Miracle-dz/UniFAR-FTUs huggingface dataset:
Prognostic Factors of Hilar Cholangiocarcinoma Patients After Surgical Resection

Background Hilar cholangiocarcinoma (HC) is one of the most common malignancies in China with poor prognosis and its incidence rate is increasing. Surgical resection is the most possible curative treatment option. However, comprehensive knowledge of prognostic markers is less or not accurate. So, the aim of this study was to analyze the prognostic factors in the surgical resection of HC patients. Methods A retrospective analysis of 85 cases of HC patients attending our hospital between January 2014 and December 2018 were included in the study. The patients diagnosed as HC and treated with radical surgery were included.Excluded the patients undergoing non-radical surgery, with tumors in other organs, with perioperative death,with death not caused by this disease and with lost follow-up.The clinical data were collected from the Hospital Information System.The patients was follow-up history at July 2019.The end point was that the patient died of recurrence of HC. Cox proportional hazards model analysis was performed to identify indexes of prognosis. All indicators were analyzed by univariate and multivariate analysis. Results The significantly related prognostic factors are imaging staging,blood loss during surgery, lymphatic metastasis, tumor size, Tumor Node Metastasis(TNM) stage, surgical margin and level of carbohydrate antigen 19–9(CA19-9) in blood. Among them, TNM stage, surgical margin and level of CA19-9 in blood are independent prognostic factors. Conclusions Good prognosis in HC patients is indicated by early stages of TNM staging, no resection margin invaded and low level of CA19-9.
Automatic real-time fault detection for industrial assets using metasensors

Large-scale industrial plants require physical sensors to continuously measure quantities such as temperatures or pressures. A large number of sensors is required to accurately describe the operating state of the plant, which unfortunately makes it very difficult for them to be effectively monitored by human operators. In this work we present a method to construct so-called metasensors, virtual sensors that compress the information from several sensors in an optimal manner. These metasensors are used as inputs to a novel anomaly detection system that automatically alerts operators to abnormal operation behaviour.
Crying with a Patient: A Pilot Study of the Attitudes of Physicians and Physicians-in-Training

Abstract:Physicians are taught to maintain emotional distance. However, limited research suggests that many have cried in the hospital setting. How physicians understand and manage their emotions is an understudied topic, and public displays of emotion are not adequately addressed in medical education. To better understand physician and trainee views about displaying emotion in front of patients, we conducted a mixed-methods study using vignettes, closed-, and open-ended questions to explore the current attitudes of medical students, residents, and physicians at one academic medical center regarding whether or not it is appropriate for a physician to cry with a patient. Quantitative analyses investigated the effects that vignette constructs, level of training, gender, and history of crying at work within the last six months had on respondents' opinions regarding the appropriateness of physicians crying. An open-ended question, "Describe a situation in the hospital during which you felt like crying," was analyzed for key themes.
Development of an accurate transmission line fault locator using the global positioning system satellites

A highly accurate transmission line fault locator based on the traveling-wave principle was developed and successfully operated within B.C. Hydro. A transmission line fault produces a fast-risetime traveling wave at the fault point which propagates along the transmission line. This fault locator system consists of traveling wave detectors located at key substations which detect and time tag the leading edge of the fault-generated traveling wave as if passes through. A master station gathers the time-tagged information from the remote detectors and determines the location of the fault. Precise time is a key element to the success of this system. This fault locator system derives its timing from the Global Positioning System (GPS) satellites. System tests confirmed the accuracy of locating faults to within the design objective of +/-300 meters.
POLÍTICA PARA AVALIAÇÃO E SUBSTITUIÇÃO DE FROTA POR MEIO DA ADOÇÃO DE MODELO MULTICRITÉRIO

The efficient management of companies fixed assets has become a key issue to ensure stability on highly competitive markets. In urban transportation companies, these fixed assets represent a major share of the companys property and impact on the service level. This demands an efficient policy to evaluate fleet performance and replacement. This paper proposes a methodology for fleet evaluation and replacement by integrating economic and non-economic criteria. Economic aspects are evaluated by means of economic indices and cash flow of costs associated to acquisition and maintenance. Non-economic aspects are evaluated by strategic and operational attributes, and rely on multicriteria analysis tools. The proposed methodology allows performance comparison between current and alternative buses, enabling asset monitoring and assuring efficient service level. The methodology is illustrated in an urban public transportation company.
Faculty of Informatics

With the recent expansion of the mobile industry, applications for mobile devices are quickly becoming more complex, empowering people to perform more advanced tasks. However, current mobile user interfaces introduce several challenges, such as direct manipulation, gesture control, solely visual feedback, or limited screen size. These factors affect the learnability of mobile applications. The primary objective of this research project is to investigate how people learn to use mobile applications and how this process can be supported. This needs to be done so that people can perceive the value of the application, accomplish basic tasks and gradually learn new features in a natural way. A pilot study will consist of observation of users' behavior in the context of skill acquisition within mobile user interfaces. Patterns in users' behavior and links between behavior and background information will be investigated. It is anticipated that the study will demonstrate the correlation between learning strategies and personal information about users. The results of this study will aid in creating learning profiles of representative user groups. Further examination of these profiles should lead to the design of support mechanisms that will encourage various types of application learners in the process of continuous learning of mobile applications.
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling

From the Publisher: The latest edition of the single most authoritative guide on dimensional modeling for data warehousing! Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimballs classic guide is more than sixty percent updated. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts. Author Biography: Ralph KimbalL, PhD, has been a leading visionary in the data warehouse industry since 1982 and is one of todays most well- known speakers, consultants, and teachers. He writes the "Data Warehouse Designer" column for Intelligent Enterprise magazine and is also the author of the bestselling books The Data Warehouse Lifecycle Toolkit and The Data Webhouse Toolkit (both from Wiley). Margy Ross is President of DecisionWorks Consulting and a Ralph Kimball Associate. She has focused exclusively on decision support and data warehousing since 1982. Margy coauthored the highly acclaimed The Data Warehouse Lifecycle Toolkit, consults on data warehouse projects worldwide, and teaches data warehouse design for Kimball University.
ClockBoard: a zoning system for urban analysis

Zones are the building blocks of urban analysis. Fields ranging from demographics to transport planning routinely use zones — spatially contiguous areal units that break-up continuous space into discrete chunks — as the foundation for diverse analysis techniques. Key methods such as origin-destination analysis and choropleth mapping rely on zones with appropriate sizes, shapes and coverage. However, existing zoning systems are sub-optimal in many urban analysis contexts, for three main reasons: 1) available administrative zoning systems are often based on somewhat arbitrary factors; 2) evidence-based zoning systems are often highly variable in size and shape, reducing their utility for inter-city comparison; and 3) official zoning systems are non-existent, not publicly available, or are too coarse, hindering urban analysis in many places, especially in low income nations. To tackle these three key issues we developed a flexible, open and scalable solution: the ClockBoard zoning system. ClockBoard consists of 12 segments divided by concentric rings of increasing distance, creating a consistent visual frame of reference for cities that is reminiscent of a clock and a dartboard. This paper outlines the design, potential uses and merits of the ClockBoard zoning system and discusses future avenues for research and development of new zoning systems based on the experience.
Building a conversational framework for e-learning to support the future implementation of learning technologies.

The use of smart technologies and social media by staff and students in and out of the classroom has implications for academic practice in post-compulsory education. Unlike previous eras of learning with technology, change is being led by the students and academics themselves and this establishes a challenge to institutions. This shift demands that we reassess our understanding of formal and informal engagement, the physical and virtual environments we use, and the people we involve. Smart Learning: teaching and learning with smartphones and tablets in post compulsory education observes how personal smart technology, social media, rich digital media as well as ideas about open learning work together to form a new immersive and interactive space for learning. The Smart Learning book is a product of the Media-Enhanced Learning Special Interest Group (MELSIG) which has considered the opportunities and challenges afforded by new media in developing a forward looking Digital Age, learner-centred view of academia since 2008. MELSIG is a self-driven association fascinated and excited by thinking differently, reflectively and critically. Working informally across UK post-compulsory education around special foci, the group runs sharing and developing practice events and webinars, as well as organising collective research and writing activities about academic innovation with digital and social media. Smart Learning is made up of thought pieces, research chapters and case studies. It is punctuated with scenario vignettes, making real this new thinking about learning with personal smart devices.
Massive PTE Following an Elective Arthroscopic Meniscal Repair: A Case Report and Literature Review

Venous Thromboembolism (VTE) is an unusual complication after arthroscopic meniscus surgery. There is no consensus for anticoagulant therapy following routine arthroscopic meniscus surgery. Here we present a case of near-fatal pulmonary thromboembolism after an elective arthroscopic meniscus repair.
Social impacts of peer-to-peer energy trading: a rapid realist review protocol

This document outlines our approach to conducting a rapid realist review to identify evidence for potential impacts on people and society of peer-to-peer energy trading (and of distributed ledger technology used in this context). Our motivation for the study is to help anticipate who might stand to win or lose (and how and why), inform policy/regulation to help maximize benefits and minimize harm, and identify research gaps. While our focus is in the energy sector, we also plan to draw on evidence (where relevant) from examples of sharing economy models in non-energy sectors. We have already developed and engaged around a provisional programme theory (presented as a set of Context-Mechanism-Outcome statements), which we will develop as the review progresses. We set out where and how we will seek to identify evidence (through online searching, reference checking and calling for evidence). In line with our exploratory and iterative approach, we propose broad inclusion criteria. We will assess evidence quality subjectively on the basis of relevance and rigour for each Context-Mechanism-Outcome group, not at document level. Synthesis will be achieved through developing our programme theory and connecting evidence to it. We will disseminate findings through an academic paper (or papers), one or more policy briefings (with associated engagement events), one or more public blogs, and materials will be openly shared on an ongoing basis through an Open Science Framework page.
Leveraging social media induced visual culture for body image enhancement: The case of socialization in a contemporary society

There are a variety of mediums through which the phenomenon of socialization is elicited. One of such means is social media platforms. But benefiting from this medium is dependent on the attribute of being technologically savvy intergenerational dynamics notwithstanding. This mixed methods study investigates the influence of social media on cultural connotations of socialization and body image enhancement, and how they shape changes in appearances. Use was made of survey [n=361] data to explore social media dynamics in relation to the process of socialization, while the interview [n=10] data explicated the issues raised in the frame of cross-sectional design. Bivariate and thematic analyzes were respectively conducted. The findings indicate that intergenerational outcomes of the uses of social media between younger and older people is skewed towards younger people and the inherent gap therefore pertains. The Cramer’s V test value of . 612 intimates a strong association between social media’s visual images and the type of body image enhancement undertaken. This has implications for technological literacy among older Ghanaian adults. The culture of body image enhancement is learned and therefore has been learned through social media induced socialization by virtue of social media’s oriented social interaction. Put differently, this form of socialization unleashes the availability, accessibility and exposure to certain images that precipitate a desired need for transformation of an existing body image. By and large, culture is created and transmitted from generation to generation. This paper offers newer insights into the phenomenon of socialization and the attendant lifestyle change nemesis, outlining the fact that the effects of social media imagery in both text and visual images is socialization.
Researching for the future

It may describe itself as "a global infrastructure, finance and media company. " but with interests from everyday light bulbs to fuel cell technology, and from carbon composites to cleaner, more efficient jet engines, General Electric Company (GE) knows that it can't succeed without also investing in research and development - including long- term research. The paper presents the efforts of GE's global research center which is committed not only for product lines' advanced technologies but also finding ways to alternative energy and environmental technologies.
Alcohol-Related Risks for Slovene Secondary School Students on Graduation Trips: Ten Years Later

The purpose of the research was to study the characteristics of risky alcohol use and alcohol-related risky behaviour of Slovene secondary school students attending graduation trips in the period of ten years (in 2007 and in 2017). We used the questionnaire from the first research study which we modified with questions addressing sexual behaviour of adolescents. The final sample included 371 students of the last years of secondary school (44.9% of boys and 55.1% of girls, the mean age was 17.8 years) attending graduation trips. The sample was unrepresentative and based on self-selection. Both research studies gave comparable results in the categories of alcohol use and risky alcohol use before the trip. The most notable increase was seen in the categories of lifetime prevalence and frequency of use of marijuana. The most common alcohol-related risks remain property damage, accidents, and issues arising from relations with friends. In addition to that, the following categories stand out: sharing embarrassing photos via social media, establishing sexual contacts which would not take place if sober, and unwanted sexual experiences. Almost half of them consumed alcohol before the last sexual intercourse. In the last decade, graduation trips have retained the status of specific environments, in which, compared with the period before the trip, the use of alcohol is characterised by greater risks for a higher percentage of adolescents. Given the results, the recommendations focus on interventions aimed at reducing specific risks related to the use of alcohol on graduation trips.
Utilising nuclear energy for low carbon heating services in the UK

If new build nuclear reactors are built in the UK they will provide a large low carbon thermal resource that can be recovered for heating services through heat networks (district heating). There are however questions about the geographic location of nuclear sites relative to heating demand and public/user interpretations of a potentially controversial technology to consider. This thesis includes three research themes that explore these issues. The first is an assessment of potential non-technical barriers to nuclear heat network development. The second is a focus group approach to studying local resident responses to nuclear heat network technology both as potential users, and as public groups. The third theme considers the technical potential for a heat network connecting the Hartlepool nuclear site to local heating demand centres. The research finds that there is potential for nuclear heat networks to take 70,000 existing users off the natural gas in the Hartlepool area. Following series of expert interviews it finds no non-technical barriers that would be unique to nuclear heat networks as opposed to other heat network types. It also suggests that the technology could be acceptable to local residents if it is framed as a local resource that benefits the local area. These findings indicate that there could be similar potential at Heysham and Oldbury nuclear sites.
Automation and Multiple UA Control

This paper presents the results of an initial experiment examining the effects of different automation strategies on workload, situation awareness and operator performance while supervising multiple unmanned aircraft. The experiment was conducted on an unmanned aircraft system operator interface simulation testbed designed for a team of operators to supervise up to four unmanned aircraft. It was shown that two operators could successfully conduct a simulated mission using up to four aircraft to search for and identify ground targets. Increasing the amount of aircraft did not significantly influence situation awareness or operator performance. While adding additional aircraft did increase workload, providing automation for system failure diagnosis did not significantly decrease subjective ratings of workload.
Opportunities for radio frequency nanoelectronic integrated circuits using carbon-based technologies

This thesis presents a body of work on the modeling of and performance predictions for carbon nanotube field-effect transistors (CNFET) and graphene field-effect transistors (GFET). While conventional silicon-based CMOS is expected to reach its ultimate scaling limits during the next decade, these two novel technologies are promising candidates for future high-performance electronics. The main goal of this work is to investigate on the opportunities of using such carbon-based electronics for RF integrated circuits. This thesis addresses 1) the modeling of noise and process variability in CNFETs, 2) RF performance predictions for CNFETs, and 3) an accurate GFET compact model. This work proposes the first CNFET noise compact model. Noise is of primary importance for RF applications and its description significantly increases the insight gained from simulation studies. Furthermore, a CNFET variability model is presented, which handles tube synthesis and metal tube removal imperfections. These two model extensions have been added to the Stanford CNFET compact model and allow for the variability-aware RF performance assessment of the CNFET technology. In continuation, comprehensive RF performance projections for CNFETs are provided both on the device and circuit level. The overall set of ITRS RF-CMOS technology requirement FoMs is determined and shows that the CNFET performs excellently in terms of speed, gain, and minimum noise figure. Furthermore, for the first time FoMs are reported for the basic RF building blocks low-noise amplifier and oscillator. In addition, it is shown that CNFET downscaling yields significant performance improvements. Based on these analyses it is confirmed that the CNFET has the potential to outperform Si-CMOS in RF applications. A third key contribution of this thesis is the development of an accurate GFET compact model. Previous compact models simplify several physical aspects, which can cause erroneous simulation results. Here, an accurate yet simple mathematical description of the GFET’s current-voltage relation is proposed and implemented in Verilog-A. Comprehensive error analyses are done in order to highlight the advantages of the new approach. Furthermore, the model is verified against measurement results. The developed GFET model is an important step towards better understanding the characteristics and opportunities of graphene-based analog circuitry.
Prediction of cow fertility based on productivity traits in dairy cattle under different production systems

IX PUBLICATIONS . XI TABLE OF CONTENTS . XII CHAPTER 1: GENERAL INTRODUCTION . 1 1.1 FERTILITY AND DAIRY PRODUCTION SYSTEMS. 2 1.2 FERTILITY AND OTHER PRODUCTION FACTORS . 3 1.3 RESEARCH APPROACH . 4 1.4 OBJECTIVES . 5 1.4. 1 General Objective . 5 1.4. 2 Specific Objectives . 5 CHAPTER 2: LITERATURE REVIEW . 6 2.