Reviewerly/exHarmony huggingface dataset:
Study on Learning Effects and Platform Design Strategies of English Short Videos from the Perspective of Flow Experience

Short video + education is currently on the rise, but video English learning platforms still have the following difficulties. First, whether this learning method is effective and whether it can improve the enthusiasm and efficiency of the learners. Second, such platforms do not have much direct feedback on learning, which is not conducive to the next learning. This article starts with the flow theory. Flow theory represents the best user experience in the learning process. This article will address the following questions: (1) Compared with traditional English learning, will video English learning platforms produce a powerful flow experience? (2) What are the factors that affect the video stream of the video English learning platform? (3) How to apply the elements that stimulate learner flow to the design of video English platform? Research process: (1) The experimental method is used to compare and analyze the flow experience of learners in traditional English learning platform and video English learning platform, as well as their memory status. (2) Investigate the students who have experienced the video English learning platform to understand their feedback. (3) Based on these factors, the concept of video English learning platform is proposed. Conclusion: Compared with traditional learning methods, learning English through video does bring a better learning experience to learners. This article aims to provide some reference for the construction of video English learning platform and build a sustainable development direction.
AN OVER VIEW OF STEGANOGRPHY

Abstract: The paper explore about an overview of steganography, different methods of steganography, its applications and how it is different from cryptography Digital communication has become an essential part of infrastructure. Nowadays, a lot of applications are Internet-based and demand of internet applications requires data to be transmitted in a secure manner. Data transmission in public communication system is not secure because of interception and improper manipulation by eavesdropper. So different techniques like cryptography and steganography  are used to secure the communication. Steganography is the scheme of hiding the existence of secret information in the cover file.
DEEP Q LEARNING AND ITS VARIANTS: A CONCISE REVIEW

Deep Q learning is one of the latest and efficient learning technique which is trending in research community. It combines the features of deep learning and Q learning algorithms. The well-known Q-learning algorithm is recognized for overvalue the action values with respect of some situations. It was not popular, such magnification are usual, whether they impair performance and whether they can be halt in General. Modern DQN algorithm, which include Q-learning (with a deep neural network(DNN)), agonize from significant over valuations in certain games like the Atari 2600.Therefore we understand the logic behind the Double Q-learning algo, it can be induce to deal with vast-scale function approximation. In this paper a certain acceptance to DQN algorithm and its variants has been analyzed and implementations are performed to show that algorithm not only reduces perceive statements, but this also escort to competitively recommended execution on different names.
Persepsi Merek Dalam Pemilihan Air Minum Dalam Kemasan (Studi Pada Mahasiswa Universitas Islam Balitar Blitar)

The brand becomes important for consumers in choosing a product. The wide range of bottled drinking water brands can give consumers an alternative choice of which products to consume. The purpose of this study was to determine the brand's perception for consumers in choosing bottled water products. The research method uses direct observation and questionnaires to students as consumers of bottled water at Balitar Islamic University. The research population was Balitar Islamic University students. The sampling technique uses accidental sampling, namely students who accidentally meet with researchers. The variable used is brand perception. The results showed that brand perception can influence consumers in choosing bottled water products. Aqua product is a brand of bottled drinking water that is in high demand by consumers, while Le Minerals, Cleo, Ades, and Vit are interested after Aqua. Other respondents tend to consume the bottled drinking water brand in turn because they consider all brands the same.
Visual Analysis of Sorting and Classification of Multidimensional Data

An important work of data analysis is to identify correlation structures and classify the data in unlabeled high-dimensional data, which usually requires iterative experiments on clustering parameters, attribute weights and instances. For a large dataset, the number of clusters may be huge, and it is a great challenge to explore in this huge space. People usually have a more comprehensive understanding of some data. For example, they think that data A is better than data B, but they do not know which attributes are important. Therefore, a powerful interactive analysis tool can help people greatly improve the effectiveness of exploratory clustering analysis. This paper provides a visual analysis method for sorting and classifying multivariate data. It can determine the weight of each attribute through user’s interaction, thus, generating sorting, and then complete classification according to sorting results. Through visual display, users can understand the characteristics of data as well as category characteristics intuitively and quickly, and it helps users improve sorting and classification results.
MODULATION METHOD FOR DETERMINING THE BEARING ANGLE USING ORTHOGONAL POLARIZED BEACON SIGNALS

There is investigated the polarization-modulation method of the moving object bearing angle estimation while the polarization modulator as a quarter-wave-length phase plate rotating with frequency Ω is used. The onboard modulator is installed in one-channel UHF circuit of the moving object receiving antenna. Analysis is done for the most general case when the radio beacon illuminates elliptic polarized signals from two space-apart points. Estimation of the bearing angle is done at the receiver output at frequencies multiple they received radio beacon vector signals polarization modulation frequency.
SEMANTIC SURVEY ON AUTOMATIC SPEECH RECOGNITION SYSTEM FOR REGIONAL LANGUAGES

Speech recognition in regional languages has become one of the most important researchable area which employs as a helping mechanism to talk and understand in our own language. The Automatic speech recognition system has played an important role for the people who have hearing and linguistic problem. Speech recognition has become a realistic technology that is now being applied in numerous languages around the world and is being used in applications of real-life human language, such as knowledge recovery. In this paper various parameters including development of Automatic Speech Recognition systems, tools and techniques used to construct an ASR system with their advantages and limitations and research on system of regional languages with ASR have been discussed. The main motive of this work is to present various techniques used for speech extraction, recognition and subtitle generation.
Peningkatan keterampilan sosial siswa melalui model pembelajaran team games tournament dalam pembelajaran IPS kelas V SDN setono no.95

The purpose of this study was to improve social skills in social studies learning through the Team Games Tournament model and implement Team Games Tournament in the social skills of V students in Setono Elementary School no.95. PTK is carried out in two cycles, namely planning, action, observation, and reflection. The research subjects were fifth grade students of SD Negeri Setono No.95, Laweyan, Surakarta in the Academic Year 2018/2019, which totaled 33 students. Data collection techniques using questionnaires, interviews, observation, and documentation. Data analysis techniques are data reduction, data presentation, and conclusion drawing. The validity of the data uses content validity, source triangulation and technical triangulation. the first cycle of communication aspect score 2.7 increased to 3.05 in the second cycle. Interaction aspects score 2.87 to 3.12 in cycle II. The collaboration score is 2.9 to 3.12 in cycle II. The implementation of TGT in improving social skills includes (a) Class Presentations; (B) group; (c) Games; (d) Tournaments; (e) group awards. It can be concluded that the TGT learning model improves students' social skills in social studies subjects in fifth grade students of SD Negeri Setono No.95 Laweyan, Surakarta in the 2018/2019 academic year.
Right restriction or restricting rights? The UK acts to address COVID-19

espanolEl Reino Unido tardo en adoptar medidas para abordar la pandemia de COVID-19. Sin embargo, el 23 de marzo de 2020 y despues de las crecientes tasas de infeccion y mortalidad, el gobierno introdujo las medidas mas restrictivas sobre el movimiento en la historia moderna del Reino Unido. Estas medidas de bloqueo que introdujeron una limitacion radical en el movimiento fuera del hogar se introdujeron a traves de la legislacion estatutaria: regulaciones hechas por el gobierno y no debatidas ni legisladas por el Parlamento. Este articulo considera los problemas que las respuestas legales del Reino Unido para abordar el COVID-19 plantea en terminos de democracia, derechos humanos y estado de derecho. EnglishThe UK was initially slow to adopt measures to address the COVID-19 pandemic. However on 23 March 2020 and following escalating infection and mortality rates, the government introduced the most restrictive measures on movement in modern UK history. These lockdown measures which introduced sweeping limitation on movement outside the home were introduced through statutory legislation: regulations which were made by the government and not debated nor legislated by Parliament. This article considers the issues the UK’s legal responses to address the COVID-19 raises in terms of democracy, human rights and the rule of law
User Identification Based on the Dynamic Features Extracted from Handwriting on Touchscreen Devices

&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt; - &lt;strong&gt;This research presents a methodology for user identification using ten English words written by a finger on smartphone and mini-tablet. This research considers three features, namely Signature Precision (SP), Finger Pressure (FP), and Movement Time (MT) that were extracted from each of ten English words using dynamic time warping. The features are then used individually and combined for the purpose of user identification based on the Euclidean distance and the k-nearest neighbor classifier. We concluded that the best identification accuracy results from the combinations of (SP and FP) features with an average accuracies of 74.55% and 69% were achieved on small smartphone and Mini-tablet respectively using a dataset of 42 users.&lt;/strong&gt;&lt;/p&gt;
Improvised Music for Computer and Augmented Guitar: Performance with Gen~ Plug-ins

This paper focuses on creating custom plug-ins for guitar augmentation with the Gen~ Max/MSP environment. The plug-ins are utilised in performance and compositional settings with electronic or electro-acoustic music. The author has programmed and used such plug-ins in various settings. Such plug-ins offer a unique and flexible aesthetic solution for music performances and studio recording.
ANALYSIS OF AVAILABLE SOFTWARE TOOLS WITH ADVANCED SEARCH ENGINE

This article presents an analysis of modern software tools for search engines, which are currently being developed and have a wide range of capabilities. The principles of work, weaknesses and features of the software tools Google Desktop, Yandex Desktop, and the Rival Desktop are studied. The results of the analysis can be used to develop general functional requirements for a database of electronic documents when creating an advanced search system
Chronological Analysis of the Theme of Early Childhood Parent Education Research

본 연구의 목적은 누리과정 시기별 부모교육 연구 주제의 동향을 분석함으로 2020년 개정 누리과정 시대를 위한 부모교육 연구 주제를 시사하고자 한다. 2008년부터 2019년까지 학술지에 발표된 총106편을 연구대상으로, 연구 시기별, 시기별 연구 대상, 시기별 연구 주제 빈도를 산출하였다. 연구 결과 첫째, 총 106편의 연구가 분석되었으며, 제2시기인 누리과정 도입 시기가 가장 많은 연구가 진행되었으나 제3시기로 가면서 점차 축소되고 있었다. 둘째, 시기별 연구 대상은 부모가 86%로 가장 높은 것으로 분석되었으며, 제3시기로 가면서 점차 다른 대상으로 확대되는 것으로 분석되었다. 셋째, 시기별 연구 주제는 프로그램에 대한 연구 주제가 31%로 가장 높은 것으로 분석되었으며, 제3시기로 가면서 점차 정책이나 제도 관련 주제에 높은 관심이 있는 것으로 분석되었다. 2020년 개정 누리과정의 안정적인 정착을 위한 가정-기관 연계를 위한 부모교육 연구 및 실천 방향을 설정하는데 기초자료를 제공하고자 한다.The purpose of this study is to analyze the trends of parent education research topics by period of the Nuri curriculum, and suggest the topic of parent education research for the era of the Nuri course in 2020. A total of 106 articles published in academic journals from 2008 to 2019 were selected as research subjects. The frequency of research subjects by period, research subject by period, and period was calculated. As a result of the study, first, a total of 106 studies were analyzed, and the second period, the introduction of the Nuri curriculum, was the most studied, but gradually decreased as it went to the third period. Second, The study subjects by period were analyzed to be the highest with 86% of parents, and gradually expanded to other subjects as they went to the third period. Third, the research topic by period was analyzed to be the highest with 31% of the research topics on the program.
Geochemical and isotopic data of Zheduo-Gongga granitic intrusive complex, eastern margin of the Tibetan Plateau: no evidence for middle-lower crustal flow

&amp;lt;p&amp;gt;Geophysical studies have shown that middle-lower crustal flow started from central Tibetan Plateau may exist in the eastern margin of the Tibetan Plateau, which controls the mountain building, crustal thickening and deformation (Schoenbohm et al., 2006; Bai et al., 2010; Bao et al., 2015; Zhu et al., 2017). However, no geological and petrological evidence have been presented. We carried out detailed studies on the geochemical and isotopic compositions of the Mesozoic-Cenozoic Zheduo-Gongga granitic intrusive complex on the eastern margin of the Tibet Plateau. Geochronology studies show that these granitoid rocks are formed during Mesozoic to Cenozoic, including ~220-200 Ma Gongga granodiorite to biotite granite with mafic enclaves, ~40 Ma Zheduo gneissic granite, ~28 Ma Zheduo monzogranite, and ~20-4 Ma Zheduo biotite granite and monzogranite. Two groups of geochemical features are obtained: Group 1 (gnessic granite, granodiorite, monzogranite, and leucogranite) has relatively low K2O, Th/La, La/Yb and Rb/Sr ratios, but high Sr/Y ratio with no Eu negative anomalies; Group 2 (biotite granite) has relatively high K2O, Th/La, La/Yb and Rb/Sr ratios, but low Sr/Y with strong negative Eu anomalies. The Sr-Nd-Hf-O isotopic studies on plagioclase, apatite and zircon show that their sources are primarily the basement of the western margin of Yangtze Craton and Songpan-Ganzi sediments. These features indicate that they have different petrogenesis processes. Group 1 is mainly derived from partial melting of mafic rocks in the lower crust, whereas the Group 2 is primarily derived from partial melting of metasedimentary rocks experiencing fractionation of plagioclase. Magma derived from different sources mixing with each other are observed as well. Therefore, from geochemical aspects, no exotic materials are involved in the formation of granitoid rocks during Mesozoic to present. The flow of crustal material in the middle-lower crust may be not existed. The low velocity and high conductivity layer in the middle-lower crust may represent a regional partial melting zone, which could be related to the upwelling of asthenosphere. Both crustal deformation and upwelling of asthenosphere may contribute to the crustal thicknening and uplift.&amp;lt;/p&amp;gt;
Recognition of Online Handwritten Bangla Characters Using Supervised and Unsupervised Learning Approaches

This paper explores the domain of online handwritten Bangla character recognition by stroke-based approach. The component strokes of a character sample are recognized firstly and then characters are constructed from the recognized strokes. In the current experiment, strokes are recognized by both supervised and unsupervised approaches. To estimate the features, images of all the component strokes are superimposed. A mean structure has been generated from this superimposed image. Euclidian distances between pixel points of a stroke sample and mean stroke structure are considered as features. For unsupervised approach, K-means clustering algorithm has been used whereas six popular classifiers have been used for supervised approach. The proposed feature vector has been evaluated on 10,000-character database and achieved 90.69% and 97.22% stroke recognition accuracy in unsupervised (using K-means clustering) and supervised way (using MLP [multilayer perceptron] classifier). This paper also discusses about merit and demerits of unsupervised and supervised classification approaches.
Optimizing the Classification Assistance through Supply Chain Management for Telematics SMEs in Indonesia using Deep Learning Approach

This study aims to optimize the classification process of providing assistance to Indonesian Telematics Small and Medium Enterprises (SMEs) using a deep learning approach. The data used is the 2016 Economic Census data. The research was conducted comprehensively through the process of comparing performance through several approaches. Deep learning performance shows an optimal accuracy rate of 99.03%, higher than other approaches of the Adaboost and Adaboos-Bagging Ensemble (92.0%), LVQ (93.11%) and Backpropagation (89.1%). The deep learning approach still has shortcomings in terms of tracing attributes that affect the provision of assistance. Unlike the case with an ensemble approach that is able to display priority attributes, and these results are also validated with relevant research results. Research development opportunities can be done through the integration of EXPLAIN and IME models in the deep learning model, making it easier for stakeholders to prioritize attributes that affect the delivery of telematics SMEs. This is expected to encourage the improvement of SMEs competitiveness in facing the challenges of the Industrial Revolution 4.0.
Clinical Relevance of Mobile Phone Interference with Electroretinography in Healthy Dogs: Experimental Study

This study aimed to confirm the effects that the mobile phone has on Electroretinogram (ERG).The ERG responses of three groups of healthy dogs, five in each group, were studied.ERG test was performed consecutively before and after the mobile phone was carried out.For group A, music was played with the sound on; for group B, music was played but the sound off; and for group C, the phone was set on the airplane mode.In the presence of a mobile phone, the amplitudes of a-and b-wave were increased in all groups.The a-and b-wave amplitudes at the flash intensity of 3,000 mcd•s/m 2 were significantly increased in all groups (p < 0.05).Based on the results, it is recommended to conduct ERG test in the absence of a mobile phone for the accurate evaluation of the retinal function.
Adsorption of Heavy Metals from Steel Processing Effluent on Sodium Hydroxide Modified Nigerian Kaolinite

This study investigated the quality level of heavy metal-laden effluent discharge (wastewater) from a steel processing plant in Ilorin, Kwara State, Nigeria and the utilization of NaOH treated Nigerian kaolinite clay as low-cost adsorbent for remediation of the effluent. Physicochemical analysis of the wastewater was carried out and the clay adsorbent was characterized using X-Ray Diffractometry (XRD), Fourier Transform Infrared Spectroscopy (FTIR) and Scanning Electron Microscopy coupled with Electron Dispersive Spectroscopy (SEM/EDS). From the results obtained, XRD reflection peaks of the 63 μm fractions obtained after purification revealed the clay as kaolin. FTIR absorption bands at 3689.64 and 3619.67 cm-1 represent surface -OH stretching of the octahedral and inner -OH between the tetrahedral and octahedral sheets. The EDS spectra of the kaolin following treatment with NaOH showed an increase in silica and alumina content from 15.92% to 24.81% and 13.36% to 15.58% respectively. Physicochemical parameters of the raw effluents were above the recommended limits set by National Environmental Standards and Regulations Enforcement Agency (NESREA) of Nigeria for industrial discharge. The metal ion concentrations were 309.0, 20.50, 40.40 and 10.90 mg/L for Fe2+, Pb2+, Zn2+ and Cr6+ ions respectively. Successive reuse of the treated clay in four adsorption cycles recorded removal efficiency of 99.77, 99.95, 98.91 and 99.91% for Fe2+, Pb2+, Zn2+ and Cr6+ ions respectively and decrease in the physicochemical parameters to permissible level. The Water Quality and Metal Pollution Indices (WQI/MPI) of the effluent after adsorption showed the treated wastewater fulfilled environmental requirement for industrial discharge. The study concluded that NaOH treated clay offered potential for remediation of heavy metal-laden industrial effluents.Keywords: Adsorption, Clay, Effluents, Heavy metals, Steel
Research on Innovative Model Based on Solving Demand Pain Points in Software Development

Software development is an important part of computer technology. only by ensuring the applicability and efficiency of the software can it really improve the efficiency of production and life, and truly inject new power into the economic benefits of the industry. As the theoretical basis of software development, the software development model directly determines the quality of software development.In this paper, starting with information technology as an important tool to improve modern management, it brings out the difficulties and pain points in the analysis of software development needs, and first puts forward the software development innovation model for building a composite core users. It takes core users with compound qualities and capabilities as the main line and guides the entire development process to enable both parties to communicate accurately and solve the pain points of demand communication, function optimization and project control to the greatest extent. Exploring application innovation in the software development model can promote innovation in the software industry.
THE EFFECT OF EMPLOYEES PERCEPTIONS ON INTERNAL CONTROL SYSTEM MECHANISMS TOWARDS EMPLOYEE FRAUD PREVENTION

This study aims to examine the effect of employees perceptions on internal control systems concerning employee fraud prevention.This study utilizes the questionnaire survey as the research instrument. Specifically, the questionnaires had been distributed to 100 employees within informationtechnology companies, namely, Dell, HP and IBM in Malaysia. Using multiple regression analysis, the results show that, employees perceptions towards information and communication systems and control activities as internal control mechanisms are significant towards preventing employee fraud.The results show that the other internal control mechanisms, such as control environment, risk assessment and monitoring are not significant to influencing employees perceptions towards employee fraud prevention. The findings of this study imply that the ability of the management to communicate the policies and guidelines to the employees as well as taking appropriate measures to correct any misfeasance within companies could significantly prevent employee fraud.The implication of these findings is for the management to improve their efficiency in performing their tasks especially in terms of communication and analytical skills.