LLukas22/scidocs huggingface dataset:
The combined impact of virtual reality neurorehabilitation and its interfaces on upper extremity functional recovery in patients with chronic stroke.

BACKGROUND AND PURPOSE
Although there is strong evidence on the beneficial effects of virtual reality (VR)-based rehabilitation, it is not yet well understood how the different aspects of these systems affect recovery. Consequently, we do not exactly know what features of VR neurorehabilitation systems are decisive in conveying their beneficial effects.


METHODS
To specifically address this issue, we developed 3 different configurations of the same VR-based rehabilitation system, the Rehabilitation Gaming System, using 3 different interface technologies: vision-based tracking, haptics, and a passive exoskeleton. Forty-four patients with chronic stroke were randomly allocated to one of the configurations and used the system for 35 minutes a day for 5 days a week during 4 weeks.


RESULTS
Our results revealed significant within-subject improvements at most of the standard clinical evaluation scales for all groups. Specifically we observe that the beneficial effects of VR-based training are modulated by the use/nonuse of compensatory movement strategies and the specific sensorimotor contingencies presented to the user, that is, visual feedback versus combined visual haptic feedback.


CONCLUSIONS
Our findings suggest that the beneficial effects of VR-based neurorehabilitation systems such as the Rehabilitation Gaming System for the treatment of chronic stroke depend on the specific interface systems used. These results have strong implications for the design of future VR rehabilitation strategies that aim at maximizing functional outcomes and their retention. Clinical Trial Registration- This trial was not registered because it is a small clinical study that evaluates the feasibility of prototype devices.
Consumption of cosmetic products by the French population second part: Amount data.

The aim of the study was to assess the amount per use of cosmetic products consumed at home by the adult, child and baby French population. 1078 men and women participated in the study which was performed in four cities of France. This enquiry was performed on 106 cosmetics including general hygiene, skin care, hair care, hair styling, make-up, fragrances, solar, shaving and depilatory, and baby products. Coupled to frequency data previously obtained (Ficheux et al., 2015), these amounts per use data will be used in order to assess the exposure to cosmetics by the French population. These current exposure values could be useful for safety assessors and for safety agencies.
The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects

The Berlin brain-computer interface (BBCI) project develops a noninvasive BCI system whose key features are: 1) the use of well-established motor competences as control paradigms; 2) high-dimensional features from multichannel EEG; and 3) advanced machine-learning techniques. Spatio-spectral changes of sensorimotor rhythms are used to discriminate imagined movements (left hand, right hand, and foot). A previous feedback study [M. Krauledat, K.-R. Muller, and G. Curio. (2007) The non-invasive Berlin brain-computer Interface: Fast acquisition of effective performance in untrained subjects. NeuroImage. [Online]. 37(2), pp. 539--550. Available: http://dx.doi.org/10.1016/j.neuroimage.2007.01.051] with ten subjects provided preliminary evidence that the BBCI system can be operated at high accuracy for subjects with less than five prior BCI exposures. Here, we demonstrate in a group of 14 fully BCI-naive subjects that 8 out of 14 BCI novices can perform at >84% accuracy in their very first BCI session, and a further four subjects at >70%. Thus, 12 out of 14 BCI-novices had significant above-chance level performances without any subject training even in the first session, as based on an optimized EEG analysis by advanced machine-learning algorithms.
Market Time Series Prediction with Recurrent Neural Networks

We used echo state networks, a subclass of recurrent neural networks, to predict stock prices of the S&P 500. Our network outperformed a Kalman filter, predicting more of the higher frequency fluctuations in stock price. The Challenge of Time Series Prediction Learning from past history is a fudamentality ill-posed. A model may fit past data well but not perform well when presented with new inputs. With recurrent neural networks (RNNs), we leverage the modeling abilities of neural networks (NNs) for time series forecastings. Feedforward NNs have done well in classification tasks such as handwriting recognition, however in dynamical environments, we need techniques that account for history. In RNNs, signals passing through recurrent connections constitute an effective memory for the network, which can then use information in memory to better predict future time series values. Unfortunately, RNNs are difficult to train. Traditional techniques used with feedforward NNs such as backpropagation fail to yield acceptable performance. However, subsets of RNNs that are more amenable to training have been developed in the emerging field known as reservoir computing. In reservoir computing, the recurrent connections of the network are viewed as a fixed reservoir used to map inputs into a high dimensional, dynamical space–a similar idea to the support vector machine. With a sufficiently high dimensional space, a simple linear decode can be used to approximate any function varying with time. Two reservoir networks known as Echo State Networks (ESNs) and Liquid State Machines (LSMs) have met with success in modeling nonlinear dynamical systems [2, 4]. We focus on the former, ESN, in this project and use it to predict stock prices and compare its performance to a Kalman filter. In an ESN, only the output weights are trained (see Figure 1). Echo State Network Implementation The state vector, x(t), of the network is governed by x(t+ 1) = f ( W u(t) +Wx(t) +W y(t) ) , (1) where f(·) = tanh(·), W in describes the weights connecting the inputs to the network, u(t) is the input vector, W describes the recurrent weights, W fb describes the feedback weights connecting the outputs back to the network, and y(t) are the outputs. The output y(t) is governed by y(t) = W z(t), where z(t) = [x(t),u(t)] is the extended state. By including the input vector, the extended state allows the network to use a linear combination of the inputs in addition to the state to form the output. ESN creation follows the procedure outlined in [3]. Briefly, 1. Initialize network of N reservoir units with random W , W , and W .
Enterprise Resource Planning for Construction Business Management

Enterprise resource planning ~ERP! was originated in the manufacturing industry. It provides a general working environ for an enterprise to integrate its major business management functions with one single common database so that information can and efficient communications can be achieved between management functions. This paper first briefs the ERP technology, its o its current development in general. Based on the needs of running a construction enterprise, ERP shows its potential for the co industry. However, the unique nature of the industry prevents a direct implementation of existing ERP systems, which are developed for the manufacturing industry. This paper underlines the importance of the establishment of the basic theory for d construction enterprise resource planning systems ~CERP!. A CERP must address the nature of the general industry practice. Fundam features are identified and discussed in the paper. A three-tiered client/server architecture is proposed, with discussions on th and major components of each tier. Needed research issues are discussed, including CERP architectures, project manageme advanced planning techniques, standardization of management functions, and modeling human intelligence. Construction ma examples are incorporated into the discussions. DOI: 10.1061/ ~ASCE!0733-9364~2003!129:2~214! CE Database subject headings: Construction management; Construction industry; Planning.
Long-Term Effects of Intermittent IL-2 in HIV Infection: Extended Follow-Up of the INSIGHT STALWART Study

BACKGROUND
The Study of Aldesleukin with and without Antiretroviral Therapy (STALWART) was designed to evaluate whether intermittent IL-2 alone or with peri-cycle ART increased CD4+ cell counts (and so delayed initiation of ART) in HIV infected individuals having ≥ 300 CD4+ cells/mm(3) compared to untreated controls. When the results of two large clinical trials, ESPRIT and SILCAAT, showed no clinical benefit from IL-2 therapy, IL-2 administration was halted in STALWART. Because IL-2 recipients in STALWART experienced a greater number of opportunistic disease (OD) or death and adverse events (AEs), participants were asked to consent to an extended follow-up phase in order to assess persistence of IL-2 effects.


METHODOLOGY
Participants in this study were followed for clinical events and AEs every 4 months for 24 months. Unadjusted Cox proportional hazards models were used to summarize death, death or first OD event, and first grade 3 or 4 AE.


PRINCIPAL FINDINGS
A total of 267 persons were enrolled in STALWART (176 randomized to the IL-2 arms and 91 to the no therapy arm); 142 individuals in the IL-2 group and 80 controls agreed to enter the extended follow-up study. Initiation of continuous ART was delayed in the IL-2 groups, but once started, resulted in similar CD4+ cell and viral load responses compared to controls. The hazard ratios (95% CI) for IL-2 versus control during the extension phase for death or OD, grade 3 or 4 AE, and grade 4 AE were 1.45 (0.38, 5.45), 0.43 (0.24, 1.63) and 0.20 (0.04, 1.03), respectively. The hazard ratios for the AE outcomes were significantly lower during the extension than during the main study.


CONCLUSIONS
Adverse events associated with IL-2 cycling did not persist upon discontinuation of IL-2. The use of IL-2 did not impact the subsequent response to initiation of cART.
Utilization of healthcare services in postpartum women in the Philippines who delivered at home and the effects on their health: a cross-sectional analytical study

BACKGROUND
A low ratio of utilization of healthcare services in postpartum women may contribute to maternal deaths during the postpartum period. The maternal mortality ratio is high in the Philippines. The aim of this study was to examine the current utilization of healthcare services and the effects on the health of women in the Philippines who delivered at home.


METHODS
This was a cross-sectional analytical study, based on a self-administrated questionnaire, conducted from March 2015 to February 2016 in Muntinlupa, Philippines. Sixty-three postpartum women who delivered at home or at a facility were enrolled for this study. A questionnaire containing questions regarding characteristics, utilization of healthcare services, and abnormal symptoms during postpartum period was administered. To analyze the questionnaire data, the sample was divided into delivery at home and delivery at a facility. Chi-square test, Fisher's exact test, and Mann-Whitney U test were used.


RESULTS
There were significant differences in the type of birth attendant, area of residence, monthly income, and maternal and child health book usage between women who delivered at home and those who delivered at a facility (P<0.01). There was significant difference in the utilization of antenatal checkup (P<0.01) during pregnancy, whilst there was no significant difference in utilization of healthcare services during the postpartum period. Women who delivered at home were more likely to experience feeling of irritated eyes and headaches, and continuous abdominal pain (P<0.05).


CONCLUSION
Financial and environmental barriers might hinder the utilization of healthcare services by women who deliver at home in the Philippines. Low utilization of healthcare services in women who deliver at home might result in more frequent abnormal symptoms during postpartum.
Apolipoprotein A-I and platelet factor 4 are biomarkers for infliximab response in rheumatoid arthritis.

OBJECTIVES
The use of biologicals such as infliximab has dramatically improved the treatment of rheumatoid arthritis (RA). However, factors predictive of therapeutic response need to be identified. A proteomic study was performed prior to infliximab therapy to identify a panel of candidate protein biomarkers of RA predictive of treatment response.


METHODS
Plasma profiles of 60 patients with RA (28 non-responders (as defined by the American College of Rheumatology 20% improvement criteria (ACR20)) negative and 32 responders (ACR70 positive) to infliximab) were studied by surface enhanced laser desorption/ionisation time-of-flight mass spectrometry (SELDI-TOF MS) technology on two types of arrays, an anion exchange array (SAX2) and a nickel affinity array (IMAC3-Ni). Biomarker characterisation was carried out using classical biochemical methods (purification by ammonium sulfate precipitation or metal affinity chromatography) and identification by matrix assisted laser desorption/ionisation time-of-flight (MALDI-TOF) MS analysis.


RESULTS
Two distinct protein profiles were observed on both arrays and several proteins were differentially expressed in both patient populations. Five proteins at 3.86, 7.77, 7.97, 8.14 and 74.07 kDa were overexpressed in the non-responder group, whereas one at 28 kDa was increased in the responder population (sensitivity>56%, specificity>77.5%). Moreover, combination of several biomarkers improved the sensitivity and specificity of the detection of patient response to over 97%. The 28 kDa protein was characterised as apolipoprotein A-I and the 7.77 kDa biomarker was identified as platelet factor 4.


CONCLUSIONS
Six plasma biomarkers are characterised, enabling the detection of patient response to infliximab with high sensitivity and specificity. Apolipoprotein A-1 was predictive of a good response to infliximab, whereas platelet factor 4 was associated with non-responders.
Trial Sequential Analysis in systematic reviews with meta-analysis

BACKGROUND
Most meta-analyses in systematic reviews, including Cochrane ones, do not have sufficient statistical power to detect or refute even large intervention effects. This is why a meta-analysis ought to be regarded as an interim analysis on its way towards a required information size. The results of the meta-analyses should relate the total number of randomised participants to the estimated required meta-analytic information size accounting for statistical diversity. When the number of participants and the corresponding number of trials in a meta-analysis are insufficient, the use of the traditional 95% confidence interval or the 5% statistical significance threshold will lead to too many false positive conclusions (type I errors) and too many false negative conclusions (type II errors).


METHODS
We developed a methodology for interpreting meta-analysis results, using generally accepted, valid evidence on how to adjust thresholds for significance in randomised clinical trials when the required sample size has not been reached.


RESULTS
The Lan-DeMets trial sequential monitoring boundaries in Trial Sequential Analysis offer adjusted confidence intervals and restricted thresholds for statistical significance when the diversity-adjusted required information size and the corresponding number of required trials for the meta-analysis have not been reached. Trial Sequential Analysis provides a frequentistic approach to control both type I and type II errors. We define the required information size and the corresponding number of required trials in a meta-analysis and the diversity (D2) measure of heterogeneity. We explain the reasons for using Trial Sequential Analysis of meta-analysis when the actual information size fails to reach the required information size. We present examples drawn from traditional meta-analyses using unadjusted naïve 95% confidence intervals and 5% thresholds for statistical significance. Spurious conclusions in systematic reviews with traditional meta-analyses can be reduced using Trial Sequential Analysis. Several empirical studies have demonstrated that the Trial Sequential Analysis provides better control of type I errors and of type II errors than the traditional naïve meta-analysis.


CONCLUSIONS
Trial Sequential Analysis represents analysis of meta-analytic data, with transparent assumptions, and better control of type I and type II errors than the traditional meta-analysis using naïve unadjusted confidence intervals.
Curvature and Torsion Estimators for 3D Curves

We propose a new torsion estimator for spatial curves based on results of discrete geometry that works in O(n log n) time. We also present a curvature estimator for spatial curves. Our methods use the 3D extension of the 2D blurred segment notion [1]. These estimators can naturally work with disconnected curves.
Diagnostic errors in medicine: a case of neglect.

BACKGROUND
Medical diagnoses that are wrong, missed, or delayed make up a large fraction of all medical errors and cause substantial suffering and injury. Compared with other types of medical error, however, diagnostic errors receive little attention-a major factor in perpetuating unacceptable rates of diagnostic error. Diagnostic errors are fundamentally obscure, health care organizations have not viewed them as a system problem, and physicians responsible for making medical decisions seldom perceive their own error rates as problematic. The safety of modem health care can be improved if these three issues are understood and addressed.


SOLUTIONS
Opportunities to improve the visibility of diagnostic errors are evident. Diagnostic error needs to be included in the normal spectrum of quality assurance surveillance and review. The system properties that contribute to diagnostic errors need to be systematically identified and addressed, including issues related to reliable diagnostic testing processes. Even for cases entirely dependent on the skill of the clinician for accurate diagnosis, health care organizations could minimize errors by using system-level interventions to aid the clinician, such as second readings of key diagnostic tests and providing resources for clinical decision support. Physicians need to improve their calibration by getting feedback on the diagnoses they make. Finally, clinicians need to learn about overconfidence and other innate cognitive tendencies that detract from optimal reasoning and learning.


CONCLUSION
Clinicians and their health care organizations need to take active steps to discover, analyze, and prevent diagnostic errors.
A Review of Different Text Categorization Techniques

In this paper, we focus on a major internet problem which is a huge amount of uncategorized text. We review existing techniques used for feature selection and categorization. After reviewing the existing literature, it was found that there exist some gaps in existing algorithms, one of which is a requirement of the labeled dataset for the training of the classifier. Keywords— Bayesian; KNN; PCA; SVM; TF-IDF
Effect of exposure to low levels of ozone on the response to inhaled allergen in allergic asthmatic patients.

STUDY OBJECTIVES
In a previous study published by our group, six out of nine subjects with mild allergic asthma were shown to have an enhanced response to allergen challenge following a 1-h exposure in an 0.8-m3 exposure chamber (modified from a body plethysmograph) to an average of 120 parts per billion (ppb) ozone at rest. Other studies failed to confirm this effect. In the present study, using a similar design, we reexamined this effect using a larger group of asthmatics and a larger chamber allowing minimal fluctuations in ozone levels during exposures.


DESIGN
Prospective, randomized single-blinded crossover study.


SETTING
Pulmonary function laboratory equipped with an exposure chamber.


SUBJECTS
Fifteen subjects had mild allergic asthma; 9 men and 6 women; the mean (SD) age was 32.5 (10) years; FEV1 was 3.4 (0.8) L; baseline methacholine provocation concentration causing a 20% fall in FEV1 was (PC20) 3.28 (4.1) mg/mL.


INTERVENTIONS
Each participant was exposed, at rest, on 1 day to filtered air and on another day to ozone (mean level=120 ppb) in a larger exposure chamber than the one used in our first study with less variability in ozone level (110 to 130 vs 85 to 175 ppb) using a random, single-blinded design. After each exposure, the subject was challenged with allergen (nine with grass pollen extract and six with ragweed extract) and allergen PC15 was measured.


RESULTS
Ozone preexposure did not affect allergen PC15 when compared with clean air preexposure (allergen PC15 dilution 1/114 vs 1/119, respectively). Ozone vs air preexposure resulted in an allergen PC15 that was lower in five subjects, higher in six, and unchanged (within one doubling dose) in four.


CONCLUSIONS
At this low level with less variability and lower peaks than our previous study, ozone had no significant effect on airway allergen responsiveness.
The MI bundle: enabling network and structural biology in genome visualization tools

UNLABELLED
Prioritization of candidate genes emanating from large-scale screens requires integrated analyses at the genomics, molecular, network and structural biology levels. We have extended the Integrated Genome Browser (IGB) to facilitate these tasks. The graphical user interface greatly simplifies building disease networks and zooming in at atomic resolution to identify variations in molecular complexes that may affect molecular interactions in the context of genomic data. All results are summarized in genome tracks and can be visualized and analyzed at the transcript level.


AVAILABILITY AND IMPLEMENTATION
The MI Bundle is a plugin for the IGB. The plugin, help, video and tutorial are available at http://cru.genomics.iit.it/igbmibundle/ and https://github.com/CRUiit/igb-mi-bundle/wiki. The source code is released under the Apache License, Version 2.


CONTACT
arnaud.ceol@iit.it


SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
C-reactive protein lowering with rosuvastatin in the METEOR study.

OBJECTIVES
In addition to its LDL-C-lowering effects, statin treatment reduces the level of C-reactive protein (CRP). Long-term data on this effect in low-risk populations are limited. Furthermore, whether the CRP reduction is a consequence of LDL-C lowering or occurs independently remains unclear. We studied these aspects in the Measuring Effects on intima media Thickness: an Evaluation Of Rosuvastatin (METEOR) study, a randomized placebo-controlled trial amongst 984 low-risk subjects.


METHODS
METEOR is a randomized placebo-controlled trial that evaluated the effect of 40 mg of rosuvastatin on 2-year change in carotid intima media thickness (CIMT) amongst 984 low-risk patients (10-year Framingham risk < 10%) with modest CIMT (CIMT > or = 1.2 and < 3.5 mm) and elevated LDL-C. CRP levels were measured at baseline and after 2 years of treatment.


RESULTS
Median baseline CRP was 1.4 mg L(-1). Rosuvastatin lowered CRP significantly compared with placebo: -36% in the rosuvastatin group versus no change in the placebo group. There was no relation between change in CRP and change in LDL-C (Spearman correlation: 0.08; SE: 0.04). Stratified analyses showed that the CRP-lowering effect was present amongst all strata of baseline characteristics, including baseline lipids and CRP levels. However, the magnitude of CRP reduction was larger amongst women and participants older than 60 years.


CONCLUSIONS
Rosuvastatin (40 mg) lowers CRP independently from its effects on LDL-C in low-risk subjects with normal baseline CRP levels and modest CIMT.