LLukas22/scidocs huggingface dataset:
Rationale and design of the Post-MI FREEE trial: a randomized evaluation of first-dollar drug coverage for post-myocardial infarction secondary preventive therapies.

BACKGROUND
Medication nonadherence is a major public health problem, especially for patients with coronary artery disease. The cost of prescription drugs is a central reason for nonadherence, even for patients with drug insurance. Removing patient out-of-pocket drug costs may increase adherence, improve clinical outcomes, and even reduce overall health costs for high-risk patients. The existing data are inadequate to assess whether this strategy is effective.


TRIAL DESIGN
The Post-Myocardial Infarction Free Rx and Economic Evaluation (Post-MI FREEE) trial aims to evaluate the effect of providing full prescription drug coverage (ie, no copays, coinsurance, or deductibles) for statins, beta-blockers, angiotensin-converting enzyme inhibitors, and angiotensin II receptor blockers to patients after being recently discharged from the hospital. Potentially eligible patients will be those individuals who receive their health and pharmacy benefits through Aetna, Inc. Patients enrolled in a Health Savings Account plan, who are > or =65 years of age, whose plan sponsor (ie, the employer, union, government, or association that sponsors the particular benefits package) has opted out of participating in the study, and who do not receive both medical services and pharmacy coverage through Aetna will be excluded. The plan sponsor of each eligible patient will be block randomized to either full drug coverage or current levels of pharmacy benefit, and all subsequently eligible patients of that same plan sponsor will be assigned to the same benefits group. The primary outcome of the trial is a composite clinical outcome of readmission for acute MI, unstable angina, stroke, congestive heart failure, revascularization, or inhospital cardiovascular death. Secondary outcomes include medication adherence and health care costs. All patients will be followed up for a minimum of 1 year.


CONCLUSION
The Post-MI FREEE trial will be the first randomized study to evaluate the impact of reducing cost-sharing for essential cardiac medications in high-risk patients on clinical and economic outcomes.
Postural instability, the absence of sexual intercourse in the past month, and loss of libido are predictors of sexual dysfunction in Parkinson's disease.

OBJECTIVE
To determine the prevalence and predictors of sexual dysfunction (SD) in Parkinson's disease (PD) patients.


BACKGROUND
Assessments of SD in the professional literature is limited. Understanding the predictors of SD can help physicians focus on this problem in vulnerable patients.


METHOD
A total of 60 PD patients and 60 controls answered the Arizona Sexual Experiences Scale-Thai Version (ASEX-Thai) and the Hamilton Depression Rating Scale (HAMD) questionnaires, and were asked on 3 additional sets of questions about premature ejaculation (PE), dyspareunia, and hypersexual disorders.


RESULT
The prevalence of SD in PD patients and controls was 81.6% and 48.3% respectively (p < 0.05). PD patients had lower BMI, lower uric acid level, higher HAMD score and had sexual intercourse (SI) less frequently. SD correlated with greater disease severity and depression. The most distressing problem in male patients was PE (51.4%) and orgasmic dissatisfaction (76%) for female patients. Logistic regression analysis found 3 factors were related to SD: no SI in the past month (p < 0.001), postural instability (PI) (p = 0.028), and HAMD item 14 (p = 0.021), predicting SD with the OR of 12.2, 5.5, and 5.0 respectively.


CONCLUSIONS
SD in PD is common and usually occurs with depression. Absence of SI in the past month, PI, and loss of libido are predictors of SD in PD. A simple and quick screening of SD can be routinely performed by inquiring patients about the frequency of SI and the examination of the pull test. Detailed assessment of sexual functioning and depression may guide physicians in proper management.
The Effect of Alternative Summary Statistics for Communicating Risk Reduction on Decisions about Taking Statins: A Randomized Trial

BACKGROUND
While different ways of presenting treatment effects can affect health care decisions, little is known about which presentations best help people make decisions consistent with their own values. We compared six summary statistics for communicating coronary heart disease (CHD) risk reduction with statins: relative risk reduction and five absolute summary measures-absolute risk reduction, number needed to treat, event rates, tablets needed to take, and natural frequencies.


METHODS AND FINDINGS
We conducted a randomized trial to determine which presentation resulted in choices most consistent with participants' values. We recruited adult volunteers who participated through an interactive Web site. Participants rated the relative importance of outcomes using visual analogue scales (VAS). We then randomized participants to one of the six summary statistics and asked them to choose whether to take statins based on this information. We calculated a relative importance score (RIS) by subtracting the VAS scores for the downsides of taking statins from the VAS score for CHD. We used logistic regression to determine the association between participants' RIS and their choice. 2,978 participants completed the study. Relative risk reduction resulted in a 21% higher probability of choosing to take statins over all values of RIS compared to the absolute summary statistics. This corresponds to a number needed to treat (NNT) of 5; i.e., for every five participants shown the relative risk reduction one additional participant chose to take statins, compared to the other summary statistics. There were no significant differences among the absolute summary statistics in the association between RIS and participants' decisions whether to take statins. Natural frequencies were best understood (86% reported they understood them well or very well), and participants were most satisfied with this information.


CONCLUSIONS
Presenting the benefits of taking statins as a relative risk reduction increases the likelihood of people accepting treatment compared to presenting absolute summary statistics, independent of the relative importance they attach to the consequences. Natural frequencies may be the most suitable summary statistic for presenting treatment effects, based on self-reported preference, understanding of and satisfaction with the information, and confidence in the decision.


CLINICAL TRIALS REGISTRATION
ISRCTN85194921.
Synchronous Firefly Algorithm for Cluster Head Selection in WSN

Wireless Sensor Network (WSN) consists of small low-cost, low-power multifunctional nodes interconnected to efficiently aggregate and transmit data to sink. Cluster-based approaches use some nodes as Cluster Heads (CHs) and organize WSNs efficiently for aggregation of data and energy saving. A CH conveys information gathered by cluster nodes and aggregates/compresses data before transmitting it to a sink. However, this additional responsibility of the node results in a higher energy drain leading to uneven network degradation. Low Energy Adaptive Clustering Hierarchy (LEACH) offsets this by probabilistically rotating cluster heads role among nodes with energy above a set threshold. CH selection in WSN is NP-Hard as optimal data aggregation with efficient energy savings cannot be solved in polynomial time. In this work, a modified firefly heuristic, synchronous firefly algorithm, is proposed to improve the network performance. Extensive simulation shows the proposed technique to perform well compared to LEACH and energy-efficient hierarchical clustering. Simulations show the effectiveness of the proposed method in decreasing the packet loss ratio by an average of 9.63% and improving the energy efficiency of the network when compared to LEACH and EEHC.
Acellular dermis compared to skin grafts in oral cavity reconstruction.

OBJECTIVES/HYPOTHESIS
To compare the efficacy of acellular dermal matrix (ADM) and split thickness skin grafts (STSG) in oral cavity reconstruction.


STUDY DESIGN
Prospective cohort study.


METHODS
Thirty-four patients were included in this study (ADM, n = 22; STSG, n = 12). Evaluation for patient demographics, graft site, graft contracture, and functional status as defined by the EORTC QLQ-C30 and the H&N35 questionnaires. A subgroup of patients underwent graft site biopsy for histological analysis. A cost estimate of both procedures was also performed.


RESULTS
Patient groups were similar in age, sex, race, smoking exposure, and site grafted. More patients were treated with radiation therapy (pre- or postoperative) in the ADM group (45%) compared to the STSG group (17%). Graft failure rate was higher in the ADM group (14% vs. 0%), and both groups had similar estimated graft contraction. The quality of life survey results favored the ADM group, but only the category of trouble with social eating was statistically significant (P = .03). Radiation therapy had a significantly negative impact for both ADM and STSG. Histology demonstrated increased inflammation, fibrosis, and elastic fibers in the STSG group. The cost of the STSG was 3.5 times higher than the ADM group.


CONCLUSIONS
Acellular dermis grafting for reconstruction of the oral cavity offers several advantages over STSG, including the lack of donor site morbidity, lower cost, a natural appearing mucosal surface, and comparable if not superior functional status. Lower graft survival rates for ADM in the setting of prior radiation and with thicker graft material was encountered.
Low Order PWM Inverter Harmonics Contributions to the Inverter-Fed Induction Machine Fault Diagnosis

In this paper, the effects of inverter harmonics on motor current fault signatures are studied in detail. It is theoretically and experimentally shown that the fault signatures caused by the inverter harmonics are similar and comparable to those generated by the fundamental harmonic on the line current. Theoretically-derived extended relations including bearing fault, eccentricity, and broken rotor bar relations are found to match experimental results. Furthermore, it is observed and reported that the asymmetries on the rotor caused by broken rotor bars increase the amplitude of even harmonics. To confirm these claims, bearing, eccentricity, and broken rotor bar faults are tested and the line current spectrum of each faulty motor is compared with the healthy one. The proposed additional fault data are expected to contribute positively to the inverter-fed motor fault decision making algorithms.
Body integrity identity disorder and Gender Dysphoria : A pilot study to investigate similarities and differences

Objective: Body Integrity Identity Disorder (BIID) describes a phenomenon in which physically healthy people feel the constant desire for an impairment of their body. M. First [4] suggested to classify BIID as an identity disorder. The other main disorder in this respect is Gender Dysphoria. In this paper these phenomena are compared. Method: A questionnaire survey with transsexuals (number of subjects, N=19) and BIID sufferers (N=24) measuring similarities and differences. Age and educational level of the subjects are predominantly matched. Results: No differences were found between BIID and Gender Dysphoria with respect to body image and body perception (U-test: p-value=.757), age of onset (p=.841), the imitation of the desired identity (p=.699 and p=.938), the etiology (p=.299) and intensity of desire (p=.989 and p=.224) as well as in relation to a high level of suffering and impaired quality of life (p=.066). Conclusion: There are many similarities between BIID and Gender Dysphoria, but the sample was too small to make general statements. The results, however, indicate that BIID can actually be classified as an identity disorder.
Explainable Reasoning over Knowledge Graphs for Recommendation

Incorporating knowledge graph into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity between users and items can be discovered as paths, which provide rich and complementary information to user-item interactions. Such connectivity not only reveals the semantics of entities and relations, but also helps to comprehend a user’s interest. However, existing efforts have not fully explored this connectivity to infer user preferences, especially in terms of modeling the sequential dependencies within and holistic semantics of a path. In this paper, we contribute a new model named Knowledgeaware Path Recurrent Network (KPRN) to exploit knowledge graph for recommendation. KPRN can generate path representations by composing the semantics of both entities and relations. By leveraging the sequential dependencies within a path, we allow effective reasoning on paths to infer the underlying rationale of a user-item interaction. Furthermore, we design a new weighted pooling operation to discriminate the strengths of different paths in connecting a user with an item, endowing our model with a certain level of explainability. We conduct extensive experiments on two datasets about movie and music, demonstrating significant improvements over state-of-the-art solutions Collaborative Knowledge Base Embedding and Neural Factorization Machine. Introduction Prior efforts have shown the importance of incorporating auxiliary data into recommender systems, such as user profiles (Wang et al. 2018c) and item attributes (Bayer et al. 2017). Recently, knowledge graphs (KGs) have attracted increasing attention (Zhang et al. 2016; Shu et al. 2018; Wang et al. 2018a), due to its comprehensive auxiliary data: background knowledge of items and their relations amongst them. It usually organizes the facts of items in the form of triplets like (Ed Sheeran, IsSingerOf, Shape of You), which can be seamlessly integrated with user-item interactions (Chaudhari, Azaria, and Mitchell 2016; Cao et al. 2017). More important, by exploring the interlinks within ∗The first three authors have equal contribution. †Dingxian Wang is the corresponding author. Copyright c © 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. Knowledge Graph Shape of You Ed Sheeran SungBy WrittenBy ÷
Pedestrian Recognition with a Learned Metric

This paper presents a new method for viewpoint invariant pedestrian recognition problem. We use a metric learning framework to obtain a robust metric for large margin nearest neighbor classification with rejection (i.e., classifier will return no matches if all neighbors are beyond a certain distance). The rejection condition necessitates the use of a uniform threshold for a maximum allowed distance for deeming a pair of images a match. In order to handle the rejection case, we propose a novel cost similar to the Large Margin Nearest Neighbor (LMNN) method and call our approach Large Margin Nearest Neighbor with Rejection (LMNN-R). Our method is able to achieve significant improvement over previously reported results on the standard Viewpoint Invariant Pedestrian Recognition (VIPeR [1]) dataset.
Experimental design verification of a compliant shoulder exoskeleton

Many existing exoskeletons have followed a similar design approach: a rigid kinematic chain is actuated to mobilize a human wearer. However, in a clinical setting for rehabilitation where one exoskeleton is shared by multiple patients, it will be difficult to guarantee on-site adjustments can make the rigid exoskeleton fit each patient kinematically perfectly. This paper proposed an alternative exoskeleton design that uses compliant continuum mechanisms. Its intrinsic flexibility adapts to different human anatomy automatically. Design concepts and component descriptions were elaborated for this shoulder exoskeleton, including kinematics, construction, actuation, transmission schemes, etc. A series of experiments were conducted to characterize shapes of the flexible members within the continuum structure as well as demonstrate the effectiveness of using such an exoskeleton to assist different patients with their limb motions.
Data clustering based on correlation analysis applied to highly variable domains

Clustering of traffic data based on correlation analysis is an important element of several network management objectives including traffic shaping and quality of service control. Existing correlation-based clustering algorithms are affected by poor results when applied to highly variable time series characterizing most network traffic data. This paper proposes a new similarity measure for computing clusters of highly variable data on the basis of their correlation. Experimental evaluations on several synthetic and real datasets show the accuracy and robustness of the proposed solution that improves existing clustering methods based on statistical correlations. 2013 Elsevier B.V. All rights reserved.
Multidisciplinary assessment of post-Ebola sequelae in Guinea (Postebogui): an observational cohort study.

BACKGROUND
The high number of survivors from the 2013-16 west African outbreak of Ebola virus disease (EVD) has raised several new issues: long-term clinical complications, psychosocial consequences, risks of EVD reactivation, and secondary transmission due to viral persistence in body fluids. We aimed to assess long-term clinical, psychosocial, and viral outcomes in EVD survivors in Guinea.


METHODS
In this multidisciplinary observational cohort study, we recruited patients aged 1 year or more in four sites in Guinea (Donka National Hospital, Conakry; Macenta Prefectoral Hospital, Macenta; N'zérékoré Regional Hospital, N'zérékoré; and Forécariah Prefectoral Hospital, Forécariah) following discharge from any Ebola treatment centre in Guinea. Eligible patients had had laboratory-confirmed EVD and had then been declared clear of the virus in the blood. All consenting patients were included, with no exclusion criteria. Trained clinicians assessed patients at enrolment to the cohort, recording clinical symptoms and signs of depression. We did routine blood examinations and examined viral persistence in body fluids using RT-PCR. We did psychological evaluations using questionnaires developed for different age groups. Follow-up is planned to 2 years, and here we present findings at enrolment.


FINDINGS
Between March 23, 2015, and July 11, 2016, we recruited 802 patients, of whom 360 (45%) were male, 442 (55%) were female; 158 (20%) were younger than 18 years. The median age was 28·4 years (range 1·0-79·9, IQR 19·4-39·8). The median delay after discharge was 350 days (IQR 223-491). The most frequent symptoms were general symptoms (324 [40%] patients), musculoskeletal pain (303 [38%]), headache (278 [35%]), depression (124 [17%] of 713 responses), abdominal pain (178 [22%]), and ocular disorders (142 [18%]). More adults than children had at least one clinical symptom (505 [78%] vs 101 [64%], p<0·0003), ocular complications (124 [19%] vs 18 [11%], p=0·0200), or musculoskeletal symptoms (274 [43%] vs 29 [18%], p<0·0001). A positive RT-PCR in semen was found in ten (5%) of 188 men, at a maximum of 548 days after disease onset. 204 (26%) of 793 patients reported stigmatisation. Ocular complications were more frequent at enrolment than at discharge (142 [18%] vs 61 [8%] patients).


INTERPRETATION
Post-EVD symptoms can remain long after recovery and long-term viral persistence in semen is confirmed. The results justify calls for regular check-ups of survivors at least 18 months after recovery.


FUNDING
INSERM/Reacting, the French Ebola Task Force, and Institut de Recherche pour le Développement.
Cocaine-induced behavioral sensitization in the young rat

Rationale: Repeated psychostimulant treatment has been shown to sensitize the locomotor activity of young rats, but there is conflicting evidence suggesting that this sensitized response will persist across only a few drug abstinence days. Objective: The purpose of the present study was to determine whether: (a) young rats are capable of expressing a sensitized locomotor response after an extended drug abstinence period, and (b) the longevity of the sensitized response is critically affected by either the number of drug pretreatment days or environmental conditioning factors. Methods: Young rats were pretreated with saline or cocaine (15 mg/kg or 30 mg/kg, i.p.) for either five or ten consecutive days [i.e., on postnatal days (PD) 16–20 or PD 11–20]. After each daily injection, rats were placed in activity chambers, and locomotion was measured for 30 min. To assess environmental conditioning factors, some rats were injected with saline prior to being placed in the activity chambers and then injected with cocaine prior to being returned to the home cage. After one or seven abstinence days (i.e., on PD 22 or PD 28), rats received a challenge injection of saline or cocaine (15 mg/kg) in the activity chamber and locomotion was assessed. Results: Young rats exhibit cocaine-induced locomotor sensitization after either a short (1-day) or long (7-day) drug abstinence period. When a long abstinence period was used, locomotor sensitization was only apparent when cocaine pretreatment lasted for 10 days. Conditioning factors were also important for determining whether locomotor sensitization was expressed, because young rats pretreated with cocaine in the home cage did not show a sensitized locomotor response after seven abstinence days. Conclusions: Young rats are capable of showing cocaine-induced locomotor sensitization after an extended abstinence period. Both the number of drug pretreatment days and the environmental context in which cocaine was given (i.e., the activity chamber or home cage) influenced the longevity of cocaine-induced locomotor sensitization.
Patients' Self-Assessed Functional Status in Heart Failure by New York Heart Association Class: A Prognostic Predictor of Hospitalizations, Quality of Life and Death

BACKGROUND
Clinician-assigned New York Heart Association (NYHA) class is an established predictor of outcomes in heart failure. This study aims to test whether patients' self-assessment of functional status by NYHA class predicts hospital admissions, quality of life, and mortality.


METHODS AND RESULTS
This was an observational study within a randomized controlled trial. A total of 293 adult patients diagnosed with heart failure were recruited after an emergency admission at 3 acute hospitals in Norfolk, UK. Outcome measures included number of emergency admissions over 6 months, self-assessed quality of life measured with the Minnesota Living with Heart Failure questionnaire (MLHFQ) and EQ-5D at 6 months, and deaths up to 20 months' follow-up. Patients were grouped into 3 NYHA groups (I/II, III, and IV) based on patients' self-assigned NYHA class (SA-NYHA). A Poisson model indicated an increased readmission rate associated with higher SA-NYHA class (adjusted rate ratio 1.21; 95% CI 1.04-1.41; P=.02). Higher SA-NYHA class at baseline predicted worse quality of life at 6 months' follow-up (P=.002 for MLHFQ; P=.047 for EQ-5D), and was associated with higher mortality rate (adjusted hazard ratio 1.84; 95% CI 1.10-3.06; P=.02).


CONCLUSIONS
SA-NYHA class is predictive of hospitalization, quality of life, and mortality among patients with heart failure.
Gas and water vapor barrier properties of edible films from protein and cellulosic materials

Edible films were made from proteins (corn-zein and wheat gluten) and celluloses (methyl cellulose and hydroxypropyl cellulose), and tested fog permeability of gases. Oxygen and carbon dioxide permeabilities of edible films were generally lower than those of plastic films. However, water vapor permeabilities of edible films were higher than those of plastic films. The concentration of plasticizer significantly affected the permeability of gases. The gas permeabilities, O,, CO, and water vapor, of cellulose films increased as the concentration of plasticizer increased. Addition of lipid (Myvacet 7-OO’“) in the hydroxypropyl cellulose (HPC) film decreased the gas permeability Linear relationships were found between permeability of gases and film thickness in protein films.