LLukas22/scidocs huggingface dataset:
Processing of Electronic Health Records using Deep Learning: A review

Background. Availability of large amount of clinical data is opening up new research avenues in a number of fields. An exciting field in this respect is healthcare, where secondary use of healthcare data is beginning to revolutionize healthcare. Except for availability of Big Data, both medical data from healthcare institutions (such as EMR data) and data generated from health and wellbeing devices (such as personal trackers), a significant contribution to this trend is also being made by recent advances on machine learning, specifically deep learning algorithms. Objectives. The objective of this work was to provide an overview of how automatic processing of Electronic Medical Records (EMR) data using Deep Learning techniques is contributing to understating of evolution of chronic diseases and prediction of risk of developing these diseases and associated complications. Methods. A review of the scientific literature was conducted using scientific databases Google Scholar, PubMed, IEEE, and ACM. Searches were focused on publications containing terms related to both Electronic Medical Records and Deep Learning and their synonyms. Results. The review has shown that a number of studies have reported results that provide unprecedented insights into chronic diseases through the use of deep learning methods to analyze EMR data. However, a major roadblock that may limit how effectively these paradigms can be utilized and adopted into clinical practice is in the interpretability of these models by medical professionals for whom many of them are
A low-power high-gain LNA for the 60 GHz band in a 65 nm CMOS technology

One essential building block for integrated 60 GHz CMOS radio transceivers is the low noise amplifier (LNA). This paper presents a two-stage cascode LNA fabricated in the 65nm bulk CMOS technology of ST Microelectronics. It occupies 0.4mm × 0.4mm die area (pad-limited). For the matching networks, lumped elements are employed exclusively. It can be biased using two different supply voltages: When using 1.5V, a peak gain of 22.4 dB and an output-referred 1 dB compression point of −3.4 dBm is measured while drawing 11.2mA supply current. The simulated noise figure is 4.5 dB. When using a supply voltage of 1.0V, a peak gain of 18.7 dB and an output-referred 1 dB compression point of −6.5 dBm is measured while drawing 8.5mA supply current. The simulated noise figure is 5.2 dB.
Use of lean and six sigma methodology to improve operating room efficiency in a high-volume tertiary-care academic medical center.

BACKGROUND
Operating rooms (ORs) are resource-intense and costly hospital units. Maximizing OR efficiency is essential to maintaining an economically viable institution. OR efficiency projects often focus on a limited number of ORs or cases. Efforts across an entire OR suite have not been reported. Lean and Six Sigma methodologies were developed in the manufacturing industry to increase efficiency by eliminating non-value-added steps. We applied Lean and Six Sigma methodologies across an entire surgical suite to improve efficiency.


STUDY DESIGN
A multidisciplinary surgical process improvement team constructed a value stream map of the entire surgical process from the decision for surgery to discharge. Each process step was analyzed in 3 domains, ie, personnel, information processed, and time. Multidisciplinary teams addressed 5 work streams to increase value at each step: minimizing volume variation; streamlining the preoperative process; reducing nonoperative time; eliminating redundant information; and promoting employee engagement. Process improvements were implemented sequentially in surgical specialties. Key performance metrics were collected before and after implementation.


RESULTS
Across 3 surgical specialties, process redesign resulted in substantial improvements in on-time starts and reduction in number of cases past 5 pm. Substantial gains were achieved in nonoperative time, staff overtime, and ORs saved. These changes resulted in substantial increases in margin/OR/day.


CONCLUSIONS
Use of Lean and Six Sigma methodologies increased OR efficiency and financial performance across an entire operating suite. Process mapping, leadership support, staff engagement, and sharing performance metrics are keys to enhancing OR efficiency. The performance gains were substantial, sustainable, positive financially, and transferrable to other specialties.
Once a Queen in Narnia: Susan and the Divine in C.S. Lewis’s Chronicles of Narnia

v CHAPTER ONE: INTRODUCTION 1 C.S. Lewis and the ‘Problem of Susan’ 1 The Critical Conversation 5 CHAPTER TWO: READING THE MEDIEVAL SUSAN 9 The Significance of Susan 9 CHAPTER THREE: “IN HIS WILL IS OUR PEACE;” DANTE AND LOVING THE DIVINE 18 Introduction 18 Susan and the Divine Love Relationship 20 Purgatorial Episodes 24 CHAPTER FOUR: A MIDDEL WEI: COURTLY LOVE AS A COMPLEMENT TO THE “REAL RELIGION” 29 Introduction: Allegory and Courtly Love 29 Courtly Love and Divine Love 32 Susan Rejects Her Lover 43 CHAPTER FIVE: DEEPER MAGIC FROM BEFORE THE DAWN OF TIME: NARNIA, MALORY, AND ENCHANTRESSES 5
M2849 - ATHANASSIOU 9781849802789 PRINT.indd

John Adams, Associate, Shearman & Sterling LLP, US. Phoebus Athanassiou, PhD, Senior Legal Counsel, European Central Bank, Germany. Alon Brav, Professor of Finance, Duke University, Fuqua School of Business, US. Thomas Bullman, Senior Compliance Manager at Legal & General Investment Management Ltd, UK. Ludwig Chincarini, Academic Council of IndexIQ. Dilip K. Das, PhD, Professor of International Econom ics and International Finance, Director, The Institute of Asian Business, SolBridge International School of Business, Woosong University, Daejeon, Republic of Korea. Alex Erskine, Chief Economist, Australian Securities and Investments Commission, Australia. Felix Goltz, Senior Research Engineer, EDHEC Business School, Nice, France. Nathan Greene, Partner, Shearman & Sterling LLP, US. Andrea Hankova, Senior Hedge Fund Analyst, Kedge Capital (Suisse) S.A., Switzerland. David Harrison, Associate, Bond Pearce LLP, UK. Wei Jiang, Associate Professor of Finance and Economics, Columbia Business School, US. Mark Jickling, Specialist in Financial Economics, Congressional Research Service, US. Hyunseob Kim, PhD Candidate, Duke University, Fuqua School of Business, US. Veronika Krepely Pool, Assistant Professor of Finance, Indiana University Kelley School of Business, US.
Magic Quadrant for IT Event Correlation and Analysis

Gartner’s Magic Quadrant for IT Event Correlation and Analysis (ECA), 2009 (see Figure 1) evaluates vendors’ ability to execute and their completeness of vision relative to a defined set of evaluation criteria regarding current and future market requirements. A Magic Quadrant should not be the only criterion for selecting a vendor, because the right solution for a given situation can be in any quadrant, depending on the specific needs of the enterprise. Enterprises considering the purchase of an ECA product should develop their own list of evaluation criteria and functional requirements in the categories of event collection/ consolidation, processing/correlation and presentation. Large enterprises should consider a multitier event management hierarchy, pushing some event processing and correlation out to the managed IT element at the bottom of the hierarchy. These enterprises should use specialized event management tools in the middle, and should place a “manager of managers” or a business service management (BSM) product on top.
Max algorithms in crowdsourcing environments

Our work investigates the problem of retrieving the maximum item from a set in crowdsourcing environments. We first develop parameterized families of max algorithms, that take as input a set of items and output an item from the set that is believed to be the maximum. Such max algorithms could, for instance, select the best Facebook profile that matches a given person or the best photo that describes a given restaurant. Then, we propose strategies that select appropriate max algorithm parameters. Our framework supports various human error and cost models and we consider many of them for our experiments. We evaluate under many metrics, both analytically and via simulations, the tradeoff between three quantities: (1) quality, (2) monetary cost, and (3) execution time. Also, we provide insights on the effectiveness of the strategies in selecting appropriate max algorithm parameters and guidelines for choosing max algorithms and strategies for each application.
Strategic IT alignment: twenty-five years on

The 'jewel in the crown' from the MIT90s [Management in the 90s] program is undoubtedly the Strategic Alignment Model (SAM) of Henderson and Venkatraman.
A neocentromere on human chromosome 3 without detectable α-satellite DNA forms morphologically normal kinetochores

A neocentromere at 3q26 was observed in a father and his daughter on a chromosome 3 with deleted centromeric region. No α-satellite DNA was detectable at the 3q26 neocentromere, but it was weakly positive with anticentromere (CREST) antibodies. Electron microscopy showed that the neocentromere formed microtubule-associated kinetochores with normal morphology and of the same size as the kinetochores of other large chromosomes. The deleted centromere formed a small linear marker chromosome that reacted strongly with anticentromere antibodies, but showed reduced kinetochore size. The 3q26 neokinetochore was stable under adverse growth conditions, which often caused kinetochore loss in the original 3-centromere on the small marker.
Development of the European Organisation for Research and Treatment of Cancer quality of life questionnaire module for older people with cancer: The EORTC QLQ-ELD15.

BACKGROUND AND AIM
There is a lack of instruments that focus on the specific health-related quality of life (HRQOL) issues that affect older people with cancer. The aim of this study was to develop a HRQOL questionnaire module to supplement the European Organisation for Research and Treatment of Cancer (EORTC) core questionnaire, the EORTC QLQ-C30 for older (>70years) patients with cancer.


METHODS
Phases 1-3 were conducted in seven countries following modified EORTC Quality of Life Group guidelines for module development. Phase 1: potentially relevant issues were identified by a systematic literature review, a questionnaire survey of 17 multi-disciplinary health professionals and two rounds of qualitative interviews. The first round included 9 patients aged >70. The second round was a comparative series of interviews with 49 patients >70years with a range of cancer diagnoses and 40 patients aged 50-69years matched for gender and disease site. In Phase 2 the issues were formulated into a long provisional item list. This was administered in Phase 3 together with the QLQ-C30 to two further groups of cancer patients aged >70 (n=97) or 50-69years (n=85) to determine the importance, relevance and acceptability of each item. Redundant and duplicate items were removed; issues specific to the older group were selected for the final questionnaire.


RESULTS
In Phase 1, 75 issues were identified. These were reduced in Phase 2 to create a 45 item provisional list. Phase 3 testing of the provisional list led to the selection of 15 items with good range of response, high scores of importance and relevance in the older patients. This resulted in the EORTC QLQ-ELD15, containing five conceptually coherent scales (functional independence, relationships with family and friends, worries about the future, autonomy and burden of illness).


CONCLUSION
The EORTC QLQ-ELD15 in combination with the EORTC QLQ-C30 is ready for large-scale validation studies, and will assess HRQOL issues of most relevance and concern for older people with cancer across a wide range of cancer sites and treatment stages.
Effective semantic-based keyword search over relational databases for knowledge discovery

EFFECTIVE SEMANTIC-BASED KEYWORD SEARCH OVER RELATIONAL DATABASES FOR KNOWLEDGE DISCOVERY by
Effects of nedocromil sodium in the treatment of non-allergic subjects with chronic obstructive pulmonary disease.

BACKGROUND
Nedocromil sodium, a nonsteroidal anti-inflammatory drug, is effective in the treatment of asthma. Its efficacy in the treatment of chronic obstructive pulmonary disease (COPD) has not been investigated.


METHODS
Fifty four non-allergic patients with COPD were randomised to 10 weeks of treatment with placebo or nedocromil sodium (4 x 8 mg/day) in a double blind study.


RESULTS
Nedocromil sodium treatment had no effect on airway responsiveness to histamine, methacholine, and adenosine-5'-monophosphate, pulmonary function, and symptom scores. Both patients and clinicians favoured treatment with nedocromil sodium, however, and the number of dropouts (because of exacerbations) was fewer during treatment with the drug.


CONCLUSIONS
Longer trials will be necessary to assess if nedocromil sodium can reduce the frequency of exacerbations and the decrease in pulmonary function, eventually leading to a better quality of life in patients with COPD.
A Hybrid Approach for Ontology-based Information Extraction

Original approval signatures are on file with the University of Oregon Graduate School.
A Taxonomy of Consumer Online Shopping Attitudes and Behavior

The current status of studies of online shopping attitudes and behavior is investigated through an analysis of 35 empirical articles found in nine primary Information Systems (IS) journals and three major IS conference proceedings. A taxonomy is developed based on our analysis. A conceptual model of online shopping is presented and discussed in light of existing empirical studies. Areas for further research are discussed.
Management of Cloud Infastructures: Policy-Based Revenue Optimization

Competition on global markets forces many enterprises to make use of new applications, reduce process times and at the same time cut the costs of their IT-infrastructure. To achieve this, it is necessary to maintain a high degree of flexibility with respect to the IT-infrastructure. Facing this challenge the idea of Cloud computing has been gaining interest lately. Cloud services can be accessed on demand without knowledge of the underlying infrastructure and have already succeeded in helping companies deploy products faster. Using Cloud services the New York Times managed to convert scanned images containing 11 million articles into PDF within 24 hours at a cost of merely 240 US-$. However Cloud providers will only offer their services, if they can realize sufficient benefit. To achieve this, the efficiency of Cloud infrastructure management must be increased. To this end we propose the use of concepts from revenue management and further enhancements.
An evaluation of e-banking and m-banking adoption factors and preference in Malaysia: a case study

This study aims to investigate the factors influencing adoption of electronic banking (e banking) and mobile banking (m-banking) and to identify customer preferences in choosing either e-banking or m-banking when conducting transactions. The findings from 184 customers indicate that perceived usefulness, perceived ease of use, convenience, computer efficacy, device features and security influence the adoption of e-banking. Similar findings are obtained for m-banking adoption, except for mobile phone efficacy and device features. The majority of respondents prefer e-banking to m-banking. The results provide banks with prioritisation of determinants for developing appropriate strategies to encourage the adoption of e-banking and m-banking.
Fault-tolerant relay node placement in wireless sensor networks: formulation and approximation

A two-tiered network model has been proposed for prolonging lifetime and improving scalability in wireless sensor networks (Gupta, G. and Younis, M., Proc. IEEE WCNC'03, p.1579-84, 2003; Proc. IEEE ICC'03, p.1848-52, 2003). This two-tiered network is a cluster-based network. Relay nodes are placed in the playing field to act as cluster heads and to form a connected topology for data transmission in the higher tier. They are able to fuse data packets from sensor nodes in their clusters and send them to sinks through wireless multi-hop paths. However, this model is not fault-tolerant as the network may be disconnected if a relay node fails. We formulate and study a fault-tolerant relay node placement problem in wireless sensor networks. In this problem, we want to place a minimum number of relay nodes in the playing field of a sensor network such that (1) each sensor node can communicate with at least two relay nodes and (2) the relay node network is 2-connected. We present a polynomial time approximation algorithm for this problem and prove the worst-case performance given by our algorithm is bounded within O(D log n) times of the size of an optimal solution, where n is the number of sensor nodes in the network, D is the (2, 1) diameter of the network formed by a sufficient set of possible positions for relay nodes.
Prevalence of sensitization to Anisakis simplex among professionally exposed populations in Sicily.

Anisakis simplex (AS) is a cause of allergic sensitization and potential occupational risk is suggested in fishermen and workers assigned to fish processing and sale. A cross-sectional study was conducted in order to assess possible health effects of occupational exposure to AS in workers recruited from western Sicily fisheries sector. Social, demographic, and occupation-related data were collected. Serum total immunoglobulin E (IgE) and specific IgE levels to AS (threshold >0.35 kU/L) were determined by an fluoroimmunoassay technique. Ninety-four subjects with potential occupational exposure (fishmongers, fishermen, fish industry employees) were recruited. Specific AS IgEs were detected in 20.2% of the study population. AS IgE seroprevalence was elevated 6.7-fold (p = .03) among fishermen/sailors compared with fish industry workers. The study suggested the importance to adopt specific prevention strategies against exposure to AS in the occupational setting.
Privacy-Preserving Smart Grid Tariff Decisions with Blockchain-Based Smart Contracts

The smart grid changes the way how energy and information are exchanged and offers opportunities for incentive-based load balancing. For instance, customers may shift the time of energy consumption of household appliances in exchange for a cheaper energy tariff. This paves the path towards a full range of modular tariffs and dynamic pricing that incorporate the overall grid capacity as well as individual customer demands. This also allows customers to frequently switch within a variety of tariffs from different utility providers based on individual energy consumption and provision forecasts. For automated tariff decisions it is desirable to have a tool that assists in choosing the optimum tariff based on a prediction of individual energy need and production. However, the revelation of individual load patterns for smart grid applications poses severe privacy threats for customers as analyzed in depth in literature. Similarly, accurate and fine-grained regional load forecasts are sensitive business information of utility providers that are not supposed to be released publicly. This paper extends previous work in the domain of privacy-preserving load profile matching where load profiles from utility providers and load profile forecasts from customers are transformed in a distance-preserving embedding in order to find a matching tariff. The embeddings neither reveal individual contributions of customers, nor those of utility providers. Prior work requires a dedicated entity that needs to be trustworthy at least to some extent for determining the matches. In this paper we propose an adaption of this protocol, where we use blockchains and smart contracts for this matching process, instead. Blockchains are gaining widespread adaption in the smart grid domain as a powerful tool for public commitments and accountable calculations. While the use of a decentralized and trust-free blockchain for this protocol comes at the price of some privacy degradation (for which a mitigation is outlined), this drawback is outweighed for it enables verifiability, reliability and transparency. Fabian Knirsch, Andreas Unterweger, Günther Eibl and Dominik Engel Salzburg University of Applied Sciences, Josef Ressel Center for User-Centric Smart Grid Privacy, Security and Control, Urstein Süd 1, 5412 Puch bei Hallein, Austria. e-mail: fabian.knirsch@
Exhumation of high-pressure metamorphic rocks in a subduction channel : A numerical simulation

[1] High-pressure metamorphic rocks provide evidence that in subduction zones material can return from depths of more than 100 km to the surface. The pressure-temperature paths recorded by these rocks are variable, mostly revealing cooling during decompression, while the time constraints are generally narrow and indicate that the exhumation rates can be on the order of plate velocities. As such, subduction cannot be considered as a single pass process; instead, return flow of a considerable portion of crustal and upper mantle material must be accounted for. Our numerical simulations provide insight into the self-organizing large-scale flow patterns and temperature field of subduction zones, primarily controlled by rheology, phase transformations, fluid budget, and heat transfer, which are all interrelated. They show the development of a subduction channel with forced return flow of low-viscosity material and progressive widening by hydration of the mantle wedge. The large-scale structures and the array of pressure-temperature paths obtained by these simulations favorably compare to the record of natural rocks and the structure of high-pressure metamorphic areas.
CORPORATE REPUTATION AND SUSTAINED SUPERIOR FINANCIAL PERFORMANCE

Good corporate reputations are critical because of their potential for value creation, but also because their intangible character makes replication by competing firms considerably more difficult. Existing empirical research confirms that there is a positive relationship between reputation and financial performance. This paper complements these findings by showing that firms with relatively good reputations are better able to sustain superior profit outcomes over time. In particular, we undertake an analysis of the relationship between corporate reputation and the dynamics of financial performance using two complementary dynamic models. We also decompose overall reputation into a component that is predicted by previous financial performance, and that which is ‘left over’, and find that each (orthogonal) element supports the persistence of above-average profits over time. Copyright  2002 John Wiley & Sons, Ltd.
Spatio-temporal scalability for MPEG video coding

The existing and standardized solutions for spatial scalability are not satisfactory, therefore new approaches are very actively explored recently. The goal of this paper is to improve spatial scalability of MPEG-2 for progressive video. In order to avoid problems with too large bitstreams of the base layer produced by some of the hitherto proposed spatially scalable coders, spatio-temporal scalability is proposed for video compression systems. It is assumed that a coder produces two bitstreams, where the base-layer bitstream corresponds to pictures with reduced both spatial and temporal resolution while the enhancement layer bitstream is used to transmit the information needed to retrieve images with full spatial and temporal resolution. In the base layer, temporal resolution reduction is obtained by B-frame data partitioning, i.e., by placing each second frame (B-frame) in the enhancement layer. Subband (wavelet) analysis is used to provide spatial decomposition of the signal. Full compatibility with the MPEG-2 standard is ensured in the base layer. As compared to single-layer MPEG-2 encoding at bit rates below 6 Mbits/s, the bitrate overhead for scalability is less than 15% in most cases.
The Eighteenth Century Worker: Goya's Tapestry Cartoons and the Influence of the Enlightenment [Presentation]

This paper discusses research on Francisco de Goya's Tapestry Cartoons and the influence of the enlightenment.