LLukas22/scidocs huggingface dataset:
Benign multiple sclerosis? Clinical course, long term follow up, and assessment of prognostic factors.

OBJECTIVE
To establish the characteristics of patients following a benign course of multiple sclerosis and evaluate the importance of potential prognostic factors. Also, an assessment of the value of the Kurtzke EDSS as a prognostic indicator has been undertaken in patients previously determined to have benign multiple sclerosis, after 10 years of follow up.


METHODS
A prevalence study in the Coleraine, Ballymena, Ballymoney, and Moyle districts of Northern Ireland used the Kurtzke expanded disability scale score (EDSS) in 259 patients with multiple sclerosis. Of these, 181 had had multiple sclerosis for>/=10 years, 36 having benign disease (EDSS</=3.0) >/=10 years after onset. Clinical and demographic details of the various patient groups, including the minimal record of disability, were compared. The 1987 study in Northern Ireland identified 33 patients with benign multiple sclerosis. Twenty eight were available for follow up in 1996 along with 42 contemporary non-benign patients.


RESULTS
Patients with benign multiple sclerosis were predominantly women (ratio 4.1:1 v 2.1:1) and younger at onset (25.8 v 31.2 years). Commonest symptoms at onset were sensory and optic neuritis (33.3% each). Patients with late onset (older than 40 years) were less likely to have a benign course, more likely to have a progressive course from onset, significantly more likely to have motor disturbance at presentation, and had a lesser female predominance. Optic neuritis was significantly more common in those with a younger age at onset. In the follow up study, patients with benign multiple sclerosis continued to have a more favourable course than non-benign counterparts but progression of disability and to the secondary progressive phase remained significant.


CONCLUSIONS
The association of female sex, early onset, and presentation with optic neuritis and sensory symptoms with a favourable course is confirmed. However, although the EDSS does provide a useful indicator of prognosis, the label "benign multiple sclerosis" is often temporary as apparently benign disease often becomes disabling.
Validity and reliability of the caregiver contribution to self-care of heart failure index.

BACKGROUND
Caregivers make an important contribution to the self-care of patients with heart failure (HF), but few instruments are available to measure this contribution.


OBJECTIVE
The objective of this study was to test the psychometric properties of the Caregiver Contribution to Self-care of Heart Failure Index (CC-SCHFI), an instrument derived from the Self-care of Heart Failure Index version 6.2. The CC-SCHFI measures the contribution of caregivers to the self-care maintenance and self-care management of HF patients, as well as their confidence in their ability to contribute to the patients' HF self-care.


METHODS
A cross-sectional design was used to study 291 Italian caregivers whose HF patients were cared for in 17 cardiovascular centers across Italy. Caregivers completed the CC-SCHFI and a sociodemographic questionnaire. Caregivers were retested on the CC-SCHFI 2 weeks later to assess test-retest reliability.


RESULTS
Most caregivers were women (66%) with a mean age of 59 years. First- and second-order confirmatory factor analysis (CFA) for each CC-SCHFI scale showed good model fit: χ2 = 37.22, P = .08, Comparative Fit Index (CFI) = 0.97, Non-Normed Fit Index (NNFI) = 0.96 for caregiver contribution to self-care maintenance (second-order CFA); χ2 = 14.05, P = .12, CFI = 0.96, NNFI = 0.93 for caregiver contribution to self-care management (first-order CFA); and χ2 = 10.63, P = .15, CFI = 0.99, NNFI = 0.98 for caregiver confidence in contributing to self-care (second-order CFA). The CC-SCHFI was able to discriminate statistical and clinical differences between 2 groups of caregivers who had received or not received HF self-care education. Internal consistency reliability measured by factor score determinacy was more than .80 for all factors and scales except for 1 factor in the caregiver contribution to self-care management scale (.65). Test-retest reliability computed by intraclass correlation coefficient was high (>0.90) for most factors and scales.


CONCLUSION
The CC-SCHFI showed good psychometric properties of validity and reliability and can be used to measure the contribution of caregiver to HF patient self-care.
Interaction between heavy smoking and CYP2A6 genotypes on type 2 diabetes and its possible pathways.

OBJECTIVE
To explore the interactions between smoking and CYP2A6 genotypes on type 2 diabetes (T2DM) as well as potential pathways for smoking in causing T2DM.


DESIGN
Cross-sectional study.


METHODS
A total of 1344 smokers with complete data from a community-based T2DM survey in Guangzhou and Zhuhai of China from July 2006 to June 2007 were interviewed with a structured questionnaire about socio-demographic status and daily cigarette consumption. Serum glucose, insulin, and cotinine were measured after an overnight fast. Subjects were genotyped for CYP2A6 and classified, according to genotype, into normal, intermediate, slow, or poor nicotine metabolizers based on prior knowledge of CYP2A6 allele associations with nicotine C-oxidation rate. Abdominal obesity was defined as a waist-to-hip ratio ≥0.90 for males or ≥0.85 for females. Type 2 diabetic patients (n=154) were diagnosed according to WHO 1999 criteria. Chi-square tests, multivariate logistic regression models, and a structural equation model were used in this study.


RESULTS
Multivariate analysis indicated that, compared with light smoking, heavy smoking significantly increased the risk of T2DM (odds ratio (OR)=1.75, 95% CI=1.01-3.05). There were significant interactions between heavy smoking and slow CYP2A6 (OR=5.12, 95% CI=1.08-24.23) and poor CYP2A6 metabolizer genotypes (OR=8.54, 95% CI=1.28-57.02) on T2DM. Structural equation modeling indicated that CYP2A6 moderation of smoking quantity risk on T2DM was mediated by the effects on serum cotinine, abdominal obesity, insulin resistance, and insulin secretion.


CONCLUSIONS
Heavy smoking was significantly associated with T2DM, and this association was moderated by CYP2A6 genotype and mediated by serum cotinine, abdominal obesity, insulin resistance, and insulin secretion.
Clinical characteristics of patients with bronchioloalveolar carcinoma: a retrospective study of 44 cases.

BACKGROUND
Bronchioloalveolar carcinoma (BAC) is considered a subtype of adenocarcinoma of the lung. Recently BAC has been variously termed adenocarcinoma in situ, minimally invasive adenocarcinoma, lepidic predominant invasive adenocarcinoma, and invasive mucinous adenocarcinoma. The aim of the study was to analyze and detect prognostic factors of patients with BAC over a 7-year period.


MATERIALS AND METHODS
This retrospective single-center study included 44 patients with BAC. The impact on survival of fifteen variables (gender, age, smoking status, cough, dyspnea, hemoptysis, fever, chest pain, sputum, metastasis number, Karnofsky performance status, pT, pN, TNM stage, cytotoxic chemoterapy) were assessed.


RESULTS
Median age was 55 years (38-83). Most patients were male (63.6%) and stage IV (59.1%). Twenty-one patients (47.7%) received cytotoxic chemotherapy (platinum-based regimens) for metastatic disease. Objective response rate was 33.3% (4 partial, 3 complete responses). Stable disease was observed in nine in patients (42.8%). Disease progression was noted in 5 (23.8%). The median OS for all patients was 12 months (95%CI, 2.08-22.9 months). Independent predictors for overall survival were: Karnofsky performance status (HR:3.30, p 0.009), pN (HR:3.81, p 0.018), TNM stage (HR:6.49, p 0.012) and hemoptysis (HR:2.31, p 0.046).


CONCLUSIONS
Karnofsky performance status, pN, TNM stage and hemoptysis appear to have significant impact on predicting patient survival in cases of BAC.
Neural Network Optimization

In this report we want to investigate different methods of Artificial Neural Network optimization. Different local and global methods can be used. Backpropagation is the most common method for optimization. Other methods like genetic algorithm, Tabu search, and simulated annealing can be also used. In this paper we implement GA and BP for ANN.
E-Business Standardization in the Automotive Sector: Role and Situation of SMEs

Successful cooperation between large manufacturers and their suppliers is a crucial aspect, especially in the automotive industry. Such mutually beneficial cooperation requires at least a certain level of integration and interoperation of the partners’ IT and e-business systems. This chapter looks at two approaches in order to achieve this goal: sector-specific harmonization (in the form of electronic marketplaces) and international, committee-based standardization. This chapter shows that SMEs are facing a severe disadvantage in both cases. This is, however, less pronounced in a formal standards setting, in which capabilities of the individual representatives are more important, at least at the working level. IntroductIon The automotive industry is facing a number of challenges to the established relations among its players. Issues to be addressed include, for instance, shorter product life cycles, increasing cost pressure in stagnant markets, and higher complexity of the embedded electronic systems. In order to meet the associated production requirements, standardization of processes, systems, and data is inevitable. This industry is characterized by vertical integration in terms of the business relationship structures between OEMs1 and suppliers (Adolphs, 1996; Lamming, 1993). A current trend in manufacturing is that OEMs attempt to cooperate with fewer suppliers but on a worldwide scale. As a result, small and medium-sized suppliers become suppliers to tier 1 or tier 2 suppliers rather than directly to the OEMs.
Improving Music Recommendation Using Distributed Representation

In this paper, a music recommendation approach based on distributed representation is presented. The proposed approach firstly learns the distributed representations of music pieces and acquires users’ preferences from listening records. Then, it recommends appropriate music pieces whose distributed representations are in accordance with target users’ preferences. Experiments on a real world dataset demonstrate that the proposed approach outperforms the state-of-the-art methods.
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising

In display advertising, click through rate (CTR) prediction is the problem of estimating the probability that an advertisement (ad) is clicked when displayed to a user in a specific context. Due to its easy implementation and promising performance, logistic regression (LR) model has been widely used for CTR prediction, especially in industrial systems. However, it is not easy for LR to capture the nonlinear information, such as the conjunction information, from user features and ad features. In this paper, we propose a novel model, called coupled group lasso (CGL), for CTR prediction in display advertising. CGL can seamlessly integrate the conjunction information from user features and ad features for modeling. Furthermore, CGL can automatically eliminate useless features for both users and ads, which may facilitate fast online prediction. Scalability of CGL is ensured through feature hashing and distributed implementation. Experimental results on real-world data sets show that our CGL model can achieve state-of-the-art performance on webscale CTR prediction tasks. Proceedings of the 31 st International Conference on Machine Learning, Beijing, China, 2014. JMLR: W&CP volume 32. Copyright 2014 by the author(s).
Turning information quality into firm performance in the big data economy

Purpose: Big data analytics (BDA) increasingly provide value to firms for robust decision making and solving business problems. The purpose of this paper is to explore information quality dynamics in big data environment linking business value, user satisfaction and firm performance. Design/methodology/approach: Drawing on the appraisal-emotional response-coping framework, the authors propose a theory on information quality dynamics that helps in achieving business value, user satisfaction and firm performance with big data strategy and implementation. Information quality from BDA is conceptualized as the antecedent to the emotional response (e.g. value and satisfaction) and coping (performance). Proposed information quality dynamics are tested using data collected from 302 business analysts across various organizations in France and the USA. Findings: The findings suggest that information quality in BDA reflects four significant dimensions: completeness, currency, format and accuracy. The overall information quality has significant, positive impact on firm performance which is mediated by business value (e.g. transactional, strategic and transformational) and user satisfaction. Research limitations/implications: On the one hand, this paper shows how to operationalize information quality, business value, satisfaction and firm performance in BDA using PLS-SEM. On the other hand, it proposes an REBUS-PLS algorithm to automatically detect three groups of users sharing the same behaviors when determining the information quality perceptions of BDA. Practical implications: The study offers a set of determinants for information quality and business value in BDA projects, in order to support managers in their decision to enhance user satisfaction and firm performance. Originality/value: The paper extends big data literature by offering an appraisal-emotional response-coping framework that is well fitted for information quality modeling on firm performance. The methodological novelty lies in embracing REBUS-PLS to handle unobserved heterogeneity in the sample. Disciplines Business Publication Details Fosso Wamba, S., Akter, S., Trinchera, L. & De Bourmont, M. (2018). Turning information quality into firm performance in the big data economy. Management Decision, Online First 1-28. This journal article is available at Research Online: https://ro.uow.edu.au/gsbpapers/536
Gasdynamics and starbursts in major mergers

Using numerical simulation, we study the development of gaseous inflows and triggering of starburst activity in mergers of comparable-mass disk galaxies. Our models cover a range of orbits and internal structures for the merging galaxies. In all encounters studied, the galaxies experience strong gaseous inflows and, using a density-dependent Schmidt law to model star formation, moderate to intense starburst activity. We find that galaxy structure plays a dominant role in regulating activity. The gaseous inflows are strongest when galaxies with dense central bulges are in the final stages of merging, while inflows in bulgeless galaxies are weaker and occur earlier in the interaction. Orbital geometry plays only a relatively modest role in the onset of collisionally-induced activity. Through an analysis of the torques acting on the gas, we show that these inflows are generally driven by gravitational torques from the host galaxy (rather than the companion), and that dense bulges act to stabilize galaxies against bar modes and inflow until the galaxies merge, at which point rapidly varying gravitational torques drive strong dissipation and inflow of gas in the merging pair. The strongest inflows (and associated starburst activity) develop in co-planar encounters, while the activity in inclined mergers is somewhat less intense and occurs slightly later during the merger. To the extent that a Schmidt law is a reasonable description of star formation in these systems, the starbursts which develop in mergers of galaxies with central bulges represent an increase in the star formation rate of two orders of magnitude over that in isolated galaxies. – 2 – We find that the gaseous and stellar morphology and star-forming properties of these systems provide a good match to those of observed ultraluminous infrared galaxies. Our results imply that the internal structure of the merging galaxies, rather than orbital geometry, may be the key factor in producing ultraluminous infrared galaxies.
Pineal melatonin: cell biology of its synthesis and of its physiological interactions.

I. Introduction UNTIL 35 yr ago, most scientists did not take research on the pineal gland seriously. The decade beginning in 1956, however, provided several discoveries that laid the foundation for what has become a very active area of investigation. These important early observations included the findings that, 1), the physiological activity of the pineal is influenced by the photoperiodic environment (1–5); 2), the gland contains a substance, N-acetyl-5-methoxytryptamine or melatonin, which has obvious endocrine capabilities (6, 7); 3), the function of the reproductive system in photoperiodically dependent rodents is inextricably linked to the physiology of the pineal gland (5, 8, 9); 4), the sympathetic innervation to the pineal is required for the gland to maintain its biosynthetic and endocrine activities (10, 11); and 5), the pineal gland can be rapidly removed from rodents with minimal damage to adjacent neural structures using a specially designed trephine (12).
Coordinated Multi-Area Economic Dispatch via Critical Region Projection

A coordinated economic dispatch method for multiarea power systems is proposed. Choosing boundary phase angles as coupling variables, the proposed method exploits the structure of critical regions in local problems defined by active and inactive constraints. For a fixed boundary state given by the coordinator, local operators compute the coefficients of critical regions containing the boundary state and the optimal value functions then communicate them to the coordinator who in turn optimizes the boundary state to minimize the overall cost. By iterating between local operators and the coordinator, the proposed algorithm converges to the global optimal solution in finite steps, and it requires limited information sharing.
L-lysine as adjunctive treatment in patients with schizophrenia: a single-blinded, randomized, cross-over pilot study

BACKGROUND
Accumulating evidence suggests that the brain's nitric oxide (NO) signalling system may be involved in the pathophysiology of schizophrenia and could thus constitute a novel treatment target. The study was designed to investigate the benefit of L-lysine, an amino acid that interferes with NO production, as an add-on treatment for schizophrenia.


METHODS
L-lysine, 6 g/day, was administered to 10 patients with schizophrenia as an adjunctive to their conventional antipsychotic medication. The study was designed as a single-blinded, cross-over study where patients were randomly assigned to initial treatment with either L-lysine or placebo and screened at baseline, after four weeks when treatment was crossed over, and after eight weeks.


RESULTS
L-lysine treatment caused a significant increase in blood concentration of L-lysine and was well tolerated. A significant decrease in positive symptom severity, measured by the Positive And Negative Syndrome Scale (PANSS), was detected. A certain decrease in score was also observed during placebo treatment and the effects on PANSS could not unequivocally be assigned to the L-lysine treatment. Furthermore, performance on the Wisconsin Card Sorting Test was significantly improved compared to baseline, an effect probably biased by training. Subjective reports from three of the patients indicated decreased symptom severity and enhanced cognitive functioning.


CONCLUSIONS
Four-week L-lysine treatment of 6 g/day caused a significant increase in blood concentration of L-lysine that was well tolerated. Patients showed a significant decrease in positive symptoms as assessed by PANSS in addition to self-reported symptom improvement by three patients. The NO-signalling pathway is an interesting, potentially new treatment target for schizophrenia; however, the effects of L-lysine need further evaluation to decide the amino acid's potentially beneficial effects on symptom severity in schizophrenia.
Active recall to increase HIV and STI testing: a systematic review.

BACKGROUND
Active recall can improve reattendance rates and could increase retesting rates and detection of HIV and sexually transmitted infections (STIs), but the best strategy remains uncertain.


METHODS
We conducted a systematic review and meta-analysis of active recall for HIV and/or STI testing. We searched six electronic databases using terms for HIV, STIs, tests and active recall (defined as a reminder to retest for HIV/STIs) for randomised, non-randomised and observational English-language studies published between 1983 and 2013. Outcomes included reattendance/retesting rate and STI diagnosis at follow-up.


RESULTS
Of 5634 papers identified, 17 met the inclusion criteria. Of the 14 comparative studies, all but one demonstrated higher reattendance/retesting rates in the intervention group, but the range was wide (17.5-89%). Meta-analysis of nine RCTs found reattendance/retesting rates were significantly higher in the intervention versus control groups (pooled OR 2.42 (95% CI 1.84 to 3.19)). In a subgroup analysis, home sampling increased retesting compared with clinic testing (pooled OR 2.20 (95% CI 1.65 to 2.94)). In observational studies SMS reminders increased retesting compared with standard clinic care (pooled OR 2.19 (95% CI 1.46 to 3.29)), but study estimates were highly heterogeneous (I(2)=94%, p<0.001).


CONCLUSIONS
Active recall interventions are associated with higher reattendance/retesting rates for HIV/STI. Although home sampling and SMS reminders were associated with higher reattendance/retesting rates in most studies, evidence is limited by the heterogeneity of interventions and control groups and the quality of studies. Further work is needed to explore which active recall modality is clinically cost-effective and acceptable for HIV/STI screening.
Q&A: Animal behaviour: Magnetic-field perception

What is the evidence that animals perceive magnetic fields? The evidence for magnetoreception is mainly behavioural. The most common approach has been to alter the magnetic field around animals and watch for corresponding changes in orientation or navigation behaviour. Usually this has been done in the lab, where carefully calibrated magnetic fields can be produced. But experiments have also been done in the field on unrestrained animals that are migrating or homing. For example, standard bar magnets produce much stronger magnetic fields than Earth’s naturally occurring field, and placing these on homing pigeons and sea turtles disrupts navigation under some conditions. Neurobiological techniques have also provided evidence; in several cases, electrophysiological recordings and activity-dependent gene expression have revealed neurons, nerves and brain areas that show altered electrical activity in response to changes in the ambient field.