Reviewerly/exHarmony huggingface dataset:
Live Scan Plebiscite System

Live scan plebiscite system is an electronic system or device employed in any legal system to cast their votes rather than ballot papers and boxes which used earlier in conventional Election system. The traditional system may be a long, time-consuming process and there’s a clear stage of error and malpractices. Later the system was replaced by electronic voting machine. To overcome the disadvantages of the electronic voting system, biometric identifiers are included in the voting system. Our proposed system consists of a Ballot unit with biometric system. This system verifies the biometrics of the candidate with the already stored data in Aadhar or voter identification card. In the proposed system the voter should verify his/her finger print and only if it matches they can vote.The data of the voters are stored in the cloud and can be retrieved from anyplace, so the voter can vote from any place outside the constituency. In the Electronic voting system, there is a simple unit called ballot unit which is used to record the votes. In this electronic voting only, the votes are recorded and counted and there is no separate unit to verify the voter, so anybody can record the votes and any number of times.
Design of A Fault Tolerant Razor Flip Flop Sklansky Adder for Delay Reduction in FIR Filter

Basically, to reduce the failure rate in the system, we need to introduce the fault tolerant system. Because of multiple faults occurred in the system, the system will increase the area. To employ the adder architecture, different algorithms are used in digital signal processing. By introducing the fault tolerant system, the reliability of the proposed system will increase. So in this paper we introduced the design of fault tolerant razor flip flop using SKLANSKY adder for delay reduction in FIR filter. The razor flip flop will increase the energy efficiency of proposed system. This flip flop will store the information by latching the circuit. The SKLANSKY adder is the part of arithmetic logic unit. In proposed system, all bits are summed and followed to the fault tolerance system,. This fault tolerance system will detect the error and give efficient output. Hence compared to existed system, the proposed system gives high performance and accuracy in terms of delay.
Ensuring Viable Solutions in Resource-Constrained Language Teaching Settings: ESL Learners Perceptions about Computer-Assisted Language Testing (CALT)

Purpose: Across the globe, organizations operating in testing services have made optimum use of this technology and seem to have won greater trust and confidence of the test-takers. The purpose of the current study was to explore the perceptions of ESL learners about Computer-Assisted Language Testing (CALT). It further aimed to investigate the challenges and problems learners encounter during the test. Design/Methodology/Approach: The current study had two phases: CALT test and a questionnaire-based survey. In the first phase, the researchers designed and conducted a CALT test to give learners some exposure of CALT. With a quantitative approach, the researchers in the current study designed, piloted and administered a close-ended questionnaire to collect data about learners’ perceptions about CALT. Findings: The results revealed that the learners had positive perceptions about CALT. Some learners encountered challenges while practicing in CALT. Around 80% of the learners thought CALT was adequate in assessing the English language proficiency of the learners and that it was compatible with the existing circumstances. Implications/Originality/Value: In Pakistan, insufficient number of studies seemed to have been done by the researcher. The current study fills the existing gap.
Effects of Functional Strength Training Program on Functional Movement Screen and Y Balance Test in Physical Education Students

PURPOSE To explore the effect of functional training on the FMS score and YBT test of sports college students with high risk of sports injury. METHOD A total of 42 students from 2 classes of the second-year physical education major of Shaoguan University were selected as the research objects, and they were randomly divided into an experimental group (n=21) and a control group (n=21). A 12-week functional training program was added to the physical education class of the experimental group, and the traditional strength training program was used in the control group. FMS test and YBT test were conducted one week before and one week after the 12-week training intervention. The collected data were statistically analyzed by SPSS 21.0 for Window. In this paper, independent-sample t test is used to compare the changes of FMS scores and action completion quality between the two groups before and after training, and paired-samples t test is used to test the scores of FMS and YBT before and after training. RESULT In the first FMS and YBT test, there was no significant difference between the control group and the experimental group. After 12 weeks, the total FMS score of the experimental group participating in functional training was significantly different from that of the control group participating in traditional strength training (p<0.01). The test scores of left and right legs in YBT test were also better than those of the control group. CONCLUSION Experiments have proved that functional training can significantly improve the core strength and body balance and stability of sports college students, and can effectively reduce the incidence of sports injuries. It also provides some reference for the scientific application of functional training in physical education class.
Exception Handling

Exception handling allows programmers to deal with unexpected situations that may occur in programs. As an example, consider opening a file using the StreamReader class in the System.IO namespace. To see what kinds of exceptions this class may throw, you can hover the cursor over the class name in Visual Studio. For instance, you may see the System.IO exceptions FileNotFoundException and DirectoryNotFoundException. If any of those exceptions occur, the program will terminate with an error message.
Developing Research Informed Practice

The goal of this book is to bring together significant international research in Technology Education by focussing on contemporary Ph.D. theses. An international search was conducted through professional associations and higher education institutions, which support postgraduate technology education research, to identify doctoral researchers who have recently completed their theses. Those that were available to develop their thesis into a book chapter constitute the authors in this volume. Of course this is therefore not a representative sample of international research in technology education, but a snapshot of doctoral research from around the world that was concluded in 2019.
Human Made Path-Ways in Google Maps

This paper proposes information regarding Human Made Path-Ways (HMPW) feature in Google maps, which will present more accurate output of traffic [1], road blocks, fastest reaching path-ways, reaching emergency location in an error free path-way for emergency services to the users.
STRUCTURAL CONTROLS ON MINERALIZATIONS AT ABU HARBA AREA, NORTH EASTERN DESERT, EGYPT

Abu Harba area is located in the North Eastern Desert (NED) which mainly covered by metavolcanics, Dokhan volcanics, metagabbro-diorite complex and younger granites.The detailed structural analysis of Abu Harba area indicate that shear stress trending NNE-SSW and NW-SE directions represent nearly the the Gulf of Aqaba and the Gulf of Suez trends.The lineaments in the area are multidirectional orientation with three main trends; ENE-WSW, NE-SW and E-W with less dominant trends represented by N-S, NNW-SSE and NW-SE directions.The mineralizations of secondary uranium (uranophane, kasolite and betafite) in Abu Harba area seem to be lithologically and structurally controlled.The alkali feldspar granites in the area contain highly amounts of silica and alkalis, accessory minerals and iron oxides.On the other hand, the NE-SW lineaments in the study area allowed the hydrothermal solution that bear uranium minerals to infiltrate upwardly parallel faults and joint sets at the peripheral western part of G. Abu Harba alkali feldspar granites.As the faults are suitable places for the flow of hydrothermal solutions bearing mineralization.So, the mineralizations appear to be structurally controlled.
EU Educational Programs Expertize: Some features of network interaction (collaboration and communication)

The aim of the article is to discover some special features of expertize in the processes of EU educational programs realization. Such realization takes place at different levels in the process of network interactions (social communication and collaboration aspects). According to the Lisbon Treaty, European Community is striving for “knowledge economy”. There is some European research in the field of effective educational development by means of communication and coordination between European states. The main mechanism of such coordination is the creation of EU educational programs. The article demonstrates such characteristics of the Erasmus + Programme as the main goals and priorities in the field of education in the European countries in 2021–2027, both common and special for all levels of education (school, professional, adult education and youth work and sports); school education priorities as an example are given. Some special features of social communication and cooperative partnership at school level are looked through.Particular meaning isattached to the role of experts in the realization of Program Erasmus+ goals’. Experts who take part in the results analysis must disseminate the valuable experience received in certain countries among the rest. The aim of such work is to maximize effective development in the field of education. Some examples of experts’ work organization aregiven: TERENA –the Trans-European Research and Education Networking Association and NESET –Network of Experts on Social Dimension in Education and Training, and EURYDICE –the Eurydice Network is the Education Information Network in Europe. Key words: EU educational programs, expertize, educational development, educational priorities, network interaction, cooperative partnership, collaboration, social communication
Hybrid Elliptic Curve Cryptographic Approach for Data Privacy and Authentication in Secured Map Reduce Layer (SMR) for Optimized CPU Utilization

The traditional Big Data model doesn't explicitly state for both structured and unstructured data sensitivity capture. In addition, the concept of privacy and security needs to be incorporated so that the risk of revealing personal data is subsequently mitigated. This paper proposes Secured Map Reduce Layer (SMR) in the big data structure for optimizing CPU utilization through Hybrid PSO/CS (Particle Swarm Optimization/Cuckoo Search) and Elliptic Curve Cryptographic approaches. This proposed method deals with choosing the private key for Authentication using either particle swarm optimization or cuckoo search algorithm and Provide and encryption and decryption through Key-Value Pair (KVP) of Elliptic Curve Cryptographic. HECC is implemented in a privacy layer called the Secured Map Reduce Layer (SMR). The proposed hybrid model combined with the Particle Swarm Optimization (PSO) that endorses the best value of global fitness for identifying the values and Cuckoo Search (CS) which generates the compiled post-process by finding with efficient authentication. This model provides a promise for privacy and protection in the data. It also solves privacy scalability problems such as CPU and memory optimization retains the trade-off of privacy-utility for big data. There is a remarkable improvement in running time and loss of information over current approaches and optimization of CPU and memory usage. Confidentiality is the process of the sender encrypting through a private key and the public key is utilized to decrypt the document. The protection of the entire algorithm suits a challenge compared with the related techniques through execution speed and accuracy.
Game-Based Learning Models for Building Chinese College Students’ Disciplinary English Literacy in Mathematics

This study focuses on designing a game-based learning model for disciplinary English in mathematics, and it is exclusively designed for college students learning English as a second language. Disciplinary literacy is highly related to disciplinary knowledge, and usually they develop side by side for a native speaker. For Chinese college students, their disciplinary English literacy has not developed due to the lack of disciplinary language training in high school and college. This research takes mathematics as an example, analyzing the linguistic features of this discipline, and furthermore designs a game-based and mobile-assisted learning model. Four mobile Apps are used in the model for various learning purposes: Quizlet, Padlet, Edpuzzle and Kahoot. Disciplinary English learning could be monotonous, but the engaging learning model moves students’ attention from disciplinary English learning to solving disciplinary questions. The feedback from our pretest shows that the game-based learning model helps students maintain interests and curiosity in developing disciplinary English literacy.
Controversial Covid-19 Contact-Tracing App in India: Digital Self-Defence, Governance and Surveillance

The Government of India in early April 2020, launched Aarogya Setu, a contact-tracing app aimed at tracking and controlling the spread of Covid-19. Prime Minister of India Narendra Modi in his address to the nation made a request to all the citizens to download the app. It became the world's fastest-growing app, beating Pokemon Go and the most downloaded healthcare mobile app, with more than 100 million installs in just 40 days. While the government initially claimed that the use of Aarogya Setu would be purely voluntary, downloading the app was soon made mandatory for police personnel and employees of the government, in spite of not being backed by law. Further, the order stated that employers would be liable if employees are non-compliant and that could then attract criminal penalty. The Union Home Ministry then issued directives making it mandatory for those in containment zone and those arriving on domestic and international flights. Individuals and digital liberties groups opposed this; petitions were filed in the courts against mandating it. This paper analyses the Aarogya Setu Apps’ ecosystem—design, deployment, privacy policies and frameworks for data protection and concludes that a techno-solutionist approach is misplaced and yield very limited benefits on the ground in controlling the pandemic.
Analysis of Big Data Embedded Mapping Model Oriented to Prediction of Subordinate Relationship

Abstract With the rapid development of information technology, research on big data information has gone deep into all walks of life, and massive amounts of data spew out anytime and anywhere. This paper proposes a domain-subordinate relationship acquisition that combines multiple strategies and word representations. From semi-structured text and unstructured text, the candidate entity upper-lower relationship entity pairs are extracted, and then the obtained candidate upper-lower relationship entity pairs are verified by the support vector machine method to obtain high-quality candidate entity pairs. In the training phase, an exploratory method is designed to search for the optimal solution, and a greedy mechanism is introduced to evaluate the effectiveness of the reinforcement learning agent, so that the virtual node mapping scheme can continuously move towards higher system returns. Evolution has finally achieved the optimal virtual network mapping decision, so that large-scale tasks can be deployed to task processing nodes in the appropriate underlying network to achieve efficient task execution in a big data environment. The experimental results show that the Tard method can effectively avoid model overfitting and improve the task recognition processing ability in the actual application process under the premise of meeting large-scale task requests.
Improvement of the quality of education, approaches, and methods for assessing the quality of educational services

The article reveals the theoretical aspect of the formation of prerequisites for improving the quality of education, approaches, methods, and criteria for assessing the quality of educational services. In preparing the article were used Russian and foreign scientific publications, international ratings of educational organizations. The analysis of the assessment of the quality of educational services in foreign countries allowed systematically considering the process of reforming the educational sphere, taking into account the needs of society and the requirements of state standards, identify urgent methodological problems and formulate proposals that determine the practical significance of the study. The article highlights the patterns of the potential development of students, touches on the issues of assessing the quality of educational services through state accreditation, audit, statistical reporting, and standardization of the quality of educational services. The article reveals methods to evaluate the quality of educational services used in Russia and abroad.
Application of SVD EMD SG Combination Algorithm in TDLAS Rice Seed Respiration Detection

A SVD, EMD, SG combined algorithm was proposed to denoise the signal of TDLAS rice seed respiration detection, for seed respiration was a nonstationary procedure and sensitive to environmental changes. Firstly, the amplitude signal of the second harmonic was denoised by singular value decomposition (SVD) adaptively. Subsequently, the denoising signal was decomposed by Empirical mode decomposition (EMD). The dispersion entropy (DE) of each IMF and the correlation coefficients between each IMF and the denoising signal were calculated as the common coefficient, which was used to determine the effective component. Finally, Savitzky- Golay (SG) filter was used to smooth the signal, the polynomial order and window size of SG filters were obtained by improving particle swarm optimization (PSO) algorithm. A simulated signal and experiment data acquired from the TDLAS system were processed, the denoising results were compared with those from the traditional algorithms, this method showed better performance with the higher signal-to- noise ratio and correlation coefficient. The SVD, EMD, SG combination algorithm was suitable for TDLAS rice seed respiration detection
QoE-aware Efficient Resource Allocation in Cloud Radio Access Network

To solve the problems of the uneven distribution of bandwidth and poor quality of the user experience in an optical and wireless network, a quality of experience (QoE)-aware bandwidth allocation strategy in cloud radio access network is proposed. A software-defined optical domain and wireless domain resource trading platform was established to interact with the optical domain and wireless domain resource allocation and divide into two stages by Stackelberg game. Furthermore, the priced-based strategy addresses fronthaul bandwidth allocation between the central office and the mobile network operators, and wireless bandwidth allocation between mobile network operators and smart mobile devices. Considering the length of the playback buffer, the index of rebuffering is introduced to guarantee the quality of the experience. Finally, according to the Nash equilibrium, a two-stage optimal strategy is achieved in the optical domain and wireless domain collaboration to ensure the quality of experience. The simulation results show that the proposed scheme rationally allocates the fronthaul and wireless bandwidth and effectively improves bandwidth utilization and the quality of experience.
Optimizing image quality

Better image quality can enhance the diagnostic utility of a study. There are several principles behind why images can be suboptimal, and patterns that can be used to resolve these issues. This chapter explains the major reasons for poor image quality. For each, it discusses how to prevent, or identify and then resolve the problem.
Walking and Talking: Recommendations for Doing Mobile Interviews with Older Adults

Mobile methods, including walking interviews, have rarely been used in research with older adults. We compare and contrast two studies that engaged older adults in walking interviews conducted by the coauthors. The first study examined the meaning of food access with residents of publicly-subsidized housing, and the second involved Black Americans in a study of brain health and gentrification. Older adults, including those with physical and mild cognitive impairment, can participate in walking interviews. Key decisions and advice for researchers interested in using mobile methods with this population, including participant safety, comfort abilities, and technology use, are provided.
Penerapan Metode Contextual Teaching And Learning (CTL) Berbantuan Media Kotak Misteri (KOMIS) Untuk Meningkatkan Minat Belajar Siswa Kelas 2 SDN Mergosono 1 Malang

This study aims to increase students' interest in learning Contextual Teaching and Learning (CTL) assisted by mystery box-based learning media (komis) in grade 2 students of SDN Mergosono 1 Malang. The type of research used is classroom action research. The subjects of the research were 22 students in class II SD Negeri 1 Mergosono Malang. The research was carried out in two cycles, in each cycle planning, action, observation and reflection were carried out. Data collection techniques in this study used student interest questionnaire sheets, student response questionnaire sheets, CTL learning implementation observation sheets, and student learning interest observation sheets. The score in the first cycle showed that 4 students had interests below 70% of the total 22 students, so that the average interest of grade 2 students was 81.81%. In the second cycle, it showed 1 student who had an interest below 70% of the total 22 students, so that the average interest of grade 2 students was 95.4. From the data obtained, the application of the Contextual Teaching and Learning (CTL) method assisted by mystery box-based learning media (komis) can increase the learning interest of grade 2 students at SD Negeri 1 Mergosono Malang.
Research on the Configuration Management of Complex Equipment Based on Identity Resolution

Identity resolution system is the primary technical research problem to set up the data collection capability of industrial internet, and the configuration resolution of complex assets is an application difficulty. To implement the particular requirements of complex equipment configuration management, an industry-oriented identity resolution architecture and the configuration resolution service were designed. In accordance with the technical information management of high-speed train, corresponding handle structures was proposed to describe the configuration structure and related components information of EMU (Electric Multiple Unit). A distributed processing algorithm for configuration resolution and the hit-ratio evaluation method of handle service sites was proposed. The performance, stability, and resolution consistency of the handle system in this paper are proved by experiments, which is also great significant to the intelligent identity applications in other industries.