LLukas22/scidocs huggingface dataset:
COPE-ICD: A randomised clinical trial studying the effects and meaning of a comprehensive rehabilitation programme for ICD recipients -design, intervention and population

BACKGROUND
Growing evidence exists that living with an ICD can lead to fear and avoidance behaviour including the avoidance of physical activity. It has been suggested that psychological stress can increase the risk of shock and predict death. Small studies have indicated a beneficial effect arising from exercise training and psychological intervention, therefore a large-scale rehabilitation programme was set up.


METHODS/DESIGN
A mixed methods embedded experimental design was chosen to include both quantitative and qualitative measures. A randomised clinical trial is its primary component. 196 patients (power-calculated) were block randomised to either a control group or intervention group at a single centre. The intervention consists of a 1-year psycho-educational component provided by two nurses and a 12-week exercise training component provided by two physiotherapists. Our hypothesis is that the COPE-ICD programme will reduce avoidance behaviour, sexual dysfunction and increase quality of life, increase physical capability, reduce the number of treatment-demanding arrhythmias, reduce mortality and acute re-hospitalisation, reduce sickness leading to absence from work and be cost-effective. A blinded investigator will perform all physical tests and data collection.


DISCUSSION
Most participants are men (79%) with a mean age of 58 (range 20-85). Most ICD implantations are on primary prophylactic indication (66%). 44% is NYHA II. Mean walk capacity (6MWT) is 417 m. Mean perception of General Health (SF-36) is PCS 42.6 and MCS 47.1.A large-scale ICD rehabilitation trial including psycho-educational intervention and exercise training has been initiated and will report findings starting in 2011.


TRIAL REGISTRATION
ClinicalTrials.gov: NCT00569478.
Labor Market Integration of People with Disabilities: Results from the Swiss Spinal Cord Injury Cohort Study

OBJECTIVES
We aimed to describe labor market participation (LMP) of persons with spinal cord injury (SCI) in Switzerland, to examine potential determinants of LMP, and to compare LMP between SCI and the general population.


METHODS
We analyzed data from 1458 participants of employable age from the cross-sectional community survey of the Swiss Spinal Cord Injury Cohort Study. Data on LMP of the Swiss general population were obtained from the Swiss Federal Statistical Office. Factors associated with employment status as well as the amount of work performed in terms of full-time equivalent (FTE) were examined with regression techniques.


RESULTS
53.4% of the participants were employed at the time of the study. Adjusted odds of being employed were increased for males (OR = 1.73, 95% CI 1.33-2.25) and participants with paraplegia (OR = 1.78, 95% CI 1.40-2.27). The likelihood of being employed showed a significant concave relationship with age, peaking at age 40. The relation of LMP with education was s-shaped, while LMP was linearly related to time since injury. On average, employment rates were 30% lower than in the general population. Males with tetraplegia aged between 40 and 54 showed the greatest difference. From the 771 employed persons, the majority (81.7%) worked part-time with a median of 50% FTE (IRQ: 40%-80%). Men, those with younger age, higher education, incomplete lesions, and non-traumatic etiology showed significantly increased odds of working more hours per week. Significantly more people worked part-time than in the general population with the greatest difference found for males with tetraplegia aged between 40 and 54.


CONCLUSIONS
LMP of persons with SCI is comparatively high in Switzerland. LMP after SCI is, however, considerably lower than in the general population. Future research needs to show whether the reduced LMP in SCI reflects individual capacity adjustment, contextual constraints on higher LMP or both.
Rediscovering the Orthodox Past: The Microhistorical Approach to Religious Practice in Imperial Russia

This article originally appeared in Russian: Friz [Freeze], "Otkryvaia 
zanovo pravoslavnoe proshloe".
The recent literature on public leadership: Reviewed and considered

Abstract The purpose of the article is to review the academic literature on public leadership. The discussion is generally confined to books and articles in which leadership in the public realm is explicitly at the center of the discussion; and it is limited to materials published in 1999 and 2000. The literature on leadership is divided into five groups: individuals, groups/organizations, nations, transnational arrangements, and cross-cutting themes (diversity, ethics, mass movements). The article concludes by noting that although the literature on public leadership, at least as generated by contemporary academicians, remains meager, it is growing in richness and diversity. In fact, this review demonstrates that scholars, teachers, and practitioners have a range of relevant materials from which to draw information and ideas. An enormous amount of work remains to be done before the literature on public leadership reaches a critical mass. But some good work is being accomplished in a field that is clearly expanding, and that is of increasing interest to constituencies both within and outside academia.
Dose and schedule study of panitumumab monotherapy in patients with advanced solid malignancies.

PURPOSE
This phase 1 study evaluated the safety, pharmacokinetics, and activity of panitumumab, a fully human, IgG2 monoclonal antibody that targets the epidermal growth factor receptor in patients with previously treated epidermal growth factor receptor-expressing advanced solid tumors.


EXPERIMENTAL DESIGN
Sequential cohorts were enrolled to receive four i.v. infusions of panitumumab monotherapy at various doses and schedules. Safety was continuously monitored. Serum samples for pharmacokinetic, immunogenicity, and chemistry assessments were drawn at preset intervals. Tumor response was assessed at week 8.


RESULTS
Ninety-six patients received panitumumab. Median (range) age was 61 years (32-79 years), and 72 (75%) patients were male. Tumor types were 41% colorectal cancer, 22% prostate, 16% renal, 15% non-small cell lung, 3% pancreatic, 3% esophageal/gastroesophageal, and 1% anal. The overall incidence of grade 3 or 4 adverse events was 32% and 7%, respectively. The incidence of skin-related toxicities was dose dependent. No maximum tolerated dose was reached. No human anti-panitumumab antibodies were detected. No investigator-determined panitumumab infusion-related reactions were reported. Serum panitumumab concentrations were similar in the 2.5 mg/kg weekly, 6.0 mg/kg every 2 weeks, and 9.0 mg/kg every 3 weeks dose cohorts. Five of 39 patients (13%) with colorectal cancer had a confirmed partial response, and 9 of 39 patients (23%) with colorectal cancer had stable disease.


CONCLUSIONS
Panitumumab was well tolerated with comparable exposure and safety profiles for the weekly, every 2 weeks, and every 3 weeks administration schedules. Rash and dry skin occurred more frequently in the dose cohorts receiving > or =2.5 mg/kg weekly dose. Panitumumab has single-agent antitumor activity, most notably in patients with advanced colorectal cancer.
Modifiers of timing and possible triggers of acute myocardial infarction in the Thrombolysis in Myocardial Infarction Phase II (TIMI II) Study Group.

OBJECTIVES
The aim of this study was to provide insight into the mechanism of acute myocardial infarction by determining the modifiers of timing and possible triggers of onset of infarction.


BACKGROUND
A higher frequency of onset of acute myocardial infarction has been reported in the morning with a peak in the 1st 3 h after awakening. This observation suggests that the onset of infarction may be triggered by activity in the morning and at other times of the day.


METHODS
The clinical history of the 3,339 patients entered into the Thrombolysis in Myocardial Infarction phase II study was analyzed to determine characteristics predicting a higher frequency of infarction between 6 AM and noon, and onset of infarction during exertion.


RESULTS
A higher proportion (34.4%) of infarctions began in the morning (6 AM to noon) compared with other times of the day. Characteristics independently predicting a higher frequency between 6 AM to noon were no beta-adrenergic blocking agent use in the 24 h before infarction, no discomfort other than the index pain in the preceding 48 h, occurrence of the infarction on a weekday and no history of current smoking. In 18.7% of patients, infarction occurred during moderate or marked physical activity. Independent predictors of exertion-related infarction included male gender, no history of current smoking, white race, no use of calcium channel blocking agents or nitrates in the preceding 24 h, the absence of either chest pain at rest in the 3 weeks before infarction or any pain in the preceding 48 h, the absence of new onset angina and the presence of exertional pain in the preceding 3 weeks. Compared with patients whose infarction occurred at rest or during mild activity, those with exertion-related infarction had fewer coronary vessels with > or = 60% stenosis (p = 0.002) and were more likely to have an occluded infarct-related vessel after thrombolytic therapy (p = 0.01).


CONCLUSIONS
Further study of the timing and activity at onset of infarction may provide insight into the pathophysiologic mechanisms causing acute myocardial infarction and provide clues to preventive measures.
Instantaneous effects of resynchronisation therapy on exercise performance in heart failure patients: the mechanistic role and predictive power of total isovolumic time.

BACKGROUND
Cardiac resynchronisation therapy improves peak oxygen uptake (peak VO(2)) 3-9 months after device implantation. In chronic heart failure, total isovolumic time (t-IVT) is a major determinant of peak VO(2) and of cardiac output at peak dobutamine stress. In selected patients, resynchronisation can instantaneously shorten t-IVT. We sought to determine the acute effect of resynchronisation on exercise performance and determine, with pharmacological stress echocardiography, the mechanism underlying this effect.


METHODS AND RESULTS
Twenty-two patients with resynchronisation were studied within 3 months after device implantation. On a single study day, sequential cardiopulmonary exercise tests were performed during native activation (left bundle branch block) and resynchronisation (atrio-biventricular pacing) in random order. Total-IVT and cardiac output (at rest and peak dobutamine stress) were then measured in each activation mode. Resynchronisation acutely increased peak VO(2) by 1.6 (SD 1.5) ml/kg/min (p<0.001) and shortened peak stress t-IVT by 10 (SD 7) s/min (p<0.001), with the effects in individual patients showing a correlation (r = -0.46, p<0.05). Amongst all measurements during native activation, the best predictor of gain in peak VO(2) from resynchronisation was peak stress t-IVT (r = 0.71, p<0.001) with every increment of 5 s/min of peak stress t-IVT during native activation predicting an 8% gain in peak VO(2). No conventional measures during native activation at rest or on stress (including QRS duration, Tei index, tissue Doppler intraventricular delay, and resting t-IVT) added significant additional information.


CONCLUSIONS
In eligible patients, resynchronisation can acutely augment peak VO(2), possibly through a mechanism of t-IVT shortening. Under native activation, long t-IVT during peak stress is the single best predictor of acute resynchronisation-mediated increment in peak VO(2).
An Algorithm in SwinDeW-C for Scheduling Transaction-Intensive Cost-Constrained Cloud Workflows

The concept of cloud computing has been wide spreading very recently. Cloud computing has many unique advantages which can be utilised to facilitate (cloud) workflow execution. Transaction-intensive cost-constrained cloud workflows are workflows with a large number of workflow instances (i.e. transaction intensive) bounded by a certain budget for execution (i.e. cost constrained) in a cloud computing environment (i.e. cloud workflows). However, there are not any specific scheduling algorithms so far for transaction-intensive cost-constrained cloud workflows. This paper presents a novel scheduling algorithm which considers the characteristics of cloud computing to accommodate transaction-intensive cost-constrained workflows by compromising execution time and cost with user input enabled on the fly. The simulation performed demonstrates that the algorithm can reduce the mean execution cost while meeting the user-requested deadline.
Alternative c-means clustering algorithms

In this paper we propose a new metric to replace the Euclidean norm in c-means clustering procedures. On the basis of the robust statistic and the in1uence function, we claim that the proposed new metric is more robust than the Euclidean norm. We then create two new clustering methods called the alternative hard c-means (AHCM) and alternative fuzzy c-means (AFCM) clustering algorithms. These alternative types of c-means clustering have more robustness than c-means clustering. Numerical results show that AHCM has better performance than HCM and AFCM is better than FCM. We recommend AFCM for use in cluster analysis. Recently, this AFCM algorithm has successfully been used in segmenting the magnetic resonance image of Ophthalmology to di9erentiate the abnormal tissues from the normal tissues. ? 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Antibody-supervised deep learning for quantification of tumor-infiltrating immune cells in hematoxylin and eosin stained breast cancer samples

BACKGROUND
Immune cell infiltration in tumor is an emerging prognostic biomarker in breast cancer. The gold standard for quantification of immune cells in tissue sections is visual assessment through a microscope, which is subjective and semi-quantitative. In this study, we propose and evaluate an approach based on antibody-guided annotation and deep learning to quantify immune cell-rich areas in hematoxylin and eosin (H&E) stained samples.


METHODS
Consecutive sections of formalin-fixed parafin-embedded samples obtained from the primary tumor of twenty breast cancer patients were cut and stained with H&E and the pan-leukocyte CD45 antibody. The stained slides were digitally scanned, and a training set of immune cell-rich and cell-poor tissue regions was annotated in H&E whole-slide images using the CD45-expression as a guide. In analysis, the images were divided into small homogenous regions, superpixels, from which features were extracted using a pretrained convolutional neural network (CNN) and classified with a support of vector machine. The CNN approach was compared to texture-based classification and to visual assessments performed by two pathologists.


RESULTS
In a set of 123,442 labeled superpixels, the CNN approach achieved an F-score of 0.94 (range: 0.92-0.94) in discrimination of immune cell-rich and cell-poor regions, as compared to an F-score of 0.88 (range: 0.87-0.89) obtained with the texture-based classification. When compared to visual assessment of 200 images, an agreement of 90% (κ = 0.79) to quantify immune infiltration with the CNN approach was achieved while the inter-observer agreement between pathologists was 90% (κ = 0.78).


CONCLUSIONS
Our findings indicate that deep learning can be applied to quantify immune cell infiltration in breast cancer samples using a basic morphology staining only. A good discrimination of immune cell-rich areas was achieved, well in concordance with both leukocyte antigen expression and pathologists' visual assessment.
Phase II study of neoadjuvant anastrozole and concurrent radiotherapy for postmenopausal breast cancer patients.

BACKGROUNDS
The aim of this study was to assess the efficacy and safety of neoadjuvant anastrozole and radiation in postmenopausal breast cancer patients with hormone-receptor-positive tumors. In addition, we assessed the predictive factors for clinical and pathological response for concurrent anastrozole and radiotherapy.


METHODS
Patients with tumors 3 cm or larger were treated with neoadjuvant anastrozole for 24 weeks, and concurrent radiation was administered from 12 weeks after the start of anastrozole. Core biopsies were obtained at baseline and 12 weeks after the start of anastrozole. After completing neoadjuvant treatment, patients underwent definitive surgery. The primary endpoint was the overall objective response. In addition, we assessed the predictive factors for clinical and pathological response for concurrent anastrozole and radiotherapy. This trial is registered with the UMIN Clinical Trials Registry, no. UMIN000002266.


RESULTS
The overall objective response rate was 92 %. Toxicity during neoadjuvant therapy was acceptable, with no grade 3 toxicities. After surgery, grade 3 toxicities occurred in 2 of 25 patients (8 %).


CONCLUSIONS
Our preliminary data suggest that neoadjuvant anastrozole and radiation therapy in postmenopausal breast cancer patients with hormone-receptor-positive tumors has a high potential for clinical response.
Mathematical Properties of Cosmological Models with Accelerated Expansion

An introduction to solutions of the Einstein equations defining cos- mological models with accelerated expansion is given. Connections between math- ematical and physical issues are explored. Theorems which have been proved for solutions with positive cosmological constant or nonlinear scalar fields are reviewed. Some remarks are made on more exotic models such as the Chaplygin gas, tachyons and k-essence.
Tangible User Interfaces

There is a long history of Tangible User Interfaces (TUI) in the community of humancomputer interaction, but surprisingly few of these interfaces have made it beyond lab and gallery spaces. This thesis explores how the research community may begin to remedy the disconnect between modern TUIs and the everyday computing experience via the creation and dissemination of Trackmate, an accessible (both ubiquitous and enabling) tabletop tangible user interface that scales to a large number of users with minimal hardware and configuration overhead. Trackmate is entirely open source and designed: to be community-centric; to leverage common objects and infrastructure; to provide a low floor, high ceiling, and wide walls for development; to allow user modifications and improvisation; to be shared easily via the web; and to work alongside a broad range of existing applications and new research interface prototypes. Thesis Supervisor: Hiroshi Ishii Title: Muriel R. Cooper Professor of Media Arts and Sciences
Rotigotine Effects on Early Morning Motor Function and Sleep in Parkinson's Disease: A Double-Blind, Randomized, pLacebo-Controlled Study (RECOVER)

In a multinational, double-blind, placebo-controlled trial (NCT00474058), 287 subjects with Parkinson's disease (PD) and unsatisfactory early-morning motor symptom control were randomized 2:1 to receive rotigotine (2-16 mg/24 hr [n = 190]) or placebo (n = 97). Treatment was titrated to optimal dose over 1-8 weeks with subsequent dose maintenance for 4 weeks. Early-morning motor function and nocturnal sleep disturbance were assessed as coprimary efficacy endpoints using the Unified Parkinson's Disease Rating Scale (UPDRS) Part III (Motor Examination) measured in the early morning prior to any medication intake and the modified Parkinson's Disease Sleep Scale (PDSS-2) (mean change from baseline to end of maintenance [EOM], last observation carried forward). At EOM, mean UPDRS Part III score had decreased by -7.0 points with rotigotine (from a baseline of 29.6 [standard deviation (SD) 12.3] and by -3.9 points with placebo (baseline 32.0 [13.3]). Mean PDSS-2 total score had decreased by -5.9 points with rotigotine (from a baseline of 19.3 [SD 9.3]) and by -1.9 points with placebo (baseline 20.5 [10.4]). This represented a significantly greater improvement with rotigotine compared with placebo on both the UPDRS Part III (treatment difference: -3.55 [95% confidence interval (CI) -5.37, -1.73]; P = 0.0002) and PDSS-2 (treatment difference: -4.26 [95% CI -6.08, -2.45]; P < 0.0001). The most frequently reported adverse events were nausea (placebo, 9%; rotigotine, 21%), application site reactions (placebo, 4%; rotigotine, 15%), and dizziness (placebo, 6%; rotigotine 10%). Twenty-four-hour transdermal delivery of rotigotine to PD patients with early-morning motor dysfunction resulted in significant benefits in control of both motor function and nocturnal sleep disturbances.
The Optimal Ball and Horoball Packings of the Coxeter Tilings in the Hyperbolic 3-space

In this paper I describe a method – based on the projective interpretation of the hyperbolic geometry – that determines the data and the density of the optimal ball and horoball packings of each well-known Coxeter tiling (Coxeter honeycomb) in the hyperbolic space H.
Measuring Moral Judgement and the Implications of Cooperative Education and Rule-Based Learning

The Defining Issues Test (DIT), developed by Rest (1986), measures a person’s level of moral development using hypothetical social dilemmas. Although the DIT is useful for measuring moral development in social settings, it might not adequately capture an individual’s moral judgement abilities in solving work-related problems (Weber, 1990; Trevino, 1992; Welton et al., 1994). In the present study, the moral judgement levels of 97 accounting students were measured over a 1 year period using two separate test instruments, the DIT and a context-specific instrument developed by Welton et al. (1994). The test scores are significantly higher on the DIT than the Welton instrument (between the instruments and over time), suggesting that accounting students use higher levels of moral reasoning in resolving hypothetical social dilemmas and lower levels of moral reasoning in resolving context-specific dilemmas. The difference in test scores was highest during cooperative education (work placement programme), implying that the environment is a significant determinant on students’ test scores.
Unintended Consequences of Machine Learning in Medicine.

Over the past decade, machine learning techniques have made substantial advances in many domains. In health care, global interest in the potential of machine learning has increased; for example, a deep learning algorithm has shown high accuracy in detecting diabetic retinopathy.1 There have been suggestions that machine learning will drive changes in health care within a few years, specifically in medical disciplines that require more accurate prognostic models (eg, oncology) and those based on pattern recognition (eg, radiology and pathology). However, comparative studies on the effectiveness of machine learning–based decision support systems (ML-DSS) in medicine are lacking, especially regarding the effects on health outcomes. Moreover, the introduction of new technologies in health care has not always been straightforward or without unintended and adverse effects.2 In this Viewpoint we consider the potential unintended consequences that may result from the application of ML-DSS in clinical practice.