LLukas22/scidocs huggingface dataset:
A telemedicine meditation intervention for people with multiple sclerosis and their caregivers: study protocol for a randomized controlled trial

BACKGROUND
Mindfulness-based interventions, modified and shortened versions of meditation teachings, have proved to be effective in the improvement of quality of life in many clinical conditions, including chronic diseases. Preliminary results available in the literature and in clinical experience indicate a high potential for this treatment for the reduction of psychological suffering in people with chronic diseases.


METHODS/DESIGN
This randomized controlled trial will investigate the impact of a multiple sclerosis (MS) specific telemedicine meditation intervention on the quality of life of people with multiple sclerosis and their caregivers. This trial will recruit 120 patients, men and women, with a diagnosis of relapsing-remitting or secondary progressive MS and their caregivers to participate in a 2-month intervention. Patients will undergo assessments of quality of life, anxiety, depression, quality of sleep, mindfulness and fatigue levels conducted at baseline, at week 8 (conclusion of the intervention) and at week 27 (6 months follow-up). Caregivers will complete assessments conducted at the same time for the same areas, plus caregiver burden. The intervention condition will consist of 2 hours/week of online meditation in a group setting led by a trainer, plus 1 hour/week of individual exercises. The control condition will incorporate a psycho-education online program and will require the same contact time commitment as the intervention condition.


DISCUSSION
Primary outcome measures will consist of assessments of quality of life, anxiety, and depression level. Assessments of mindfulness level, quality of sleep and fatigue level will be considered secondary outcome measures. This investigation will increase understanding of the role of meditation as part of a treatment plan for people with MS and their caregivers. Overall, this study design has the potential to lead to effective meditation intervention strategies for this population and improve their quality of life.


TRIAL REGISTRATION
Clinical Trials Register NCT02364505. https://clinicaltrials.gov/ct2/show/NCT02364505.
Quality assessment of diagnostic before-after studies: development of methodology in the context of a systematic review

BACKGROUND
Quality assessment tools for primary studies of test accuracy are relatively well developed, although only one is validated (QUADAS), but very little work has been done to develop tools to quality-assess studies evaluating the impact of diagnostic testing on management of patients (diagnostic or therapeutic yield). The recent draft NICE Guide to the Methods of Technology Appraisal (2007) suggests QUADAS "as a useful starting point for appraising studies that evaluate the sensitivity and specificity of a test" but does not mention how to quality assess diagnostic or therapeutic yield studies, in particular diagnostic before-after studies. In the context of undertaking a rapid systematic review of structural neuroimaging in psychosis for NICE, we describe the modifications that we made to QUADAS, our experience of this in practice and in relation to published theory on diagnostic or therapeutic yield studies.


METHODS
The QUADAS tool was assessed for use in the review by two systematic reviewers with in-depth knowledge of the clinical area being reviewed and the types of studies being found in the searches that could answer the clinical question. Modifications were made following discussion as considered appropriate.


RESULTS
Two QUADAS questions were removed altogether and. four additional questions were developed to capture additional quality issues not addressed by QUADAS. However, the developed checklist only partially helped to discern implications of the study designs on the results given.


CONCLUSION
The division between topic-specific and more generic quality items of relevance to diagnostic before-after studies is important. With more time, further work could have been done to create a better quality assessment tool, for example by incorporating some of the issues mentioned in previous work in this area. This paper is a discussion around quality assessment and is intended to offer insights into the types of issues that should be assessed. A quality assessment tool for diagnostic before-after studies that incorporates items from QUADAS and published theory needs to be further developed and validated.
An application of support vector machines in bankruptcy prediction model

This study investigates the efficacy of applying support vector machines (SVM) to bankruptcy prediction problem. Although it is a wellknown fact that the back-propagation neural network (BPN) performs well in pattern recognition tasks, the method has some limitations in that it is an art to find an appropriate model structure and optimal solution. Furthermore, loading as many of the training set as possible into the network is needed to search the weights of the network. On the other hand, since SVM captures geometric characteristics of feature space without deriving weights of networks from the training data, it is capable of extracting the optimal solution with the small training set size. In this study, we show that the proposed classifier of SVM approach outperforms BPN to the problem of corporate bankruptcy prediction. The results demonstrate that the accuracy and generalization performance of SVM is better than that of BPN as the training set size gets smaller. We also examine the effect of the variability in performance with respect to various values of parameters in SVM. In addition, we investigate and summarize the several superior points of the SVM algorithm compared with BPN. q 2004 Elsevier Ltd. All rights reserved.
On agent-based software engineering

Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and, more generally, Computer Science. It has the potential to significantly improve the theory and the practice of modeling, designing, and implementing computer systems. Yet, to date, there has been little systematic analysis of what makes the agent-based approach such an appealing and powerful computational model. Moreover, even less effort has been devoted to discussing the inherent disadvantages that stem from adopting an agent-oriented view. Here both sets of issues are explored. The standpoint of this analysis is the role of agent-based software in solving complex, real-world problems. In particular, it will be argued that the development of robust and scalable software systems requires autonomous agents that can complete their objectives while situated in a dynamic and uncertain environment, that can engage in rich, high-level social interactions, and that can operate within flexible organisational structures.  2000 Elsevier Science B.V. All rights reserved.
Endoscope versus microscope in the diagnosis of esophageal non-erosive reflux disease: a study of 71 cases.

BACKGROUND
Non-erosive reflux disease (NERD) is a type of gastroesophageal reflux disease (GERD) defined as symptomatic GERD without mucosal breaks on endoscopy. There is no gold standard for diagnosis of NERD till date. Biopsy from the distal esophagus in patients of GERD is said to reveal characteristic, although non-specific injury patterns such as squamous cell hyperplasia and intraepithelial inflammatory cell infiltration, collectively known as microscopic esophagitis. Recently, dilated intercellular spaces (DIS) are also shown to be associated with NERD. The present study was undertaken to evaluate the role of biopsy in NERD cases.


MATERIALS AND METHODS
Two mucosal biopsies were taken at 3 cm above the squamocolumnar junction (SCJ) from 71 cases of NERD having symptom scores of more than 10. Biopsies were evaluated for features of microscopic esophagitis and DIS, and the results were analyzed.


RESULTS
Fifty out of 71 (70.4%) patients with symptomatic NERD had features of microscopic esophagitis. DIS was noted in 46/71 (64.8%) of cases, and correlated significantly with microscopic esophagitis (p<0.0001). Basal cell hyperplasia, papillary elongation, intraepithelial neutrophils, and intraepithelial eosinophils were seen in 83.1%, 76.1%, 40.8%, and 12.7% of NERD cases respectively.


CONCLUSION
In symptomatic patients of GERD, when endoscopy does not show mucosal breaks (so called NERD), histopathological evaluation of distal esophageal mucosa may have a diagnostic value. The present study also reinforces the diagnostic utility of DIS in symptomatic NERD.
Brain Training in Children and Adolescents: Is It Scientifically Valid?

Background: Brain training products are becoming increasingly popular for children and adolescents. Despite the marketing aimed at their use in the general population, these products may provide more benefits for specific neurologically impaired populations. A review of Brain Training (BT) products analyzing their efficacy while considering the methodological limitations of supporting research is required for practical applications. Method: searches were made of the PubMed database (until March 2017) for studies including: (1) empirical data on the use of brain training for children or adolescents and any effects on near transfer (NT) and/or far transfer (FT) and/or neuroplasticity, (2) use of brain training for cognitive training purposes, (3) commercially available training applications, (4) computer-based programs for children developed since the 1990s, and (5) relevant printed and peer-reviewed material. Results: Database searches yielded a total of 16,402 references, of which 70 met the inclusion criteria for the review. We classified programs in terms of neuroplasticity, near and far transfer, and long-term effects and their applied methodology. Regarding efficacy, only 10 studies (14.2%) have been found that support neuroplasticity, and the majority of brain training platforms claimed to be based on such concepts without providing any supporting scientific data. Thirty-six studies (51.4%) have shown far transfer (7 of them are non-independent) and only 11 (15.7%) maintained far transfer at follow-up. Considering the methodology, 40 studies (68.2%) were not randomized and controlled; for those randomized, only 9 studies (12.9%) were double-blind, and only 13 studies (18.6%) included active controls in their trials. Conclusion: Overall, few independent studies have found far transfer and long-term effects. The majority of independent results found only near transfer. There is a lack of double-blind randomized trials which include an active control group as well as a passive control to properly control for contaminant variables. Based on our results, Brain Training Programs as commercially available products are not as effective as first expected or as they promise in their advertisements.
Distributed computation of virtual coordinates

Sensor networks are emerging as a paradigm for future computing, but pose a number of challenges in the fields of networking and distributed computation. One challenge is to devise a greedy routing protocol -- one that routes messages through the network using only information available at a node or its neighbors. Modeling the connectivity graph of a sensor network as a 3-connected planar graph, we describe how to compute on the network in a distributed and local manner a special geometric embedding of the graph. This embedding supports a geometric routing protocol based on the "virtual" coordinates of the nodes derived from the embedding.
Rabbit dental disease and calcium metabolism--the science behind divided opinions.

Dental disease is considered as one of the, if not, the most common disorders seen in pet rabbits. This article provides a review of the scientific literature and an overview of the peculiarities of calcium homeostasis in the rabbit in an attempt to draw together current thinking on the cause of dental disease. A complete understanding of the aetiology and pathophysiology of rabbit dental disease is necessary for the veterinary practitioner to establish a proper therapeutic plan, prognosis and ultimately prevention of this common cause of morbidity and mortality in pet rabbits.
Post-Keynesian Theory: An Overview

Kregel provides the reader with an understanding of the evolution and current position of post-Keynesian economics. As in the past, its practitioners seek to explain the level of output and employment and its growth and distribution, recognizing “that money enters into the economic scheme in an essential and peculiar manner.”
Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes)

The Encyclopedia of Data Warehousing and Mining, Second Edition offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.
Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

Quality data recorded in varied realistic environments is vital for effective human face related research. Currently available datasets for human facial expression analysis have been generated in highly controlled lab environments. We present a new static facial expression database Static Facial Expressions in the Wild (SFEW) extracted from a temporal facial expressions database Acted Facial Expressions in the Wild (AFEW) [9], which we have extracted from movies. In the past, many robust methods have been reported in the literature. However, these methods have been experimented on different databases or using different protocols within the same databases. The lack of a standard protocol makes it difficult to compare systems and acts as a hindrance in the progress of the field. Therefore, we propose a person independent training and testing protocol for expression recognition as part of the BEFIT workshop. Further, we compare our dataset with the JAFFE and Multi-PIE datasets and provide baseline results.
The situational factors that affect the software development process: Towards a comprehensive reference framework

Context An optimal software development process is regarded as being dependent on the situational characteristics of individual software development settings. Such characteristics include the nature of the application(s) under development, team size, requirements volatility and personnel experience. However, no comprehensive reference framework of the situational factors affecting the software development process is presently available. Objective The absence of such a comprehensive reference framework of the situational factors affecting the software development process is problematic not just because it inhibits our ability to optimise the software development process, but perhaps more importantly, because it potentially undermines our capacity to ascertain the key constraints and characteristics of a software development setting. Method To address this deficiency, we have consolidated a substantial body of related research into an initial reference framework of the situational factors affecting the software development process. To support the data consolidation, we have applied rigorous data coding techniques from Grounded Theory and we believe that the resulting framework represents an important contribution to the software engineering field of knowledge. Results The resulting reference framework of situational factors consists of 8 classifications and 44 factors that inform the software process. We believe that the situational factor reference framework presented herein represents a sound initial reference framework for the key situational elements affecting the software process definition. Conclusion In addition to providing a useful reference listing for the research community and for committees engaged in the development of standards, the reference framework also provides support for practitioners who are challenged with defining and maintaining software development processes. Furthermore, this framework can be used to develop a profile of the situational characteristics of a software development setting, which in turn provides a sound foundation for software development process definition and optimisation.
Fuzzy logic and neural network applications to fault diagnosis

This contribution gives a survey on the state of the art in artificial intelligence applications to model-based diagnosis for dynamic processes. Emphasis is placed on residual generation and residual evaluation employing fuzzy logic. Particularly for residual generation, a novel observer concept, the so-called knowledge observer, is introduced. An artificial neural network approach for residual generation and evaluation is outlined as well. © 1997 Elsevier Science Inc.
A parallel-arm phase I trial of the humanised anti-IGF-1R antibody dalotuzumab in combination with the AKT inhibitor MK-2206, the mTOR inhibitor ridaforolimus, or the NOTCH inhibitor MK-0752, in patients with advanced solid tumours

Background:Two strategies to interrogate the insulin growth factor 1 receptor (IGF-1R) pathway were investigated: vertical inhibition with dalotuzumab and MK-2206 or ridaforolimus to potentiate PI3K pathway targeting and horizontal cross-talk inhibition with dalotuzumab and MK-0752 to exert effects against cellular proliferation, angiogenesis, and stem cell propagation.Methods:A phase I, multi-cohort dose escalation study was conducted in patients with advanced solid tumours. Patients received dalotuzumab (10 mg kg–1) and escalating doses of MK-2206 (90–200 mg) or escalating doses of dalotuzumab (7.5–10 mg kg–1) and MK-0752 (1800 mg) weekly. Upon maximum tolerated dose determination, patients with low-RAS signature, high-IGF1 expression ovarian cancer were randomised to dalotuzumab/MK-2206 versus dalotuzumab/ridaforolimus, whereas patients with high IGF1/low IGF2 expression colorectal cancer received dalotuzumab/MK-0752.Results:A total of 47 patients were enrolled: 29 in part A (18 in the dalotuzumab/MK-2206 arm and 11 in the dalotuzumab/MK-0752 arm) and 18 in part B (6 in each arm). Dose-limiting toxicities (DLTs) for dalotuzumab/MK-2206 included grade 4 neutropenia and grade 3 serum sickness-like reaction, maculopapular rash, and gastrointestinal inflammation. For dalotuzumab/MK-0752, DLTs included grade 3 dehydration, rash, and diarrhoea. Seven patients remained on study for >4 cycles.Conclusions:Dalotuzumab/MK-2206 and dalotuzumab/MK-0752 combinations were tolerable. Further developments of prospectively validated predictive biomarkers to aid in patient selection for anti-IGF-1R therapies are needed.
A 2-phase labeling and choice architecture intervention to improve healthy food and beverage choices.

OBJECTIVES
We assessed whether a 2-phase labeling and choice architecture intervention would increase sales of healthy food and beverages in a large hospital cafeteria.


METHODS
Phase 1 was a 3-month color-coded labeling intervention (red = unhealthy, yellow = less healthy, green = healthy). Phase 2 added a 3-month choice architecture intervention that increased the visibility and convenience of some green items. We compared relative changes in 3-month sales from baseline to phase 1 and from phase 1 to phase 2.


RESULTS
At baseline (977,793 items, including 199,513 beverages), 24.9% of sales were red and 42.2% were green. Sales of red items decreased in both phases (P < .001), and green items increased in phase 1 (P < .001). The largest changes occurred among beverages. Red beverages decreased 16.5% during phase 1 (P < .001) and further decreased 11.4% in phase 2 (P < .001). Green beverages increased 9.6% in phase 1 (P < .001) and further increased 4.0% in phase 2 (P < .001). Bottled water increased 25.8% during phase 2 (P < .001) but did not increase at 2 on-site comparison cafeterias (P < .001).


CONCLUSIONS
A color-coded labeling intervention improved sales of healthy items and was enhanced by a choice architecture intervention.
Two Methodologies Applied to the Author Profiling Task

This paper describes two methodologies applied to the author profiling task submitted to the PAN 2013 competition of the CLEF 2013 conference. The first methodology was applied only to the English language, whereas the second one was executed only over the corpus written in Spanish language. The aim was to evaluate the performance of both methodologies in the above mentioned task. The obtained results were quite positive for the first methodology which considers a classicaly approach of classification, using diverse features extracted from the texts in order to feed a classifier based on random forests. The second methodology, based on graph mining techniques, obtained a very poor performance for the author profiling task. 1 Description of the Methodologies Evaluated We applied two different methodologies, one for each language. For the English corpus, we employed machine learning techniques with different sets of features. The description of this first methodology is presented in Section 1.1. The Spanish corpus was processed with a second methodology based on graph mining techniques. This methodology is described in Section 1.2.
Variable risk of atopic disease due to indoor fungal exposure in NHANES 2005-2006.

BACKGROUND
Exposure to damp indoor environments is associated with increased risk of eczema, allergy and asthma. The role of dampness-related exposures and risk of allergic diseases are yet to be fully explored in the US population.


OBJECTIVE
We assess whether exposure to fungi, house dust mites and endotoxin increases the risk of eczema, allergy and asthma in children and adults participating in NHANES 2005-2006.


METHODS
A total of 8412 participants (2849 were children aged between 6 and 17 years) were recruited in the 2005-2006 survey. We used multiple logistic regression to investigate whether mildew/musty odour and increased concentrations of Alternaria alternata allergen, Aspergillus fumigatus antigens, house dust mite and endotoxin antigens increase the risk of eczema, allergy and asthma. We stratified models by total IgE < 170 and ≥ 170 KU/L to assess allergic and non-allergic asthma outcomes. Exposure to multiple biological agents and risk of reporting eczema, allergy and asthma were also investigated.


RESULTS
Reporting of a mildew/musty odour was associated with increased risk of childhood asthma (OR 1.60; 95% CI 1.17-2.19), and adult eczema, allergy and asthma (OR 1.92; 95% CI 1.39-2.63, OR 1.59 95% CI 1.26-2.02 and OR 1.61 95% CI 1.00-2.57, respectively). Risk of asthma was associated with total IgE ≥ 170 KU/L in children (OR 1.81; 95% CI 1.01-3.25) and total IgE < 170 KU/L in adults (OR 1.91; 95% CI 1.07-3.42). Children and adults exposed to more than eight biological agents present in the home were at reduced risk of eczema (OR 0.17; 95% CI 0.04-0.77) and asthma (OR 0.49; 95% CI 0.25-0.97), respectively.


CONCLUSION
Exposure to a mildew/musty odour, as a proxy for exposure to fungus, was implicated in an increased risk of atopic diseases. Sensitisation may play a different role in children and adults, and exposure to multiple allergens may reduce the risk of atopic disease.
Metric properties of the Tower of Hanoi graphs and Stern's diatomic sequence

It is known that in the Tower of Ha noi graphs there are at most two different shortest paths between any fixed pair of vertices. A formula is given that counts, for a given vertex v, thenumber of verticesu such that there are two shortest u, v-paths. The formul a is expressed in terms of Stern’s diatomic sequenceb(n) (n ≥ 0) and implies that only for vertices of degree two this number is zero. Plane embeddings of the Tower of Hanoi graphs are also presented that provide an explicit description ofb(n) as the number of elements of the sets of vertices of the Tower of Hanoi graphs intersected by certain lines in the plane. © 2004 Elsevier Ltd. All rights reserved. MSC (2000):05A15; 05C12; 11B83; 51M15