Reviewerly/exHarmony huggingface dataset:
The Implementation of Cooperative Learning of Two Stay Two Stray Type through Students’ Reading

This study aims to determine the effect of the cooperative learning model type Two Stay Two Stray on the reading skills of third-grade students at SD Zainuddin, Waru, Sidoarjo. This study was conducted by using a quantitative approach of Pre-Experimental Design research with a One-Group Post-test-Pre-test design. In this design, there is one group, namely the Experiment class. The results of this study indicated that there is an effect of the cooperative learning model type Two Stay Two Stray on the reading skills of third-grade students at SD Zainuddin, Waru, Sidoarjo. It is evident that the results of the data calculations that have been carried out obtained a significant value of .000 or (.000 &lt; 0.05), or obtained t-count = 43.071 which was then compared with t-table = 1.745, with a significant level of 5% it is known that t-count is greater 43,071 of t-table = 1,745 (t-count &gt; t-table ). Thus, there is an effect of the cooperative learning model type Two Stay Two Stray on the reading skills of third-grade students at SD Zainuddin, Waru, Sidoarjo. This is evident from the results of the calculation of the researcher's hypothesis test with the one-sample t-test. These results are known that Ha is accepted and H0 is rejected with a significant value obtained .000 or (.000 &lt; 0.05).
A Comprehensive Study on Intelligence System for Automatize Event Tracker System Using Learning Method

In image processing, the radical scheme is required to propose a model for extracting the required content from an image. It plays a critical position to offer significant facts and needs methods in various automation arenas. By keeping the way of a parting textual content from images has proposed via following the sparse matrix illustration, grouping text components are based on heuristic rules and clustered into sentence generation. This paper directs a study on image analysis that inspects visual items as objects and different text patterns. Logistic Regression, Linear Discriminant Analysis naïve Bayes Algorithm are used to predict the image forms. This proposed work promotes the learning algorithm called Learning Vector Quantization Prediction Algorithm (LVQ Predict) is used to analysis the parts of the image. The features are extracted and classifies into printed and non-printed texts. Further, these texts are normalized and documented.
Effect of Initial PH And Applied Current Density On Removal Efficiency of Cod of Coking Wastewater From Gasifier Plants

The production of a coal gas through a gasification process produces a large volume of waste water that contains high amount of Chemical Oxygen Demand (COD), Total Suspended Solids (TSS) and Total Dissolve Solids (TDS), Phenol, and Oil and Grease (O&G) contents. This study comprises a possibility of Electro-Coagulation (EC) process to treat coking waste water. The effect of initial pH of waste water and applied current density on EC process for the removal of COD were investigated using one factor at a time method. A quadratic regression models with estimated coefficients were developed to describe the pollutant removal. The experimental results shows that EC could effectively reduce COD by 85 %, at optimum condition of pH 7.01, and applied current density 30 mA/cm^2. The experimental observations were in reasonable agreement with the modelled and previously done work
Cryptography with OTP for E-commerce Application

The Safety of one-time passwords (secret key) (OTP) is indispensable because the majority of the web based business exchanges are accomplished with the helps of this component. OTP is utilized to counter reiteration assault/listening stealthily. Replay assault or spying is one kind of assaults on organize associated registering condition or disconnected processing setting. Rivest Shamir and Adleman (RSA) wishes to achieve 112 bits safety levels, while Cryptography Elliptic Curve (ECC) wants 224-255 bit key size. The other issues with the majority of present execution in security model is capacity of mystery key. Cryptographical key are typically solid in en-verified ways that may be speculated, social-designed or got through animal power assaults. This turns into a frail connection & lead towards respectability problems with touchy data in the very security models. To beat the over downside, biometric to joined with the cryptography for creating solid security models. This paper proposes an expanded security models of OTP framework utilizing with unique finger impression biometric. This models conjointly proposes higher security with the lesser key sizes than various winning open key crypto-models. The cryptographical key are not expected to retain because these key are created and once required.
Alternative Yoga Exercise on Fasting Blood Glucose and Cholesterol Levels among Patients with Type 2 Diabetes Mellitus

Diabetes mellitus is a public health problem. The study used systematic literature reviews (SLR), which is a synthesis of a systematic literature study that is clear, comprehensive, by identifying, analyzing, evaluating through the collection of existing data with an explicit search method and involving the processes that have been critical in the selection of studies. The results found that 20 relevant articles have been reviewed and showed most of the evidence was significant on reducing fasting blood sugar and cholesterol levels. One study was not substantial on lowering cholesterol levels. Those 19 review studies showed that the study was a good category with an effect size value was 1.99 (robust) and a good JBI value. This was due to giving yoga interventions or the methods used during the training process is appropriate following the standard of intervention. Providing the yoga practice should involve movement and concentration. If the movement is correct, even if the intervention is given for only a month, it will show better results. The conclusion of 20 studies systematic literature reviewing yoga interventions has a significant value on reducing fasting blood glucose and cholesterol levels. Yoga practice involves movement and concentration. If the activities are suitable, it shows effective results
AUGMENTED REALITY VS. VIRTUAL REALITY IN EDUCATION

In education, new technologies are used to improve the process of learning. Mobile has been one these technologies offerings educators a way to communicate with the students by using suitable applications for learning. Rapid grow of technological innovations and adoption of smartphones by society, make access to Virtual Reality (VR) and Augmented Reality (AR) possible of anyone.Educational institutions will benefit from better accessibility to reality technologies; Here are three companies using AR and VR to enhance education: Facebook is working hard to bring virtual reality (VR) to wider audiences; Apple’s ARKit framework allows millions of iPhone and iPad owners to experience augmented reality (AR); Microsoft is using mixed reality (MR) to combine virtual objects with the real world.VR make it possible to teach in virtual environments that are impossible to visualize in physical classrooms, like accessing into virtual laboratories, visualizing machines, industrial plants, or even medical scenarios.The attractiveness of AR as a teaching tool is its ability to deliver a blended learning experience created from the mixing of the virtual and real environments or materials in the classroom. This allows students to learn in a variety of ways to mix didactic, experiential and kinaesthetic learning.The AR/VR technology has the potential of being the biggest breakthrough in the education system in the 21st century. It would help students take a step away from memorization and exams and allow them to learn through active participation and experience. It’s important that the educational institutions study aspects of AR and VR technology to find the right tools to make the difference in the learning experience of students.This paper presents an overview of basic aspects of Augmented and Virtual Reality. It describes the main fields in which Augmented and Virtual Reality is applied nowadays and important AR and VR devices. Some difference and similarities of Augmented Reality and Virtual Reality will be discussed and this paper will provide an overview of them.
Special Relativity using Perplex Numbers

Imaginary numbers are not merely a part of mathematical jugglery they are of relevance in the real world too. Mathematical models involving real-time and imaginary space are efficient in predicting observable effects and beyond. This research paper aims to reformulate the special relativity using perplex numbers or split complex numbers also known as hyperbolic complex numbers which mankind has been familiar with even before we knew about relativity. Hypotheses that time is real and space is imaginary offers a new look at the space-time fabric. The invariant quantities in special relativity are of hyperbolic formats. This eventually leads to hyperbolic geometry that supports the basic structure of equations. Therefore, the use of hyperbolic complex numbers or perplex numbers handles all perspectives of special relativity with elegance and offers a great degree of simplicity so that even with a meager knowledge of mathematics allows the reader to handle special relativity. The findings support the hypothesis that time is real and space is imaginary in perplexes number representation. A few applications of special relativity in the realm of Quantum Mechanics and Nuclear Physics viz Berkley Collider, Compton’s Effect, Quantum Doppler Effect have been successfully explored.
LESI Design Study — USA

More than ever, the way a product looks matters. A user’s experience with a product — whether the product is a physical item or virtual item such as a website — will strongly influence whether they decide to buy the product. At the heart of this experience is the design of the product, and particularly its ornamental appearance. As Randall Smith has stated, “How you feel, and therefore if whether you’re going to engage and buy, is directly influenced by the design of a website, a package or a business card.” The present U.S. design patent system initially drew inspiration from changes in British copyright law. However, there was a significant difference between the then-existing British copyright system and the proposed U.S. design patent system: the U.S. system would require pre-grant examinations of design patent applications rather than operating simply as a registration system.
Tools for Development and Resources

The free and easy-to-use website www.regex101.com serves as a goto sandbox when you are trying different approaches and need immediate feedback. See Figures 12-1 and 12-2. It is not specifically tuned to R, but the great majority of R regex configurations will be properly evaluated. To the right of the screen, explanatory comments are provided. Although it has far fewer features than Regex Buddy (discussed later), for many people, it will be sufficient. Since doing is closely tied to learning, spending a few hours with this tool on the front end will accelerate your learning curve.
Method of verification the correctness of the air object recognition process

The basis of the developed procedure for verification the correctness of the process of recognition of airborne objects is the method of standards. The role of the standards is fulfilled by the introduced correctness constraints. During the control, the syntactic and semantic correctness of the recognition process are verified. The method differs from the known ones in the following. When verification certain types of semantic inaccuracy of descriptions of classes of alphabets, the concept of medium risk is used. The essence of the developed method for verification the differences in the descriptions of alphabet classes is as follows. The medium risk values are calculated when each pair of alphabet classes is recognized and the implementation of the restrictions introduced is verified. Using the method allows at the stage of debugging formalized knowledge to identify inaccuracies associated with the indistinguishability of alphabet classes and use the numerical value of the medium risk to identify other types of semantic inaccuracies. The essence of the developed method for verification the structural redundancy of alphabet class descriptions is as follows. The medium risk values are calculated during class recognition using various "fragments" of its description. The restriction introduced makes it possible to reveal indistinguishable “fragments” of class descriptions. Removing redundant descriptions reduces the time it takes to find solutions for classes of objects. The developed method for identifying the characteristic redundancy of class descriptions is also based on the procedure of calculating the medium risk value, adopted as a characteristic of the a priori information content of the signs. The method allows at the stage of filling the knowledge base to automate the identification and elimination of non-informative features in class descriptions, reduces the labor required to verify redundancy. At the stage of directly solving the recognition problem, the method allows to reduce computational costs by ranking the used features by their a priori information content and the corresponding organization of the search process for the decision on recognition classes of air objects.
The Effectiveness of Academic Library Services to The Higher Learning Institution Students / Wan Nor Haliza Wan Mokhtar and Nur Sofea Adila Mohd Yusof

The environment under which libraries operate is changing progressively. The librarian always showing their best in promoting the library’s services. There are so many activities that have been done to attract more users to the library. Such as workshop training, public relations activity, Open Public Access Catalogue (OPAC) and so on. Unfortunately, they still lack their performance because they need to compete with the new technology where the range of services outside the physical library is expanding. The purpose of this paper is to investigate the effectiveness of academic library services to the higher learning institution students. The logical limitation of this study is the population. Due to the time and budget limitation, researcher will just be able to study in the context of PTAR academic’s library only. The data are collected through a survey by using structured questionnaires which has been disseminated to 250 students. The major findings of this study conducted on the effectiveness of academic library services a study of Tun Abdul Razak Library (PTAR), UiTM Puncak Perdana revealed that library users were satisfied with the following library services such as lending services, renewal of library materials, longer hours of internet services in the library, suitable opening hours, downloading and printing of online resource services
Two-Level Breast Cancer Staging Diagnosis

According to the World Health Organization, the majority of women are mainly affected by breast cancer, which yearly impacts 2.1 million women in the world. Also, breast cancer is known as the cause of the most significant number of cancer-related deaths among women, where, in 2018, approximately 15% of all women cancer deaths are caused by breast cancer. Screening and early diagnosing are two main strategies to reduce the mortality rate and the cost of treatment by detecting the disease in early stages. The most common screening tool is mammography, which has reduced breast cancer mortality by approximately 20%. Mammography is recommended regularly for women aged above 40 years old. However, two different radiologists should analyse the mammogram image to achieve high accuracy of correct detection and diagnosis of breast cancer. Computer-aided detection/diagnosis (CAD) received extensive research on mammography to support specialist decisions. CAD comprises different phases, including region of interest segmentation, feature extraction and classification. To solve the problem of breast cancer classification, a wide range of machine learning methods has been proposed. Recently, deep learning approaches have gained considerable attention as they have proven to enhance detection results. However, most of the studies focused on differentiating between normal and abnormal cases, or between malignant and benign cases. To the best of one's knowledge, the detection of breast cancer stage/severity has not yet been addressed. Our research aims at providing a two-level algorithm for detecting and diagnosing breast cancer in mammogram images. The first level is about classifying abnormal breast tissues into benign or malignant using a support vector machine (SVM) and K-nearest neighbors (KNN) classifiers. Before classification, images are preprocessed to segment the breast tissue and converted into a vector of extracted features. It has been shown in the literature that breast cancer classification can be enhanced when features are extracted using multi-resolution analysis such as wavelet, curvelet and contourlet transforms. The choice of using SVM and KNN for the initial level classification is due to their low complexity and promising results, especially when fed with pertinent features such as the wavelet coefficients and texture-based features. The second-level classification aims to specify the severity of malignancy, such as early or advanced stage using the same classifiers based on pertinent features. The efficiency of the proposed approach is validated using the mammogram images from Mammographic Image Analysis Society database, which contains 115 images tagged as “abnormal” covering 51 benign samples and 64 malignant samples.
Beyond the Virus: Multidisciplinary and International Perspectives on Inequalities raised by COVID-19

This report summarises the Work-in-Progress Symposium ‘Beyond the Virus: Multidisciplinary and International Perspectives on Inequalities raised by COVID-19’. The event consisted of four panels over two days. It brought together the contributors for the forthcoming edited collection with Bristol University Press (BUP), due to be published in 2022 under the Bristol Studies in Law and Social Justice series, tentatively entitled “Beyond the Virus: Multidisciplinary and International Perspectives on Inequalities raised by COVID-19” edited by Dr Sabrina Germain and Dr Adrienne Yong at The City Law School. The presentations were based on the chapters to the edited collection by each contributor and were followed by discussions. This collection examines social inequalities brought to stark attention by the COVID-19 pandemic under three thematic strands: power and governance, gender and sexuality, and marginalised communities. This project brings together a range of international scholars from multiple disciplines (law, sociology and politics) to showcase a diversity of perspectives on these themes. The unknowns around this novel virus and the scale of the epidemic make COVID-19 and its inequalities a timely subject. Understanding each of these issues from the perspective of multiple disciplines, with law at its centre, is the first step towards tackling them concretely and achieving social justice. The thematic coherence on social inequalities from international and multidisciplinary lenses is the project’s central feature.
LibGuides: Stressbusters: Virtual Visits!

Need a break? Here's a collection of some fun, casual stressbusters that you can do either solo or with your study group.
Public Perception of Hate Speech Use and its Effects on Voters’ Choice of Candidates during Elections

The study was carried out to determine the influence of hate speech on voters? choice and the effect of such speech on aspirants. Using survey research method to elicit data with the sample size of 102 respondents, it was revealed that a candidate can still win election irrespective of hate speech. This is evident in Table 5 where 78% of respondents agreed so. It was further revealed that hate speech can, however, tarnish a candidate?s reputation and may even cause such candidate to lose election. Findings showed that people (respondents) do not support the use of hate speech. Based on these findings, it was concluded among others that hate speech has little or no effect on voters? choice of candidate. It was recommended among others that candidates should endeavour to carry out campaigns that are issue-based, rather than resorting to the use of hate speech.
Binary Cyclic Pearson Codes

The phenomena of unknown gain or offset on communication systems and modern storages such as optical data storage and non-volatile memory (flash) becomes a serious problem. This problem can be handled by Pearson distance applied to the detector because it offers immunity to gain and offset mismatch. This distance can only be used for a specific set of codewords, called Pearson codes. An interesting example of Pearson code can be found in T-constrained code class. In this paper, we present binary 2-constrained codes with cyclic property. The construction of this code is adopted from cyclic codes, but it cannot be considered as cyclic codes.
U-Learning – The Design and Evaluation of Evocative Learning based Method for Futuristic Ubiquitous Educational Learning Environment

Technology has travelled a long way from an analogue world to a digital age, where our interaction in the virtual world is leading us towards virtual reality. Ubiquitous learning (UL) can be considered as a pattern in erudition grounded on ubiquitous latest technologies usage through smart devices. The research has gaged the level of awareness of ubiquitous learning and analyzed the contribution of various factors that are responsible for the rate of adoption of UL. The outcome of this research has led to coming up with a framework which if applied in any academic setup will lead to the effective delivery of the futuristic ubiquitous educational learning environment.
Denoising of degraded facial image sequences based PCA

One of the most stringent issues in image sequence processing lies in the high dimensionality of the image sequences.This issue is further made worse by the high correlation between the frames, on the one hand, and by the difficulty of noisy motion estimation, on the other hand.As a result, the de-noising algorithms are complex and require intense computational workload.To address this issue, we propose a novel algorithm based on the Principal Components Analysis (PCA) for dimension reduction, followed by a spatiotemporal filter for de-noising the dimensionally-reduced frames.The de-noising process is performed in the image reduced space by applying a temporal filter for motion compensation combined with a weighted average filter, and an wiener filter as a spatial filter for noise removal.The performance of the proposed method is proven using the Cohen-Kanade facial expressions (CKFE) database tested against different noise levels with PSNR and SSIM as metrics for objective evaluation.The experiments show that the proposed method gives better results than state of the art classical de-noising competitors.