LLukas22/scidocs huggingface dataset:
Fibromyalgia and neuropathic pain - differences and similarities. A comparison of 3057 patients with diabetic painful neuropathy and fibromyalgia

BACKGROUND
Patients with diabetic neuropathy (DPN) and fibromyalgia differ substantially in pathogenetic factors and the spatial distribution of the perceived pain. We questioned whether, despite these obvious differences, similar abnormal sensory complaints and pain qualities exist in both entities. We hypothesized that similar sensory symptoms might be associated with similar mechanisms of pain generation. The aims were (1) to compare epidemiological features and co-morbidities and (2) to identify similarities and differences of sensory symptoms in both entities.


METHODS
The present multi-center study compares epidemiological data and sensory symptoms of a large cohort of 1434 fibromyalgia patients and 1623 patients with painful diabetic neuropathy. Data acquisition included standard demographic questions and self-report questionnaires (MOS sleep scale, PHQ-9, PainDETECT). To identify subgroups of patients with characteristic combinations of symptoms (sensory profiles) a cluster analysis was performed using all patients in both cohorts.


RESULTS
Significant differences in co-morbidities (depression, sleep disturbance) were found between both disorders. Patients of both aetiologies chose very similar descriptors to characterize their sensory perceptions. Burning pain, prickling and touch-evoked allodynia were present in the same frequency. Five subgroups with distinct symptom profiles could be detected. Two of the subgroups were characteristic for fibromyalgia whereas one profile occurred predominantly in DPN patients. Two profiles were found frequently in patients of both entities (20-35%).


CONCLUSIONS
DPN and fibromyalgia patients experience very similar sensory phenomena. The combination of sensory symptoms--the sensory profile--is in most cases distinct and almost unique for each one of the two entities indicating aetiology-specific mechanisms of symptom generation. Beside the unique aetiology-specific sensory profiles an overlap of sensory profiles can be found in 20-35% of patients of both aetiologies.
Visual Word Ambiguity

This paper studies automatic image classification by modeling soft assignment in the popular codebook model. The codebook model describes an image as a bag of discrete visual words selected from a vocabulary, where the frequency distributions of visual words in an image allow classification. One inherent component of the codebook model is the assignment of discrete visual words to continuous image features. Despite the clear mismatch of this hard assignment with the nature of continuous features, the approach has been successfully applied for some years. In this paper, we investigate four types of soft assignment of visual words to image features. We demonstrate that explicitly modeling visual word assignment ambiguity improves classification performance compared to the hard assignment of the traditional codebook model. The traditional codebook model is compared against our method for five well-known data sets: 15 natural scenes, Caltech-101, Caltech-256, and Pascal VOC 2007/2008. We demonstrate that large codebook vocabulary sizes completely deteriorate the performance of the traditional model, whereas the proposed model performs consistently. Moreover, we show that our method profits in high-dimensional feature spaces and reaps higher benefits when increasing the number of image categories.
The INSPIRED study: a randomised controlled trial of the Whole Person Model of disease self-management for people with type 2 diabetes

BACKGROUND
The prevalence of type 2 diabetes has increased dramatically in the last decade, and is continuing to rise. It is a chronic condition, often related to obesity, diet and sedentary lifestyles, and can lead to significant health complications, disability and early death. Diabetes is commonly associated with depression, which can impact significantly on a person's ability to manage their illness and, consequently, on disease outcomes. Disease self-management is fundamental in diabetes and requires support from multiple health professionals and the active participation of the person, including in maintaining a healthy lifestyle. The Whole Person Model was developed in order to integrate emotional and behavioural aspects into a self-management program for people with type 2 diabetes. Here we describe a study designed to test the efficacy of the Whole Person Model of disease self-management in type 2 diabetes.


METHODS/DESIGN
In a parallel-group randomised trial, 180 people with type 2 diabetes of between 2-10 years duration will be recruited via invitation through the Australian National Diabetes Services Scheme. Participants will undergo baseline assessment, followed by randomisation to either intervention or control condition. Control participants will receive fact sheets containing key information about diabetes self-management. The intervention group will receive the INSPIRED (Individual Support & Resources for Diabetes) Manual and be assigned a Health Coach. The INSPIRED Manual consists of six modules that provide key information about diabetes and disease management using the Whole Person Model. Engagement is facilitated by interactive tasks and contact with a Health Coach over seven weeks--an introductory face-to-face session, and six subsequent contacts by phone following each module. Follow-up assessments occur at 13 weeks (post-intervention) and 26 weeks. Primary outcomes include blood glucose management (HbA1c), weight and mood. Secondary outcomes include level of exercise, confidence to manage diabetes, and psychosocial well-being.


DISCUSSION
The Whole Person Model is designed to enable health professionals to address mood disturbance without pathologizing any disorders and, in the context of the chronic illness, empowering behavior change and self-management. If proven effective, this model will strengthen capacity of the healthcare workforce to foster and support effective diabetes self-management.


TRIAL REGISTRATION
Australia and New Zealand Clinical Trials Register, ACTRN12613000391774.
Examining the effectiveness of technology use in classrooms: A tertiary meta-analysis

Identifying effective literacy instruction programs has been a focal point for governments, educators and parents over the last few decades (Ontario Ministry of Education, 2004, 2006; Council of Ontario Directors of Education, 2011). Given the increasing use of computer technologies in the classroom and in the home, a variety of information communication technology (ICT) interventions for learning have been introduced. Meta-analyses comparing the impact of these programs on learning, however, have yielded inconsistent findings (Andrews, Freeman, Hou, McGuinn, Robinson, & Zhu, 2007; Slavin, Cheung, Groff, & Lake, 2008; Slavin, Lake, Chambers, Cheung, & Davis, 2009; Torgerson & Zhu, 2003). The present tertiary meta-analytic review re-assesses outcomes presented in three previous meta-analyses. Four moderator variables assessed the impact of the systematic review from which they were retrieved, training and support, implementation fidelity and who delivered the intervention (teacher versus researcher). Significant results were found when training and support was entered as a moderator variable with the small overall effectiveness of the ICTs (ES 1⁄4 0.18), similar to those found in previous research, increasing significantly (ES 1⁄4 0.57). These findings indicate the importance of including implementation factors such as training and support, when considering the relative effectiveness of ICT interventions. © 2014 Elsevier Ltd. All rights reserved.
An intelligent hierarchical approach to actuator fault diagnosis and accommodation

This paper presents a novel intelligent hierarchical approach to automatically detecting, isolating, and accommodating faults in flight control systems. The proposed architecture has three main components. First, a new nonlinear fault diagnosis scheme is used to detect the occurrence of any faults and to determine the particular component that has failed. Second, a controller module consists of a primary nominal controller and a secondary adaptive fault-tolerant controller. While the nominal controller can be any existing conventional flight control system, the secondary neural network (NN) based nonlinear adaptive controller is designed to maintain acceptable control performance after the detection of fault occurrence. Third, a reconfiguration supervisor makes decision regarding controller reconfiguration and control reallocation by using on-line diagnostic information. Following failures of primary aerodynamic actuators, flight safety can be maintained by utilizing alternative actuation systems for critical stability and control augmentation tasks. The effectiveness of the proposed integrated fault diagnosis and accommodation approach has been illustrated by using the research civil aircraft model (RCAM) developed by the group for aeronautical research and technology in Europe (GARTEUR). Extensive simulation studies have clearly shown the benefits of the proposed adaptive fault-tolerant control scheme using on-line diagnostic information
Meta-analysis of the association between a serotonin transporter promoter polymorphism (5-HTTLPR) and anxiety-related personality traits.

Anxiety-related personality traits, such as NEO neuroticism and TCI/TPQ harm avoidance, have been shown to have significant genetic components. To date, however, no specific genetic variants that contribute to these traits have been conclusively identified. At least 26 studies have investigated a putative association between a functional serotonin transporter promoter polymorphism (5-HTTLPR) and anxiety-related personality traits. The results of these studies have been inconsistent with some studies finding evidence for an association, and others not. We performed a meta-analysis of all applicable studies investigating this association. In the overall analysis (N = 5,629 subjects), we found suggestive evidence for an association between the 5-HTTLPR short allele (s) and increased anxiety-related personality trait scores (P = 0.087). However, we also found strong evidence for heterogeneity. This heterogeneity is largely explained by substantial variation between the studies in the inventory used. When the analysis was stratified by inventory type, there was a significant association between 5-HTTLPR and NEO neuroticism (P = 0.000016), a non-significant association between 5-HTTLPR and TCI/TPQ harm avoidance (P = 0.166), and no association between 5-HTTLPR and other anxiety-related personality traits (P = 0.944). There was no evidence that these results were either due to publication bias or accounted for by any one single study. We conclude that there is a strong association between the serotonin transporter promoter variant and neuroticism as measured in the NEO personality inventory and that non-replications are largely due to small sample size and the use of different inventories.
Development of a highly sensitive and selective UPLC/MS/MS method for the simultaneous determination of testosterone and 5α-dihydrotestosterone in human serum to support testosterone replacement therapy for hypogonadism

A highly sensitive and selective quantitative method to accurately determine testosterone (Te) and 5alpha-dihydrotestosterone (DHT) in human serum is crucial to the success of Te replacement therapy for hypogonadism. To this end we have developed and validated a semi-automated and relatively high-throughput method in a 96-well plate format using ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC/MS/MS) for the simultaneous determination of Te and DHT in human serum. Te and DHT along with the internal standards [(2)H(3)]-Te and [(2)H(3)]-DHT were extracted from 300 microL of human serum by liquid-liquid extraction using methyl tertiary-butyl ether (MTBE), followed by derivatization with 2,3-pyridinedicarboxylic anhydride and solid-phase extraction for sample clean up. A novel chemical derivatization approach using 2,3-pyridinedicarboxylic anhydride was employed to achieve the MS sensitivity and selectivity required for DHT. Baseline separation of Te and DHT derivatives from endogenous steroid derivatives was achieved using UPLC technology on a C18 stationary-phase column with 1.7 microm particle size. The validity of using double charcoal-stripped female human serum as surrogate matrix for preparation of calibration standards was demonstrated through standard addition experiments. The method was validated over the concentration ranges of 0.2-40 ng/mL for Te and 0.01-2 ng/mL for DHT. The validation and study sample analysis results show that the method is rugged, precise, accurate, and well suited to support pharmacokinetic studies where approximately 300 samples can be extracted and analyzed in 1 day.
Antiretroviral Therapy Optimisation without Genotype Resistance Testing: A Perspective on Treatment History Based Models

BACKGROUND
Although genotypic resistance testing (GRT) is recommended to guide combination antiretroviral therapy (cART), funding and/or facilities to perform GRT may not be available in low to middle income countries. Since treatment history (TH) impacts response to subsequent therapy, we investigated a set of statistical learning models to optimise cART in the absence of GRT information.


METHODS AND FINDINGS
The EuResist database was used to extract 8-week and 24-week treatment change episodes (TCE) with GRT and additional clinical, demographic and TH information. Random Forest (RF) classification was used to predict 8- and 24-week success, defined as undetectable HIV-1 RNA, comparing nested models including (i) GRT+TH and (ii) TH without GRT, using multiple cross-validation and area under the receiver operating characteristic curve (AUC). Virological success was achieved in 68.2% and 68.0% of TCE at 8- and 24-weeks (n = 2,831 and 2,579), respectively. RF (i) and (ii) showed comparable performances, with an average (st.dev.) AUC 0.77 (0.031) vs. 0.757 (0.035) at 8-weeks, 0.834 (0.027) vs. 0.821 (0.025) at 24-weeks. Sensitivity analyses, carried out on a data subset that included antiretroviral regimens commonly used in low to middle income countries, confirmed our findings. Training on subtype B and validation on non-B isolates resulted in a decline of performance for models (i) and (ii).


CONCLUSIONS
Treatment history-based RF prediction models are comparable to GRT-based for classification of virological outcome. These results may be relevant for therapy optimisation in areas where availability of GRT is limited. Further investigations are required in order to account for different demographics, subtypes and different therapy switching strategies.
Reciprocal Velocity Obstacles for real-time multi-agent navigation

In this paper, we propose a new concept - the "Reciprocal Velocity Obstacle"- for real-time multi-agent navigation. We consider the case in which each agent navigates independently without explicit communication with other agents. Our formulation is an extension of the Velocity Obstacle concept [3], which was introduced for navigation among (passively) moving obstacles. Our approach takes into account the reactive behavior of the other agents by implicitly assuming that the other agents make a similar collision-avoidance reasoning. We show that this method guarantees safe and oscillation- free motions for each of the agents. We apply our concept to navigation of hundreds of agents in densely populated environments containing both static and moving obstacles, and we show that real-time and scalable performance is achieved in such challenging scenarios.
Biochemical impact of a soccer match - analysis of oxidative stress and muscle damage markers throughout recovery.

BACKGROUND
Exercise is a prone condition to enhanced oxidative stress and damage and the specific activity pattern of a soccer match may favour additional pro-oxidant redox alterations. To date, no studies have reported the impact of a soccer match on oxidative stress and muscle damage markers.


AIM
To analyse the effect of a competitive soccer match on plasma levels of oxidative stress and muscle damage markers, and to relate these findings with lower limb functional data.


METHODS
Blood samples, leg muscle strength, sprint ability and delayed-onset muscle soreness (DOMS) were obtained in 16 soccer players before, at 30 min, 24, 48 and 72 h after a soccer match. Plasma creatine kinase (CK), myoglobin (Mb), malondialdehyde (MDA), sulfhydryl (-SH) groups, total antioxidant status (TAS), uric acid (UA) and blood leukocyte counts were determined.


RESULTS
A soccer match elevated plasma Mb following 30 min and CK levels throughout the 72 h-recovery period. MDA increased throughout the recovery period and -SH decreased until 48 h post-match. TAS increased at 30 min and UA increased throughout the 72 h recovery. Blood neutrophils increased at 30 min whereas lymphocytes decreased and returned to baseline from 24 to 72 h. DOMS was higher than baseline until 72 h. Lower limb strength and sprint ability were lower than baseline until 72 h recovery.


CONCLUSION
The present data suggest that a soccer match increases the levels of oxidative stress and muscle damage throughout the 72 h-recovery period. The extent to which the redox alterations are associated with the recovery of muscle function should be further analysed.
Early HBeAg Loss During Peginterferon α-2b Therapy Predicts HBsAg Loss: Results of a Long-Term Follow-Up Study in Chronic Hepatitis B Patients

OBJECTIVES:Treatment with pegylated interferon (PEG-IFN) α-2b results in hepatitis B e antigen (HBeAg) loss in 36% of patients at 6 months post treatment. The aim of this study was to determine whether a long-term response to PEG-IFN is dependent on the timing of HBeAg loss.METHODS:A total of 91 patients treated with PEG-IFN α-2b alone (100 μg per week) and 81 patients treated with PEG-IFN α-2b and lamivudine (100 mg/day) for 52 weeks were enrolled in this study. Patients were initially followed up at 4-week intervals and had one additional long-term follow-up (LTFU) visit (mean: 3.03±0.77 years 26 weeks post treatment).RESULTS:Of the 172 patients included, 78 patients (46%) did not have loss of HBeAg, 47 (27%) lost HBeAg within 32 weeks, and 47 patients (27%) had loss of HBeAg after week 32. At LTFU, patients with HBeAg loss≤32 weeks had hepatitis B virus DNA of <400 copies/ml significantly more often than did those who lost HBeAg after week 32 (47 vs. 21%, respectively; P=0.009). Hepatitis B surface antigen (HBsAg) negativity was also observed significantly more often in patients with early HBeAg loss (36 vs. 4%, respectively, P<0.001). Early HBeAg loss tended to occur more often in patients treated with PEG-IFN and lamivudine combination therapy than in those treated with PEG-IFN alone (35 vs. 21%; P=0.10), as did HBsAg loss (15 vs. 8%; P=0.14).CONCLUSIONS:Early PEG-IFN-induced HBeAg loss results in a high likelihood of HBsAg loss and may be associated with more profound viral suppression during the first 32 weeks of therapy in patients treated with lamivudine combinations.
Electronic monitoring of medication adherence in early maintenance phase treatment for pediatric leukemia and lymphoma: identifying patterns of nonadherence.

OBJECTIVE
To describe patterns of treatment adherence to early maintenance phase therapy for acute lymphoblastic leukemia (ALL) and lymphoblastic lymphoma (LBL).


METHODS
Using an objective observational method (electronic monitoring), adherence was examined for 139 patients aged 7-19 years diagnosed with ALL or LBL across 6 centers.


RESULTS
The mean adherence percentage was 86.2%. Adherence rates declined over the 1-month of follow-up to 83%. 3 linear trajectories of 6-mercaptopurine adherence were identified: (1) exemplary adherence (n = 99): Averaging nearly 100%; (2) deteriorating (n = 23): Adherence decreased from 100 to 60%; and (3) chronically poor adherence (n = 9): Averaging 40%.


CONCLUSIONS
Adherence promotion interventions might be tailored to subgroups of patients who demonstrated problematic patterns of treatment adherence that could place them at risk for relapse. This research demonstrates the importance of using objective real-time measures of medication adherence for measuring and documenting adherence patterns.
Genome-wide analysis of the odorant-binding protein gene family in Drosophila melanogaster.

Olfaction is of considerable importance to many insects in behaviors critical for survival and reproduction, including location of food sources, selection of mates, recognition of colony con-specifics, and determination of oviposition sites. An ubiquitous, but poorly understood, component of the insect's olfactory system is a group of odorant-binding proteins (OBPs) that are present at high concentrations in the aqueous lymph surrounding the dendrites of olfactory receptor neurons. OBPs are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as odorant presenters. Here we show that the Drosophila genome carries 51 potential OBP genes, a number comparable to that of its odorant-receptor genes. We find that the majority (73%) of these OBP-like genes occur in clusters of as many as nine genes, in contrast to what has been observed for the Drosophila odorant-receptor genes. Two of the presumptive OBP gene clusters each carries an odorant-receptor gene. We also report an intriguing subfamily of 12 putative OBPs that share a unique C-terminal structure with three conserved cysteines and a conserved proline. Members of this subfamily have not previously been described for any insect. We have performed phylogenetic analyses of the OBP-related proteins in Drosophila as well as other insects, and we discuss the duplication and divergence of the genes for this large family. [The sequence data from this study have been submitted to FlyBase. Annotations for these sequences are available as supplementary material at http://www.genome.org.]
Design patterns to guide player movement in 3D games

Video games today increasingly situate play in imaginative 3D worlds. As a result, the industry devotes much time and effort to level design. However, this subject has received very little research. Documentation on the process of level design or how designers push or pull players through a level within a video game is very sparse. In this paper, we propose a set of design patterns for level design. The patterns were developed based on a process involving interviews with game designers as well as gameplay analysis of different games. We established face validity of these patterns through expert review; we also established reliability using inter-rater agreement. In addition, we also developed a timeline video annotation method based on these patterns. This visualization method provides a very effective approach to view players' play style and preference as well as level design problems. The patterns as well as the visualization method will be discussed in the paper.
GeoGebra in mathematics teaching

GeoGebra is a dynamic mathematics software which combines dynamic geometry and computer algebra systems into an easy-to-use package. Its marvel lies in the fact that it offers both the geometrical and algebraic representation of each mathematical object (points, lines etc.). The present article gives a sample of the potential uses of GeoGebra for mathematics teaching in secondary schools.