LLukas22/scidocs huggingface dataset:
Hyperbaric Oxygen Therapy Can Diminish Fibromyalgia Syndrome – Prospective Clinical Trial

BACKGROUND
Fibromyalgia Syndrome (FMS) is a persistent and debilitating disorder estimated to impair the quality of life of 2-4% of the population, with 9:1 female-to-male incidence ratio. FMS is an important representative example of central nervous system sensitization and is associated with abnormal brain activity. Key symptoms include chronic widespread pain, allodynia and diffuse tenderness, along with fatigue and sleep disturbance. The syndrome is still elusive and refractory. The goal of this study was to evaluate the effect of hyperbaric oxygen therapy (HBOT) on symptoms and brain activity in FMS.


METHODS AND FINDINGS
A prospective, active control, crossover clinical trial. Patients were randomly assigned to treated and crossover groups: The treated group patients were evaluated at baseline and after HBOT. Patients in the crossover-control group were evaluated three times: baseline, after a control period of no treatment, and after HBOT. Evaluations consisted of physical examination, including tender point count and pain threshold, extensive evaluation of quality of life, and single photon emission computed tomography (SPECT) imaging for evaluation of brain activity. The HBOT protocol comprised 40 sessions, 5 days/week, 90 minutes, 100% oxygen at 2ATA. Sixty female patients were included, aged 21-67 years and diagnosed with FMS at least 2 years earlier. HBOT in both groups led to significant amelioration of all FMS symptoms, with significant improvement in life quality. Analysis of SPECT imaging revealed rectification of the abnormal brain activity: decrease of the hyperactivity mainly in the posterior region and elevation of the reduced activity mainly in frontal areas. No improvement in any of the parameters was observed following the control period.


CONCLUSIONS
The study provides evidence that HBOT can improve the symptoms and life quality of FMS patients. Moreover, it shows that HBOT can induce neuroplasticity and significantly rectify abnormal brain activity in pain related areas of FMS patients.


TRIAL REGISTRATION
ClinicalTrials.gov NCT01827683.
Validation of a Clinical Prediction Rule for Severe Acute Lower Intestinal Bleeding

OBJECTIVES:Acute lower intestinal bleeding is a heterogeneous disorder and identification of high-risk patients is challenging. We previously retrospectively identified predictors of severity in patients with acute lower intestinal bleeding. The aim of this study was to prospectively validate a clinical prediction rule for severe acute lower intestinal bleeding.METHODS:This was a prospective, observational cohort study of consecutive patients admitted to an academic, tertiary care or a community-based teaching hospital for management of acute lower intestinal bleeding. Data were collected on seven previously identified predictors of severe bleeding: heart rate ≥ 100/min, systolic blood pressure ≤ 115 mmHg, syncope, nontender abdominal exam, rectal bleeding in the first 4 h of evaluation, aspirin use, and >2 comorbid conditions. Severe bleeding was defined as transfusion of ≥2 units of red blood cells, and/or a decrease in hematocrit of ≥20% in the first 24 h, and/or recurrent rectal bleeding after 24 h of stability (accompanied by a further decrease in hematocrit of ≥20%, and/or additional blood transfusions, and/or readmission for acute lower intestinal bleeding within 1 wk of discharge). Patients were stratified into 3 risk groups according to the previously developed prediction rule: low (no risk factors), moderate (1–3 risk factors), and high (>3 risk factors).RESULTS:A total of 275 patients with acute lower intestinal bleeding were identified. The risk of severe bleeding in each risk category was similar in the validation and derivation cohorts (p values >0.05): low risk 6% versus 9%, moderate risk 43% versus 43%, and high risk 79% versus 84%. The area under the receiver operating characteristic curve was 0.754 for the validation cohort and 0.761 for the derivation cohort. The magnitude of the risk score was significantly correlated with major clinical outcomes including surgery, death, blood transfusions, and length of stay.CONCLUSION:We have developed and prospectively validated a clinical prediction rule for acute severe lower intestinal bleeding. This prediction rule could improve the triage of patients to appropriate levels of care and interventions, and guide a more standardized approach to acute lower intestinal bleeding.
Prediabetes in patients receiving tacrolimus in the first year after kidney transplantation: a prospective and multicenter study.

BACKGROUND
Tacrolimus-based immunosuppression, the most widely used regimen in kidney transplantation, increases the risk of new onset diabetes after transplantation (NODAT). However, the prevalence, evolution and risk factors of different prediabetic alterations: impaired fasting glucose, impaired glucose tolerance, and provisional diabetes, have not been established.


METHODS
In this multicenter and prospective study we evaluated 154 nondiabetic kidney transplant recipients receiving tacrolimus, mycophenolate mofetil and low dose steroids. An oral glucose tolerance test was performed 3 and 12 months after transplantation and prediabetes was defined by American Diabetes Association criteria.


RESULTS
Prediabetes was highly prevalent and showed little variation between 3 and 12 months (36% and 33%, respectively). Impaired glucose tolerance was the most frequent abnormality observed (23% and 25%, respectively) observed. In addition, 20% of recipients showed NODAT by 1 year. Multivariate analysis showed that age (odds ratio [OR]: 1.07, 95% confidence interval [CI]: 1.004-1.14), pretransplant body mass index (OR: 1.3, CI: 1.09-1.6) and triglyceride/high density lipoprotein-cholesterol ratio, a marker of insulin resistance, (OR: 1.4, CI: 1.05-1.9) were independent risk factors for prediabetes.


CONCLUSION
One in two recipients with tacrolimus-based immunosuppresion showed prediabetes or NODAT by 1 year posttransplantation when properly investigated. Older age and high pretransplant body mass index and triglyceride/high density lipoprotein-cholesterol ratio were risk factors for prediabetes. These findings may help applying early interventions to prevent the disorder.
Users and Pins and Boards , Oh My ! Temporal Link Prediction over the Pinterest Network

In this project, we are interested in performing temporal link prediction over the uniquely structured social network underlying the on-line content sharing service Pinterest. Utilizing a newly released Pinterest dataset, we aim to predict “follows” and “pinned” relationships between user-board and pin-board node pairs, respectively. To accomplish this goal, we examine the efficacy of both proximity-based and supervised learning solutions, and propose a novel approach that takes advantage of the temporal structure of the Pinterest graph while integrating standard techniques used in link prediction. Our results are notable, with our trained models over temporal features obtaining substantial performance in predicting both types of relationships in the network. Our models additionally exhibit the ability to abstract transitive edges between unrelated nodes, thus indicating an understanding of higher-order relationships in the graph. We believe our findings are significant, and we look forward to continued research in this area.
Site-directed antibody immobilization techniques for immunosensors.

Immunosensor sensitivity, regenerability, and stability directly depend on the type of antibodies used for the immunosensor design, quantity of immobilized molecules, remaining activity upon immobilization, and proper orientation on the sensing interface. Although sensor surfaces prepared with antibodies immobilized in a random manner yield satisfactory results, site-directed immobilization of the sensing molecules significantly improves the immunosensor sensitivity, especially when planar supports are employed. This review focuses on the three most conventional site-directed antibody immobilization techniques used in immunosensor design. One strategy of immobilizing antibodies on the sensor surface is via affinity interactions with a pre-formed layer of the Fc binding proteins, e.g., protein A, protein G, Fc region specific antibodies or various recombinant proteins. Another immobilization strategy is based on the use of chemically or genetically engineered antibody fragments that can be attached to the sensor surface covered in gold or self-assembled monolayer via the sulfhydryl groups present in the hinge region. The third most common strategy is antibody immobilization via an oxidized oligosaccharide moiety present in the Fc region of the antibody. The principles, advantages, applications, and arising problems of these most often applied immobilization techniques are reviewed.
Why Patients Continue to Participate in Clinical Research

Methods: Human immunodeficiency virus (HIV)infected individuals from Argentina, Brazil, and Thailand who had been participating in the Evaluation of Subcutaneous Proleukin (Interleukin-2) in a Randomized International Trial (ESPRIT) study for at least 6 months were invited to complete a self-administered survey on their experience and were asked why they continued to participate. The ESPRIT study is a phase 3, multinational, randomized trial comparing antiretroviral therapy plus interleukin 2 (IL-2) with antiretroviral therapy alone in individuals with HIV disease.
Recent developments in human motion analysis

Visual analysis of human motion is currently one of the most active research topics in computer vision. This strong interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, smart surveillance, perceptual interface, etc. Human motion analysis concerns the detection, tracking and recognition of people, and more generally, the understanding of human behaviors, from image sequences involving humans. This paper provides a comprehensive survey of research on computer-vision-based human motion analysis. The emphasis is on three major issues involved in a general human motion analysis system, namely human detection, tracking and activity understanding. Various methods for each issue are discussed in order to examine the state of the art. Finally, some research challenges and future directions are discussed. ? 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Preference, satisfaction and critical errors with Genuair and Breezhaler inhalers in patients with COPD: a randomised, cross-over, multicentre study

Background:The specific attributes of inhaler devices can influence patient use, satisfaction and treatment compliance, and may ultimately impact on clinical outcomes in patients with chronic obstructive pulmonary disease (COPD).Aims:To assess patient preference, satisfaction and critical inhaler technique errors with Genuair (a multidose inhaler) and Breezhaler (a single-dose inhaler) after 2 weeks of daily use.Methods:Patients with COPD and moderate to severe airflow obstruction were randomised in a cross-over, open-label, multicentre study to consecutive once-daily inhalations of placebo via Genuair and Breezhaler, in addition to current COPD medication. The primary end point was the proportion of patients who preferred Genuair versus Breezhaler after 2 weeks (Patient Satisfaction and Preference Questionnaire). Other end points included overall satisfaction and correct use of the inhalers after 2 weeks, and willingness to continue with each device.Results:Of the 128 patients enrolled, 127 were included in the safety population (male n=91; mean age 67.6 years). Of the 110 of the 123 patients in the intent-to-treat population who indicated an inhaler preference, statistically significantly more patients preferred Genuair than Breezhaler (72.7 vs. 27.3%; P<0.001). Mean overall satisfaction scores were also greater for Genuair than for Breezhaler (5.9 vs. 5.3, respectively; P<0.001). After 2 weeks, there was no statistically significant difference in the number of patients who made ⩾1 critical inhaler technique error with Breezhaler than with Genuair (7.3 vs. 3.3%, respectively).Conclusions:Patient overall preference and satisfaction was significantly higher with Genuair compared with Breezhaler. The proportion of patients making critical inhaler technique errors was low with Genuair and Breezhaler.
Addressing Security and Privacy Risks in Mobile Applications

Applications for mobile platforms are being developed at a tremendous rate, but often without proper security implementation. Insecure mobile applications can cause serious information security and data privacy issues and can have severe repercussions on users and organizations alike.
Stock Market Volatility Prediction: A Service-Oriented Multi-kernel Learning Approach

Stock market is an important and active part of nowadays financial markets. Stock time series volatility analysis is regarded as one of the most challenging time series forecasting due to the hard-to-predict volatility observed in worldwide stock markets. In this paper we argue that the stock market state is dynamic and invisible but it will be influenced by some visible stock market information. Existing research on financial time series analysis and stock market volatility prediction can be classified into two categories: in depth study of one market factor on the stock market volatility prediction or prediction by combining historical price fluctuations with either trading volume or news. In this paper we present a service-oriented multi-kernel based learning framework (MKL) for stock volatility analysis. Our MKL service framework promotes a two-tier learning architecture. In the top tier, we develop a suite of data preparation and data transformation techniques to provide a source-specific modeling, which transforms and normalizes a source specific input dataset into the MKL ready data representation. Then we apply data alignment techniques to prepare the datasets from multiple information sources based on the classification model we choose for cross-source correlation analysis. In the next tier, we develop model integration methods to perform three analytic tasks: (i) building one sub-kernel per source, (ii) learning and tuning the weights for sub-kernels through weight adjustment methods and (iii) performing multi-kernel based cross-correlation analysis of market volatility. To validate the effectiveness of our service oriented MKL approach, we performed experiments on HKEx 2001 stock market datasets with three important market information sources: historical prices, trading volumes and stock related news articles. Our experiments show that 1) multi-kernel learning method has a higher degree of accuracy and a lower degree of false prediction, compared to existing single kernel methods; and 2) integrating both news and trading volume data with historical stock price information can significantly improve the effectiveness of stock market volatility prediction, compared to many existing prediction methods.
A combined model for predicting CYP3A4 clinical net drug-drug interaction based on CYP3A4 inhibition, inactivation, and induction determined in vitro.

Although approaches to the prediction of drug-drug interactions (DDIs) arising via time-dependent inactivation have recently been developed, such approaches do not account for simple competitive inhibition or induction. Accordingly, these approaches do not provide accurate predictions of DDIs arising from simple competitive inhibition (e.g., ketoconazole) or induction of cytochromes P450 (e.g., phenytoin). In addition, methods that focus upon a single interaction mechanism are likely to yield misleading predictions in the face of mixed mechanisms (e.g., ritonavir). As such, we have developed a more comprehensive mathematical model that accounts for the simultaneous influences of competitive inhibition, time-dependent inactivation, and induction of CYP3A in both the liver and intestine to provide a net drug-drug interaction prediction in terms of area under the concentration-time curve ratio. This model provides a framework by which readily obtained in vitro values for competitive inhibition, time-dependent inactivation and induction for the precipitant compound as well as literature values for f(m) and F(G) for the object drug can be used to provide quantitative predictions of DDIs. Using this model, DDIs arising via inactivation (e.g., erythromycin) continue to be well predicted, whereas those arising via competitive inhibition (e.g., ketoconazole), induction (e.g., phenytoin), and mixed mechanisms (e.g., ritonavir) are also predicted within the ranges reported in the clinic. This comprehensive model quantitatively predicts clinical observations with reasonable accuracy and can be a valuable tool to evaluate candidate drugs and rationalize clinical DDIs.
Self-Regulation , Ego Depletion , and Motivation

Motivation is underappreciated in self-regulation theories (as is true in social personality psychology at large). This paper reviews the role of motivation in the context of the strength, or limited-resource, model of self-control in several domains. Sacrificing one desire in order to pursue another is more difficult when the incipient response is strongly motivated, a notion that highlights the struggle between urges and restraints. A reduction in ego resources can be temporarily overcome by strong motivation – nevertheless, ego depletion is not solely a loss of motivation: Recent experiments indicate that regulatory resources are rooted in physical energy stores. Motivational conflicts, especially the clash between selfish motives and behaviors that promote social acceptance, set the stage for the necessity of self-regulation and the circumstances in which ego depletion is most likely. Self-regulation is the self ’s capacity for altering its behaviors. It greatly increases the flexibility and adaptability of human behavior, enabling people to adjust their actions to a remarkably broad range of social and situational demands. It is an important basis for the popular conception of free will and for socially desirable behavior. It provides benefits to the individual and to society, and indeed good self-control seems to contribute to a great many desirable outcomes, including task performance, school and work success, popularity, mental health and adjustment, and good interpersonal relationships (Baumeister, Heatherton, & Tice, 1994; Duckworth & Seligman, 2005; Mischel, Shoda, & Peake, 1988; Shoda, Mischel, & Peake, 1990; Tangney, Baumeister, & Boone, 2004;Wolfe & Johnson, 1995). Motivation is underappreciated in psychology generally, no doubt partly because the cognitive revolution of recent decades has induced the majority of researchers to think in cognitive rather than motivational terms. Motivation’s role in self-regulation has been similarly underestimated. This article seeks to remedy that deficiency. It will examine the multiple ways that motivation is relevant to self-regulation. The relevance to self-regulation spans a wide range, from the confluence of motivation and self-regulation (as in the motivation to engage in self-regulation) to their conflict (as when self-regulation is used to restrain motivation).
Dielectric silicone elastomers with mixed ceramic nanoparticles

Highlights: • Composite ceramics nanoparticles (MCN) with zirconium dioxide and lead zirconate. • Dielectric elastomer films wDith PDMS matrix and MCN as dielectric filler. • Hydrophobic character—water resistant and good flexibility specific to siloxanes. • Increased value of dielectric constant with the content of MCN in dielectric films. • Increased energy output from uniaxial deformation of the dielectric elastomer films. - Abstract: A ceramic material consisting in a zirconium dioxide-lead zirconate mixture has been obtained by precipitation method, its composition being proved by wide angle X-ray powder diffraction and energy-dispersive X-ray spectroscopy. The average diameter of the ceramic particles ranged between 50 and 100 nm, as revealed by transmission electron microscopy images. These were surface treated and used as filler for a high molecular mass polydimethylsiloxane-α,ω-diol (Mn = 450,000) prepared in laboratory, the resulted composites being further processed as films and crosslinked. A condensation procedure, unusual for polydimethylsiloxane having such high molecular mass, with a trifunctional silane was approached for the crosslinking. The effect of filler content on electrical and mechanical properties of the resulted materials was studied and it was found that the dielectric permittivity of nanocomposites increased in line with the concentration of ceramic nanoparticles.
A Framework to avoid Scholar Desertion using Artificial Intelligence

In fact, nowadays there are sophisticated computer sciences capable of identifying and prevent the academic desertion by means of using predictive algorithms which allow being aware about the requirements and needs of the students. In this sense, the present paper proposes a new methodology to reduce the students desertion using the advantages of the data mining theory jointly with advanced artificial intelligence techniques such that, fuzzy logic. Such methodology aims to detect in a suitable moment, when a student tends to leave their studies. The design and some relative works are detailed in order to emphasize the relevance of this promising research area. To the end, some conclusions and a discussion is presented to propose news paths for the implementation of the proposed methodology and future work. .
Two forms of disordered eating in obesity: binge eating and night eating

OBJECTIVE: Binge eating disorder (BED) and the night eating syndrome (NES) have been linked to obesity. This review summarizes their characteristics, implications of their diagnoses and treatment outcomes.METHOD: Selective review of the literature on BED and NES.RESULTS: BED was proposed as a distinctive disorder on the basis of two large multisite studies in the early 1990s. It is associated with more severe and earlier onset of obesity, earlier onset of dieting and greater psychopathology. It shows large placebo responses and reduction of bingeing in patients on waiting-list controls. Traditional weight reduction programs reduce bingeing at least as well as psychological treatments designed for this purpose. NES is a stress-related eating, sleeping and mood disorder that is associated with disordered neuroendocrine function. It follows a characteristic circadian pattern and has responded to an agent that enhances serotonin function.CONCLUSIONS: BED responds well to weight reduction programs. It is proposed that this diagnosis be used as a marker for psychological problems that deserve treatment in their own right. NES is an eating, sleep, and mood disorder with distinctive behavioral and neuroendocrine characteristics. Studies of treatment for NES are in their infancy but selective serotonin reuptake inhibitors (SSRI) show promise.