Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Ca2+ channels in NE-induced increase in [Ca2+]iand tension in fetal and adult cerebral arteries.

In vascular smooth muscle, elevation of agonist-induced intracellular Ca2+ concentration ([Ca2+]i) occurs via both Ca2+ release from intracellular stores and Ca2+influx across the plasma membrane. In the cerebral vasculature of the fetus and adult the relative roles of these mechanisms have not been defined. To test the hypothesis that plasma membrane L-type and receptor-operated Ca2+ channels play a key role in NE-induced vasoconstriction via alterations in plasma membrane Ca2+ flux and that this may change with developmental age, we performed the following study. In main branch middle cerebral arteries (MCA) from near-term fetal (∼140 days) and nonpregnant adult sheep, we quantified NE-induced responses of vascular tension and [Ca2+]i(by use of fura 2) under standard conditions in response to several Ca2+ channel blockers and in response to zero extracellular Ca2+. In fetal and adult MCA, maximal NE-induced tensions (g) were 0.91 ± 0.12 ( n = 10) and 1.61 ± 0.13 ( n = 12), respectively. The pD2 values for NE-induced tension were both 6.0 ± 0.1, whereas the fetal and adult maximum responses (%Kmax) were 107 ± 16 and 119 ± 7, respectively. The fetal and adult pD2 values for NE-induced increase of [Ca2+]iwere 6.2 ± 0.1 and 6.4 ± 0.1, respectively, whereas maximum [Ca2+]iresponses were 81 ± 9 and 103 ± 15% of Kmax, respectively. After 10-5 M NE-induced contraction, nifedipine resulted in dose-dependent decrease in vessel tone and [Ca2+]iwith pIC50 values for fetal and adult tensions of 7.3 ± 0.1 and 6.6 ± 0.1, respectively ( P < 0.01; n = 4 each), whereas pIC50 for [Ca2+]iresponses were 7.2 ± 0.1 and 6.9 ± 0.1, respectively. The pIC50 values for tension for diltiazem and verapamil were somewhat lower but showed a similar relationship. The receptor-operated Ca2+ channel blocker 2-nitro-4 carboxyphenyl- N,N-diphenyl carbamate showed little effect on NE-induced vessel contractility or [Ca2+]i. In the absence of extracellular Ca2+ for 2 min, 10-5 M NE resulted in markedly attenuated responses of adult MCA tension and [Ca2+]ito 39 ± 7 and 73 ± 8% of control values ( n = 4). For fetal MCA, exposure to extracellular Ca2+concentration resulted in essentially no contractile or [Ca2+]iresponse ( n = 4). Similar blunting of NE-induced tension and [Ca2+]iwas seen in response to 10-3M lanthanum ion. These findings provide evidence to suggest that especially in fetal, but also in adult, ovine MCA, Ca2+ flux via L-type calcium channels plays a key role in NE-induced contraction. In contrast, Ca2+ flux via receptor-operated Ca2+ channels is of less importance. This developmental difference in the role of cerebrovascular plasma membrane Ca2+ channels may be an important association with increased Ca2+sensitivity of the fetal vessels.
Nucleocapsid protein effects on the specificity of retrovirus RNA encapsidation

We have analyzed the roles of Gag protein nucleocapsid (NC) domains in the packaging or encapsidation of retroviral RNAs into virus particles. We found that mutation of both zinc finger motifs of the human immunodeficiency virus (HIV) NC domain reduced but did not eliminate encapsidation of the HIV viral RNA. However, the NC mutations also resulted in a three- to fourfold reduction in the specificity of RNA encapsidation, as determined by comparison of virus-associated genomic and spliced RNA levels. As a complementary approach, we replaced the NC domain of Moloney murine leukemia virus (M-MuLV) with that of HIV. Chimeric virus particles assembled efficiently, were of wild-type M-MuLV density, and cross-linked at NC cysteines. In encapsidation studies, wild-type M-MuLV precursor Gag (PrGag) proteins packaged M-MuLV transcripts more efficiently than HIV RNAs. In contrast, chimeric PrGag proteins possessing the HIV-1 NC domain in the context of the M-MuLV MA (matrix), p12, and CA (capsid) domains encapsidated HIV transcripts to a greater extent than M-MuLV transcripts. Our results support the notion that retroviral NC domains contribute toward both the efficiency and specificity of viral genomic RNA packaging.
Outcomes of commitment to change statements after an interprofessional faculty development program

Abstract Commitment to change (CTC) statements have been shown to have a useful role as an instrument of change. We explored the experiences of six health professionals at a large community teaching hospital in making and keeping CTC statements in the context of a foundational interprofessional education (IPE) faculty development program. As part of program evaluation, a qualitative study, applying a grounded theory approach, was conducted to gain a deeper understanding of using CTC statements in the context of a paradigmatic organizational change project. This paper explores the effectiveness of an IPE faculty development program at a community teaching hospital. Participants identified personal/professional and interpersonal/interprofessional changes related to CTC statements. The study highlighted a range of issues surrounding implementation of collaborative actions connected to participants’ ability to follow through on commitment to change statements made during the program.
Establishment of a transgenic yeast screening system for estrogenicity and identification of the anti‐estrogenic activity of malachite green

Endocrine disruptors refer to chemical compounds in the environment which interfere with the endocrine systems of organisms. Among them, environmental estrogens pose serious problems to aquatic organisms, in particular fish. It is therefore important and necessary to have a fast and low‐cost system to screen the large number of different chemical compounds in the aquatic environment for their potential endocrine disrupting actions. In this study, a screening platform was developed to detect xenoestrogens in the aquatic environment using the fission yeast Schizosaccharomyces pombe, and applied for compound screening. The aim was to demonstrate any significant potential differences between the fish screening system and the human screening system. To this end, a yeast expression vector harboring a fish estrogen receptor α and a reporter vector containing the estrogen responsive element fused with the Escherichia coli LacZ gene were constructed. After transformation with these two vectors, the transformed yeast clones were confirmed by Western blotting and selected on the basis of the β‐galactosidase activity. In this transgenic yeast system, the natural estrogen (estradiol) and other known xenoestrogens such as diethylstilbestrol, bisphenol A, genistein and dichloro‐diphenyl‐trichloroethane exhibited dose‐dependent activities. Using this system, more than 40 putative endocrine disruptors including phytoestrogens, pesticides, herbicides, industrial dyes and other industrial chemicals were screened. Ten of them were demonstrated to exhibit estrogenic actions. Industrial dyes such as malachite green (MG) that disrupt thyroid hormone synthesis are extensively used and are widely distributed in the aquatic environment. Using this system, MG did not show any estrogenic action, but was demonstrated to exhibit anti‐estrogenic activity. J. Cell. Biochem. 105: 1399–1409, 2008. © 2008 Wiley‐Liss, Inc.
Preliminary evaluation of podotactile feedback in sighted and blind users

This paper presents preliminary work towards the evaluation of an on-shoe tactile display that enables users to obtain information through the sense of touch of their feet. A series of experiments were designed to determine the performances of 20 healthy sighted and 5 blind voluntary subjects. Tests evaluated the perception of simple shapes, patterns, and directional instructions. Results show that some information is discriminable and that tactile-foot stimulation could be used for a wide number of applications in human-machine interaction. In particular, results suggest that the blind perform better in some key tasks and that it is feasible to exploit podotactile feedback for mobility and navigation assistance of the blind.
Unattended sleep studies in pediatric OSA: A systematic review and meta‐analysis

The objective of this study was to systematically assess the evidence for the diagnostic accuracy of unattended type 2 or type 3 multichannel studies for predicting and monitoring pediatric obstructive sleep apnea (OSA). Four medical databases were searched for eligible studies. Only studies that evaluated the ability of unattended multichannel devices to accurately diagnose or monitor OSA in children were included. Those with appropriate data were selected for meta‐analysis. Study quality was assessed by using the Quality Assessment Tool for Diagnostic Accuracy Studies tool. Summary estimates of diagnostic accuracy were determined by using sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, summary receiver operating characteristics, and the area under the curve (AUC). Ten diagnostic studies with 724 patients were included in the systematic review, which was followed by a meta‐analysis using studies that provided sufficient information for the calculation of diagnostic parameters. The overall analysis revealed a moderate sensitivity of 76% (95% confidence interval [CI]: 64%‐85%), a moderate specificity of 76% (95% CI: 60%–88%), and a pooled diagnostic odds ratio of 15.18 (95% CI: 3.52–65.43). The AUC (0.88) indicated that unattended multichannel devices showed good diagnostic performance for predicting pediatric OSA. Using a cutoff of AHI >1 for the diagnosis of OSA, the results appeared to be more useful, with a higher sensitivity (88%) while maintaining a moderate specificity (71%). These findings suggest that unattended sleep studies are a good tool for predicting both the presence and severity of OSA in children, especially in those with mild‐to‐moderate disease.
Transition from Sitting to Standing after Trans-Femoral Amputation

Standing up is an important and common daily activity. It is essential for independence and a prerequisite for walking. Many elderly and many subjects with impairments have problems with transition from sitting to standing. The aim of the present study was to determine whether there was any difference between the characteristics of standing up in trans-femoral amputees and healthy subjects. Five young trans-femoral amputees and five healthy subjects were included in the study. They were asked to stand up. The body motion was recorded using an Optotrak contactless optical system. The force and moment vectors exerted on the seat were recorded by a JR3 six-axis robot wrist sensor. The force under the feet was recorded by two AMTI force plates. The trans-femoral amputees were found to stand up more slowly than the healthy subjects. The angles of the hip, knee, and ankle joints on the amputated side were different from the angles on the healthy side or in the healthy subjects. There was also a great difference in loading between the healthy and the prosthetic foot. It can be concluded that there are differences in standing up between the trans-femoral amputees and the healthy subjects. These differences may indicate a reason for problems many elderly trans-femoral amputees face when standing up.
Declining Biodiversity in Agricultural Landscapes and the Effectiveness of Agri-environment Schemes

Abstract Agricultural intensification, greatly accelerated as a result of the EU Common Agricultural Policy (CAP), has led to rastic reductions in the populations of many wild plant and animal species that used to be characteristic of farmland. In 1992, the EU provided the member states with its Agri-environment Regulation 2078/92 to help member states reverse these developments by means of agri-environment schemes. The question is: will the implementation of these schemes be sufficient to restore the biological diversity on farmland? Most studies that have examined the effectiveness of agri-environment schemes have focussed on farmland birds in Great Britain and The Netherlands. So far, the positive effects appear to be limited. Continuous evaluation and adaptation of these schemes is needed to enable the biodiversity on farmland to recover from the EU's former policy.
Association Between Poor Sleep, Fatigue, and Safety Outcomes in Emergency Medical Services Providers

Abstract Objective. To determine the association between poor sleep quality, fatigue, and self-reported safety outcomes among emergency medical services (EMS) workers. Methods. We used convenience sampling of EMS agencies and a cross-sectional survey design. We administered the 19-item Pittsburgh Sleep Quality Index (PSQI), 11-item Chalder Fatigue Questionnaire (CFQ), and 44-item EMS Safety Inventory (EMS-SI) to measure sleep quality, fatigue, and safety outcomes, respectively. We used a consensus process to develop the EMS-SI, which was designed to capture three composite measurements of EMS worker injury, medical errors and adverse events (AEs), and safety-compromising behaviors. We used hierarchical logistic regression to test the association between poor sleep quality, fatigue, and three composite measures of EMS worker safety outcomes. Results. We received 547 surveys from 30 EMS agencies (a 35.6% mean agency response rate). The mean PSQI score exceeded the benchmark for poor sleep (6.9, 95% confidence interval [CI] 6.6, 7.2). More than half of the respondents were classified as fatigued (55%, 95% CI 50.7, 59.3). Eighteen percent of the respondents reported an injury (17.8%, 95% CI 13.5, 22.1), 41% reported a medical error or AE (41.1%, 95% CI 36.8, 45.4), and 90% reported a safety-compromising behavior (89.6%, 95% CI 87, 92). After controlling for confounding, we identified 1.9 greater odds of injury (95% CI 1.1, 3.3), 2.2 greater odds of medical error or AE (95% CI 1.4, 3.3), and 3.6 greater odds of safety-compromising behavior (95% CI 1.5, 8.3) among fatigued respondents versus nonfatigued respondents. Conclusions. In this sample of EMS workers, poor sleep quality and fatigue are common. We provide preliminary evidence of an association between sleep quality, fatigue, and safety outcomes.
Environmental Risk Factors for Talaromycosis Hospitalizations of HIV-Infected Patients in Guangzhou, China: Case Crossover Study

Talaromycosis is a fatal opportunistic infection prevalent in human immunodeficiency virus (HIV)-infected patients, previous studies suggest environmental humidity is associated with monthly talaromycosis hospitalizations of HIV-infected patients, but the acute risk factor remains uncertain. In this study, we evaluated the associations between talaromycosis hospitalizations of HIV-infected patients (n = 919) and environmental factors including meteorological variables and air pollutants at the event day (assumed “lag 0” since the exact infection date is hard to ascertain) and 1–7 days prior to event day (lag 1–lag 7) in conditional logistics regression models based on a case crossover design. We found that an interquartile range (IQR) increase in temperature at lag 0–lag 7 (odds ratio [OR] [95% CI] ranged from 1.748 [1.345–2.273] to 2.184 [1.672–2.854]), and an IQR increase in humidity at lag 0 (OR [95% CI] = 1.192 [1.052–1.350]), and lag 1 (OR [95% CI] = 1.199 [1.056–1.361]) were significantly associated with talaromycosis hospitalizations of HIV-infected patients. Besides, temperature was also a common predictor for talaromycosis in patients with co-infections including candidiasis (n = 386), Pneumocystis pneumonia (n = 183), pulmonary tuberculosis (n = 141), and chronic hepatitis (n = 158), while humidity was a specific risk factor for talaromycosis in patients with candidiasis, and an air pollutant, SO2, was a specific risk factor for talaromycosis in patients with Pneumocystis pneumonia. In an age stratified evaluation (cutoff = 50 years old), temperature was the only variable positively associated with talaromycosis in both younger and older patients. These findings broaden our understanding of the epidemiology and pathogenesis of talaromycosis in HIV-infected patients.
Sevoflurane anaesthesia in chickens during spontaneous and controlled ventilation

A crossover study design was used to investigate the dose-related effects of sevoflurane at end-tidal concentrations of 2.2 to 4.4 per cent on the respiratory rate, blood gases, heart rate, arterial blood pressure and ocular signs of chickens during spontaneous and controlled ventilation. The mean (sd) carbon dioxide partial pressure (PaCO2) increased as the concentration of sevoflurane increased, and was 86 (29) mmHg at an end-tidal concentration of 4.4 per cent during spontaneous ventilation, but was maintained between 29 and 42 mmHg during controlled ventilation. The heart rate increased as the concentration of sevoflurane increased during spontaneous ventilation, but did not change during controlled ventilation. Sevoflurane decreased arterial blood pressure during both spontaneous and controlled ventilation, but a dosedependent decrease in arterial blood pressure was observed only during controlled ventilation. The mean arterial blood pressure at an end-tidal concentration of 4.4 per cent was significantly higher during spontaneous ventilation than during controlled ventilation. Controlled ventilation prevented the increases in PaCO2 and heart rate that were observed during spontaneous ventilation. The decrease in arterial blood pressure during spontaneous ventilation was less than that during controlled ventilation, possibly owing to the effects of hypercapnia.
Deep Learning Predicts Heart Failure With Preserved, Mid-Range, and Reduced Left Ventricular Ejection Fraction From Patient Clinical Profiles

Background: Left ventricular ejection fraction (LVEF) is the gold standard for evaluating heart failure (HF) in coronary artery disease (CAD) patients. It is an essential metric in categorizing HF patients as preserved (HFpEF), mid-range (HFmEF), and reduced (HFrEF) ejection fraction but differs, depending on whether the ASE/EACVI or ESC guidelines are used to classify HF. Objectives: We sought to investigate the effectiveness of using deep learning as an automated tool to predict LVEF from patient clinical profiles using regression and classification trained models. We further investigate the effect of utilizing other LVEF-based thresholds to examine the discrimination ability of deep learning between HF categories grouped with narrower ranges. Methods: Data from 303 CAD patients were obtained from American and Greek patient databases and categorized based on the American Society of Echocardiography and the European Association of Cardiovascular Imaging (ASE/EACVI) guidelines into HFpEF (EF > 55%), HFmEF (50% ≤ EF ≤ 55%), and HFrEF (EF < 50%). Clinical profiles included 13 demographical and clinical markers grouped as cardiovascular risk factors, medication, and history. The most significant and important markers were determined using linear regression fitting and Chi-squared test combined with a novel dimensionality reduction algorithm based on arc radial visualization (ArcViz). Two deep learning-based models were then developed and trained using convolutional neural networks (CNN) to estimate LVEF levels from the clinical information and for classification into one of three LVEF-based HF categories. Results: A total of seven clinical markers were found important for discriminating between the three HF categories. Using statistical analysis, diabetes, diuretics medication, and prior myocardial infarction were found statistically significant (p < 0.001). Furthermore, age, body mass index (BMI), anti-arrhythmics medication, and previous ventricular tachycardia were found important after projections on the ArcViz convex hull with an average nearest centroid (NC) accuracy of 94%. The regression model estimated LVEF levels successfully with an overall accuracy of 90%, average root mean square error (RMSE) of 4.13, and correlation coefficient of 0.85. A significant improvement was then obtained with the classification model, which predicted HF categories with an accuracy ≥93%, sensitivity ≥89%, 1-specificity <5%, and average area under the receiver operating characteristics curve (AUROC) of 0.98. Conclusions: Our study suggests the potential of implementing deep learning-based models clinically to ensure faster, yet accurate, automatic prediction of HF based on the ASE/EACVI LVEF guidelines with only clinical profiles and corresponding information as input to the models. Invasive, expensive, and time-consuming clinical testing could thus be avoided, enabling reduced stress in patients and simpler triage for further intervention.
Nonparametric Bayesian Context Learning for Buried Threat Detection

Abstract : This dissertation addresses the problem of detecting buried explosive threats (i.e. landmines and improvised explosive devices) with ground-penetrating radar (GPR) and hyperspectral imaging (HSI) across widely-varying environmental conditions. Automated detection of buried objects with GPR and HSI is particularly difficult due to the sensitivity of sensor phenomenology to variations in local environmental conditions. Past approaches have attempted to mitigate the effects of ambient factors by designing statistical detection and classification algorithms to be invariant to such conditions. An alternative approach to improving detection performance is to consider exploiting differences in sensor behavior across environments rather than mitigating them, and treat changes in the background data as a possible source of supplemental information for the task of classifying targets and non-targets. This approach is referred to as context-dependent learning. Although past researchers have proposed context-based approaches to detection and decision fusion, the definition of context used in this work differs from those used in the past. In this work, context is motivated by the physical state of the world from which an observation is made, and not from properties of the observation itself. The proposed context-dependent learning technique therefore utilized additional features that characterize soil properties from the sensor background, and a variety of nonparametric models were proposed for clustering these features into individual contexts. The number of contexts was assumed to be unknown a priori, and was learned via Bayesian inference using Dirichlet process priors. The learned contextual information was then exploited by an ensemble on classifiers trained for classifying targets in each of the learned contexts.
A Paradox in Digital Memory Assessment: Increased Sensitivity With Reduced Difficulty

The One Card Learning Test (OCL80) from the Cogstate Brief Battery—a digital cognitive test used both in-person and remotely in clinical trials and in healthcare contexts to inform health decisions—has shown high sensitivity to changes in memory in early Alzheimer's disease (AD). However, recent studies suggest that OCL sensitivity to memory impairment in symptomatic AD is not as strong as that for other standardized assessments of memory. This study aimed to improve the sensitivity of the OCL80 to AD-related memory impairment by reducing the test difficultly (i.e., OCL48). Experiment 1 showed performance in healthy adults improved on the OCL48 while the pattern separation operations that constrain performance on the OCL80 were retained. Experiment 2 showed repeated administration of the OCL48 at short retest intervals did not induce ceiling or practice effects. Experiment 3 showed that the sensitivity of the OCL48 to AD-related memory impairment (Glass's Δ = 3.11) was much greater than the sensitivity of the OCL80 (Glass's Δ = 1.94). Experiment 4 used data from a large group of cognitively normal older adults to calibrate performance scores between the OCL80 and OCL48 using equipercentile equating. Together these results showed the OCL48 to be a valid and reliable test of learning with greater sensitivity to memory impairment in AD than the OCL80.