Miracle-dz/UniFAR-FTUs huggingface dataset:
Similarity between carotid and coronary artery responses to sympathetic stimulation and the role of (cid:2) 1 -receptors in humans

Similarity between carotid and coronary artery responses to sympathetic stimulation and the role of (cid:2) 1 -receptors in humans. J Appl Physiol 125: 2018. Carotid artery (CCA) dilation occurs in healthy subjects during cold pressor test (CPT), while the magnitude of dilation relates to cardiovascular risk. To further explore this phenomenon and mechanism, we examined carotid artery responses to different sympathetic tests, with and without (cid:2) 1 -receptor blockade and assessed similarity to these responses between carotid and coronary arteries. In randomized order, 10 healthy participants (25 (cid:3) 3 yr) underwent sympathetic stimulation using the CPT (3-min left-hand immersion in ice-slush) and lower-body negative pressure (LBNP). Before and during sympathetic tests, CCA diameter and velocity (Doppler ultrasound) and left anterior
Transcriptome analysis of renal ischemia/reperfusion (I/R) injury in BAFF and BAFF-R deficient mice

Acute kidney injury (AKI) accompanies with high morbidity and mortality. Incomplete renal recovery can lead to chronic and finally end-stage kidney disease, which results in the requirement of lifelong dialysis or kidney transplantation. Consequently, finding predictive biomarker and therefore developing preventive therapeutic approaches is an urgent need. For this purpose, a better understanding of the mechanism underlying AKI is necessary. The cytokine BAFF (B cell activating factor) is related to AKI by supporting B cells, which in turn play an important role in inflammatory processes and the production of antibodies. In our study, we investigated the role of BAFF and its receptor BAFF-R in the early phase of AKI. Therefore, we performed the well-established ischemia/reperfusion (I/R) model in BAFF (B6.129S2-Tnfsf13btm1Msc/J) and BAFF-R (B6(Cg)-Tnfrsf13ctm1Mass/J) deficient mice. Transcriptome of ischemic and contralateral control kidneys was analyzed and compared to wildtype littermates. We detected the upregulation of Lcn2, Lyz2, Cd44, Fn1 and Il1rn in ischemic kidneys as well as the downregulation of Kl. Furthermore, we revealed different expression patterns in BAFF and BAFF-R knockout mice. Compared to wildtype littermates, up- and downregulation of each investigated gene were higher in BAFF-R knockout and lower in BAFF knockout. Our findings indicate a positive impact of BAFF knockout in early phase of AKI, while BAFF-R knockout seems to worsen I/R injury. In addition, our study shows for the first time a remarkable renal upregulation of Lyz2 in a murine I/R model. Therefore, we consider Lyz2 as conceivable predictive or early biomarker in case of I/R and AKI.
Hepatoprotective effect of resveratrol against ethanol-induced oxidative stress through induction of superoxide dismutase in vivo and in vitro

The present study aimed to investigate the hepatoprotective effect of resveratrol (RSV) against ethanol-induced oxidative stress in vivo, and investigate the underlying mechanisms by which RSV exerts its anti-oxidative effects on hepatic cells. C57BL/6J mice were divided into four groups: Untreated control, ethanol-treated, RSV-treated, and ethanol + RSV-treated. The plasma lipid profile, hepatic lipid accumulation and antioxidative enzyme activities were analyzed. HepG2 cells were used as a cellular model to analyze the effects of superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx) and peroxisome proliferator-activated receptors (PPARs) in the RSV-mediated protection of ethanol-induced oxidative stress. In C57BL/6J mice, ethanol caused a significant increase in plasma triglyceride levels and hepatic lipid accumulation (P<0.05), whereas RSV notably increased SOD activity. In HepG2 cells, SOD activity was enhanced in the RSV-treated HepG2 cells, whereas the activity of CAT and GPx was not affected. Western blot and quantitative polymerase chain reaction analyses demonstrated that RSV significantly increased SOD protein and mRNA expression levels (P<0.05). Using a transient transfection assay, PPARγ was observed to participate in the regulation of SOD gene expression in RSV-administered HepG2 cells. To conclude, the results from the present study suggest that RSV may contribute towards the protection of hepatic cells from ethanol-induced oxidative stress via the induction of SOD activity and gene expression.
Testing bedload transport equations with consideration of time scales

Bedload transport is known to be a highly fluctuating temporal phenomenon, even under constant (mean) flow conditions, as a consequence of stochasticity, bedform migration, grain sorting, hysteresis, or sediment supply limitation. Because bedload transport formulas usually refer to a single mean transport value for a given flow condition, one can expect that prediction accuracy (when compared to measurements) will depend on the amplitude and duration of fluctuations, which in turn depend on the time scale used for observations. This paper aims to identify how the time scale considered can affect bedload prediction. This was done by testing 16 common bedload transport formulas with four data sets corresponding to different measurement period durations: (i) highly fluctuating (quasi‐)instantaneous field measurements; (ii) volumes accumulated at the event scale on two small alpine gravel‐bed rivers, potentially affected by seasonal fluctuations; (iii) volumes accumulated at the interannual scale in a meandering gravel bed river, thought to be weakly subject to fluctuations; (iv) time‐integrated flume measurements with nearly uniform sediments. The tests confirmed that the longer the measurement period, the better the precision of the formula's prediction interval. They also demonstrate several consequential limitations. Most threshold formulas are no longer valid when the flow condition is below two times the threshold condition for the largest elements' motion on the bed surface (considering D84). In such conditions, equations either predict zero transport, or largely overestimate the real transport, especially when D84 is high. There is a need for new sediment data collected with highly reliable techniques such as recording slot bedload samplers to further investigate this topic. Copyright © 2012 John Wiley & Sons, Ltd.
Tetravalent SARS-CoV-2 Neutralizing Antibodies Show Enhanced Potency 1 and Resistance to Escape Mutations

engineering and design principles that led to the of bivalent and tetravalent nAbs against SARS-CoV-2. The best nAb targets the host receptor binding site of the viral S-protein and its tetravalent versions can block entry with a potency that exceeds the bivalent nAbs by an order of magnitude. Structural studies show that both the bivalent and tetravalent nAbs can make multivalent interactions with a single S-protein trimer, observations consistent with the avidity and potency of these molecules. Significantly, we show that the tetravalent nAbs show much increased tolerance to potential virus escape mutants. Bivalent and tetravalent nAbs can be produced at large-scale and are as stable and specific as approved antibody drugs. Our results provide a general framework for developing potent antiviral therapies against COVID-19 and related viral threats, and our strategy can be readily applied to drug in development.
Gender inequality in the use of time in Argentina. An introductory note

This paper analyzes paid and unpaid work-time inequalities among urban adults. Data from the Time Use Survey (TUS) 2005 of Buenos Aires City are used. Many of the variables that were analyzed in conjunction with the TUS, come from the survey of households that jurisdiction. Multivariate analysis was applied using the method of Heckman (1979 ) to control the possible bias caused by sample selection. The main results show that comparable women and men groups did not differ in the number of hours they devoted to them and generating economic value, but significant differences were seen in employment rates corrected by the addition of housework and care. Also it could be seen that there is significant sexual division of labor and that women who bear demographic overload imposed by children. JEL Codes: [D13] [J16] [J22] [O1] 1 Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET), Instituto de Estudios Laborales y del Desarrollo Economico (IELDE) de la Universidad Nacional de Salta (UNSa), Argentina. 2 IELDE, UNSa, Consejo de Investigacion de la UNSa.
Stress-Gradient Coupling in Glacier Flow:III. Exact Longitudinal Equilibrium Equation

Abstract The “vertically” integrated, exact longitudinal stress-equilibrium equation of Budd (1970) is developed further in such a way as to yield an equation that gives explicitly and exactly the contributions to the basal shear stress made by surface and bed slope, surface curvature, longitudinal stress deviators, and longitudinal stress gradients in a glacier flowing in plane strain over a bed of longitudinally varying slope. With this exact equation, questions raised by various approximate forms of the longitudinal equilibrium equation can be answered decisively, and the magnitude of errors in the approximations can be estimated. To first order, in the angle δ that describes fluctuations in the surface slope α from its mean value, the exact equilibrium equation reduces to where G and T are the well-known stress-deviator-gradient and “variational stress” terms, K is a “longitudinal curvature” term, and B is a “basal drag” term that contributes a resistance to sliding across basal hills and valleys. Except for T, these terms are expressed in simple form and evaluated for practical situations. The bed slope θ (relative to the mean slope) is not assumed to be small, which allows the effects of bedrock topography to be determined, particularly through their appearance in the B term.
Development of a hyaluronic acid—collagen bioink for shear-induced fibers and cells alignment

Human tissues are characterized by complex composition and cellular and extracellular matrix (ECM) organization at microscopic level. In most of human tissues, cells and ECM show an anisotropic arrangement, which confers them specific properties. In vitro, the ability to closely mimic this complexity is limited. However, in the last years, extrusion bioprinting showed a certain potential for aligning cells and biomolecules, due to the application of shear stress during the bio-fabrication process. In this work, we propose a strategy to combine collagen (col) with tyramine-modified hyaluronic acid (THA) to obtain a printable col-THA bioink for extrusion bioprinting, solely-based on natural-derived components. Collagen fibers formation within the hybrid hydrogel, as well as collagen distribution and spatial organization before and after printing, were studied. For the validation of the biological outcome, fibroblasts were selected as cellular model and embedded in the col-THA matrix. Cell metabolic activity and cell viability, as well as cell distribution and alignment, were studied in the bioink before and after bioprinting. Results demonstrated successful collagen fibers formation within the bioink, as well as collagen anisotropic alignment along the printing direction. Furthermore, results revealed suitable biological properties, with a slightly reduced metabolic activity at day 1, fully recovered within the first 3 d post-cell embedding. Finally, results showed fibroblasts elongation and alignment along the bioprinting direction. Altogether, results validated the potential to obtain collagen-based bioprinted constructs, with both cellular and ECM anisotropy, without detrimental effects of the fabrication process on the biological outcome. This bioink can be potentially used for a wide range of applications in tissue engineering and regenerative medicine in which anisotropy is required.
Research on electronic synaptic simulation of HfO2-based memristor by embedding Al2O3

The potential of neuromorphic computing in synaptic simulation has led to a renewed interest in memristor. However, the demand for multilevel resistive switching with high reliability and low power consumption is still a great resistance in this application. In this work, the electronic synaptic plasticity and simulated bipolar switching behavior of Pt/Al2O3(2 nm)/HfO2 (10 nm)/Al2O3 (2 nm)/Ti tri-layer memristor is investigated. The effect of Al2O3 layer embedded at the top electrode and the bottom electrode on the resistive performance of the memristor was studied. It is found that both of them can effectively improve the reliability of the device (104 cycles), the resistive window (>103), the tunable synaptic linearity and reduce of the operating voltage. RRAM with Al2O3 embedded at the top electrode have higher uniformity and LTP linearity, while those with Al2O3 embedded at the bottom electrode significantly reduce the operating current (∼10 μA) and improve LTD linearity. Electron transport mechanisms were compared between single-layer HfO2 and tri-layer Al2O3/HfO2/Al2O3 samples under DC scanning. The results showed that the thin Al2O3 layer at the top electrode led to Fowler Northeim tunneling in the low-resistance state, while the thin Al2O3 layer at the bottom electrode led to Schottky emission in the high-resistance state. The Al2O3/HfO2/Al2O3 memristors were successfully used to achieve synaptic properties, including enhancement, inhibition, and spike time-dependent plasticity, demonstrating an important role in high-performance neuromorphic computing applications.
Electromagnetic heterogeneity of the seismogenic region of 1962 M6.5 Northern Miyagi Earthquake, northeastern Japan

Magnetotelluric surveys were carried out to investigate the electrical resistivity structure of the seismogenic region of the 1962 Northern Miyagi Earthquake (M6.5) in Miyagi Prefecture, northeastern Japan. A 2‐D inversion reveals the existence of a deep conductive zone and overlying resistive zone in the upper crust. A positive aeromagnetic anomaly is also recognized above the resistive zone, which is interpreted as a buried Kitakami granitoid pluton. By comparison with the seismicity, we found that the microearthquakes occur just above the deep conductor and in the resistive zone, and that several S‐wave reflectors are just above the deep conductor. Since the S‐wave reflectors suggest the existence of fluid beneath them, the deep conductor can be interpreted as a fluid‐filled zone. Moreover, we suggest that the seepage of the fluid from the conductive fluid‐filled zone to the resistive granitoid pluton can become a trigger of the earthquakes.
Panel Data Inference Under Spatial Dependence

This paper focuses on inference based on the usual panel data estimators of a one-way error component regression model when the true specification is a spatial error component model. Among the estimators considered, are pooled OLS, random and fixed effects, maximum likelihood under normality, etc. The spatial effects capture the cross-section dependence, and the usual panel data estimators ignore this dependence. Two popular forms of spatial autocorrelation are considered, namely, spatial auto-regressive random effects (SAR-RE) and spatial moving average random effects (SMA-RE). We show that when the spatial coefficients are large, test of hypothesis based on the usual panel data estimators that ignore spatial dependence can lead to misleading inference.
A MACHINE LEARNING MODEL DERIVED FROM ANALYSIS OF TIME-COURSE GENE-EXPRESSION DATASETS REVEALS TEMPORALLY STABLE GENE MARKERS PREDICTIVE OF SEPSIS MORTALITY

ABSTRACT Sepsis is associated with significant mortality and morbidity among critically ill patients admitted to intensive care units and represents a major health challenge globally. Given the significant clinical and biological heterogeneity among patients and the dynamic nature of the host immune response, identifying those at high risk of poor outcomes remains a critical challenge. Here, we performed secondary analysis of publicly available time-series gene-expression datasets from peripheral blood of patients admitted to the intensive care unit to elucidate temporally stable gene-expression markers between sepsis survivors and nonsurvivors. Using a limited set of genes that were determined to be temporally stable, we derived a dynamical model using a Support Vector Machine classifier to accurately predict the mortality of sepsis patients. Our model had robust performance in a test dataset, where patients' transcriptome was sampled at alternate time points, with an area under the curve of 0.89 (95% CI, 0.82–0.96) upon 5-fold cross-validation. We also identified 7 potential biomarkers of sepsis mortality (STAT5A, CX3CR1, LCP1, SNRPG, RPS27L, LSM5, SHCBP1) that require future validation. Pending prospective testing, our model may be used to identify sepsis patients with high risk of mortality accounting for the dynamic nature of the disease and with potential therapeutic implications.
Developing a deep learning model for sleep stage prediction in obstructive sleep apnea cohort using 60 GHz frequency‐modulated continuous‐wave radar

Given the significant impact of sleep on overall health, radar technology offers a promising, non‐invasive, and cost‐effective avenue for the early detection of sleep disorders, even prior to relying on polysomnography (PSG)‐based classification. In this study, we employed an attention‐based bidirectional long short‐term memory (Attention Bi‐LSTM) model to accurately predict sleep stages using 60 GHz frequency‐modulated continuous‐wave (FMCW) radar. Our dataset comprised 78 participants from an ongoing obstructive sleep apnea (OSA) cohort, recruited between July 2021 and November 2022, who underwent overnight polysomnography alongside radar sensor monitoring. The dataset encompasses comprehensive polysomnography recordings, spanning both sleep and wakefulness states. The predictions achieved a Cohen's kappa coefficient of 0.746 and an overall accuracy of 85.2% in classifying wakefulness, rapid‐eye‐movement (REM) sleep, and non‐REM (NREM) sleep (N1 + N2 + N3). The results demonstrated that the models incorporating both Radar 1 and Radar 2 data consistently outperformed those using only Radar 1 data, indicating the potential benefits of utilising multiple radars for sleep stage classification. Although the performance of the models tended to decline with increasing OSA severity, the addition of Radar 2 data notably improved the classification accuracy. These findings demonstrate the potential of radar technology as a valuable screening tool for sleep stage classification.
Comparison of chlorofluorocarbon-age dating with particle-tracking results of a regional ground-water flow model of the Portland Basin, Oregon and Washington

Chlorofluorocarbon (CFC)-age dating was used to determine the presence or absence of modern water (water containing CFCs) in samples from 54 water wells in the Portland Basin. The accuracy of the CFC-dating method was confirmed by tritium analyses of water from six wells. CFC-dating results from 51 of the 54 wells were compared with minimum travel times of the water estimated using particle-tracking-simulation techniques. Particle tracking was accomplished using a program that combines the results of a regional, ground-water flow model of the Portland Basin with an estimated porosity field, in order to determine ground-water flow paths and to calculate particle travel times. The particle tracker can be used to delineate areas that, on the basis of short modeled travel times and known or perceived upgradient-contaminant loadings, may be affected by contaminants. A sensitivity analysis of various particle densities used in the simulations indicated that about 500 particles per model cell provides an adequate description of the minimum time of travel for water particles tracked from the 51 wells. The CFC results and the particle-tracker results were comparable at 39 (76 percent) of the 51 wells, if water that has entered the ground-water system since 1944 (the limit of detection using CFCs) is considered modern. Furthermore, although the particle-tracker-model results and the CFC-model results were not comparable at 12 sites, the particle-tracker model appeared to err on the conservative side when compared with the CFC model. If the CFC-model results are correct, the particle-tracker results are conservative at 9 of the 12 sites. At those nine sites, the particle-tracker model indicated the presence of modern water, but the CFC-model ages were old (pre-1944). At the other three sites, the particle-tracker model failed to indicate the apparent presence of modern water. On the basis of this comparison, it appears that particle-tracking techniques can be used to identify parts of the Portland Basin likely to yield modern water to wells, and that CFC-age dating can provide a useful check on the reliability of the particle-tracker results. Results of both particle-tracking simulations and CFC-age dating indicate that modem ground water flows to depths of hundreds of feet in the Portland Basin. Although wells with deep open intervals generally yield old water more often than wells with shallow open intervals, many wells with deep open intervals do produce modem water. Because many wells with deep open intervals in the Portland Basin produce modern water, aquifer depth alone is not a reliable indicator of the vulnerability of ground water to contamination. Other factors, such as contaminant loadings, and contaminant transport and fate, need to be considered when determining ground-water vulnerability.