Reviewerly/exHarmony huggingface dataset:
HIDDEN CIPHER TEXT POLICY ABE WITH PATIENT HEALTH RECORD SYSTEM

In current days almost all small scale and large scale organizations try to adopt the centralized cloud server for their data storage and accessing from the remote locations connected all together from a centralized server with the help of internet. The traditional cipher text-policy attribute-based encryption (CP-ABE) is used to encrypt the data and then send the encrypted data along with keys to the storage server, which will leave a path for attackers to attack the data with that access key. Hence in this proposed application we try to use CP-ABE method on cloud server for encrypting the data and send only encrypted data to the cloud server.Here the keys which are required for encryption will not be send to the centralized server rather than they are send from key-authority which is used for giving keys for the users who request.
Dirichlet Pruning for Neural Network Compression

We introduce Dirichlet pruning, a novel post-processing technique to transform a large neural network model into a compressed one. Dirichlet pruning is a form of structured pruning that assigns the Dirichlet distribution over each layer's channels in convolutional layers (or neurons in fully-connected layers) and estimates the parameters of the distribution over these units using variational inference. The learned distribution allows us to remove unimportant units, resulting in a compact architecture containing only crucial features for a task at hand. The number of newly introduced Dirichlet parameters is only linear in the number of channels, which allows for rapid training, requiring as little as one epoch to converge. We perform extensive experiments, in particular on larger architectures such as VGG and ResNet (45% and 58% compression rate, respectively) where our method achieves the state-of-the-art compression performance and provides interpretable features as a by-product.
Perception of Youth Regarding PM Nawaz Shareef on Panama Leaks Issue: A Case Study of Bahauddin Zakariya University Students

Panama Papers are almost a set of 11.5 million documents that were leaked privately. This study contributes to the impact that media poses in changing the opinion of individuals over issues, events or news. The information was collected through survey methodology in which the researcher divided the University students into 5 categories from whom the information was collected; these categories included Arts, Natural Science, Engineering, Agriculture and Social Science. The sample selected for the research was 300 respondents from these categories, and 60 students were chosen through Systematic sampling from every category from whom the information was collected; the study findings show that most of the students of Bahauddin Zakariya University were familiar with the Panama leaks issue and got to know about it through social media. The study also finds that among the students who are aware of Panama leaks, many of them believe in the credibility and veracity of the issue. In this study, the Pearson Chi-squared test indicates there is a correlation between people perception about the veracity of Panama Leaks and their trust in the explanation provided by the Shareef family.
PERANCANGAN SISTEM INFORMASI AKADEMIK PADA PAUD AL-HAFIZH HAJI RADUN KADIR

The development of information systems at this time is increasingly rapid. In the field of education, information system technology is used as a tool to assist educational institutions in their service levels and simplify the process of data processing and data storage quickly and accurately. The design and research of this information system aims to produce a web-based academic information system application at the Paud Al-Hafizh HRK institution that can manage the grades and attendance of each student. The design of this web-based academic information system application uses the Prototyping method and is built using HTML and PHP, and the MSQL server as a database. This application is expected to make it easier for schools or educational institutions in managing grades and student attendance data
Effects of Precise and Imprecise Value-Set Analysis (VSA) Information on Manual Code Analysis

Binary reverse engineers combine automated and manual techniques to answer questions about software.However, when evaluating automated analysis results, they rarely have additional information to help them contextualize these results in the binary.We expect that humans could more readily understand the binary program and these analysis results if they had access to information usually kept internal to the analysis, like value-set analysis (VSA) information.However, these automated analyses often give up precision for scalability, and imprecise information might hinder human decision making.To assess how precision of VSA information affects human analysts, we designed a human study in which reverse engineers answered short information flow problems, determining whether code snippets would print sensitive information.We hypothesized that precise VSA information would help our participants analyze code faster and more accurately, and that imprecise VSA information would lead to slower, less accurate performance than no VSA information.We presented hand-crafted code snippets with precise, imprecise, or no VSA information in a blocked design, recording participants' eye movements, response times, and accuracy while they analyzed the snippets.Our data showed that precise VSA information changed participants' problemsolving strategies and supported faster, more accurate analyses.However, surprisingly, imprecise VSA information also led to increased accuracy relative to no VSA information, likely due to the extra time participants spent working through the code.
An interactive malaysian history mobile application for uppersecondary school students in malaysia / Nurul Hani Hassan and Masurah Mohamad

Malaysian History subject is a compulsory subject that need to be learned by all students of Malaysia secondary school. However, the Malaysian History subject is not the most popular subject among the students. The students are required to understand and memorize the facts in order to answer all questions and score in the examination. Based on the conducted survey, most of the respondents (upper secondary school students) feel that the way of teaching and learning this subject need to be changed. The students feel that learning with textbook is unappealing to them. Thus, an interactive application is proposed to overcome this problem. The main objective of this project is to develop interactive mobile application that helps students to learn Malaysian History subject in more enjoyable and interactive way. The application is built using Sketchware which builds Android application directly on mobile devices. The project combines JAVA and Sketch programming language to develop this application. Based on the survey conducted on thirty-one students, sixty-one percent of the students strongly agree that this application is easy to use and interactive since it combines audio, videos and pictures to attract the students into the world of Malaysian History. As the result, students can visualize, understand and appreciate the Malaysian History subject and also their own national history.
Comparative Study on the Influencing Factors of the Helpfulness of Online Negative Reviews Based on Commodity Types

[目的/意义]对在线负面评论有用性影响因素分析,能够有助于揭示在线评论的作用机理,更加有效地发挥在线评论的应用价值.[过程/方法]以京东商城(jd.com)搜索型和体验型商品的在线负面评论为研究对象建立分层回归模型,从形式特征、 内容特征、 文本特征、 反馈特征等4个维度出发,探索不同因素对在线负面评论有用性的影响,并采用主成分分析法对商品类型调节作用下的影响因素重要程度进行排序.[结果/结论]研究结果表明,在线负面评论的影响因素受商品类型调节,会对有用性产生非线性复杂影响,导致作用度存在差异.对于搜索型商品,在线负面评论中评论等级、 回复次数和评论长度等影响因素的有用性明显;而对于体验型商品,在线负面评论中附加图片、 详尽地客观描述能够促进消费者做出购买决策.
ANALISIS SISTEM PENGENDALIAN INTERN PENJUALAN KREDIT PADA PT XYZ

ABSTRACT This study aims to analyze the credit sales internal control system at PT XYZ. The research uses an approach approach, with the correlational method. The collection method is qualitative, in the form of primary and secondary data collected through documentation. The internal control system applied to PT XYZ is doing well, the shortcomings are still in the dual position, namely the dual position of the warehouse section with the shipping section, the accounting section with the current billing section. Billing delays are piled up containing the activity of the accounting function at the end of the period. There is no shipping section that can actually be separated from the warehouse, credit and billing sections, so it will be an obstacle in accountability. Keywords: Credit Sales System, Internal Control System .
EVALUATING ENGLISH FOR IRAQ TEXTBOOK GRADE 5 IN TERMS OF TEXTBOOK QUALITY STANDARDS

This study attempts to evaluate English for Iraq textbook grade 5 and compare English for Iraq 5 Pupil's book and Activity book in light of the American Council for the Teaching of Foreign Languages (ACTFL) Standards. The study approach is descriptive as the researcher uses content analysis to analyze the activities of all 8 units in English for Iraq textbook and then determine the availability of ATCFL standards in the textbook. The collected data were analyzed statistically. The results of this study indicated that English for Iraq textbook grade 5 matches the ATCFL five main standards ( communication, cultures, connections, comparisons, and communities) moderately since English for Iraq textbook grade 5 matches cultures and connections standards largely whereas it matches communications, comparisons, and communities moderately.
A Study of Age wise Spectrum of Breast Lump Biopsies with FNAC Correlation a 3-Year Experience from a Tertiary Health Care Centre

AbstractIntroduction: Breast cancer is the commonest malignancy in women worldwide and leading cause of death from cancer in women. So the preoperative evaluationof breast lumps is an essential part of the management of breast lesions. Fine needle aspiration cytology (FNAC) is a well-accepted procedure and is a valuabletool in the diagnosis and patient management of breast lesions. It has high diagnostic accuracy. This helps the clinician in planning the correct surgical or medicaltreatment.Aim: Correlation of breast lump FNAC with biopsiesMaterials and Methods: 3 years retrospective study of 90 patients attending outpatient department of M.S.RAMAIAH Medical College from JAN 2015 to DEC 2017presented with breast lump in women, who underwent FNAC in the Department of Pathology were correlated with histopathology in 90 cases.Results: Out of 90 cases 67 benign and 23 were malignant. Maximum cases (24) seen in 21 -30 years, most of them were benign conditions. Fibro adenoma wasthe most common benign condition (32.8%). Malignant cases were seen more in the 5th decade. IDC was the most common type. Diagnostic accuracy of FNACfor malignant condition was 68.96%.Conclusion: The results of our study showed FNA of breast lump to be a reliable method to diagnose breast lump with high accuracy. Triple assessment by clinical,radiological and FNAC can produce 99% accuracy for both benign and malignant lesions. Histopathological study acts as an internal quality measure for Cytologicaldiagnosis .It is the gold standard for diagnosis of neoplastic lesions.Keywords: Breast lumps • Fibro adenoma • BiopsyAbbreviations: FNAC: Fine needle aspiration cytology • IDC: Invasive Ductal Carcinoma
PAKARNA (Papan Angka Berwarna) in Arithmetic Series Material

PAKARNA (Papan Angka Berwarna) is a learning medium used to see the basic concepts of arithmetic sequence material.PAKARNA learning media (Papan Angka Berwarna) is able to provide direct experience to students so that it is easy to understand the concept of arithmetic sequence material, besides that it is easy to use so that learning arithmetic sequences can be more effective and efficient, easy to manufacture, the learning media consists of several colors so as to attract the attention of students in learning mathematics.There are three aspects of accessing media experts, namely the content feasibility components, presentation components and graphic components of PAKARNA which are managed by media experts and mathematics teachers.The results obtained by the proportion of media validation for feasibility in total were 80%, that the PAKARNA media was feasible to be used as a classroom learning medium.Most (69%) students neglect positivity towards learning mathematics using PAKARNA learning media.This means that students are happy with learning using PAKARNA media.
Research Guides: COVID-19 Coronavirus - A Research Guide: Government Resources

The goal of this research guide is to provide information sources and links about the current outbreak of coronavirus COVID-19. This is a work in progress as we add more links and resources.
The Impact of Innovative Technology and Autonomous Agents on Digital Transformation With Special Reference To Block Chain, (IoT) and AI

There is a digital transformation in all areas of business, education and transport with the help of cloud – enabled IoT devices and interactive AI that prove to be primary contributors to data analytics. Secondary data from several sources have been reviewed and based on the analysis of previous studies conclusions are drawn in this paper. This study analyses the challenges faced by IoT and AI enabled devices and investigates the benefits of using block chain technology. The paper aims to bring into light the development of new business models based on the convergence of technology like block chain, AI and IoT. There is an increasing convergence of information technology and operational technology towards IoT. By design, innovations like IoT, AI, IDoT and Block chain are complementary and can be exploited to their full potential when used together. Their convergence can be an indispensable tool for data management and automation in business processes.
대용량 자료에 대한 밀도 적응 격자 기반의 k-NN 회귀 모형

Purpose: This paper proposes a density adaptive grid algorithm for the k-NN regression model to reduce the computation time for large datasets without significant prediction accuracy loss.Methods: The proposed method utilizes the concept of the grid with centroid to reduce the number of reference data points so that the required computation time is much reduced. Since the grid generation process in this paper is based on quantiles of original variables, the proposed method can fully reflect the density information of the original reference data set.Results: Using five real-life datasets, the proposed k-NN regression model is compared with the original k-NN regression model. The results show that the proposed density adaptive grid-based k-NN regression model is superior to the original k-NN regression in terms of data reduction ratio and time efficiency ratio, and provides a similar prediction error if the appropriate number of grids is selected.Conclusion: The proposed density adaptive grid algorithm for the k-NN regression model is a simple and effective model which can help avoid a large loss of prediction accuracy with faster execution speed and fewer memory requirements during the testing phase.
Foreword: Special section on the Eurographics Workshop on Visual Computing for Biology and Medicine (EG VCBM) 2020

• VCBM is the Eurographics Workshop on Visual Computing for Biology and Medicine. • We address application-oriented visual computing research. • This is includes visualization, visual analytics, image processing, and HCL. • This section contains extended papers from VCBM 2021 and completely new articles.
Innovative pedagogical practices in Portuguese schools: first steps of a research project

Mapping innovation is crucial in education to guide educators and policymakers to spread high-quality pedagogical practices. Improving learning with innovation in mind is required today. Although innovation is an emergent topic in the educational policy reforms around the world, and particularly in Portugal, more research is needed. This paper presents the research project “4A’ model for Measuring Innovative Pedagogical Practices in Portuguese schools: Approaching, Assessing, Applying, and Amplifying”. Inspired by the recent OECD report “Measuring innovation in education” and considering the current challenges that Portuguese schools face ensuring a more inclusive and innovative education, this project aims to measure and map innovative pedagogical practices in the Portuguese educational system, from elementary to secondary grade. A brief literature review, project plan, and some implications are presented.
Transaction technique during bulk deal order to run smooth transaction with crypto exchanges and banking system.

Rundown of transaction is the latest concern for cryptocurrency exchanges between banking and financial institute and this will happen during the panic buy or sell of the digital coins online and this situation will occur during very large scale of external source news or by most popular influencer around the world due to this there is very high trading activities has been done which may result in bulk in transaction which occurred load to the banking servers and financial institute while converting the large scale deal. So, with the help of cached paused bid algorithm. This technique us the unique way which is called as winner determination problem which is called as higher value contributor has bid set value which can choose higher value to make successful transaction.
The Grammatical Form of Content and Functions Words in Chinese Textbook for Indonesian Students

With the rapid of China‘s society development, chinese content and function words had their own development in static and dynamic form in grammatical form. Indonesian students have to know well about the functions and characteristics of Chinese content and function words in order to learn and used Chinese words. This research used qualitative method and the category based on Modern Chinese Dictionary (现代汉语词典Xiandai Hanyu Cidian) to categorize the vocabularies in Contemporary Chinese textbook. The results showed that 46% of content words were nouns, 26% were verbs, and 13% were adjectives. The content words in Contemporary Chinese textbook include six parts of speech in the category of content words were nouns, verbs, adjectives, numerals, measure words and pronouns. The function words in these content words were categorized into four of six parts, there were adverbs, prepositions, conjunctions, auxiliary words. There were no exclamation words, onomatopoetic words in the textbook. 42% of function words were adverbs, 17% conjunction words, 13% were prepositions, and some function words category had unique characteristics, such as the adverb ―把ba and―离li, the auxiliary words (―的de，―得de，―地de).
Solution of the Grazing Goat Problem: A Conflict between Beauty and Pragmatism

What is the ideal solution of a problem in mathematics? It depends on your nerd ideology. Pure mathematicians worship the beauty of a mathematics result. Closed form solutions are particularly beautiful. Engineers and applied mathematicians, on the other hand, focus on the result independent of its beauty. If a solution exists and can be calculated, that's enough. The job is done. An example is solution of the grazing goat problem. A recent closed form solution in the form of a ratio of two contour integrals has been found for the grazing goat problem and its beauty has been admired by pure mathematicians. For the engineer and applied mathematician, numerical solution of the grazing goat problem comes from an easily derived transcendental equation. The transcendental equation, known for some time, was not considered a beautiful enough solution for the pure mathematician so they kept on looking until they found a closed form solution. The numerical evaluation of the transcendental equation is not as beautiful. It is not in closed form. But the accuracy of the solution can straightforwardly be evaluated to within any accuracy desired. To illustrate, we derive and solve the transcendental equation for a generalization of the grazing goat problem.
PENDAMPINGAN KAMPUNG PENDIDIKAN SEBAGAI UPAYA MENCIPTAKAN KAMPUNG RAMAH ANAK DI BANYU URIP WETAN SURABAYA

Banyu Urip Wetan Village (BUWET) is one of the target areas of the 2019 KP-KAS (Kampung Arek Suroboyo Educational Village) competition program held by the Surabaya city government and DP5A. The KP-KAS competition program was accompanied by DINPUS, NGOs and academics on the elements of the competition categories namely Kampung Kreatif, Asuh, Belajar, Aman, Sehat, Literasi, Penggerak Pemuda Literasi through socialization, training and mentoring. In the KP-KAS Competition, the Portfolio is obliged to prepare in accordance with the provisions stipulated by the Surabaya City Government. Banyu Urip Wetan Village, Sawahan Subdistrict, Surabaya City, is one of the villages that feels the need for assistance in preparing the 2019 KP-CAS Competition Portfolio. The KP-KAS Competition portfolio is in accordance with the provisions and on time and is able to reveal the potential and advantages possessed. The assistance method is to provide technical guidance on the preparation of the KP-KAS Portfolio which is carried out coordinatively by the STIESIA lecturer team in each competition category. The implementation of the KP-KAS competition program through coordination, mutual cooperation and collaboration between RT, RW, parents, children, community leaders and community participation of RW VI greatly helped the implementation of the KP-KAS program. It is recommended to maintain the village environment after the competition and the need to increase cooperation with various parties in protecting children.
THD Measurement and Simulation of Grid-Connected Solar PV and Wind Integrated Renewable Energy System

The information mining is the innovation which is applied to remove the helpful data from the rouge data. The clustering is the effective strategy which is applied to group the comparable and disparate kind of data. Clustering is an unaided Machine Learning- based Algorithm that contains a gathering of data focuses into groups with the goal that the items have a place with a similar gathering. Grouping serves to parts data into a few subsets. Every one of these subsets contains data like one another, and these subsets are called groups. Since the data from our client base is isolated into groups, we can settle on an educated choice about who we believe is most appropriate for this item. This paper talks about the different sorts of calculations like k-means clustering calculations, and so on also, examines the favorable circumstances and deficiencies of the different calculations. In each kind we can ascertain the separation between every datum question and all group focuses in every emphasis, which makes the productivity of clustering isn't high. This paper gives a wide review of the most fundamental systems and recognizes.This paper likewise manages the issues of grouping calculation, for example, time multifaceted nature and exactness to give the better outcomes dependent on different situations. The outcomes are talked about on immense datasets.