Reviewerly/exHarmony huggingface dataset:
Engaging EFL learners of English writing with prewriting activities assisted technology

Using Assisted Technology in Prewriting activities to teach English writing to EFL students at the university level is not a new venture in TEFL. However, this learning stage still rarely applies in Indonesia. To fill this gap, we implemented Prewriting Activities Assisted Technology to engage EFL learners in the prewriting activities using assisted technology. This article purposely describes our experience using Prewriting Activities Assisted Technology as a teaching innovation with EFL learners of 20-23. In this project, students employed Prewriting Activities Assisted Technology as their endeavors to compose EFL writing. In this matter, they utilized different prewriting activities with technological assistance. The prewriting activities were readings, watching movies, discussions, brainstorming, webbing, and outlining. The Prewriting Activities Assisted Technology project is a practical suggestion for EFL writing teachers to engage EFL learners in significant project-based language learning.
African growth: A new model for a post-COVID-19 world

The coronavirus pandemic has triggered a new economic paradigm that is as unprecedented and radical as the Great Depression. Although the economic consequences of this global crisis are still unfolding, its impact on African economies is already alarming.
Gender and Age Differences in Reading Motivation and Self-Regulated Learning among Secondary School Students with Learning Disabilities in Oyo State, Nigeria

This descriptive research provided insight into gender and age differences with respect to reading motivation and self-regulated learning among secondary school students with learning disabilities. The multi-stage sampling procedure was adopted. The sample was ninety-seven students with learning disabilities, from thirteen secondary schools purposively selected from two senatorial districts in Oyo State, Nigeria. The intrinsic reading motivation (α = 0.86), extrinsic reading motivation (α = 0.93) and self-regulated learning (α = 0.76) scales were used for data collection. The data was analysed using the t-test and Pearson’s product moment correlation. No significant differences were found between intrinsic, extrinsic reading motivations and self-regulated learning strategies among male and female students with learning disabilities. Females got highest mean scores in extrinsic reading motivation while younger students scored higher than the older ones in both reading motivation and self-regulated learning strategies. The implications of the findings as well as recommendations were suggested.
Training Graph Convolutional Neural Network Against Label Noise

For node classification task, graph convolutional neural network (GCN) has achieved competitive performance on graph-structured data. Under semi-supervised setting, only a small portion of nodes are labeled for training. Many existing works have a perfect assumption that all the class labels used for training are completely accurate. However, noises are inevitably involved in the process of labeling, which can cause a degraded model performance. Yet few works focus on how to deal with noisy labels on graph data. Techniques against label noise on image domain can't be applied to graph data directly. In this paper, we propose a framework, called super-nodes assisted label correction and dynamic graph adjustment based GCN (SuLD-GCN), which aims to reduce the negative impact of noise via label correction to obtain a higher-quality labels. We introduce the super-node to construct a new graph, which contributes to connecting nodes with the same class label more strongly. During iterations, we select nodes with high predicted confidence to correct their labels. Simultaneously, we adjust the graph structure dynamically. Experiments on public datasets demonstrate the effectiveness of our proposed method, yielding a significant improvement over state-of-art baselines.
IDENTIFICATION OF HOAX BASED ON TEXT MINING USING K-NEAREST NEIGHBOR METHOD

At this time, information is very easy to obtain, information can spread quickly to all corners of society. However, the information that spreaded are not all true, there is false information or what is commonly called hoax which of course is also easily spread by the public, the public only thinks that all the information circulating on the internet is true. From every news published on the internet, it cannot be known directly that the news is a hoax or valid one. The test uses 740 random contents / issue data that has been verified by an institution, where 370 contents are hoaxes and 370 contents are valid. The test uses the K-Nearest Neighbor algorithm, before the classification process is performed, the preprocessing stage is performed first and uses the TF-IDF equation to get the weight of each feature, then classified using K-Nearest Neighbor and the test results is evaluated using 10-Fold Cross Validation. The test uses the k value with a value of 2 to 10. The optimal use of the k value in the implementation is obtained at a value of k = 4 with precision, recall, and F-Measure results of 0.764856, 0.757583, and 0.751944 respectively and an accuracy of 75.4%
Web service for data aggregation in eSports domain

This paper describes our research work in regards building a data aggregation web service for eSports domain,
Project Sasha

This paper presents an application that aids in the early detection and diagnosis of breast cancer in women, efficiently and accurately. Furthermore, the application eliminates the need for direct contact between patient and doctor by providing a virtual platform in the form of a GUI wherein the patient can upload scanned copies of test results as prescribed by an oncologist. The digitization of the registration process is done via face recognition using Haar Cascade. The application in this paper provides a platform for the doctors to- write a new prescription, view appointments, access reports, view the history of every patient; for patients to- book an appointment, view their prescriptions, access reports and review previous appointments; for pharmacists to view the prescription of a particular patient. The link between patients, doctors and pharmacists is highlighted in the proposed application. The latest object detection algorithm YOLOv3 is used for early detection of breast cancer after the image is annotated. After the training and testing, the model gives an accuracy between (75- 80)%.
An Early Warning Mobile Health Screening and Risk Scoring App for Preventing In-Hospital Transmission of COVID-19 by Health Care Workers: Development and Feasibility Study (Preprint)

<sec> <title>BACKGROUND</title> Hospitals have been identified as very high-risk places for COVID-19 transmission between health care workers and patients who do not have COVID-19. Health care workers are the most at-risk population to contract and transmit the infection, especially to already vulnerable patients who do not have COVID-19. In low-income countries, routine testing is not feasible due to the high cost of testing; therefore, presenting the risk of uncontrolled transmission within non–COVID-19 treatment wards. This challenge necessitated the development of an affordable intermediary screening tool that would enable early identification of potentially infected health care workers and for early real time DNA–polymerase chain reaction testing prioritization. This would limit the contact time of potentially infected health care workers with the patients but also enable efficient use of the limited testing kits. </sec> <sec> <title>OBJECTIVE</title> The aims of this study are to describe an early warning in-hospital mobile risk analysis app for screening COVID-19 and to determine the feasibility and user-friendliness of the app among health care workers. </sec> <sec> <title>METHODS</title> The primary result of this research project was the development of a mobile-based daily early warning system for in-hospital transmission of COVID-19. Overall, the Early Warning System for In-Hospital Transmission of COVID-19 (EWAS) mobile app was found to be feasible, with over 69% of the health care workers having logged more than 67% of the required times. Over 93% of the participants reported that the tool was easy to use. </sec> <sec> <title>RESULTS</title> The primary result of this research project was the development of a mobile-based daily early warning system for in-hospital transmission of COVID-19. Overall, the Early Warning System for In-Hospital Transmission of COVID-19 (EWAS) mobile app was found to be feasible, with 69% of the health care workers (69/100) having logged more than 67% of the required times. Of the 100 participants, 93 reported that the tool was easy to use. </sec> <sec> <title>CONCLUSIONS</title> The EWAS mobile app is a feasible and user-friendly daily risk scoring tool for preventing in-hospital transmission of COVID-19. Although it was not designed to be a diagnostic tool but rather a screening tool, there is a need to evaluate its sensitivity in predicting persons likely to have contracted COVID-19. </sec>
The Legal Issues in the Introduction of Autonomous Vehicles in India

The present article shall attempt to discuss the nuances of autonomous technology and its direct correlation with the existing legal infrastructure in India as well as the future prospects of the same. Before the legal issues are addressed in this paper, it is incumbent to briefly establish the premise, the purpose and the technology involved in the development of artificial intelligence operated vehicles. The communication system and its interaction with the other components of the vehicle are also addressed. The legal issues considered here are limited to the admissibility of autonomous vehicles under the Motor Vehicles Act, 1988, the concerns of erosion of data privacy, the moral dilemma and decision-making ability in moral situations and the nascent context of cyber-hacking. Their imminent introduction in the near future requires an immediate stabilization of legal principles and provisions to suit vulnerabilities and strengths of such an advanced technology and the shortcomings of the present legislation highlighted.
Mechanism for Big Data Security Related to GMPLS/MPLS Networks

The requirement for gainful ways to deal with the preparing of Big Data, set apart by huge amounts, various structures and quick rates, is basic and has as of late drawn the premium of many investigation associations. This is especially the situation as ordinary methodologies and capacities for information examination have demonstrated to be deficient around there. As highlighted in this article, another factor that is comparatively essential during the formation of Big Data is its security. Consequently, we suggest the treatment of big information at two separate speeds. The principal level portrays the information depending upon its development and whether security is required. In assessment, in light of length, arrangement, and speed factors, the resulting level examinations and cycles results. As the consequences of the reproduction uncovered that the use of characterization contribution as of the center MPLS/GMPLS switching network end up being basic in limiting information evaluation and handling time.
[RETRACTED] Novum Drone Review- How Does it Work, Price, Scam or Legit? v1

[RETRACTED] This is why the Novum Drone could be improved, with relative resistance and very little autonomy. Speaking of the battery, it is this which ensures a greater or lesser autonomy. It has now been two good years that Novum Droneare among the most sold electronic objects in the USA but also throughout the world. They meet this need to be able to take the place of the bird and to be able to discover new places. Using this device it really feels like you are in the air and entering a new world. It is also an object that attracts the curiosity of people who see it flying. You will thus be able to fly over houses, explore places inaccessible on foot, in short have new sensations. So how does it work? Well, you have to know several things. First of all, it's an object that flies through four propellers. This is why the drone is also called a quadcopter which literally means four propellers. Note that some models may have more propellers. To make these propellers work, you need a motor and it needs to be powerful enough to allow the whole drone to fly. This motor is powered by a battery which provides energy to the assembly. Consideration should also be given to the materials used to build the drone. Solid materials must be used so that the machine can withstand wind, rain and shocks. However, the drone must not be too heavy at the risk of not being able to fly. Elevation is actually the same setting as range, because it is cumulative with horizontal distance. So, when you choose a drone, you need to know if you plan to fly it high up or especially horizontally, that is to say over a length. Note that some Novum Droneare dedicated to drone racing, which are more and more popular. More and more professionals are using drones. And this is particularly the case in the audiovisual world. Whether it is for capturing film shots, making reports and more, a drone is very practical. If you try to go too high, you may lose your drone's signal and have some issues. The speed of the drone is expressed in km / h as for a car or any other vehicle. Welcome to Novum Drone this website will allow you to know everything about the drone. There you will find a buying guide, reviews and tests. But also advice on how to use your drone properly. SPACILITY LIGHTWEIGHT, FREE FLYING PACK: At less than 249g, it weighs as much as an apple and fits in the palm of your hand. Compact and practical, Novum Drone is your perfect travel companion, transforming the way you capture your favorite memories. Read for more info visit official website click here :- https://ipsnews.net/business/2021/12/04/novum-drone-reviews-performance-features-price-scam/ https://paper.li/Novum-Drone https://acrochat.com/read-blog/81907 https://coldnetwork.net/threads/novum-drone-reviews.56428/ https://sites.google.com/view/novum-drone/home https://writeupcafe.com/novum-drone-review-how-does-it-work-price-scam-or-legit/ https://bigkis.com/read-blog/38605
What Will Drive Future Hospitals?

Keywords future hospitals, hybrid hospitals, virtual care, patient expectations, COVID-19, business and finance
Technological and Disruptive Innovations in a Nation’s Industrialization and Leadership Development

The turn of this new century has been witnessing the effort of various leading developed and developing countries in their attempt to materialize next round of industrialization by emphasizing on innovations. To potentially provide guidance to such national efforts, this paper explores the relationship between technological innovation and industrialization and the importance of disruptive innovation in the development of a nation’s international leadership. By employing the rigor of game theory, this work first looks at key conditions under which an established market invites competition and innovation. On top of such generally true results, it is consequently shown that technological innovation is a driving force behind industrialization and that disruptive innovation can assist a nation to become an international leader. Other than providing policy recommendations, this paper concludes with open problems for future research.
Hubungan Kualitas Informasi Visual Statis Pada Akun Instagram @berita_lamongan_ Dengan Minat Baca Follower

This study discusses an effective communication process so that interaction and feedback are obtained from the communicant. This study aims to identify the relationship or influence of the quality of static visual information on the @berita_lamongan_ account on followers' reading interest. This research method is quantitative with explanatory survey methods and questionnaire research instruments as an alternative to data collection, so that data from respondents is collected and then analyzed. The object of the research is the Instagram account @berita_lamongan_. The research location is in Lamongan district with a population taken from followers of the @berita_lamongan_ account totaling 57.4 thousand followers. The sampling technique based on the Slovin formula obtained a sample of 100 respondents. To determine the relationship between these two variables, the researcher used the Chi-Square Test. While the questionnaire to process the test data used SPSS for Windows version 20. The grand theory used as the basis for the analysis was the Stimulus Organism Response from McQuail. a significant value of 0.000 from the Chi Square Test. So that Ho is rejected and Ha is accepted
Hurdle Dodging Robot Using Lidar with a Built-On Gas Detection System

Motor robots are the machines which helps humanity to move forward where it can do some works that we humans can’t do, for example it can reach places regardless of dangerous or poisonous environment. There are various sensors available in the market to scan and detect objects but in recent times, LIDAR is proven to be the best in terms of its characteristics in a closed environment, but other usual standard sensors have their restraint in phase of distance recognition and clarification of complexity. In this research paper we are making an autonomous motor bot which is equipped with a 2D 360° LIDAR sensor with Raspberry Pi 4 to avoid obstacles. The main purpose to avoid the obstacle here is to obtain data from hazardous surroundings. So the idea was, what if a robot in a closed environment can reach a final point by avoiding the obstacles without any pre marked line to reach the final marked point, where the real time mapping of the bot would be displayed in the system.
Development Of Academic Optimism In The Style Of A Modern School

This article is devoted to the consideration of the concept of academic optimism and its development at various levels of modern school. Based on a theoretical study of the concept of academic optimism, an understanding of the phenomenon of academic optimism is proposed as an integral characteristic of the modern educational environment, which forms a flexible-thinking and therefore successful student. The structure of the phenomenon of academic optimism highlights collective efficiency, trust, as well as academic emphasis, the key role in the implementation of which is played by pedagogical optimism, being the personal and professional quality of an individual teacher. A comparison of pedagogical optimism and academic optimism made it possible to identify common features of phenomena and their characteristics manifested at different levels of school structure, which can be used in future to work out the technology for the development of academic optimism in the professional learning community of a modern school.
Mining for Building Energy-consumption Patterns by using Intelligent Clustering

We present a method for the computational problem of mining for the energy-consumption patterns of apartments in residential buildings. We show a consistent scheme for how to apply data mining in order to discover partitions that constitute electrical consumption. The method is geared to stabilize robust learning and prediction by combining cluster analysis of time-series data and iterative gradient boosting from auto-regression in learning. Together with data preparation, such as the analysis of time-series patterns and well-formulated features, clustering methods can be used to specify group-based energy consumption data. Hence, we propose to use k-Means and agglomerative clustering, which adapt to the time-series data for grouped apartments. Then, robust gradient boosting is implemented to predict the levels of energy consumption for each group. Finally, prediction of energy consumption for the whole building is estimated. Our experimental evaluation demonstrates that the method allows significantly fewer errors than previous techniques.
An improved electrical anomaly detection algorithm based on density peak clustering

This Through abnormal detection of electrical parameters of production equipment and pollution treatment equipment of pollution source enterprises, we can master the operation of equipment and pollutant discharge. Therefore, how to detect abnormal data in electricity data is a crucial problem. In this paper, an electrical anomaly detection algorithm KO-DPC based on density peak clustering (DPC) is proposed. Based on the two basic Settings of DPC algorithm, KO-DPC algorithm is optimized and improved. First, this study redefines the measure of truncation distance and local density by introducing the concept of the KNN algorithm, which eliminates the influence of subjective selection of the truncation distance on the detection results, and makes the new local density more consistent with the real distribution of data points. Then, in order to improve the accuracy of outlier detection by fully considering the local characteristics of the samples, the concept of the LOF algorithm is introduced to further improve the outlier detection. The results of the experiments on electricity datasets, and comparisons with the DPC, and DPC-KNN algorithms, show that the performance of the KO-DPC algorithm is clearly better than those of the DPC and DPC-KNN algorithms.
Flooding

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 58, Issue 5 p. 23439A-23439B Policy and Practice Flooding First published: 04 July 2021 https://doi.org/10.1111/j.1467-6346.2021.10060.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume58, Issue5July 2021Pages 23439A-23439B RelatedInformation
Registration of copyright works in Nigeria from the prism of TV XTRA Productions Ltd v National University Commission and Zain Nigeria

The interpretative role of the Federal High Court in shaping jurisprudence is crucial to the development of intellectual property (IP) law in Nigeria, considering the specialized and territorial nature of IP. Copyright in comparison to other aspects of IP has witnessed the most development due to the boom in the entertainment industry, nevertheless the Copyright Act is gradually becoming obsolete. It is expected that the judiciary can close the gap through their interpretative roles. The case of TV XTRA PRODUCTIONS LTD v NATIONAL UNIVERSITY COMMISSION AND ZAIN NIGERIA provided the opportunity to adjudicate on the basic copyright principle of eligibility. The main query is whether a work requires registration for copyright protection. This chapter is of the perception that the judiciary is failing to live up to expectation regarding copyright matters. There is no provision on registration in the Copyright Act of Nigeria. Originality and fixation are the determining factors for copyright protection. Thus, it has become crucial to explore the position of registration of copyright works in Nigeria. Indeed, there is a need for the enhancement of knowledge of IP across board, specifically copyright in this chapter for quality adjudication and development of IP law in Nigeria.