Miracle-dz/UniFAR-FTUs huggingface dataset:
Extracorporeal shock wave therapy for chronic wounds: A systematic review and meta‐analysis of randomized controlled trials

A growing number of clinical studies demonstrate that extracorporeal shock wave therapy (ESWT) is a feasible noninvasive method for improving chronic wound healing. This systematic review and meta‐analysis aimed to assess the effectiveness of ESWT compared with that of the standard care treatment for the healing of chronic wounds, irrespective of etiology, in clinical practice. Randomized controlled trials that investigated the effect of ESWT on chronic wounds with different etiologies from 2000 to 2017 were included in this review. The methodological quality of each selected article was rated using the Jadad scale. A fixed or random effects model was used to calculate the pooled effect sizes according to the heterogeneity of the studies. The cumulative effect of ESWT on each outcome was illustrated using forest plots. Seven randomized controlled trials involving 301 subjects were included in this review. Meta‐analyses revealed that the use of ESWT as an adjunct to wound treatment could significantly accelerate the impaired healing process of chronic wounds. Compared with the control treatment, ESWT markedly increased the wound healing rate by 1.86‐fold (OR = 2.86, 95% CI: 1.63–5.03, p = 0.0003) and the percentage of the wound healing area by 30.46% (SMD = 30.46; 95% CI: 23.80–37.12; p < 0.00001). In addition, the wound healing time was reduced by 19 days (SMD = −19.11, 95% CI: −23.74–(–14.47), p < 0.00001) in chronic wound patients. No serious complications or adverse effects were observed secondary to the application of ESWT. The above data suggested that ESWT as an adjunct to wound treatment, could more significantly improve the healing process of chronic wounds than the standard care treatment alone. More high‐quality, well‐controlled randomized trials are needed to evaluate the efficacy of ESWT in clinical practice.
(Silico-)aluminophosphates : synthesis and application for heat storage and transformation

This work is focussed on the synthesis of microporous aluminophosphates and silicoaluminophosphates, which are potentially useful for heat exchanger applications. More specifically, SAPO-34 (CHA structure) and AlPO-18 (AEI structure) were prepared in the form of nanosized crystals (<200 nm), which can provide decreased diffusion pathways and increased outer surfaces. To obtain nanocrystals, clear colloidal synthesis mixtures were used, and hydrothermally treated at elevated temperatures using either conventional or microwave ovens. The effect of synthesis composition, time and temperature was studied, and it was found that a high supersaturation in the precursor, and a large degree of homogeneity in composition and temperature are of crucial importance. Additionally, very concentrated systems gave rise to a faster growth phase and increased crystal sizes. The use of microwave energy led to smaller crystals and increased monodispersity in both the AlPO and the SAPO system. AlPO-18 was tested for its suitability in heat exchanger applications. Therefore, layers of increasing thickness of up to ~600 μm were prepared by coating and drying. The aqueous coating suspensions consisted of the calcined AlPO-18 powders and polyvinyl alcohol as a binder component. Homogeneous and mechanically stable layers were obtained. The kinetics of water adsorption were studied by means of a specially designed measuring setup, which allowed for both canonical (number of particles constant) and isobaric measuring modes. The setup provided conditions close to applications in real heat exchangers. Films with thicknesses of up to ~150 μm allowed for fast mass and heat
Word Similarity From Dictionaries: Inferring Fuzzy Measures From Fuzzy Graphs

The computation of similarities between words is a basic element of information retrieval systems, when retrieval is not solely based on word matching. In this work we consider a measure between words based on dictionaries. This is achieved assuming that a dictionary is formalized as a fuzzy graph. We show that the approach permits to compute measures not only for pairs of words but for sets of them.
Predictors of transitions from single to multiple job holding: Results of a longitudinal study among employees aged 45‐64 in the Netherlands

Objectives To construct prediction models for transitions to combination multiple job holding (MJH) (multiple jobs as an employee) and hybrid MJH (being an employee and self‐employed), among employees aged 45‐64. Methods A total of 5187 employees in the Netherlands completed online questionnaires annually between 2010 and 2013. We applied logistic regression analyses with a backward elimination strategy to construct prediction models. Results Transitions to combination MJH and hybrid MJH were best predicted by a combination of factors including: demographics, health and mastery, work characteristics, work history, skills and knowledge, social factors, and financial factors. Not having a permanent contract and a poor household financial situation predicted both transitions. Some predictors only predicted combination MJH, e.g., working part‐time, or hybrid MJH, e.g., work‐home interference. Conclusions A wide variety of factors predict combination MJH and/or hybrid MJH. The prediction model approach allowed for the identification of predictors that have not been previously studied.
Melatonin enhances neural stem cell differentiation and engraftment by increasing mitochondrial function

Neural stem cells (NSCs) are regarded as a promising therapeutic approach to protecting and restoring damaged neurons in neurodegenerative diseases (NDs) such as Parkinson's disease and Alzheimer's disease (PD and AD, respectively). However, new research suggests that NSC differentiation is required to make this strategy effective. Several studies have demonstrated that melatonin increases mature neuronal markers, which reflects NSC differentiation into neurons. Nevertheless, the possible involvement of mitochondria in the effects of melatonin during NSC differentiation has not yet been fully established. We therefore tested the impact of melatonin on NSC proliferation and differentiation in an attempt to determine whether these actions depend on modulating mitochondrial activity. We measured proliferation and differentiation markers, mitochondrial structural and functional parameters as well as oxidative stress indicators and also evaluated cell transplant engraftment. This enabled us to show that melatonin (25 μM) induces NSC differentiation into oligodendrocytes and neurons. These effects depend on increased mitochondrial mass/DNA/complexes, mitochondrial respiration, and membrane potential as well as ATP synthesis in NSCs. It is also interesting to note that melatonin prevented oxidative stress caused by high levels of mitochondrial activity. Finally, we found that melatonin enriches NSC engraftment in the ND mouse model following transplantation. We concluded that a combined therapy involving transplantation of NSCs pretreated with pharmacological doses of melatonin could efficiently restore neuronal cell populations in PD and AD mouse models depending on mitochondrial activity promotion.
From conception to evaluation of mobile services for people with head injury: A participatory design perspective

ABSTRACT Adults with cognitive impairments lack the means to organise their daily life, plan their appointments, cope with fatigue, and manage their budget. They manifest interest in using new technologies to be part of society. Unfortunately, the applications offered on smart phones are often beyond their cognitive abilities. The goal of this study was to design a mobile cognitive assistant to enhance autonomy of people living with acquired traumatic brain injury. Participatory design methodologies guided this research by involving adults with cognitive impairments (CI) and their caregivers in the early stages of the design process. The population of the study is composed of four male adults who present cognitive impairments (three with head injury and one with stroke) and three caregivers. The first phase of this research was to design the Services Assistance Mobile and Intelligent (SAMI) application based on the needs expressed by the participants. During three focus groups, needs emerged concerning planning, health monitoring and money management and led to the implementation of assistive solutions on an Android mobile phone. During the second phase, the participants evaluated the mobile assistant SAMI at home for eight weeks. The results demonstrate that the participants were able to participate actively in the conception of SAMI and to use it successfully. People with CI showed a slight improvement in their life satisfaction. Due to the small number of participants, these promising results need to be confirmed by a larger-scale study.
The application of optical signal detection for characterizing transitions during laser beam welding

Optical signals generated in the interaction zone between an Nd:YAG laser beam and an aluminum alloy have been investigated, in order to gain an appreciation of their potential for use in adaptive control systems for laser processing. A system has been developed that enables such signals to be recorded and analyzed. The laser beam welding process has been monitored, from the first visible signs of surface damage through to full penetration of the work piece, by linearly increasing the laser power during a melt run performed with a constant traverse rate. Trials were carried out on samples of the aluminum alloys AA5083 and AA5005 with various surface preparations and with a variety of sensor configurations. The characteristics of the resultant welds were established by using optical and scanning electron microscopy on transverse weld sections. The signals measured were consistent with well-defined characteristic modes of interaction. The effects of surface penetration, surface reflectance and weld pool curvature on the signals produced are noted and discussed. A fundamental understanding of the potential for optical signals to be used for on-line characterization of laser-material interactions was achieved through analysis and validation of the data captured. The methods used are sufficiently generic to be applied to other materials and laser-based processes.Optical signals generated in the interaction zone between an Nd:YAG laser beam and an aluminum alloy have been investigated, in order to gain an appreciation of their potential for use in adaptive control systems for laser processing. A system has been developed that enables such signals to be recorded and analyzed. The laser beam welding process has been monitored, from the first visible signs of surface damage through to full penetration of the work piece, by linearly increasing the laser power during a melt run performed with a constant traverse rate. Trials were carried out on samples of the aluminum alloys AA5083 and AA5005 with various surface preparations and with a variety of sensor configurations. The characteristics of the resultant welds were established by using optical and scanning electron microscopy on transverse weld sections. The signals measured were consistent with well-defined characteristic modes of interaction. The effects of surface penetration, surface reflectance and weld pool cur.
Observations on obesity patterns in tetralogy of Fallot patients from childhood to adulthood

Abstract Obesity is increasingly prevalent, and abnormal body mass index is a risk factor for cardiovascular disease. There are limited data published regarding body mass index and CHD. We tested the hypothesis that body mass index and obesity prevalence are increasing in patients with tetralogy of Fallot over time by analysing time since surgery, age, height, weight, and body mass index among tetralogy of Fallot patients and demographic data from age-matched controls. NYHA class and left ventricular ejection fraction were analysed in adults. Body mass index was categorised into normal, overweight, and obese in this single-centre, retrospective chart review. Data were collected from 137 tetralogy of Fallot patients (71 men:66 women), of whom 40 had body mass index >25 kg/m2. Tetralogy of Fallot patients aged <6 years had lower body mass index (15.9 versus 17.1; p=0.042) until 16–20 years of age (27.4 versus 25.4; p=0.43). For adult tetralogy of Fallot patients, the mean body mass index was 26.5 but not statistically significantly different from the control cohort. Obese adult patients had significantly higher average NYHA class compared with those of normal weight (p=0.03), but no differences in left ventricular ejection fraction by echocardiography (p=0.55) or cardiac MRI (p=0.26) were noted. Lower body mass index was observed initially in tetralogy of Fallot patients, but by late adolescence no significant difference was observed. As adults, tetralogy of Fallot patients with higher body mass index had increased NYHA class but similar left ventricular ejection fraction.
Differential Effects of Anesthetics and Opioid Receptor Activation on Cardioprotection Elicited by Reactive Oxygen Species–Mediated Postconditioning in Sprague-Dawley Rat Hearts

BACKGROUND: Despite an array of cardioprotective interventions identified in preclinical models of ischemia–reperfusion (IR) injury, successful clinical translation has not been achieved. This study investigated whether drugs routinely used in clinical anesthesia influence cardioprotective effectiveness by reducing effects of reactive oxygen species (ROS), upstream triggers of cardioprotective signaling. Effects of propofol, sevoflurane, or remifentanil were compared on postischemic functional recovery induced by ROS-mediated postconditioning with Intralipid. METHODS: Recovery of left ventricular (LV) work, an index of IR injury, was measured in isolated Sprague-Dawley rat hearts subjected to global ischemia (20 minutes) and reperfusion (30 minutes). Hearts were either untreated or were treated with postconditioning with Intralipid (1%, throughout reperfusion). Propofol (10 &mgr;M), sevoflurane (2 vol%), remifentanil (3 nM), or combinations thereof were administered peri-ischemically (before and during IR). The effects of anesthetics on ROS production were measured in LV cardiac fibers by Amplex Red assay under phosphorylating and nonphosphorylating conditions. RESULTS: Recovery of LV work (expressed as percentage of the preischemic value ± standard deviation) in untreated hearts was poor (20% ± 7%) and was improved by Intralipid postconditioning (58% ± 8%, P = .001). In the absence of Intralipid postconditioning, recovery of LV work was enhanced by propofol (28% ± 9%, P = .049), sevoflurane (49% ± 5%, P < .001), and remifentanil (51% ± 6%, P < .001). The benefit of Intralipid postconditioning was abolished by propofol (33% ± 10%, P < .001), but enhanced by sevoflurane (80% ± 7%, P < .001) or remifentanil (80% ± 9%, P < .001). ROS signaling in LV fibers was abolished by propofol, but unaffected by sevoflurane or remifentanil. We conclude that propofol abolishes ROS-mediated Intralipid postconditioning by acting as a ROS scavenger. Sevoflurane and remifentanil are protective per se and provide additive cardioprotection to ROS-mediated cardioprotection. CONCLUSIONS: These divergent effects of routinely used drugs in clinical anesthesia may influence the translatability of cardioprotective therapies such as Intralipid postconditioning.
Stakeholders’ Perspectives on Postmastectomy Breast Reconstruction: Recognizing Ways to Improve Shared Decision Making

Background: Postmastectomy breast reconstruction (PMBR) is an elective, preference-sensitive decision made during a stressful, time-pressured period after a cancer diagnosis. Shared decision making (SDM) can improve decision quality about preference-sensitive choices. Stakeholders’ perspectives on ways to support PMBR decision-making were explored. Methods: Forty semi-structured interviews with stakeholders (20 postmastectomy patients, 10 PMBR surgeons, 10 PMBR nurses) were conducted. Clinicians were recruited from diverse practices across the United States. Patients were recruited using purposive sampling with varying PMBR experiences, including no reconstruction. The interview guide was based on an implementation research framework. Themes were identified using grounded theory approach, based on frequency and emotive force conveyed. Results: Engagement in SDM was variable. Some patients wanted more information about PMBR from clinicians, particularly about risks. Some clinicians acknowledged highlighting benefits and downplaying risks. Many patients felt pressured to make a choice by their clinicians. Clinicians who successfully engaged patients through decisions often used outside resources to supplement conversations. Conclusions: Patient–clinician trust was critical to high-quality decisions, and many patients expressed decision regret when they were not engaged in PMBR discussions. Patients often perceived a race- or age-related bias in clinician information sharing. Interventions to support SDM may enhance decision quality and reduce decision regret about PMBR, ultimately improving patient-centered care for women with breast cancer.
Support Vector Machines with Manifold Learning and Probabilistic Space Projection for Tourist Expenditure Analysis

The significant economic contributions of the tourism industry in recent years impose an unprecedented force for data mining and machine learning methods to analyze tourism data. The intrinsic problems of raw data in tourism are largely related to the complexity, noise and nonlinearity in the data that may introduce many challenges for the existing data mining techniques such as rough sets and neural networks. In this paper, a novel method using SVM-based classification with two nonlinear feature projection techniques is proposed for tourism data analysis. The first feature projection method is based on ISOMAP (Isometric Feature Mapping), which is a class of manifold learning approaches for dimension reduction. By making use of ISOMAP, part of the noisy data can be identified and the classification accuracy of SVMs can be improved by appropriately discarding the noisy training data. The second feature projection method is a probabilistic space mapping technique for scale transformation. Experimental resul.
Temporal dynamics of pain: an application of regime-switching models to ecological momentary assessments in patients with rheumatic diseases

Abstract Advances in pain measurement using ecological momentary assessments offer novel opportunities for understanding the temporal dynamics of pain. This study examined whether regime-switching models, which capture processes characterized by recurrent shifts between different states, provide clinically relevant information for characterizing individuals based on their temporal pain patterns. Patients with rheumatic diseases (N = 116) provided 7 to 8 momentary pain ratings per day for 2 weekly periods, separated by 3 months. Regime-switching models extracted measures of Average pain (mean level over time), Amplitude (magnitude of shifts in pain levels), Persistence (average duration of pain states), and Dominance (relative duration of higher vs lower pain states) for each patient and assessment period. After controlling for Average pain, the Persistence of pain states uniquely predicted emotional functioning measures, whereas the Dominance of higher pain uniquely predicted physical functioning and pain interference. Longitudinal analyses of changes over the 3 months largely replicated cross-sectional results. Furthermore, patients' retrospective judgments of their pain were uniquely predicted by Amplitude and Dominance of higher pain states, and global impressions of change over the 3 months were predicted by changes on Dominance, controlling for Average pain levels. The results suggest that regime-switching models can usefully capture temporal dynamics of pain and can contribute to an improved measurement of patients' pain intensity.
Indications, results, and clinical impact of endoscopic ultrasound (EUS)-guided sampling in gastroenterology: European Society of Gastrointestinal Endoscopy (ESGE) Clinical Guideline – Updated January 2017

MAIN RECOMMENDATIONS For pancreatic solid lesions, ESGE recommends performing endoscopic ultrasound (EUS)-guided sampling as first-line procedure when a pathological diagnosis is required. Alternatively, percutaneous sampling may be considered in metastatic disease. Strong recommendation, moderate quality evidence. In the case of negative or inconclusive results and a high degree of suspicion of malignant disease, ESGE suggests re-evaluating the pathology slides, repeating EUS-guided sampling, or surgery. Weak recommendation, low quality evidence. In patients with chronic pancreatitis associated with a pancreatic mass, EUS-guided sampling results that do not confirm cancer should be interpreted with caution. Strong recommendation, low quality evidence. For pancreatic cystic lesions (PCLs), ESGE recommends EUS-guided sampling for biochemical analyses plus cytopathological examination if a precise diagnosis may change patient management, except for lesions ≤ 10 mm in diameter with no high risk stigmata. If the volume of PCL aspirate is small, it is recommended that carcinoembryonic antigen (CEA) level determination be done as the first analysis. Strong recommendation, low quality evidence. For esophageal cancer, ESGE suggests performing EUS-guided sampling for the assessment of regional lymph nodes (LNs) in T1 (and, depending on local treatment policy, T2) adenocarcinoma and of lesions suspicious for metastasis such as distant LNs, left liver lobe lesions, and suspected peritoneal carcinomatosis. Weak recommendation, low quality evidence. For lymphadenopathy of unknown origin, ESGE recommends performing EUS-guided (or alternatively endobronchial ultrasound [EBUS]-guided) sampling if the pathological result is likely to affect patient management and no superficial lymphadenopathy is easily accessible. Strong recommendation, moderate quality evidence. In the case of solid liver masses suspicious for metastasis, ESGE suggests performing EUS-guided sampling if the pathological result is likely to affect patient management, and (i) the lesion is poorly accessible/not detected at percutaneous imaging, or (ii) a sample obtained via the percutaneous route repeatedly yielded an inconclusive result. Weak recommendation, low quality evidence.
Seasonal Influenza Vaccine Effectiveness in Preventing Laboratory-Confirmed Influenza in Primary Care in Israel, 2016–2017 Season: Insights Into Novel Age-Specific Analysis

Background The 2016-2017 influenza season in Israel was dominated by the circulation of influenza A(H3N2). Influenza vaccine is recommended for the entire population in Israel aged >6 months. The inactivated influenza vaccine was chosen for use this season. Methods We estimated the 2016-2017 end-of-season influenza vaccine effectiveness (VE) in preventing influenza-like illness due to influenza A(H3N2), using the test-negative design. Age-specific VE was estimated using a moving age window and weekly analysis. Results During the 2016-2017 season, 1267 samples were collected; 467 (36.9%) were positive for influenza, with 97.9% A(H3N2), 0.2% A(H1N1)pdm09, and 1.9% B. A total of 1088 individuals were found eligible to be included in VE assessment. All vaccinated individuals included in the VE assessment received the inactivated influenza vaccine. Adjusted VE against influenza A(H3N2) was 29.0% (95% confidence interval [CI], 0.3%-49.5%). Age group-specific adjusted VE was 69.2% (95% CI, 19.4%-88.3%) for children aged 5-17 years and 58.8% (95% CI, .8%-82.9%) for adults aged 45-64 years. Other age groups demonstrated lower VE estimates that were not statistically significant. Adjusted VE estimates using a moving window of 15 years and weekly VE analyses provided a more defined understanding of age-specific VE during the 2016-2017 season. Conclusions Estimating VE using a moving age window as well as weekly VE analysis may provide more detailed information regarding the relationship between VE and age.