LLukas22/scidocs huggingface dataset:
[Dioxin emissions and soft-tissue sarcoma: results of a population-based case-control study].

BACKGROUND
In 1998, the French Ministry of Environment revealed that of 71 French municipal solid waste incinerators processing more than 6 metric tons of material per hour, dioxin emission from 15 of them was above the 10 ng international toxic equivalency factor/m3 (including Besançon, emitting 16.3 ng international toxic equivalency factor/m3) which is substantially higher than the 0.1 international toxic equivalency factor/m3 prescribed by a European directive of 1994. In 2000, a macrospatial epidemiological study undertaken in the administrative district of Doubs, identified two significant clusters of soft-tissue sarcoma and non Hodgkin lymphoma in the vicinity of the municipal solid waste incinerator of Besançon. This microspatial study (at the Besançon city scale), was designed to test the association between the exposure to dioxins emitted by the municipal solid waste incinerator of Besançon and the risk of soft-tissue sarcoma.


METHODS
Ground-level concentrations of dioxin were modeled with a dispersion model (Air Pollution Control 3 software). Four increasing zones of exposure were defined. For each case of soft tissue sarcoma, ten controls were randomly selected from the 1990 census database and matched for gender and age. A geographic information system allowed the attribution of a dioxin concentration category to cases and controls, according to their place of residence.


RESULTS
Thirty-seven cases of soft tissue sarcoma were identified by the Doubs cancer registry between 1980 and 1995, corresponding to a standardized incidence (French population) of 2.44 per 100,000 inhabitants. Compared with the least exposed zone, the risk of developing a soft tissue sarcoma was not significantly increased for people living in the more exposed zones.


CONCLUSION
Before definitely concluding that there is no relationship between the exposure to dioxin released by a solid waste incinerator and soft tissue sarcoma, a nationwide investigation based on other registries should be conducted.
Value of nasal endoscopy and probing in the diagnosis and management of children with congenital epiphora.

BACKGROUND
Congenital nasolacrimal obstruction is usually the result of failure of canalisation of the distal end of the nasolacrimal duct. The most common outcome is spontaneous resolution, but some children do require surgical treatment by probing. Probing is a blind procedure with a recognised failure rate.


METHODS
In 52 lacrimal systems of 40 children nasal endoscopy was combined with a "stepwise" systematic probing in an attempt to improve the outcome and reduce the number of repeat procedures.


RESULTS
Combined nasal endoscopy and probing improved the understanding of outflow obstruction in young children. The success of the procedure depended upon the level of the obstruction within the outflow system. Formation of a false passage was seen in six cases (15%). The probe was rerouted under direct visualisation in these cases to form a functioning passage. Reasons for failure were identified in those who did not have a successful outcome and only one repeat procedure was required.


CONCLUSION
Using nasal endoscopy the area of lacrimal outflow obstruction at the lower end of the nasolacrimal duct can be observed directly and it is possible to guide the progress of probing under direct vision. This gives better information about the nature of the obstruction, minimises the formation of false passages, and allows a wider range of treatment options under a single anaesthetic.
On logical specifications of the Argument Interchange Format

The Argument Interchange Format (AIF) has been devised in order to support the interchange of ideas and data between different projects and applications in the area of computational argumentation. In order to support such interchange, an abstract ontology for argumentation is presented, which serves as an interlingua between various more concrete argumentation languages. In this paper, we aim to give what is essentially a logical specification of the AIF ontology by mapping the ontology onto the logical ASPIC framework for argumentation. We thus lay foundations for interrelating formal logic-based approaches to argumentation captured by the ASPIC framework and the wider class of argumentation languages, including those that are more informal and user-orientated.
Approximate Inclusion-Exclusion

The Inclusion-Exclusion formula expresses the size of a union of a family of sets in terms of the sizes of intersections of all subfamilies. This paper considers approximating the size of the union when intersection sizes are known for only some of the subfamilies, or when these quantities are given to within some error, or both.
Fatty acid composition of edible oils and fats.

The content of fatty acids as well as the ratio between unsaturated and saturated fatty acids is important parameter for determination of nutritional value of certain oil. Therefore the newest trend in food processing industry is notifying the composition of edible oils and other food commodities for the content of each individual fatty acid. The main objective of this work was to identify the fatty acid composition of several vegetable oils and fats. Eleven vegetable oils and fats (n=121) were analyzed for its fatty acid composition by gas chromatography (GC-FID) on HP-FFAP and SPBTM-1 column, respectively. Among the evaluated oils the higher contents of saturated fatty acids were found in palm kernel oil (76.0% ± 1.95) and coconut fat ( 90.5% ± 2.95) with predominant presence of lauiric acid (C12:0) and myristic acid (C14:0) compared to content of total saturated fatty acids in linseed oil (9.65% ±1.05), sunflower seed oil (8.8% ± 0.8) and safflower oil (7.2% ± 0.73). The result showed that the sunflower oil, safflower oil and linseed oil contain the highest percentage of long chain mono and polyunsaturated fatty acids: oleic acid (C18:1), linoleic acid (C18:2) and linolenic acid (C18:3). Two varieties of canola oil, high linolenic (44.0% ± 2.02, n=21) and high oleic acid (59.5% ± 1.907, n=20) were found. The highest P/S index (Polyunsaturated/Saturated index) was found for safflower oil (10.55) and the lowest P/S indexes were found for palm kernel oil (0.016) and coconut fat (0.005). The fatty acid composition of safflower and sunflower oil contains a healthy mixture of all the types of saturated and unsaturated fatty acid. The value of P/S index which is associated to the impact in the human health is also high for safflower (10.55) and sunflower oil (6.76), which makes them the most suitable edible oils for mass consumption.
LoRaWAN in the Wild: Measurements from The Things Network

The Long-Range Wide-Area Network (LoRaWAN) specification was released in 2015, primarily to support the Internet-of-Things by facilitating wireless communication over long distances. Since 2015, the role-out and adoption of LoRaWAN has seen a steep growth. To the best of our knowledge, we are the first to have extensively measured, analyzed, and modeled the performance, features, and use cases of an operational LoRaWAN, namely The Things Network. Our measurement data, as presented in this paper, cover the early stages up to the production-level deployment of LoRaWAN. In particular, we analyze packet payloads, radio-signal quality, and spatiotemporal aspects, to model and estimate the performance of LoRaWAN. We also use our empirical findings in simulations to estimate the packet-loss.
Origami Programming 3.1 Introduction

3 origami (˛ orig¯ a·mi) The Japanese art of making elegant designs using folds in all kinds of paper. One style of functional programming is based purely on recursive equations. Such equations are easy to explain, and adequate for any computational purpose , but hard to use well as programs get bigger and more complicated. In a sense, recursive equations are the 'assembly language' of functional programming , and direct recursion the goto. As computer scientists discovered in the 1960s with structured programming, it is better to identify common patterns of use of such too-powerful tools, and capture these patterns as new constructions and abstractions. In functional programming, in contrast to imperative programming, we can often express the new constructions as higher-order operations within the language, whereas the move from un-structured to structured programming entailed the development of new languages. There are advantages in expressing programs as instances of common patterns, rather than from first principles — the same advantages as for any kind of abstraction. Essentially, one can discover general properties of the abstraction once and for all, and infer those properties of the specific instances for free. These properties may be theorems, design idioms, implementations, optimisations, and so on. In this chapter we will look at folds and unfolds as abstractions. In a precise technical sense, folds and unfolds are the natural patterns of computation over recursive datatypes; unfolds generate data structures and folds consume them. Functional programmers are very familiar with the foldr function on lists, and its directional dual foldl; they are gradually coming to terms with the generalisation to folds on other datatypes (IFPH §3.3, §6.1.3, §6.4). The
The Arena Product Family: Enterprise Modeling Solutions

This paper introduces the Arena suite of products for modeling, simulation, and optimization highlighting product architecture and technology features that are targeted toward successful deployment of simulation and Arena throughout an enterprise.
Underwater laser sensor network: a new approach for broadband communication in the underwater

In this paper a new approach for the underwater sensor network based on the blue-green laser has been proposed. We describe the application of the underwater sensor network in the undersea exploration, and discuss the difficulties in the traditional the underwater acoustic sensor network. A basic of prototype of underwater laser sensor network has been advanced, which include the architecture of laser sensor node and protocol stack for underwater laser sensor network. Based on the advantages in the underwater laser communication, the underwater laser sensor network has great potential perspective in the undersea exploration. Key-Words: underwater sensor network, blue-green laser, laser communication
Patterns and determinants of leisure participation of youth and adults with developmental disabilities.

BACKGROUND
People with developmental disabilities are at high risk for a limited participation in leisure activities. The aim of this study was to investigate the participation in, preference for and interest in leisure activities of young and adults with developmental disabilities, and to examine the factors associated with leisure activity.


METHODS
A cross-sectional design was used with a convenience sample of 237 people aged 17 to 65, living in the community. Leisure participation was assessed with the Spanish version of Leisure Assessment Inventory. Percentages were calculated by types of activity, and repeated measures anovas were used to analyse the differences between types of activities, and mixed anovas to analyse the factors that explain differences in leisure activity participation, preference and interest.


RESULTS
Leisure social activities and recreation activities at home were mostly solitary and passive in nature and were identified as those being most commonly engaged in. Respondents expressed preference for more social and physical activity, and they were interested in trying out a large number of physical activities. Age and type of schooling determine participation in leisure activity. The results underscore the differences in leisure activity participation, preference and interest depending on the severity of the disability.


CONCLUSIONS
The findings reveal interesting patterns of participation in leisure activities from the viewpoint of youngsters and adults with developmental disabilities. Leisure participation among people with developmental disabilities is likely to be more affected by environmental factors than by personal factors.
An Ultra-Low-Voltage Ultra-Low-Power CMOS Miller OTA With Rail-to-Rail Input/Output Swing

An ultra-low-voltage ultra-low-power CMOS Miller operational transconductance amplifier (OTA) with rail-to-rail input/output swing is presented. The topology is based on combining bulk-driven differential pair and dc level shifters, with the transistors work in weak inversion. The improved Miller OTA has been successfully verified in a standard 0.35-mum CMOS process. Experimental results have confirmed that, at a minimum supply voltage of 600 mV, lower than the threshold voltage, the topology presents almost rail-to-rail input and output swings and consumes only 550 nW.
A spatiotemporal motion variation features extraction approach for human tracking and pose-based action recognition

Video and image analysis technologies have made human action recognition as an interesting field and used in many practical application systems such as visual surveillance systems, healthcare monitoring systems, 3D games and smart home. In this paper, we address the challenges of automatic tracking, detection and recognition of three-dimensional human pose-based actions from sequences of depth maps. Specifically, we have designed our proposed idea into a probabilistic framework: (1) dividing each action into meaningful ordered temporal segments, (2) using pixel-neighboring intensity difference approach to identify human shape region from the confused scenes, (3) introducing a robust spatiotemporal features to extract 3D joints information via local distance features and depth human shape information to get motion variation features and (4) finally these sets of features are merged together and their feature vectors are further reduced and discriminated to get optimal vectors for real-world applications. Next, the augmented features are enhanced and symbolized by Linde-Buzo-Gray clustering algorithm for better action recognition. With these symbols, each action hidden Markov model (HMM) is trained and tested for action recognition. The experimental results demonstrated our proposed approach on three challenging depth video datasets: IM-DepthActions, MSRAction3D and MSRDailyActivity3D, producing significantly improved results over the state-of-the-art methods: especially for those actions that are not easily discernible by the existing methods.
Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction

Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search Yuu Jinnai, Alex Fukunaga VIS: Text and Vision Oral Presentations 1326 SentiCap: Generating Image Descriptions with Sentiments Alexander Patrick Mathews, Lexing Xie, Xuming He 1950 Reading Scene Text in Deep Convolutional Sequences Pan He, Weilin Huang, Yu Qiao, Chen Change Loy, Xiaoou Tang 1247 Creating Images by Learning Image Semantics Using Vector Space Models Derrall Heath, Dan Ventura Poster Spotlight Talks 655 Towards Domain Adaptive Vehicle Detection in Satellite Image by Supervised SuperResolution Transfer Liujuan Cao, Rongrong Ji, Cheng Wang, Jonathan Li 499 Transductive Zero-Shot Recognition via Shared Model Space Learning Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang 1255 Exploiting View-Specific Appearance Similarities Across Classes for Zero-shot Pose Prediction: A Metric Learning Approach Alina Kuznetsova, Sung Ju Hwang, Bodo Rosenhahn, Leonid Sigal NLP: Topic Flow Oral Presentations 744 Topical Analysis of Interactions Between News and Social Media Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan 1561 Tracking Idea Flows between Social Groups Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song 1201 Modeling Evolving Relationships Between Characters in Literary Novels Snigdha Chaturvedi, Shashank Srivastava, Hal Daume III, Chris Dyer Poster Spotlight Talks 405 Identifying Search
Market structure, union rent seeking, and firm profitability

Abstract Unique survey data on firm union coverage, market share, and concentration are used to examine the hypothesis that profits deriving from market power provide a primary source for union gains. Based on evidence from 247 companies during 1972–1980, no support is found for this hypothesis.
Use of the Hough Transformation to Detect Lines and Curves in Pictures

Hough has proposed an interesting and computationally efficient procedure for detecting lines in pictures. This paper points out that the use of angle-radius rather than slope-intercept parameters simplifies the computation further. It also shows how the method can be used for more general curve fitting, and gives alternative interpretations that explain the source of its efficiency.
Bivalirudin or heparin in primary angioplasty performed through the transradial approach: results from a multicentre registry.

BACKGROUND
Data on the effect of bivalirudin therapy in primary percutaneous coronary interventions (PCI) performed through the transradial approach are limited. The aim of our study was to evaluate bleeding complications and clinical outcomes in primary PCI performed through the transradial approach with bivalirudin therapy.


METHODS
We retrospectively evaluated primary PCI performed through the transradial approach from January 2008 to June 2013. Patients were divided in two groups according to the use (group 1) or not (group 2) of bivalirudin. The primary end points were major bleedings and major adverse cardiac events (MACE) within 30 days.


RESULTS
During the 5 years analysed, 1009 patients underwent primary PCI through the transradial approach: 154 patients were treated with bivalirudin (males 79%, age 65 ± 14 years) and 855 with heparin (males 82%, 63 ± 12 years). In group 1, the use of glycoprotein IIb/IIIa inhibitors was only 4%, compared to 55% (p<0.001) in group 2. There were no significant differences between the two groups for major bleedings (0.65% in group 1 and 1.17% in group 2, p=0.88) nor for minor bleedings (1.3% in group 1 and 1.5% in group 2, p=0.83). There were also no significant differences in MACE (7.1% in group 1 and 10.4% in group 2, p=0.27). The 30-day mortality rate was 3.9% in group 1 and 5.4% in group 2 (p=0.56).


CONCLUSIONS
In this registry of primary PCI performed through the transradial approach, bivalirudin was not associated with a significant reduction in major bleeding or MACE compared to heparin and provisional glycoprotein IIb/IIIa inhibitors.
Formoterol attenuates neutrophilic airway inflammation in asthma.

STUDY OBJECTIVES
Airway neutrophil levels are increased in patients with severe asthma and during asthma exacerbations. Long-acting beta2-agonists (LABAs), such as formoterol, reduce the number of asthma exacerbations. While beta2-agonists may affect neutrophil function in vitro, it is uncertain whether they have effects on neutrophilic inflammation in asthmatic patients in vivo.


DESIGN
In a double-blind randomized crossover study, we evaluated the effects of 4 weeks of treatment with formoterol (Turbuhaler), 24 microg bid, compared to placebo on sputum neutrophil numbers and interleukin (IL)-8 levels in asthmatic patients. Therapy with budesonide (administered via Turbuhaler), 400 microg bid for 4 weeks, was added at the end as a "gold standard" antiinflammatory effect comparison.


PATIENTS
We studied 15 steroid-naïve nonsmoking patients who ranged from 19 to 51 years of age and had mild persistent asthma.


RESULTS
Formoterol therapy significantly reduced sputum IL-8 levels and neutrophil numbers compared to placebo. There was a significant correlation between the reduction in sputum IL-8 levels and the number of neutrophils, indicating that formoterol may attenuate neutrophilic airway inflammation by inhibiting IL-8 production.


CONCLUSIONS
Our data suggest that the LABA formoterol reduces neutrophilic airway inflammation in patients with mild asthma and that this might be beneficial in preventing asthma exacerbations.
Mode conversion based on dielectric metamaterial in silicon

We design, analyze and experimentally demonstrate a novel mode converter in silicon waveguide based on a graded index co-directional grating coupler. Numerical simulations results and microscope images of modes' far field are presented and discussed.
Fast GPU ray tracing of dynamic meshes using geometry images

Using the GPU to accelerate ray tracing may seem like a natural choice due to the highly parallel nature of the problem. However, determining the most versatile GPU data structure for scene storage and traversal is a challenge. In this paper, we introduce a new method for quick intersection of triangular meshes on the GPU. The method uses a threaded bounding volume hierarchy built from a geometry image, which can be efficiently traversed and constructed entirely on the GPU. This acceleration scheme is highly competitive with other GPU ray tracing methods, while allowing for both dynamic geometry and an efficient level of detail scheme at no extra cost.
MEDITATION, RESTORATION, AND THE MANAGEMENT OF MENTAL FATIGUE

An analysis of the underlying similarities between the Eastern meditation tradition and attention restoration theory (ART) provides a basis for an expanded framework for studying directed attention. The focus of the analysis is the active role the individual can play in the preservation and recovery of the directed attention capacity. Two complementary strategies are presented that can help individuals more effectively manage their attentional resource. One strategy involves avoiding unnecessary costs in terms of expenditure of directed attention. The other involves enhancing the effect of restorative opportunities. Both strategies are hypothesized to be more effective if one gains generic knowledge, self-knowledge, and specific skills. The interplay between a more active form of mental involvement and the more passive approach of meditation appears to have far-reaching ramifications for managing directed attention. Research on mental restoration has focused on the role of the environment and especially the natural environment. Such settings have been shown to 480 AUTHOR’S NOTE: This article benefited greatly from the many improvements in organization, expression, and content made by Rachel Kaplan and the many suggestions concerning consistency, clarity, and accuracy made by Terry Hartig. Thanks also to the SESAME group for providing a supportive environment for exploring many of the themes discussed here. The project was funded in part by USDA Forest Service, North Central Experiment Station, Urban Forestry Unit Co-operative Agreements. ENVIRONMENT AND BEHAVIOR, Vol. 33 No. 4, July 2001 480-506 © 2001 Sage Publications © 2001 SAGE Publications. All rights reserved. Not for commercial use or unauthorized distribution. at PENNSYLVANIA STATE UNIV on April 17, 2008 http://eab.sagepub.com Downloaded from reduce both stress and directed attention fatigue (DAF) (Hartig & Evans, 1993). Far less emphasis, however, has been placed on the possibility of active participation by the individual in need of recovery. A major purpose of this article is to explore the potential of this mostly neglected component of the restorative process. The article examines the role of attention in the restoration process both from the perspective of attention restoration theory (ART) and by exploring insights from the meditation tradition. The two perspectives are different in important ways, most notably in the active role that is played by the individual. At the same time, there are interesting common issues. In particular, I explore two ways to bring these frameworks together, namely preserving directed attention by avoiding costs (i.e., things that drain the attentional resource) and recovering attention through enhancement of the restorative process. These lead to a variety of tools and strategies that are available in the quest for restoration and a set of hypotheses concerning their expected effect on an individual’s effectiveness.