LLukas22/scidocs huggingface dataset:
Association of out-of-hospital advanced airway management with outcomes after traumatic brain injury and hemorrhagic shock in the ROC hypertonic saline trial.

OBJECTIVE
Prior studies suggest adverse associations between out-of-hospital advanced airway management (AAM) and patient outcomes after major trauma. This secondary analysis of data from the Resuscitation Outcomes Consortium Hypertonic Saline Trial evaluated associations between out-of-hospital AAM and outcomes in patients suffering isolated severe traumatic brain injury (TBI) or haemorrhagic shock.


METHODS
This multicentre study included adults with severe TBI (GCS ≤8) or haemorrhagic shock (SBP ≤70 mm Hg, or (SBP 71-90 mm Hg and heart rate ≥108 bpm)). We compared patients receiving out-of-hospital AAM with those receiving emergency department AAM. We evaluated the associations between airway strategy and patient outcomes (28-day mortality, and 6-month poor neurologic or functional outcome) and airway strategy, adjusting for confounders. Analysis was stratified by (1) patients with isolated severe TBI and (2) patients with haemorrhagic shock with or without severe TBI.


RESULTS
Of 2135 patients, we studied 1116 TBI and 528 shock; excluding 491 who died in the field, did not receive AAM or had missing data. In the shock cohort, out-of-hospital AAM was associated with increased 28-day mortality (adjusted OR 5.14; 95% CI 2.42 to 10.90). In TBI, out-of-hospital AAM showed a tendency towards increased 28-day mortality (adjusted OR 1.57; 95% CI 0.93 to 2.64) and 6-month poor functional outcome (1.63; 1.00 to 2.68), but these differences were not statistically significant. Out-of-hospital AAM was associated with poorer 6-month TBI neurologic outcome (1.80; 1.09 to 2.96).


CONCLUSIONS
Out-of-hospital AAM was associated with increased mortality after haemorrhagic shock. The adverse association between out-of-hospital AAM and injury outcome is most pronounced in patients with haemorrhagic shock.
Neuro-ophthalmology of pupillary function – practical guidelines

An overview how to examine pupillary function and handle pupillary abnormalities is presented. The following issues are discussed: swinging flashlight test, clinical relevance of a relative afferent pupillary defect, anisocoria with normal light reaction, diagnosis and evaluation of Horner’s syndrome, differential diagnosis of impaired light reaction, tonic pupil, third nerve palsy, supranuclear pupillary disorders, iris problems, systemic disease, measurement of sleepiness, and pupillography.
Effect of homeopathic Lycopodium clavatum on memory functions and cerebral blood flow in memory-impaired rats.

BACKGROUND
Lycopodium clavatum (Lyc) is a widely used homeopathic medicine for the liver, urinary and digestive disorders. Recently, acetyl cholinesterase (AchE) inhibitory activity has been found in Lyc alkaloid extract, which could be beneficial in dementia disorder. However, the effect of Lyc has not yet been explored in animal model of memory impairment and on cerebral blood flow.


AIM
The present study was planned to explore the effect of Lyc on learning and memory function and cerebral blood flow (CBF) in intracerebroventricularly (ICV) administered streptozotocin (STZ) induced memory impairment in rats.


MATERIALS AND METHODS
Memory deficit was induced by ICV administration of STZ (3 mg/kg) in rats on 1st and 3rd day. Male SD rats were treated with Lyc Mother Tincture (MT) 30, 200 and 1000 for 17 days. Learning and memory was evaluated by Morris water maze test on 14th, 15th and 16th day. CBF was measured by Laser Doppler flow meter on 17th day.


RESULTS
STZ (ICV) treated rats showed impairment in learning and memory along with reduced CBF. Lyc MT and 200 showed improvement in learning and memory. There was increased CBF in STZ (ICV) treated rats at all the potencies of Lyc studied.


CONCLUSION
The above study suggests that Lyc may be used as a drug of choice in condition of memory impairment due to its beneficial effect on CBF.
Common and rare variants in SCN10A modulate the risk of atrial fibrillation.

BACKGROUND
Genome-wide association studies have shown that the common single nucleotide polymorphism rs6800541 located in SCN10A, encoding the voltage-gated Nav1.8 sodium channel, is associated with PR-interval prolongation and atrial fibrillation (AF). Single nucleotide polymorphism rs6800541 is in high linkage disequilibrium with the nonsynonymous variant in SCN10A, rs6795970 (V1073A, r(2)=0.933). We therefore sought to determine whether common and rare SCN10A variants are associated with early onset AF.


METHODS AND RESULTS
SCN10A was sequenced in 225 AF patients in whom there was no evidence of other cardiovascular disease or dysfunction (lone AF). In an association study of the rs6795970 single nucleotide polymorphism variant, we included 515 AF patients and 2 control cohorts of 730 individuals free of AF and 6161 randomly sampled individuals. Functional characterization of SCN10A variants was performed by whole-cell patch-clamping. In the lone AF cohort, 9 rare missense variants and 1 splice site donor variant were detected. Interestingly, AF patients were found to have higher G allele frequency of rs6795970, which encodes the alanine variant at position 1073 (described from here on as A1073, odds ratio =1.35 [1.16-1.54]; P=2.3×10(-5)). Both of the common variants, A1073 and P1092, induced a gain-of-channel function, whereas the rare missense variants, V94G and R1588Q, resulted in a loss-of-channel function.


CONCLUSIONS
The common variant A1073 is associated with increased susceptibility to AF. Both rare and common variants have effect on the function of the channel, indicating that these variants influence susceptibility to AF. Hence, our study suggests that SCN10A variations are involved in the genesis of AF.
Plasma vitamin D and prostate cancer risk: results from the Selenium and Vitamin E Cancer Prevention Trial.

BACKGROUND
In vitro, animal, and ecological studies suggest that inadequate vitamin D intake could increase prostate cancer risk, but results of biomarker-based longitudinal studies are inconsistent.


METHODS
Data for this case (n = 1,731) and cohort (n = 3,203) analysis are from the Selenium and Vitamin E Cancer Prevention Trial. Cox proportional hazard models were used to test whether baseline plasma vitamin D (25-hydroxy) concentration, adjusted for season of blood collection, was associated with the risk of total and Gleason score 2-6, 7-10, and 8-10 prostate cancer.


RESULTS
There were U-shaped associations of vitamin D with total cancer risk: compared with the first quintile, HRs were 0.83 [95% confidence interval (CI), 0.66-1.03; P = 0.092], 0.74 (95% CI, 0.59-0.92; P = 0.008), 0.86 (95% CI, 0.69-1.07; P = 0.181), and 0.98 (95% CI, 0.78-1.21; P = 0.823), for the second through fifth quintiles, respectively. For Gleason 7-10 cancer, corresponding HRs were 0.63 (95% CI, 0.45-0.90; P = 0.010), 0.66 (95% CI, 0.47-0.92; P = 0.016), 0.79 (95% CI, 0.56-1.10; P = 0.165), and 0.88 (95% CI, 0.63-1.22; P = 0.436). Among African American men (n = 250 cases), higher vitamin D was associated with reduced risk of Gleason 7-10 cancer only: in the a posteriori contrast of quintiles 1-2 versus 3-5, the HR was 0.55 (95% CI, 0.31-0.97; P = 0.037), with no evidence of dose-response or a U-shaped association.


CONCLUSIONS
Both low and high vitamin D concentrations were associated with increased risk of prostate cancer, and more strongly for high-grade disease.


IMPACT
The optimal range of circulating vitamin D for prostate cancer prevention may be narrow. Supplementation of men with adequate levels may be harmful. Cancer Epidemiol Biomarkers Prev; 23(8); 1494-504. ©2014 AACR.
DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition

Most of the previous work on video action recognition use complex hand-designed local features, such as SIFT, HOG and SURF, but these approaches are implemented sophisticatedly and difficult to be extended to other sensor modalities. Recent studies discover that there are no universally best hand-engineered features for all datasets, and learning features directly from the data may be more advantageous. One such endeavor is Slow Feature Analysis (SFA) proposed by Wiskott and Sejnowski [33]. SFA can learn the invariant and slowly varying features from input signals and has been proved to be valuable in human action recognition [34]. It is also observed that the multi-layer feature representation has succeeded remarkably in widespread machine learning applications. In this paper, we propose to combine SFA with deep learning techniques to learn hierarchical representations from the video data itself. Specifically, we use a two-layered SFA learning structure with 3D convolution and max pooling operations to scale up the method to large inputs and capture abstract and structural features from the video. Thus, the proposed method is suitable for action recognition. At the same time, sharing the same merits of deep learning, the proposed method is generic and fully automated. Our classification results on Hollywood2, KTH and UCF Sports are competitive with previously published results. To highlight some, on the KTH dataset, our recognition rate shows approximately 1% improvement in comparison to state-of-the-art methods even without supervision or dense sampling.
An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment

Interval type-2 fuzzy set (IT2FS) offers interesting avenue to handle high order information and uncertainty in decision support system (DSS) when dealing with both extrinsic and intrinsic aspects of uncertainty. Recently, multiple attribute decision making (MADM) problems with interval type-2 fuzzy information have received increasing attentions both from researchers and practitioners. As a result, a number of interval type-2 fuzzy MADM methods have been developed. In this paper, we extend the VIKOR (VlseKriterijumska Optimizacijia I Kompromisno Resenje, in Serbian) method based on the prospect theory to accommodate interval type-2 fuzzy circumstances. First, we propose a new distance measure for IT2FS, which is comes as a sound alternative when being compared with the existing interval type-2 fuzzy distance measures. Then, a decision model integrating VIKOR method and prospect theory is proposed. A case study concerning a high-tech risk evaluation is provided to illustrate the applicability of the proposed method. In addition, a comparative analysis with interval type-2 fuzzy TOPSIS method is also presented. 2015 Elsevier B.V. All rights reserved.
Neighbor number, valley seeking and clustering

This paper proposes a novel nonparametric clustering algorithm capable of identifying shape-free clusters. This algorithm is based on a nonparametric estimation of the normalized density derivative (NDD) and the local convexity of the density distribution function, both of which are represented in a very concise form in terms of neighbor numbers. We use NDD to measure the dissimilarity between each pair of observations in a local neighborhood and to build a connectivity graph. Combined with the local convexity, this similarity measure can detect observations in local minima (valleys) of the density function, which separate observations in different major clusters. We demonstrate that this algorithm has a close relationship with the single-linkage hierarchical clustering and can be viewed as its extension. The performance of the algorithm is tested with both synthetic and real datasets. An example of color image segmentation is also given. Comparisons with several representative existing algorithms show that the proposed method can robustly identify major clusters even when there are complex configurations and/or large overlaps. 2006 Elsevier B.V. All rights reserved.
Unethical computer using behavior scale: A study of reliability and validity on Turkish university students

This study was carried out in a Turkish university with 216 undergraduate students of computer technology as respondents. The study aimed to develop a scale (UECUBS) to determine the unethical computer use behavior. A factor analysis of the related items revealed that the factors were can be divided under five headings; intellectual property, social impact, safety and quality, net integrity and information integrity. 2005 Elsevier Ltd. All rights reserved.
Atrophic and a mixed pattern of acne scars improved with a 1320-nm Nd:YAG laser.

BACKGROUND
Acne scar correction remains a challenge to the dermatologic surgeon. With nonablative laser resurfacing, this correction is imputed to dermal collagen remodeling and acne scar reorganization. Although atrophic acne scars tend to respond to laser treatment, the deeper ice pick and boxcar scars tend to be laser resistant.


OBJECTIVE
To investigate the treatment of atrophic and a mixed pattern of facial acne scars, we evaluated a 1320-nm Nd:YAG laser. Twelve subjects with atrophic facial acne scars (N=6) or a combination of atrophic and pitted, sclerotic, or boxcar scars (N=6) received three laser treatments. Physician and patient acne scar ratings were performed at baseline and at 6 months after the last treatment. Acne scars were rated with a 10-point severity scale.


RESULTS
Mean acne scar improvement was 1.5 points on physician assessments (P=0.002) and 2.2 points on patient assessments (P=0.01). Acne scars were rated more severely by patients than by the physician at all intervals. There were no noted complications at 6 months.


CONCLUSION
The 1320-nm Nd:YAG laser is a safe and effective nonablative modality for the improvement of atrophic and a mixed pattern of facial acne scars.
The Neuronal Workspace Model: Conscious Processing and Learning

research and educational use including without limitation use in instruction at your institution, sending it to specific colleagues who you know, and providing a copy to your institution's administrator. All other uses, reproduction and distribution, including without limitation commercial reprints, selling or licensing copies or access, or posting on open internet sites, your personal or institution's website or repository, are prohibited. For exceptions, permission may be sought for such use through Elsevier's permissions site at:
ESTIMATION OF RETURN ON INVESTMENT IN SHARE MARKET THROUGH ANN*

The stock market is one of the most popular investing places because of its expected high profit. Traditionally, technical analysis approach, that predicts stock prices based on historical prices and volume, basic concepts of trends, price patterns and oscillators, is commonly used by stock investors to aid investment decisions. Advanced intelligent techniques, ranging from pure mathematical models and expert systems to fuzzy logic networks, have also been used by many financial trading systems for investing and predicting stock prices. In recent years, most of the researchers have been concentrating their research work on the future prediction of share market prices by using Neural Networks. But, in this chapter we newly propose a methodology in which the neural network is applied to the investor's financial decision making to invest all type of shares irrespective of the high / low index value of the scripts, in a continuous time frame work and further it is further extended to obtain the expected return on investment through the Neural Networks and finally it is compared with the 93 actual value. The proposed network has been tested with stock data obtained from the Indian Share Market BSE Index. Finally, the design, implementation and performance of the proposed neural network are described. 3.
Nuclear phytochrome A signaling promotes phototropism in Arabidopsis.

Phototropin photoreceptors (phot1 and phot2 in Arabidopsis thaliana) enable responses to directional light cues (e.g., positive phototropism in the hypocotyl). In Arabidopsis, phot1 is essential for phototropism in response to low light, a response that is also modulated by phytochrome A (phyA), representing a classical example of photoreceptor coaction. The molecular mechanisms underlying promotion of phototropism by phyA remain unclear. Most phyA responses require nuclear accumulation of the photoreceptor, but interestingly, it has been proposed that cytosolic phyA promotes phototropism. By comparing the kinetics of phototropism in seedlings with different subcellular localizations of phyA, we show that nuclear phyA accelerates the phototropic response, whereas in the fhy1 fhl mutant, in which phyA remains in the cytosol, phototropic bending is slower than in the wild type. Consistent with this data, we find that transcription factors needed for full phyA responses are needed for normal phototropism. Moreover, we show that phyA is the primary photoreceptor promoting the expression of phototropism regulators in low light (e.g., PHYTOCHROME KINASE SUBSTRATE1 [PKS1] and ROOT PHOTO TROPISM2 [RPT2]). Although phyA remains cytosolic in fhy1 fhl, induction of PKS1 and RPT2 expression still occurs in fhy1 fhl, indicating that a low level of nuclear phyA signaling is still present in fhy1 fhl.
The Prevalence and Risk Factors of Functional Dyspepsia in a Multiethnic Population in the United States

BACKGROUND AND AIMS:The prevalence of functional dyspepsia (FD) in the general population is not known. The aim of this study is to measure the prevalence of FD and its risk factors in a multiethnic volunteer sample of the U.S. population.METHODS:One thousand employees at the Houston VA Medical Center were targeted with a symptom questionnaire asking about upper abdominal symptoms, followed by a request to undergo endsocopy. Dyspepsia was defined by the presence of epigastric pain, fullness, nausea, or vomiting, and FD was defined as dyspepsia in the absence of esophageal erosions, gastric ulcers, or duodenal ulcers or erosions. The presence of dyspepsia and FD was examined in multiple logistic regression analyses.RESULTS:A total of 465 employees completed the relevant questions and of those 203 had endoscopic examination. The age-adjusted prevalence rate of dyspepsia was 31.9 per 100 (95% CI: 26.7–37.1), and 15.8 per 100 (95% CI: 9.6–22.0) if participants with concomitant heartburn or acid regurgitation were excluded. Subjects with dyspepsia were more likely to report smoking, using antacids, aspirin or nonsteroidal antiinflammatory drugs (NSAIDs), and consulting a physician for their symptoms (p < 0.05) than participants without dyspepsia. Most (64.5%) participants with dyspepsia who underwent endoscopy had FD. The age-adjusted prevalence rate of FD was 29.2 per 100 (95% CI: 21.9–36.5), and 15.0 per 100 (6.7–23.3) if subjects with GERD were excluded. Apart from a trend towards association with older age in the multiple regression analysis, there were no significant predictors of FD among participants with dyspepsia.CONCLUSIONS:Most subjects with dyspepsia have FD. The prevalence of FD is high but predictors of FD remain poorly defined.
Use of Social Media for Disaster Management: A Prescriptive Framework

Social media is emerging as an important information-based communication tool for disaster management. Yet there are many relief organizations that are not able to develop strategies and allocate resources to effectively use social media for disaster management. The reason behind this inability may be a lack of understanding regarding the different functionalities of social media. In this paper, we examine the literature using content analysis to understand the current usage of social media in disaster management. We draw on the honeycomb framework and the results of our content analysis to suggest a new framework that can help in utilizing social media more effectively during the different phases of disaster management. We also discuss the implications of our study. KEywORDS Disaster Management, Disaster Phases, Honeycomb Framework, Social Media Functionality, Social Media
[French version of screening questionnaire for high-functioning autism or Asperger syndrome in adolescent: Autism Spectrum Quotient, Empathy Quotient and Systemizing Quotient. Protocol and questionnaire translation].

AIM
No tools are currently available in France, for the detection of autism without mental retardation (high functioning autism and Asperger syndrome here referred as TED SDI). Use of screening tests by first-line clinicians would allow better detection of children who are likely to display such difficulties and to improve patients' care. In England, 3 questionnaires have been evaluated: Autism Spectrum Quotient (AQ), Empathy Quotient (EQ), and Systemizing Quotient (SQ). This is the translation and evaluation of 3 questionnaires in France for TED SDI and control adolescents.


METHODS
The translation of the questionnaires into French required two simultaneous translations, two back-translations and two consensus meetings. This is a cross-sectional study comparing scores obtained with the three AQ, EQ and SQ questionnaires. These questionnaires were completed by the parents of four groups of adolescents 11-18 years: 100 TED SDI adolescents (50 with IQ ≥ 85 and 50 with 70≤IQ<85), 50 adolescents with another psychiatric disorder (TP) and 200 control adolescents (T).


RESULTS
580 questionnaires have been sent to 40 recruiting centres. By the 28th of February, 2010, 277 completed questionnaires were received completed (TED SDI: 70 (70%); TP: 25 (50%) et T: 182 (91%)). In the control group, 92 girls (mean 14.4±1.7 years) and 66 boys (14.5±1.7 years) were recruited. In the TED SDI group, 4 girls (14.3±2.4 years) and 42 boys (14.5±1.7 years) were recruited. One girl (81) and 6 boys (72.2±7.7) have an IQ between 70 and 85, and 3 girls (95.3±4.2) and 36 boys (102.9±12) have an IQ higher than 85. In the TP group, 9 girls (15.9±1.7 years) and 4 boys (15.8±1.9 years) were recruited.


CONCLUSION
The aim of this study is to make the AQ, EQ and SQ questionnaires available in French for French speaking clinicians. This study will allow a rigorous evaluation of the usefulness of the AQ questionnaire in the screening of TED SDI in adolescents.