Reviewerly/exHarmony huggingface dataset:
Class and ID Selectors

Class and id selectors define rules that apply to only a selected set of HTML elements. They allow you to identify individual elements, or groups of elements, without having to style all instances of the element type.
Basic Styling

By now, you have a solid grasp of the main underlying concepts of CSS. Now it's time to dive in and start learning some CSS properties and styling techniques. We'll start with the basics in this chapter.
The implementation of the talking chips technique to improve students’ speaking ability at the second grade students of SMAN 1 Seputih Agung

The objectives of this research were to find out i) whether there was statistically significant improvement of the students’ speaking ability after the students were taught through the Talking Chips technique and ii) the students’ perceptions of the implementation of the technique. One group pretest posttest was used as the design of the study. The subjects of the research were 34 students of XI MIA I of SMAN 1 Seputih Agung in academic year 2019/2020. The instruments were the speaking test and interview protocol. The data were in the form of speaking scores taken from the pretest, the posttest and interview. The results showed that there was statistically significant improvement of students’ speaking ability in terms of pronunciation, vocabulary, grammar, fluency, and comprehension with the significant level &lt;0.05. Furthermore, the result of the interview showed that the majority of the students (96%) had positive perceptions of the technique. That is, the technique was perceived as the technique that gave a positive learning atmosphere that actively involved the students in the teaching and learning activities. This suggests that the Talking Chips technique facilitates the students to improve their speaking ability.
Virtually There: The Potential, Process and Problems of Using 360° Video in the Classroom

[This Proceedings paper was revised and published in the 2019 issue of the journal Issues in Informing Science and Information Technology, Volume 16] Aim/Purpose: This paper presents an exploratory case study into using 360° videos to present small segments of lecture content for IT students in an Australian University. The aim of this study was to understand; what is the impact of incorporating 360° videos into class content for students and teaching staff? In this study the 360° videos are described as “learning atoms”. Learning atoms are short duration videos (1 to 5 minutes) captured in 360°. Background: Within this paper we conducted experiments in the classroom using 360° videos to determine if they have an impact on student's feeling of presence with class content. Additionally, to follow up, how does the inclusion of 360° impact on the teaching experience. Methodology: The methodology used in this study focused on both quantitative and qualita-tive aspects. Data was captured at the same time during the teaching period to address the research questions. In order to gauge the feeling of presence within the classroom a short survey was administered to students in the undergraduate IT class at the start (pre) and end (post) of the semester using the same questions to measure any change. Contribution: The main contributions from this study were that we demonstrated there is a potential for providing an alternative ‘immersive’ content presentation for students. This alternative content took the form of 360° learning atoms, whereas further showed our nuance process for creating and publishing of these atoms. Findings: The results show that for students, learning atoms can help improve the sense of presence, particularly for remote students, however the interactive experience can take student’s attention away from the lecturer. The results present potential for providing an alternative ‘immersive’ content presentation for students, however problems for uptake are present for both students and teachers, such as image capture quality and file size Impact on Society: We foresee this approach as being a new approach to teaching students in higher education within online spaces to increase engagement and move towards having a richer virtual experience no matter the location. Future Research: Future research will be conducted to resolve whether presence and engagement is supported by the inclusion of 360° videos in the classroom.
Intake

OpflowVolume 46, Issue 5 p. 2-2 Departments Intake First published: 06 May 2020 https://doi.org/10.1002/opfl.1360Read 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume46, Issue5May 2020Pages 2-2 RelatedInformation
Recommender Systems

Recommender systems (RSs) are powerful information filtering systems that rank items and recommend them to a user based on the preferences of the user and the features of the items. These recommendations can vary from which movies to watch to what products to purchase, from which songs to listen to which services to receive. The goal of recommender systems is to suggest the right items to the user to build a trust relationship to achieve long-term business objectives. Most of the large tech companies such as Amazon, Netflix, Spotify, YouTube, and Google benefit from recommender systems to a great extent.
Text Spacing

The following properties deal with the space between text content. They are all inherited by default.
Try these virtual orientation strategies to set students up for success

Nine weeks. That's how long Samantha Proffitt had to pull together an entirely online orientation in the spring and early summer of 2020.
Segmentation of Pancreatic Ductal Adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture descriptors

Abstract Fully automated and volumetric segmentation of critical tumors may play a crucial role in diagnosis and surgical planning. One of the most challenging tumor segmentation tasks is localization of Pancreatic Ductal Adenocarcinoma (PDAC). Exclusive application of conventional methods does not appear promising. Deep learning approaches has achieved great success in the computer aided diagnosis, especially in biomedical image segmentation. This paper introduces a framework based on convolutional neural network (CNN) for segmentation of PDAC mass and surrounding vessels in CT images by incorporating powerful classic features, as well. First, a 3D-CNN architecture is used to localize the pancreas region from the whole CT volume using 3D Local Binary Pattern (LBP) map of the original image. Segmentation of PDAC mass is subsequently performed using 2D attention U-Net and Texture Attention U-Net (TAU-Net). TAU-Net is introduced by fusion of dense Scale-Invariant Feature Transform (SIFT) and LBP descriptors into the attention U-Net. An ensemble model is then used to cumulate the advantages of both networks using a 3D-CNN. In addition, to reduce the effects of imbalanced data, a new loss function is proposed as a weighted combination of three classic losses including Generalized Dice Loss (GDL), Weighted Pixel-Wise Cross Entropy loss (WPCE) and boundary loss. Due to insufficient sample size for vessel segmentation, we used the above-mentioned pre-trained networks and fin-tuned them. Experimental results show that the proposed method improves the Dice score for PDAC mass segmentation in portal-venous phase by 7.52% compared to state-of-the-art methods (from 53.08% to 60.6%) in term of DSC. Besides, three dimensional visualization of the tumor and surrounding vessels can facilitate the evaluation of PDAC treatment response.
Penerapan Sistem Informasi Manajemen di Sekolah

This article aims to discuss how to use and apply a management information system in a school. this article uses the literatur study method in writing the article. the results obtained from this article are many activities carried out by schools that use management information systems that have a positive impact on the results of their work. so that it can improve the effectiveness and efficiency of work and can also improve the quality of work.
Proactive Defense

Throughout my career, I have referenced and used multiple controls frameworks and I am often asked which domains I would choose as my foundation for creating Proactive Defenses. This chapter identifies the areas of any Cyber/InfoSec strategy that I believe any business should be focusing their efforts, so as to make them less of a target for criminals. Each pillar is reliant on the pillar before it to help focus your efforts in improving your ability to identify and respond to the presence of ABNORMAL activities within your corporate environment.
Interfaces to Scripting Languages in Visual Analytics Applications

The need to use data visualization and visual analysis in various fields has led to the development of feature-rich standalone applications such as Tableau and MS Power BI. These applications provide ready-to-use functionality for loading, analyzing and visualizing data, even for users who are not familiar with programming and scripting. Meanwhile, data scientists have to combine many different tools and techniques in their daily work, since no standalone application can yet cover the entire workflow. As a result, a rich landscape of open source libraries is available today, covering various tasks from data analysis to modeling and visualization. To combine the best of two worlds, interfaces for scripting languages have been integrated into standalone applications in recent years. We analyzed which interfaces to six common scripting languages are offered. The interfaces offer different levels of integration and therefore support different steps of the data science workflow. In this paper we investigated the integration levels of script languages in standalone applications and divided them into four groups. We used this classification to evaluate 13 standalone visual analysis applications currently available on the market. We then analyzed which groups of applications best support which steps in the data science workflow. We found that a tight integration of scripting languages can especially support the explorative analysis and modeling phase of the data science workflow. We also discuss our results in the light of visual analysis research and give suggestions for future research directions.
Live Virtual Machine migration: A Performance Test Xen and KVM

Virtualization technology has many important features such as live virtual machine migration. In live virtual machine migration, a power on virtual machine is moved from one physical host to another. It has various benefits such as server consolidation, proactive failure, load balancing, energy saving and resource scheduling. Live virtual machine migration is very useful tool in cluster environment, administrators of data centers and in cloud environment. Live virtual machine migration is supported by hypervisors such as Xen, KVM, VMware etc. In this paper we discuss live virtual machine migration Pre-Copy approach which is a default approach in many hypervisors. We compare the performance of virtual machines which are made using Xen and KVM. We also compare performance when virtual machines are migrate using Xen and KVM in cloudreport simulator. In result we find that KVM performs better than Xen.
The Curse of Knowledge in Visual Data Communication

A viewer can extract many potential patterns from any set of visualized data values. But that means that two people can see different patterns in the same visualization, potentially leading to miscommunication. Here, we show that when people are primed to see one pattern in the data as visually salient, they believe that naïve viewers will experience the same visual salience. Participants were told one of multiple backstories about political events that affected public polling data, before viewing a graph that depicted those data. One pattern in the data was particularly visually salient to them given the backstory that they heard. They then predicted what naïve viewers would most visually salient on the visualization. They were strongly influenced by their own knowledge, despite explicit instructions to ignore it, predicting that others would find the same patterns to be most visually salient. This result reflects a psychological phenomenon known as the curse of knowledge, where an expert struggles to re-create the state of mind of a novice. The present findings show that the curse of knowledge also plagues the visual perception of data, explaining why people can fail to connect with audiences when they communicate patterns in data.
Multi People Tracking using Related Motion Patterns Based on Particles

Many state-of-the-art approaches to people tracking rely on detecting them in each frame independently, grouping detections into short but reliable trajectory segments, and then further grouping them into full trajectories. This grouping typically relies on imposing local smoothness constraints but almost never on enforcing more global constraints on the trajectories. In this paper, we propose an approach to imposing global consistency by first inferring behavioral patterns from the ground truth and then using them to guide the tracking algorithm. When used in conjunction with severalstate-of-the-art algorithms, this further increases their already good performance. Furthermore, we propose an unsupervised scheme that yields almost similar improvements without the need for ground truth
The first independent study on the complex trial protocol version of the P300-based concealed information test: Corroboration of previous findings and highlights on vulnerabilities

More than a dozen studies of the Complex Trial Protocol (CTP) version of the P300-based Concealed Information Test have been published since its introduction (Rosenfeld et al., 2008), and it has been fairly consistently proven to provide high accuracy and strong resistance to countermeasures (Rosenfeld et al., 2013). However, no independent authors have verified these findings until now. In the present, first independent study, we corroborate the accuracy and countermeasure-resistance of the CTP, when the probe item (critical presented information, e.g., crime detail; P) vs. all irrelevant items (Iall) comparison is used for classifying participants as guilty or innocent, but we also show that the CTP is severely vulnerable to countermeasures, when the P vs. the irrelevant item with the largest P300 responses (Imax) comparison is used. This latter measure can be defeated by creating “oddball” items among the irrelevant items (through targeting them with covert responses), and thereby making their P300 responses statistically indistinguishable from those of the probe item. Practical implications are discussed.
Use of Chaotic Randomness Numbers

The timeless search for optimizing the demand and supply of any resource is one of the main issues for humanity nearly from the beginning of time. The relevant cost of adding an extra resource reacts by means of more energy requirement, more emissions, interaction with policies and market status makes is even more complicated. Optimization of demand and supply is the key to successfully solve the problem. There are various optimization algorithms in the literature and most of them uses various algorithms of iteration and some degree of randomness to find the optimum solution. Most of the metaheuristic and artificial intelligence algorithms require the randomness where to make a new decision to go forward. So this chapter is about the possible use of chaotic random numbers in the metaheuristic and artificial intelligence algorithms that requires random numbers. The authors only provide the necessary information about the algorithms instead of providing full detailed explanation of the subjects assuming the readers already have theoretical basic information.
DEVELOPMENT OF COLLECTIVE ACTIVITY OF SPECIALIZED ASSISTANT SCHOOL STUDENTS ON THE BASIS OF DIDACTIC GAMES IN MATHEMATICS

Teaching math helps students with intellectual disabilities develop cognitive skills such as cognition, memory, thinking, imagination, and mastery of mathematical knowledge and skills. Corrective work aimed at developing mathematical knowledge, skills and abilities allows to perform mental operations such as analysis, synthesis, comparison, generalization, concretization.
<scp>Geophysics</scp> Bright Spots

Volunteers are busy putting together the technical program for the SEG Annual Meeting in San Antonio. As members of the SEG Research Committee, Ray Abma and I are organizing the “Recent advances and the road ahead” special session. We invited several TLE special section editors to present hot topics. In addition, we invited a few authors of papers nominated by the editors of this column to present their cutting-edge research. I think it will be an interesting mix. The session will focus on seismic technology, and I wish we had more room for some of the great nonseismic innovative work. I am always impressed with the diversity and quality of the Geophysics papers nominated for this column, like the ones below.
Folding

It is common to observe evidence in rock sequences indicating that they have been subjected to stresses at some stage in their history. If these stresses were applied to rocks in a ductile state, the resulting structures are flexures of the rock beds called folds. This chapter deals with the geometrical features of folds and their associated terminology and classifications. Methods are explained that use information obtained from a geological map to construct the subsurface geometry of the folded units. These methods can be applied to estimate mineral resources.
The Formation of Multi-Culturalness as a Prerequisite for the Efficient Performance of Lecturers in Situations of Inter-Ethnic Communication

A characteristic trait of the global society is the introduction of the idea of multi-culturalness into all areas of human life. Therefore, general cultural competencies shall include such a constituent as multi-cultural competency of personality to enable efficient performance in situations of inter-ethnic communication. The set problem has been tackled by all social institutions, however, the central role in that regard is the teaching community, which has a strong influence on the content of young people’s consciousness and behaviour. In this regard, it is important to update the problem of shaping the multicultural competence of university lecturers, which is the purpose of this study. To achieve the set objective, several intercomplementary research methods and techniques were applied: the theoretical analysis of scientific literature, observations, questionnaires, a content-analysis method, testing. A study of 200 teachers showed that in the minds of teachers, knowledge regarding the specifics of a multicultural environment, the image of a representative of another culture and inter-ethnic interactions are presented at the everyday level, are formed spontaneously based on their own experience, which requires the creation of special conditions for their further development. The content-analysis has yielded that markers used during defining a multi-cultural environment often include such semantic constructions as ‘various cultures’ and ‘several cultures’. A study of the characteristics of communicative tolerance showed that most teachers have a high level of tolerance manifested in various situations of interpersonal relations, whereas a low level was not detected.
The Evolving Market for Libraries: Lessons from the Cereal Industry

The digital revolution offers tremendous potential to add value to the processes of information creation, dissemination, and access while at the same time reshaping the roles of the library and librarians. The University of Michigan’s Digital Library Program is offered as a case study to highlight the organizational, technological, and behavioral challenges of developing and integrating digital collections and services. The program has also pursued the development of a campus “information community”—i.e., coherent and coordinated approaches toward information economics, access, and management. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
PERANGKAT SUMBER DAYA MANUSIA

Nowadays the development of information technology has been so rapid. Rapid development is not only in hardware and software technology, but also in developing computing methods. Every organization, especially companies, needs real data from every level of management. The data is arranged and managed in an information system. One of the most important information systems in the company is the Human Resources Information System (SISDM / HRIS). Every large company must have a human resource information system. The human resource system helps businesses develop employee staffing needs, identify potential new employees, keep employee records, track employee training, skills and work performance, and help managers develop plans that match employee compensation and career development. Enterprise systems can help businesses to coordinate their staffing arrangements with production and sales activities and financial resources. Human resources are responsible for attracting, developing, and maintaining company work units.
Text Summarization and Classification of Clinical Discharge Summaries using Deep Learning

&lt;p&gt;This paper implements the automated classification of patient discharge notes into standard disease labels which includes the name of the diagnostic procedure required. In this approach, we use Convolutional Neural Networks to classify and represent complex features from the medical discharge summaries using the MT sample dataset. We make use of GloVE to have a pretrained model learn from it.&lt;b&gt;&lt;/b&gt;&lt;/p&gt;
THE POWER OF MIND MAPPING TO PRODUCE GOOD WRITING PRODUCT

The objective of this study was to find out the significant difference in writing achievement between the 11th grade students SMA Al-Amalul Khair Palembang who were taught by Mind Mapping technique and in that of those who were not. The second objective was to find out the improvement of the 11th grade students’ writing score at SMA Al-Amalul Khair Palembang after they were taught using Mind Mapping technique. The Quasi-experimental method through pretest-posttest non-equivalent control group design was used in this study. The population was all of 11th grade natural science students at SMA Al-Amalul Khair Palembang in academic year 2018/2019. The total number of the population was 52 students in which they were divided into two classes as class 11.1 and 11.2. The sample was taken non-randomly. Class 11.1 was chosen as the experimental group and class 11.2 was chosen as the control group. The total number of the sample in the experimental group was 22 students. The test was administered twice as pretest and posttest. The results of the tests were analyzed by using paired sample t-test and independent sample t-test through SPSS (Statistical Package for Social Sciences) program.
Measuring the Hotness of Video Streaming Will Transform Consumer Experience and Reduce Costs

Abstract The paper ‘Cost-Efficient Cloud-Based Video Streaming Through Measuring Hotness’ by Mahmoud Darwich, Mohsen Amini Salehi, Ege Beyazit and Magdy Bayoumi published in The Computer Journal, Volume 62, Issue 5, May 2019, explores a range of models to make streaming faster and lower cost.