bluuebunny/crossref_metadata_2025_split huggingface dataset:
The interaction between equity-based compensation and debt in managerial risk choices
Authors: Glória Carlos Miguel , Dias José Carlos , Ruas João Pedro , Nunes João Pedro Vidal 
Published: August 2024

AbstractThis paper examines the risk incentives of traditional and non-traditional call options in the context of a levered firm where managers under-invest due to risk aversion. Our results contrast with those presented in the literature inasmuch as lookback calls do not always induce higher risk taking than regular calls, and managers always prefer a combination of regular calls and shares of stock in their compensation package as opposed to only company shares. We also show that Asian options outperform both plain-vanilla and other nonstandard options in inducing higher risk taking and, thereby, are a superior remedy for alleviating the agency costs of deviating from the optimal volatility level. Finally, we shed new insights that better clarify the incorrect arguments found in the literature regarding the delta of regular and lookback calls.
Evolution of Cu and Zn speciation in agricultural soil amended by digested sludge over time and repeated crop growth
Authors: Feng Jianting , Burke Ian T. , Chen Xiaohui , Stewart Douglas I. 
Published: August 2024

Abstract
Metals such as Zn and Cu present in sewage sludge applied to agricultural land can accumulate in soils and potentially mobilise into crops. Sequential extractions and X-ray absorption spectroscopy results are presented that show the speciation changes of Cu and Zn sorbed to anaerobic digestion sludge after mixing with soils over three consecutive 6-week cropping cycles, with and without spring barley (Hordeum vulgare). Cu and Zn in digested sewage sludge are primarily in metal sulphide phases formed during anaerobic digestion. When Cu and Zn spiked sludge was mixed with the soil, about 40% of Cu(I)-S phases and all Zn(II)-S phases in the amended sludge were converted to other phases (mainly Cu(I)-O and outer sphere Zn(II)-O phases). Further transformations occurred over time, and with crop growth. After 18 weeks of crop growth, about 60% of Cu added as Cu(I)-S phases was converted to other phases, with an increase in organo-Cu(II) phases. As a result, Cu and Zn extractability in the sludge-amended soil decreased with time and crop growth. Over 18 weeks, the proportions of Cu and Zn in the exchangeable fraction decreased from 36% and 70%, respectively, in freshly amended soil, to 28% and 59% without crop growth, and to 24% and 53% with crop growth. Overall, while sewage sludge application to land will probably increase the overall metal concentrations, metal bioavailability tends to reduce over time. Therefore, safety assessments for sludge application in agriculture should be based on both metal concentrations present and their specific binding strength within the amended soil.
Terbium- and samarium-doped Li2ZrO3 perovskite materials as efficient and stable electrocatalysts for alkaline hydrogen evolution reactions
Authors: Monama Gobeng R. , Ramoroka Morongwa E. , Ramohlola Kabelo E. , Seleka Marema W. , Iwuoha Emmanuel I. , Modibane Kwena D. 
Published: August 2024

AbstractThe preparation of highly active, rare earth, non-platinum-based catalysts for hydrogen evolution reactions (HER) in alkaline solutions would be useful in realizing green hydrogen production technology. Perovskite oxides are generally regarded as low-active HER catalysts, owing to their unsuitable hydrogen adsorption and water dissociation. In this article, we report on the synthesis of Li2ZrO3 perovskites substituted with samarium and terbium cations at A-sites for the HER. LSmZrO3 (LSmZO) and LTbZrO3 (LTbZO) perovskite oxides are more affordable materials, starting materials in abundance, environmentally friendly due to reduced usage of precious metal and moreover have potential for several sustainable synthesis methods compared to commercial Pt/C. The surface and elemental composition of the prepared materials have been confirmed by X-ray photoelectron spectroscopy (XPS). The morphology and composition analyses of the LSmZO and LTbZO catalysts showed spherical and regular particles, respectively. The electrochemical measurements were used to study the catalytic performance of the prepared catalyst for hydrogen evolution reactions in an alkaline solution. LTbZO generated 2.52 mmol/g/h hydrogen, whereas LSmZO produced 3.34 mmol/g/h hydrogen using chronoamperometry. This was supported by the fact that the HER electrocatalysts exhibited a Tafel slope of less than 120 mV/dec in a 1.0 M alkaline solution. A current density of 10 mA/cm2 is achieved at a potential of less than 505 mV. The hydrogen production rate of LTbZO was only 58.55%, whereas LSmZO had a higher Faradaic efficiency of 97.65%. The EIS results demonstrated that HER was highly beneficial to both electrocatalysts due to the relatively small charge transfer resistance and higher capacitance values.
Characterization of fault-karst reservoirs based on deep learning and attribute fusion
Authors: Gui Zhipeng , Zhang Junhua , Zhang Yintao , Sun Chong 
Published: August 2024

AbstractThe identification of fault-karst reservoir is crucial for the exploration and development of fault-controlled oil and gas reservoirs. Traditional methods primarily rely on well logging and seismic attribute analysis for karst cave identification. However, these methods often lack the resolution needed to meet practical demands. Deep learning methods offer promising solutions by effectively overcoming the complex response characteristics of seismic wave fields, owing to their high learning capabilities. Therefore, this research proposes a method for fault-karst reservoir identification. Initially, a comparative analysis between the improved U-Net++ network and traditional deep convolutional networks is conducted to select appropriate training parameters for separate training of karst caves and faults. Subsequently, the trained models are applied to actual seismic data to predict karst caves and faults within the research area, followed by attribute fusion to acquire data on fault-karst reservoirs. The results indicate that: (1) The proposed method effectively identifies karst caves and faults, outperforming traditional seismic attribute and coherence methods in terms of identification accuracy, and slightly surpassing U-Net and FCN; (2) The fusion of predicted karst caves and faults yields clear delineation of the relationship between top karst caves and bottom fractures within the research area. In summary, the proposed method for fault-karst reservoirs identification and characterization provides valuable insights for the exploration and development of fault-controlled oil and gas reservoirs in the region.
NMR-based solution structure of the Caulobacter crescentus ProXp-ala trans-editing enzyme
Authors: Duran Antonia D. , Danhart Eric M. , Ma Xiao , Nagy Alexandra B. Kuzmishin , Musier-Forsyth Karin , Foster Mark P. 
Published: August 2024

AbstractProXp-ala is a key component of the translational machinery in all three Domains of life. This enzyme helps to maintain the fidelity of proline codon translation through aminoacyl-tRNAPro proofreading. In the first step of tRNA aminoacylation, the cognate aminoacyl-tRNA synthetase (aaRS) binds and activates an amino acid in the enzyme’s synthetic active site. If a non-cognate amino acid passes this first selection step and is charged onto the tRNA, a distinct aaRS editing active site may recognize the mischarged tRNA and deacylate it. Alternatively, this editing reaction may be carried out by a separate enzyme that deacylates the mischarged tRNA in trans. ProXp-ala is responsible for editing Ala mischarged onto tRNAPro. Since trans-editing domains such as ProXp-ala bind their substrates after release from the synthetase, they must recognize not only the mischarged amino acid, but also the specific tRNA. Previous studies showed that Caulobacter crescentus (Cc) ProXp-ala distinguishes tRNAPro from tRNAAla, in part, based on the unique tRNAPro acceptor stem base pair C1:G72. Previous crystallographic and NMR data also revealed a role for conformational selection by the ProXp-ala α2 helix in Ala- versus Pro-tRNAPro substrate discrimination. The α2 helix makes lattice contacts in the crystal, which left some uncertainty as to its position in solution. We report resonance assignments for the substrate-free Cc ProXp-ala and the NMR-derived three-dimensional structure of the protein. These data reveal the position of the α2 helix in solution, with implications for substrate binding and recognition.
Uprising of the young generation: exploring the association between social mobility belief and political engagement intention among Hong Kong youth
Authors: Lin Li , Leung Janet Tsin Yee , Law Moon Yee Man 
Published: August 2024

AbstractCivic engagement, particularly political engagement, is an important aspect of youth development. In response to rising youth activism, this study examined what was related to youth’s emerging intention to engage in both normative (legal) and non-normative (illegal) political actions through the lens of social mobility beliefs. Based on the reports of college students in Hong Kong (N = 1,033), the findings revealed that social mobility belief regarding average people (i.e., societal belief) rather than that regarding oneself (i.e., personal belief) was negatively related to youth’s intention to engage in normative political action. Furthermore, parallel mediation analyses showed two indirect effects of social mobility beliefs after controlling for sociodemographic factors, post-materialistic values and political interest. Specifically, youth who endorsed a stronger societal social mobility belief tended to perceive lower social injustice, and they were then less willing to engage in normative and non-normative political actions. Additionally, those who endorsed a stronger societal social mobility belief tended to report higher external political efficacy, and they were then more willing to engage in normative political actions. The findings highlight the importance of considering youth’s worldviews in the theorization of the development of political attitudes and behaviors.
Long-term psychological implication of the COVID-19 pandemic: a network analysis among the Italian population
Authors: Cipriano Annarosa , Cavalera Cesare , Stabile Margherita , Cella Stefania 
Published: August 2024

AbstractThe enduring psychological impact of the COVID-19 pandemic is a subject of growing concern. Despite existing research highlighting immediate challenges, there is a lack of comprehensive studies elucidating specific pathways through which psychological variables contribute to the pandemic’s long-lasting implications. Through a network analysis approach, we aimed to investigate the mutual relationships and associations between eating disorder symptoms, guilt- and shame-proneness, psychopathological symptoms, self-esteem, defence mechanisms, and mentalization and understand how they might interact two years after the pandemic's outbreak. From March to August 2022, 651 Italian young adults (females = 593, 91.1%) aged between 18 and 38 (Mage = 23.84, SD = 3.74) were recruited online and completed a digital booklet of self-report questionnaires. A weighted, undirected graphical LASSO network was performed to investigate the structure of the nodes. A stable and accurate network structure showed that the most interconnected nodes were psychoticism, interpersonal sensitivity, obsessive-compulsive symptoms, depression, anxiety, paranoid ideation, and immature defences, suggesting their central role in the network functioning. Findings emphasized the enduring psychological impact of the pandemic, elucidating the complex interplay and dynamic impact of key psychopathological symptoms and defence mechanisms. The network tested also provides valuable insights for developing targeted interventions and effective strategies to address post-pandemic mental health challenges.
A data-driven mixed integer programming approach for joint chance-constrained optimal power flow under uncertainty
Authors: Qin James Ciyu , Jiang Rujun , Mo Huadong , Dong Daoyi 
Published: August 2024

Abstract
This paper introduces a novel mixed integer programming (MIP) reformulation for the joint chance-constrained optimal power flow problem under uncertain load and renewable energy generation. Unlike traditional models, our approach incorporates a comprehensive evaluation of system-wide risk without decomposing joint chance constraints into individual constraints, thus preventing overly conservative solutions and ensuring robust system security. A significant innovation in our method is the use of historical data to form a sample average approximation that directly informs the MIP model, bypassing the need for distributional assumptions to enhance solution robustness. Additionally, we implement a model improvement strategy to reduce the computational burden, making our method more scalable for large-scale power systems. Our approach is validated against benchmark systems, i.e., IEEE 14-, 57- and 118-bus systems, demonstrating superior performance in terms of cost-efficiency and robustness, with lower computational demand compared to existing methods.
Collagen-Heparin-FGF2-VEGF Scaffolds Induce a Regenerative Gene Expression Profile in a Fetal Sheep Wound Model
Authors: Gansevoort Merel , Oostendorp Corien , Bouwman Linde F. , Tiemessen Dorien M. , Geutjes Paul J. , Feitz Wout F. J. , van Kuppevelt Toin H. , Daamen Willeke F. 
Published: August 2024

Abstract
Background:
The developmental abnormality spina bifida is hallmarked by missing tissues (e.g. skin) and exposure of the spinal cord to the amniotic fluid, which can negatively impact neurological development. Surgical closure of the skin in utero limits neurological damage, but in large defects this results in scarring and contractures. Stimulating skin regeneration in utero would greatly benefit treatment outcome. Previously, we demonstrated that a porous type I collagen (COL) scaffold, functionalized with heparin (HEP), fibroblast growth factor 2 (FGF2) and vascular endothelial growth factor (VEGF) (COL-HEP/GF) improved pre- and postnatal skin regeneration in a fetal sheep full thickness wound model. In this study we uncover the early events associated with enhanced skin regeneration.

Methods:
We investigated the gene expression profiles of healing fetal skin wounds two weeks after implantation of the COL(-HEP/GF) scaffolds. Using laser dissection and microarrays, differentially expressed genes (DEG) were identified in the epidermis and dermis between untreated wounds, COL-treated wounds and wounds treated with COL-HEP/GF. Biological processes were identified using gene enrichment analysis and DEG were clustered using protein–protein-interaction networks.

Results:
COL-HEP/GF influences various interesting biological processes involved in wound healing. Although the changes were modest, using protein–protein-interaction networks we identified a variety of clustered genes that indicate COL-HEP/GF induces a tight but subtle control over cell signaling and extracellular matrix organization.

Conclusion:
These data offer a novel perspective on the key processes involved in (fetal) wound healing, where a targeted and early interference during wound healing can result in long-term enhanced effects on skin regeneration.
MEMPSEP‐II. Forecasting the Properties of Solar Energetic Particle Events Using a Multivariate Ensemble Approach
Authors: Dayeh Maher A. , Chatterjee Subhamoy , Muñoz‐Jaramillo Andrés , Moreland Kimberly , Bain Hazel M. , Hart Samuel T. 
Published: August 2024

AbstractSolar Energetic Particles (SEPs) form a critical component of Space Weather. The complex, intertwined dynamics of SEP sources, acceleration, and transport make their forecasting very challenging. Yet, information about SEP arrival and their properties (e.g., peak flux) is crucial for space exploration on many fronts. We have recently introduced a novel probabilistic ensemble model called the Multivariate Ensemble of Models for Probabilistic Forecast of Solar Energetic Particles (MEMPSEP). Its primary aim is to forecast the occurrence and physical properties of SEPs. The occurrence forecasting, thoroughly discussed in a preceding paper (MEMPSEP‐I by Chatterjee et al., 2024a, https://doi.org/10.1029/2023sw003568), is complemented by the work presented here, which focuses on forecasting the physical properties of SEPs. The MEMPSEP model relies on an ensemble of Convolutional Neural Networks, which leverage a multi‐variate data set comprising full‐disc magnetogram sequences and numerous derived and in‐situ data from various sources (MEMPSEP‐III by Moreland et al., 2024, https://doi.org/10.1029/2023SW003765). Skill scores demonstrate that MEMPSEP exhibits improved predictions on SEP properties for the test set data with SEP occurrence probability above 50%, compared to those with a probability below 50%. Results present a promising approach to address the challenging task of forecasting SEP physical properties, thus improving our forecasting capabilities and advancing our understanding of the dominant parameters and processes that govern SEP production.
Quantifying the Contribution of Multiple Processes to the Dust Decreasing Trend in the Guliya Ice Core Over the Past 50 Years
Authors: Huang Ju , Wu Guangjian , Zhao Huabiao , Xu Baiqing 
Published: August 2024

AbstractDust records extracted from ice cores can facilitate the reconstruction of historical atmospheric dust levels and climate change. However, interpreting dust variations in ice cores is intricate because of the compounded influence of emission, transport, and deposition processes. This study investigated dust records retrieved from the Guliya ice cap drilled in 2015 on the West Tibetan Plateau using a mean trajectory transport and deposition model. Results showed that the Guliya dust concentration has exhibited a declining trend since the 1960s (−751 μg kg−1 yr−1). Applying an attribution approach, we discovered that low dust emission (80.3%) was the main cause of the drop in dust concentration, with changes related to transportation (5.2%) and deposition (14.5%) making only minor contributions. The weakening of surface wind speed in the desert and increasing precipitation in both the desert and glacier were the primary factors driving the decrease in Guliya dust concentration.
Two‐Stage Climate and Vegetation Change at the East Asian Monsoonal Margin Across the Miocene Climatic Optimum
Authors: Wang Jian , Zhou Xinying , Wang Shiqi , Ye Jie , Liu Junchi , Zheng Yan , Stidham Thomas A. , Zhao Keliang , Behling Hermann , Li Xiaoqiang 
Published: August 2024

AbstractThe change in vegetation at the margins of the East Asian summer monsoon (EASM) during the Miocene Climatic Optimum (MCO) remains poorly understood. Here, we present a high‐resolution terrestrial sequence, paleomagnetically dated to 18.2–13.5 Ma, from the Tongxin Basin of midwestern China. Our multi‐indicator analysis, encompassing pollen, δ13CTOC, δ18Ocarb‐δ13Ccarb, and magnetic susceptibility, reveals that the regional vegetation and climate had two distinct stages during the MCO, manifesting as stable arid steppe from 17.0 to 16.0 Ma, and woodland steppe with six forested environments from 16.0 to 14.0 Ma. Together with other adjacent records, this supports the EASM as the main control on terrestrial vegetation. Further comparisons of marine‐terrestrial data and time series analysis suggest that in the late MCO, the oceanic carbon reservoir (OCR) experienced strong perturbations (mainly Cmax events) accompanied by multiple oscillations. The instability signals likely impacted and were amplified as rapid shifts in forest‐steppe environments at the monsoon margins via EASM. Our study highlights the regulation of inland ecologically vulnerable areas by low‐latitude forcing in a greenhouse world.
Plastic induced urinary tract disease and dysfunction: a scoping review
Authors: O’Callaghan Liam , Olsen Matthew , Tajouri Lotti , Beaver Davinia , Hudson Carly , Alghafri Rashed , McKirdy Simon , Goldsworthy Adrian 
Published: August 2024

Abstract
Introduction
In 2019 the World Health Organisation published a report which concluded microplastics in drinking water did not present a threat to human health. Since this time a plethora of research has emerged demonstrating the presence of plastic in various organ systems and their deleterious pathophysiological effects.

Methods
A scoping review was undertaken in line with recommendations from the Johanna Briggs Institute. Five databases (PubMed, SCOPUS, CINAHL, Web of Science and EMBASE) were systematically searched in addition to a further grey literature search.

Results
Eighteen articles were identified, six of which investigated and characterised the presence of microplastics and nanoplastics (MNPs) in the human urinary tract. Microplastics were found to be present in kidney, urine and bladder cancer samples. Twelve articles investigated the effect of MNPs on human cell lines associated with the human urinary tract. These articles suggest MNPs have a cytotoxic effect, increase inflammation, decrease cell viability and alter mitogen-activated protein kinases (MAPK) signalling pathways.

Conclusion
Given the reported presence MNPs in human tissues and organs, these plastics may have potential health implications in bladder disease and dysfunction. As a result, institutions such as the World Health Organisation need to urgently re-evaluate their position on the threat of microplastics to public health.

Impact statement
This scoping review highlights the rapidly emerging threat of microplastic contamination within the human urinary tract, challenging the World Health Organisation’s assertion that microplastics pose no risk to public health. The documented cytotoxic effects of microplastics, alongside their ability to induce inflammation, reduce cell viability and disrupt signalling pathways, raise significant public health concerns relating to bladder cancer, chronic kidney disease, chronic urinary tract infections and incontinence. As a result, this study emphasises the pressing need for further research and policy development to address the challenges surrounding microplastic contamination.
scEpiAge: an age predictor highlighting single-cell ageing heterogeneity in mouse blood
Authors: Bonder Marc Jan , Clark Stephen J. , Krueger Felix , Luo Siyuan , Agostinho de Sousa João , Hashtroud Aida M. , Stubbs Thomas M. , Stark Anne-Katrien , Rulands Steffen , Stegle Oliver , Reik Wolf , von Meyenn Ferdinand 
Published: August 2024

AbstractAgeing is the accumulation of changes and decline of function of organisms over time. The concept and biomarkers of biological age have been established, notably DNA methylation-based clocks. The emergence of single-cell DNA methylation profiling methods opens the possibility of studying the biological age of individual cells. Here, we generate a large single-cell DNA methylation and transcriptome dataset from mouse peripheral blood samples, spanning a broad range of ages. The number of genes expressed increases with age, but gene-specific changes are small. We next develop scEpiAge, a single-cell DNA methylation age predictor, which can accurately predict age in (very sparse) publicly available datasets, and also in single cells. DNA methylation age distribution is wider than technically expected, indicating epigenetic age heterogeneity and functional differences. Our work provides a foundation for single-cell and sparse data epigenetic age predictors, validates their functionality and highlights epigenetic heterogeneity during ageing.