguishes between authentic and counterfeit signatures, even when confronted with substantial variation. Through the mechanism of transfer learning, the model captures intrinsic attributes that extrapolate effectively to previously unseen signature specimens. Furthermore, we meticulously assess the model's performance concerning the dataset's distinctive signature idiosyncrasies, scrutinizing its adaptability to diverse styles and dimensions. This experiment underscores the potential of harnessing robust pre-trained models like BiT-M-R50x1 for signature verification undertakings, particularly when grappling with intricate and heterogeneous datasets.
Robust 3D reconstruction technology based on ternary polarization coding strategy

Fringe projection profilometry (FPP) has been widely used in various fields because of its high precision and efficiency. However, fringe images containing overexposed areas are obtained by traditional FPP for high-reflective object surfaces, which leads to errors in absolute phase and three-dimensional (3D) reconstruction results. A robust 3D reconstruction technique based on a polarization state-based ternary polarization coding strategy is proposed to address these errors. Instead of the light intensity coding patterns, the polarization coding patterns are used in this method. Next, the S1 image is calculated using the polarization image captured by the camera. The Stokes parameter is utilized to segment the fringe codewords without using a specially designed threshold. The proposed method enhanced the stability of the fringes, improved the quality of the fringes, and reduced the number of fringe patterns. Experimental results verified that the proposed method has higher robustness than the conventional method in the measurement of objects with high-reflective surfaces. The results reveal that the proposed method can suppress the effect of highlight areas in the reconstruction of high-reflective surfaces to obtain accurate absolute phases and reconstruct the 3D point cloud data reliably.
Research on the Innovative Development of Mud Genie-Mud Goo Goo and its IP Creation

Xun County Mud Goo is one of the first national non-foreign heritage items and is a representative of traditional clay sculpture in Henan. The village of Yang Qi Tun in Xun County, located along the old Yellow River Road, is known as "the first clay sculpture village in China". Throughout the years, the development of local clay goo heritage has suffered from a weak awareness of folk culture preservation and a lack of innovation and practicality in its products. The aim is to promote the sustainable development of Mud Goo by exploring the innovative development path of mud gu and its IP creation.
USING IT TOOLS IN SOCIOLOGICAL SURVEYS FOR DETERMINING THE SOCIAL PROFILE OF ASTANA IT UNIVERSITY STUDENTS

The article gives an overview of Astana IT University's (AITU) experience in using IT tools in sociological study to determine the social profile of an AITU student based on the data of sociological surveys. The purpose of the study is aimed at summarizing the experience how IT tools can be used in gathering and processing data and survey result analysis. In this article the features of various software and hardware tools, the process of applying information technologies at different stages of sociological research that affect the effectiveness of sociological research are discussed. The aim of the study is to determine the effectiveness of various software (from word processors to statistical packages) and hardware (from cell phones to modern computers) tools at different stages of conducting a sociological survey. The most common problems the sociologist may run into when looking for a survey tool are technical, design, legal, and expertise one as well as problems with length, survey fatigue and interpreting respondents’ mood. It is highly likely in the case of long, confusing, or complicated surveys the questions can be skipped or responded mindlessly by respondents and be resulting in confusing results and inaccurate responses. Long surveys more than 10-15 minutes can course respondents mind fatigue which can lead and result the dishonest responses and survey dropout. The respondents can be tired with especially open-ended questions which require careful and deep thinking. The problem of selecting adaptive tools for conducting sociological research for obtaining the most reliable and high-quality information lies in the lack of a universal IT tool for implementing sociological research at its all stages. The model of the university efficiency promotion for sustainable development is presented to compare the progress of university efficiency in learner recruiting, hiring of local and international staff, the number of staff participated in the program of professional development, the number of laboratories and IT technologies, the range of national and international partners, etc. Stages of a Data-driven decision-making approach in university efficiency promotion are presented in detail.
Views on Children in Education

In the current field of education, the problem of children's view is a problem that seems to be solved but is far from being solved in fact. In view of this, this article chooses historical analysis and comparison between China and the West from the special perspective of the value of educational purpose, and conducts a longitudinal analysis of the evolution of the concept of children in Chinese and Western education. The review and reflection of this paper discusses the characteristics of the modern view of children, so as to provide a meaningful reference for the establishment of the view of children in our country.