bluuebunny/crossref_metadata_2025_split huggingface dataset:
Epigenetic age acceleration is associated with speed of pubertal growth but not age of pubertal onset
Authors: Kim Catherine , Harrall Kylie K. , Glueck Deborah H. , Hockett Christine , Dabelea Dana 
Published: February 2024

AbstractUsing data from a longitudinal cohort of children, we examined whether epigenetic age acceleration (EAA) was associated with pubertal growth and whether these associations were mediated by adiposity. We examined associations between EAA at approximately 10 years of age with pubertal growth metrics, including age at peak height velocity (PHV), PHV, and sex steroid levels and whether these associations were mediated by measures of adiposity including body mass index (BMI) and MRI-assessed visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT). Children (n = 135) with accelerated EAA had higher PHV (β 0.018, p = 0.0008) although the effect size was small. The association between EAA and age at PHV was not significant (β  − 0.0022, p = 0.067). Although EAA was associated with higher BMI (β 0.16, p = 0.0041), VAT (β 0.50, p = 0.037), and SAT (β 3.47, p = 0.0076), BMI and VAT did not mediate associations between EAA and PHV, while SAT explained 8.4% of the association. Boys with higher EAA had lower total testosterone (β  − 12.03, p = 0.0014), but associations between EAA and other sex steroids were not significant, and EAA was not associated with sex steroid levels in girls. We conclude that EAA did not have strong associations with either age at onset of puberty or pubertal growth speed, although associations with growth speed were statistically significant. Studies with larger sample sizes are needed to confirm this pattern of associations.
Biofluorescent response in lumpfish Cyclopterus lumpus to a therapeutic stressor as assessed by hyperspectral imaging
Authors: Juhasz-Dora Thomas , Lindberg Stein-Kato , Karlsen Amanda , Ortega Samuel 
Published: February 2024

AbstractThe demand for lumpfish (Cyclopterus lumpus) as a biological control for salmon lice is increasing. However, lumpfish welfare is considered a limiting factor within aquaculture operations. Identifying a noninvasive parameter that measures subclinical stress in lumpfish is a key goal for improving their welfare. The lumpfish is documented to emit green and red biofluorescence within the blue shifted light of their environment. Here we show that lumpfish fluorescence responds to a therapeutic stressor within a controlled experiment. Lumpfish (n = 60) underwent a 3-h freshwater bath therapeutant to evaluate whether fluorescence spectra produced by the species respond to external stimuli. Lumpfish were quickly scanned under a hyperspectral camera (400–1000 nm spectral range) prior to and after treatment. The lumpfish were randomly divided into 3 groups with identical treatment. All groups increased fluorescence emissions, though the level of change depended on whether the averaged, red, or green spectra were analyzed; the control group (n = 20) remained constant. All lumpfish emitted green fluorescence (~ 590–670 nm) while a portion (49%) produced red fluorescence (~ 690–800 nm). As lumpfish fluorescence shifts in response to the applied stressor, this study provides insight into how fluorescence may be incorporated into the welfare management of lumpfish.
Arabidopsis COP1 guides stomatal response in guard cells through pH regulation
Authors: Cha Seoyeon , Min Wang Ki , Seo Hak Soo 
Published: February 2024

AbstractPlants rely on precise regulation of their stomatal pores to effectively carry out photosynthesis while managing water status. The Arabidopsis CONSTITUTIVE PHOTOMORPHOGENIC 1 (COP1), a critical light signaling repressor, is known to repress stomatal opening, but the exact cellular mechanisms remain unknown. Here, we show that COP1 regulates stomatal movement by controlling the pH levels in guard cells. cop1-4 mutants have larger stomatal apertures and disrupted pH dynamics within guard cells, characterized by increased vacuolar and cytosolic pH and reduced apoplastic pH, leading to abnormal stomatal responses. The altered pH profiles are attributed to the increased plasma membrane (PM) H+-ATPase activity of cop1-4 mutants. Moreover, cop1-4 mutants resist to growth defect caused by alkali stress posed on roots. Overall, our study highlights the crucial role of COP1 in maintaining pH homeostasis of guard cells by regulating PM H+-ATPase activity, and demonstrates how proton movement affects stomatal movement and plant growth.
Winter snow deficit was a harbinger of summer 2022 socio-hydrologic drought in the Po Basin, Italy
Authors: Avanzi Francesco , Munerol Francesca , Milelli Massimo , Gabellani Simone , Massari Christian , Girotto Manuela , Cremonese Edoardo , Galvagno Marta , Bruno Giulia , Morra di Cella Umberto , Rossi Lauro , Altamura Marco , Ferraris Luca 
Published: February 2024

AbstractSnow in mountainous regions is a key water resource from local to continental scales. However, the link between increasingly frequent snow droughts and socio-hydrologic impacts from headwaters to lowlands is not fully understood. To untangle this relationship, here we combine snow and climate reanalyses with a range of data of terrestrial water storage, streamflow, and emergency water-use restrictions for the archetypal 2022 snow drought in the Po basin (Italy). We find that a persistent high-pressure ridge during winter 2021–2022 translated into a −88% anomaly in peak snow water equivalent, intraseasonal snowmelt, and earlier melt-out dates. Compounded by reduced summer precipitation and importantly increased temperatures, this snow deficit led to the lowest terrestrial water storage on record in summer 2022. Emergency water-use restrictions were concurrent with the peak in snowmelt deficit in early summer, rather than the peak in precipitation deficit in mid-winter. This study highlights the contribution of snowmelt deficit in driving the 2022 socio-hydrologic drought in the Po Basin.
Direction‐of‐arrival estimation in coprime linear array using three uniform linear arrays considering mutual coupling
Authors: Zhang Jin , Xu Haiyun , Ba Bin , Wang Jianhui , Jian Chunxiao 
Published: February 2024

AbstractNowadays, sparse arrays have been a focus for direction‐of‐arrival (DOA). The existing arrays can achieve high degree of freedom (DOF) bigger than the number of sensors when using the spatial smoothing methods. However, the small inter‐element spacing degrades the DOA estimation accuracy when facing severe mutual coupling. In order to alleviate mutual coupling, a coprime linear array using three uniform linear arrays (CLA‐U3) is proposed. The expression of sensor locations is given, and the analysis of DOF is considered. The minimum subarray inter‐element spacing in CLA‐U3 is bigger than that of the existing arrays, which means that CLA‐U3 can be less sensitive to mutual coupling. Moreover, the difference co‐subarrays can fill each other's holes, so CLA‐U3 and other sparse arrays composed of three subarrays have close DOF. Simulation experiments prove the favourable performance of DOA estimation.
Political embeddedness and corporate social responsibility (CSR) in a state-led developing country: evidence from China
Authors: Li Jiarong , Sasaki Masato 
Published: February 2024

AbstractIn many countries, the government plays a regulative role in corporate social responsibility (CSR) as an external overseer of economic and public market sectors. However, owing to the politically embedded nature of extensive corporations in China, the government's influence over CSR is not only exogenous but may even endogenously shape the general scope of CSR of companies in comparison to the West. To date, this has not been extensively examined. We explore this from the standpoint of the scope of beneficiaries and CSR domains, which accurately depict the welfare effects of business in developing countries. Based on a resource dependence perspective, we conduct a quantitative content analysis on a sample of 160 Chinese listed companies and developed a two-level model of political embeddedness. The results show a complex interaction between politics and business, revealing the opposing influence of political embeddedness at different levels.
RETRACTED ARTICLE: From storefront to screen: an in-depth analysis of the dynamics of online for offline retailing
Authors: Jo Hyeon , Bang Youngsok 
Published: February 2024

AbstractWithin the rapidly changing online sphere, the significance of online for offline (O4O) commerce platforms in directing consumer choices is evident. The purpose of this research is to examine the factors that influence consumer shopping motives within the context of O4O commerce. The value of this study lies in its enhancement of our understanding of how various factors within the O4O model impact consumer decision-making processes. This offers significant insights for businesses and marketers, enabling them to strategize more effectively for customer engagement and retention. The study analyzed a dataset of 272 consumers who were familiar with O4O platforms, utilizing the Partial Least Squares Structural Equation Modeling (PLS-SEM) methodology, specifically conducted through the SmartPLS software program. The results revealed that effort expectancy has a connection with continuance intention but remains unrelated to shopping intention. In contrast, performance expectancy was influential in both continuance and shopping intentions. Social influence showed a strong relationship with continuance intention, yet lacked significance with shopping intention. Facilitating conditions primarily directed continuance intention, without influencing shopping intention. The study also validated the relationship between continuance intention and shopping intention, highlighting innovativeness as a key moderator in the bond between social influence and continuance intention. These insights offer valuable perspectives for industry professionals, elucidating factors that drive consumer interactions on O4O commerce platforms.
Dosimetric parameters calculation for 18 MV photon beam in flattening filter (FF) and flattening filter free (FFF) linear accelerators with and without magnetic deflector and lead filter
Authors: Hashemizadeh Morteza , Zabihzadeh Mansour , Shahbazian Hojatollah , Fatahi-Asl Jafar , Reshadatian Marziyeh 
Published: February 2024

Abstract
Dosimetric characteristics of the flattening filter (FF) and flattening filter free (FFF) modes of 18 MV therapeutic photon beam were investigated with and without the magnetic deflector (MD) and lead filter. MCNP version 6.1.0 Monte Carlo (MC) code was used to simulate the 18 MV photon beam of 2100 C/D-Varian linear accelerator (LINAC) for the FF and FFF modes. The MD (uniform magnetic flux density of 1 Tesla) and lead filter (thickness of 1 mm) were modeled to remove contaminant electrons. The dosimetric parameters for different scenarios of LINAC’s head were calculated. Removing the flattening filter in the FFF mode increased the dose rate, electron contamination, skin dose, out-of-field dose, and un-flatness compared to the FF mode. While the lead filter decreased the contaminant electrons significantly, using the MD removed all secondary electrons from the beam line. The surface dose was decreased by 8.3% and 11.2% for the magnetic deflector (MD) and lead filter in the FF mode, respectively. The surface dose was decreased by 16.8% and 20.3% for the MD and lead filter scenarios in the FFF mode, respectively. The MD and lead filter decreased surface penumbra by 15.5% and 11.5% compared to the FFF mode. Removing the flattening filter from the LINAC’s head improves most of the dosimetric characteristics of the 18MV therapeutic beam. The use of a lead filter and magnetic deflector preserves the skin-sparing property of megavoltage beams that deteriorate in FFF mode. However, using a magnetic deflector does not reduce photon fluence and dose rate.
Detection of cardiac abnormalities from 12-lead ecg using complex wavelet sub-band features
Authors: Mondal Sourav , Choudhary Prakash , Rathee Priyanka 
Published: February 2024

Abstract
Aim of the study. This research endeavours to optimize cardiac anomaly detection by introducing a method focused on selecting the most effective Daubechis wavelet families. The principal aim is to differentiate between cardiac states that are normal and abnormal by utilizing longer electrocardiogram (ECG) signal events based on the Apnea ECG dataset. Apnea ECG is often used to detect sleep apnea, a sleep disorder characterized by repeated interruptions in breathing during sleep. By using machine learning methods, such as Principal Component Analysis (PCA) and different classifiers, the goal is to improve the precision of cardiac irregularity identification. Used method. To extract important statistical and sub-band information from lengthy ECG signal episodes, the study uses a novel method that combines discrete wavelet transform with Principal Component Analysis (PCA) for dimension reduction. The methodology focuses on successfully categorizing ECG signals by utilizing several classifiers, including multilayer perceptron (MLP) neural network, Ensemble Subspace K-Nearest Neighbour(KNN), and Ensemble Bagged Trees, together with varied Daubechis wavelet families (db2, db3, db4, db5, db6). Brief Description of Results. The results emphasize the importance of the chosen Daubechis wavelet family, db5, and its superiority in ECG representation. The method distinguishes normal and abnormal ECG signals well on the Physionet Apnea ECG database. The Neural Network-based method accurately recognizes 100% of healthy signals and 97.8% of problematic ones with 98.6% accuracy. Findings. The Ensemble Subspace K-Nearest Neighbour (KNN) and Ensemble Bagged Trees methods got 87.1% accuracy and 0.89 and 0.87 AOC curve values on this dataset, showing that the method works. Precision values of 0.96, 0.86, and 0.86 for MLP Neural Network, KNN Subspace, and Ensemble Bagged Trees confirm their robustness. These findings suggest wavelet families and machine learning can improve cardiac abnormality detection and categorization.
Penetration of topically applied polymeric nanoparticles across the epidermis of thick skin from rat
Authors: Antony Andrea , Raju Gayathri , Job Ahina , Joshi Meet , Shankarappa Sahadev 
Published: February 2024

Abstract
The barrier function of the epidermis poses a significant challenge to nanoparticle-mediated topical delivery. A key factor in this barrier function is the thickness of the stratum corneum (SC) layer within the epidermis, which varies across different anatomical sites. The epidermis from the palms and soles, for instance, have thicker SC compared to those from other areas. Previous studies have attempted to bypass the SC layer for nanoparticle penetration by using physical disruption; however, these studies have mostly focused on non-thick skin. In this study, we investigate the role of SC-disrupting mechano-physical strategies (tape-stripping and microneedle abrasion) on thick and thin skin, in allowing transdermal penetration of topically applied nanoparticles using an ex-vivo skin model from rat. Our findings show that tape-stripping reduced the overall thickness of SC in thick skin by 87%, from 67.4 ± 17.3 μm to 8.2 ± 8.5 μm, whereas it reduced thin skin SC by only 38%, from 9.9 ± 0.6 μm to 6.2 ± 3.2 μm. Compared to non-thick skin, SC disruption in thick skin resulted in higher nanoparticle diffusion. Tape-stripping effectively reduces SC thickness of thick skin and can be potentially utilized for enhanced penetration of topically applied nanoparticles in skin conditions that affect thick skin.
Reliability assessment of ship hull girders considering pitting corrosion and crack
Authors: Ahmadi Farzaneh , Ranji Ahmad Rahbar 
Published: February 2024

Abstract
The current study aims to investigate the combined effect of cracking and pitting damage on the ultimate strength of ships. The well-known Smith’s approach is modified considering the random number and distribution of cracked-pitted plates in the ship cross-section. Using the Monte Carlo approach, the structural reliability index of the cracked-pitted ship is determined. A single-bottom oil tanker’s ultimate strength is computed, and it turns out that the reliability indices for various damage scenarios are nearly identical when the ship is at its early age. When the ship ages, its reliability index rises to its maximum if the damage is concentrated at the bottom under sagging conditions and at the sides and longitudinal bulkheads in hogging conditions. The reliability indices in the hogging conditions are often greater than those in the sagging conditions. Furthermore, it is determined that, while the ship is at its early age, the detrimental effect of pitting, cracking, or a combination of both on the reduction of the ship’s hull girder ultimate strength is equal. The lowest reliability index is seen in aged ships when cracking and pitting are combined, followed by cracking and pitting damage separately. It is shown that pitting corrosion has a lower reliability index than the general type of corrosion.
Deep learning cosmic ray transport from density maps of simulated, turbulent gas
Authors: Bustard Chad , Wu John 
Published: February 2024

Abstract
The coarse-grained propagation of galactic cosmic rays (CRs) is traditionally constrained by phenomenological models of Milky Way CR propagation fit to a variety of direct and indirect observables; however, constraining the fine-grained transport of CRs along individual magnetic field lines—for instance, diffusive vs streaming transport models—is an unsolved challenge. Leveraging a recent training set of magnetohydrodynamic turbulent box simulations, with CRs spanning a range of transport parameters, we use convolutional neural networks (CNNs) trained solely on gas density maps to classify CR transport regimes. We find that even relatively simple CNNs can quite effectively classify density slices to corresponding CR transport parameters, distinguishing between streaming and diffusive transport, as well as magnitude of diffusivity, with class accuracies between 92% and 99%. As we show, the transport-dependent imprints that CRs leave on the gas are not all tied to the resulting density power spectra: classification accuracies are still high even when image spectra are flattened (85%–98% accuracy), highlighting CR transport-dependent changes to turbulent phase information. We interpret our results with saliency maps and image modifications, and we discuss physical insights and future applications.
The Early Years of Congress’s Anti-Removal Power
Authors: Nielson Aaron L , Walker Christopher J 
Published: February 2024

Abstract
Judges and scholars have long debated whether the Constitution provides the president with a power to remove executive officials. The Constitution, however, undoubtedly gives Congress tools to discourage the president’s use of such power. Perhaps most notably, the Appointments Clause makes it more difficult for the president to remove principal officers—even those whose views are out of the step with the president’s—because the president cannot know whether the Senate will consent to a preferred replacement. This is an example of what is dubbed Congress’s anti-removal power: Even if the president can remove, a motivated Congress can discourage the president’s use of that power. In ‘Congress’s Anti-Removal Power’, we used game theory to show why anti-removal tools are effective—viz., they increase the costs of presidential removal, resulting in less of it—and argued that such tools have been a longstanding feature of interbranch relations. This article focuses on the founding era to argue that Congress’s anti-removal power not only comports with the Constitution’s language, but is also a deliberate feature of the constitutional bargain. Not only did James Madison and Alexander Hamilton bless anti-removal tools, but early Congresses enacted statutes that discouraged removal. While the question of presidential removal attracted debate in the first Congress, the same does not appear to be true for these anti-removal features. The article thus concludes—in the spirit of dogs that do not bark—that Congress’s use of its anti-removal power finds support in both the Constitution’s text and founding-era thought and practice.
Traumatic ischaemic cardiomyopathy in a 27-year-old: a case report
Authors: Pastapur Aishwarya E , Bitar Abbas , Wanamaker Brett L 
Published: February 2024

Abstract

Background
Coronary injury after blunt chest trauma is rare. This case illustrates the importance of evaluating for coronary injury after any episode of blunt chest wall trauma.

Case summary
We review the case of a 27-year-old male who presented with acutely decompensated heart failure several months after a motor vehicle accident with chest wall impact from the steering wheel. Coronary angiography demonstrated an occluded left anterior descending artery, and he was found to have a severe ischaemic cardiomyopathy. After multiple hospital and intensive care unit admissions due to multi-organ dysfunction and debility, he was unable to tolerate any guideline-directed medical therapy. He was unable to be listed for heart transplantation due to his co-morbidities, multi-system sequelae of his heart failure, deconditioning, and recent substance use. He was ultimately discharged home with hospice.

Conclusion
Coronary or other cardiac injuries should be considered in the evaluation of all patients after blunt chest wall trauma, regardless of prior risk factors for ischaemia.
Measures of Model Risk for Continuous-Time Finance Models
Authors: Lazar Emese , Qi Shuyuan , Tunaru Radu 
Published: February 2024

Abstract
Measuring model risk is required by regulators in financial and insurance markets. We separate model risk into parameter estimation risk (PER) and model specification risk (MSR), and we propose expected shortfall type model risk measures applied to Lévy jump, affine jump-diffusion, and multifactor models. We investigate the impact of PER and MSR on the models’ ability to capture the joint dynamics of stock and option prices. Using Markov chain Monte Carlo techniques, we implement two methodologies to estimate parameters under the risk-neutral probability measure and the real-world probability measure jointly.
Martingale posterior distributions
Authors: Fong Edwin , Holmes Chris , Walker Stephen G 
Published: February 2024

AbstractThe prior distribution is the usual starting point for Bayesian uncertainty. In this paper, we present a different perspective that focuses on missing observations as the source of statistical uncertainty, with the parameter of interest being known precisely given the entire population. We argue that the foundation of Bayesian inference is to assign a distribution on missing observations conditional on what has been observed. In the i.i.d. setting with an observed sample of size n, the Bayesian would thus assign a predictive distribution on the missing Yn+1:∞ conditional on Y1:n, which then induces a distribution on the parameter. We utilize Doob’s theorem, which relies on martingales, to show that choosing the Bayesian predictive distribution returns the conventional posterior as the distribution of the parameter. Taking this as our cue, we relax the predictive machine, avoiding the need for the predictive to be derived solely from the usual prior to posterior to predictive density formula. We introduce the martingale posterior distribution, which returns Bayesian uncertainty on any statistic via the direct specification of the joint predictive. To that end, we introduce new predictive methodologies for multivariate density estimation, regression and classification that build upon recent work on bivariate copulas.