bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metformin prevents hypoxia‐induced podocyte injury by regulating the ZEB2/TG2 axis
Authors: Kolligundla Lakshmi P. , Kavvuri Rajesh , Singh Ashish K. , Mukhi Dhanunjay , Pasupulati Anil K. 
Published: October 2022

AbstractAimPodocytes, a vital component of the glomerular filtration barrier, are vulnerable to various noxious stimuli, including Hypoxic. HIF1α that transduces hypoxic adaptations induces Transglutaminase 2 (TG2), which catalyses cross‐linking of extracellular matrix proteins. In this study, we investigated the mechanism of regulation of TG2 by HIF1α.MethodsHIF1α was induced in podocytes by treating with FG4592 (Roxadustat) or hypoxia (1% oxygen) and in mice by treating with FG4592. Gene expression and protein analysis of ZEB2, TRPC6 and TG2 were performed in both experimental models. Histological and kidney function analyses were performed in mice.ResultsData mining revealed co‐expression of HIF1α, ZEB2, TRPC6 and TG2 in the chronic kidney diseases (CKD)‐validated dataset. We observed elevated expression of ZEB2, TRPC6 and TG2 in FG4592‐treated podocytes. Ectopic expression of ZEB2 resulted in high TRPC6 expression, elevated intracellular calcium levels and increased TG2 activity. Blocking the TRPC6 channel or inhibiting its expression partially attenuated FG4592‐induced TG2 activity, whereas suppression of ZEB2 expression significantly abolished TG2 activity. Furthermore, we noticed the induction of the ZEB2/TRPC6/TG2 axis in podocytes in mice administered with FG‐4592. Metformin ameliorated the HIF1α‐induced podocyte injury and proteinuria in mice administered with FG‐4592.ConclusionThis study demonstrates that HIF1α stimulates both TG2 expression and activity via ZEB2/TRPC6 axis, whereas abrogation of HIF1α by metformin prevented hypoxia‐induced glomerular injury. Metformin could be explored to treat proteinuric diseases such as CKD, sleep apnea and renal Ischemia–reperfusion‐injury, where hypoxia is considered a risk factor.
Men who have sex with men: An approach to social network analysis
Authors: Marqués‐Sánchez Pilar , Bermejo‐Martínez David , Quiroga Sánchez Enedina , Calvo‐Ayuso Natalia , Liébana‐Presa Cristina , Benítez‐Andrades José Alberto 
Published: October 2022

AbstractBackgroundDating apps for men who have sex with men (MSM) have favored unprotected sexual encounters; other unsafe practices, including drug use, are widespread. No evidence is available from the perspective of the structure of their relationships, a personal aspect included in all nursing meta‐paradigms.AimTo study the structure of MSM networks through dating and contact applications and this relationship to risky sexual activities such as condom use, chemsex (sex while using drug), and group sex.DesignDescriptive cross‐sectional study.SampleA total of 32 MSM participants from Madrid (Spain).MeasurementsSocio‐demographic and structural variables with Social Network Analysis (SNA) metrics. Data on condom use, drug use during encounters, and group sex were included.ResultsTwenty‐five percent of respondents practiced chemsex, and 75% of these used poppers. MSM with higher socioeconomic status participated in group sex sessions more frequently than those with lower socioeconomics. Within the network analysis, the relationships strong showed greater ease in having unprotected anal intercourse.ConclusionSNA can be effective in the study of MSM sexual networks and their risk behaviors for community nurses to improve their interventions in sexual health promotion.
The diving response and cardiac vagal activity: A systematic review and meta‐analysis
Authors: Ackermann Stefan Peter , Raab Markus , Backschat Serena , Smith David John Charles , Javelle Florian , Laborde Sylvain 
Published: October 2022

AbstractThis article aimed to synthesize the various triggers of the diving response and to perform a meta‐analysis assessing their effects on cardiac vagal activity. The protocol was preregistered on PROSPERO (CRD42021231419; 01.07.2021). A systematic and meta‐analytic review of cardiac vagal activity was conducted, indexed with the root mean square of successive differences (RMSSD) in the context of the diving response. The search on MEDLINE (via PubMed), Web of Science, ProQuest and PsycNet was finalized on November 6th, 2021. Studies with human participants were considered, measuring RMSSD pre‐ and during and/or post‐exposure to at least one trigger of the diving response. Seventeen papers (n = 311) met inclusion criteria. Triggers examined include face immersion or cooling, SCUBA diving, and total body immersion into water. Compared to resting conditions, a significant moderate to large positive effect was found for RMSSD during exposure (Hedges' g = 0.59, 95% CI 0.36 to 0.82, p < .001), but not post‐exposure (g = 0.11, 95% CI −0.14 to 0.36, p = .34). Among the considered moderators, total body immersion had a significantly larger effect than forehead cooling (QM = 23.46, df = 1, p < .001). No further differences were detected. Limitations were the small number of studies included, heterogenous triggers, few participants and low quality of evidence. Further research is needed to investigate the role of cardiac sympathetic activity and of the moderators.
Media exposure, threat processing, and mitigation behaviors in Gulf Coast residents facing the co‐occurring threats of COVID‐19 and hurricanes
Authors: Garfin Dana Rose , Thompson Rebecca R. , Wong‐Parodi Gabrielle 
Published: October 2022

AbstractThe 2020 hurricane season threatened millions of Americans concurrently grappling with COVID‐19. Processes guiding individual‐level mitigation for these conceptually distinct threats, one novel and chronic (COVID‐19), the other familiar and episodic (hurricanes), are unknown. Theories of health protective behaviors suggest that inputs from external stimuli (e.g., traditional and social media) lead to threat processing, including perceived efficacy (self‐ and response) and perceived threat (susceptibility and severity), guiding mitigation behavior. We surveyed a representative sample of Florida and Texas residents (N = 1846) between April 14, 2020 and April 27, 2020; many had previous hurricane exposure; all were previously assessed between September 8, 2017 and September 11, 2017. Using preregistered analyses, two generalized structural equation models tested direct and indirect effects of media exposure (traditional media, social media) on self‐reported (1) COVID‐19 mitigation (handwashing, mask‐wearing, social distancing) and (2) hurricane mitigation (preparation behaviors), as mediated through perceived efficacy (self‐ and response) and perceived threat (susceptibility and severity). Self‐efficacy and response efficacy were associated with social distancing (p = .002), handwashing, mask‐wearing, and hurricane preparation (ps < 0.001). Perceived susceptibility was positively associated with social distancing (p = 0.017) and hurricane preparation (p < 0.001). Perceived severity was positively associated with social distancing (p < 0.001). Traditional media exhibited indirect effects on COVID‐19 mitigation through increased response efficacy (ps < 0.05), and to a lesser extent self‐efficacy (p < 0.05), and on hurricane preparation through increased self‐efficacy and response efficacy and perceived susceptibility (ps < 0.05). Social media did not exhibit indirect effects on COVID‐19 or hurricane mitigation. Communications targeting efficacy and susceptibility may encourage mitigation behavior; research should explore how social media campaigns can more effectively target threat processing, guiding protective actions.
Control Design for a Marine Hydrokinetic Cycloturbine Vehicle
Authors: Goldschmidt Margalit Z. , Horn Joseph , Jonson Michael L. 
Published: October 2022

Abstract
Marine Hydrokinetic (MHK) cycloturbines generate sustainable power by exploiting tidal currents. By powering the turbines and using pitching foils for control, a vehicle comprised of MHK cycloturbines also has the ability to station keep and maneuver. The vehicle consists of four counter-rotating cycloturbines, with hydrofoils oriented perpendicular to the flow in a paddlewheel configuration. Lift and drag generated from these foils sum together to produce thrust. An experimentally tuned simulation model that solves the six-degrees-of-freedom rigid body equations of motion for the MHK vehicle subject to hydrodynamic, hydrostatic, and propulsive forces is used to aid the design of vehicle controllers. Global feedback controllers are initially designed by applying classical control methods to an approximate linear model of the system dynamics. A higher performing nonlinear controller is designed using the nonlinear dynamic inversion (NDI) method. NDI accounts for the nonlinearities of the MHK system and therefore is suitable for a wide range of operating conditions. The response of the classical and NDI controllers to speed, depth, roll, pitch, and yaw commands are evaluated and compared in simulation. The classical controller outperforms the NDI controller for small amplitude maneuvers, although the degradation with NDI is minor. However, in the nonlinear operating regime the NDI controller outperforms the classical controller and the classical controller exhibits instability.
A Machine Learning Approach to Predicting Unsteady Transonic Flow of Pitching Airfoils
Authors: Kaul Upender K. 
Published: October 2022

Abstract
A machine learning methodology has been proposed in this paper to study the unsteady transonic aerodynamics in the flutter regime. The methodology is based on a well-established regularization technique, and it compares very well with the data modeling approach proposed recently by the author in the prediction of the lift coefficient, cl, of NACA00 series airfoils over a range of reduced frequency. The present methodology has been extended to the prediction of the airfoil pitching moment coefficient, cpm, also. Just as in the case of the data model proposed earlier, the regularization-based machine learning model is trained on a subset of the considered reduced frequency range and a subset of the NACA00 series airfoils. The model predictions are in good agreement with the computational fluid dynamics (CFD) results, in the reduced frequency range for the selected test NACA00 profiles including those with a thickness typical of supercritical wing sections. The machine learning methodology presented here represents a new technology that can be used in the prediction of transonic flutter aerodynamics of wings using a strip theory approach. This new approach can be coupled with a simple finite element model such as a beam element model offering a rapidly implementable aeroelastic framework for the design of new transonic wings.
Ammonia Slip Estimation Based on Ammonia Slip Catalyst Control-Oriented Modeling and On-Board Diagnostics NOX Sensor Cross-Sensitivity Analysis
Authors: Piqueras Pedro , Pla Benjamín , Sanchis Enrique José , Aronis André 
Published: October 2022

AbstractThe incoming emission regulations for internal combustion engines are gradually introducing new pollutant species, which require greater complexity of the aftertreatment systems concerning layout, control, and diagnostics. This is the case of ammonia, which is injected into the exhaust gas through urea injections for NOx abatement in selective catalytic reduction (SCR) systems and can also be generated in three-way catalysts. However, ammonia slip requires its oxidation on a dedicated ammonia slip catalyst (ASC). The set composed of the urea injection system, SCR, and ASC requires control tools to ensure high NOx conversion efficiency and compliant ammonia slip under real driving conditions. These tasks are based on the use of NOx sensors ZrO2 pumping cell-based, which has the disadvantage of high cross-sensitivity to ammonia that can affect the measurement of NOx and compromise the SCR-ASC control strategies. The present work proposes a methodology to predict ammonia and NOx tailpipe emissions. For this purpose, a control-oriented ASC model was developed to use its ammonia slip prediction to determine the cross-sensitivity correction of the tailpipe NOx sensor. The model is based on a simplified solution of the transport equations of the species involved in the ASC reaction mechanism. The model was calibrated using steady- and quasi-steady-state tests performed in a Euro 6c engine. Finally, the performance of the proposed methodology to predict NOx and ammonia emissions was evaluated against experimental data corresponding to worldwide harmonized light vehicles test cycles (WLTC) applying different urea dosing strategies.
Lagoon infilling by coral reef sand aprons as a proxy for carbonate sediment productivity
Authors: Vila-Concejo Ana , Hamylton Sarah M. , Webster Jody M. , Duce Stephanie J. , Fellowes Thomas E. 
Published: October 2022

AbstractSand aprons are distinctive landforms that offer important insights into sedimentary dynamics for reef platform development. Here we link temporal and spatial scales of 21 sand aprons in the southern Great Barrier Reef to understand their Holocene formation and evolution in response to relative sea-level changes, the depth of the Pleistocene base, and contemporary morphodynamics. Our results show that lagoon infilling is a function of reef size and is a self-limiting process controlled by hydrodynamics and relative sea-level changes. Lagoon infilling does not depend on the type of reef or degree of exposure to waves, but it could reflect past wave climates. Our carbonate productivity estimates based on lagoon infilling are remarkably similar to those inferred from habitat classification. Finally, we hypothesize that current carbonate productivity has slowed because of the effects of climate change.
Constraining the nuclear spin distribution using improved $$^{197}$$Au neutron resonance parameters
Authors: Koehler P. E. , Ullmann J. L. , Couture A. J. , Mosby S. M. 
Published: October 2022

AbstractNew neutron transmission data at resonance energies using a $$^{197}$$

197

Au sample were measured using an early version of the Device for Indirect Capture Experiments on Radionuclides (DICER), which is under development at the Los Alamos Neutron Science Center (LANSCE). These data were combined with previous neutron transmission and capture data in a simultaneous R-matrix analysis to extract improved neutron resonance parameters for this nuclide. As a result, total radiation widths, $$\varGamma _{\gamma }$$

Γ
γ

, were obtained for 33 $$J=1$$

J
=
1

and 44 $$J=2$$

J
=
2

$$^{197}$$

197

Au+n resonances. $$\varGamma _{\gamma }$$

Γ
γ

distributions for these two spins states were compared to distributions calculated according to the nuclear statistical model using published nuclear level density (NLD) and photon strength functions (PSF) measured using the Oslo technique. The calculated distributions were found to be narrower and the average values for the two spins states closer together than the data. The calculation can be brought into agreement with the data by substantial modifications to the spin distribution in $$^{198}$$

198

Au as a function of excitation energy. As far as we know, the spin distribution currently is otherwise poorly constrained. The modified spin distribution changes the shapes of the NLD and PSF extracted using the Oslo technique and so could have broad implications.
Recurrence flow measure of nonlinear dependence
Authors: Braun Tobias , Kraemer K. Hauke , Marwan Norbert 
Published: October 2022

AbstractCouplings in complex real-world systems are often nonlinear and scale dependent. In many cases, it is crucial to consider a multitude of interlinked variables and the strengths of their correlations to adequately fathom the dynamics of a high-dimensional nonlinear system. We propose a recurrence-based dependence measure that quantifies the relationship between multiple time series based on the predictability of their joint evolution. The statistical analysis of recurrence plots (RPs) is a powerful framework in nonlinear time series analysis that has proven to be effective in addressing many fundamental problems, e.g., regime shift detection and identification of couplings. The recurrence flow through an RP exploits artifacts in the formation of diagonal lines, a structure in RPs that reflects periods of predictable dynamics. Using time-delayed variables of a deterministic uni-/multivariate system, lagged dependencies with potentially many time scales can be captured by the recurrence flow measure. Given an RP, no parameters are required for its computation. We showcase the scope of the method for quantifying lagged nonlinear correlations and put a focus on the delay selection problem in time-delay embedding which is often used for attractor reconstruction. The recurrence flow measure of dependence helps to identify non-uniform delays and appears as a promising foundation for a recurrence-based state space reconstruction algorithm.
Exploiting Ligand-binding Domain Dimerization for Development of Novel Androgen Receptor Inhibitors
Authors: Helsen Christine , Nguyen Tien T. , Lee Xiao Yin , Eerlings Roy , Louros Nikolaos , Schymkowitz Joost , Rousseau Frederic , Claessens Frank , Voet Arnout 
Published: October 2022

Abstract
Currently, all clinically used androgen receptor (AR) antagonists target the AR ligand-binding pocket and inhibit T and dihydrotestosterone (DHT) binding. Resistance to these inhibitors in prostate cancer frequently involves AR-dependent mechanisms resulting in a retained AR dependence of the tumor. More effective or alternative AR inhibitors are therefore required to limit progression in these resistant stages. Here, we applied the structural information of the ligand-binding domain (LBD) dimerization interface to screen in silico for inhibitors. A completely new binding site, the Dimerisation Inhibiting Molecules (DIM) pocket, was identified at the LBD dimerization interface. Selection of compounds that fit the DIM pocket via virtual screening identified the DIM20 family of compounds which inhibit AR transactivation and dimerization of the full-length AR as well as the isolated LBDs. Via biolayer interferometry, reversible dose-dependent binding to the LBD was confirmed. While DIM20 does not compete with 3H-DHT for binding in the LBP, it limits the maximal activity of the AR indicative of a noncompetitive binding to the LBD. DIM20 and DIM20.39 specifically inhibit proliferation of AR-positive prostate cancer cell lines, with only marginal effects on AR-negative cell lines such as HEK 293 and PC3. Moreover, combination treatment of DIM compounds with enzalutamide results in synergistic antiproliferative effects which underline the specific mechanism of action of the DIM compounds.
Prognostic Impact of Nutritional Status After Transcatheter Edge‐to‐Edge Mitral Valve Repair: The MIVNUT Registry
Authors: Caneiro‐Queija Berenice , Raposeiras‐Roubin Sergio , Adamo Marianna , Freixa Xavier , Arzamendi Dabit , Benito‐González Tomas , Montefusco Antonio , Pascual Isaac , Nombela‐Franco Luis , Rodes‐Cabau Josep , Shuvy Mony , Portolés‐Hernández Antonio , Godino Cosmo , Haberman Dan , Lupi Laura , Regueiro Ander , Li Chin Hion , Fernández‐Vázquez Felipe , Frea Simone , Avanzas Pablo , Tirado‐Conte Gabriela , Paradis Jean‐Michel , Peretz Alona , Moñivas Vanessa , Baz Jose A. , Galasso Michele , Branca Luca , Sanchís Laura , Asmarats Lluís , Garrote‐Coloma Carmen , Angelini Filippo , León Victor , de Agustín José A. , Alperi Alberto , Beeri Ronen , Maccagni Gloria , Sabaté Manel , Fernández‐Peregrina Estefanía , Gualis Javier , Bocchino Pier Paolo , Curello Salvatore , Íñiguez‐Romo Andrés , Estévez‐Loureiro Rodrigo 
Published: October 2022

Background
Malnutrition is associated with poor prognosis in several cardiovascular diseases. However, its prognostic impact in patients undergoing transcatheter edge‐to‐edge mitral valve repair (TEER) is not well known. This study sought to assess the prevalence, clinical associations, and prognostic consequences of malnutrition in patients undergoing TEER.

Methods and Results

A total of 892 patients undergoing TEER from the international MIVNUT (Mitral Valve Repair and Nutritional Status) registry were studied. Malnutrition status was assessed with the Controlling Nutritional Status score. The association of nutritional status with mortality was analyzed with multivariable Cox regression models, whereas the association with heart failure admission was assessed by Fine‐Gray models, with death as a competing risk. According to the Controlling Nutritional Status score, 74.4% of patients with TEER had any degree of malnutrition at the time of TEER (75.1% in patients with body mass index <25 kg/m
2
, 72.1% in those with body mass index ≥25 kg/m
2
). However, only 20% had moderate–severe malnutrition. TEER was successful in most of patients (94.2%). During a median follow‐up of 1.6 years (interquartile range, 0.6–3.0), 267 (29.9%) patients died and 256 patients (28.7%) were admitted for heart failure after TEER. Compared with normal nutritional status moderate–severe malnutrition resulted a strong predictor of mortality (adjusted hazard ratio [HR], 2.1 [95% CI, 1.1–2.4];
P
<0.001) and heart failure admission (adjusted subdistribution HR, 1.6 [95% CI, 1.1–2.4];
P
=0.015).

Conclusions
Malnutrition is common among patients submitted to TEER, and moderate–severe malnutrition is strongly associated with increased mortality and heart failure readmission. Assessment of nutritional status in these patients may help to improve risk stratification.
The Spring Minimum in Subseasonal 2-m Temperature Forecast Skill over North America
Authors: Breeden Melissa L. , Albers John R. , Butler Amy H. , Newman Matthew 
Published: October 2022

Abstract
On average, 2-m temperature forecasts over North America for lead times greater than two weeks have generally low skill in operational dynamical models, largely because of the chaotic, unpredictable nature of daily weather. However, for a small subset of forecasts, more slowly evolving climate processes yield some predictable signal that may be anticipated in advance, occasioning “forecasts of opportunity.” Forecasts of opportunity evolve seasonally, since they are a function of the seasonally varying jet stream and various remote forcings such as tropical heating. Prior research has demonstrated that for boreal winter, an empirical dynamical modeling technique called a linear inverse model (LIM), whose forecast skill is typically comparable to operational forecast models, can successfully identify forecasts of opportunity both for itself and for other dynamical models. In this study, we use a set of LIMs to examine how subseasonal North American 2-m temperature potential predictability and forecasts of opportunity vary from boreal winter through summer. We show how LIM skill evolves during the three phases of the spring transition of the North Pacific jet—late winter, spring, and early summer—revealing clear differences in each phase and a distinct skill minimum in spring. We identify a subset of forecasts with markedly higher skill in all three phases, despite LIM temperature skill that is somewhat low on average. However, skill improvements are only statistically significant during winter and summer, again reflecting the spring subseasonal skill minimum. The spring skill minimum is consistent with the skill predicted from theory and arises due to a minimum in LIM forecast signal-to-noise ratio.
Minimal information for reporting a genomics experiment
Authors: Dreval Kostiantyn , Boutros Paul C. , Morin Ryan D. 
Published: October 2022

Abstract
Exome and genome sequencing has facilitated the identification of hundreds of genes and other regions that are recurrently mutated in hematologic neoplasms. The data sets from these studies theoretically provide opportunities. Quality differences between data sets can confound secondary analyses. We explore the consequences of these on the conclusions from some recent studies of B-cell lymphomas. We highlight the need for a minimum reporting standard to increase transparency in genomic research.