Reviewerly/exHarmony huggingface dataset:
AN AUTOMATED COVID-19 FACEMASK DETECTION WITH DEEP LEARNING

The COVID-19 pandemic is causing a worldwide wellbeing emergency so the successful security strategies is wearing a face veil in open regions as indicated by the World Health Organization (WHO). The COVID-19 pandemic constrained governments across the world to force lockdowns to forestall infection transmissions. Reports show that wearing face veils while at work unmistakably diminishes the danger of transmission. A proficient and monetary methodology of utilizing AI to establish a protected climate in an assembling arrangement. A mixture model utilizing profound and traditional AI for face cover discovery will be introduced. A face veil identification dataset comprises cover and without cover pictures , we will utilize OpenCV to do continuous face location from a live stream through our webcam. To utilize the dataset to assemble a COVID-19 face veil indicator with PC vision utilizing Python, OpenCV, and TensorFlow and Keras. We will probably recognize whether the individual on video transfer is wearing a face cover or not with the assistance of PC vision and (RCNN) profound learning
Broad-band phase retrieval method for transient radial shearing interference using chirp Z transform technique*

The transient radial shearing interferometry technique based on fast Fourier transform (FFT) provides a means for the measurement of the wavefront phase of transient light field. However, which factors affect the spatial bandwidth of the wavefront phase measurement of this technology and how to achieve high-precision measurement of the broad-band transient wavefront phase are problems that need to be studied further. To this end, a theoretical model of phase-retrieved bandwidth of radial shearing interferometry is established in this paper. The influence of the spatial carrier frequency and the calculation window on phase-retrieved bandwidth is analyzed, and the optimal carrier frequency and calculation window are obtained. On this basis, a broad-band transient radial shearing interference phase-retrieval method based on chirp Z transform (CZT) is proposed, and the corresponding algorithm is given. Through theoretical simulation, a known phase is used to generate the interferogram and it is retrieved by the traditional method and the proposed method respectively. The residual wavefront RMS of the traditional method is 0.146 λ , and it is 0.037 λ for the proposed method, which manifests an improvement of accuracy by an order of magnitude. At the same time, different levels of signal-to-noise ratios (SNRs) from 50 dB to 10 dB of the interferogram are simulated, and the RMS of the residual wavefront is from 0.040 λ to 0.066 λ . In terms of experiments, an experimental verification device based on a phase-only spatial light modulator is built, and the known phase on the modulator is retrieved from the actual interferogram. The RMS of the residual wavefront retrieved through FFT is 0.112 λ , and it decreases to 0.035 λ through CZT. The experimental results verify the effectiveness of the method proposed in this paper. Furthermore, the method can be used in other types of spatial carrier frequency interference, such as lateral shearing interference, rotational shearing interference, flipping shearing interference, and four-wave shearing interference.
Creation of Methodological Systems of School Heometry for Using Information Technologies

Currently, there is growing interest in improving the effectiveness of education through the use of innovative and information technologies that are rapidly developing in the educational process. Lessons using the most modern technologies are aimed at searching, studying, analyzing and even conclusions. This facilitates the formation, formation, acquisition and training of individuals and communities in the process, and also serves as a manage and guiding person.nThe Law on Education emphasizes that one of the main challenges of today is the introduction of computer and information technologies in the educational process of educational institutions.
Audit Outsourced Data in Internet of Things

With the increase in network transmission rates, the Internet of Things (IoT) has gradually become a trend. Users can upload the data generated by the device to the cloud database to save local storage space, thereby reducing local storage costs. Because uploading data to the cloud loses physical control of the data, an audit is required. Traditional audit protocols are not completely suitable for lightweight devices in the IoT. This paper proposes a new type of audit protocol suitable for lightweight devices with weak computing power. This protocol transfers part of the computation of data tags to a cloud storage provider (CSP) with strong computing power, thereby reducing the introduction of computing entities. Our scheme supports the dynamic operation of data and guarantees the effectiveness of challenge response by blockchain. Compared with existing schemes, our scheme is more secure and effective.
The Influence of Using Mobile Applications for Second Language Learning on Chinese Undergraduates

With the development of technology of mobiles, Mobile devices have many practical abilities including Internet access, voice-messaging and video-recording. All of these abilities make different aspects of second language learning possible, including listening, speaking, reading and vocabulary learning. The wide use of smartphones and other portable devices provides a new way of language learning. However, the influence of using mobile apps for second language learning remains unclear. This study aims to investigate the influence of using mobile apps for second language learning according to Chinese undergraduates of English. First,it examines the pedagogical features of five representative ESL learning apps according to the analytical framework of MALL. Then it identifies learners’ experience and current situation of using mobile apps for English learning and investigated learners’ evaluation of using those apps. Finally, the strengths and weaknesses of using mobile apps for English learning from learners’ perspective are analysed. The two research tools of this study are questionnaire and interview. The result finds that using mobile apps for English learning has positive influence on Chinese undergraduates.
Data reuse in the social sciences and humanities : project report of the SWITCH Innovation Lab “Repositories & Data Quality”

The underlying data and additional materials in connection with this publication are available at: https://doi.org/10.5281/zenodo.4609834The code used for data analysis is available at: https://github.com/ZHAW-Services-Research-Data/SWITCH-Innovation-Lab-Repositories-Data-Quality
Tractable Lexical-Functional Grammar

The formalism for Lexical-Functional Grammar (LFG) was introduced in the 1980’s as one of the first constraint-based grammatical formalisms for natural language. It has led to substantial contributions to the linguistic literature and to the construction of large-scale descriptions of particular languages. Investigations of its mathematical properties have shown that, without further restrictions, the recognition, emptiness, and generation problems are undecidable, and that they are intractable in the worst case even with commonly applied restrictions. However, grammars of real languages appear not to invoke the full expressive power of the formalism, as indicated by the fact that algorithms and implementations for recognition and generation have been developed that run—even for broad-coverage grammars—in typically polynomial time. This paper formalizes some restrictions on the notation and its interpretation that are compatible with conventions and principles that have been implicit or informally stated in linguistic theory. We show that LFG grammars that respect these restrictions, although still suitable for the description of natural languages, are equivalent to linear context-free rewriting systems and allow for tractable computation.
Curricular environmentalization. Covid-19, new emphases for education

Curricular environmentalization has been promoted from the field of environmental education for environmental training-with criteria to ensure the sustainability-of future generations that will carry out the professional practices for which they have been trained. Higher education institutions are considered agents of social change, providing solutions to critical social problems and training future professionals. However, they play a paradoxical role because, to a large extent, they have contributed to the emergence of environmental problems and unsustainability. It has been proposed to critically assess the type of professional training that has been promoted by the universities, in order to corroborate their commitment to the care and maintain the ecosystem properties of nature. In this article, we provide a summary of the directions of curriculum environmentalization before the Covid-19 pandemic. Some views on the appearance of the coronavirus in the life of human beings are discussed. Because of that, the directions now being followed in the context of curriculum environmentalization feature new emphases on environmental problems for educational spaces.
Aplicação do software Open Monograph Press para criação de uma biblioteca digital de monografias de uma instituição de ensino superior

presents the procedures for the technical treatment of monographs in the open access software Open Monograph Press, a project developed at Faculdade Minas Gerais. The aim of this paper is to demonstrate the step-by-step adopted in the creation of records in Famig's Digital Monograph Library and the main difficulties encountered with the use of this software. It is considered that the chosen software met the project needs, however some limitations need to be studied so improvements can be made
How Chatbots Can Improve Customer Experience

In this previously recorded event, presenters share what chatbots are and how they and other virtual assistances have been utilized in agencies to improve customer experience.
Pelatihan Menulis Paragraf dan Pembiasaan Budaya Membaca pada Siswa Kelas VI SDN 1 Kalimantan Desa Kalimantan Kecamatan Paloh Kabupaten Sambas Provinsi Kalbar

Community service in the form of  “KKN Tematik Merajut Nusantara II” aims to provide training in writing paragraphs using DUK (Deductive: General to Special) and IKU (Inductive: Specific-General) techniques and reading culture habituation to grade VI SDN 1 Kalimantan students in Kalimantan Village District Paloh, Sambas Regency, West Kalimantan Province.The target of this service is the VI grade students of SDN 1 Kalimantan who are in Kalimantan Village, Paloh District, Sambas Regency, West Kalimantan Province. The problem faced is that the sixth grade students of the school find it difficult to assemble sentences in Indonesian into good and coherent paragraphs, and it is very low in the reading culture at school.The method used is theory giving and is accompanied directly by practice so that students' understanding is better and easier in making paragraphs in Indonesian. As for the steps taken are 1) they are asked to make a narrative paragraph by selecting several prepared titles taken from the circumstances surrounding their life in the village. 2) After selecting a title they are asked to develop it in the form of narrative paragraphs without first being asked to use the DUK and IKU techniques. 3) Then the results of their work are collected for review and given feedback. 4) At the next meeting, they were introduced to how to develop paragraphs using the DUK and IKU techniques. As for the reading culture, it is carried out after school until just before the Asr prayer and is carried out every day at the shelter for the  “KKN Tematik Merajut Nusantara II” Team. They were given various choices of book types, ranging from the form of fiction and non-fiction which had been prepared by the Uhamka Team. To test the success of reading literacy, before returning home they were asked to recount what they understood from the reading.The output obtained from the results of this community service activity is the ease with which grade VI students of SDN 1 Kalimantan make paragraphs using the DUK and IKU techniques, as well as increased reading motivation, so that the ability of the two things above can increase which in turn has an impact on Indonesian learning outcomes.
A Guide to the Selection of Accessories

The reliability and performance of a cable circuit is dependent in equal measures on the designs of the cable and accessory and on the skill and experience of the person who is assembling the accessory. The cable insulation is extruded in the factory under controlled process conditions using selected materials of high quality. It is equally important that the same quality measures are employed for the manufacture of the accessories in the factory and for their assembly on site onto the specially prepared cable.
중국의 언어교육을 중심으로 한 대외문화정책의 변천과 정책적 함의: 공자학원을 중심으로

(Purpose) The purpose of the study is to obtain policy implications for Korea''s foreign cultural border. Among other countries, China considered that the most effective way to strengthen ''soft power'' is to improve the external attractiveness of Chinese culture, and devised a plan to expand external cultural exchanges.(Design/methodology/approach) This study focuses on cultural exchange centered on language education along with an in-depth analysis of the establishment process, management and operation system of Confucius Institute, which is evaluated as being an outpost of cultural exchange from the external aspect of China. In accordance with this, overseas case studies were conducted on cultural education centers in the UK, Spain, Germany and Japan.(Findings) As a result of the analysis, one of the most important factors that allowed Confucius Institute to rapidly spread around the world as an important cultural platform of China''s foreign cultural policy was the rapid growth of the Chinese economy, but looking at growth factors other than those of the Chinese economy, it is unique. It can be classified into cooperation methods, provision of various education and exchange programs based on demand, and strong support from the Chinese government.(Research implications or Originality) This article may provide implications for future discussions based on the results of this analysis. In the case of the Korean Education Center, which mainly plays a role of foreign cultural exchange, centering on language education in Korea, it enhances clarity on the operation method of various education programs based on core principles, and is institutional in terms of staff management, budget and accounting management. It presents implications that it is necessary to improve the degree of completion.
Dynamics Analysis of the Main Indicators of the Higher Education System in the Regions of the Volga Federal District

The relevance of the chosen topic is due to the present rise of humanity to a new wave of scientific and technological progress, which is based on various achievements in high technologies of informatics, microelectronics, nanotechnology, genetic engineering, space exploration, etc. In these conditions, the education sector, which acts as a supplier of personnel, has become a priority direction of the state economic social policy of highly developed countries.
Can Cosplay in Story-Telling Improve Student’s Listening Skill in Listening to Stories Learning?

The purpose of this study is to know whether cosplay in story telling can improve students' listening skills. Listening is one of the very important part of a language lesson. Listening is one of the essential skills that will become the foundation of other language developments. Listening skill will affect the ability to speak, read, and write. Therefore listening skills need to be taught to students in elementary school level. One of the obstacles in listening learning, especially stories, is the difficulty of maintaining the student's concentration range. Therefore, a special strategy is needed to increase students' concentration when listening to a story. In an observation at school, a teacher looks dressed up uniquelly, which turns out to be one of the characters in the story he delivered in class. It is no exaggeration to call it Cosplay, what the teacher does. Even though it’s not also a perfect one. By dressing-up like a character in the story that is conveyed, children become more interested and grow their interest in learning. Students are also not easily bored. Furthermore, storytelling with Cosplay also provides its own learning experience for students
Artificial Intelligence for All vs. All Conjunction Screening

This paper presents a proof of concept for the application of artificial intelligence (AI) to the problem of efficient, catalogue-wide conjunction screening. Framed as a machine learning classification task, an ensemble of tabular models were trained and deployed on a realistic all vs. all dataset, generated using the CNES BAS3E space surveillance simulation framework, and consisting of 170 million object pairs over a 7-day screening period. The approach was found to outperform classical filters such as the apogee-perigee filter and the Minimum Orbital Intersection Distance (MOID) in terms of screening capability, with the number of missed detections of the approach controlled by the operator. It was also found to be computationally efficient, thus demonstrating the capability of AI algorithms to cope and aid with the scales required for current and future operational all vs. all scenarios.
Effect of Quality Control Standard 220 in Audit of Financial Statements: Evidence from Jordan

The purpose of this International Standard on Auditing (ISA) (220) is to establish standards and provide guidance on specific responsibilities of firm personnel regarding quality control procedures for audits of historical financial information, including audits of financial statements. This ISA is to be read in conjunction with parts A and B of the International Federation of Accountants (IFAC) code of ethics for professional accountants. This study sought to identify effect of quality control standard 220 in audit of financial statements. To achieve the study goals and for the purpose of collecting the necessary data, a questionnaire was developed and distributed on external auditors. The sample size of the study was (84) respondents. Data was analyzed using (Statistical Package for the Social Sciences (SPSS)). The study found that showed that quality control standard 220 (leadership responsibilities for audit quality, relevant ethical requirements, acceptance and continuance, assignment of engagement, engagement performance, monitoring documentation) was effect in audit of financial statements.
A New Approach for Deception Detection in Open Domain Text

The gigantic growth of platforms that give individuals the ability to write a review that is visible to everyone and the huge number of documents shared on the internet have triggered the researchers to try to detect if these platforms are trying to mislead and deceive people. There is a crucial need to find ways to automatically identify fake reviews and detect deceptive people or groups. The main aim of this research is to detect deception in open domain text by using a machine learning technique. Several sets of features are used to analyse the text including unigram, part of speech, and production rules. The experimental results showed that combined feature sets of (part of speech and production rules) using the support vector machine classifier achieve the best accuracy, and it clearly improves on the accuracy of the results reported in a previous study.
Evaluating Grid Connected Photovoltaic System Performance And Estimating The Produced Electric Power

Grid connected PV system injects the available electric power from solar irradiance into the grid, so for investors as PV system supplies power to the grid then it works properly. However, the amount of electric power that should be injected to the grid depends on many factors, the most important ones are solar irradiance and operational temperature which is related to the ambient temperature, and for all this the amount of PV power differs from the nominal values (at standard test conditions). In this study the PV power is going to be predicted from equations that connect PV power with climate conditions and then compare the obtained power with the real PV power injected from the system, if the difference is less than a tolerance value then the system is working properly while if it is bigger then there is a problem in the system and it needs maintenance. This way would avoid extra losses in any grid connected PV system, which is reflected on adding extra energy to the grid and avoiding money losses as this energy would be purchased by the local grid.
Performance Analysis and Study of Chatbots

Artificial intelligence, machine learning and deep learning machines are being used as conversational agents. They are used to impersonate a human and provide the user a human-like experience. Conversational software agents that use natural language processing is called a chatbot and it is widely used for interacting with users. It provides appropriate and satisfactory answers to the user. In this paper we have analyzed and compared various chatbots and provided a score to each of them on different parameters. We have asked each chatbot the same questions, and we have evaluated each answer, whether it’s satisfactory or not. This analysis is based on user experience rather than analyzing the software of each chatbot. This paper proves that even though chatbot performance has highly increased compared to the past, there is still quite a lot of room for improvement.
Analysis of an Effective CBIR Image Extraction using P2PN Networks

Content-based image retrieval (CBIR) in peer-to-peer (P-P) framework utilizes visual substance of image like shape, color, & spatial layout, & texture to signify & list the image. The disseminated nature of these methods, whereas nodes have been commonly placed across networks, inherently hinders proficient data recovery. We deliberate the retrieval & searching of data, which will be dispersed on network peers. Our method constructs on unstructured P2P frameworks & utilizes local information. The cause for utilizing unstructured P2P frameworks will be that they execute very small requests on distinctive nodes & might simply accommodate nodes of fluctuating power active research in CBIR is equipped towards improvement ofapproaches for interpreting cataloging, examining, & indexing image database. The response quality is intensely reliant on decision of strategy utilized to produce similarity measures & feature vectors for examination of features; we suggested a method that incorporates benefits of diverse other methods to enhance the accuracy & presentation of retrieval. In this manuscript, we suggested the diverse image properties.
Research on Blended Learning Model of College English Based on Data Mining in Information Age

In the information age, the dissemination of various media resources and information has greatly promoted the implementation of the new college English teaching reform. With the in-depth development of big data technology, the hybrid education model based on big data is playing an increasingly important role in the teaching reform of higher education. As an innovative learning model, blended education is essential to improve students' sense of participation and substitution. How to improve the effectiveness of blended learning and how to conduct blended classroom teaching is an urgent problem for college English teachers to solve. Therefore, it is very important to explore the practice of college English blended learning under the information environment. In this article, we researched and analyzed the college English blended learning model based on data mining in the information age. It combines the advantages of traditional teaching methods and modern information technology to improve the teaching effect of college English and the learning efficiency of students.