Reviewerly/exHarmony huggingface dataset:
A Survey on the Students� Perceptions in Learning Speaking through Picture Media

The general aims in this research are to find out the students perceptions in learning speaking through picture media at the eleventh grade students of MA Roudlotul Muta�alimin in academic year 2019/2020. Furthermore, the aims can particularly be formulated to know what students perceptions in learning speaking through picture media. This research was categorized as survey research with the descriptive quantitative approach. The subject of this research is the eleventh grade students of MA Roudlotul Muta�alimin in academic year 2019/2020 as the participants totally 18 students. The questionnare was used to collected the data about students perceptions in learning speaking through picture media. And documentation was used to collected a description of the school and respondent. And the result is the eleventh graders of MA Roudlotul Muta�alimin had high integrative motivation to develop English speaking. They also had a high expectation that picture media could help them develop their English speaking skill. They also �strongly agreed� and �agreed� that English speaking mastery will help them to be more confident and courageous in speaking English, express their idea and motivate themselves even reached more than 80%. The response more than 85% of them �strongly agreed� and �agreed� that their mastery of English speaking will able to motivate themself to improve their ability to speak in English and make it easier for them to talk about anything in English by using picture media. In addition, the teacher also has an interesting method in learning English and often to use picture media in learning English.
Determining the Probability of Recovering Data from Damaged USB Flash Drive

Habit of storing digital data is becoming a common practice. To cope this need lots off secondary memory devices are commercially available in cheap prices. Important factor is significance of data, its dependability in human daily life. Hence looking at this scenario the cyber crime rates are at hike. Mostly after committing the crime intentionally or unintentionally criminals try to destroy the digital evidence by doing damage to e- device. Basic aim is to check whether damaged secondary can recover the data or not. For this purpose various damaged setup are done and by using software’s results are analyzed.
THE IMPLEMENTATION OF RECIPROCAL TEACHING IN READING CLASS

This research was conducted to find out how the application of reciprocal teaching can improve student’s understanding in reading subject. The application of Reciprocal Teaching can help university students as prospective educators to be able to improve their creativity. This research used Classroom Action Research (CAR) which had four steps of research procedures namely planning, implementing, observing, and analyzing. The subjects of this study were fourth semester students of Kanjuruhan University of Malang who took critical reading course. To achieve the criteria for success, researchers took two cycles by adopting theories from Kemmis and Taggart. In the first cycle, students who achieved success criteria were 43.47%. However, the success criteria targeted by researchers were75%. In the second cycle the success rate of students reached 82.60%. The conclusion of this study is that teaching reading using reciprocal can increase student motivation and increase student interaction. Because interaction with other students and with lecturer increases, motivation to learn and confidence also increases, it can also improve student learning outcomes. Positive competitiveness is also shown by students bravely expressing their ideas quickly. The application of reciprocal teaching in the class has problems including controlling classroom situations, there are some students who rely on their friends in doing work, and there are some students who are a bit selfish and feel that working together in working on problems makes them slow because they have to explain their opinions and then put forward in front of the class.&#x0D; Keywords: Creativity, Reciprocal Teaching, CAR&#x0D;
Multitasking a Perceptual Activity

Performing vision therapy with a preschooler, especially one with developmental delays, can be very exhausting - especially in the current times of COVID quarantine. Turning therapy into a fun and interactive (yet therapeutic) game is how I have best found to perform therapy with my own such little patient. If done with some imagination, a simple game can be turned into a whole therapy session all on its own.
SSB's latest Sartocheck system ensures maximum data integrity

Sartorius Stedim Biotech SA (SSB) has introduced it latest Sartocheck® filter integrity tester.
A Framework for Secure Data Storage and Retrieval in Cloud Environment

Plenty of research work is going on for efficient storage, processing, and analysis of large volume of data generated in real time and having varying nature and quality. The most common open-source framework for efficient computation of such large volume of data is Hadoop which processes big data sets by employing clusters of networked computers. On the other hand, cloud computing refers to storage of data and applications in cloud servers and accessing of the data of applications over the Internet following an on demand scheme. So the organizations who want to reduce costs and complexities associated with big data framework, the most suitable option for them is to take help of cloud infrastructure. But one biggest concern in this regard is the security of data and applications in cloud. Though Hadoop provides in-built encryption scheme and secured HTTP protocol, once data and applications are stored in public cloud, they become vulnerable to various security breaches still remain uncontrolled by the cloud service providers giving rise of a feeling of untrust. In this scenario, encrypting sensitive business data before cloud uploading may help in preventing access of data by evil intruders. In this paper, an extension to Hadoop security with respect to shared cloud has been proposed by designing a software framework where files are encrypted before uploading to cloud. Security performance of this framework for securing data in storage as well as in transit has been implemented such that without using the framework retrieval of data is not at all possible. Extra layer of security aided by symmetric key cryptographic technique has been proposed which will enhance the security of customers’ resources along with the present standard security measures of a cloud system. A software system performs symmetric encryption before transmitting a file of any format to cloud. To access this encrypted file, the same software system has to be used to download and decrypt the file. This paper also investigates the performances of most common symmetric key techniques AES, DES and triple DES cryptography with respect to the successful encryption of the customer data. This software framework can be applied to provide an extra security layer at the client’s end for users availing service of the cloud platform.
Ratatoskr

Ratatoskr is a three minutes full CG diploma project based on the norse mythology, which was a rich, wild and culturally relevant source of inspiration for our film. Our tale of the squirrel Ratatoskr, his friend Eikpyrnir and the tree of life Yggdrasil, offers everything that makes a good film: from engaging characters, varied story worlds over inspired artwork, mystical patterns and colors down to historically and economically relevant conflicts. Ratatoskr is a story about greed.
CARIOT+ Care Coach – An Ambient Assisted Living Ecosystem for Supporting Open Data and Open Science Projects

Europe faces a demographic shift towards a population with more elderly and less working age people. This necessitates the development of relevant technology-based care services, utilizing ambient assisted living (AAL) concepts and technologies. AAL products often rely on third-party vendor services and cloud hosting, storing and retrieving measurements from these using application programming interfaces (API). This strategy is prone to breaking changes when the third-party vendor changes interfaces or licensing agreements, and can also present legal, privacy, and security problems for healthcare organizations. Using open and independent components represents an alternative approach, allowing the systems to work autonomously together with third-party systems, thereby securing data privacy and security, and allowing for easy replacement of components and services from third-party vendors. Technology, components, and services that support open standards and open data approaches allows for reuse in new systems, and for hosting them in the most relevant settings. The aim of this technical paper is to present the CARIOT+ Care Coach ecosystem for supporting open data and open science. The technical components forming the ecosystem are presented based on experiences gained during three AAL programme projects, the CAMI project, the HELP ME BRUSH project, and the ORASTAR project. The center piece is the CARIOT gateway which is designed for easy collection of ambient sensor data in the home setting, allowing third-party systems full control of the data flow and storage. The paper presents the preliminary experiences gained during the projects and discusses future relevant developments, including how third-party organizations can build on the CARIOT+ Care Coach ecosystem. Finally, the paper discusses how other projects can use the ecosystem to build new and open ambient assisted living systems in the future.
Application of Computer Artificial Intelligence in Manufacturing Service

Nowadays, the development of computer artificial intelligence technology is very fast, and the application field is also very wide, computer artificial intelligence technology can effectively improve the efficiency and security of network operation, and in practice, we also found that the technology can provide technical support for many industries, and can optimize the system structure, improve the performance of the working system. China's manufacturing service industry is facing a decisive stage of strategic transformation. Transformation service strategy is one of the important development strategies in China. Production service strategy includes service-oriented production and service production industry, which is the trend of current economic development and an important path of production enterprise transformation. In order to explore the application of computer artificial intelligence technology in manufacturing service, this paper selects two manufacturing service companies, in which company a adopts artificial intelligence technology, and company B still uses the traditional technology. This experiment shows that the work efficiency of company a has increased from 78% in the first quarter to 90% in the fourth quarter, and its performance is also higher than that of company B, from 1.685 million yuan in the first quarter to 2.03 million yuan in the fourth quarter.
Bivariate Hypothesis Testing

An R Companion for the Third Edition of The Fundamentals of Political Science Research offers students a chance to delve into the world of R using real political data sets and statistical analysis techniques directly from Paul M. Kellstedt and Guy D. Whitten's best-selling textbook. Built in parallel with the main text, this workbook teaches students to apply the techniques they learn in each chapter by reproducing the analyses and results from each lesson using R. Students will also learn to create all of the tables and figures found in the textbook, leading to an even greater mastery of the core material. This accessible, informative, and engaging companion walks through the use of R step-by-step, using command lines and screenshots to demonstrate proper use of the software. With the help of these guides, students will become comfortable creating, editing, and using data sets in R to produce original statistical analyses for evaluating causal claims. End-of-chapter exercises encourage this innovation by asking students to formulate and evaluate their own hypotheses.
Social Media: Boon Or Bane For The Youngsters In Chennai

Social media is turning into a fundamental piece of everyone's life in 21st century. It is a dubious theme in the present society. Social media assumes a vital part in each understudy's life. It is less demanding and helpful to get to data, give data and convey by means of social media . Social media has made correspondence significantly more less demanding than any other time in recent memory. Presently, with a bit of a catch, people could speak with anyone and anyplace on the planet. Sites, for example, Facebook makes correspondence with others a simple undertaking. The objective of this study was to find the positive and negative impact of social media among the younger section of the society. This study has been done on 1450 respondents. The type of research used in this study is descriptive research. The sampling method used in this research study is convenient sampling to collect the samples. This study concludes that social media is a mixture of boon and bane.
Pains and Gains of Peer- Reviewing in Software Engineering

Peer-reviewing constitutes the reference mechanism for assuring the quality of scientific contributions in software engineering. In the teaser of this column series (i.e., [1]) we provided an overview of the current trends for peer reviewing in software engineering, including experienced pains and gains.
Standing Up to Trump, with Thoreau

Andrew McMurry’s personal essay “Standing Up to Trump, with Thoreau” offers a creative and defiant response to our uniquely troubled time. Serving up humor and self-deprecating confessions by turns, McMurry juxtaposes the joys of his newly embraced hobby (stand-up paddle boarding) and the endurance of Thoreauvian virtues as set against the moral morass and corrupting influences of the Trump presidency. McMurry begins by describing his two novel obsessions during the summer of 2016: “the traveling medicine show that was the Donald Trump presidential campaign, and stand-up paddle boarding.” McMurry at length attests to the liberating power of bearing witness and of shedding his professorial garbs in favor of keeping to as frank and honest a journal as he can, the better to keep inner and outer forces in balance while he focuses on a viable horizon. Fittingly, McMurry makes “use” of Thoreau in a time of social and political “abuse.”
Secrets Management

In this chapter, we will discuss how you might protect our secrets using provider services. We will explore the various ways AWS will enable us to encrypt secrets. Based on this exploration, we will select an approach that has a balance between encryption and convenience, and explore that approach in Azure and Google Cloud.
Generating Realistic Blood-Cell Images using Cycle-Consistent Generative Adversial Networks

generative adversial networks are a neural-network based generative models , predominantly used for generating data-samples close to the data distribution they have been trained on .A model for generating realistic blood cell images based on cycle-consistent generative adversial networks is developed along with their corresponding segmentation masks
Sistem Rekomendasi Suku Cadang Berdasarkan Item Based Filtering

Replaceable spare part on workshop have many transaction and possibility thus recommender system is needed to simplify the selection process. We propose recommender system with item collaborative filtering, with high data sparsity. With Single Value Decomposition we reduce the matriks to improve the system and decrease “noise” value. Model will be evaluated using MAE, RMSE, and FCP metrics. The results of recommendation model are MAE = 1.2752, RMSE = 1.4882, dan FCP = 0.4947.
Correction: The synthesis of polyurethane with mechanical properties that are responsive to water retention states

Correction for ‘The synthesis of polyurethane with mechanical properties that are responsive to water retention states’ by Xuemin Li <italic>et al.</italic>, <italic>Polym. Chem.</italic>, 2021, <bold>12</bold>, 1014–1022, DOI: 10.1039/D0PY01559H.
Supplemental Material: U-Pb detrital zircon ages of Cambrian–Ordovician sandstones from the Taebaeksan Basin, Korea: Provenance variability in platform shelf sequences and paleogeographic implications

Supplemental figures and tables.&lt;br&gt;
Determination of Informative Features Based on the Criteria of Positive Type

Currently, pattern recognition systems are widely used to solve practical problems. The choice of criterion in pattern recognition problems is fundamental. The choice of informative features depends on the criterion of informativeness. A single criterion has not been developed to select a set of informative features. Therefore, the criterion is selected from the formulation of a practical problem. For each selected criterion, it is necessary to develop special methods and algorithms. For homogeneous criteria, there is no single method.A new method and algorithm for determining sets of informative features based on generalized criteria of a positive order is proposed in this work.
Comparison of Text Classification Algorithms of People Sentiments on Twitter (Case Transjakarta)

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Implementation of User Centric SSE for Privacy-Preserving and Enhancing Searching Efficiency in Cloud Environment

Cloud computing allows the users geographically located to access data and application from a cloud which follows the pay-as-you-go financial model. This technology provides a method to enhance the capabilities dynamically without having to spend in new infrastructure or training personnel. Cloud computing promises to offer reliable services to the customer through the construction of next-generation data centers and storage technology. With its wide advantages, cloud computing has emerged as fast emergent segments of the IT. Hence data security is a major concern for cloud users. One solution to this is that user can apply encryption techniques on data before sending it to the cloud server. But encrypted data limits the server’s capability to make plaintext keyword search. Keyword search functionality that can function over the encrypted data is desirable but no information about the searched keyword or the retrieved document should not compromise in this process. Our implementation of searchable symmetric encryption proves that it is not vulnerable to such things and preserves privacy of user data and query.
MapReduce and the New Software Stack

Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.
Supplemental Material: The geochemical and geochronological implications of nanoscale trace-element clusters in rutile

Additional information on results, acquisition conditions and visualization of the APT mass spectrum, and 3D digital reconstructions. &lt;br&gt;
Comparing and Contrasting Serials in Public and Academic Libraries: How the Other Half Lives

SUMMARY. Stephen Headley compared serials work in public and academic libraries. He described the issues faced by those working with serials in both types of libraries. He discussed publisher and vendor problems, electronic access to periodicals, budget concerns, collection development for main and branch libraries, competition faced by public libraries, arrangement and storage of materials and clientele. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-HAWORTH. E-mail address: &lt;docdelivery@haworthpress.com&gt; Website: &lt;https://www.HaworthPress.com&gt;]
Effects of Fuzziness on an MHD Fluid Flow over an Exponentially Accelerated Inclined Plate

In most of the time, the real life phenomena are uncertain. Due to the uncertain nature, consideration of some exact values or definite conditions may cause errors in the solution process. The fluid flow problems are also uncertain due to the presence of various imprecise parameters, variables and conditions. Here, an MHD fluid flow over an exponentially accelerated inclined plate is considered in fuzzy environment. Fuzzy set theory (FST) may help to overcome the uncertain nature of the fluid flow problems. The governing equations and the boundary conditions of the considered problem are fuzzified using the extension principle. The fuzzified governing equations along with the fuzzified boundary conditions are solved using the finite difference method (FDM) by developing suitable computer programming code in Python. The values of the different parameters and variables (initial values) are taken as triangular fuzzy number (TFN). −cut technique is used to find the results. The effects of the various involved parameters and on the velocity, temperature and concentration profile are presented graphically and discussed.
Supplemental Material: Precision and accuracy of modal analysis methods for clastic deposits and rocks: A statistical and numerical modeling approach

&lt;div&gt;File 1: Review of some previous studies and statistical concepts. File 2: Figures for people with color blindness.&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;
Stepwise Refactoring Tools

The International Conference on Software Maintenance and Evolution is the premier international forum for researchers and practitioners from academia, industry, and government to present, discuss, and debate the most recent ideas, experiences, and challenges in software maintenance and evolution.