bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of platelet‐rich plasma and platelet‐rich fibrin on healing of burn wound with dual‐species biofilm
Authors: Li Wen‐Dan , Lin Fang , Sun Yu , Zhu Zi‐Jing , Luo Mei‐Liang , Zeng Yi‐Qi , Lin Zhen , Zhou Mou 
Published: January 2025

AbstractThis study evaluated the impact of platelet‐rich plasma (PRP) and platelet‐rich fibrin (PRF) on burn wound with dual‐species biofilm. Pseudomonas aeruginosa (P. aeruginosa) and Staphylococcus aureus (S. aureus) were applied to infect the burn wound in rats to establish a dual‐species biofilm model. After infection, the wound was treated with ionized silver (AG), PRF, and PRP. Silver scanning electron microscopy (SEM) was used to assess adhesion after infection. PRF and PRP reduced wound size from day 8 after burn injuries, while AG significantly promoted burn wound healing at day 12. New collagen was formed in the shortest time in PRF and PRP groups compared to AG and control groups. PRF and PRP greatly lowered the bacterial numbers in wounds with S. aureus and P. aeruginosa biofilm, whereas AG showed weak bacteriostatic effects. AG, PRF, and PRP treatments significantly reduced inflammatory mediators and induced VEGFA. However, AG treatment increased TNF‐α. PRF and PRP accelerate wound healing in the presence of dual‐species biofilm infection and show strong antibacterial activity against S. aureus and P. aeruginosa, indicating that PRF and PRP could be potential therapies for burn wounds with dual‐species biofilm infection.
Synchronization‐Free Single‐Photon 3D Imaging
Authors: Wang Li , Yan Zeng‐Quan , Jiang Ze‐Kun , Zhang Zheng , Wang Xiao‐Wei , Zhou Wen‐Hao , Jin Xian‐Min 
Published: January 2025

Abstract3D imaging using single‐photon time‐of‐flight (ToF) detection has emerged as a potential solution for sensing in challenging scenarios. However, most schemes require strict synchronization between the illuminating light transmitter and the detector, which greatly limits their practicality and flexibility. Here, a synchronization‐free single‐photon 3D imaging scheme that exploits only binary‐encoded illumination light and a photon time‐stamping high‐speed detection system are proposed. The correlation between the arrival times of photons detected by individual pixels is utilized to achieve clock synchronization, and further calculate the ToF differences of photons detected by different pixels to extract the depth information of the imaging target. This scheme can adapt to conditions with signals as weak as photons per pulse per pixel. This work provides a simple, flexible method for realizing 3D imaging in long‐range and high‐loss scenes, paving the way for future applications in large‐scale, high‐complexity real‐world scenarios.
Weyl‐Related Surface Circular Photogalvanic Effect in Nonsymmorphic‐Symmetry ZrGeTe4 Semiconductor
Authors: Bai Ruixue , Du Xiaoshan , Zhou Rui , Zhu Yaojie , Zhang Xilin , Liu Yulun , Yan Zuowei , Li Wei , Ma Hui , Jiang Chongyun 
Published: January 2025

AbstractWeyl semiconductors, combining the high tunability features of semiconductors with the exotic topological properties of Weyl materials, are of great significance for fundamental physics studies and functional topological devices. Despite the potential theoretical implications, few Weyl semiconductors are experimentally discovered. Chirality is an extraordinary feature of Weyl nodes, which can give rise to helicity‐resolved photocurrents, known as the circular photogalvanic effect (CPGE). Here, this work discloses the surface CPGE in nonsymmorphic‐symmetry ZrGeTe4 semiconductors via a specific excitation and detection geometry, demonstrating that it originates from asymmetric helicity‐dependent optical transitions between two Kramers–Weyl nodes in the conduction and valence bands. Wavelength‐dependent experiments support the chirality‐related Weyl features of the CPGE in ZrGeTe4 semiconductors. It is experimentally confirmed that the Weyl‐related surface CPGE is an intrinsic phenomenon that can be flexibly tuned with an in‐plane electric field. The work provides a new platform for designing spintronic, optoelectronic, and quantum devices by integrating the advantages of topological materials with versatile semiconductors.
Corrosion Kinetics and Prediction Modeling of X70 Steel Under Dynamic DC Interference
Authors: Li Xiang , Wang Jun , Qian Wenbin , Xu Haohao , Du Yanxia , Duan Rujiao , Liu Jianguo , Cui Gan 
Published: January 2025

ABSTRACTThrough comprehensive electrochemical and corrosion rate testing, this study elucidates the dynamic changes in the impedance spectrum and corrosion rate of X70 steel subjected to dynamic direct current (DC) interference. An equivalent circuit model was developed to represent the system under dynamic DC conditions, and the current components within the electrode system were calculated using circuit theory. This analysis allowed for the determination of the non‐Faraday process contribution, thus clarifying its impact mechanism and the overall corrosion mechanism under dynamic DC interference. The findings indicate that non‐Faraday processes play a crucial role in dynamic DC interference scenarios, with non‐Faraday current increasing proportionally to the amplitude of the interference potential while Faraday efficiency remains unchanged. Furthermore, as the frequency of the interference potential increases, non‐Faraday current increases and Faraday efficiency decreases. Positive biasing of the interference potential maintains constant non‐Faraday current but enhances Faraday efficiency.
Rural Environment as a Risk Factor for the Age at Onset of Machado‐Joseph Disease
Authors: Martins Ana Carolina , Furtado Gabriel Vasata , Pinheiro Jordânia Dos Santos , Saraiva‐Pereira Maria Luiza , Jardim Laura Bannach 
Published: January 2025

AbstractBackgroundMachado‐Joseph disease (SCA3/MJD) is a neurodegenerative condition caused by a dominant expansion of a CAG repeat (CAGexp). Most of the variability in the age at onset of symptoms (AO) remains unexplained, and environmental influences were scarcely studied.ObjectiveThe objective was to test if AO of SCA3/MJD carriers can be associated with markers of the rural environment, such as demographic density (DeD), proportion of rural population (PRP), and the consumption of untreated well water (CWW).MethodsSymptomatic subjects from Rio Grande do Sul, Brazil, diagnosed between 1999 and 2017, and living in the same municipalities where they were born, were included, provided their CAGexp and AO were available, and the residual AO (RAO) could be estimated. DeD, PRP, and CWW were obtained from the Brazilian Census of 2010. Participants were stratified in high versus low DeD, PRP, and CWW groups, and their RAOs were compared for a P < 0.05.ResultsA total of 188 subjects were studied. The mean (SD) RAOs of subjects from low and high DeD groups were −1.90 (6.98) and −0.11 (6.20) (P = 0.046); from low and high PRP groups were −0.12 (6.20) and −1.90 (6.99) (P = 0.046); and from low and high CWW groups were −0.11 (6.04) and −1.89 (7.11) (P = 0.034).ConclusionsAO of SCA3/MJD carriers was earlier in groups related to rural life. Our evidence suggests the presence of a risk factor in the rural environment, for earlier onset of symptoms in SCA3/MJD.
A new type of ArsR transcriptional repressor controls transcription of the arsenic resistance operon of Arsenicibacter rosenii SM‐1
Authors: Zhang Yujie , Wu Wenjun , Huang Ke , Zhao Fang‐Jie 
Published: January 2025

Impact statementArsenic is the most common toxic metalloid in the environment. Nearly all organisms have genes for arsenic detoxification. Arsenic detoxification genes are frequently organized in chromosomal or plasmid‐encoded arsenic resistance (ars) operons, which are commonly regulated by members of the ArsR transcriptional repressors. To date, three As(III)‐responsive ArsRs with different As(III) binding sites have been identified. Here, we identify a new type of As(III)‐responsive ArsR repressor that has an atypical As(III) binding site and controls transcription of the ars operon of Arsenicibacter rosenii SM‐1. Our results provide new insights into the classification and evolution relationship of the ArsR transcriptional repressors.
Unified Predefined‐Time Stability Theorem and Sliding Mode Control for Fractional‐Order Nonlinear Systems
Authors: Liu Jingang , Li Ruiqi 
Published: January 2025

ABSTRACTThis paper proposes a class of predefined‐time stability (PDTS) theorem and a fractional‐order (FO) sliding mode control algorithm for the synchronization of FO nonlinear systems. Based on the simple tetration function, a new PDTS theorem and an FO sliding mode controller are established. Then, a new unified PDTS theorem is defined, which extends the existing Lyapunov function and provides a detailed mathematical proof. The Lyapunov function is used to construct a unified FO sliding mode control algorithm, and the mathematical proof that it satisfies the PDTS is given. Finally, the proposed framework is applied to the synchronization of two different chaotic systems, and numerical simulations prove that the unified approach can extend the existing PDTS theorems and is universal and effective.
The proton resonance enhancement for CEST imaging and shift exchange (PRECISE) family of RF pulse shapes for CEST MRI
Authors: Mohanta Zinia , Stabinska Julia , Gilad Assaf A. , Barker Peter B. , McMahon Michael T. 
Published: January 2025

AbstractPurposeTo optimize a 100 ms pulse for producing CEST MRI contrast and evaluate in mice.MethodsA gradient ascent algorithm was employed to generate a family of 100 point, 100 ms pulses for use in CEST pulse trains (proton resonance enhancement for CEST imaging and shift exchange). Gradient ascent optimizations were performed for exchange rates = 500, 1500, 2500, 3500, and 4500 s−1; and labile proton offsets (Δω) = 9.6, 7.8, 4.2, and 2.0 ppm. Seven proton resonance enhancement for CEST imaging and shift exchange pulse shapes were tested on an 11.7 T scanner using a phantom containing three representative CEST agents with peak saturation B1,peak = 4 μT. The pulse producing the most contrast in phantoms was then evaluated for CEST MRI pH mapping of the kidneys in healthy mice after iopamidol administration.ResultsThe most promising pulse in terms of contrast performance across all three phantoms was the 9.6 ppm, 2500 s−1 optimized pulse with ˜2.7 × increase in asymmetric magnetization transfer ratio (MTRasym) over Gaussian, and ˜ 1.3 times over Fermi pulses for the same B1,peak = 4 μT. This pulse also displayed a large improvement in contrast over the Gaussian pulse after administration of iopamidol in live mice.ConclusionA new 100‐ms pulse was developed based on gradient ascent optimizations, which produced better contrast compared to standard Gaussian and Fermi pulses in phantoms. This shape also showed a substantial improvement for CEST MRI pH mapping in live mice over the Gaussian shape and appears promising for a wide range of CEST applications.
Interplay between genetic risk and built neighborhood conditions as predictor of BMI across the transition into adulthood
Authors: de Roo Marthe , Hartman Catharina A. , Wagtendonk Alfred , Hoek Hans W. , Lakerveld Jeroen , Kretschmer Tina 
Published: January 2025

AbstractObjectiveWe examined BMI development across changes in the built environment during the transition from adolescence to young adulthood and explored the moderating role of genetic risk.MethodsWe used longitudinal data from individuals aged 16 to 25 years in the TRacking Adolescents' Individual Lives Survey (TRAILS) that we linked to built environment data for 2006, 2010, and 2016 from the Geoscience and Health Cohort Consortium (GECCO). We fitted a latent growth model of BMI and examined associations of changes in fast‐food restaurant density and walkability with changes in BMI (n = 2735), as well as interactions of changes in fast‐food restaurant density and walkability with genetic risk (n = 1676).ResultsChanges in fast‐food restaurant density (e.g., Δ2010–2006: β = −0.04, 95% CI: −0.11 to 0.03) and walkability (e.g., Δ2010–2006: β = −0.05, 95% CI: −0.14 to 0.05) were not associated with BMI changes. Additionally, genetic risk did not moderate these associations.ConclusionsWe found limited evidence that moving to neighborhoods with higher fast‐food restaurant density or less walkability was associated with BMI changes or that genetic risk moderated these associations. Our findings suggest that associations between the built environment and BMI changes during the transition into young adulthood are likely small.
Thermally stable, low‐combustion and high‐strength natural oil‐blended epoxy resin
Authors: Dubey Umang , Panneerselvam Kavan 
Published: January 2025

AbstractWhen contemplating the manufacturing of subsequent iterations of polymer composites, companies may choose to maximize the exploitation of naturally existing resources for synthesis. The rationale for this decision becomes apparent when considering both environmental and economic factors. Inside the cashew nutshell's honeycomb structure is a viscous, dark‐brown liquid called cashew nutshell oil (CNSL). This CNSL is among the few economically viable sources of naturally occurring phenols. Considering that CNSL is easily obtainable, cost‐efficient and derived from agricultural waste, this contribution showcases its financially and environmentally viable characteristics. This study made a natural oil‐blended epoxy resin using CNSL at 15, 20, 25 and 30 vol.% in synthetic epoxy. Thermal and mechanical properties, morphology analysis, water absorption, flammability and limiting oxygen index (LOI) were used for characterization. In addition, the examination of the link between the structure and properties was conducted using X‐ray diffraction analysis. With 20 vol.% CNSL, the epoxy had 12.66%, 18.34%, 10.18%, 13.72% and 3.78% higher flexural strength, compression strength, tensile strength, impact energy and Shore‐D hardness, respectively. The water absorption test indicated a mass decrease similar to that of pure epoxy. With 24.71% residual mass at 550 °C compared to 2.66% for pure epoxy, the bio‐blended epoxy showed thermal stability. The cured bio‐blended epoxy lowered the combustion rate by 9.62% compared to the cured epoxy resin, while no UL94 rating was detected. The LOI range indicates that the cured bio‐blended epoxy belongs to the category of materials that burn slowly. © 2025 Society of Chemical Industry.
AlphaFold and Docking Approaches for Antibody–Antigen and Other Targets: Insights From CAPRI Rounds 47–55
Authors: Gowthaman Ragul , Park Minjae , Yin Rui , Guest Johnathan D. , Pierce Brian G. 
Published: January 2025

ABSTRACTAccurate modeling of the structures of protein–protein complexes and other biomolecular interactions represents a longstanding and important challenge for computational biology. The Critical Assessment of PRedicted Interactions (CAPRI) experiment has served for over two decades as a key means to assess and compare current approaches and methods through blind predictive scenarios, highlighting useful strategies, and new developments. Here we describe the performance of our laboratory's team in recent CAPRI rounds, which included submissions for 10 modeling targets. Our team utilized a range of docking and modeling approaches, including ZDOCK, Rosetta, and ZRANK, to model, refine, and score protein–protein and protein–DNA complexes. For recent targets we utilized adaptations of AlphaFold to generate models, leading to near‐native models for an antibody–peptide target, and a highly accurate (but low ranked) model for an antibody–MHC complex. These results underscore the utility of AlphaFold‐based protocols for predictive protein complex modeling, including for immune recognition, and highlight considerations regarding the use of AlphaFold confidence metrics in model selection.
Inferring herbicide non‐target‐site cross‐resistance from dose response and mixture treatments
Authors: Liu Chun , Moss Stephen R. , Perraki Anastasia , Plumb Will , Kaundun Shiv S. 
Published: January 2025

AbstractBACKGROUNDHerbicide cross‐resistance is of increasing concern because it compromises the effectiveness of both existing and new chemical options. However, a common misconception is that if a weed population shows dose–response shifts to two herbicides, it is cross‐resistant to both. The possibility that individual plants may possess different resistance mechanisms is often overlooked.RESULTSTo better characterise non‐target‐site cross‐resistance, we propose that the accession be treated with mixtures of the two herbicides of interest. A population model could be used to simulate the expected dose responses to the mixtures, assuming different cross‐resistance levels in the population, as well as synergistic or antagonistic effects between the two herbicides. The simulated responses can then be compared with the actual responses, and the cross‐resistance level approximated. We demonstrated this approach from a mathematical standpoint and validated it with experimental data from glasshouse tests on four well‐characterised biotypes of Lolium multiflorum and two commercial herbicides, clodinafop and iodosulfuron. Results also showed that understanding chemical interactions such as synergy and antagonism is crucial to a better estimate of cross‐resistance levels.CONCLUSIONBecause this method utilises standard dose–response tests, it is potentially easier and less time‐consuming than those involving plant cloning or divergent recurrent selection. Quick characterisation of the degree of cross‐resistance provides important insights as to whether chemical rotations or mixtures can still effectively control the weed population displaying resistances to multiple herbicides. This approach could be applied more broadly in cross‐resistance studies with other xenobiotics. © 2025 Society of Chemical Industry.
Resistance to the herbicides haloxyfop and iodosulfuron is common in commercial ryegrass (Lolium) seed lines
Authors: Buddenhagen Christopher E , Ngow Zachary , Wynne‐Jones Ben , Rolston M. Philip 
Published: January 2025

AbstractBackgroundRyegrass (Lolium spp.) is a key forage providing a $14 billion contribution to New Zealand's gross domestic product (GDP). However, ryegrass can also act as a weed and evolve resistance to herbicides used for its control. Farmers suspected that imported seed might contribute to resistance issues. Herbicide resistance frequencies were investigated in commercial ryegrass seed lines intended for multiplication in New Zealand. Samples from 56 basic seed lots and 52 unique cultivars sourced from regions including New Zealand, United States, Europe and Japan were planted in field trials. Seedlings were then sprayed with three common herbicides: glyphosate, iodosulfuron, and haloxyfop. Surviving plants were retested to confirm resistance.ResultsResistance to haloxyfop and or iodosulfuron was detected in 79% of seed lines. However, frequencies were not significantly higher in imported lines (from United States and Europe) compared with New Zealand lines. Resistance was detected at frequencies between 0.00112% and 10% for haloxyfop and between 0.00212% and 14.28% for iodosulfuron Resistance to glyphosate was not found. There was no significant difference between the resistance detected in seed samples sourced from different seed companies.ConclusionsIt was found that 63% of resistant lines had resistance frequencies rarer than 0.1%, but this is potentially problematic considering typical sowing rates. Imported versus domestic seed sources were not significantly different; they pose similar levels of resistance risk to farmers. Lolium multiflorum had a higher resistance frequency compared to Lolium perenne (although only six L. multiflorum lots were evaluated). Breeders should screen progeny of early crosses for herbicide resistance. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Covariate Model Selection Approaches for Population Pharmacokinetics: A Systematic Review of Existing Methods, From SCM to AI
Authors: Karlsen Mélanie , Khier Sonia , Fabre David , Marchionni David , Azé Jérôme , Bringay Sandra , Poncelet Pascal , Calvier Elisa 
Published: January 2025

ABSTRACTA growing number of covariate modeling methods have been proposed in the field of popPK modeling, but limited information exists on how they all compare. The objective of this study was to perform a systematic review of all popPK covariate modeling methods, focusing on assessing the existing knowledge on their performances. For each method of each article included in this review, evaluation setting, performance metrics along with their associated values, and relative computational times were reported when available. Evaluation settings report was done for uncertainty assessment of communicated results. Results showed that EBEs‐based ML methods stood out as the best covariate selection methods. AALASSO, a hybrid genetic algorithm, FREM with a clinical significance criterion and SCM+ with stagewise filtering were the best covariate model selection techniques—AALASSO being the very best one. Results also showed a lack of consensus on how to benchmark simulated datasets of different scenarios when evaluating method performances, but also on which metrics to use for method evaluation. We propose to systematically report TPR (sensitivity), FPR (Type I error), FNR (Type II error), TNR (specificity), covariate parameter error bias (MPE) and precision (RMSE), clinical relevance, and model fitness by means of BIC, concentration prediction error bias (MPE), and precision (RMSE) of new proposed methods and compare them with SCM. We propose to systematically combine covariate selection techniques to SCM or FFEM to allow for comparison with SCM. We also highlight the need for an open‐source benchmark of simulated datasets on a representative set of scenarios.
Cover Image
Authors: Shen Chen , Ren Zhi‐Ying , Lan Hui‐Di , Kong Ling‐Yao , Yang Ming , Su You‐Zhu , Yue Xiao‐Lei , Wan Zu‐Lin , Xiao Li‐Xue , Chen Pi‐Pi , Li Xun , Zhou Xian , Robinson Nicola , Liu Jian‐Ping 
Published: January 2025

The cover image is based on the article Perspectives, Experiences, and Practices of Healthcare Professionals and Patients Towards Herb‐Drug Interaction: A Systematic Review of Qualitative Studies by Jian Ping Liu et al., https://doi.org/10.1002/ptr.8384.
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A Multimodal Perception System for Precise Landing of UAVs in Offshore Environments
Authors: Claro Rafael Marques , Neves Francisco Soares Pinto , Pinto Andry Maykol Gomes 
Published: January 2025

ABSTRACTThe integration of precise landing capabilities into unmanned aerial vehicles (UAVs) is crucial for enabling autonomous operations, particularly in challenging environments such as the offshore scenarios. This work proposes a heterogeneous perception system that incorporates a multimodal fiducial marker, designed to improve the accuracy and robustness of autonomous landing of UAVs in both daytime and nighttime operations. This work presents ViTAL‐TAPE, a visual transformer‐based model, that enhance the detection reliability of the landing target and overcomes the changes in the illumination conditions and viewpoint positions, where traditional methods fail. VITAL‐TAPE is an end‐to‐end model that combines multimodal perceptual information, including photometric and radiometric data, to detect landing targets defined by a fiducial marker with 6 degrees‐of‐freedom. Extensive experiments have proved the ability of VITAL‐TAPE to detect fiducial markers with an error of 0.01 m. Moreover, experiments using the RAVEN UAV, designed to endure the challenging weather conditions of offshore scenarios, demonstrated that the autonomous landing technology proposed in this work achieved an accuracy up to 0.1 m. This research also presents the first successful autonomous operation of a UAV in a commercial offshore wind farm with floating foundations installed in the Atlantic Ocean. These experiments showcased the system's accuracy, resilience and robustness, resulting in a precise landing technology that extends mission capabilities of UAVs, enabling autonomous and Beyond Visual Line of Sight offshore operations.