LLukas22/scidocs huggingface dataset:
Implementing practical interventions to support chronic illness self-management.

BACKGROUND
Self-management support (SMS) is the area of disease management least often implemented and most challenging to integrate into usual care. This article outlines a model of SMS applicable across different chronic illnesses and health care systems, presents recommendations for assisting health care professionals and practice teams to make changes, and provides tips and lessons learned. Strategies can be applied across a wide range of conditions and settings by health educators, care managers, quality improvement specialists, researchers, program evaluators, and clinician leaders. Successful SMS programs involve changes at multiple levels: patient-clinician interactions; office environment changes; and health system, policy, and environmental supports. PATIENT-CLINICIAN INTERACTION LEVEL: Self-management by patients is not optional but inevitable because clinicians are present for only a fraction of the patient's life, and nearly all outcomes are mediated through patient behavior. Clinicians who believe they are in control or responsible for a patient's well-being are less able to adopt an approach that acknowledges the central role of the patient in his or her care.


SUMMARY AND CONCLUSIONS
Self-management should be an integral part of primary care, an ongoing iterative process, and patient centered; use collaborative goal setting and decision making; and include problem solving, outreach, and systematic follow-up.
Negotiation or Mediation?: An Exploration of Factors Affecting the Choice of Conflict Management in International Conflict

The conditions under which negotiation or mediation are chosen in international conflict have been little studied. Previous research has tended to focus on the motivations and rational calculations of the states involved. Scant attention has been given to examining the effect of the context on this choice. In this article, we present a framework for studying the contextual conditions under which negotiation or mediation is likely to take place. Employing an original data set, we find that negotiation tends to be used when conflicts are relatively simple, of a low intensity, and when both parties are relatively equal in power. Mediation, on the other hand, tends to be used in disputes characterized by high complexity, high intensity, long duration, unequal and fractionated parties, and where the willingness of the parties to settle peacefully is in doubt.
Stable theories and representation over sets

In this paper we explore the representation property over sets. This property generalizes constructibility, however is weak enough to enable us to prove that the class of theories $T$ whose models are representable is exactly the class of stable theories. Stronger results are given for omega-stable.
A novel progressive learning technique for multi-class classification

In this paper, a progressive learning technique for multi-class classification is proposed. This newly developed learning technique is independent of the number of class constraints and it can learn new classes while still retaining the knowledge of previous classes. Whenever a new class (non-native to the knowledge learnt thus far) is encountered, the neural network structure gets remodeled automatically by facilitating new neurons and interconnections, and the parameters are calculated in such a way that it retains the knowledge learnt thus far. This technique is suitable for realworld applications where the number of classes is often unknown and online learning from real-time data is required. The consistency and the complexity of the progressive learning technique are analyzed. Several standard datasets are used to evaluate the performance of the developed technique. A comparative study shows that the developed technique is superior. Key Words—Classification, machine learning, multi-class, sequential learning, progressive learning.
A HIGH-RANK RNN LANGUAGE MODEL

We formulate language modeling as a matrix factorization problem, and show that the expressiveness of Softmax-based models (including the majority of neural language models) is limited by a Softmax bottleneck. Given that natural language is highly context-dependent, this further implies that in practice Softmax with distributed word embeddings does not have enough capacity to model natural language. We propose a simple and effective method to address this issue, and improve the state-of-the-art perplexities on Penn Treebank and WikiText-2 to 47.69 and 40.68 respectively.1
Comparison of Active Interrogation Techniques

Active interrogation is necessary to detect highly enriched uranium in large cargo containers and trucks. To achieve sufficient penetration, most nuclear techniques first interrogate an object with high-energy photons or neutrons, to produce fission in any highly enriched uranium that may be present, and then detect the gamma rays or neutrons that are produced. Pulsed beams allow the detection of delayed gamma rays or neutrons from fission products between pulses. Many different systems have been proposed recently. This report presents the results for several techniques, both from measurements and from extensive simulations with the MCNPX code
Protocols for Arabidopsis thaliana and Piriformospora indica co-cultivation – A model system to study plant beneficial traits

Joy Michal Johnson, Irena Sherameti, Anatoli Ludwig, Pyniarlang L. Nongbri, Chao Sun, Binggan Lou, Ajit Varma and Ralf Oelmüller Institute of General Botany and Plant Physiology, FSU Jena, Dornburger Str. 159, 07743 Jena, Germany; Institute of Biotechnology, Zhejiang University, Hangzhou 310029, China; Amity Institute of Microbial Technology, Amity University Uttar Pradesh, E-3 Block, Fourth Floor, Sector 125, Noida, UP 201303, India; *correspondence to: b7oera@hotmail.de
Wideband rectangular slot antenna for personal wireless communication systems

Antenna designs were achieved for wideband operation by the use of a coplanar patch-slot antenna, fed by a coplanar waveguide. This design is easily tuned to operate at 2.45 and 5.75 GHz, with wide bandwidth for wireless systems. The operating frequency is controlled by modifying the patch dimensions. The return loss, input impedance, radiation pattern, directivity, gain, and efficiency of the proposed designs are computed and presented. A parametric study of the antenna is also introduced.
Acquired equine polyneuropathy in Norway and Sweden: a clinical and epidemiological study.

REASONS FOR PERFORMING STUDY
Acquired equine polyneuropathy (AEP, also known as 'Scandinavian knuckling syndrome'), is a serious disease of unknown aetiology, which emerged clustering in horse farms in Sweden, Norway and Finland in the 1990s. Clinical and epidemiological data regarding the syndrome are scarce.


OBJECTIVES
To describe the clinical and epidemiological findings and outcome in outbreaks of AEP and compare risk factors in affected and unaffected horses on affected farms in Norway and Sweden during 2007-2009.


METHODS
Neurological examinations were performed and data collected regarding demography, usage, turning-out, feeding, prophylactic strategies and long-term outcome.


RESULTS
Thirteen affected farms with 157 horses of various breeds, of which 42 were AEP cases, were studied. Typical digital extensor dysfunction and knuckling of pelvic limbs were noted in 34 definitive cases. Eight additional plausible cases had a severe, acute course of neurological disease. There were no signs of brain orcranial nerve dysfunction. Cases occurred from December to April, with new cases emerging within 100 days of the index case. Affected and unaffected horses were fed wrapped forage. Prevalence for AEP was 27% and case fatality 29%. The median duration of AEP in survivors was 4.4 months (1-17 months). Survivors returned to full work within 19 months (median 6.6 months). Acquired equine polyneuropathy was less prevalent in horses aged > 12 years and young horses had a higher chance of survival than older horses. Management factors did not differ between affected and unaffected horses.


CONCLUSIONS
Acquired equine polyneuropathy is a potentially fatal neurological disease characterised by pelvic limb knuckling. Surviving horses returned to normal function after a long period of rest. Cases were clustered in farms during the winter/spring season. Wrapped forage was used in all farms.


POTENTIAL RELEVANCE
The results provide valuable insights into the dinical examination, handling and prognosis of cases of AEP, an emerging neurological disease of unknown aetiology in horses.
Magnetic intensity affects cryptochrome-dependent responses in Arabidopsis thaliana

Cryptochromes are blue-light absorbing photoreceptors found in many organisms where they have been involved in numerous growth, developmental, and circadian responses. In Arabidopsis thaliana, two cryptochromes, CRY1 and CRY2, mediate several blue-light-dependent responses including hypocotyl growth inhibition. Our study shows that an increase in the intensity of the ambient magnetic field from 33–44 to 500 μT enhanced growth inhibition in A. thaliana under blue light, when cryptochromes are the mediating photoreceptor, but not under red light when the mediating receptors are phytochromes, or in total darkness. Hypocotyl growth of Arabidopsis mutants lacking cryptochromes was unaffected by the increase in magnetic intensity. Additional cryptochrome-dependent responses, such as blue-light-dependent anthocyanin accumulation and blue-light-dependent degradation of CRY2 protein, were also enhanced at the higher magnetic intensity. These findings show that higher plants are sensitive to the magnetic field in responses that are linked to cryptochrome-dependent signaling pathways. Because cryptochromes form radical pairs after photoexcitation, our results can best be explained by the radical-pair model. Recent evidence indicates that the magnetic compass of birds involves a radical pair mechanism, and cryptochrome is a likely candidate for the avian magnetoreception molecule. Our findings thus suggest intriguing parallels in magnetoreception of animals and plants that appear to be based on common physical properties of photoexcited cryptochromes.
Preparation, In Vitro Characterization and Preliminary In Vivo Evaluation of Buccal Polymeric Films Containing Chlorhexidine

The aim of this work was to investigate the suitability of some polymeric films as buccal systems for the delivery of the antiseptic drug chlorhexidine diacetate, considered as a valid adjunct in the treatment of oral candidiasis. Six different film formulations, mono- or double-layered, containing 5 or 10 mg of chlorhexidine diacetate, respectively, and alginate and/or hydroxypropylmethylcellulose and/or chitosan as excipients, were prepared by a casting-solvent evaporation technique and characterized in terms of drug content, morphology (scanning electron microscopy), drug release behavior, and swelling properties. Moreover, the in vivo concentrations of chlorhexidine diacetate in saliva were evaluated after application of a selected formulation on the oral mucosa of healthy volunteers. The casting-solvent evaporation proved to be a suitable technique for preparing soft, flexible, and easily handy mono- or double-layered chlorhexidine-loaded films. Some prepared formulations showed favorable in vitro drug release rates and swelling properties. The behavior of a selected formulation, chosen on the basis of its in vitro release results, was preliminarily investigated in vivo after application in the oral cavity of healthy volunteers. The films were well tolerated and the salivary chlorhexidine concentrations were maintained above the minimum inhibitory concentration for Candida albicans for almost 3 h. These preliminary results indicate that polymeric films can represent a valid vehicle for buccal delivery of antifungal/antimicrobial drugs.
Purchasing Consortia of Transportation Services in Humanitarian Logistics

Purpose - The thesis aims to provide a framework of measuring the performance of pur-chasing consortia humanitarian sector. The performance measurement seeks to identify the competitive advantages ...
Terminal complement blockade with pexelizumab during coronary artery bypass graft surgery requiring cardiopulmonary bypass: a randomized trial.

CONTEXT
Inflammation and ischemia-reperfusion injury during coronary artery bypass graft (CABG) surgery requiring cardiopulmonary bypass are associated with postoperative myocardial infarction (MI) and mortality.


OBJECTIVE
To determine the efficacy and safety of pexelizumab, a C5 complement inhibitor, in reducing perioperative MI and mortality in CABG surgery.


DESIGN, SETTING, AND PARTICIPANTS
A randomized, double-blind, placebo-controlled trial, including 3099 patients (> or = 18 years) undergoing CABG surgery with or without valve surgery at 205 hospitals in North America and Western Europe from January 2002 to February 2003.


INTERVENTIONS
Patients were randomly assigned to receive intravenous pexelizumab (2.0 mg/kg bolus plus 0.05 mg/kg per hour for 24 hours; n = 1553) or placebo (n = 1546) 10 minutes before undergoing the procedure.


MAIN OUTCOME MEASURES
The primary composite end point was the incidence of death or MI within 30 days of randomization in those undergoing CABG surgery only (n = 2746). Secondary analyses included the intent-to-treat analyses of death or MI composite at days 4 and 30 in all 3099 study patients.


RESULTS
After 30 days, 134 (9.8%) of 1373 of patients receiving pexelizumab vs 161 (11.8%) of 1359 of patients receiving placebo (relative risk, 0.82; 95% confidence interval, 0.66-1.02; P =.07) died or experienced MI in the CABG surgery only population. In the intent-to-treat analyses, 178 (11.5%) of 1547 patients receiving pexelizumab vs 215 (14.0%) of 1535 receiving placebo died or experienced MI (relative risk, 0.82; 95% confidence interval, 0.68-0.99; P =.03). The trial was not powered to detect a reduction in mortality alone.


CONCLUSIONS
Compared with placebo, pexelizumab was not associated with a significant reduction in the risk of the composite end point of death or MI in 2746 patients who had undergone CABG surgery only but was associated with a statistically significant risk reduction 30 days after the procedure among all 3099 patients undergoing CABG with or without valve surgery.
Aspirin treatment influences platelet-related inflammatory biomarkers in healthy individuals but not in acute stroke patients.

OBJECTIVES
Platelet-leukocyte aggregation is believed to contribute to acute thrombotic events. While the effect of aspirin on platelet-to-platelet aggregation is well established, the impact of the drug on pro-inflammatory platelet function remains equivocal. Thus we investigated the effect of aspirin on selected platelet-related inflammatory biomarkers in both acute ischaemic stroke patients and healthy volunteers.


METHODS
Using five-colour flow cytometry the platelet surface expression of CD62P and CD40L and subpopulations of leukocyte-platelet aggregates were assessed in 63 acute stroke patients and 40 healthy volunteers at baseline and after a 10-day period of aspirin intake at a daily dose of 150 mg. Simultaneously the plasma levels of soluble CD62P and CD40L, serum level of TxB(2), and whole blood impedance platelet aggregation under arachidonic acid (AA) stimulation were investigated.


RESULTS
No differences in values of studied platelet-related inflammatory biomarkers in both resting platelets and those activated with TRAP after 10-day treatment with aspirin were confirmed in stroke subjects. In healthy individuals the resting platelet expression of CD62P, plasma level of soluble CD62P and percentage of circulating monocyte-platelet aggregates were lower after the aspirin intake period (P=0.009; P=0.04; P=0.004, respectively). In both studied groups serum level of TxB(2) and platelet aggregation under AA stimulation were lower than before treatment (P<0.001).


CONCLUSION
Despite effective inhibition of COX-1-dependent platelet aggregation, aspirin does not influence the platelet α-granule-derived inflammatory mediators and monocyte-platelet aggregation in acute stroke subjects, although it does in healthy individuals.
A Unified Generative Adversarial Framework for Image Generation and Person Re-identification

Person re-identification (re-id) aims to match a certain person across multiple non-overlapping cameras. It is a challenging task because the same person's appearance can be very different across camera views due to the presence of large pose variations. To overcome this issue, in this paper, we propose a novel unified person re-id framework by exploiting person poses and identities jointly for simultaneous person image synthesis under arbitrary poses and pose-invariant person re-identification. The framework is composed of a GAN based network and two Feature Extraction Networks (FEN), and enjoys following merits. First, it is a unified generative adversarial model for person image generation and person re-identification. Second, a pose estimator is utilized into the generator as a supervisor in the training process, which can effectively help pose transfer and guide the image generation with any desired pose. As a result, the proposed model can automatically generate a person image under an arbitrary pose. Third, the identity-sensitive representation is explicitly disentangled from pose variations through the person identity and pose embedding. Fourth, the learned re-id model can have better generalizability on a new person re-id dataset by using the synthesized images as auxiliary samples. Extensive experimental results on four standard benchmarks including Market-1501 [69], DukeMTMC-reID [40], CUHK03 [23], and CUHK01 [22] demonstrate that the proposed model can perform favorably against state-of-the-art methods.
Prestroke physical activity is associated with severity and long-term outcome from first-ever stroke.

OBJECTIVE
To determine whether prestroke level of physical activity influenced stroke severity and long-term outcome.


METHODS
Patients included into the present analyses represent a subset of patients with first-ever stroke enrolled into the ExStroke Pilot Trial. Patients with ischemic stroke were randomized in the ExStroke Pilot Trial to an intervention of repeated instructions and encouragement to increase the level of physical activity or to a control group. Prestroke level of physical activity was assessed retrospectively by interview using the Physical Activity Scale for the Elderly (PASE) questionnaire. The PASE questionnaire quantifies the amount of physical activity done during a 7-day period. In this prospectively collected patient population initial stroke severity was measured using the Scandinavian Stroke Scale and long-term outcome was assessed after 2 years using the modified Rankin Scale. Statistical analyses were done using ordinal logistic regression.


RESULTS
Data from 265 patients were included with a mean (SD) age of 68.2 (12.2) years. Confirming univariable analyses, multivariable analyses showed that patients with physical activity in the top quartile more likely presented with a less severe stroke, OR 2.54 (95% CI 1.30-4.95), and had a decreased likelihood of poor outcome, OR 0.46 (95% CI 0.22-0.96), compared to patients in the lowest quartile.


CONCLUSIONS
In the present study physical activity prior to stroke was associated with a less severe stroke and better long-term outcome.
Progressive simplicial complexes

In this paper, we introduce the progressive simplicial complex (PSC) representation, a new format for storing and transmitting triangulated geometric models. Like the earlier progressive mesh (PM) representation, it captures a given model as a coarse base model together with a sequence of refinement transformations that progressively recover detail. The PSC representation makes use of a more general refinement transformation, allowing the given model to be an arbitrary triangulation (e.g. any dimension, non-orientable, non-manifold, non-regular), and the base model to always consist of a single vertex. Indeed, the sequence of refinement transformations encodes both the geometry and the topology of the model in a unified multiresolution framework. The PSC representation retains the advantages of PM’s. It defines a continuous sequence of approximating models for runtime level-of-detail control, allows smooth transitions between any pair of models in the sequence, supports progressive transmission, and offers a space-efficient representation. Moreover, by allowing changes to topology, the PSC sequence of approximations achieves better fidelity than the corresponding PM sequence. We develop an optimization algorithm for constructing PSC representations for graphics surface models, and demonstrate the framework on models that are both geometrically and topologically complex. CR Categories: I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling surfaces and object representations. Additional
Prevalence and association of somatic symptoms in patients with Major Depressive Disorder.

BACKGROUND
Painful and non-painful somatic symptoms are often reported in patients with depressive disorder. The proper identification of depression-relevant somatic symptoms is important for the accurate diagnosis of depression, development of treatment strategies and measurement of outcome. The objective of this study was to characterize the relationship between somatic symptoms and depression in patients diagnosed with Major Depressive Disorder (MDD), using data from randomized drug trials carried out by a pharmaceutical company.


METHODS
Pooled 'blinded' data from 2191 patients enrolled in randomized, multicenter, double-blind placebo-controlled studies for the treatment of MDD were analyzed. Somatic symptoms were assessed using the Somatic Symptoms Inventory (SSI) and the Hamilton Depression Rating Scale (HAMD) was used to assess symptoms of depression.


RESULTS
The most common somatic symptom reported by patients with MDD was 'feeling fatigued, weak, or tired all over', with 78% of patients reporting 'moderate' levels or above. This was followed by 'feeling that not in as good physical health as most of your friends' (59%), 'not feeling well most of the time in the past few years' (54%), and 'feeling weak in parts of body' (45%). 'Headache' was the most common pain-related symptom with 43% reporting 'moderate' or above. Pearson's product-moment correlations revealed that somatic symptoms generally increased as a function of overall depressive (r=0.43), with 'feeling fatigued, weak, or tired all over' (r=0.50), 'feeling that not in as good physical health as most of your friends' (r=0.42), 'feeling weak in parts of body' (r=0.41), 'heavy feeling in arms and legs' (r=0.34), 'not feeling well most of the time in the past few years' (r=0.32), and 'headache' (r=0.31) showing the strongest correlation with overall HAMD scores. Non-parametric item response analyses showed that many somatic symptoms demonstrate good relationship between item response and the overall severity of depression. In particular, 'feeling fatigued, weak, or tired all over' exhibited good discriminative properties across the full range of severity for depression.


LIMITATIONS
The analysis utilized data from a 'restricted' patient population in drug trials sponsored by a pharmaceutical company.


CONCLUSIONS
These results demonstrate a high prevalence and association of somatic symptoms in patients with MDD, including feelings of fatigue, physical malaise and pain-related symptoms, which could be potentially useful in the assessment of depression and in the evaluation of treatment strategies.