LLukas22/scidocs huggingface dataset:
Acupuncture for the management of chronic headache: a systematic review.

OBJECTIVE
The objective of this review was to evaluate the efficacy of acupuncture for treatment of chronic headache.


METHODS
We searched the databases of Medline (1966-2007), CINAHL, The Cochrane Central Register of Controlled Trials (2006), and Scopus for randomized controlled trials investigating the use of acupuncture for chronic headache. Studies were included in which adults with chronic headache, including migraine, tension-type headache or both, were randomized to receive needling acupuncture treatment or control consisting of sham acupuncture, medication therapy, and other nonpharmacological treatments. We extracted the data on headache intensity, headache frequency, and response rate assessed at early and late follow-up periods.


RESULTS
Thirty-one studies were included in this review. The majority of included trials comparing true acupuncture and sham acupuncture showed a trend in favor of acupuncture. The combined response rate in the acupuncture group was significantly higher compared with sham acupuncture either at the early follow-up period (risk ratio [RR]: 1.19, 95% confidence interval [CI]: 1.08, 1.30) or late follow-up period (RR: 1.22, 95% CI: 1.04, 1.43). Combined data also showed acupuncture was superior to medication therapy for headache intensity (weighted mean difference: -8.54 mm, 95% CI: -15.52, -1.57), headache frequency (standard mean difference: -0.70, 95% CI: -1.38, -0.02), physical function (weighted mean difference: 4.16, 95% CI: 1.33, 6.98), and response rate (RR: 1.49, 95% CI: 1.02, 2.17).


CONCLUSION
Needling acupuncture is superior to sham acupuncture and medication therapy in improving headache intensity, frequency, and response rate.
Bipolar or rectified chromatic detection mechanisms?

It is widely accepted that human color vision is based on two types of cone-opponent mechanism, one differencing L and M cone types (loosely termed "red-green"), and the other differencing S with the L and M cones (loosely termed "blue-yellow"). The traditional view of the early processing of human color vision suggests that each of these cone-opponent mechanisms respond in a bipolar fashion to signal two opponent colors (red vs. green, blue vs. yellow). An alternative possibility is that each cone-opponent response, as well as the luminance response, is rectified, so producing separable signals for each pole (red, green, blue, yellow, light, and dark). In this study, we use psychophysical noise masking to determine whether the rectified model applies to detection by the postreceptoral mechanisms. We measured the contrast-detection thresholds of six test stimuli (red, green, blue, yellow, light, and dark), corresponding to the two poles of each of the three postreceptoral mechanisms. For each test, we determined whether noise presented to the cross pole had the same masking effect as noise presented to the same pole (e.g. comparing masking of luminance increments by luminance decrement noise (cross pole) and luminance increment noise (same pole)). To avoid stimulus cancellation, the test and mask were presented asynchronously in a "sandwich" arrangement (mask-test-mask). For the six test stimuli, we observed that noise masks presented to the cross pole did not raise the detection thresholds of the test, whereas noise presented to the same pole produced a substantial masking. This result suggests that each color signal (red, green, blue, and yellow) and luminance signal, (light and dark) is subserved by a separable mechanism. We suggest that the cone-opponent and luminance mechanisms have similar physiological bases, since a functional separation of the processing of cone increments and cone decrements could underlie both the separation of the luminance system into ON and OFF pathways as well as the splitting of the cone-opponent mechanisms into separable color poles.
Fatty liver is associated with impaired activity of PPARγ-coactivator 1α (PGC1α) and mitochondrial biogenesis in mice

Accumulating evidence indicates that mitochondria have a key role in non-alcoholic fatty liver disease (NAFLD). C57BL/6J mice were fed a choline-deficient, ethionine-supplemented (CDE) diet. Histological studies demonstrated accumulation of fat vacuoles in up to 90% of hepatocytes in mice fed the CDE diet for 14 days. In addition, a decrease in mitochondrial levels, together with an increase in superoxide radicals’ levels were observed, indicating elevation of oxidative stress in hepatocytes. ATP levels were decreased in livers from CDE-fed mice after overnight fasting. This was accompanied by a compensative and significant increase in peroxisome-proliferator-activated receptor-γ coactivator 1α (PGC1α) mRNA levels in comparison to control livers. However, there was a reduction in PGC1α protein levels in CDE-treated mice. Moreover, the expression of mitochondrial biogenesis genes nuclear respiratory factor 1 (NRF-1), mitochondrial transcription factor A (TFAM), mitochondrial transcription factor B1 (TFB1M) and mitochondrial transcription factor B2 (TFB2M), which are all regulated by PGC1α activity, remained unchanged in fasted CDE-treated mice. These results indicate impaired activity of PGC1α. The impaired activity was further confirmed by chromatin immunoprecipitation analysis, which demonstrated decreased interaction of PGC1α with promoters containing NRF-1 and NRF-2 response elements in mice fed the CDE diet. A decrease in PGC1α ability to activate the expression of the gluconeogenic gene phosphoenol-pyruvate carboxykinase was also observed. This study demonstrates, for the first time, that attenuated mitochondrial biogenesis in steatotic livers is associated with impaired biological activity of PGC1α.
Mutation rate estimates for 110 Y-chromosome STRs combining population and father–son pair data

Y-chromosome microsatellites (Y-STRs) are typically used for kinship analysis and forensic identification, as well as for inferences on population history and evolution. All applications would greatly benefit from reliable locus-specific mutation rates, to improve forensic probability calculations and interpretations of diversity data. However, estimates of mutation rate from father–son transmissions are available for few loci and have large confidence intervals, because of the small number of meiosis usually observed. By contrast, population data exist for many more Y-STRs, holding unused information about their mutation rates. To incorporate single locus diversity information into Y-STR mutation rate estimation, we performed a meta-analysis using pedigree data for 80 loci and individual haplotypes for 110 loci, from 29 and 93 published studies, respectively. By means of logistic regression we found that relative genetic diversity, motif size and repeat structure explain the variance of observed rates of mutations from meiosis. This model allowed us to predict locus-specific mutation rates (mean predicted mutation rate 2.12 × 10−3, SD=1.58 × 10−3), including estimates for 30 loci lacking meiosis observations and 41 with a previous estimate of zero. These estimates are more accurate than meiosis-based estimates when a small number of meiosis is available. We argue that our methodological approach, by taking into account locus diversity, could be also adapted to estimate population or lineage-specific mutation rates. Such adjusted estimates would represent valuable information for selecting the most reliable markers for a wide range of applications.
A Neural Network Based Approach to Automated E-Mail Classification

In this paper we present a neural network based system for automated e-mail filing into folders and antispam filtering. The experiments show that it is more accurate than several other techniques. We also investigate the effects of various feature selection, weighting and normalization methods, and also the portability of the anti-spam filter across different users.
A multi-site randomized study to compare the effects of Eye Movement Desensitization and Reprocessing (EMDR) added to TAU versus TAU to reduce craving and drinking behavior in alcohol dependent outpatients: study protocol

BACKGROUND
Addiction constitutes a major public health problem, and despite treatment, relapse rates remain very high. Preliminary findings suggest that Eye Movement Desensitization and Reprocessing (EMDR), an evidence-based treatment for PTSD, may also reduce craving and relapse rates when applied in substance abuse. This study aims to determine the feasibility, efficacy and effectiveness of EMDR when added to treatment as usual (TAU) for addiction in alcohol dependent outpatients, compared to TAU only.


METHODS/DESIGN
A single blinded study in which 100 adult patients with a primary DSM-IV-TR diagnosis of alcohol dependence or abuse receiving treatment in one of six Dutch outpatient addiction care facility sites, will be enrolled. After baseline assessment participants will be allocated to one of two treatment conditions (allocation ratio of 1:1) using a stratified (per site, per care pathway), blocked randomization procedure. The intervention consists of EMDR (seven weekly 90 minute sessions) + TAU or TAU only. Assessments are scheduled pre-treatment (t0), post-treatment (t0 + eight weeks), and one and six months post treatment. The effects of both treatment arms are compared on indices of (a) drinking behavior, (b) mediators, moderators and predictors of treatment outcome, (c) quality of life and d) safety, acceptability and feasibility of treatment. Repeated measures ANOVA's will be conducted using an intention-to-treat and per-protocol approach. Multiple imputation will be used to deal with missing values when possible.


DISCUSSION
This study adapts and extends the standard EMDR treatment for traumatized patients for use with patients with alcohol use disorders without psychological trauma.


TRIAL REGISTRATION
ClinicalTrial.gov: NCT01828866.
Hand rehabilitation following stroke: a pilot study of assisted finger extension training in a virtual environment.

BACKGROUND AND PURPOSE
The purpose of this pilot study was to investigate the impact of assisted motor training in a virtual environment on hand function in stroke survivors.


PARTICIPANTS
Fifteen volunteer stroke survivors (32-88 years old) with chronic upper extremity hemiparesis (1-38 years post incident) took part.


METHOD
Participants had 6 weeks of training in reach-to-grasp of virtual and actual objects. They were randomized to one of three groups: assistance of digit extension provided by a novel cable orthosis, assistance provided by a novel pneumatic orthosis, or no assistance provided. Hand performance was evaluated at baseline, immediately following training, and 1 month after completion of training. Clinical assessments included the Wolf Motor Function Test (WMFT), Box and Blocks Test (BB), Upper Extremity Fugl-Meyer Test (FM), and Rancho Los Amigos Functional Test of the Hemiparetic Upper Extremity (RLA). Biomechanical assessments included grip strength, extension range of motion and velocity, spasticity, and isometric strength.


RESULTS
Participants demonstrated a significant decrease in time to perform functional tasks for the WMFT (p = .02), an increase in the number of blocks successfully grasped and released during the BB (p = .09), and an increase for the FM score (p = .08). There were no statistically significant changes in time to complete tasks on the RLA or any of the biomechanical measures. Assistance of extension did not have a significant effect.


DISCUSSION AND CONCLUSION
After the training period, participants in all 3 groups demonstrated a decrease in time to perform some of the functional tasks. Although the overall gains were slight, the general acceptance of the novel rehabilitation tools by a population with substantial impairment suggests that a larger randomized controlled trial, potentially in a subacute population, may be warranted.
Improved Multimodal Deep Learning with Variation of Information

Abstract Deep learning has been successfully applied to multimodal representation learning problems, with a common strategy of learning joint representations that are shared across multiple modalities on top of layers of modality-specific networks. Nonetheless, there still remains a question about how to effectively learn associations between heterogeneous data modalities; in particular, a good generative model of multimodal data should be able to reason about missing data modality given the rest of data modalities. In this paper, we propose a novel multimodal representation learning framework that explicitly aims at this goal by training the model to minimize the variation of information rather than maximizing likelihood. We provide a theoretical insight into why the proposed learning objective is sufficient to estimate the data-generating joint distribution of multimodal data. We apply our method to restricted Boltzmann machines and introduce learning algorithms based on contrastive divergence and multi-prediction training. Further, we extend our method to deep networks with recurrent encoding for finetuning. In experiments, we demonstrate the state-of-the-art visual recognition performance on MIR-Flickr and PASCAL VOC2007 database with and without text observations.
Aqueous enzyme assisted oil extraction from oilseeds and emulsion de-emulsifying methods: a review

14 Regulatory, safety, and environmental issues have prompted the development of aqueous 15 enzymatic extraction (AEE) for extracting components from oil-bearing materials. The 16 emulsion resulting from AEE requires de-emulsification to separate the oil; when enzymes 17 are used for this purpose, the method is known as aqueous enzymatic emulsion de18 emulsification (AEED). In general, enzyme assisted oil extraction is known to yield oil 19 having highly favourable characteristics. This review covers technological aspects of 20 enzyme assisted oil extraction, and explores the quality characteristics of the oils obtained, 21 focusing particularly on recent efforts undertaken to improve process economics by 22 recovering and reusing enzymes. 23 24
Right ventricular dilation on CT pulmonary angiogram independently predicts mortality in pulmonary embolism.

BACKGROUND
The aim of this study was to determine the prognostic significance of right ventricular dilation on CT pulmonary angiogram in acute pulmonary embolism and to distinguish if this feature predicts mortality independently of the Pulmonary Embolism Severity Index, an established admission severity score.


METHODS
A retrospective study of patients admitted with pulmonary embolism confirmed by CT pulmonary angiogram to three teaching hospitals in East Scotland between January 2005 and July 2007. Two radiologists judged presence of right ventricular dilation on CT pulmonary angiogram independently. The outcome of interest was 30 day mortality. Multivariable logistic regression was used to compare this outcome in patients with right ventricular dilation compared to those without right ventricular dilation, adjusting for Pulmonary Embolism Severity Index score.


RESULTS
There were 585 patients included and 30.4% had right ventricular dilation on CT pulmonary angiogram. Patients with right ventricular dilation had increased 30 day mortality rates compared to patients without right ventricular dilation (12.4% vs. 5.4%; p=0.006). Survival analysis showed that a significantly greater proportion of deaths in the right ventricular dilation group occurred within the first 48h after admission compared to the group without right ventricular dilation (45.5% deaths vs. 9.1%; p=0.016). On multivariable analysis, adjusting for Pulmonary Embolism Severity Index score, right ventricular dilation was independently associated with increased 30 day mortality (OR 2.98; 95% CI 1.54-5.75; p=0.001).


CONCLUSION
Right ventricular dilation on CT pulmonary angiogram is an independent predictor of 30 day mortality in acute pulmonary embolism.
Laser angioplasty of restenosed coronary stents: results of a multicenter surveillance trial. The Laser Angioplasty of Restenosed Stents (LARS) Investigators.

OBJECTIVES
This study evaluated safety and efficacy of excimer laser angioplasty for treatment of restenosed or occluded coronary stents.


BACKGROUND
Balloon angioplasty of in-stent restenosis is limited by a high recurrence rate. Debulking by laser angioplasty is a novel concept to treat in-stent restenosis.


METHODS
A total of 440 patients with restenoses or occlusions in 527 stents were enrolled for treatment with concentric or eccentric laser catheters and adjunctive balloon angioplasty.


RESULTS
Laser angioplasty success (< or =50% diameter stenosis after laser treatment or successful passage with a 2.0-mm or 1.7-mm eccentric laser catheter) was achieved in 92% of patients. Adjunctive balloon angioplasty was performed in 99%. Procedural success (laser angioplasty success followed by < or =30% stenosis with or without balloon angioplasty) was 91%. There was neither a significant difference in success with respect to lesion length, nor were there differences between small and large vessels or native vessels and vein grafts. Success was higher and residual stenosis lower using large or eccentric catheters. Serious adverse events included death (1.6%, not directly laser catheter related), Q-wave myocardial infarction (0.5%), non-Q-wave infarction (2.7%), cardiac tamponade (0.5%) and stent damage (0.5%). Perforations after laser treatment occurred in 0.9% of patients and after balloon angioplasty in 0.2%. Dissections were visible in 4.8% of patients after laser treatment and in 9.3% after balloon angioplasty. Reinterventions during hospitalization were necessary in 0.9% of patients; bypass surgery was performed in 0.2%.


CONCLUSIONS
Excimer laser angioplasty with adjunctive balloon angioplasty is a safe and efficient technology to treat in-stent restenoses. These data justify a randomized comparison with balloon angioplasty.
A Short Introduction to Boosting Yoav

Boosting is a general method for improving the accuracy of any given learning algorithm. This short overview paper introduces the boosting algorithm AdaBoost, and explains the underlying theory of boosting, including an explanation of why boosting often does not suffer from overfitting as well as boosting’s relationship to support-vector machines. Some examples of recent applications of boosting are also described.
Smart home-based health platform for behavioral monitoring and alteration of diabetes patients.

BACKGROUND
Researchers and medical practitioners have long sought the ability to continuously and automatically monitor patients beyond the confines of a doctor's office. We describe a smart home monitoring and analysis platform that facilitates the automatic gathering of rich databases of behavioral information in a manner that is transparent to the patient. Collected information will be automatically or manually analyzed and reported to the caregivers and may be interpreted for behavioral modification in the patient.


METHOD
Our health platform consists of five technology layers. The architecture is designed to be flexible, extensible, and transparent, to support plug-and-play operation of new devices and components, and to provide remote monitoring and programming opportunities.


RESULTS
The smart home-based health platform technologies have been tested in two physical smart environments. Data that are collected in these implemented physical layers are processed and analyzed by our activity recognition and chewing classification algorithms. All of these components have yielded accurate analyses for subjects in the smart environment test beds.


CONCLUSIONS
This work represents an important first step in the field of smart environment-based health monitoring and assistance. The architecture can be used to monitor the activity, diet, and exercise compliance of diabetes patients and evaluate the effects of alternative medicine and behavior regimens. We believe these technologies are essential for providing accessible, low-cost health assistance in an individual's own home and for providing the best possible quality of life for individuals with diabetes.
Pulmonary nodules discovered during the initial evaluation of pediatric patients with bone and soft-tissue sarcoma.

BACKGROUND
Recent technical advances in CT imaging and data processing have improved the ability to detect small pulmonary nodules in children with bone and soft-tissue sarcoma undergoing radiologic imaging of the chest.


PROCEDURE
We retrospectively studied medical records and CT chest scans at initial diagnosis of 210 children and young adults presenting to a single pediatric tertiary care hospital specialized in oncology for evaluation of bone or soft-tissue sarcoma. We correlated clinical features and CT scan findings with patient outcome and histologic results, when available.


RESULTS
Pulmonary nodules (diameter </=3 cm) were identified in 66 patients (31.4%). The median size of the largest nodule in each patient was 5 mm (range, 1-20 mm). Of patients who underwent biopsy or resection of a nodule, 41.7% had metastatic pulmonary disease. Having more than three nodules and a bilateral distribution were associated with histology-proven metastasis (P = 0.002 and P = 0.011, respectively) and an increased frequency of recurrent or progressive metastatic disease in the lung (P < 0.001 and P = 0.023, respectively). Greater size of the largest nodule present showed a trend towards biopsy-proven lung metastasis, but did not reach statistical significance (P = 0.06). When biopsy or resection was not performed, increased size was significantly associated with nodules being presumed as malignant (median, 16.8 mm compared to 4.0 mm for biopsied nodules, P < 0.001).


CONCLUSIONS
Pulmonary nodules were commonly detected during the initial evaluation of pediatric cases of sarcoma. Number and distribution of nodules were significantly associated with metastatic disease and outcome.
Feelings of Alienation and Community among Higher Education Students in a Virtual Classroom.

Although the professional literature identifies feelings of alienation and low sense of community as factors that help explain relatively low student persistence rates in distance education programs, no studies have attempted to investigate the relationship between these two constructs. Accordingly, the present study uses canonical correlation analysis to determine if and how a set of three alienation variables is related to a set of two classroom community variables in a sample (N =117) of online graduate students. The results suggest that the two sets of variables are related along two reliable multivariate dimensions. Implications for college teaching are discussed. D 2005 Elsevier Inc. All rights reserved.