Miracle-dz/UniFAR-FTUs huggingface dataset:
The Canadian survey of health, lifestyle and ageing with multiple sclerosis: methodology and initial results

Objective People with multiple sclerosis (MS) are living longer so strategies to enhance long-term health are garnering more interest. We aimed to create a profile of ageing with MS in Canada by recruiting 1250 (5% of the Canadian population above 55 years with MS) participants and focusing data collection on health and lifestyle factors, disability, participation and quality of life to determine factors associated with healthy ageing. Design National multicentre postal survey. Setting Recruitment from Canadian MS clinics, MS Society of Canada chapters and newspaper advertisements. Participants People aged 55 years or older with MS symptoms more than 20 years. Outcome measures Validated outcome measures and custom-designed questions examining MS disease characteristics, living situation, disability, comorbid conditions, fatigue, health behaviours, mental health, social support, impact of MS and others. Results Of the 921 surveys, 743 were returned (80.7% response rate). Participants (mean age 64.6±6.2 years) reported living with MS symptoms for an average of 32.9±9.5 years and 28.6% were either wheelchair users or bedridden. There was only 5.4% missing data and 709 respondents provided optional qualitative information. According to data derived from the 2012 Canadian Community Health Survey of Canadians above 55 years of age, older people with MS from this survey sample are about eight times less likely to be employed full-time. Older people with MS were less likely to engage in regular physical activity (26.7%) compared with typical older Canadians (45.2%). However, they were more likely to abstain from alcohol and smoking. Conclusions Despite barriers to participation, we were able to recruit and gather detailed responses (with good data quality) from a large proportion of older Canadians with MS. The data suggest that this sample of older people with MS is less likely to be employed, are less active and more disabled than other older Canadians.
Deep Injection of Waste Water in the Western Canada Sedimentary Basin

Injection of wastes into the deep subsurface has become a contentious issue, particularly in emerging regions of oil and gas production. Experience in other regions suggests that injection is an effective waste management practice and that widespread environmental damage is unlikely. Over the past several decades, 23 km3 of water has been injected into the Western Canada Sedimentary Basin (WCSB). The oil and gas industry has injected most of this water but large amounts of injection are associated with mining activities. The amount of water injected into this basin during the past century is 2 to 3 orders magnitude greater than natural recharge to deep formations in the WCSB. Despite this large‐scale disturbance to the hydrogeological system, there have been few documented cases of environmental problems related to injection wells. Deep injection of waste appears to be a low risk activity based on this experience but monitoring efforts are insufficient to make definitive statements. Serious uncharacterized legacy issues could be present. Initiating more comprehensive monitoring and research programs on the effects of injection in the WCSB could provide insight into the risks associated with injection in less developed sedimentary basins.
Coiled-Coil Irregularities and Instabilities in Group A Streptococcus M1 Are Required for Virulence

Antigenically variable M proteins are major virulence factors and immunogens of the human pathogen group A Streptococcus (GAS). Here, we report the ∼3 angstrom resolution structure of a GAS M1 fragment containing the regions responsible for eliciting type-specific, protective immunity and for binding fibrinogen, which promotes M1 proinflammatory and antiphagocytic functions. The structure revealed substantial irregularities and instabilities throughout the coiled coil of the M1 fragment. Similar structural irregularities occur in myosin and tropomyosin, explaining the patterns of cross-reactivity seen in autoimmune sequelae of GAS infection. Sequence idealization of a large segment of the M1 coiled coil enhanced stability but diminished fibrinogen binding, proinflammatory effects, and antibody cross-reactivity, whereas it left protective immunogenicity undiminished. Idealized M proteins appear to have promise as vaccine immunogens.
Short Article: Why do we slow down after an error? Mechanisms underlying the effects of posterror slowing

People often become slower in their performance after committing an error, which is usually explained by strategic control adjustments towards a more conservative response threshold. The present study tested an alternative hypothesis for explaining posterror slowing in terms of behavioural interferences resulting from error monitoring by manipulating stimulus contrast and categorization difficulty in a choice reaction time task. The response–stimulus interval (RSI) was either short or long, using a between-subject (Experiment 1) and a within-subject design (Experiment 2). Posterror slowing was larger and posterror accuracy lower in short than in long RSI situations. Effects of stimulus contrast disappeared in posterror trials when RSI was short. At long RSIs, stimulus contrast was additive with posterror slowing. The results support the idea that at least two mechanisms contribute to posterror slowing: a capacity-limited error-monitoring process with the strongest influence at short RSIs and a criterion adjustment mechanism at longer RSIs.
A Study on Device-Related Infections with Special Reference to Biofilm Production and Antibiotic Resistance

Background: Indwelling medical devices (IMDs) in critical patients are vulnerable to colonization by biofilm producing bacteria. Complex characteristics of bacterial biofilms promote antibiotic resistance, leading to the emergence of resistant device-related infections (DRI), which pose new challenges in their management. Materials and Methods: The study was done on 135 hospitalized (Intensive care units) pediatric patients with IMDs (intravascular catheter, urinary catheter, and endotracheal tube) to determine the device-specific infection rates. Biofilm formations were demonstrated by the tube method and by scanning electron microscopy (SEM). Bacteria in biofilms were identified by the standard conventional methods and tested for antibiotic resistance. We also detected the presence of extended spectrum β-lactamases (ESβLs), particularly, blaCTX-M, in gram-negative isolates. Results: The rates of biofilm-based catheter-related blood stream infections (CRBSI), catheter-associated urinary tract infections (CAUTI), and Ventilator Associated Pneumonia (VAP), in our study, were 10.4, 26.6, and 20%. Biofilm formation by the tube method correlated well with the SEM findings. A majority of infections were caused by Klebsiella pneumoniae followed by Staphylococcal biofilms. A high percentage (85.7%, 95% confidence interval 64.5 to 95.8%) of biofilm producing bacterial isolates, causing infection, were multidrug resistant. Many biofilm producing gram-negative isolates were ESβLs producers, and a majority particularly harbored blaCTX-M, among the ESβLs genotypes. Conclusion: The incidence of resistant device-related infections, predominantly caused by biofilm producing bacteria, is rising. The tube method is an effective screening method to test biofilm production, where sophisticated microscopy facilities are not available. The varying resistance pattern of organisms isolated in our setup, emphasizes the importance of studying the pattern of infection in every setting and providing antibiotic guidelines in the management of such infections.
FUNCTIONAL PROPERTIES OF MINIATURE GRAPHENE HALL-EFFECT SENSOR

 * Industrial Research Institute for Automation and Measurements, al. Jerozolimskie 202, 02-486 Warsaw, Poland; mkachniarz@piap.pl, opetruk@piap.pl, ** Institute of Electronic Materials Technology, Wolczynska 133, 01-919 Warsaw, Poland, wlodek.strupinski@itme.edu.pl, *** Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, sw. Andrzeja Boboli 8, 05-525 Warsaw, Poland; j.salach@mchtr.pw. edu.pl
THE LIPID COMPOSITION OF AXONS FROM BOVINE BRAIN 1

Abstract— Bovine axons derived from myelinated CNS axons were found to have 13.5% lipid. This lipid was composed of 20.1% cholesterol, 20.1% galactolipid, 14.6% ethanolarhine phosphatides (56.4% in the plasmalogen form), 18.3% choline phosphatides (10.0% in the plasmalogen form), 9.3% sphingomyelin, 5.6% phosphatidyl serine and 3.4% phosphatidyl inositol. The bovine axons had 0.33 μg ganglioside NeuNAc/mg dry weight. The axon gangliosides were found to contain the four major types of bovine gangliosides, as well as gangliosides GM2 and GD3. The latter two amounted to 20.9 and 15.8 mole per cent respectively, of total gangliosides. On a molar basis, about one half of the gangliosides were monosialogangliosides, with a decreased contribution by gangliosides GT1 and GD1b relative to ganglioside distributions which have been reported for most other CNS components. The relationship of the bovine axonal lipid composition to bovine white matter and its constituents, as well as to other CNS and PNS axonal preparations is discussed.
Persistence of Innovation in Dutch Manufacturing: Is It Spurious?

This paper studies the persistence of innovation in Dutch manufacturing using an unbalanced panel of firm data from four waves of the Community Innovation Survey between 1994 and 2002. We estimate by maximum likelihood a dynamic type 2 tobit model accounting for individual effects and handling the initial conditions problem. We find true persistence in the probability of innovating in the high-tech category of industries and spurious persistence in the low-tech category. Furthermore, past innovation output intensity affects, albeit to a small extent, current innovation output intensity in the high-tech category, while no such evidence is found in the low-tech category.
Pharmacokinetics of Hedgehog Pathway Inhibitor Vismodegib (GDC-0449) in Patients with Locally Advanced or Metastatic Solid Tumors: the Role of Alpha-1-Acid Glycoprotein Binding

Purpose: In a phase I trial for patients with refractory solid tumors, hedgehog pathway inhibitor vismodegib (GDC-0449) showed little decline in plasma concentrations over 7 days after a single oral dose and nonlinearity with respect to dose and time after single and multiple dosing. We studied the role of GDC-0449 binding to plasma protein alpha-1-acid glycoprotein (AAG) to better understand these unusual pharmacokinetics. Experimental Design: Sixty-eight patients received GDC-0449 at 150 (n = 41), 270 (n = 23), or 540 (n = 4) mg/d, with pharmacokinetic (PK) sampling at multiple time points. Total and unbound (dialyzed) GDC-0449 plasma concentrations were assessed by liquid chromatography/tandem mass spectrometry, binding kinetics by surface plasmon resonance–based microsensor, and AAG levels by ELISA. Results: A linear relationship between total GDC-0449 and AAG plasma concentrations was observed across dose groups (R2 = 0.73). In several patients, GDC-0449 levels varied with fluctuations in AAG levels over time. Steady-state, unbound GDC-0449 levels were less than 1% of total, independent of dose or total plasma concentration. In vitro, GDC-0449 binds AAG strongly and reversibly (KD = 13 μmol/L) and human serum albumin less strongly (KD = 120 μmol/L). Simulations from a derived mechanistic PK model suggest that GDC-0449 pharmacokinetics are mediated by AAG binding, solubility-limited absorption, and slow metabolic elimination. Conclusions: GDC-0449 levels strongly correlated with AAG levels, showing parallel fluctuations of AAG and total drug over time and consistently low, unbound drug levels, different from previously reported AAG-binding drugs. This PK profile is due to high-affinity, reversible binding to AAG and binding to albumin, in addition to solubility-limited absorption and slow metabolic elimination properties. Clin Cancer Res; 17(8); 2512–20. ©2011 AACR.
Training Sequence Design for Discriminatory Channel Estimation in Wireless MIMO Systems

This paper proposes a training-based channel estimation scheme for achieving quality-of-service discrimination between legitimate and unauthorized receivers in wireless multiple-input multiple-output (MIMO) channels. The proposed method has applications ranging from user discrimination in wireless TV broadcast systems to the prevention of eavesdropping in secret communications. By considering a wireless MIMO system that consists of a multiple-antenna transmitter, a legitimate receiver (LR) and an unauthorized receiver (UR), we propose a multi-stage training-based discriminatory channel estimation (DCE) scheme that aims to optimize the channel estimation performance of the LR while limiting the channel estimation performance of the UR. The key idea is to exploit the channel estimate fed back from the LR at the beginning of each stage to enable the judicious use of artificial noise (AN) in the training signal. Specifically, with knowledge of the LR's channel, AN can be properly superimposed with the training data to degrade the UR's channel without causing strong interference on the LR. The channel estimation performance of the LR in earlier stages may not be satisfactory due to the inaccuracy of the channel estimate and constraints on the UR's estimation performance, but can improve rapidly in later stages as the quality of channel estimate improves. The training data power and AN power are optimally allocated by minimizing the normalized mean-square error (NMSE) of the LR subject to a lower limit constraint on the NMSE of the UR. The proposed DCE scheme is then extended to the case with multiple LRs and multiple URs. Simulation results are presented to demonstrate the effectiveness of the proposed DCE scheme.
Which elements in the treatment of eating disorders are necessary 'ingredients' in the recovery process?--A comparison between the patient's and therapist's view.

BACKGROUND Little is known about which therapeutic 'ingredients' in the treatment of eating disorders (anorexia nervosa (AN), bulimia nervosa (BN) and binge eating disorder (BED)) are needed for recovery. Remarkably, most studies on this topic have neglected the patient's view. METHOD In this study, a large sample of eating disorder patients (n = 132) was invited to evaluate which elements in the treatment they consider to be helpful and effective in their recovery process. These results were compared to the view of 49 eating disorder experts. RESULTS Following the patient's view, 'improving self-esteem', 'improving body experience' and 'learning problem solving skills', were considered as core elements in their treatment. No major differences were found between the different patient samples when comparing the patient's and therapist's view. DISCUSSION The findings suggest that therapists and patients share more or less the same view about the basic and effective elements in the treatment.
Robot-assisted and laparoscopic partial nephrectomy with near infrared fluorescence imaging.

BACKGROUND AND PURPOSE Recent literature has focused on the importance of maximal nephron preservation during partial nephrectomy to avoid complications associated with chronic renal insufficiency. Accurate differentiation of tumor from normal surrounding parenchyma is critical to ensure excessive normal renal tissue is not made ischemic or excised along with the tumor. The feasibility of a novel intraoperative imaging technique to differentiate tumor from surrounding parenchyma during laparoscopic and robot-assisted partial nephrectomy was evaluated. PATIENTS AND METHODS Patients who were scheduled to undergo laparoscopic or robot-assisted partial nephrectomy were recruited from April 2009 to July 2010. The Endoscopic SPY Imaging System was used as an adjunct to intraoperative imaging in all cases. Patients received intravenous injections of indocyanine green (ICG), which was visualized intraoperatively with the near infrared fluorescence (NIRF) imaging capability of the SPY scope. The degree of tumor fluorescence compared with surrounding renal parenchyma was qualitatively assessed before tumor resection, and partial nephrectomy was then performed with standard techniques while intermittently using NIRF imaging. RESULTS Nineteen patients underwent intravenous administration of ICG followed by NIRF during partial nephrectomy. Average tumor size was 3.0 cm (range 0.8-5.9 cm). Thirteen masses were malignant on final pathology results, and all of these were seen to be hypofluorescent compared with surrounding renal parenchyma during intraoperative imaging. The imaging behavior of benign tumors ranged from isofluorescent to hyperfluorescent compared with normal parenchyma. No complications were associated with ICG injection. CONCLUSION NIRF imaging after intravenous ICG administration may be a useful intraoperative imaging tool to differentiate malignant tumors from normal renal parenchyma during laparoscopic and robot-assisted partial nephrectomy. Advanced intraoperative imaging techniques such as this one may become increasingly helpful as more complicated tumors are resected with minimally invasive approaches.
Dissection of the Endogenous Cellular Pathways of PCSK9-induced Low Density Lipoprotein Receptor Degradation

Elevated levels of plasma low density lipoprotein (LDL)-cholesterol, leading to familial hypercholesterolemia, are enhanced by mutations in at least three major genes, the LDL receptor (LDLR), its ligand apolipoprotein B, and the proprotein convertase PCSK9. Single point mutations in PCSK9 are associated with either hyper- or hypocholesterolemia. Accordingly, PCSK9 is an attractive target for treatment of dyslipidemia. PCSK9 binds the epidermal growth factor domain A (EGF-A) of the LDLR and directs it to endosomes/lysosomes for destruction. Although the mechanism by which PCSK9 regulates LDLR degradation is not fully resolved, it seems to involve both intracellular and extracellular pathways. Here, we show that clathrin light chain small interfering RNAs that block intracellular trafficking from the trans-Golgi network to lysosomes rapidly increased LDLR levels within HepG2 cells in a PCSK9-dependent fashion without affecting the ability of exogenous PCSK9 to enhance LDLR degradation. In contrast, blocking the extracellular LDLR endocytosis/degradation pathway by a 4-, 6-, or 24-h incubation of cells with Dynasore or an EGF-AB peptide or by knockdown of endogenous autosomal recessive hypercholesterolemia did not significantly affect LDLR levels. The present data from HepG2 cells and mouse primary hepatocytes favor a model whereby depending on the dose and/or incubation period, endogenous PCSK9 enhances the degradation of the LDLR both extra- and intracellularly. Therefore, targeting either pathway, or both, would be an effective method to reduce PCSK9 activity in the treatment of hypercholesterolemia and coronary heart disease.
Mapping the field of educational administration research: a journal citation network analysis

Purpose – The purpose of this paper is to uncover how knowledge is exchanged and disseminated in the educational administration research literature through the journal citation network. Design/methodology/approach – Drawing upon social network theory and citation network studies in other disciplines, the authors constructed an educational administration journal citation network by extracting all 157,372 citations from 5,359 journal articles in 30 educational administration journals from 2009 to 2013. The authors then performed social network analysis to visualize the network structure by journal clusters, and quantified journal prominence and interdisciplinarity by calculating Freeman indegree and betweenness, respectively. In addition to journal-to-journal citations, the authors examined the sources of non-journal citations by citation counts. Findings – The results of journal prominence, interdisciplinarity, and eight journal clusters in the citation network indicate that educational administration, as .
Observational learning of a baseball-pitch: the effect of different model demonstrations

The aim of the present research was to investigate the effects of observing different model demonstrations inclusive video, stick-figure and point-light models on observational learning of a Baseball pitch. 41 young adults performed 5 pretest trials, three blocks of 10 acquisition trials, and two retention tests of 5 trials in 10 min and one week after the last acquisition block. Kinematic pattern, movement form, and movement time of overall movement and movement phases were measured as dependent variables. Results showed no significant differences between demonstration groups and control group in all variables. Analysis of movement phases showed a significant improvement in stride phase from pretest to acquisition blocks in all variables. Results are discussed in terms of theoretical and methodological aspects.
Wnt3a−/−-like phenotype and limb deficiency in Lef1−/−Tcf1−/− mice

Members of the LEF-1/TCF family of transcription factors have been implicated in the transduction of Wnt signals. However, targeted gene inactivations of Lef1, Tcf1, or Tcf4 in the mouse do not produce phenotypes that mimic any known Wnt mutation. Here we show that null mutations in both Lef1 and Tcf1, which are expressed in an overlapping pattern in the early mouse embryo, cause a severe defect in the differentiation of paraxial mesoderm and lead to the formation of additional neural tubes, phenotypes identical to those reported for Wnt3a-deficient mice. In addition, Lef1Tcf1 embryos have defects in the formation of the placenta and in the development of limb buds, which fail both to express Fgf8 and to form an apical ectodermal ridge. Together, these data provide evidence for a redundant role of LEF-1 and TCF-1 in Wnt signaling during mouse development.
Seniority in Legislatures

We construct a stochastic model of a legislature with an endogenously determined seniority system. We model the behavior of the legislators as well as their constituents as an infinitely repeated divide-the-dollar game. The game has a stationary equilibrium with the property that the legislature imposes on itself a non-trivial seniority system, and that incumbent legislators are always reelected.
Kernel Density Metric Learning

This paper introduces a supervised metric learning algorithm, called kernel density metric learning (KDML), which is easy to use and provides nonlinear, probability-based distance measures. KDML constructs a direct nonlinear mapping from the original input space into a feature space based on kernel density estimation. The nonlinear mapping in KDML embodies established distance measures between probability density functions, and leads to correct classification on datasets for which linear metric learning methods would fail. It addresses the severe challenge to kNN when features are from heterogeneous domains and, as a result, the Euclidean or Mahalanobis distance between original feature vectors is not meaningful. Existing metric learning algorithms can then be applied to the KDML features. We also propose an integrated optimization algorithm that learns not only the Mahalanobis matrix but also kernel bandwidths, the only hyper-parameters in the nonlinear mapping. KDML can naturally handle not only numerical features, but also categorical ones, which is rarely found in previous metric learning algorithms. Extensive experimental results on various datasets show that KDML significantly improves existing metric learning algorithms in terms of kNN classification accuracy.