LLukas22/scidocs huggingface dataset:
E-SATISFACTION AND E-LOYALTY OF CONSUMERS SHOPPING ONLINE

The objective of this research is to study the impact of emotional state and perceived risk of remote purchase on e-satisfaction during the Internet shopping. As well, it aims to study the influence of e-satisfaction on e-loyalty. The data gathering was carried out by a laboratory experiment followed by a questionnaire. The results show that three dimensions of the emotional state during Internet shopping (the pleasure, stimulation JIBC April 2012, Vol. 17, No.1 2 and dominance) have a significant positive impact on e-satisfaction. Dimensions of the perceived risk of remote purchase, (the total risk, the financial risk, the social risk, the psychological risk, the functional risk, and the physical risk) don’t have a significant impact on e-satisfaction, except the risk of loss of time has a negative impact. Finally esatisfaction influences positively and significantly the e-loyalty of the cyber consumers.
Haemodynamic interactions between the novel calcium sensitiser levosimendan and isosorbide-5-mononitrate in healthy subjects

Objective: The new calcium sensitiser levosimendan also possesses vasodilatory effects due to potassium-channel opening. The aim of the present study was to assess the possible haemodynamic interactions between levosimendan and isosorbide-5-mononitrate in young healthy men. Methods: The study was crossover, placebo controlled, double blind, randomised, and it comprised of four study days with one medication – levosimendan, isosorbide-5-mononitrate, levosimendan plus isosorbide-5-mononitrate or placebo – given on each. Levosimendan was administered i.v. as an initial bolus dose of 12 μg/kg over 10 min, followed by a continuous infusion of 0.2 μg/kg/min for a total time of 2 h. Isosorbide-5-mononitrate (20 mg) was given orally as a single dose. Leg blood flow and venous capacity (venous occlusion plethysmography), cardiac output (impedance cardiography), skin blood flow (laser-Doppler flowmetry), blood pressure and heart rate were recorded at baseline, and 20 min, 1 h, 2 h, 4 h and 6 h after the start of the infusion. An orthostatic test was performed at baseline and at 2 h 15 min. Twelve healthy, male subjects were included. Their mean age was 24 years (range 20–34 years). Results: Levosimendan increased leg blood flow by 32%, and no additive effect of the combination of levosimendan and isosorbide-5-mononitrate was observed. The effects of levosimendan on heart rate and blood pressure were minimal and in close conformity with previous studies. In general, there were no additive effects of the combination compared with each drug alone at rest. The only additive effect was seen in the orthostatic response. Heart rate increased by 40 beats min−1 with the combination (95% confidence interval compared with placebo 11–24 beats min−1), by 30 beats min−1 with levosimendan (2–15 beats min−1), by 28 beats min−1 with isosorbide-5-mononitrate (1–15 beats min−1), and by 22 beats min−1 with placebo. Furthermore, three subjects were unable to stand upright for the stipulated time with the combination, and the orthostatic test had to be discontinued prematurely. There were no changes in the conduction intervals in the electrocardiogram on any of the treatments. The combination had no influence on the occurrence of headache compared with isosorbide-5-mononitrate alone. Conclusion: No major additive haemodynamic effects of the combination of levosimendan and isosorbide-5-mononitrate compared with each drug alone could be observed at rest. However, during an orthostatic test, the circulatory response was significantly potentiated with the combination, and three of the subjects were unable to stand upright for the stipulated time.
Seven Models of Framing : Implications for Public Relations

Framing is a potentially useful paradigm for examining the strategic creation of public relations messages and audience responses. Based on a literature review across disciplines, this article identifies 7 distinct types of framing applicable to public relations. These involve the framing of situations, attributes, choices, actions, issues, responsibility, and news. Potential applications for public relations practice and research are discussed.
Predicting attrition in a pediatric asthma intervention study.

OBJECTIVES
To operationalize a comprehensive description of attrition, including pre-inclusion, dropout, and attrition due to intermittent missing data, and to test a predictive model of attrition using a data set from a randomized controlled intervention in pediatric asthma.


METHODS
Participants included children, ages 4-12, diagnosed with asthma and their caregivers. Demographic variables and outcome measures of asthma morbidity were examined in 327 families to determine their association with attrition.


RESULTS
Families who did not complete randomization and the intervention tended to have younger caregivers than did completers. Caregiver age emerged as the most consistent predictor of pre-inclusion and dropout attrition. There were no significant predictors of attrition due to intermittent missing data.


CONCLUSION
Younger caregivers may be at particular risk for attrition in pediatric asthma intervention studies and warrant special attention by investigators.
Taking up the challenge of measuring prolonged pain in (premature) neonates: the COMFORTneo scale seems promising.

OBJECTIVES
Pain assessment is essential to tailor intensive care of neonates. The present focus is on acute procedural pain; assessment of pain of longer duration remains a challenge. We therefore tested a modified version of the COMFORT-behavior scale-named COMFORTneo-for its psychometric qualities in the Neonatal Intensive Care Unit setting.


METHODS
In a clinical observational study, nurses assessed patients with COMFORTneo and Numeric Rating Scales (NRS) for pain and distress, respectively. Interrater reliability, concurrent validity, and sensitivity to change were calculated as well as sensitivity and specificity for different cut-off scores for subsets of patients.


RESULTS
Interrater reliability was good: median linearly weighted Cohen kappa 0.79. Almost 3600 triple ratings were obtained for 286 neonates. Internal consistency was good (Cronbach alpha 0.84 and 0.88). Concurrent validity was demonstrated by adequate and good correlations, respectively, with NRS-pain and NRS-distress: r=0.52 (95% confidence interval 0.44-0.59) and r=0.70 (95% confidence interval 0.64-0.75). COMFORTneo cut-off scores of 14 or higher (score range is 6 to 30) had good sensitivity and specificity (0.81 and 0.90, respectively) using NRS-pain or NRS-distress scores of 4 or higher as criterion.


DISCUSSION
The COMFORTneo showed preliminary reliability. No major differences were found in cut-off values for low birth weight, small for gestational age, neurologic impairment risk levels, or sex. Multicenter studies should focus on establishing concurrent validity with other instruments in a patient group with a high probability of ongoing pain.
First report on the antibody verification of HLA-ABC epitopes recorded in the website-based HLA Epitope Registry.

The International Registry of Antibody-Defined HLA Epitopes ( http://www.epregistry.com.br) has been recently established as a tool to understand humoral responses to human leukocyte antigen (HLA) mismatches. These epitopes are defined structurally by three-dimensional molecular modeling and amino acid sequence differences between HLA antigens. So-called eplets represent essential components of HLA epitopes and they are defined by polymorphic residues. A major goal is to identify HLA epitopes that have been verified experimentally with informative antibodies. Our analysis has also included data in many publications. As of 1 November 2013, 95 HLA-ABC antibody-verified epitopes have been recorded, 62 correspond to eplets and 33 are defined by eplets paired with other residue configurations. The Registry is still a work-in-progress and will become a useful resource for HLA professionals interested in histocompatibility testing at the epitope level and investigating antibody responses to HLA mismatches in transplant patients.
Cost-effectiveness of lifestyle and structured exercise interventions in sedentary adults: results of project ACTIVE.

BACKGROUND
Project ACTIVE was a randomized clinical trial comparing two physical activity interventions, lifestyle and traditional structured exercise. The two interventions were evaluated and compared in terms of cost effectiveness and ability to enhance physical activity among sedentary adults.


DESIGN
This was a randomized clinical trial.


SETTING/ PARTICIPANTS
The study included 235 sedentary but healthy community-dwelling adults.


INTERVENTION
A center-based lifestyle intervention that consisted of behavioral skills training was compared to a structured exercise intervention that included supervised, center-based exercise.


MAIN OUTCOME MEASURES
The main outcome measures of interest included cost, cardiorespiratory fitness, and physical activity.


RESULTS
Both interventions were effective in increasing physical activity and fitness. At 6 months, the costs of the lifestyle and structured interventions were, respectively, $46.53 and $190.24 per participant per month. At 24 months these costs were $17.15 and $49.31 per participant per month. At both 6 months and 24 months, the lifestyle intervention was more cost-effective than the structured intervention for most outcomes measures.


CONCLUSIONS
A behaviorally-based lifestyle intervention approach in which participants are taught behavioral skills to increase their physical activity by integrating moderate-intensity physical activity into their daily lives is more cost-effective than a structured exercise program in improving physical activity and cardiorespiratory health. This study represents one of the first attempts to compare the efficiency of intervention alternatives for improving physical activity among healthy, sedentary adults.
Multi-view learning overview: Recent progress and new challenges

Multi-view learning is an emerging direction in machine learning which considers learning with multiple views to improve the generalization performance. Multi-view learning is also known as data fusion or data integration from multiple feature sets. Since the last survey of multi-view machine learning in early 2013, multi-view learning has made great progress and developments in recent years, and is facing new challenges. This overview first reviews theoretical underpinnings to understand the properties and behaviors of multi-view learning. Then multi-view learning methods are described in terms of three classes to offer a neat categorization and organization. For each category, representative algorithms and newly proposed algorithms are presented. The main feature of this survey is that we provide comprehensive introduction for the recent developments of multi-view learning methods on the basis of coherence with early methods. We also attempt to identify promising venues and point out some specific challenges which can hopefully promote further research in this rapidly developing field. © 2017 Elsevier B.V. All rights reserved.
Improving Offline Handwritten Chinese Character Recognition by Iterative Refinement

We present an iterative refinement module that can be applied to the output feature maps of any existing convolutional neural networks in order to further improve classification accuracy. The proposed module, implemented by an attention-based recurrent neural network, can iteratively use its previous predictions to update attention and thereafter refine current predictions. In this way, the model is able to focus on a sub-region of input images to distinguish visually similar characters (see Figure 1 for an example). We evaluate its effectiveness on handwritten Chinese character recognition (HCCR) task and observe significant performance gain. HCCR task is challenging due to large number of classes and small differences between certain characters. To overcome these difficulties, we further propose a novel convolutional architecture that utilizes both low-level visual cues and high-level structural information. Together with the proposed iterative refinement module, our approach achieves an accuracy of 97.37%, outperforming previous methods that use raw images as input on ICDAR-2013 dataset [1].
Multiple Inhibition Mechanisms and Prediction of Drug–Drug Interactions: Status of Metabolism and Transporter Models as Exemplified by Gemfibrozil–Drug Interactions

To assess the consequences of multiple inhibitors and differential inhibition mechanisms on the prediction of 12 gemfibrozil drug–drug interactions (DDIs). In addition, qualitative zoning of transporter-related gemfibrozil and cyclosporine DDIs was investigated. The effect of gemfibrozil and its acyl-glucuronide on different enzymes was incorporated into a metabolic prediction model. The impact of CYP2C8 time-dependent inhibition by gemfibrozil acyl-glucuronide was assessed using repaglinide, cerivastatin, loperamide, rosiglitazone and pioglitazone DDIs. Gemfibrozil and cyclosporine inhibition data obtained in human embryonic kidney cells expressing OATP1B1 and hepatic input concentration ([I]in) were used for qualitative zoning of 14 transporter-mediated DDIs. Incorporation of time-dependent inhibition by gemfibrozil glucuronide showed no significant improvement in the prediction, as CYP2C8 contributed <65% to the overall elimination of the victim drugs investigated. Qualitative zoning of OATP1B1 DDIs resulted in no false negative predictions; yet the magnitude of observed interactions was significantly over-predicted. Time-dependent inhibition by gemfibrozil glucuronide is only important for victim drugs eliminated predominantly (>80%) via CYP2C8. Qualitative zoning of OATP1B1 inhibitors based on [I]in/K i is valid in drug screening to avoid false negatives. Refinement of the transporter model by incorporating the fraction of drug transported by a particular transporter is recommended.
Multidisciplinary rehabilitation in women following breast cancer treatment: a randomized controlled trial.

OBJECTIVE
To assess the effectiveness of a multidisciplinary ambulatory rehabilitation programme for women following definitive breast cancer treatment in an Australian community cohort.


METHODS
Eighty-five women in the community randomized to a treatment group (n = 43) for individualized high-intensity programme, or a control group (n = 42) comprising usual activity. The primary outcome Depression Anxiety Stress Scale (DASS) scale measured restriction in participation. Secondary measures included Perceived Impact Problem Profile (PIPP) and Cancer Rehabilitation Evaluation System Short-Form (CARES-SF); and Functional Independence Measure (FIM) motor subscale for activity limitation. Assessments were at baseline and 4 months.


RESULTS
Intention-to-treat analysis of data showed a significant difference between both groups in DASS Depression scores (p = 0.006) (moderate effect size, r > 0.3), PIPP Mobility (p = 0.05) and Participation (p = 0.04) scales, and CARES-SF Global score (p = 0.02) (small effect size, r < 0.3). The treatment group, compared with control group, showed significant improvement in the DASS Depression scores: 22/42 (52.4%) vs 12/37 (32.4%) (p = 0.02). No difference between groups was noted in the FIM scale.


CONCLUSION
Rehabilitation can benefit participation in breast cancer survivors. Evidence for specific rehabilitation interventions is needed. Integrated cancer programmes allow opportunities to evaluate patients in various settings, but require outcome research to develop service models for survivorship issues.
Psychoactive substance use, family context and mental health among Brazilian adolescents, National Adolescent School-based Health Survey (PeNSE 2012).

OBJECTIVE
To evaluate the association between the consumption of psychoactive substances (tobacco, alcohol and illicit drugs) and demographic variables, mental health and family context among school-aged children.


METHODS
The National Adolescent School-based Health Survey was held with a national sample of 109,104 students. Data regarding demographic variables, family background and mental health were collected. Logistic regression was used to evaluate the associations of interest.


RESULTS
Multivariate analyses showed that alcohol consumption was higher among girls, drug experimentation was more frequent among boys and that there was no difference between sexes for smoking. Being younger and mulatto were negatively associated with the use of tobacco, alcohol and illicit drugs. Also negatively associated with such risk behaviors were characteristics of the family context represented by: living with parents, having meals together and parental supervision (when parents know what the child does in their free time). Moreover, characteristics of mental health such as loneliness and insomnia were positively associated with use of tobacco, alcohol and illicit drugs. Not having friends was positively associated with use of tobacco and illicit drugs and negatively associated with alcohol use.


CONCLUSIONS
The study shows the protective effect of family supervision in the use of tobacco, alcohol and drugs and, on the contrary, the increasing use of substances according to aspects of mental health, such as loneliness, insomnia and the fact of not having friends. The study's findings may support actions from health and education professionals, as well as from the government and families in order to prevent the use of these substances by adolescents.
Point-Based Approximate Color Bleeding

This technical memo describes a fast point-based method for computing diffuse global illumination (color bleeding). The computation is 4–10 times faster than ray tracing, uses less memory, has no noise, and its run-time does not increase due to displacementmapped surfaces, complex shaders, or many complex light sources . These properties make the method suitable for movie production. The input to the method is a point cloud (surfel) representation of the directly illuminated geometry in the scene. The surfels in the point cloud are clustered together in an octree, and the power from each cluster is approximated using spherical harmonics. To compute the indirect illumination at a receiving point, we add the light from all surfels using three degrees of accuracy: ray tracing, single disk appoximation, and clustering. Huge point clouds are handled by reading the octree nodes and surfels on demand and caching them. Variations of the method efficiently compute area light illumination and soft shadows, final gathering for photon mapping, HDRI environment map illumination, multiple diffuse reflection bounces, ambient occlusion, and glossy reflection. The method has been used in production of more than a dozen feature films, for example for rendering Davy Jones and his crew in two of the “Pirates of the Caribbean” movies.
Statins improve survival in patients with cardioembolic stroke.

BACKGROUND AND PURPOSE
The objective of this study was to investigate the potential benefits of statin therapy on mortality and stroke recurrence after cardioembolic stroke.


METHODS
In this retrospective observational study, we analyzed data from 535 patients with first-ever cardioembolic stroke. Patients were classified into nonstatin, low-potency statin, and high-potency statin groups. The primary outcomes were time to mortality and time to recurrent stroke.


RESULTS
The mean duration of follow-up was 22.2 months. The cumulative mortality rate was 7% at the end of the first year and 10% at the end of the third year. Statin therapy was independently associated with reduced mortality (hazard ratio, 0.237; 95% confidence interval, 0.080-0.703 for nonstatin versus low-potency statin; hazard ratio, 0.158; 95% confidence interval, 0.037-0.686 for nonstatin versus high-potency statin). Statin treatment did not affect the incidence of recurrent stroke in patients with cardioembolic stroke.


CONCLUSIONS
Statin therapy could be associated with reduced mortality in patients with cardioembolic stroke.
Wireless Sensor Networks in Support of E-Health Applications

Declaration Declaration I hereby declare that except where specific reference is made to the work of others, the contents of this thesis are original and have not been submitted in whole or in part for consideration for any other degree or qualification in this, or any other university. This thesis is my own work and contains nothing, which is the outcome of work done in collaboration with others, except as specified in the text and Acknowledgements. Abstract I Abstract Nowadays, with the smart device developing and life quality improving, people's requirement of real-time, fast, accurate and smart health service has been increased. As the technology advances, E-Health Care concept has been emerging in the last decades and received extensive attention. With the help of Internet and computing technologies, a lot of E-Health Systems have been proposed that change traditional medical treatment mode to remote or online medical treatment. Furthermore, due to the rapidly development of Internet and wireless network in recent years, many enhanced E-Health Systems based on Wireless Sensor Network have been proposed that open a new research field. Sensor Network by taking the advantage of the latest technologies. The proposed E-Health System is a wireless and portable system, which consists of the Wireless E-Health Gateway and Wireless E-Health Sensor Nodes. The system has been further enhanced by Smart Technology that combined the advantages of the smart phone. The proposed system has change the mechanisms of traditional medical care and provide real-time, portable, accurate and flexible medical care services to users. With the E-Health System wieldy deployed, it requires powerful computing center to deal with the mass health record data. Cloud technology as an emerging technology has applied in the proposed system. This research has used Amazon Web Services (AWS) – Cloud Computing Services to develop a powerful, scalable and fast connection web service for proposed E-Health Management System. Abstract II The security issue is a common problem in the wireless network, and it is more important for E-Health System as the personal health data is private and should be safely transferred and storage. Hence, this research work also focused on the cryptographic algorithm to reinforce the security of E-Health System. Due to the limitations of embedded system resources, such as: lower computing, smaller battery, and less memory, which cannot support modem advance encryption standard. In this research, Rivest Cipher Version 5 (RC5) as the simple, security and software …
No attack necessary: the surprising dynamics of SSL trust relationships

Much of the Internet's end-to-end security relies on the SSL/TLS protocol along with its underlying X.509 certificate infrastructure. However, the system remains quite brittle due to its liberal delegation of signing authority: a single compromised certification authority undermines trust globally. Several recent high-profile incidents have demonstrated this shortcoming convincingly. Over time, the security community has proposed a number of counter measures to increase the security of the certificate ecosystem; many of these efforts monitor for what they consider tell-tale signs of man-in-the-middle attacks. In this work we set out to understand to which degree benign changes to the certificate ecosystem share structural properties with attacks, based on a large-scale data set of more than 17 billion SSL sessions. We find that common intuition falls short in assessing the maliciousness of an unknown certificate, since their typical artifacts routinely occur in benign contexts as well. We also discuss what impact our observations have on proposals aiming to improve the security of the SSL ecosystem.