Reviewerly/exHarmony huggingface dataset:
Abstract No. 506 Holographic visualization for performance of percutaneous ablation of solid liver tumors: from development, to bench testing, to first-in-human evaluation

Currently, 2D screens are used for image guidance of percutaneous ablation of solid tumors, an inherently 3D task. This can lead to inaccurate ablation probe placement which can cause inadequate treatment and subsequent tumor recurrence, among other complications. The purpose of our project was to develop and evaluate true 3D holographic guidance for PTA (“3D HPA”) from bench to first-in-human clinical evaluation, and analyze its potential to increase ablation accuracy and usability. We developed a 3D HPA prototype with our augmented-reality (AR) platform for medical applications. Holograms of the patient’s anatomy and of mini-GPS-tracked ablation probes were registered and projected directly onto the operative site with HoloLens (Microsoft, WA, USA), an untethered, head-mounted display for AR. Probe placement accuracy was first assessed on the bench by targeting 1-cm-diameter spherical simulated tumors in an anthropomorphic phantom. Next, early in vivo feasibility was evaluated in an IRB-approved clinical study while adhering to current standard of care. HoloLens video captures were recorded and reviewed from this first-in-human evaluation to analyze accuracy. During bench testing using 3D HPA, the probe tip was placed accurately within 9/9 target spheres located at depths ranging from 3 to 15 cm within the phantom. Our first attempt in vivo was also successful, as defined by placement of the ablation probe within the tumor in the location targeted by the clinician. Initial testing with our 3D HPA prototype demonstrated accurate placement of ablation probes in both phantom and in vivo settings, supporting its potential to improve accuracy of percutaneous tumor ablation, which could lead to better-quality patient care as well as potential benefits for the global health care system. Further evaluation of 3D HPA and development of applications for use of holographic visualization in other types of procedures is ongoing.
The Impact of Electrified Railway on Oil Depot by Military Railway

Railway electrification transformation brought us transport efficiency, due to its high pressure, strong electromagnetic radiation characteristics also give the military oil depot brings great danger risk. The paper analysis the impact of electrified railway on oil depot by special military railway from the main line electrification, the military Line electrification, the length of special military railway, position, earth conductivity and the potential difference between earth and railway six respects. To provide a basis for doing the protection of the depot electrification project.
Correction to: Formalizing Natural Languages with NooJ 2018 and Its Natural Language Processing Applications

In the original version of the book, The given name and family name of the first editor was tagged incorrectly. It has been corrected.
A New Discrete Wavelet Transform Algorithm Based on Frame Theory and Its Application to Brain MRI Segmentation

Automated brain tumor detection from MRI images is a very challenging job in today's modern medical imaging research. MRI is used to take image of soft tissues of human body. It is very helpful for analyzing human organs without surgical intervention. For automatic detection of tumor, segmentation of brain image is required. Segmentation partitions the image into distinct regions based on various parameters. It is the most important and challenging area of computer aided clinical diagnostic tools. Although Conventional segmentation approaches are computationally efficient, but have low quality of edge and feature detection. Here, we propose an algorithm on frame theoretic methods and the discrete wavelet transform and apply it to brain MRIs. Significant gains in performance are observed over conventional segmentation algorithms.
Research Guides: Open Collections: Home

This guide contains a list of open collections. It is intended to aid Digital Scholarship Summer Fellowship applicants as they formulate a research question.
#SociallyAcceptableHCI: Social Acceptability of Emerging Technologies and Novel Interaction Paradigms

The spread of information and communication technologies (ICTs) in all aspects of our lives increases the range and scale of potential issues with social acceptance. In the HCI community there is a growing interest and recognition of social acceptability issues with emerging technologies and novel interaction paradigms. This workshop builds on the success of the CHI 2018 workshop on social acceptability by bringing together academics and practitioners to discuss what social acceptance and acceptability mean in the context of various emerging technologies and modern human-computer interaction. We aim to bring the concept of social acceptability in line with the current technology landscape, as well as to identify relevant research steps for making it more useful, actionable and researchable with well-operationalized metrics. The intended outcome of the workshop is two-fold: first, we will continue the efforts to provide an actionable conceptualization of social acceptability in HCI. Second, we will start a collection of best practices and practical examples to be brought together as a continuously updated “case book” of social acceptability in HCI.
Asynchronous Instruction using HyperDocs [Slides]

Slides from a webinar for the North Carolina Library Association's Distance Learning Section Webinar Wednesdays event on April 25, 2018.
Availability modelling and assurance for a big data computing

This paper proposes a new analytical model to evaluate the availability of a big data computing, namely, map-reduce computing on a Hadoop platform. Map-reduce computing is represented by a queueing model in this work in order to trace flow of tasks (either map or reduce) of their arrivals and exits in the course of computation. The objective of the model is to evaluate the probability for a map-reduce computation to be available at an instance of time, referred to as availability. The set of variables taken into account in this model lists the number of map and reduce tasks, the number of servers (or referred to as nodes in this paper) engaged, along with a few constants such as task arrival/exit rates and node failure/repair rates. The proposed model provides a comprehensive yet fundamental basis to assure and ultimately optimise the design of map-reduce computing in terms of availability with reference to its performance in a simultaneous manner. Parametric simulations have been conducted and demonstrated the efficacy of the proposed model in assessing the availability and the cost.
The .NET Framework

The Microsoft .NET Framework is the official name of the group of technologies and tools designed and implemented based on the Common Language Infrastructure (CLI) specification. This chapter describes the architectural and engineering resources available in any implementation of the .NET Framework on any platform.
Disclosable Restructuring Paper - Global Partnership for Education - Balochistan Education Project - P144454

The objective of the Global Partnership for Education - Balochistan Education Project is to increase school enrollment and retention in project supported schools, with a special focus on girls and rsquo; participation, and to develop mechanisms for information collection and use for improved management of education. The Education Department of Balochistan has requested an extension of the closing date of the project by three additional months, until June 30, 2019, in order to complete activities currently under implementation and to accommodate exchange rate gains accrued during the last disbursement (approximately 3.8 percent in that disbursement, and 6.2 percent for the entire project). The project has disbursed all grant proceeds but requires additional time to finalize school construction and other activities given the challenges presented on the ground (e.g. security concerns in certain areas, remoteness, change of leadership of project staff and Education department). The only proposed change to this project at this time is an extension of the closing date until 30-Jun-2019; the current closing date is 30-Mar-2019. The project is in compliance with audit reporting requirements and monitoring and evaluation reports. The restructuring does not include any revisions to the project’s development objectives (PDO).
Pengajaran sastra bahasa Jerman bagi pemula

German currently is one of the foreign language that has become part of the education curriculum in Indonesia and have taught on the level of education high school (HIGH SCHOOL) until at College. German learning objectives in Indonesia is so that students have a basic ability in speaking skills to communicate in simple German including the literary and cultural study. This is in accordance with the curriculum of language competence in German basically such as the students expected to compile oral and write simple texts in accordance with the linguistic and cultural elements found in the literature. Teaching language literature Germany were combined into four language skills among others in the skills of reading, listening, reading and writing are also included in the learning of grammar, and vocabulary as well. The problems facing German in the field of language teachers is the average they had never taught their students to German literature. Therefore, the activities of this community Partnership Program they are given training in the teaching of German literary. In the activities of this community partnership program that involved Germany language teachers are included in the bond of language teachers (IGBJI) German Indonesia Makassar branch as much as 13 people. The material provided on the Community Partnership Program is teaching language literature Germany. Literary works in question are: Liedtext, Gedicht, Visuelles Sprachspiel, BildSprach-Spiel, Kurze Geschichte, etc. The teacher looks very enthusiastic and motivated to follow this training.
Corporate Social Responsibility and Non-Financial Organizational Performance in Etisalat Telecommunication Company United Arab Emirates

The paper examined corporate social responsibility (CSR) and non---financial organizational performance in Etisalat telecommunication company United Arab Emirates.It views CSR as corporate activities that contribute to stakeholders' wellbeing.It assumes that stakeholder--oriented CSR would improve non---financial organizational performance.The research question explores the relationship between stakeholder---oriented CSR and improved corporate image/reputation and enhanced products competitive advantage in Etisalat telecommunication company United Arab Emirates.The place of study consists of all the Etisalat offices in the seven emirates of U.A.E while the duration of study is between January and December 2017.A descriptive research design was used in executing the study, using 385 randomly selected employees of Etisalat in U.A.E, for questionnaire administration.The sample size of 385 was determined from a population of 10,000 employees consisting of 3,600 locals and 6,400 foreign nationals, using Yamane 1964 sample size determination formula at 5% level of significance for sampling error.Results from the data analysis indicated that significant relationship exists between stakeholder---oriented CSR and improved corporate image/reputation and enhanced products competitive advantage in Etisalat telecommunication company United Arab Emirates and recommends among others: sustenance of the current CSR practices in Etisalat, continuous monitoring of changing expectations of key stakeholders to identify areas of support, continuous consultation with key stakeholders in decision making, continuous review of organizational CSR practices to align with industrial best practices and continuous provision of resources to sustain existing stakeholder---oriented CSR practices.
Concentrated news precedes legislation

News and PoliticsNews coverage can play a crucial role in shaping or reflecting public opinion and legislation. Sheshadri and Singh used machine-learning techniques to analyze 25 years of news articles from the New York Times and the Guardian , along with Google Trends data and U.S. federal legislation outcomes. Prolonged bursts of similarly framed articles were found to precede changes in public perception and new legislation. As an example, the framing around “surveillance” changed in conjunction with an uptick in the word “Snowden,” reflecting a shift in focus from national security to individual liberty. These findings illustrate the critical interplay between news, public attitudes, and new laws.Sci. Adv. 10.1126/sciadv.aat8296 (2019).
Training needs of agricultural scientists in electronic environment: A study

This article is based on an extensive study that investigated the information seeking behaviour of agricultural scientists at the ICAR establishments of North-Western India in the electronic environment. The characteristics of electronic environment have an advantage over print environment, and have paved way for effecting changes in the traditional formats of information, emergence of new formats, as well as formulation of new models for dissemination of information. But this machine-dependent environment also has certain challenges such as internet speed, lack of training, high cost, etc. Those agricultural scientists who have used print sources during the major part of their research and professional career have to face difficulties even in respect of the basic aspects of this new information environment due to their being long accustomed to the old models of information and their apathetic attitude to the new environment. Imparting necessary training regarding information skills goes a long way in creating awareness and proper utilization of the products and services of the new information environment. This paper highlights the difficulties faced by agricultural scientists in practising electronic information sources and services to seek information which they require to meet their varied information needs. Further, the paper highlights the training aspects of agricultural scientists such as training needs, duration and the areas where they feel it necessary to upgrade their skills through training programmes
Review of W. Heinrich and R. Abart (eds.) (2017): Mineral reaction kinetics: microstructures, textures, chemical and isotope signatures. EMU Notes in Mineralogy, 16

As a geochemist, specialist in fluid-rock interactions, I have undertaken the task of reviewing this book from the perspective of a nonspecialist, with the exception of chapters dealing with aqueous solution and mineral or glass alteration which is within my speciality.My review should be considered the opinion of a general scientist who wants to learn more about mineral transformations from a kinetic and thermodynamic point of view.The reader should be aware that this
Weighted Integral of Infinitely Differentiable Multivariate Functions is Exponentially Convergent

We study the problem of a weighted integral of infinitely differentiable multivariate functions defined on the unit cube with the L ∞ -norm of partial derivative of all orders bounded by 1.We consider the algorithms that use finitely many function values as information (called standard information).On the one hand, we obtained that the interpolatory quadratures based on the extended Chebyshev nodes of the second kind have almost the same quadrature weights.On the other hand, by using the Smolyak algorithm with the above interpolatory quadratures, we proved that the weighted integral problem is of exponential convergence in the worst case setting.
VIRTUAL REALITY AND PROBLEM-BASED LEARNING IN STEM

In the last decade, virtual reality (VR) has seen dramatic advances that have allowed VR technology to become integrated in business, education, and homes around the world. Immersive virtual reality (IVR) employs headsets and computer software to create an artificial environment containing three-dimensional images in which the user perceives full immersion. Individual virtual reality accessory devices allow the user to interact with the computer-generated environment and manipulate objects within the virtual setting. Immersive virtual reality is a mainstay in the gaming industry, with many new virtual reality games being released each month on multiple gaming systems. Gradually, the education research literature is accumulating evidence on the positive effects of the use of virtual reality technologies in educational settings with science, technology, engineering, and mathematics (STEM) disciplines and special education leading the way. Widespread usage of virtual reality in STEM must involve the development of readily accessible virtual reality subject-specific software and clear pedagogical plans and measurement systems designed to ensure fulfillment of virtual reality-based objectives (VROs) in the laboratory and classroom. A fusion of inquiry-focused learning strategies such as problem-based learning and virtual reality modules will improve virtual reality usage and student outcomes. Exploration of problem-based learning, potential uses, and limitations of virtual reality technology as well as the health hazards associated with integrating immersive virtual reality in STEM courses will be highlighted. The references provide a poignant starting point for interested educational researchers and STEM faculty.
Distributed Big Data Modeling Research

This paper focuses on how to better build a model from resource aggregation to analytics mining in mainstream cloud computing and big data. Distributed Big Data Analysis Modeling Research, provide high reliability, high security and high efficiency services in analysis and judgement for various intelligence analysis and intelligent decision-making.
Tickets now on sale for CSI Portsmouth 2012

Tickets on sale CSI Portsmouth where crime fiction meets crime fact in two lively panel debates featuring top crime authors police and crime experts.
Enriching Courses on Computers and Society and Computer Ethics

We shall discuss ways of enriching courses on Computers and Society and Computer Ethics to better engage and stimulate students, including those from Computer Science as well as other disciplines. This topic is significant because society is experiencing increasing stress due to data breaches, privacy invasions, fake news, election hacking, corporate concentration with increased power by a few dominant high-tech firms; and recent advances in AI. Based upon participant interest, we shall discuss and share experiences dealing with issues such as: 1) prerequisites, 2) kinds of assignments and projects; 3) teaching materials including media; 4) the mix of individual and group assignments; 5) how to handle the increasing numbers of desirable topics; 6) how much of the course to focus on AI; 7) methods of teaching ethics; 8) level at which to teach the course, including use in secondary schools; 9) differences between CS courses and general education courses; 10) integration with other CS courses; 11) follow-on options for students wanting to learn more. BOF attendees will be able to hear multiple viewpoints and connect with other people in similar situations, so they can share resources and techniques for teaching such courses. The audience is expected to consist of professors and lecturers who teach, are planning to, or are considering teaching such courses.
Timbul Tenggelam Perlawanan dalam Novel Dewasa Muda (Young Adult)

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REPRESENTASI KEKUASAAN DALAM WACANA KELAS DI SEKOLAH MENENGAH PERTAMA

The Representation of Power in Classroom Discourse in Junior High School. This research describes power representation in classroom discourse. A qualitative approach was used in the research. It was classified into critical situation analysis. The data were collected through (1) observation, (2) recording, and (3) field notes. The data were analyzed through Miles and Huberman mode. The results indicate that there is an authority representation in the class situation at the school, namely; (1) representation formed authority in a class situation, (2) representation of authority strategy in a class situation, and (3) representation of authority function in the class situation. The results of authority form cover forms (a) command, (b) request, (c) prohibition, and (d) suggestion. The result of authority strategy cover forms: (a) control speech, (b) use threat, (c) give the tricky question, (d) be angry/pretend to be angry. Moreover, on authority function cover forms; (a) control learning process, (b) force, (c) trusted, and (d) respected.
The Venice Experience: A Case Study of the Connection between Language and Situated Cognition

In this chapter we analyse some Swedish travellers’ depiction of their visits to Venice to convey their experiences and impressions. Their narratives are used as a valuable empirical data for studies of situated cognition in terms of affordance and embodiment. The conclusion of the study is that metaphoricity is one of the most important tools and in the case of a genre such as travel narrative it is all the more prominent since the purpose is to depict the characteristics and the experiences of a new place. The issue of genre development is beyond the scope of this chapter, but how the use of metaphoricity can have changed over time is an area worth pursuing. There is for example a clear difference between Adlerbeth’s concise, informed formulations, and Beskow’s trancelike state and escapisms, and Strindberg’s photographic observations and complex analogies of industrial materials and modern consumption.
Generation of relation-extraction-rules based on Markov logic network for document classification

With the exponential growth of web resources and the higher dimensionality of documents makes the automated text classification task a huge challenge for the data mining research community.Text classification finds a variety of applications including news filtering and organization, document organization and retrieval, information extraction, opinion mining and sentiment analysis, e-mail classification and spam filtering [1].Assigning text documents to predefined classes of documents online, is considered as an effective approach of finding useful information from numerous online text repositories.Once the documents are categorized into their respective classes representing different domains, the gathering of knowledge can be further improved by extracting information that is very specific to the domain.