bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular engineering assembly of mesoporous carbon onto Ti3C2Tx MXene for enhanced lithium‐ion storage
Authors: Li Haitao , Lv Fengting , Fang Xiao , Zhu Guanjia , Yu Wei , Zhang Haijiao 
Published: October 2023

AbstractThe rational construction of Ti3C2Tx MXene‐based composites has been deemed as a popular way to improve their electrochemical energy storage performances owing to the unique two‐dimensional (2D) structure, excellent conductivity, and good flexibility. However, it remains a major challenge to assemble mesoporous carbon onto Ti3C2Tx with fewer oxygen‐containing groups by using surfactants with short hydrophilic segments. In the work, we propose a molecular engineering assembly strategy for the growth of N,P co‐doped mesoporous carbon onto Ti3C2Tx nanosheets (NPMC/Ti3C2Tx) under the assistance of phytic acid by using melamine‐formaldehyde resin and pluronic P123 (PEO20PPO70PEO20) as the carbon/nitrogen source and soft template, respectively. The detailed investigations reveal that phytic acid with abundant hydroxyl groups can effectively enhance the hydrogen bond interactions among P123, carbon precursor, and Ti3C2Tx nanosheets, thus ensuring the efficient assembly of mesoporous carbon onto Ti3C2Tx. The obtained NPMC/Ti3C2Tx composite demonstrates a set of merits, including cylindrical mesopore, N,P co‐doping, and a good combination of mesoporous carbon and Ti3C2Tx nanosheets. As a result, it exhibits an improved lithium‐ion storage performance, delivering a high reversible capacity of 556.3 mA h g−1 after 100 cycles at 0.1 A g−1. The present work provides a feasible molecular engineering assembly route for the rational design of high‐performance Ti3C2Tx MXene‐based electrodes.
Enhancing Hydrogen Production from the Photoreforming of Lignin
Authors: Aljohani Meshal , Daly Helen , Lan Lan , Mavridis Aristarchos , Lindley Matthew , Haigh Sarah J. , D'Agostino Carmine , Fan Xiaolei , Hardacre Christopher 
Published: October 2023

AbstractPhotoreforming of lignocellulose biomass is widely recognised as a challenging but key technology for producing value‐added chemicals and renewable hydrogen (H2). In this study, H2 production from photoreforming of organosolv lignin in a neutral aqueous solution was studied over a 0.1 wt % Pt/TiO2 (P25) catalyst with ultraviolet A (UVA) light. The H2 production from the system employing the lignin (~4.8 μmol gcat−1 h−1) was comparable to that using hydroxylated/methoxylated aromatic model compounds (i. e., guaiacol and phenol, 4.8–6.6 μmol gcat−1 h−1), being significantly lower than that from photoreforming of cellulose (~62.8 μmol gcat−1 h−1). Photoreforming of phenol and reaction intermediates catechol, hydroquinone and benzoquinone were studied to probe the mechanism of phenol oxidation under anaerobic photoreforming conditions with strong adsorption and electron transfer reactions lowering H2 production from the intermediates relative to that from phenol. The issues associated with catalyst poisoning and low photoreforming activity of lignins demonstrated in this paper have been mitigated by implementing a process by which the catalyst was cycled through anaerobic and aerobic conditions. This strategy enabled the periodic regeneration of the photocatalyst resulting in a threefold enhancement in H2 production from the photoreforming of lignin.
Components of functional diversity revisited: A new classification and its theoretical and practical implications
Authors: Schmera Dénes , Ricotta Carlo , Podani János 
Published: October 2023

AbstractFunctional diversity is regarded as a key concept for understanding the link between ecosystem function and biodiversity. The different and ecologically well‐defined aspects of the concept are reflected by the so‐called functional components, for example, functional richness and divergence. Many authors proposed that components be distinguished according to the multivariate technique on which they rely, but more recent studies suggest that several multivariate techniques, providing different functional representations (such as dendrograms and ordinations) of the community can in fact express the same functional component. Here, we review the relevant literature and find that (1) general ecological acceptance of the field is hampered by ambiguous terminology and (2) our understanding of the role of multivariate techniques in defining components is unclear. To address these issues, we provide new definitions for the three basic functional diversity components namely functional richness, functional divergence and functional regularity. In addition, we present a classification of presence‐/absence‐based approaches suitable for quantifying these components. We focus exclusively on the binary case for its relative simplicity. We find illogical, as well as logical but unused combinations of components and representations; and reveal that components can be quantified almost independently from the functional representation of the community. Finally, theoretical and practical implications of the new classification are discussed.
Loss and replacement of macroalgal standing stock and productivity after a major environmental disturbance
Authors: Mangan Stephanie , Tait Leigh W. , Gerrity Shawn , Schiel David R. 
Published: October 2023

AbstractHabitat‐forming macroalgae are widely recognized as one of the most productive ecosystems on earth. However, relatively little is known about the variation in productivity over large spatiotemporal scales and the relative importance of environmental and biotic factors in influencing the quantity of carbon fixed. Here we leverage a large tectonic event to understand how fluctuations in the biomass of habitat‐forming macroalgae and changes in light availability influence primary productivity along 130 km of coastline over 5 years. We also quantify the effects of changes to species composition on primary productivity. This study revealed significant implications of a compromised light environment for the biomass of macroalgae and productivity rates. Immediately post‐earthquake, there was a substantial loss of biomass (an average of −83%) of a previously dominant large brown alga, Durvillaea spp., and very limited recovery of biomass over the next 5 years. Reductions in biomass coupled with changes in light attenuation resulted in average net primary production (NPP) from Durvillaea decreasing from 1130 g C m−2 year−1 before the earthquake to 192 g C m−2 year−1 after 5 years. Partial compensation of reduced NPP was facilitated by increases in the biomass of a smaller fucoid Carpophyllum maschalocarpum, but its productivity was considerably less on average, resulting in a reduction in carbon fixation. Overall, reductions in biomass resulted in a 2‐fold to 10‐fold drop in carbon fixation by canopy‐forming macroalgae over at least 5 years, while a degradation of the light environment further compromised primary productivity, and most likely detrital subsidies of organic matter to the nearshore ecosystem.
Dissemination of public health research evidence and guidelines to Australian Early Childhood Education and Care staff: Views about source, content and format
Authors: Finch Meghan , Lum Melanie , Yoong Sze Lin , Hodder Rebecca K. , Grady Alice , Wolfenden Luke 
Published: October 2023

AbstractIssue AddressedEffective dissemination of public health research and evidence‐based guidelines to Early Childhood Education and Care (ECEC) staff is critical for promoting research transfer and uptake and achieving positive outcomes for children.MethodsA cross‐sectional study was conducted during August 2021 to March 2022, with a sub‐sample of Australian ECEC services participating in a larger survey completed online and via Computer‐Assisted Telephone Interview. Survey items assessed: influential source for receiving research, type of content that would influence decisions to adopt research and preferred formats for receiving research.ResultsOverall, 993 service managers or staff from 1984 (50.0%) invited and eligible services completed the larger survey. Of these, 463 randomly allocated services (46.7%) had staff complete the dissemination items. The Australian Children's Education and Care Quality Authority, ECEC agencies and Government Departments were most frequently selected as influential sources of research evidence. Staff were most interested in content providing evidence‐based recommendations for future actions and descriptions of health issues addressed. Workshops or conferences and webinars were the preferred format for receiving research.ConclusionsFindings highlight the importance of tailoring dissemination strategies to meet ECEC staff needs and engaging influential sources to disseminate research evidence.So What?Understanding dissemination preferences of ECEC staff is crucial for supporting uptake of evidence‐based health promotion in this setting. By developing tailored strategies based on ECEC preferences, research transfer and evidence‐based decision making can be supported more effectively. These findings contribute to bridging the evidence‐practice gap and improving the quality of care and health outcomes for children in ECEC settings.
Association of MMP1 gene polymorphisms with breast cancer risk: A narrative review
Authors: Akter Tahmina , Aziz Md. Abdul , Islam Mohammad Safiqul , Sarwar Md. Shahid 
Published: October 2023

AbstractBackground and AimsBreast cancer is a multifactorial malignancy with different clinicopathological and molecular characteristics. It is the most frequent cancer in women in terms of both incidence and mortality. Matrix metallopeptidase 1 or MMP1 is a zinc‐dependent endopeptidase associated with several physiological processes through the modification of the extracellular matrix and tumor microenvironment. However, previous results did not suggest any concluding remarks on the correlation between MMP1 gene polymorphisms and the risk of breast cancer.MethodsA comprehensive literature search was performed in PubMed database to retrieve relevant articles and extract data from suitable ones. The literature written only in English was selected for this review.ResultsA total of 26 articles were included in the present narrative review. From the available studies, it is observed that MMP1 is upregulated in breast cancer tissues and found to be correlated with metastasis and invasion. The expression of MMP1 gene is mediated by numerous factors, including polymorphisms which act as a potential risk factor for the progression of breast cancer. To establish the correlation between genetic polymorphisms in MMP1 and the risk of breast cancer, several case‐control studies, as well as genetic analyses, have been carried out in different ethnicities. The association of genetic polymorphisms in MMP1 with the risk and survival of breast cancer in different populations has been reviewed in this study. Moreover, the structural domain of MMP1 and the role of MMP1 in breast cancer metastasis and invasion are also discussed which will help to understand the potential impact of MMP1 as a genetic biomarker.ConclusionsThis review provides an overview of the MMP1 gene polymorphisms in breast cancer. However, we recommend future studies concentrating on combined analysis of multiple SNPs, gene‐gene interactions, and analysis of epigenetics, proteomics, and posttranscriptional modifications that will provide the best outcome.
Nonparametric estimation of English auctions with selective entry: An application to online judicial auctions
Authors: Liu Nianqing , Xu Kexin 
Published: October 2023

AbstractThis paper proposes an estimation approach following the constructive identification strategy of Athey and Haile, and Gentry and Li with adaption in the context of ascending auctions with selective entry. Our estimators are shown to be consistent in a large sample and to perform well in a finite sample by a simulation study. We apply our estimation approach to the Alibaba online judicial auctions of used cars to recover the bounds of conditional value distribution and the entry cost. The bounds estimates of both conditional value distribution and entry cost are quite tight (resp., relatively wide) for middle‐valued (resp., low‐valued or high‐valued) signal, and the cumulative distribution functions of conditional value distribution given signal comply with the law of ordered dominance. Finally, our counterfactual analysis indicates that (i) the ascending auction yields a higher revenue than the first‐price sealed bid auction, and (ii) the revenue can be improved significantly when the entry cost is cut by half.
Structural and compositional diversity of biosurfactants produced by a novel strain of Sporosarcina luteola ME44 from oil reservoir
Authors: Li Jia‐Yi , Liu Yi‐Fan , Zhou Lei , Gang Hong‐Ze , Liu Jin‐Feng , Sun Gang‐Zheng , Wang Wei‐Dong , Yang Shi‐Zhong , Mu Bo‐Zhong 
Published: October 2023

AbstractThe urealytically active microorganism Sporosarcina luteola induces the precipitation of metals, which has attracted attention in biomineralization, bioremediation, and industrial waste recycling. Herein, we report a novel biosurfactant‐producing strain of S. luteola ME44 isolated from Chinese Oilfield. The structure, composition, and surface activity of the biosurfactants produced by S. luteola ME44 were investigated by using a combination of the high‐performance liquid chromatography, time‐of‐flight mass spectrometry, and surface tensiometer. The biosurfactant extracted by strain ME44 was identified as surfactin with five variants and the yield was 1010 ± 60 mg⋅L−1. This is the first report on the structural composition and surface activity of biosurfactants isolated from the S. luteola. It extended our knowledge about the role of the species S. luteola in the ecosystem of extreme natural environments such as oil reservoir. In addition, S. luteola ME44 showed bioprecipitation properties for metal ions Cd(II), Cu(II), Zn(II), and Ag(I), which indicated the application potential of S. luteola in the field of bioremediation.
Application of deep learning algorithms to correct bias in CMIP6 simulations of surface air temperature over the Indian monsoon core region
Authors: Sabarinath A. , Naga Rajesh A. , Gunthe Sachin S. , Lakshmi Kumar T. V. 
Published: October 2023

AbstractIndian subcontinent witnessed a rise in surface air temperature (SAT) in recent decades, during the summer months of March, April and May. The monsoon core region (MCR) of India experiences a hot and humid climate, with temperatures typically highest in May and June before the onset of the monsoon. Global climate model (GCM) simulations of SAT are very much essential to understand the future climate of Indian MCR. Biases in GCMs simulations are due to insufficient knowledge of parameterizations and various assumptions that are made to simulate the complex interactions between land, ocean and atmosphere. The objective of this study is to correct the bias in the Coupled Model Intercomparison Project Phase 6 (CMIP6)–GCM simulations of SAT during March, April and May months over MCR for the historical period 1985–2014 and shared socio‐economic pathways (SSPs) SSP2‐4.5 and SSP5‐8.5 for the period 2015–2100. SAT dataset of fifth‐generation reanalysis (ERA5) of the European Centre for Medium‐Range Weather Forecasts (ECMWF) is used as reference dataset to perform bias correction for the historical period. Preliminary investigation of both SAT datasets has shown that there exists considerable warm bias (1.47°C) over the MCR. Bias correction is performed using a one‐dimensional convolutional neural network (CNN‐1D) and a convolutional long short‐term memory network (CNN‐LSTM) deep learning algorithm. The performance of these algorithms is evaluated with the statistical metrics such as root‐mean‐square error (RMSE), normalized root‐mean‐square error, Nash–Sutcliffe efficiency, mean absolute error, percent bias, correlation coefficient and dynamic time warping. RMSE and percent bias were decreased to 0.35°C and 0.8% with CNN‐LSTM algorithm. The CNN‐LSTM algorithm also preserves the year‐to‐year variability of SAT. Hence, CNN‐LSTM algorithm is found to be suitable for the bias correction of GCM simulations of SAT with encouraging results.
Effect of straw incorporation on controlling runoff and soil erosion in cropland with different land degradation degrees
Authors: Wang Chengshu , Zhang Guanghui , Chen Shiqi , Wan Yuanqiang 
Published: October 2023

AbstractStraw incorporation plays a vital role in regulating runoff and soil erosion of cropland. However, the benefits of straw incorporation to control runoff and soil erosion on croplands under different degradation degrees have not been fully clarified. This study was performed to investigate the benefits of straw incorporation to reduce runoff and soil erosion under different degradation degrees and determine its dominant influencing factors. The event runoff and soil erosion were measured from late May to late September 2022 using 16 runoff plots (9 m in length and 3.3 m in width) in the black soil region of Northeast China. The results showed that straw incorporation significantly reduced runoff and soil erosion on croplands with different degradation intensities. Compared to croplands without straw incorporation, runoff and soil erosion of straw incorporation decreased by 48. 8%, 40.0%, 30.9%, 25.5%, and 55.2%, 48.8%, 40.8%, and 36.5% for croplands of no, light, moderate, and strong degradation intensities, respectively. The roles of straw incorporation in controlling runoff and erosion decreased with rainfall intensity. Compared to light rainfall, runoff reduction ratio and erosion reduction ratio of moderate and heavy rainfalls reduced by 19.5%–61.3% and 27.5%–64.4%. The benefit of straw incorporation to control runoff and erosion was limited on strong degraded cropland or under heavy storm. Moreover, soil hydrological properties and crop growth characteristics decreased by land degradation and improved by straw incorporation, which inevitably affected runoff and soil erosion. Soil bulk density, maximum rainfall intensity of 30‐min, saturated water content, precipitation, rainfall intensity, saturated hydraulic conductivity, and total porosity were the dominant factors affecting the roles of straw incorporation in controlling runoff and erosion on degraded croplands. The results of this study are helpful to prevent land degradation or recover the functions of degraded lands in semi‐humid region.
A novel thermo‐mechanically coupled material model for glass above the glass transition temperature
Authors: Bögershausen Skadi , Holthusen Hagen , Felder Sebastian , Brepols Tim , Vu Anh Tuan , Grunwald Tim , Reese Stefanie 
Published: October 2023

AbstractThin glass products have a giant field of application in several engineering branches such as for example, electronics, medical equipment, and the automotive industry. The non‐isothermal glass molding is a novel replicative glass processing technology enabling the realization of a cost‐efficient production of surface shapes with high accuracy and complexity. However, the application of this technology to thin glass production still causes shape distortions, cracks, and surface defects in molded parts. Therefore, these glass‐forming processes should be simulated by means of the combination of experimental investigation and mechanical modeling of glass above the glass transition temperature at finite strains. Previous experimental studies have shown that the Maxwell model is a reasonable approach for an appropriate prediction of the material behavior. Based on this viscoelastic formulation, a thermo‐mechanically consistent material law is used enabling the prediction of rheological effects noticed during the experiments. More specifically, the relaxation behavior can be described by a stress‐dependent relaxation time and the dissipation generated is considered as well. Furthermore, isothermal uniaxial compression tests above the glass transition temperature are conducted for different strain rates and temperatures within the experimental investigation. Combining the experimental data with the simulation, a multi‐curve‐fitting leads to suitable material parameters with respect to distinct temperatures employing a nonlinear optimization.
Fatigue damage propagation of FRP under coupling effect of cyclic load and corrosion
Authors: Xia Liu , Feng Li , Xin Wang , Jingyang Zhou , Mengdie Liang , Leizhi Zhang , Huang Huang , Zhishen Wu 
Published: October 2023

AbstractInterlaminar fracture or delamination is one of the major failure modes for fiber reinforced polymer (FRP) laminate. Especially, the synergistic effect of environmental exposure and fatigue loads accelerates interface degradation. The main objective in this work was to investigate the fatigue damage propagation of basalt FRP (BFRP) laminate under coupling of acidic environment and fatigue load. The fatigue cycling of 40,000 and the maximum stress of 30% fu (fu = ultimate tensile strength) were adopted. The fatigue specimens under air condition (air fatigue), immersing in water (water fatigue) and immersing in acid (acid fatigue) were introduced. The double cantilever beam (DCB) test was used to evaluate the interlaminar damage of BFRP laminate after fatigue cycling. The fatigue damage propagation mechanism was explored by means of failure modes, load displacement curves, mode I fracture toughness and crack propagation resistance model. The results show that the fatigue weakened the interlaminar properties and resulted in reduced fiber bridging. Especially for the acid fatigue, the laminate was damaged by the coupling of fatigue and acid corrosion. The linear loading stage, nonlinear slow growing stage, stable crack propagation stage and linear unloading stage for DCB after fatigue were observed in the load–displacement curve. The fatigue cycling has caused fracture toughness decrease of 15.0%, 13.8% and 24.1% on air fatigue, water fatigue and acid fatigue respectively. Compared to air fatigue, additional 9.1% interlaminar toughness decrease was evidenced for acidic corrosion fatigue due to the coupling effect of chemical corrosion and physical swelling. The fluctuating decline of crack resistance was caused by discontinuous interface damage, and the interlayer damage was randomly distributed. Thus the interface damage model was proposed to characterize the damage distribution and the damage size.Highlights
Degradation law of BFRP under the coupling effect of acid immersion and fatigue load.
Interface damage model for characterization of the damage distribution and damage size.
Fatigue damage propagation of BFRP under coupling effect of cyclic load and corrosion.