LLukas22/scidocs huggingface dataset:
Expectations about and experiences with insulin therapy contribute to diabetes treatment satisfaction in insulin-naïve patients with type 2 diabetes

AIM
The aim of this study was to investigate how patients' expectations about and experiences with insulin therapy contribute to diabetes treatment satisfaction.


METHODS
The Expectations about Insulin Therapy (EAITQ) and the Experience with Insulin Therapy Questionnaires (EWITQ) were administered at baseline and end-point, respectively to insulin-naïve patients with type 2 diabetes in a randomised trial comparing treatment algorithms for inhaled insulin. Pearson correlation coefficients were calculated between EAITQ and EWITQ scores, patient characteristics and patient-reported outcomes measures. Wilcoxon Signed Rank test compared EAITQ and EWITQ item score distributions. Differences between EAITQ and EWITQ scores were calculated to categorize patients according to the extent to which their expectations were met by experiences (i.e. unmet, met, exceeded).


RESULTS
EAITQ and EWITQ data were available for 240 patients (61% male, mean age 58 years, mean diabetes duration 10 years, mean baseline HbA(1c) 8.4%). Increasingly positive expectations were significantly associated with greater self-efficacy; greater levels of positive experiences were significantly associated with greater positive expectations, shorter diabetes duration, less symptom distress, greater well-being, self-efficacy and diabetes treatment satisfaction. Overall, patients' experiences with inhaled insulin therapy were significantly more positive than their expectations: 58% patients' experiences exceeded expectations, 29% patients' experiences met expectations and 13% patients' experiences did not meet expectations. Post hoc tests indicated that treatment satisfaction scores differed among these groups (all p < 0.01).


CONCLUSION
Expectations may not independently impact treatment satisfaction, but the relationship with experiences significantly contributes to it. The EAITQ and EWITQ may be useful tools for clinicians to better understand patients' expectations about and experiences with insulin therapy.
Horizon mapping: shadows for bump-mapped surfaces

Bump mapping produces realistic shading by perturbing normal vectors to a surface, but does not show the shadows that the bumps cast on nearby parts of the same surface. In this paper, these shadows are found from precomputed tables of horizon angles, listing, for each position entry, the elevation of the horizon in a sampled collection of directions. These tables are made for bumps on a standard flat surface, and then a transformation is developed so that the same tables can be used for an arbitrary curved parametrized surface patch. This necessitates a new method for scaling the bump size to the patch size. Incremental calculations can be used in a scan line algorithm for polygonal surface approximations. The errors in the bump shadows are discussed, as well as their anti-aliasing. (An earlier version of this article appeared as Max [10].)
The 1st DDIExtraction-2011 challenge task: Extractio n of Drug-Drug Interactions from biomedical texts

We present an evaluation task designed to provide a framework for comparing different approaches to extracting drug-drug interactions from biomedical texts. We define the task, describe the training/test data, list the participating systems and discuss their results. There were 10 teams who submitted a total of 40 runs.
The effect of quadriceps femoris muscle strengthening exercises on spasticity in children with cerebral palsy.

BACKGROUND AND PURPOSE
The Bobath neurodevelopmental treatment approach advised against the use of resistive exercise, as proponents felt that increased effort would increase spasticity. The purpose of this study was to test the premise that the performance of exercises with maximum efforts will increase spasticity in people with cerebral palsy (CP). Spasticity, in the present study, was defined as a velocity-dependent hyperexcitability of the muscle stretch reflex.


SUBJECTS
Twenty-four subjects with the spastic diplegic form of CP (mean age=11.4 years, SD=3.0, range=7-17) and 12 subjects without known neurological impairments (mean age=11.6 years, SD=3.5, range=7-17) were assessed.


METHODS
Knee muscle spasticity was assessed bilaterally using the pendulum test to elicit a stretch reflex immediately before and after 3 different forms of right quadriceps femoris muscle exercise (isometric, isotonic, and isokinetic) during a single bout of exercise training. Pendulum test outcome measures were: (1) first swing excursion, (2) number of lower leg oscillations, and (3) duration of the oscillations.


RESULTS
There were no changes in spasticity following exercise between the 2 groups of subjects.


DISCUSSION AND CONCLUSION
These results do not support the premise that exercises with maximum efforts increase spasticity in people with CP.
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning

Recently there has been significant interest in training machine-learning models at low precision: by reducing precision, one can reduce computation and communication by one order of magnitude. We examine training at reduced precision, both from a theoretical and practical perspective, and ask: is it possible to train models at end-to-end low precision with provable guarantees? Can this lead to consistent order-ofmagnitude speedups? We mainly focus on linear models, and the answer is yes for linear models. We develop a simple framework called ZipML based on one simple but novel strategy called double sampling. Our ZipML framework is able to execute training at low precision with no bias, guaranteeing convergence, whereas naive quantization would introduce significant bias. We validate our framework across a range of applications, and show that it enables an FPGA prototype that is up to 6.5× faster than an implementation using full 32-bit precision. We further develop a variance-optimal stochastic quantization strategy and show that it can make a significant difference in a variety of settings. When applied to linear models together with double sampling, we save up to another 1.7× in data movement compared with uniform quantization. When training deep networks with quantized models, we achieve higher accuracy than the state-of-theart XNOR-Net. ETH Zurich, Switzerland Massachusetts Institute of Technology, USA IST Austria, Austria University of Rochester, USA. Correspondence to: Hantian Zhang <hantian.zhang@inf.ethz.ch>, Ce Zhang <ce.zhang@inf.ethz.ch>. Proceedings of the 34 th International Conference on Machine Learning, Sydney, Australia, PMLR 70, 2017. Copyright 2017 by the author(s). (a) Linear Regression (c) 3D Reconstruction 32Bit 12Bit (b) FPGA Speed Up (d) Deep Learning Machine Learning Models Data Movement Channels Speed up because of our techniques Gradient Input Samples Model Linear Models De Sa et la., Alistarh et al., ... 1. Double Sampling 2. Data-Optimal Encoding Stochastic Rounding Very Significant Speed up (Up to 10x) Deep Learning Courbariaux et al., Rastegari et al., ... Data-Optimal Encoding Significant Speed up 0 25 50 75 100 32-bit Full Precision Double Sampling 4-bit #Epochs Tr ai ni ng L os s #Epochs (a) Linear Regression (b) LS-SVM 0 25 50 75 100 .3
Property fields in a Tortugas Eddy in the southern straits of Florida

Sea surface temperature imagery, ship-based surveys, and moored current meters described the passage of a Tortugas Eddy as it moved east at ca. 6 kmday 1 through the southern Straits of Florida (SSF). In mid-April 1999 the eddy SST signature extended across half the width of the Straits. While in the western SSF, the eddy center was ca. 30 km seaward of the outer reef. The upper pycnocline, the subsurface chlorophyll a maximum (SCM), and nutricline shoaled from ca. 80m at the eddy edge to o60m at the center. Maximum chlorophyll a concentrations in the SCM were highest near the eddy center, at 1mgm , although the depth-integrated concentrations (mgm ) were similar across the feature. Nutrientdensity relationships show nitrate+nitrite, phosphate, and silicate decreased to detection limits at sto25:0; the SCM was centered near this isopycnal surface. As the Eddy passed Looe Key (81.51W) the alongshore currents reversed to the west. During this period high-nutrient, cool waters shoaled near the bottom on the outer reef. By early May, the eddy SST signature was compressed into a thin band of cool surface waters off the Middle to Upper Keys. As the feature moved towards shore in the Middle to Upper Florida Keys, the nitrate+nitrite and chlorophyll concentrations increased in bottom waters along the outer reef. Processes such as internal tidal bores and breaking internal waves are likely responsible for delivering nutrients from Tortugas Eddies to the outer reef in the Middle to Upper Keys. r 2005 Elsevier Ltd. All rights reserved.
Analysis of bearing stiffness variations, contact forces and vibrations in radially loaded double row rolling element bearings with raceway defects

A method is presented for calculating and analyzing the quasi-static load distribution and varying stiffness of a radially loaded double row bearing with a raceway defect of varying depth, length, and surface roughness. The method is applied to ball bearings on gearbox and fan test rigs seeded with line or extended outer raceway defects. When balls pass through the defect and lose all or part of their load carrying capacity, the load is redistributed between the loaded balls. This includes balls positioned outside the defect such that good raceway sections are subjected to increased loading when a defect is present. The defective bearing stiffness varies periodically at the ball spacing, and only differs from the good bearing case when balls are positioned in the defect. In this instance, the stiffness decreases in the loaded direction and increases in the unloaded direction. For an extended spall, which always has one or more balls positioned in the defect, this results in an average stiffness over the ball spacing period that is lower in the loaded direction in comparison to both the line spall and good bearing cases. The variation in bearing stiffness due to the defect produces parametric excitations of the bearing assembly. The qualitative character of the vibration response correlates to the character of the stiffness variations. Rapid stiffness changes at a defect exit produce impulses. Slower stiffness variations due to large wavelength waviness features in an extended spall produce low frequency excitation which results in defect components in the velocity spectra. The contact forces fluctuate around the quasi-static loads on the balls, with rapid stiffness changes producing high magnitude impulsive force fluctuations. Furthermore, it is shown that analyzing the properties of the dynamic model linearized at the quasi-static solutions provides greater insight into the time-frequency characteristics of the vibration response. This is demonstrated by relating the low frequency event that occurs when a ball enters a line spall to the dynamic properties of the bearing assembly.
OpenSec: A framework for implementing security policies using OpenFlow

As the popularity of software defined networks (SDN) and OpenFlow increases, policy-driven network management has received more attention. Manual configuration of multiple devices is being replaced by an automated approach where a software-based, network-aware controller handles the configuration of all network devices. Software applications running on top of the network controller provide an abstraction of the topology and facilitate the task of operating the network. We propose OpenSec, an OpenFlow-based security framework that allows a network security operator to create and implement security policies written in human-readable language. Using OpenSec, the user can describe a flow in terms of OpenFlow matching fields, define which security services must be applied to that flow (deep packet inspection, intrusion detection, spam detection, etc) and specify security levels that define how OpenSec reacts if malicious traffic is detected. We implement OpenSec in the GENI testbed to evaluate the flexibility, accuracy and scalability of the framework. The experimental setup includes deep packet inspection, intrusion detection and network quarantining to secure a web server from network scanners. We achieve a constant delay when reacting to security alerts and a detection rate of 98%.
Chemical Composition and Physicochemical Properties of Pumpkin Seeds (Cucurbita pepo Subsp. pepo Var. Styriaka) Grown in Iran

Chemical composition and physicochemical properties of pumpkin seeds and fatty acids of their oil were determined. It was found that the seeds contained 41.59% oil and 25.4% protein. Moisture, crude fiber, total ash, and carbohydrate contents were 5.2%, 5.34%, 2.49%, and 25.19%, respectively. The specific gravity, dynamic viscosity, and refractive index of the extracted pumpkin seed oil were 0.915, 93.659 cP, and 1.4662, respectively. Acid value (mg KOH/g oil), peroxide value (meq O2/kg oil), iodine value (g I2/100 g oil), saponification number (mg KOH/ g oil), and unsaponifiable matter content (%) of the extracted oil from pumpkin seeds were 0.78, 0.39, 10.85, 104.36, 190.69, and 5.73, respectively. Total phenolics compounds (mg gallic acid/kg oil), total tocopherols (mg αtocopherol/kg oil), total sterols (%), and waxes (%) were 66.27, 882.65, 1.86, and 1.58, respectively. Specific extinctions at two wavelengths of 232 nm (K232) and 270 nm (K270) and R-value (K232/K270) were 3.80, 3.52 and 0.74, respectively. Gas chromatographic analysis of the pumpkin seed oil showed that the linoleic (39.84%), oleic (38.42%), palmitic (10.68%) and stearic (8.67%) acids were the major fatty acids. Compared with other vegetable oils, the present study revealed that pumpkin seed oil can be a valuable source of edible oil.
Conventional Versus Digital Impressions for "All-on-Four" Restorations.

PURPOSE
This study aimed to evaluate the most accurate impression technique for "All on Four" restoration, comparing conventional (CIG) and digital impressions (DIG).


MATERIALS AND METHODS
Patients randomly selected for this study were required to be edentulous in at least one arch, presenting with severe posterior mandibular or maxillary atrophy. All patients underwent full-arch immediate-load rehabilitations, which were fixed to a total of four implants (two axial and two tilted). Following implant placement, patients were stratified into two groups. Conventional pick-up was carried out in the control group, and digital impressions were performed in the test group. Following prosthetic rehabilitation, patients underwent intraoral digital radiographs to check for the presence of voids at the bar-implant connection and to evaluate accuracy. Three-, 6-, and 12-month follow-up examinations were performed.


RESULTS
A total of 25 patients received immediately loaded "All-on-Four" prostheses (17 maxillary, 13 mandibular) supported by four implants (total 120 implants), of which five received both maxillary and mandibular prosthetic rehabilitation (three patients in CIG, two patients in DIG). No implant dropouts occurred, showing a survival rate of 100%. The digital impression procedure required significantly less time than the conventional procedure (P < .001).


CONCLUSION
Results demonstrate that it is possible to develop computer-aided design/computer-assisted manufacturing (CAD/CAM) cobalt-chromium full-arch rehabilitations with satisfactory accuracy using digital impression techniques.
Health Media: From Multimedia Signals to Personal Health Insights

In this article, we explore the relevance and contribution of new signals in a broader interpretation of multimedia for personal health. We present how core multimedia research is becoming an important enabler for applications with the potential for significant societal impact.
Czech clitics in higher order grammar

This thesis has three interrelated goals: The main goal is an analysis of Czech clitics, units of grammar on the borderline between morphology and syntax with rather peculiar ordering properties both relative to the whole clause and to each other. We examine the actual set of clitics, their rather rigid ordering properties, and finally the properties of so-called clitic climbing. The analysis evaluates previous research, but it also provides new insights, especially in the position of the clitic cluster and in the constraints on clitic climbing. We show that many of the constraints regarding position of the clitic cluster suggested in previous research do not hold. We also argue that cases when clitics do not follow the first constituent are in fact not exceptions in clitic placement but instead unusual frontings. The second goal is the development of a framework within Higher Order Grammar (HOG) supporting a transparent and modular treatment of word order. Unlike previous versions of HOG, we work with signs (containing phonological, syntactic and potentially other information) as actual objects of the grammar. Apart from that, we build on the simplicity and elegance of the pre-formal part of the linearization framework within Head-driven Phrase Structure Grammar. Finally, the third objective is to test the result of the second goal by applying it on the results of the first goal.
A literature review of agile practices and their effects in scientific software development

The nature of scientific research and the development of scientific software have similarities with processes that follow the agile manifesto: responsiveness to change and collaboration are of the utmost importance. But how well do current scientific software development processes match the practices found in agile development methods, and what are the effects of using agile practices in such processes? In order to investigate this, we conduct a literature review, focusing on evaluating the agility present in a selection of scientific software projects. Both projects with intentionally agile practices and projects with a certain degree of agile elements are taken into consideration. In the agility assessment, we define and utilize an agile mapping chart. The elements of the mapping chart are based on Scrum and XP, thus covering two of the most prominent agile reference models. We compared the findings of the literature review to results of a previously conducted survey. The comparison indicates that scientific software development projects adopting agile practices perceive their testing to be better than average. No difference to average projects was perceived regarding requirements-related activities. Future work includes an in-depth case study to further investigate the existence and impact of agility in three large scientific software projects, ultimately aiming at a better understanding of the particularities involved in developing scientific software.
Semantics-based program verifiers for all languages

We present a language-independent verification framework that can be instantiated with an operational semantics to automatically generate a program verifier. The framework treats both the operational semantics and the program correctness specifications as reachability rules between matching logic patterns, and uses the sound and relatively complete reachability logic proof system to prove the specifications using the semantics. We instantiate the framework with the semantics of one academic language, KernelC, as well as with three recent semantics of real-world languages, C, Java, and JavaScript, developed independently of our verification infrastructure. We evaluate our approach empirically and show that the generated program verifiers can check automatically the full functional correctness of challenging heap-manipulating programs implementing operations on list and tree data structures, like AVL trees. This is the first approach that can turn the operational semantics of real-world languages into correct-by-construction automatic verifiers.
A survey of cluster-based cooperative spectrum sensing in cognitive radio networks

Cooperative spectrum sensing plays a very important role in the research of cognitive network due to its ability on improving sensing performance especially in the fading and shadowing channel. Combining the clustering technique, cooperative spectrum sensing can improve the performance and reduce the computational cost. In recent years, many methods of cooperative spectrum sensing have been proposed based on the clustering technique, which can be classified into 3 categories. In this paper, we provide a review of cluster-based cooperative spectrum sensing and introduce the existing methods.
Severe vitamin D deficiency among heart and liver transplant recipients.

INTRODUCTION
Although patients with end-stage organ failure are at high risk for vitamin D deficiency because of limited sunlight exposure and hepatic dysfunction, few studies have measured 25-hydroxy vitamin D (25OHD) at the time of transplantation.


METHODS
We measured serum 25OHD immediately after transplantation in 69 heart and liver transplant recipients.


RESULTS
Forty-six heart and 23 liver transplant recipients were evaluated (mean age 53 yr). Mean 25OHD was well below the lower limit of the normal range (43.2 +/- 21.2 nmol/L). Ninety-one percent had levels below 75 nmol/L, the threshold commonly used to denote sufficiency, and 71% had levels below 50 nmol/L. Severe deficiency (25OHD <25 nmol/L) was found in 16%. Vitamin D levels did not differ by race, age, gender, or season. Mean 25OHD was lower among liver than heart transplant recipients (34.4 +/- 17.5 vs. 47.7 +/- 20.7 nmol/L; p < 0.03). Among liver transplant recipients, 22% had undetectable levels (<17 nmol/L).


CONCLUSIONS
Vitamin D deficiency is highly prevalent among heart and liver transplant recipients; those with liver failure are at greatest risk. As vitamin D deficiency has many serious skeletal and extra-skeletal sequelae, physicians who treat transplant patients should maintain a high degree of vigilance for this problem.