Miracle-dz/UniFAR-FTUs huggingface dataset:
Diesel Exhaust Exposure during Farming Activities: Statistical Modeling of Continuous Black Carbon Concentrations.

OBJECTIVES Daily driving of diesel-powered tractors has been linked to increased lung cancer risk in farmers, yet few studies have quantified exposure levels to diesel exhaust during tractor driving or during other farm activities. We expanded an earlier task-based descriptive investigation of factors associated with real-time exposure levels to black carbon (BC, a surrogate of diesel exhaust) in Iowa farmers by increasing the sample size, collecting repeated measurements, and applying statistical models adapted to continuous measurements. METHODS The expanded study added 43 days of sampling, for a total of 63 sample days conducted in 2015 and 2016 on 31 Iowa farmers. Real-time, continuous monitoring (30-s intervals) of personal BC concentrations was performed using a MicroAeth AE51 microaethelometer affixed with a micro-cyclone. A field researcher recorded information on tasks, fuel type, farmer location, and proximity to burning biomass. We evaluated the influence of these variables on log-transformed BC concentrations using a linear mixed-effect model with random effects for farmer and day and a first-order autoregressive structure for within-day correlation. RESULTS Proximity to diesel-powered equipment was observed for 42.5% of the overall sampling time and on 61 of the 63 sample days. Predicted geometric mean BC concentrations were highest during grain bin work, loading, and harvesting, and lower for soil preparation and planting. A 68% increase in BC concentrations was predicted for close proximity to a diesel-powered vehicle, relative to far proximity, while BC concentrations were 44% higher in diesel vehicles with open cabins compared with closed cabins. Task, farmer location, fuel type, and proximity to burning biomass explained 8% of within-day variance in BC concentrations, 2% of between-day variance, and no between-farmer variance. CONCLUSION Our findings showed that farmers worked frequently near diesel equipment and that BC concentrations varied between tasks and by fuel type, farmer location, and proximity to burning biomass. These results could support the development of exposure models applicable to investigations of health effects in farmers associated with exposure to diesel engine exhaust.
Prolonged Diagnostic Delay in Acromegaly is Associated with Increased Morbidity and Mortality.

CONTEXT Clinical features of acromegaly develop insidiously. Its diagnosis may therefore be delayed. OBJECTIVE Our aim was to study diagnostic delay and its impact on morbidity and mortality in a nationwide cohort of patients with acromegaly. DESIGN Adult patients diagnosed with acromegaly between 2001 and 2013 were identified in the Swedish National Patient Registry. Diagnostic codes for predefined comorbidities associated with acromegaly were recorded between 1987 and 2013. Diagnostic delay was calculated as the time between the first registered comorbidity and the diagnosis of acromegaly. RESULTS A total of 603 patients (280 men, 323 women) with acromegaly were included. Mean (SD) diagnostic delay was 5.5 (6.2) years [median (minimum, maximum) 3.3 (0.0-25.9)]. Diagnostic delay was 1-<5 years in 23% patients; 5-<10 years in 17%; and ≥10 years in 24%. No delay was recorded in 36% of patients. Overall, mean (SD) number of comorbidities was 4.1 (2.5) and was higher in patients with longer diagnostic delay (P < 0.0001). Overall, observed number of deaths was 61 (expected 42.2), resulting in a standardized mortality ratio (SMR) of 1.45 (95% CI: 1.11-1.86). Increased mortality was only found in patients with the longest diagnostic delay (1.76, 95% CI: 1.12-2.65). In the other groups, no statistically significant increase in mortality was recorded, with the numerically lowest SMR observed in patients without diagnostic delay (1.18; 95% CI: 0.68-1.92). CONCLUSIONS The diagnosis of acromegaly is delayed in most patients. Prolonged diagnostic delay is associated with increased morbidity and mortality.
BRCA1 and VDR gene polymorphisms are associated with prostate cancer risk in Mexican men

Prostate cancer (PC) is a polygenic disease with broad differences across ethnicities. BRCA1/2 and VDR have exhibited a featured genetic contribution to PC development in European populations. Nonetheless, its contribution in Latino populations specifically among Mexican men, where 70% of PC cases are detected in advanced stages, is still unknown. The contribution of seven polymorphisms in BRCA1/2 and VDR genes to PC susceptibility was evaluated in 370 incident PC cases and 759 age‐matched (±5 years) controls belonging to the Mexican population. Based on Gleason score at diagnosis, PC cases were classified as well‐differentiated PC (Gleason <7) and moderate or poorly differentiated PC (Gleason ≥7). Age at diagnosis was used to divided PC cases in earlier (<60 years) and late‐onset PC (≥60 years). Prostate and breast cancer family histories were obtained through interview. Our results provided evidences about the contribution of BRCA1‐rs1799966 (ORCC genotype = 2.30; 95% confidence interval [CI] = 1.36‐3.91) to the moderate or poorly differentiated PC risk, independently of the family history of prostate, breast or ovary cancer. Further, VDR‐rs2238135‐G allele was associated with early‐onset PC (ORG allele = 2.05; 95% CI = 1.06‐3.95), and marginally with moderate or poorly differentiated PC risk. The present study revealed the crucial role of BRCA1 in PC aggressiveness risk, outstanding the gender imbalance regarding the breast cancer risk in women.
4E-BP–Dependent Translational Control of Irf8 Mediates Adipose Tissue Macrophage Inflammatory Response

Key Points The lack of 4E-BPs promotes Mϕ inflammatory responses. 4E-BP–null mice are prone to HFD-induced obesity. 4E-BPs control translation of Irf8. Deregulation of mRNA translation engenders many human disorders, including obesity, neurodegenerative diseases, and cancer, and is associated with pathogen infections. The role of eIF4E-dependent translational control in macrophage inflammatory responses in vivo is largely unexplored. In this study, we investigated the involvement of the translation inhibitors eIF4E-binding proteins (4E-BPs) in the regulation of macrophage inflammatory responses in vitro and in vivo. We show that the lack of 4E-BPs exacerbates inflammatory polarization of bone marrow–derived macrophages and that 4E-BP–null adipose tissue macrophages display enhanced inflammatory gene expression following exposure to a high-fat diet (HFD). The exaggerated inflammatory response in HFD-fed 4E-BP–null mice coincides with significantly higher weight gain, higher Irf8 mRNA translation, and increased expression of IRF8 in adipose tissue compared with wild-type mice. Thus, 4E-BP–dependent translational control limits, in part, the proinflammatory response during HFD. These data underscore the activity of the 4E-BP–IRF8 axis as a paramount regulatory mechanism of proinflammatory responses in adipose tissue macrophages.
Gaussian Basis Sets for Crystalline Solids: All-Purpose Basis Set Libraries vs System-Specific Optimizations

It is customary in molecular quantum chemistry to adopt basis set libraries in which the basis sets are classified according to either their size (triple-ζ, quadruple-ζ, .) and the method/property they are optimal for (correlation-consistent, linear-response, .) but not according to the chemistry of the system to be studied. In fact the vast majority of molecules is quite homogeneous in terms of density (i.e., atomic distances) and types of bond involved (covalent or dispersive). The situation is not the same for solids, in which the same chemical element can be found having metallic, ionic, covalent, or dispersively bound character in different crystalline forms or compounds, with different packings. This situation calls for a different approach to the choice of basis sets, namely a system-specific optimization of the basis set that requires a practical algorithm that could be used on a routine basis. In this work we develop a basis set optimization method based on an algorithm–similar to the direct inversion in the iterative subspace–that we name BDIIS. The total energy of the system is minimized together with the condition number of the overlap matrix as proposed by VandeVondele et al. [VandeVondele et al. J. Chem. Phys.2007, 227, 114105]. The details of the method are here presented, and its performance in optimizing valence orbitals is shown. As demonstrative systems we consider simple prototypical solids such as diamond, graphene sodium chloride, and LiH, and we show how basis set optimizations have certain advantages also toward the use of large (quadruple-ζ) basis sets in solids, both at the DFT and Hartree–Fock level.
Hypoglycemic and hepatoprotective effect of Rhizophora mucronata and Avicennia marina against streptozotocin-induced diabetes in male rats

Objectives: Aqueous extracts of Rhizophora mucronata and Avicennia marina leaves were investigated for their hepatoprotective potential in diabetic rats. Materials and methods: One hundred twenty male albino rats were randomly assigned to eight equal groups (n = 15). The first group (control) comprised normal healthy rats, while the second to fifth groups were intraperitoneally injected with a single dose of streptozotocin (STZ) [60 mg/kg body weight (BW)] for induction of diabetes. Group 2 was kept as positive diabetic control, while groups 3–5 were orally treated with aqueous extracts of R. mucronata (400 mg/kg BW), A. marina (400 mg/kg BW) and with a combination of ½ a dose of the two plants, respectively, for six weeks. Groups 6–8 were non-diabetic rats that orally received aqueous extracts of R. mucronata (400 mg/kg BW), A. marina (400 mg/kg BW), and a combination of ½ a dose of the two plants, respectively, for 6 weeks. Results: STZ-induced diabetic rats showed a significant reduction in serum glucose and liver enzymes, increased serum insulin, Homeostasis Model Assessment of β-cells (HOMA-β), and Homeostasis Model Assessment of Insulin Resistance (HOMA-IR). Histopathological and immunohistochemical examinations of the liver revealed improved pathologic criteria in the plant extract treated diabetic rats compared with the remarkable changes which had been seen in STZ-induced diabetic rats. Conclusion: This study suggests that the aqueous extract of R. mucronata or its combination with A. marina showed potent hypoglycemic and hepatoprotective effects for liver dysfunction, as well as histopathological and immunohistochemical changes in the liver of STZ-induced diabetic rats.
A One-Stage Approach for Surface Anomaly Detection with Background Suppression Strategies

We explore a one-stage method for surface anomaly detection in industrial scenarios. On one side, encoder-decoder segmentation network is constructed to capture small targets as much as possible, and then dual background suppression mechanisms are designed to reduce noise patterns in coarse and fine manners. On the other hand, a classification module without learning parameters is built to reduce information loss in small targets due to the inexistence of successive down-sampling processes. Experimental results demonstrate that our one-stage detector achieves state-of-the-art performance in terms of precision, recall and f-score.
Mixed-methods approach to understanding clinician macrocognition in the design of a clinical decision support tool: a study protocol

Introduction The anatomic variants of congenital heart disease (CHD) are multiple. The increased survival of these patients and disposition into communities has led to an increase in their acute presentation to non-CHD experts in primary care clinics and emergency departments. Given the vulnerability and fragility of these patients in the face of acute illness, new clinical decision support systems (CDSS) are urgently needed to better translate the best practice recommendations for the care of these patients. This study aims to understand the perceived confidence and macrocognitive processes of non-CHD experts (emergency medicine physicians) and CHD experts (paediatric cardiac intensivists) when treating children with CHD during acute illness and apply this to optimise the design of a CDSS (MyHeartPass™) for these patients. Methods and analysis The first phase of the study involves a survey of non-CHD experts and CHD experts to understand their perceived confidence as it relates to treating acutely ill patients with CHD. The second phase is a qualitative cognitive task analysis using critical decision method to characterise and compare the macrocognitive processes used by non-CHD experts and CHD experts during the critical decision making. In phases 3 and 4, heuristic evaluation and usability testing of the CDSS will be completed. These results will be used to inform design changes to the chosen CDSS (MyHeartPass™). In the final phase, a within-participant simulation design will be used to study the effect of the CDSS on clinical decision making compared with baseline (without use of CDSS). Ethics and dissemination Ethics approval from The Hospital for Sick Children in Toronto, Ontario, Canada has been obtained for all phases. Results will be published in peer-reviewed journals and presented at relevant conferences. On successful completion of these studies, it is anticipated that there will be a controlled implementation of the redesigned CDSS.
Estimating the level of disease risk and biosecurity on commercial poultry farms in New Zealand

ABSTRACT Aims: To collect baseline data on the contact risk pathways and biosecurity practices of commercial poultry farms in New Zealand, investigate the relationship between the farm-level disease contact risks and biosecurity practices, and identify important poultry health concerns of producers. Methods: A cross-sectional survey of all registered New Zealand commercial poultry operations was conducted in 2016 collecting information on farm demographics, biosecurity practices, and contact risk pathways. Survey responses were used to generate an unweighted subjective disease risk score based on eight risk criteria and a subjective biosecurity score based on the frequency with which producers reported implementing seven biosecurity measures. Producer opinions towards poultry health issues were also determined. Results: Responses to the survey response were obtained from 120/414 (29.0%) producers, including 57/157 (36.3%) broiler, 33/169 (19.5%) layer, 24/55 (44%) breeder, and 6/32 (19%) other poultry production types. Median disease risk scores differed between production types (p < 0.001) and were lowest for breeder enterprises. The greatest risk for layer and broiler enterprises was from the potential movement of employees between sheds, and for breeder enterprises was the on- and off-farm movement of goods and services. Median biosecurity scores also differed between production types (p < 0.001), and were highest for breeder and broiler enterprises. Across all sectors there was no statistical correlation between biosecurity scores and disease risk scores. Producers showed a high level of concern over effectively managing biosecurity measures. Conclusions: The uptake of biosecurity measures in the commercial poultry farms surveyed was highly variable, with some having very low scores despite significant potential disease contact risks. This may be related to the low prevalence or absence of many important infectious poultry diseases in New Zealand leading farmers to believe there is a limited need to maintain good biosecurity as well as farmer uncertainty around the efficacy of different biosecurity measures. Further research is needed to understand barriers towards biosecurity adoption including evaluating the cost-effectiveness of biosecurity interventions.
The Impact of Portal Satisfaction on Portal Use and Health-Seeking Behavior: Structural Equation Analysis

Background Our study addresses a gap in the modern information systems (IS) use literature by investigating factors that explain patient portal satisfaction (SWP) and perceptions about health-seeking behavior (HSB). A novel feature of our study is the incorporation of actual portal use data rather than the perceptions of use intention, which prevails in the modern IS literature. Objective This study aimed to empirically validate factors that influence SWP as an influencing agent on portal use and HSB. Our population segment was comprised of college students with active patient portal accounts. Methods Using web-based survey data from a population of portal users (n=1142) in a university health center, we proposed a theoretical model that adapts constructs from the Technology Acceptance Model by Davis, the revised Technology Adoption Model by Venkatesh, the Unified Theory of the Acceptance and Use of Technology 2, and the Health Belief Model by Rosenstock et al. We validated our model using structural equation modeling techniques. Results Our model explained nearly 65% of the variance in SWP (R2=0.6499), nearly 33% of the variance in portal use (R2=0.3250), and 29% of the variance in HSB (R2=0.2900). Statistically significant antecedents of SWP included social influence (beta=.160, t499=6.145), habit (beta=.114, t499=4.89), facilitating conditions (beta=.062, t499=2.401), effort expectancy (beta=.311, t499=11.149), and performance expectancy (beta=.359, t499=11.588). SWP influenced HSB (beta=.505, t499=19.705) and portal use (beta=.050, t499=2.031). We did not find a statistically significant association between portal use and HSB (beta=.015, t499=0.513). Perceived severity significantly influenced HSB (beta=.129, t499=4.675) but not portal use (beta=.012, t499=.488). Conclusions Understanding the importance of SWP and the role it plays in influencing HSB may point to future technology design considerations for information technology developers and health care providers. We extend current Expectancy Confirmation Theory research by finding a positive association between SWP and portal use.
Preventing Dental Surgical Fires: Characterizing Nasal-Cannulated Supplemental Oxygen Pooling in an In Situ Dental Procedure

Objectives Surgical operatory fires continue to occur in the United States, often with devastating consequences. Because more than 21% concentrations of oxygen are necessary for the onset of such combustion, this study examined fluctuations of surgical site oxygen levels. Better understanding how these more than 21% concentrations occur will not only add to surgical fire prevention efforts generally but also potentially reduce patient or staff harm and practitioner liability as well. Methods Performing an in situ dental procedure with supplemental nasal-cannulated oxygen and a dental dam, we measured oxygen pooling, defined as any fraction of inspired oxygen (FIO2) greater than the 21% FIO2 of air, on top of and behind a dental dam, and during the application of high-volume intraoral suction. Results Findings indicated statistically significantly higher concentrations (as much as twice the <30% recommended safe level) behind the dental dam compared with on top of it. During real-time measurements of FIO2 for four 120-second trials per participant, oxygen levels exhibited significant fluctuation above and below a more stringent 24.9% safety threshold established in prior research. Application of high-speed intraoral dental suction reduced FIO2 to near atmospheric levels in 30 (96.7%) of 31 of the cases by 60 seconds. Conclusions These results demonstrate the elevated risk associated with above-safe levels of oxygen pooling during a simple dental procedure. Although future research is needed to still more exactly characterize conditions leading to the onset of surgical fires, this study also demonstrates the ability of high-speed intraoral suction to dramatically and rapidly decrease that risk.
Functional connectivity and microstructural changes of the brain in primary Sjögren syndrome: the relationship with depression

Background Fatigue and depression are among the most common manifestations of primary Sjögren syndrome (pSS), but information is lacking on the relationship with brain function and microstructural changes. Purpose To investigate microstructural changes and brain connectivity in pSS, and to evaluate their relationship with fatigue and depression. Material and Methods The study included 29 patients with pSS (mean age 61.2 ± 12.1 years; disease duration 10.5 ± 5.9 years) and 28 controls (mean age 58.4 ± 9.2 years). All the patients completed the Beck’s depression and Fatigue Assessment Scale questionnaires. The imaging protocol consisted of: (i) standard magnetic resonance imaging (MRI) pulse sequences (FLAIR, 3D T1W); (ii) a diffusion tensor imaging pulse sequence; and (iii) a resting state functional MRI pulse sequence. Resting state brain networks and maps of diffusion metrics were calculated and compared between patients and controls. Results Compared with the controls, the patients with pSS and depression showed increased axial, radial, and mean diffusivity and decreased fractional anisotropy; those without depression showed decreased axial diffusivity in major white matter tracts (superior longitudinal fasciculus, inferior longitudinal fasciculus, corticospinal tract, anterior thalamic radiation, inferior fronto-occipital fasciculus, cingulum, uncinate fasciculus, and forceps minor-major). Decreased brain activation in the sensorimotor network was observed in the patients with pSS compared with the controls. No correlation was found between fatigue and structural or functional changes of the brain. Conclusion pSS is associated with functional connectivity abnormalities of the somatosensory cortex and microstructural abnormalities in major white matter tracts, which are more pronounced in depression.
Impact of left ventricular assist devices and heart transplants on acute myocardial infarction and heart failure mortality and readmission measures

Background Concern has been raised about consequences of including patients with left ventricular assist device (LVAD) or heart transplantation in readmission and mortality measures. Methods We calculated unadjusted and hospital-specific 30-day risk-standardized mortality (RSMR) and readmission (RSRR) rates for all Medicare fee-for-service beneficiaries with a primary diagnosis of AMI or HF discharged between July 2010 and June 2013. Hospitals were compared before and after excluding LVAD and heart transplantation patients. LVAD indication was measured. Results In the AMI mortality (n = 506,543) and readmission (n = 526,309) cohorts, 1,166 and 1,016 patients received an LVAD while 3 and 2 had a heart transplantation, respectively. In the HF mortality (n = 1,015,335) and readmission (n = 1,254,124) cohorts, 789 and 931 received an LVAD, while 212 and 202 received a heart transplantation, respectively. Less than 2% of hospitals had either ≥6 patients who received an LVAD or, independently, had ≥1 heart transplantation. The AMI mortality and readmission cohorts used 1.8% and 2.8% of LVADs for semi-permanent/permanent indications, versus 73.8% and 78.0% for HF patients, respectively. The rest were for temporary/external indications. In the AMI cohort, RSMR for hospitals without LVAD patients versus hospitals with ≥6 LVADs was 14.8% and 14.3%, and RSRR was 17.8% and 18.3%, respectively; the HF cohort RSMR was 11.9% and 9.7% and RSRR was 22.6% and 23.4%, respectively. In the AMI cohort, RSMR for hospitals without versus with heart transplantation patients was 14.7% and 13.9% and RSRR was 17.8% and 17.7%, respectively; in the HF cohort, RSMR was 11.9% and 11.0%, and RSRR was 22.6% and 22.6%, respectively. Estimations changed ≤0.1% after excluding LVAD or heart transplantation patients. Conclusion Hospitals caring for ≥6 patients with LVAD or ≥1 heart transplantation typically had a trend toward lower RSMRs but higher RSRRs. Rates were insignificantly changed when these patients were excluded. LVADs were primarily for acute-care in the AMI cohort and chronic support in the HF cohort. LVAD and heart transplantation patients are a distinct group with differential care requirements and outcomes, thus should be considered separately from the rest of the HF cohort.