Miracle-dz/UniFAR-FTUs huggingface dataset:
An empirical, pragmatic approach applying reflection in interaction approach to manual therapy treatments

ABSTRACT Background: Most literature on decision processes within physiotherapy relates to “reasoning that results in action” – decisions based on information including assessments that are gathered prior to treatment decisions. A process of “reasoning in interaction” that is often used, particularly by expert clinicians, has received less attention. Objective: To provide a theoretical and practical approach to applying reasoning in interaction in a musculoskeletal setting. Methods: The theory is: If an impairment that can be directly targeted by treatment (i.e. pain or limitation of passive movement) is related to patient’s active impairments and functional limitations, then moment-to-moment changes in the targeted impairment can be used as feedback to guide real-time treatment modification before formal reassessment of functional limitations and other impairments. Results: Applying the theory to manual therapy results in parameters of techniques such as force, speed, direction and duration no longer being pre-determined, but rather being continually adjusted in real-time according to feedback from the patient through both therapist perception (changes in movement quantity or quality) and patient verbal responses. Conclusion: A process of continuous decision-making is described that the authors believe is used by many experienced clinicians but has not previously been adequately described in the literature.
Compliance to dietary guidelines on fruit and vegetable intake and prevalence of hypertension among Vietnamese adults, 2015

Aims The aim of this study was to investigate whether the Western dietary guidelines on fruit and vegetable intake are associated with blood pressure parameters and hypertension among Vietnamese adults. Methods Participants included 1384 women and 1049 men aged 18–69 years from the 2015 Vietnam national survey on risk factors of non-communicable diseases. Associations between dietary intake score based on the Dietary Approaches to Stop Hypertension (DASH) guidelines and World Health Organization recommendations on fruit and vegetable consumption and blood pressure parameters and hypertension were evaluated by multivariate regression analyses. Results Approximately 17.0% and 40.1% of participants met the respective definitions of hypertension according to Joint National Committee 7 (JNC7) and 2017 American College of Cardiology/American Heart Association (ACC/AHA) Hypertension Guideline. Highest tertiles of DASH scores for fruit intake were significantly associated with increased blood pressure parameters, particularly in women. Hypertension was associated with DASH score for fruit intake with odds ratios and 95% confidence intervals for tertiles 2–3 versus tertile 1: 1.31 (0.98, 1.76) and 1.43 (1.05, 1.93) for JNC7; 1.26 (1.01, 1.58) and 1.31 (1.04, 1.66) for 2017 ACC/AHA guideline (all p-trend <0.05). No association with blood pressure parameters and hypertension was observed for DASH score for vegetable intake and meeting World Health Organization recommendations for fruit and vegetable intake. Conclusion We found an unexpected positive association between DASH score for fruit intake and blood pressure parameters and hypertension among Vietnamese adults. More research is needed in this population to understand the relationship between vegetable and fruit intake with hypertension before a firm conclusion and recommendation are made.
ERF-VII transcription factors induce ethanol fermentation in response to amino acid biosynthesis-inhibiting herbicides

Abstract Herbicides inhibiting either aromatic or branched-chain amino acid biosynthesis trigger similar physiological responses in plants, despite their different mechanism of action. Both types of herbicides are known to activate ethanol fermentation by inducing the expression of fermentative genes; however, the mechanism of such transcriptional regulation has not been investigated so far. In plants exposed to low-oxygen conditions, ethanol fermentation is transcriptionally controlled by the ethylene response factors-VII (ERF-VIIs), whose stability is controlled in an oxygen-dependent manner by the Cys-Arg branch of the N-degron pathway. In this study, we investigated the role of ERF-VIIs in the regulation of the ethanol fermentation pathway in herbicide-treated Arabidopsis plants grown under aerobic conditions. Our results demonstrate that these transcriptional regulators are stabilized in response to herbicide treatment and are required for ethanol fermentation in these conditions. We also observed that mutants with reduced fermentative potential exhibit higher sensitivity to herbicide treatments, thus revealing the existence of a mechanism that mimics oxygen deprivation to activate metabolic pathways that enhance herbicide tolerance. We speculate that this signaling pathway may represent a potential target in agriculture to affect tolerance to herbicides that inhibit amino acid biosynthesis.
Pulmonary Hypertension in COPD: A Case Study and Review of the Literature

Pulmonary hypertension (PH) is a frequently encountered complication of chronic obstructive pulmonary disease (COPD) and is associated with worsened clinical symptoms and prognosis. The prevalence of PH-COPD is not concretely established as classification criteria vary historically, but the presence of severe disease out of proportion to underlying COPD is relatively rare. Right heart catheterization, the gold standard in diagnosis of PH, is infrequently performed in COPD, and the overlap in the clinical symptoms of PH and COPD presents diagnostic challenges. Proven treatments are limited. Trials exploring the use of vasodilator therapy in this patient group generally demonstrate improvements in hemodynamics accompanied by worsening gas exchange without clearly demonstrated improvements in clinically meaningful outcomes. In-depth workup of underlying pulmonary hypertension and use of pulmonary vasodilator medications may be appropriate on an individual basis. We present a case study and a review and discussion of the pertinent literature on this topic.
Lipid and Lipid Raft Alteration in Aging and Neurodegenerative Diseases: A Window for the Development of New Biomarkers

Lipids in the brain are major components playing structural functions as well as physiological roles in nerve cells, such as neural communication, neurogenesis, synaptic transmission, signal transduction, membrane compartmentalization, and regulation of gene expression. Determination of brain lipid composition may provide not only essential information about normal brain functioning, but also about changes with aging and diseases. Indeed, deregulations of specific lipid classes and lipid homeostasis have been demonstrated in neurodegenerative disorders such as Alzheimer’s disease (AD) and Parkinson’s disease (PD). Furthermore, recent studies have shown that membrane microdomains, named lipid rafts, may change their composition in correlation with neuronal impairment. Lipid rafts are key factors for signaling processes for cellular responses. Lipid alteration in these signaling platforms may correlate with abnormal protein distribution and aggregation, toxic cell signaling, and other neuropathological events related with these diseases. This review highlights the manner lipid changes in lipid rafts may participate in the modulation of neuropathological events related to AD and PD. Understanding and characterizing these changes may contribute to the development of novel and specific diagnostic and prognostic biomarkers in routinely clinical practice.
Evolution of the burden of active hepatitis C virus infection in England from September 2015 to September 2016: a repeated cross-sectional analysis

Objective To evaluate the impact of treatment with new direct-acting antivirals (DAAs) on the prevalent hepatitis C virus (HCV) population in England. Design A repeated cross-sectional analysis. Setting Four secondary care hospitals in England. Participants Patients who, in 2015 and/or 2016, had chronic HCV infection and were alive were eligible, regardless of the type of HCV intervention received. Outcome measures Data including intravenous drug use (IVDU) status, HCV genotype, cirrhosis status, HCV treatment history, vital status and treatment outcomes were collected at two time points in 2015 and 2016 using electronic case report forms. Results There were 1605 and 1355 patients with active chronic HCV in 2015 and 2016, respectively. Between 2015 and 2016, the proportion of patients with current IVDU increased (10.3% vs 14.5%, respectively), while that of patients with cirrhosis (28.2% vs 22.4%) and treatment-experienced patients (31.2% vs 27.1%) decreased. Among patients whose treatment outcome was known by 2016, high cure rates were observed, with an overall sustained virological response rate of 93.2%. From 2015 to 2016, there was a progressive increase in the proportion of treated patients who were non-cirrhotic, with current IVDU and non-liver transplant recipients. Conclusions The characteristics of patients with HCV remaining in contact with specialised care evolved with a changing landscape of treatment and related health policy. With increasing access to DAAs in UK, high cure rates were achieved in the study cohort.
Outpatient Readmission in Rheumatology: A Machine Learning Predictive Model of Patient’s Return to the Clinic

Our objective is to develop and validate a predictive model based on the random forest algorithm to estimate the readmission risk to an outpatient rheumatology clinic after discharge. We included patients from the Hospital Clínico San Carlos rheumatology outpatient clinic, from 1 April 2007 to 30 November 2016, and followed-up until 30 November 2017. Only readmissions between 2 and 12 months after the discharge were analyzed. Discharge episodes were chronologically split into training, validation, and test datasets. Clinical and demographic variables (diagnoses, treatments, quality of life (QoL), and comorbidities) were used as predictors. Models were developed in the training dataset, using a grid search approach, and performance was compared using the area under the receiver operating characteristic curve (AUC-ROC). A total of 18,662 discharge episodes were analyzed, out of which 2528 (13.5%) were followed by outpatient readmissions. Overall, 38,059 models were developed. AUC-ROC, sensitivity, and specificity of the reduced final model were 0.653, 0.385, and 0.794, respectively. The most important variables were related to follow-up duration, being prescribed with disease-modifying anti-rheumatic drugs and corticosteroids, being diagnosed with chronic polyarthritis, occupation, and QoL. We have developed a predictive model for outpatient readmission in a rheumatology setting. Identification of patients with higher risk can optimize the allocation of healthcare resources.
The Associations of Fruit and Vegetable Intake with Lung Cancer Risk in Participants with Different Smoking Status: A Meta-Analysis of Prospective Cohort Studies

The results of epidemiological studies on the relationship between fruit and vegetable intake and lung cancer risk were inconsistent among participants with different smoking status. The purpose of this study was to investigate these relationships in participants with different smoking status with prospective cohort studies. A systematic literature retrieval was conducted using PubMed and Scopus databases up to June 2019. The summary relative risks (RRs) and the corresponding 95% confidence intervals (CIs) were calculated by random-effects model. The nonlinear dose-response analysis was carried out with restricted cubic spline regression model. Publication bias was estimated using Begg’s test. Nine independent prospective studies were included for data synthesis. Dietary consumption of fruit was negatively correlated with lung cancer risk among current smokers and former smokers, and the summery RRs were 0.86 (95% CI: 0.78, 0.94) and 0.91 (95% CI: 0.84, 0.99), respectively. Consumption of vegetable was significantly associated with reduced risk of lung cancer for current smokers (summary RR = 87%; 95% CI: 0.78, 0.94), but not for former smokers and never for smokers. Dose-response analysis suggested that risk of lung cancer was reduced by 5% (95% CI: 0.93, 0.97) in current smokers, and reduced by 4% (95% CI: 0.93, 0.98) in former smokers with an increase of 100 grams of fruit intake per day, respectively. Besides, dose-response analysis indicated a 3% reduction in lung cancer risk in current smokers for 100 gram per day increase of vegetable intake (95% CI: 0.96, 1.00). The findings of this study provide strong evidence that higher fruit consumption is negatively associated with the risk of lung cancer among current smokers and former smokers, while vegetable intake is significantly correlated with reducing the risk of lung cancer in current smokers. These findings might have considerable public health significance for the prevention of lung cancer through dietary interventions.
Intelligent Rapid Adaptive Offloading Algorithm for Computational Services in Dynamic Internet of Things System

As restricted resources have seriously limited the computational performance of massive Internet of things (IoT) devices, better processing capability is urgently required. As an innovative technology, multi-access edge computing can provide cloudlet capabilities by offloading computation-intensive services from devices to a nearby edge server. This paper proposes an intelligent rapid adaptive offloading (IRAO) algorithm for a dynamic IoT system to increase overall computational performance and simultaneously keep the fairness of multiple participants, which can achieve agile centralized control and solve the joint optimization problems related to offloading policy and resource allocation. For reducing algorithm execution time, we apply machine learning methods and construct an adaptive learning-based framework consisting of offloading decision-making, radio resource slicing and algorithm parameters updating. In particular, the offloading policy can be rapidly derived from an estimation algorithm based on a deep neural network, which uses an experience replay training method to improve model accuracy and adopts an asynchronous sampling trick to enhance training convergence performance. Extensive simulations with different parameters are conducted to maintain the trade-off between accuracy and efficiency of the IRAO algorithm. Compared with other candidates, the results illustrate that the IRAO algorithm can achieve superior performance in terms of scalability, effectiveness and efficiency.
Retrospective video analysis of the early speech sound development of infants and toddlers later diagnosed with lateralisation errors

Abstract Purpose: Although lateralisation errors (LEs) are a common speech sound disorder, no studies have examined their early development. The purpose of this exploratory small-scale investigation was to compare the early (birth–24 months) speech sound development between children later diagnosed with LEs and typically developing children. Method: This was a between-group case-controlled design with six monolingual English-speaking participants. Participants were White, non-Hispanic girls with at least one college-educated parent. As children, three had been diagnosed with lateralisation speech sound errors and three demonstrated typical speech sound development. Participants’ parents provided home video-recordings of the participants as infants/toddlers between birth and age 2. These videos were then analysed for the amount, type and diversity of sounds, and canonical babbling onset. Result: There was no statistically significant between-group difference in the volubility (i.e. combined frequency of non-resonant and resonant utterances) or in the age at which [s] or [z] emerged. However, infants/toddlers who were later diagnosed with LEs showed reduced frequency/minute in production of resonant utterances and consonants (including [s, z]), used fewer different consonants/minute, and used fewer syllable shapes/minute compared to typically developing infants/toddlers. At 7–12 months, none of the infants/toddlers later diagnosed with LEs, but all participants in the comparison group had reached the canonical babbling stage. Conclusion: Children who have LEs may have had a less robust speech sound system as infants/toddlers than their typically developing peers. However, these findings must be considered with caution due to the significant limitations of this investigation.
Validity of the French Prospective and Retrospective Memory Questionnaire (PRMQ) in healthy controls and in patients with no cognitive impairment, mild cognitive impairment and Alzheimer disease

ABSTRACT Introduction: The Prospective and Retrospective Memory Questionnaire (PRMQ) is one of the most commonly used scales to assess both retrospective memory (RM) and prospective memory (PM) complaints. This study aimed to: 1/replicate the previous results concerning the PRMQ latent structure in a French version and 2/provide its psychometric properties in a normal and clinical population. Method: This observational study included 488 participants divided into five subgroups. A sample of 168 healthy participants (no memory consultation sought), served as controls. Patients were recruited in a memory clinic: 98 “functional” patients (subjective memory complaints but no memory impairment), 83 amnestic-Mild Cognitive Impairment (a-MCI), 82 non-amnestic-MCI (na-MCI) and 57 Alzheimer Disease (AD) patients. Structure, validity, consistency, reliabilitiy and reproducibility of the PRMQ were calculated. Novelty, Area Under the Receiver-Operating Characteristics (AUROC) curve, was used to determine the optimal cut-off, to distinguish “functional” patients from control participants. Results: The optimal fit model of the French PMRQ was not a tri but a bi-partite model, with a RM and a PM subscale. The convergent validity showed significant correlation with cognitive difficulties (r = .82 and .78, respectively), anxiety (r = .44 and .48, respectively) and depression (r = .23) scales. Cronbach’s alpha was good (α = .79 and .88), as well as the reproducibility (r = .71 and .80). The interaction [Subgroups of participants x PMRQ Subscales] was significant [F(4, 483) = 11.46; p < . 001]. The power discrimination was adequate (AUROC = .71 and .74) for detecting “functional” patients compared with controls, in particular for the PM subscale (sensitivity 66.6%, specificity 77.4%). Conclusions: The PMRQ, with minor changes, was validated in its French form with satisfactory psychometric qualities. This self-rating tool appears useful for identifying significant memory complaints in a normal population and may also be helpful in discriminating between functional/na-MCI and a-MCI/AD patients.
Pattern Classification using Simplified Neural Networks with Pruning Algorithm

Abstract: In recent years, many neural network models have been proposed for pattern classification, function approximation and regression problems. This paper presents an approach for classifying patterns from simplified NNs. Although the predictive accuracy of ANNs is often higher than that of other methods or human experts, it is often said that ANNs are practically “black boxes”, due to the complexity of the networks. In this paper, we have an attempted to open up these black boxes by reducing the complexity of the network. The factor makes this possible is the pruning algorithm. By eliminating redundant weights, redundant input and hidden units are identified and removed from the network. Using the pruning algorithm, we have been able to prune networks such that only a few input units, hidden units and connections left yield a simplified network. Experimental results on several benchmarks problems in neural networks show the effectiveness of the proposed approach with good generalization ability.
Efflux Pumps of Burkholderia thailandensis Control the Permeability Barrier of the Outer Membrane

Burkholderia comprises species that are significant biothreat agents and common contaminants of pharmaceutical production facilities. Their extreme antibiotic resistance affects all classes of antibiotics, including polycationic polymyxins and aminoglycosides. The major underlying mechanism is the presence of two permeability barriers, the outer membrane with modified lipid A moieties and active drug efflux pumps. ABSTRACT Burkholderia comprises species that are significant biothreat agents and common contaminants of pharmaceutical production facilities. Their extreme antibiotic resistance affects all classes of antibiotics, including polycationic polymyxins and aminoglycosides. The major underlying mechanism is the presence of two permeability barriers, the outer membrane with modified lipid A moieties and active drug efflux pumps. The two barriers are thought to be mechanistically independent and act synergistically to reduce the intracellular concentrations of antibiotics. In this study, we analyzed the interplay between active efflux pumps and the permeability barrier of the outer membrane in Burkholderia thailandensis. We found that three efflux pumps, AmrAB-OprA, BpeEF-OprC, and BpeAB-OprB, of B. thailandensis are expressed under standard laboratory conditions and provide protection against multiple antibiotics, including polycationic polymyxins. Our results further suggest that the inactivation of AmrAB-OprA or BpeAB-OprB potentiates the antibacterial activities of antibiotics not only by reducing their efflux, but also by increasing their uptake into cells. Mass spectrometry analyses showed that in efflux-deficient B. thailandensis cells, lipid A species modified with 4-amino-4-deoxy-l-aminoarabinose are significantly less abundant than in the parent strain. Taken together, our results suggest that changes in the outer membrane permeability due to alterations in lipid A structure could be contributing factors in antibiotic hypersusceptibilities of B. thailandensis cells lacking AmrAB-OprA and BpeAB-OprB efflux pumps.
Chemical and Biological Aspects of Garcinol and Isogarcinol: Recent Developments

The natural polyisoprenylated benzophenone derivatives garcinol and isogarcinol are secondary plant metabolites isolated from various Garcinia species including Garcinia indica. This review takes stock of the recent chemical and biological research into these interesting natural compounds over the last five years. New biological sources and chemical syntheses are discussed followed by new insights into the activity of garcinol and isogarcinol against cancer, pathogenic bacteria, parasite infections and various inflammatory diseases.