Reviewerly/exHarmony huggingface dataset:
Research on Architecture Design of Mobile Video Surveillance System in Information Room Based on Intelligent Robot Technology

With the gradual development of information technology, the idea of combining mobile robot and wireless remote control technology is adopted to build a wireless network platform between a computer and robot. At present, there are conditions to realize this idea. In this idea, the wireless data transmission can be realized on the platform. Users can remotely control and access the monitoring system of the computer room and set up alarm systems and detectors, so as to monitor the working conditions of the robot at the computer terminal, truly realize the man-machine coordination, and ensure that the robot can complete the specified tasks well in various complex environments. This research first deeply analyzes the current development status and existing problems of the information room monitoring technology and then puts forward the mobile video monitoring system architecture of the information room based on the intelligent robot monitoring technology. The system architecture integrates computer technology, network technology, and control technology. With the continuous updating of technology, video surveillance has also entered the mobile era. Combined with the timely monitoring video acquisition system of mobile robots, it solves the current working environment for many industries and enterprises. Using robot chassis technology, it designs the corresponding bottom hardware control and upper equipment to achieve data acquisition with related equipment. The mobile video surveillance system solves the problems encountered by the traditional video surveillance system and can monitor video images through remote operation and centrally monitors the operation status of the equipment in the room and the environmental status of the room, which is more conducive to improving the management efficiency. It provides a new idea to ensure the safe and stable operation of various equipment and systems in various places.
Hardware Realization of Kinematic Mechanism and Control System of Multifunctional Industrial Robot

In order to improve the position control accuracy of industrial robots and solve the problems of poor real-time and reconfigurability of traditional motion controllers, a hardware implementation method for the motion mechanism and control system of multi-functional industrial robots is proposed. The video acquisition system is suitable for infrared detectors containing 4 channels or readout circuits in 4 channels. The video display system is compatible with the old AV/S-Video interface, and is also suitable for computer system video graphics array (VGA) analog video interface and high-definition video interface. Multimedia Interface (HDMI) digital high-definition video interface display terminal equipment. The hardware circuit of video acquisition and corresponding video interface image output is designed, including signal amplification circuit, analog-to-digital conversion circuit, video information buffer circuit, video display digital-to-analog conversion circuit, and interface hardware circuit, to realize the digitization of image information acquisition and image information. Display simulation, construct VGA, AV/S-Video, and HDMI timing sequence with hardware description language through Field programmable gate array (FPGA) to complete the display of corresponding terminal equipment. The experimental results show that the experimental data was substituted into the formula and the variance <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>σ</mi> </math> = 0.09 mm was found, indicating that the detection error of the system is less than 0.27 mm, which meets the detection requirements. Through the 3D contour reconstruction experiment of the workpiece, the expected function realization of each module is proved, and the feasibility of the system software and hardware system is verified. This design has good scalability and stability, reducing labor costs.
Water Quality Assessment and Risk Analysis Calculation of Chloride and Sodium Exposure of Well Water in Tanggulangin, Sidoarjo

Tanggulangin is one of the areas affected by the Lapindo mud, also one of the sub-districts in Sidoarjo with many working industries. Some research reported that there was a decrease in the quality of well water in Tanggulangin due to these things, as well as a lack of public awareness of the environmental issues. Thus, this study aims to assess the quality of well water in the village of Kedensari, Tanggulangin, Sidoarjo based on physico-chemical characteristics. In addition, using the general equation from the EPA (Environmental Protection Agency), this paper discusses the calculation of the risk analysis of chloride and sodium exposure to health in three scenarios, 1) an adult weighing 80 kg and consuming water for 20 years; 2) an adult weighing 60 kg and consuming water for 20 years; and 3) children weighing 20 kg and consuming water for 8 years. Based on the measurement results of several parameters, physically and chemically, as well as organoleptic observations, and compared with the health ministry regulations, the water in the area is safe for consumption. However, based on the results of calculations, exposure to chloride and sodium from the water poses a risk to health in the specified time with an RQ value of more than 1. The risk from exposure to chloride is greater than from sodium.
DNA Sequencing using M achine L earning and D eep L earning A lgorithms

DNA Sequencing plays a vital role in the modern research. It allows a large number of multiple areas to progress, as well as genetics, meta-genetics, and phylogenetics. DNA Sequencing involves extracting and reading the strands of DNA. This research paper aims at comparing DNA Sequencing using “Machine Learning algorithms (Decision Trees, Random Forest, and Naive Bayes) and Deep Learning algorithms (Transform Learning and CNN)”. The aim of our proposed system is to implement a better prediction model for DNA research and get the most accurate results out of it. The “machine learning and deep learning models” which are being considered are the most used and reputed. A prediction accuracy of the higher range in deep learning is also being used which is also the better performer in different medical domains. The proposed models include “Decision Tree, Random Forest, Naive Bayes, CNN, and Transform Learning”. The Naive Bayes method gave greater accuracy of 98.00 percent in machine learning and the transform learning algorithm produced better accuracy of 94.57 percent in deep learning, respectively.
Nature of Knowledge in Philosophy

This article is devoted to the philosophical study of the conditions under which knowledge can become a component or tool of education. The presentation of the contribution of epistemology to human development and education is based on addressing issues such as the nature of knowledge, sources of knowledge, theories, and criteria of truth. We proceed from the idea that knowledge is a condition of education. Particular attention is paid to the issue of distinguishing between such types of knowledge as 'knowing how’ and ‘knowing that'. Educational practices open a common foundation that unites the life world of people, types of sociality, and hermeneutical practices. The epistemological approach to the question of the essence of knowledge assumes that knowledge meets three requirements, namely, knowledge must be objective, subjective, and evidentiary. Epistemology includes subjectivity as the basis of human existence in the natural world and the world with others. Intersubjectivity is considered a criterion for the reliability of knowledge about the world, which allows asserting the relationship of the objective with the subjective.
Investigation of startups’ sustainability: empirical evidence from Saudi Arabia

Despite many government attempts, it is still unclear how individual startups grow and promote their sustainability-oriented market innovations and alter markets toward sustainable growth in Saudi Arabia.This research aims to uncover the factors that contribute to a startup's long-term viability and establish interrelationships among them.A two-phased method was used in this study.Empirical research on startups' sustainability was undertaken in the first phase to identify the most critical enablers from a list of factors found after a thorough literature review.A hierarchy-based model is built among the most critical enablers in the second phase, utilizing interpretative structural modeling (ISM).The study discovers that: (1) there are ten factors influencing entrepreneurial startups' sustainability that play different hierarchical roles; (2) the startup product/service & market position, as a key influencing factor of entrepreneurial startups' sustainability, can be cultivated and improved by enriched startup partnerships & resources, industrial and market; and (3) regulatory & political may indirectly affect startups' sustainability by affecting the entrepreneurial environment.Policymakers in Saudi Arabia might utilize the methodology described in this paper to design appropriate policies for enhancing startup sustainability.
Assessing the Readiness for and Knowledge of BIBFRAME in Canadian Libraries

This study assesses the Canadian library community’s understanding of and readiness for the transition from the MARC format to the BIBFRAME model. Results indicate that knowledge of BIBFRAME is low among respondents and that most of the libraries surveyed do not know enough about BIBFRAME to consider planning a transition. The success of the transition will depend on the leadership of larger libraries as well as better training in formal programs and continuing education initiatives.
AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder

Image anomaly detection problems aim to determine whether an image is abnormal, and to detect anomalous areas. These methods are actively used in various fields such as manufacturing, medical care, and intelligent information. Encoder-decoder structures have been widely used in the field of anomaly detection because they can easily learn normal patterns in an unsupervised learning environment and calculate a score to identify abnormalities through a reconstruction error indicating the difference between input and reconstructed images. Therefore, current image anomaly detection methods have commonly used convolutional encoder-decoders to extract normal information through the local features of images. However, they are limited in that only local features of the image can be utilized when constructing a normal representation owing to the characteristics of convolution operations using a filter of fixed size. Therefore, we propose a vision transformer-based encoder-decoder model, named AnoViT, designed to reflect normal information by additionally learning the global relationship between image patches, which is capable of both image anomaly detection and localization. The proposed approach constructs a feature map that maintains the existing location information of individual patches by using the embeddings of all patches passed through multiple self-attention layers. The proposed AnoViT model performed better than the convolution-based model on three benchmark datasets. In MVTecAD, which is a representative benchmark dataset for anomaly localization, it showed improved results on 10 out of 15 classes compared with the baseline. Furthermore, the proposed method showed good performance regardless of the class and type of the anomalous area when localization results were evaluated qualitatively.
IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection

Code-mixing is the phenomenon of using multiple languages in the same utterance of a text or speech. It is a frequently used pattern of communication on various platforms such as social media sites, online gaming, product reviews, etc. Sentiment analysis of the monolingual text is a well-studied task. Code-mixing adds to the challenge of analyzing the sentiment of the text due to the non-standard writing style. We present a candidate sentence generation and selection based approach on top of the Bi-LSTM based neural classifier to classify the Hinglish code-mixed text into one of the three sentiment classes positive, negative, or neutral. The proposed approach shows an improvement in the system performance as compared to the Bi-LSTM based neural classifier. The results present an opportunity to understand various other nuances of code-mixing in the textual data, such as humor-detection, intent classification, etc.
Features of teacher’s reflection: Connection with personal and professional value orientations

Introduction . The development of professional reflection is determined by the nature of the activity in relation to which it is carried out. At the same time, teacher professional reflection is an effective resource for the development of educational activities. At the present stage, there is a wide variety of education models. Each educational model is characterised by its special values; reflection has its own special meaning, purpose, and result in a specific educational model. Aim . The current research aims to present the authors’ model for studying the features of teacher professional reflection; to discuss the results of testing this research model, which made it possible to draw a number of conclusions about the presence and nature of the relationship between the level of teacher professional reflection and their personal and professional values. Methodology and research methods . The present research is based on the activity approach, theoretical provisions on the structure and functions of reflection of activity, the meaning of reflection in various models of education, the types of professional pedagogical reflection. The research model is developed through the questionnaire method and the case method. The study involved primary and secondary school teachers of three educational complexes in Moscow (N = 63). Results . It has been established that the values of the life and professional plan of the subjects are consistent with each other, and professional actions are generally not related to the declared professional values. The authors confirmed the hypothesis that the reflection of positional type has a significant positive relationship between the degree of congruence between the values declared in the survey and those manifested in solving problematic professional situations and the level of development of reflection of these types. Scientific novelty lies in the development of a model for studying the features of professional reflection associated with the personal and professional values of the teacher. The results obtained in the course of its approbation can serve as a basis for understanding the mechanisms for the development of professional reflection of teachers in various models of education. Practical significance . The developed methodology for studying the features of professional reflection of teachers can be used for the further creation of the set of tools for self-assessment and the development of professional pedagogical competence, the core of which is pedagogical reflection.
DDHE - SYNCHRONOUS OR ASYNCHRONOUS DIDACTIC IN HIGHER EDUCATION INSTITUTIONS AFTER COVID-19

COVID-19 has led to growing dependence on synchronous and asynchronous learning methods. New technologies and software offer both positive and negative implications of knowledge. Some researchers argue that students do not achieve higher level learning in synchronous courses. We have to learn in how to use this technology for effective learning. Universities and academies are now experiencing the influence of synchronous and asynchronous learning methods. Online learning experiences after two years of covid give chance to summarize. This case study explored asynchronous methods derived from experiences in higher education institutions from Bulgaria, Greece, Poland and Romania. In present article presents an analysis of asynchronous learning methods used in the project “Implementation of Digitalization in Defence Higher Education-DDHE”. The purpose of this paper is to demonstrate that asynchronous online learning used in DDHE can create a rich cognitive presence capable of supporting learning in military higher education institutions. Asynchronous online learning in DDHE is not just another educational technology to be used as a simple enhancement but introducing the teacher to a higher level of cognitive didactics. DDHE is forcing educators to reflect on the teaching and learning process and what constitutes effective learning.
DIGITALIZATION OF HIGHER EDUCATION THROUGH VIRTUAL REALITY EXPERIENCE

The digitalization of modern society and in particular the development of the concept of simulated realities and the attempts to create such provide great opportunities to increase the efficiency of the educational system using distance learning not only in emergencies but permanently
Teaching Aids Development for Arabic Lessons to Enhance Student’s Reading Skills

This study aims to enhance students reading skills of the ninth-grade students in Madrasah I'dadiyah Muhammadiyah. This research is research and development Borg &amp; Gall study used to obtain a specific production, know the effectiveness of its implementation, and verify its validity for scholars, using the qualitative and quantitative approach to analyze quantitative and qualitative data. The methods used in it consisted of interviews, Tests, questionnaires, and written documents. In analyzing the data, this research used the Statistical Package for the Social Sciences, version 25 SPSS 25 method T-Test, and the Wilcoxon Signed. The developed educational aids come in the Android program by choosing the appropriate material, exercises, and teaching methods. The effectiveness is obtained from the results of the pre and post-tests by implementing: descriptive statistical analysis, conditional testing, and inferential testing in the extended experiment, and the result indicates that there is progress in their language proficiency, especially in reading skills. These teaching aids are attractive and exciting and help students learn Arabic, especially reading Arabic.
A BIBLIOMETRIC ANALYSIS FOR GLOBAL RESEARCH TRENDS ON DIGITAL ECONOMY

Introduced two decades ago, the digital economy concept became a subject of interest for governments and businessmen, politicians and researchers. This paper aims at highlighting the current state of research and trends on digital economy. There is no previous evidence of a global bibliometric analysis on digital economy. Therefore, we conducted a bibliometric analysis on digital economy literature, to identify area of interest and potential for future research. Through this research we aimed to answer the following questions: How many scientific papers on digital economy have been published in journals? What are the most productive journals, countries and authors on the subject of digital economy? What are the most cited papers on digital economy? What are the most frequent keywords in published documents on digital economy? The data used for the research were extracted from the Web of Science database, collections Science Citation Index Expanded, Social Sciences Citation Index, and Emerging Sources Citation Index, and the processing of collected information was done using package biblioshiny for bibliometrix from statistical R software. The results, obtained with the mentioned computer tools, answer the research questions. Research production and publication of documents on digital economy are increasing. As no bibliometric analysis on digital economy has been identified in the Web of Science database, this paper is intended to cover this gap
Design Partnering Framework to Reduce Financial Risk in Construction Projects

The Research aims to design a partnering framework that can be used by construction project, from previous research it is stated that partnering is believed to be a tool that can encourage the achievement of lean construction indicators so that it is better to achieve project performance include cost, quality and time, including change orders, unpredictable due to design changes.However, no research has been found that makes a detailed partnering framework based on the systems and subsystems involved in project implementation.Through literature studies from various journals and previous research, this research uses a mixed method there are qualitative and quantitative analysis to design a partnering framework that can be used as a reference in achieving lean construction indicators and project indicators in the form of cost, quality and time.In the end results, this research will provide benefits for stakeholders involved in project delivery systems, both integrated and nonintegrated, consisting of contractors, subcontractors, owners and design consultants.
Professional deficits of teachers in the field of ICT competencies, manifested in the conditions of digital transformation of education

Introduction. The relevance of the study is determined by the fact that the digital transformation of the educational space has led to the emergence of a new problem area associated with the willingness of teachers to use modern digital tools that are an integral part of the digital transformation of the educational space. The purpose of the article is to analyze and summarize the monitoring of the existing professional deficits of teachers in the field of ICT competencies, manifested in the conditions of digital transformation of education. Materials and methods. The survey was attended by 2,451 people: 707 math teachers, 1,110 Russian language teachers and 634 social studies teachers from 7 regions of the Russian Federation. The survey took into account the characteristics of respondents: the subject taught; the amount of workload; place of work; age; teaching experience. The results of the study. The study showed that there are the following professional deficits of teachers in the field of ICT competencies, manifested in the conditions of digital transformation of education: insufficient level of proficiency of teachers with digital technologies and tools, the level of equipment of schools with computer and communication equipment, the quality of Internet connection as an important factor in the use of modern digital technologies. A potentially problematic area is the ability of teachers to organize the effective use of digital technologies in the educational process and to prepare students for the use of digital tools in educational activities. The study showed that 92% of the teachers surveyed possess basic digital literacy skills, about 30% of respondents possess professional ICT competencies, 75% contribute to students' understanding of the risks and threats of the digital environment. Сonclusion. Based on the results of the survey of teachers, recommendations are given in the following areas: it is necessary to organize a process of continuous training of teachers in the field of digital technologies, which should include such activities as advanced training courses in the field of digital technologies; organize work on conducting methodological seminars (webinars) on the use of digital technologies to solve specific pedagogical tasks; to introduce the practice of conducting master classes with the best solutions in the field of using digital technologies in the educational process into the work of methodological associations of teachers; organize assistance to teachers in the development of digital technologies by digital volunteers; it is necessary to create conditions for self–training of teachers in the field of ICT competencies.