LLukas22/scidocs huggingface dataset:
Randomized trial of a GPIIb/IIIa platelet receptor blocker in refractory unstable angina. European Cooperative Study Group.

BACKGROUND
Patients with unstable angina despite intensive medical therapy, ie, refractory angina, are at high risk for developing thrombotic complications: myocardial infarction or coronary occlusion during percutaneous transluminal coronary angioplasty (PTCA). Chimeric 7E3 (c7E3) Fab is an antibody fragment that blocks the platelet glycoprotein (GP) IIb/IIIa receptor and potently inhibits platelet aggregation.


METHODS AND RESULTS
To evaluate whether potent platelet inhibition could reduce these complications, 60 patients with dynamic ST-T changes and recurrent pain despite intensive medical therapy were randomized to c7E3 Fab or placebo. After initial angiography had demonstrated a culprit lesion suitable for PTCA, placebo or c7E3 Fab was administered as 0.25 mg/kg bolus injection followed by 10 micrograms/min for 18 to 24 hours until 1 hour after completion of second angiography and PTCA. During study drug infusion, ischemia occurred in 9 c7E3 Fab and 16 placebo patients (P = .06). During hospital stay, 12 major events occurred in 7 placebo patients (23%), including 1 death, 4 infarcts, and 7 urgent interventions. In the c7E3 Fab group, only 1 event (an infarct) occurred (3%, P = .03). Angiography showed improved TIMI flow in 4 placebo and 6 c7E3 Fab patients and worsening of flow in 3 placebo patients but in none of the c7E3 Fab patients. Quantitative analysis showed significant improvement of the lesion in the patients treated with c7E3 Fab, which was not observed in the placebo group, although the difference between the two treatment groups was not significant. Measurement of platelet function and bleeding time demonstrated > 90% blockade of GPIIb/IIIa receptors, > 90% reduction of ex vivo platelet aggregation to ADP, and a significantly prolonged bleeding time during c7E3 Fab infusion, without excess bleeding.


CONCLUSIONS
Combined therapy with c7E3 Fab, heparin, and aspirin appears safe. These pilot study results support the concept that effective blockade of the platelet GPIIb/IIIa receptors can reduce myocardial infarction and facilitate PTCA in patients with refractory unstable angina.
Obesity and reduction of the response rate to anti-tumor necrosis factor α in rheumatoid arthritis: an approach to a personalized medicine.

OBJECTIVE
Obesity is a mild, long-lasting inflammatory disease and, as such, could increase the inflammatory burden of rheumatoid arthritis (RA). The study aim was to determine whether obesity represents a risk factor for a poor remission rate in RA patients requiring anti-tumor necrosis factor α (anti-TNFα) therapy for progressive and active disease despite treatment with methotrexate or other disease-modifying antirheumatic drugs.


METHODS
Patients were identified from 15 outpatient clinics of university hospitals and hospitals in Italy taking part in the Gruppo Italiano di Studio sulle Early Arthritis network. Disease Activity Score in 28 joints (DAS28), body mass index (BMI; categorized as <25, 25-30, and >30 kg/m(2) ), acute-phase reactants, IgM rheumatoid factor, and anti-cyclic citrullinated peptide antibody values were collected. DAS28 remission was defined as a score of <2.6 lasting for at least 3 months.


RESULTS
Six hundred forty-one outpatients with longstanding RA receiving anti-TNFα blockers (adalimumab, n = 260; etanercept, n = 227; infliximab, n = 154), recruited from 2006-2009 and monitored for at least 12 months, were analyzed. The mean ± SD DAS28 at baseline was 5.6 ± 1.4. A BMI of >30 kg/m(2) was recorded in 66 (10.3%) of 641 RA patients. After 12 months of anti-TNFα treatment, a DAS28 of <2.6 was noted in 15.2% of the obese subjects, in 30.4% of the patients with a BMI of 25-30 kg/m(2) , and in 32.9% of the patients with a BMI of <25 kg/m(2) (P = 0.01). The lowest percentage of remission, which was statistically significant versus adalimumab and etanercept (P = 0.003), was observed with infliximab.


CONCLUSION
Obesity represents a risk factor for a poor remission rate in patients with longstanding RA treated with anti-TNFα agents. A personalized treatment plan might be a possible solution.
Vascular vertigo: epidemiology and clinical syndromes.

BACKGROUND
vertigo is a common complaint in medicine. The most common causes of vertigo are benign paroxysmal positional vertigo, vestibular neuritis, Meniere's syndrome, and vascular disorders. Vertigo of vascular origin is usually limited to migraine, transient ischemic attacks, and ischemic or hemorrhagic stroke. Vascular causes lead to various central or peripheral vestibular syndromes with vertigo. This study provides an overview of epidemiology and clinical syndromes of vascular vertigo.


REVIEW SUMMARY
vertigo is an illusion of movement caused by asymmetrical involvement of the vestibular system by various causes. Migraine is the most frequent vascular disorder that causes vertigo in all age groups. Vertigo may occur in up to 25% of patients with migraine. The lifetime prevalence of migrainous vertigo is almost 1%. Cerebrovascular disorders are estimated to account for 3% to 7% of patients with vertigo. Vestibular paroxysmia has been diagnosed in 1.8% to 4% of cases in various dizziness units. Vasculitic disorders are rare in the general population, but vertigo may be seen in almost up to 50% of patients with different vasculitic syndromes.


CONCLUSIONS
migraine, cerebrovascular disorders especially involving the vertebrobasilar territory, cardiocirculatory diseases, neurovascular compression of the eighth nerve, and vasculitis are vascular causes of vertigo syndromes.
Perceived risk as a moderator of the effectiveness of framed HIV-test promotion messages among women: a randomized controlled trial.

OBJECTIVE
Researchers argue that gain-framed messages should be more effective for prevention behaviors, while loss frames should be more effective for detection behaviors (Rothman & Salovey, 1997). Evidence for this taxonomy has been mixed. This study examines whether the effects of gain- and loss-framed messages on HIV-testing intentions is moderated by perceived risk of a positive result.


METHOD
This experiment was conducted online and utilized a single factor (frame: gain/loss) between subjects design, with a separate HIV-test promotion control and a no message control to examine whether perceived risk of a positive test result moderates the effects of framed messages on intentions to seek an HIV test in the next 3 months. The sample (N = 1052; M age = 22, SD = 2.22), recruited through Survey Sampling International, included 51% Black women (49% White women).


RESULTS
HIV-test promotion messages were more effective than no message, but there were no other main effects for condition. Results also demonstrated a significant interaction between message frame and perceived risk, which is mediated through elaborative processing of the message. The interaction demonstrated an advantage for the loss-framed message among women with some perceived risk and an advantage for the gain-framed message among women with low perceived risk.


CONCLUSION
Results imply that the prevention/detection function of the behavior may be an inadequate distinction in the consideration of the effectiveness of framed messages promoting HIV testing. Rather, this study demonstrates that risk perceptions are an important moderator of framing effects.
Translation and validation of the Chinese version of the Current Opioid Misuse Measure (COMM) for patients with chronic pain in Mainland China

BACKGROUND
Management of prescription opioids misuse and abuse problems among chronic pain patients has been increasingly important worldwide and little literature concerning prescription opioids can be found in mainland China so far.


METHODS
The Current Opioid Misuse Measure (COMM) was translated into Chinese following Brislin's model of cross-culture translation and was completed by a convenience sample of 180 patients with chronic pain recruited from two major hospitals in Jinan, Shandong province. Data were analyzed using internal consistency, test-retest reliability, exploratory factor analysis and confirmatory factor analysis.


RESULTS
The internal consistency coefficient for the total score of the COMM was 0.85 and item-total correlations of all items were above 0.20. Besides, the test-retest reliability was satisfactory with an ICC of 0.91 (95% CI = 0.65-0.98). Four principal components were extracted, accounting for 65.30% of the variance, and the factor loadings of all 17 items were above 0.40.


CONCLUSIONS
The Chinese version of COMM showed satisfactory reliability and validity, and could be used as a screening tool to evaluate and monitor current aberrant drug-related behavior among Chinese patients with chronic pain.
Feasibility of neural networks in modelling radio propagation for field strength prediction

A typical back-propagation neural network (BPN) model is developed for modelling radio propagation for field strength prediction based on data measurements of propagation loss (in decibels) with terrain information taken in an urban area (Athens region) in the 900 MHz band. The feasibility of the BPN model is checked against the performance of a conventional semiempirical reference model. The performance of both models is quantified by statistical methods. The evaluation is done by comparing their prediction error statistics of average absolute, standard deviation and root mean square and by comparing their percentage accuracy and correlation of predicted values relative to true data measurements. 1998 John Wiley & Sons, Ltd.
Cloud Data Security while using Third Party Auditor

The Cloud is a plateform where all users not only store their data but also used the software and services provided by Cloud Service Provider (CSP). The service provided by the cloud is very economical. The user pay only for what he used.This is a platform where data owner remotely store their data in the cloud to enjoy the high quality applications and services. The user can access the data, use the data and store the data. In a Corporate world there are large number of client who accessing their data and modifying a data. In Cloud, application software and services are move to the centralized large data center and management of this data and services may not be trustworthy. To manage this data we use third party auditor (TPA).It will check the reliabilty of data but it increases the data integrity risk of data owner. Since TPA not only read the data but also he can modify the data, therefore a mechanism should be provided who solved this problem. We first examine the problem and new potential security scheme used to solve this problem. Our algorithm encrypt the content of file at user level which ensure the data owner and client that there data are intact. Side by side it also preserves the data dynamics and consistency of n number of client and server. Keywords— Third party Auditor, Integrity, Cloud Service Provider, Cloud Computing. . ——————————  ——————————
Impact of Anxiety and Depression Symptoms on Scholar Performance in High School and University Students

Emotional processes are important to survive. The Darwinian adaptive concept of stress refers to natural selection since evolved individuals have acquired effective strategies to adapt to the environment and to unavoidable changes. If demands are abrupt and intense, there might be insufficient time to successful responses. Usually, stress produces a cognitive or perceptual evaluation (emotional memory) which motivates to make a plan, to take a decision and to perform an action to face success‐ fully the demand. Between several kinds of stresses, there are psychosocial and emotional stresses with cultural, social and political influences. The cultural changes have modified the way in which individuals socially interact. Deficits in familiar relationships and social isolation alter physical and mental health in young students, producing reduction of their capacities of facing stressors in school. Adolescence is characterized by significant physiological, anatomical, and psychological changes in boys and girls, who become vulnerable to psychiatric disorders. In particular for young adult students, anxiety and depression symptoms could interfere in their academic performance. In this chapter, we reviewed approaches to the study of anxiety and depression symptoms related with the academic performance in adolescent and graduate students. Results from available published studies in academic journals are reviewed to discuss the importance to detect information about academic performance, which leads to discover in many cases the very commonly subdiagnosed psychiatric disorders in adolescents, that is, anxiety and depression. With the reviewed evidence of how anxiety and depression in young adult students may alter their main activity in life (studying and academic performance), we © 2015 The Author(s). Licensee InTech. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. discussed data in order to show a way in which professionals involved in schools could support students and stablish a routine of intervention in any case.
Coherent updating on finite spaces

We compare the dierent notions of conditional coherence within the behavioural theory of imprecise probabilities when all the spaces are finite. We show that the dierences between the notions are due to conditioning on sets of (lower, and in some cases upper) probability zero. Next, we characterise the range of coherent extensions, proving that the greatest coherent extensions can always be calculated using the notion of regular extension.
The cost-effectiveness of aripiprazole as adjunctive therapy in major depressive disorder: Thai economic model.

BACKGROUND
Aripiprazole is the first atypical antipsychotic approved for adjunctive treatment to antidepressant therapy in patients with major depressive disorder (MDD). The current study aims to present an economic model and cost-effectiveness estimates for aripiprazole compared with placebo as adjunctive therapy to antidepressant treatment in patients with MDD who showed an incomplete response to a prospective 8-week trial of antidepressant therapy.


MATERIAL AND METHOD
An economic model of MDD treatment was developed to estimate the clinical and economic outcomes in Thai patients. Efficacy data were derived from a pooled analysis of two studies. A cost-effectiveness analysis was constructed in simulate the impact of treatment outcomes and costs over a 6-week time horizon. The primary outcome of the model was remission of symptoms. Quality-adjusted life-year (QALYs) was the secondary outcome. The event probabilities were used to derive the transitional probability used in the model and to calculate the weighted cost of each treatment outcome. Only direct costs were considered. One-way sensitivity analysis was performed to test the sensitivity of the model outputs.


RESULTS
Treatment with aripiprazole came at the total costs per remission of 30,970 Baht while treatment with placebo came at the total costs per remission of 28,409 Baht. Placebo had lower total costs per QALY than aripiprazole (35,511 Baht vs. 38,713 Baht). The incremental cost-effectiveness ratio (ICER) of augmentation with aripiprazole compared with placebo was 2,561 Baht per remission gained and 3,201 Baht per QALY gained. Aripiprazole dominated placebo if the value of transitional probability of remission changed to a value of greater than 0.348 from the base-case value of 0.257. Aripiprazole was more cost-effective than placebo as adjunctive therapy if the unit cost of aripiprazole is more than 48.9% discount.


CONCLUSIONS
Adjunctive aripiprazole is not more cost-effective than adjunctive placebo in Thai patients with MDD who showed an inadequate response to at least one prospective antidepressant therapy. Remission rates and unit cost are the key parameters involving the cost-effectiveness of aripiprazole.
Is Early Vision Optimized for Extracting Higher-order Dependencies?

Linear implementations of the efficient coding hypothesis, such as independent component analysis (ICA) and sparse coding models, have provided functional explanations for properties of simple cells in V1 [1, 2]. These models, however, ignore the non-linear behavior of neurons and fail to match individual and population properties of neural receptive fields in subtle but important ways. Hierarchical models, including Gaussian Scale Mixtures [3, 4] and other generative statistical models [5, 6], can capture higher-order regularities in natural images and explain nonlinear aspects of neural processing such as normalization and context effects [6,7]. Previously, it had been assumed that the lower level representation is independent of the hierarchy, and had been fixed when training these models. Here we examine the optimal lower-level representations derived in the context of a hierarchical model and find that the resulting representations are strikingly different from those based on linear models. Unlike the the basis functions and filters learned by ICA or sparse coding, these functions individually more closely resemble simple cell receptive fields and collectively span a broad range of spatial scales. Our work unifies several related approaches and observations about natural image structure and suggests that hierarchical models might yield better representations of image structure throughout the hierarchy.
Combining heterogeneous service technologies for building an Internet of Things middleware

0140-3664/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.comcom.2011.11.003 ⇑ Corresponding author. E-mail addresses: kiev.gama@imag.fr (K. Ga (L. Touseau), didier.donsez@imag.fr (D. Donsez). Radio-frequency identification (RFID) is a technology that allows ordinary objects to be uniquely identified by ‘‘smart tags’’ which are also capable of storing small quantities of data. The term Internet of Things was originated from a vision strongly coupled with supply-chain concerns and RFID tagged objects. However the idea of such Internet of Things has evolved in a wider sense, referring now to a ubiquitous object society combining RFID, sensor networks and pervasive computing technologies. This scenario involves different requirements such as heterogeneity and dynamicity of objects, sensors, applications and protocols as well as the need for allowing the dynamic evolution of such applications. These issues seemed to be easily addressed if the principles of service-oriented computing (SOC), like loose coupling and heterogeneity, are used for constructing such architectures and applications. In this paper we underline what benefits SOC can offer to constructing a middleware for the Internet of Things. These concepts have been applied in a service-oriented middleware that tries to leverage the existing Internet of Things architectural concepts by using SOC principles in order to bring more flexibility and dynamicity. We describe the approaches used in that middleware and the lessons learned from that experience. This middleware was initially tested on an application for tracking and monitoring supply-chain objects, and later extended to target wider application domains that are also described in this paper. The project described here has become part of the OW2 AspireRFID open-source project. 2011 Elsevier B.V. All rights reserved.
The PMHT for Passive Radar in a DAB/DVB Network

Passive Bistatic Radar (PBR), also known as Passive Coherent Location (PCL), uses illuminators of opportunity. Passive radar using signals in a single frequency network modulated according to the Digital Audio/Video Broadcasting (DAB/DVB) standards using orthogonal frequency division multiplexing (OFDM) has recently been of increasing interest. There has been considerable research to develop tracking systems addressing its inherent difficulties [3]—[7], [10]—[13]; the poor quality–or absence–of angular information, and the lack of label of the transmitter on top of the usual target/measurement association concerns. First, there are algorithms using the Multi-Hypothesis Tracker (MHT) [12], [13] addressing the complexity problem from association ambiguities between measurement, targets and illuminators by initially forming two dimensional (measurement-target) hypotheses in the two-dimensional range/Doppler domain. Tracking is thence performed directly on target parameters by the MHT without considering the association between measurements and illuminators: the range/Doppler MHT extracts measurements and removes false alarms. Then, de-ghosting is performed by evaluating likelihood probabilities of possible data associations. When a Cartesian track is confirmed, the remaining tracks from other possible associations are declared false and tracking starts in the Cartesian domain. This MHT approach is good but but is not without issues. One is the appropriate motion model in range and Doppler space: probably the target dynamics in the Cartesian domain are known, the trajectories are not easily described in a space of target parameters, because the trajectories are related to illuminator/receiver/target geometry and there is association ambiguity among measurements, illuminators, and targets. And that is another concern: the illuminator association is never explicitly addressed. Now, track maintenance algorithms that operate directly in Cartesian coordinates have been explored [4], [5], one using modified Joint Probabilistic Data Association (JPDA) and another a particle filter. For the former, in order to address the large number of threelist hypotheses, a “super-target” idea was proposed; and the particle filters work under the PMHT measurement model that each measurement’s assignments are independent of others’. These methods have also been examined downstream from an initiation approach (the PMHTI method, suggested in [6]) that initiates tracks in Cartesian coordinates. In fact the PMHT seems to be an effective and natural way to accommodate the data association with the extra list (transmitters). So in this paper, we present it: it is really very simple. This tracker, combined with the initiation algorithm (the modified PMHTI method in [6]), shows excellent performance in comparison with the JPDA filter and particle filter.
Frequency-dependent resistive and capacitive components in RF MOSFETs

It is found from measured high frequency (HF) S-parameter data that the extracted effective gate sheet resistance (R/sub gsh/), effective gate unit-area capacitance (C/sub gg, unit/), and transconductance (G/sub m/) in radio-frequency (RF) MOSFETs show strong frequency dependency when the device operates at frequencies higher than some critical frequency. As frequency increases, R/sub gsh/ increases but C/sub gg, unit/ and G/sub m/ decrease. This behavior is different from what we have observed at low or medium frequencies, at which these components are constant over a frequency range. This phenomenon has been observed in MOSFETs with L/sub f/ longer than 0.35 /spl mu/m at frequencies higher than 1 GHz, and becomes more serious as L/sub f/ becomes longer and the frequency higher. This behavior can be explained by a MOSFET model considering the Non-Quasi-Static (NQS) effect. Simulation results show that an RF model based on BSIM3v3 with the NQS effect describes well the behaviors of both real and imaginary parts of Y/sub 21/ of the device with strong NQS effect even though its fitting to Y/sub 11/ needs to be improved further.
Bridge reliability experience in Switzerland

Keywords: 331/ICOM Note: College Custom Series Reference ICOM-CONF-1996-002 Record created on 2008-01-24, modified on 2016-08-08