Miracle-dz/UniFAR-FTUs huggingface dataset:
Expert Search Strategies: The Information Retrieval Practices of Healthcare Information Professionals

Background Healthcare information professionals play a key role in closing the knowledge gap between medical research and clinical practice. Their work involves meticulous searching of literature databases using complex search strategies that can consist of hundreds of keywords, operators, and ontology terms. This process is prone to error and can lead to inefficiency and bias if performed incorrectly. Objective The aim of this study was to investigate the search behavior of healthcare information professionals, uncovering their needs, goals, and requirements for information retrieval systems. Methods A survey was distributed to healthcare information professionals via professional association email discussion lists. It investigated the search tasks they undertake, their techniques for search strategy formulation, their approaches to evaluating search results, and their preferred functionality for searching library-style databases. The popular literature search system PubMed was then evaluated to determine the extent to which their needs were met. Results The 107 respondents indicated that their information retrieval process relied on the use of complex, repeatable, and transparent search strategies. On average it took 60 minutes to formulate a search strategy, with a search task taking 4 hours and consisting of 15 strategy lines. Respondents reviewed a median of 175 results per search task, far more than they would ideally like (100). The most desired features of a search system were merging search queries and combining search results. Conclusions Healthcare information professionals routinely address some of the most challenging information retrieval problems of any profession. However, their needs are not fully supported by current literature search systems and there is demand for improved functionality, in particular regarding the development and management of search strategies.
Physical Health Problems as a Late-Life Suicide Precipitant: Examination of Coroner/Medical Examiner and Law Enforcement Reports

BACKGROUND AND OBJECTIVES In light of high late-life suicide rates, we compared older suicide decedents with and without physical health problems as a suicide precipitant with respect to their clinical characteristics and suicide means. We also examined health-related concerns noted in summary coroner/medical examiner or law enforcement (CME/LE) reports. RESEARCH DESIGN AND METHODS The National Violent Death Reporting System, 2005-2014, provided data (N = 16,924 aged 65 or older). Quantitative data were analyzed using logistic regression models with physical health problems as a suicide precipitant as the dependent variable and depressive symptoms, other precipitating/risk factors, and suicide means as the independent variables. CME/LE reports were analyzed using content analysis and descriptive statistics. RESULTS Physical health problems were recorded as a suicide precipitant for 50% of the older decedents. Compared to those without, those with physical health problems as a precipitant were older and more likely to have had depressed mood (adjusted odds ratios [AOR] = 2.39, 95% confidence interval [CI] = 2.21-2.59 for men and AOR = 1.79, 95% CI = 1.50-2.14 for women), disclosed suicide intent, left a suicide note, and used a firearm as suicide means. In CME/LE reports, pain and cancer were mentioned most frequently (29% and 28%, respectively). Dementia-related functional decline, fear of becoming a burden to loved ones, refusal of nursing homes, and loss of independence were also mentioned. DISCUSSION AND IMPLICATIONS Study findings call for more targeted, intensive suicide prevention strategies for older adults suffering from debilitating and painful health conditions. Training health care providers and informal support systems to assess suicide risk and in evidence-based intervention plans/guidelines is needed.
Computerized Cognitive Behavioral Therapy to Treat Emotional Distress After Stroke: A Feasibility Randomized Controlled Trial

Background Depression and anxiety are common complications following stroke. Symptoms could be treatable with psychological therapy, but there is little research on its efficacy. Objectives The aim of this study was to investigate (1) the acceptability and feasibility of computerized cognitive behavioral therapy (cCBT) to treat symptoms of depression and anxiety and (2) a trial design for comparing the efficacy of cCBT compared with an active comparator. Methods Of the total 134 people screened for symptoms of depression and anxiety following stroke, 28 were cluster randomized in blocks with an allocation ratio 2:1 to cCBT (n=19) or an active comparator of computerized cognitive remediation therapy (cCRT, n=9). Qualitative and quantitative feedback was sought on the acceptability and feasibility of both interventions, alongside measuring levels of depression, anxiety, and activities of daily living before, immediately after, and 3 months post treatment. Results Both cCBT and cCRT groups were rated as near equally useful (mean = 6.4 vs 6.5, d=0.05), while cCBT was somewhat less relevant (mean = 5.5 vs 6.5, d=0.45) but somewhat easier to use (mean = 7.0 vs 6.3, d=0.31). Participants tolerated randomization and dropout rates were comparable with similar trials, with only 3 participants discontinuing due to potential adverse effects; however, dropout was higher from the cCBT arm (7/19, 37% vs 1/9, 11% for cCRT). The trial design required small alterations and highlighted that future-related studies should control for participants receiving antidepressant medication, which significantly differed between groups (P=.05). Descriptive statistics of the proposed outcome measures and qualitative feedback about the cCBT intervention are reported. Conclusions A pragmatic approach is required to deliver computerized interventions to accommodate individual needs. We report a preliminary investigation to inform the development of a full randomized controlled trial for testing the efficacy of computerized interventions for people with long-term neurological conditions such as stroke and conclude that this is a potentially promising way of improving accessibility of psychological support.
The use of a combination of instrumental methods to assess change in sensory crispness during storage of a "Honeycrisp" apple breeding family.

Loss of crispness in apple fruit during storage reduces the fruit's fresh sensation and consumer acceptance. Apple varieties that maintain crispness thus have higher potential for longer-term consumer appeal. To efficiently phenotype crispness, several instrumental methods have been tested, but variable results were obtained when different apple varieties were assayed. To extend these studies, we assessed the extent to which instrumental measurements correlate to and predict sensory crispness, with a focus on crispness maintenance. We used an apple breeding family derived from a cross between "Honeycrisp" and "MN1764," which segregates for crispness maintenance. Three types of instrumental measurements (puncture, snapping, and mechanical-acoustic tests) and sensory evaluation were performed on fruit at harvest and after 8 weeks of cold storage. Overall, 20 genotypes from the family and the 2 parents were characterized by 19 force and acoustic measures. In general, crispness was more related to force than to acoustic measures. Force linear distance and maximum force as measured by the mechanical-acoustic test were best correlated with sensory crispness and change in crispness, respectively. The correlations varied by apple genotype. The best multiple linear regression model to predict change in sensory crispness between harvest and storage of fruit of this breeding family incorporated both force and acoustic measures. PRACTICAL APPLICATIONS This work compared the abilities of instrumental tests to predict sensory crispness maintenance of apple fruit. The use of an instrumental method that is highly correlated to sensory crispness evaluation can enhance the efficiency and reduce the cost of measuring crispness for breeding purposes. This study showed that sensory crispness and change in crispness after storage of an apple breeding family were reliably predicted with a combination of instrumental measurements and multiple variable analyses. The strategy potentially can be applied to other apple varieties for more accurate interpretation of crispness maintenance measured instrumentally.
Stereotype activation and self-regulation by conservatives and liberals in political encounters

ABSTRACT We examined stereotyping and its effect on self-regulation in preparation for inter-ideological interactions. Turkish conservative and liberal students anticipated interacting with a political outgroup (vs. ingroup) member and the accessibility of outgroup and ingroup stereotypes was measured. Conservatives in both outgroup and ingroup interaction conditions showed higher accessibility for outgroup stereotypes. Liberals, however, showed lower accessibility for both outgroup and ingroup stereotypes in both conditions. Liberals’ suppression of stereotypes about the anticipated partner led to worse self-regulation when the anticipated partner was conservative but better self-regulation when the partner was liberal. Conservatives’ stereotype accessibility did not affect their self-regulation. These findings show that liberals may tend to rely on self-regulatory resources to suppress their stereotypes while anticipating inter-ideological interactions, while conservatives rely on stereotypes to navigate such interactions.
Older Adults' Utilization of Community Resources Targeting Fall Prevention and Physical Activity.

BACKGROUND AND OBJECTIVES Despite the availability of community resources, fall and inactivity rates remain high among older adults. Thus, in this article, we describe older adults' self-reported awareness and use of community resources targeting fall prevention and physical activity. RESEARCH DESIGN AND METHODS In-depth, semistructured interviews were conducted in Phase 1 with community center leaders (n = 5) and adults (n = 16) ≥70 years old whose experience with community programs varied. In Phase 2, surveys were administered to intervention study participants (n = 102) who were ≥70 years old, did not have a diagnosis of dementia, and reported low levels of physical activity. RESULTS Four themes emerged from Phase 1 data: (a) identifying a broad range of local community resources; (b) learning from trusted sources; (c) the dynamic gap between awareness and use of community resources; and (d) using internal resources to avoid falls. Phase 2 data confirmed these themes; enabled the categorization of similar participant-identified resources (10); and showed that participants who received encouragement to increase community resource use, compared to those who did not, had significantly greater odds of using ≥1 resource immediately postintervention, but not 6 months' postintervention. DISCUSSION AND IMPLICATIONS Although participants in this study were aware of a broad range of local community resources for physical activity, they used resources that support walking most frequently. Additionally, receiving encouragement to use community resources had short-term effects only. Findings improve our understanding of resources that need bolstering or better dissemination and suggest researchers identify best promotion, dissemination, implementation strategies.
Pre-clinical evaluation of small molecule LOXL2 inhibitors in breast cancer

Lysyl Oxidase-like 2 (LOXL2), a member of the lysyl oxidase family of amine oxidases is known to be important in normal tissue development and homeostasis, as well as the onset and progression of solid tumors. Here we tested the anti-tumor properties of two generations of novel small molecule LOXL2 inhibitor in the MDA-MB-231 human model of breast cancer. We confirmed a functional role for LOXL2 activity in the progression of primary breast cancer. Inhibition of LOXL2 activity inhibited the growth of primary tumors and reduced primary tumor angiogenesis. Dual inhibition of LOXL2 and LOX showed a greater effect and also led to a lower overall metastatic burden in the lung and liver. Our data provides the first evidence to support a role for LOXL2 specific small molecule inhibitors as a potential therapy in breast cancer.
Hypofractionated Stereotactic Radiation Therapy in Recurrent High-Grade Glioma: A New Challenge

Purpose The aim of this study was to evaluate outcomes of hypofractionated stereotactic radiation therapy (HSRT) in patients re-treated for recurrent high-grade glioma. Materials and Methods From January 2006 to September 2013, 25 patients were treated. Six patients underwent radiation therapy alone, while 19 underwent combined treatment with surgery and/or chemotherapy. Only patients with Karnofsky Performance Status (KPS) > 70 and time from previous radiotherapy greater than 6 months were re-irradiated. The mean recurrent tumor volume was 35 cm3 (range, 2.46 to 116.7 cm3), and most of the patients (84%) were treated with a total dose of 25 Gy in five fractions (range, 20 to 50 Gy in 5-10 fractions). Results The median follow-up was 18 months (range, 4 to 36 months). The progression-free survival (PFS) at 1 and 2 years was 72% and 34% and the overall survival (OS) 76% and 50%, respectively. No severe toxicity was recorded. In univariate and multivariate analysis extent of resection at diagnosis significantly influenced PFS and OS (p < 0.01). Patients with smaller recurren tumor volume treated had better local control and survival. Indeed, the 2-year PFS was 40% (≤ 50 cm3) versus 11% (p=0.1) and the 2-year OS 56% versus 33% (> 50 cm3), respectively (p=0.26). Conclusion In our experience, HSRT could be a safe and feasible therapeutic option for recurrent high grade glioma even in patients with larger tumors. We believe that a multidisciplinary evaluation is mandatory to assure the best treatment for selected patients. Local treatment should also be considered as part of an integrated approach.
Antibiotics’ Prescribing and Pharmacovigilance Attitudes among Pediatricians and Pediatric Residents in Cyprus

Background: The inappropriate, irrational use or misuse of antibiotics is observed in all health systems and in all patients’ groups worldwide, especially for children, where antibiotics continue to be the drugs most commonly prescribed. Methods: A cross-sectional study was conducted in all public pediatric clinics in the Republic of Cyprus, from April to May 2015. A questionnaire was distributed to pediatricians in order to identify the antibiotic prescription practices in common childhood diseases and attitudes towards Pharmacovigilance. The SPSS 19.0 was used for the statistical analysis. In total 42 pediatricians and pediatric residents filled out the questionnaire. Results: A significant percentage of the respondents administered empirical therapy for possible group A streptococcus infection (59.5%), they implemented the “watchful waiting” tactic in acute otitis media (66.7%), whereas 11.9% of them administered antibiotics for the prevention of secondary respiratory tract infections. The majority of physicians did not feel diagnostic uncertainty leading to antibiotics prescribing (90.2%) and their prescribing habits were not influenced by parental demand (80.5%). Although 23.1% of physicians observed often/very often Adverse Drug Reactions (ADRs) after antibiotic administration during their clinical practice, however, 47.6% of the pediatricians declared that they did not report them. Conclusion: Health professionals’ continuing education on the use of therapeutic guidelines and protocols and the development of Pharmacovigilance programs could significantly contribute to the avoidance of the misuse of antibiotics in hospital care as well as to health professionals’ awareness on rational prescribing.
Validation of two risk-prediction models for recurrent falls in the first year after stroke: a prospective cohort study

Background several multivariable models have been derived to predict post-stroke falls. These require validation before integration into clinical practice. The aim of this study was to externally validate two prediction models for recurrent falls in the first year post-stroke using an Irish prospective cohort study. Methodology stroke patients with planned home-discharges from five hospitals were recruited. Falls were recorded with monthly diaries and interviews 6 and 12 months post-discharge. Predictors for falls included in two risk-prediction models were assessed at discharge. Participants were classified into risk groups using these models. Model 1, incorporating inpatient falls history and balance, had a 6-month outcome. Model 2, incorporating inpatient near-falls history and upper limb function, had a 12-month outcome. Measures of calibration, discrimination (area under the curve (AUC)) and clinical utility (sensitivity/specificity) were calculated. Results 128 participants (mean age = 68.6 years, SD = 13.3) were recruited. The fall status of 117 and 110 participants was available at 6 and 12 months, respectively. Seventeen and 28 participants experienced recurrent falls by these respective time points. Model 1 achieved an AUC = 0.56 (95% CI 0.46-0.67), sensitivity = 18.8% and specificity = 93.6%. Model 2 achieved AUC = 0.55 (95% CI 0.44-0.66), sensitivity = 51.9% and specificity = 58.7%. Model 1 showed no significant difference between predicted and observed events (risk ratio (RR) = 0.87, 95% CI 0.16-4.62). In contrast, model 2 significantly over-predicted fall events in the validation cohort (RR = 1.61, 95% CI 1.04-2.48). Conclusions both models showed poor discrimination for predicting recurrent falls. A further large prospective cohort study would be required to derive a clinically useful falls-risk prediction model for a similar population.
Apollonius Circles Based Outbound Handover in Macro-Small Wireless Cellular Networks

Mobility management and handover, in the presence of the macro-small wireless cellular networks, are of the critical challenging issues, owing to the large- scale small cells deploying and frequent mobility of user equipment (UE). Existing literatures include variously studied the inbound handover, namely the UE's movement from a macrocell to a small cell. The outbound handover (OHO), which refers to the UE's movement from a small cell to a macrocell, is also of importance. In this paper, instead of the concentric circles based handover regions, we propose a novel model for the OHO regions by utilizing the principle of the circle of Apollonius. Based on the mathematical analysis for the boundaries of OHO regions, we derive the closed-form expression to characterize the relationship between the OHO hysteresis margin and UE's mobility in terms of the velocity and the moving direction. Then, we develop the UE's movement based regulatory algorithm to adaptively adjust hysteresis for achieving the proper OHO. Simulation results show the effectiveness of the proposed OHO model. The proposed hysteresis adjusting algorithm outperforms the existing schemes in terms of the decrease for radio link failure and pingpong effect during OHO process.
Audiological Rehabilitation for Facilitating Hearing Aid Use: A Review

Abstract Purpose: This article reviews and critically analyzes the design of studies on the effect of audiological rehabilitation (AR) programs on hearing aid (HA) outcomes, in order to guide future research. Research Design: The design of this study was a narrative review. Studies were included in the review if they were randomized controlled trials that investigated the effects of AR on HA use and outcome between 2000 and 2016. Results: Seven articles that met the inclusion criteria were included in the review. Most used educational rather than counseling approaches. Although educational AR programs seem to be useful in enhancing the use of communication strategies, there is limited evidence for their effect on HA use and self-perceived hearing handicap. Conclusions: More research is needed in this field. Future studies should (1) investigate the efficacy of AR interventions based on counseling and empathetic listening as opposed to or in addition to educational interventions, (2) use stricter criteria to include only a subpopulation of patients who do not get on well with their HAs, (3) measure the amount of HA use via data-logging and self-report questionnaires, and (4) use a matching comparison intervention for patients in the control group.
De-identification of patient notes with recurrent neural networks

Objective Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority of medical investigators can only access de-identified notes, in order to protect the confidentiality of patients. In the United States, the Health Insurance Portability and Accountability Act (HIPAA) defines 18 types of protected health information that needs to be removed to de-identify patient notes. Manual de-identification is impractical given the size of electronic health record databases, the limited number of researchers with access to non-de-identified notes, and the frequent mistakes of human annotators. A reliable automated de-identification system would consequently be of high value. Materials and Methods We introduce the first de-identification system based on artificial neural networks (ANNs), which requires no handcrafted features or rules, unlike existing systems. We compare the performance of the system with state-of-the-art systems on two datasets: the i2b2 2014 de-identification challenge dataset, which is the largest publicly available de-identification dataset, and the MIMIC de-identification dataset, which we assembled and is twice as large as the i2b2 2014 dataset. Results Our ANN model outperforms the state-of-the-art systems. It yields an F1-score of 97.85 on the i2b2 2014 dataset, with a recall of 97.38 and a precision of 98.32, and an F1-score of 99.23 on the MIMIC de-identification dataset, with a recall of 99.25 and a precision of 99.21. Conclusion Our findings support the use of ANNs for de-identification of patient notes, as they show better performance than previously published systems while requiring no manual feature engineering.
Sickness absence among peer-supported drivers after occupational trauma.

Background Psychological first aid is a common approach for providing support after potentially traumatic events (PTEs). In Germany, a peer support model is recommended by the German Statutory Accident Insurance (DGUV) to reduce sickness absence after occupational accidents, especially in public transportation. However, data on the effectiveness of peer support are very sparse. Aims To analyse whether peer support has an impact on sickness absence after work-related traumatic events in public transportation. Methods An analysis was conducted in two German public transportation corporations. Due to ethical requirements, we used a historical cohort study comparing peer support by colleagues (VAG-1), peer support at supervisor level (VGF) and a non-intervention group (VAG-0). The study period was from March 2003 to December 2012. We used a negative binominal regression model to estimate the relative risk associated with the interventions and potential confounders. Results A total of 259 incident PTEs in employees were observed. A regression analysis identified the severity of PTE (severe and fatal events), VGF and age as significant factors in predicting duration of post-event sickness absence. In a stratified analysis, the mode of peer support (VGF) and age predicted sickness absence for less severe PTEs but this was not significant for severe PTEs. Conclusions Severe and fatal PTEs had the strongest impact on sickness absence after PTEs. For less severe PTE, peer support provided by colleagues may be superior to supervisor support.