Reviewerly/exHarmony huggingface dataset:
Model Sistem Reminder Jarak Otomatis Berbasis Arduino Uno Pada Sistem Social Distancing

&lt;p&gt;&lt;em&gt;One way to break the chain of spread of the corona virus is recommended to carry out social distancing with a distance of 1 Meter between one person and another. At the time this research was made there were no tools for social distancing when in public places that could provide sound warning information when there were people near us less than 1 Meter away, to overcome this the researchers made automatic distancing tools using a reminder system model. Arduino Uno-based automatic distance that can make a sound. This study resulted in a social distancing tool that can provide a warning in the form of a sound when there are people or objects that are less than 1 Meter away from the user, while if other people are more than 1 Meter away, the sound warning will turn off.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords:&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; Tools, Arduino Uno, Social Distancing&lt;/em&gt;&lt;/p&gt;&lt;p align="center"&gt;&lt;strong&gt; &lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstrak&lt;/strong&gt;. Salah satu cara untuk memutus mata rantai penyebaran virus &lt;em&gt;Corona-19&lt;/em&gt; dianjurkan untuk melakukan &lt;em&gt;social distancing&lt;/em&gt; dengan jarak 1 Meter antara satu orang dengan orang lainnya. Pada saat penelitian ini dilaksanakan, belum adan alat bantu untuk melakukan &lt;em&gt;social distancing&lt;/em&gt; ketika berada di tempat umum yang dapat memberikan informasi peringatan suara ketika adanya orang yang berada didekat kita kurang dari 1 Meter, untuk mengatasi hal tersebut peneliti membuat alat bantu &lt;em&gt;distancing &lt;/em&gt;otomatis menggunakan model sistem &lt;em&gt;reminder&lt;/em&gt; jarak otomatis berbasis &lt;em&gt;Arduino Uno&lt;/em&gt; yang bisa mengeluarkan bunyi suara. Penelitian ini menghasilkan alat bantu &lt;em&gt;social distancing&lt;/em&gt; yang dapat memberikan peringatan berupa bunyi suara ketika ada orang atau benda yang berjarak pada pengguna kurang dari 1 Meter, sedangkan jika orang lain berada pada jarak lebih dari 1 Meter maka peringatan suara akan mati&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kata Kunci: &lt;/strong&gt;&lt;em&gt;Alat bantu, Arduino Uno, Social Distancing&lt;/em&gt;&lt;/p&gt;
AN ANALYSIS OF CYBER STALKING AGAINST WOMEN IN INDIA

Ms. Sakshi; Akash Bhatia; Dr. Archana Vashishth
Big Data Correlation Analysis of Road Traffic Accidents

This paper summarizes the research status and progress of big data correlation analysis of road traffic accidents. We discuss the development process of correlation analysis of road traffic accidents in three stages: traffic accident investigation and statistics method, accident cause analysis method and big data correlation analysis method. Then we introduce the concept of big data association analysis and the development status of association rule mining, study the current situation of traffic accident cause analysis based on big data association analysis, and finally discuss the future development trend of big data association analysis of road traffic.
Blockchain Technology

This chapter is the first of three aimed at familiarizing readers with blockchain technology’s fundamental concepts. Chapter 1 introduces the reader to the foundational concepts of blockchain, such as the Byzantine Generals Dilemma, its history, its basic components, as well as its basic types and attributes. Furthermore, this chapter also discusses how blockchain technology differs from database technology and how blockchain may be a suitable complement to the current and increasingly popular zero-trust architecture. Topics discussed in this chapter include:
Smart Contract Vulnerabilities, Attacks and Auditing Considerations

As its name implies, this chapter focuses on one of the most vulnerable components of blockchain technology, namely, smart contracts. The chapter discusses a total of nine smart contract-related attacks by taking a look at the root causes of such security breaches. These include reentrancy, access control, arithmetic, unchecked return value, DoS, bad randomness, race conditions, short addresses and timestamp dependency attacks. In addition to coding errors and attack discussions, this chapter also discusses seven different smart contract audit methodologies. While – depending on the anticipated use case – not all seven audit methodologies need to be used in the course of smart contracts development, auditors need to have a basic understanding of these audit approaches to be able to recommend a proper mix of smart contract testing and evaluation before the launch of smart contracts. As mentioned, in Chapters 2 and 9, extreme caution must be exercised during the coding and testing of a smart contract, as smart contract development is akin to firmware development, in the sense that once deployed, a defective smart contract can no longer be fixed by applying a software patch to it. As such, the only workable solution is to kill the smart contract – assuming that such kill switch has been added to its design – and to replace the problematic smart contract with a fully functioning one. Information systems auditors will also find the smart contract audit template a useful tool in planning and conducting smart contract audits.
PRIORITY ASPECTS OF CULTURAL MANAGER FORMATION: CHALLENGES OF THE NEW REALITY

The article considers the specifics of creating the necessary conditions for the formation of competent cultural managers in the context of rapid globalization. The need to modernize approaches to the formation of educational environments for future cultural managers is emphasized. The need for mutual enrichment and balancing between "soft" and "hard" skills in the process of forming the professional consciousness of a cultural manager is clarified. The importance for the emergence of competent managerial cultural personnel for the proper management of the development of cultural industries is emphasized. Competence as a will to realize the functional responsibility of a cultural manager is highlighted. Various structural dimensions of cultural manager's competence, from conceptual to cognitive are considered. Creativity is conceptualized as a key competence necessary for the implementation of relevant professional expertise in the context of globalization uncertainty. The need to develop the latest educational trajectories, which enable the formation of critical thinking of future cultural managers, has been clarified as a key strategic guideline.
Overhead Costs and Financial Performance of Selected Deposit Money Banks in Nigeria

Cost effectiveness can lead to rapid improvement of firm's financial performance (Kinyugo, 2014; Liu, Wu, Zyong and Liu, 2020).There exists a direct relationship between effective management of direct and indirect costs and profitability of listed non-financial firms in Nigeria (Oluwagbemiga, Olugbenga and Adeoluwa, 2014; Okezie, Okezie and Ogbu, 2017).However, overhead expenses are either affected by fluctuations in the volume of productions or sales activities (direct/variable overhead) or otherwise (fixed overhead).They are generally of fixed nature.Ogbadu (2009) observed that the increasing trend of overhead costs has been the leading challenge of consumer and industrial goods firms which gulp business profits.This observation also applies to the banking sector and has led to the continuous closure of banking firms and other manufacturing companies in Nigeria.Anup and Nagarajan (1990) opined that profitability is the profit earning capacity of the firm, which is considered to be the key factor in influencing the reputation of the firm.The borrowing capacity of firms has been linked to depend on the level of profit achieved as at the end of the financial year.Profitability inspires public investments, increases market value of firms, provides return (dividend) to shareholders and makes a provision for the future expansion of the firm that would generate a better profit (Sitienei and Memba, 2015).The incessant shutdowns, unemployment, redundancy and low capacity utilization by banking firms resulting in high cost of inputs hinders the financial performance of the industry.The justification or otherwise of overhead costs in driving the financial performance and indeed other corporate value indices of banking firms in Nigeria has constituted a challenging academic puzzle and dilemma in the past few decades.Numerous empirical studies on the association between overhead costs and the profitability and other performance indicators of banking firms in Nigeria arrived at differing and conflicting results.While some showcased that overhead costs exerted no significant effect on profitability of banking firms, others indicated overhead costs as having significant effect on profitability, although carried out using specific variables and tools.This study, therefore, becomes imperative as their relationship has an obvious research gap giving the divergence in results.Further, banking firms in Nigeria are diversifying to subsectors with even higher overhead
AUTHENTIC MATERIAL ORIENTED TASKS IN ENGLISH TEXTBOOKS

this research aims to explore authentic material oriented tasks in the two selected textbooks for 10 th grade of Senior High School in Indonesia. The is qualitative research using the document analysis. The data were collected from two textbooks, i.e., "Bahasa Inggris Kelas X" (Book 1) published by The Ministry of Education and Culture and "Bahasa dan Sastra Inggris Kelas X" (Book 2) published by Yrama Widya. The authentic tasks in the textbooks were analyzed based on skill focus, principles used, and sources used. The result shows that only a few tasks are authentic in both textbooks. Only 5 out of 287 tasks are authentic in Book 1. Book 2 has slightly more authentic tasks. 10 out of 211 tasks are authentic in Book 2. Book 1 focuses on reading skills (71%) whereas Book 2 focuses on writing skills (90%). In terms of the principles used, the result shows that both books use slightly different principles. Book 1 uses the principles of ‘having a real/genuine communicative purpose’ and ‘using real/fact information’ while Book 2 focuses on ‘using a real fact and information’. Moreover, the sources used in authentic material-oriented tasks particularly found in Book 1 are printed media and internet devices while in Book 2, internet devices are mostly used as the source. In conclusion, both English textbooks provide less authentic material-oriented tasks than pedagogical tasks.
Human action recognition using spatial and temporal sequences alignment

In this study, we propose a novel scheme for human action recognition that combines the advantages of both spatial and temporal representations. We use shape context (SC) as pose representation in the spatial domain, and explore the temporal feature by taking into account the correlation between sequential poses within an action. In terms of the pose matching with high-dimensional data, we provide a fast matching algorithm using pyramid match kernel (PMK) based on adaptive partitioning. Additionally, this work introduces a size-pruning based longest common sub-sequence (LCSS) alignment algorithm for action sequence matching, and obtains the final cost via the decision-level fusion. Experimental results prove the viability and superiority of the fusion of two descriptors and the proposed method outperforms the majority of state-of-the-art methods on Weizmann and KTH datasets.
Digital Teaching Research Based on the Intelligent Research and Training Platform: Citing the Practice of the Chinese Teaching and Research Group of Senior Secondary School Affiliated to Xingyi Normal University for Minorities as a Case Study

The Intelligent Research and Training Platform (IRTP) of the National Center for Educational Technology (NECT) is an application designed to integrate AI technology and teacher education in response to the “Artificial Intelligence + Teacher Education” strategy, in order to provide teacher professional development and power the advancement of basic education. In this study, a school teaching and research team conducted instructional research on the seventh-grade Chinese lesson Wisteria, utilizing analytical reports of classroom observation, teaching behavior, and teacher ability matrix generated by the Intelligent Research and Training Platform’s big data-based evaluation of classroom teaching for this lesson. Using data analytics and scale grading, this kind of practice helps teachers get better at doing research in their own fields.
Review on the Application of Information Technology in Physical Education Curriculum and Teaching

The importance of information technology guiding the development of physical education is reflected in every field of physical education curriculum and teaching. However, due to China's late start in this field, the relevant literature is relatively confusion, lack of systematic arrangement and summary, which is not conducive to future research. The purpose of this study was to provide reference for further research in this field, and to lay a theoretical foundation for improving the level of physical education curriculum and teaching in our schools and the formation of students' good physical and mental health. In this scoping review study, we used the following keywords: “information technology”, AND “physical education curriculum” AND “physical education teaching” AND/OR “applications” for the literature search via the CNKI. Through the method of literature and content analysis, this paper mainly analyzes the current situation and problems of the application of information technology in physical education curriculum and teaching. At present, especially in rural areas, the construction of extracurricular exercise information platform in schools in China still has great limitations and imperfections. In addition, part of the physical exercise APP is not perfect, people in the physical exercise is easy to be misled, resulting in sports injury. China's physical education teaching management covers a lot of content, the lack of school talents, the implementation is relatively difficult. The integration of information technology and physical education teaching methods has been a hot topic since the 1980s today. However, schools in China have not shown good results in the implementation, and teachers' teaching ideas, teaching creativity and professional knowledge are the main restraining factors. The mainly factors that affect the construction of online physical education curriculum and teaching resources in China include low utilization rate of the platform, weak computer ability of teachers, weak innovation ability, backward thinking, and unclear objectives of the platform construction. The development of information technology accelerates the reform of physical education. Therefore, it is necessary to clarify the nature and goal of physical education curriculum, and give full play to the role of information technology in curriculum construction and teaching under the guidance of advanced educational science theory. At the same time, the government, schools and society should coordinate efforts to address these problems.
Reputation-Based Consensus for Blockchain Technology in Smart Grid

Accurate and thorough measurement of all nodes' trustworthiness should create a safer network environment. We designed a blockchain-based, completely self-operated reputation system, R360, to enhance network security in decentralized network. R360 is a multi-factor measurement on the reputation of all nodes in the network. Specifically, a node's function, defense capability, quality of service provided, availability, malicious behavior, and resources are evaluated, providing a more accurate picture about a node's trustworthiness, which in turn should enhance the security of blockchain operations in a non-trust environment. Our design has been implemented on a single-machine, simulated setting, which demonstrates that, comparing to systems with few dimensions, R360's consensus took less time while at the same time providing better security to the system. Further security analysis shows that our design can defend common security attacks on reputation systems. Such a blockchain-based, self-operated reputation system could be used to manage smat grids for more efficient energy production and delivery.
Data integration in a Hadoop-based data lake: A bioinformatics case

When we work in a data lake, data integration is not easy, mainly because the data is usually stored in raw format. Manually performing data integration is a time-consuming task that requires the supervision of a specialist, which can make mistakes or not be able to see the optimal point for data integration among two or more datasets. This paper presents a model to perform heterogeneous in-memory data integration in a Hadoop-based data lake based on a top-k set similarity approach. Our main contribution is the process of ingesting, storing, processing, integrating, and visualizing the data integration points. The algorithm for data integration is based on the Overlap coefficient since it presented better results when compared with the set similarity metrics Jaccard, Sørensen-Dice, and the Tversky index. We tested our model applying it on eight bioinformatics-domain datasets. Our model presents better results when compared to an analysis of a specialist, and we expect our model can be reused for other domains of datasets.
Fast full-field 3D surface profilometry by heterodyne interferometry of a femtosecond laser

We present an interferometer of a femtosecond laser for fast full-field 3D surface profilometry. The heterodyne interference is introduced to reduce the requirement of camera’s frame rate, thus achieving an enhancement on the measured speed. This method has experimentally demonstrated to increase the measurement speed several fold without significant loss of precision.
Ultra-low Crosstalk Multiplexer for Neuromorphic Photonic Data Processing

Neuromorphic architectures aim for powering artificial intelligence algorithms energy efficiently. We fabricate a neuromorphic photonic circuit for matrix vector multiplications using phase change materials and integrate wavelength multiplexers with a crosstalk below -41 dB on-chip.
Learning-based quantum state reconstruction using biased quantum state distributions

We derive the Dirichlet concentration parameters for mixtures of Haar-random pure states that recover mean purities equal to standard measures, demonstrating how tailored distributions attain appreciable performance advantages in machine-learning-based and Bayesian quantum state reconstruction.
Two-Mode Photon-Number Correlations Created by Measurement-Induced Nonlinearity

We demonstrate theoretically and experimentally complex correlations in the photon numbers of two-mode quantum states using measurement-induced nonlinearity. For this, we combine the interference of coherent states and single photons with photon sub-traction.
Spam Recognition Model Based on TextCNN

With the advancement of modern Internet technology, email is widely used in people’s daily lives and has become one of the common communication tools. However, at the same time, email-based spam has also been widely spread, flooding people’s lives and not only wasting public resources but also infringing on people’s legitimate rights and interests. Based on this, we propose a Spam recognition model based on TextCNN by combining Convolutional Neural Network and Natural Language Processing, where natural language processing techniques are used to pre-process the text in the spam corpus to obtain text features, which are then imported into the constructed Convolutional Neural Network analysis model. A CNN spam recognition model is then designed and analyzed hierarchically using the TensorFlow framework. After extracting the features from the email dataset, the model was fed into the convolutional neural network again for several iterations of training. The results indicated that the model achieved an accuracy of 97.7% in spam recognition, which is an exceptionally significant improvement in accuracy and stability compared to the SVM model used previously, demonstrating good filtering performance.
ARQUIVOLOGIA: A GESTÃO DE DOCUMENTOS COMO REQUISITO PARA DAR ACESSO ÀS INFORMAÇÕES DA ADMINISTRAÇÃO PÚBLICA

The work focuses on the decolonization process and how it is seen in today's society, bringing its problems involving the colonization process of Brazil, legal thought and prejudices rooted due to patriarchy.
Preserving Linguistic Heritage for Generations to Come!

Speech to Text is the ability to convert spoken word to text. There are many speech to text conversion applications available for different languages. Tamil is an ancient classical language which is vastly spoken in southern parts of India, Sri Lanka, Malaysia, and Singapore. The speech to text application is designed from an indigenous perspective to enable the native speakers to preserve their linguistic heritage. The application was developed using agile methodology and the testing of the application suggested that the existing API do not support in the notion of preserving the language in its original form.
Workshop on Serious Games and their Educational Applications

The workshop on Serious Games and their Educational Applications presents outcomes of the National Scientific Program “ Cultural and Historical Heritage, National Memory and Social Developmen t”, funded by the Ministry of Education and Science (approved by DCM No 577 of 17 August 2018), achieved during the first year under the Work Package No. 4 “Activities for the Development of Scientific and Scientific-Applied Products” (Activity "Digitization and virtualization of cultural heritage"). The workshop outlines also some future trends for educational applications of serious games.
Using Big Data for Solving Big Problems of the Cultural and Historical Heritage

Damage or destruction of cultural and historical objects due to time and other factors is a key problem in culturology and archaeology. The article examines the use of technologies related to processing of the so-called „big data“ in search of a rational solution to this important scientific and social problem.
Conceptual Model of a Mobile Application for Educational Purposes to Help Preserve the Country's Historical Heritage and Promote the Cultural Identity of the Nation

The increase of smartphones with Internet access has been a steady trend over the last 10 years and already represents a solid infrastructure that can be easily used for educational purposes. The creation of a mobile application in the field of cultural heritage can be a valuable aid for the dissemination of cultural and historical data.
A Method for Point Spread Function Estimation of Single Lens Based on Corner Point Detection

In this paper, the existing Point Spread Function (PSF) estimation method is improved, and the spatial variation PSF of aspherical single-lens imaging system is estimated. Most of the existing PSF estimation methods for spatial variation do not consider the fusion of adjacent regions, and the accuracy of edge regions is poor. In this paper, a PSF estimation method based on corner detection is proposed, which makes full use of the similarity of adjacent fuzzy kernels of asphere lens and the spatial symmetry of non-curved lens PSF, and improves the estimation accuracy of PSF with spatial variation.