bluuebunny/crossref_metadata_2025_split huggingface dataset:
PDPN+ cancer‐associated fibroblasts enhance gastric cancer angiogenesis via AKT/NF‐κB activation and the CCL2‐ACKR1 axis
Authors: Zhao Zhenxiong , Sun Hui , Liu Yingxue , Zhang Yanqiu , Wang Xin , Wang Xu , Tan Cong , Ni Shujuan , Weng Weiwei , Zhang Meng , Wang Lei , Huang Dan , Gu Wenchao , Chang Jinjia , Sheng Weiqi , Xu Mi‐die 
Published: January 2025

AbstractCancer‐associated fibroblasts (CAFs) are intrinsic components of the tumor microenvironment that promote cancer progression and metastasis. Through an unbiased integrated analysis of gastric tumor grade and stage, we identified a subset of proangiogenic CAFs characterized by high podoplanin (PDPN) expression, which are significantly enriched in metastatic lesions and secrete chemokine (CC‐motif) ligand 2 (CCL2). Mechanistically, PDPN(+) CAFs enhance angiogenesis by activating the AKT/NF‐κB signaling pathway. The canonical NF‐κB signaling protein P65 binds to the promoter region of CCL2, inducing its expression. Additionally, we found that CCL2 interacts with its nonclassical receptor ACKR1 (expressed on endothelial cells) to exert its proangiogenic effects. Furthermore, the disruption of CCL2‐ACKR1 communication via a CCL2 neutralizing antibody or the inhibition of AKT signaling transduction using AKT inhibitors effectively suppressed tumor growth. Together, this study elucidates the mechanism by which PDPN(+) CAFs promote angiogenesis, providing a deeper understanding of the molecular processes underlying CAF‐mediated angiogenesis and suggesting potential therapeutic targets for gastric cancer treatment.
Fox Insight: Most Bothersome Symptoms in Early‐Stage Parkinson's Disease
Authors: Lerner Aaron , Mammen Jennifer R. , Tyo Mirinda , Auinger Peggy , Al‐Rubayie Raunak , Xiao Yuge , Marras Connie , Adams Jamie L. 
Published: January 2025

AbstractBackgroundLimited evidence exists regarding the meaningfulness of symptoms experienced in early Parkinson's disease (PD).ObjectivesTo identify the most bothersome symptoms experienced by people with early PD, leveraging data from the Parkinson's Disease Patient Report of Problems (PD‐PROP) questionnaire within the Fox Insight Study.MethodsIndividuals with a self‐reported diagnosis of PD completed the PD‐PROP questionnaire, reporting up to five most bothersome symptoms. Symptom types and frequencies were derived through a combination of human expertise and machine learning.ResultsParticipants (N = 8536) were 0.9 years since diagnosis, predominantly white (96%), male (53.3%), and with an average age of 64.6 years. Top most bothersome motor symptoms were tremor (55.9%) and gait issues (36.7%). Top most bothersome non‐motor symptoms were pain/discomfort (33.1%) and physical fatigue (27.5%).ConclusionsThis study underscores the complexity of early PD symptomatology. Future consideration of diverse patient experiences is needed to improve therapeutic and outcome measurement strategies.
Use of Robust Norming to Create a Sensitive Cognitive Summary Score in De Novo Parkinson's Disease: An Illustrative Example
Authors: Weintraub Daniel , Brumm Michael C. , Kurth Ryan , York Michele K. ,   the Parkinson's Progression Markers Initiative
Published: January 2025

AbstractBackgroundCognitive impairment is common at all stages of Parkinson's disease (PD), but there is no consensus on which neuropsychological tests to use or how to interpret cognitive battery results. A cognitive summary score (CSS) combines the richness of a neuropsychological battery with the simplicity of a single score.ObjectiveThe objective of this study was to determine whether a CSS created using robust norming can detect early cognitive deficits in de novo, untreated PD.MethodsBaseline cognitive data from PD participants and healthy control participants (HCs) in the Parkinson's Progression Markers Initiative were used to (1) create a robust HC subgroup without cognitive decline, (2) generate regression‐based z scores for six cognitive measures using this subgroup, and (3) create a CSS by averaging all z scores.ResultsPD participants scored worse than HCs on all cognitive tests, with larger effects when compared with the robust HC subgroup rather than all HCs. Applying internally derived norms, the largest effects were for processing speed/working memory (Cohen's d = −0.55) and verbal episodic memory (Cohen's d = −0.48 and −0.52). Robust norming shifted PD performance from average (CSS z score = −0.01) to low average (CSS z score = −0.40), with a larger effect for the CSS (PD vs. robust HC subgroup; Cohen's d = −0.60) compared with individual tests.ConclusionsPatients with PD perform worse cognitively than HCs, particularly in processing speed and verbal memory. Robust norming increases effect sizes and decreases PD scores to expected levels. The CSS outperformed individual tests and may detect cognitive changes in early PD, making it a useful outcome measure in clinical research. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Global Stability and Synchronization of Complex‐Valued Differential‐Algebraic Neural Networks With Delay: A Differential‐Algebraic Inequality Approach
Authors: Gong Weiqiang , Xiao Yao , Wang Kai , Li Qiang 
Published: January 2025

ABSTRACTThis article proposes a novel complex‐valued differential‐algebraic neural network model with time delay (DDANN). Firstly, based on the differential‐algebraic inequality technique, the global stability criteria of the considered system are obtained to ensure the complex‐valued DDANN achieves global exponential stability. Next, by designing an appropriate feedback controller, to get the desired results, we present some constraint conditions, which make the drive system and the response system achieve the global exponential synchronization. Furthermore, as an application, a complex‐valued neutral‐type neural network (NDNN) can be transformed into a simple complex‐valued DDANN and the global exponential stability results of NDNN are also proposed. In the end of paper, two examples are given to verify the superiority/feasibility of the presented theoretical results.
Enhanced Accuracy and Computational Efficiency: A Modified Formulation of a Displacement‐Driven Approach for Large Deformation Frictional Contact
Authors: Rahmi Diah Puspita , Fleischhauer Robert , Kaliske Michael 
Published: January 2025

ABSTRACTThis paper introduces a modified displacement‐driven approach for contact mechanics between rigid and deformable bodies within the finite element framework. This modification enhances efficiency, addressing the limitations of the original formulation, which resulted in an overdetermined system of equations. The proposed enhancement aims to resolve this issue by forming a determined system of equations while providing accurate results. Additionally, using an advanced solver significantly reduces computation time, making it well‐suited for handling large‐scale problems. The performance of the enhanced formulation is demonstrated by several numerical examples and compared to the results from the initial model. The results show that the enhanced formulation satisfies numerical stability and exhibits quadratic convergence behavior. These results are validated using both an analytical solution and a penalty method. Furthermore, a spatial convergence study confirms the accuracy and reliability of the algorithms.
Improvement of thermal, electrical, and tribological performances of GnPs composites produced by selective laser sintering
Authors: Mingione E. , Salvi D. , Almonti D. , Ponticelli G. S. 
Published: January 2025

AbstractIn the present work, Graphite nanoPlatelets/Polyamide‐12 (GnPs/PA‐12) particle composites were produced through additive manufacturing (AM). The selective laser sintering (SLS) technology was used to manufacture 3D‐printed composite components by means of a powder mix of GnPs and PA‐12. The analyzed combination of technology and materials allows to obtain parts with improved thermal, electrical, and tribological properties, while maintaining a low production cost. In total were realized 5 different scenarios, each one with a different wt% of the GnPs reinforcement (2‐4‐6‐8‐10 wt%), and compared the results to the PA‐12 matrix. Experimental tests were performed to study the morphology (profilometry, SEM, wettability), the electrical conductivity under different normal loads (0.1–1 kN), the thermal performance, and the tribological properties of each sample. The results show that the increase of GnPs particles dispersed in the matrix leads to a hydrophobic behavior of the surface. An improvement in electrical conductivity (from 10−11 S/cm of the pure PA‐12 matrix to 10−4 S/cm of the 10 wt% GnPs) and thermal performance (33,6% improvement for the best‐case scenario compared to the bare matrix) was observed. Tribological tests underlined a reduction of 25% in friction coefficient and an improvement of 80% in wear resistance compared to the PA‐12 matrix.Highlights
3D printed GnPs/PA‐12 composites does not exhibit any significant geometrical alteration.
GnPs enable hydrophobic surfaces with increased contact angles.
Electrical conductivity improved from 10−11 S/cm of the unfilled PA‐12 matrix up to 10−4 S/cm, for the 10 wt% GnPs sample.
Thermal performance improves up to 33.6% with GnPs reinforcement.
10 wt% GnPs reduces friction by 25% and wear by 81%.
Hypoglycemic Effect of Ginsenoside Compound K Mediated by N‐Acetylserotonin Derived From Gut Microbiota
Authors: Huang Su‐Tian‐Zi , Hu Yu‐Hui , Gao Yong‐Chao , Zhou Ding‐Ding , Chen Man‐Yun , Wang Lin , Song Jing‐Yuan , Zhou Hong‐Hao , Zhang Wei , Huang Wei‐Hua 
Published: January 2025

ABSTRACTGinsenoside compound K (GCK) has been proved to have great hypoglycemic effect pertinent to gut microbiota. However, the improvement of high‐fat‐diet (HFD)‐induced type 2 diabetes (T2D) as well as the mechanism of GCK mediated by gut microbiota is not well‐known. This study aimed to investigate the hypoglycemic effects and mechanism of GCK on a HFD‐induced diabetic mouse model. HFD‐induced pseudo‐germ free (GF) T2D mice model and fecal microbiota transplantation (FMT) experiments were performed to clarify the role of gut microbiota in the hypoglycemic effect of GCK. Differential metabolites were screened by untargeted metabolomics analysis and their functions were verified by suppling to T2D mice. The level of glucagon‐like peptide‐1 (GLP‐1) in plasma was detected by ELISA analysis to explore the potential hypoglycemic mechanism of GCK. The results showed GCK alleviated metabolic disorders and altered gut microbiota in HFD‐induced diabetic mice, which was transmitted to pseudo‐GF diabetic mice via FMT experiment to reproduce the hypoglycemic effect. Non‐targeted metabolites analysis on cecal content samples indicated that N‐acetylserotonin (NAS) was markedly increased after GCK treatment. Moreover, gavage with NAS improved insulin sensitivity and increased the secretion of GLP‐1 in HFD mice. Our study showed that GCK had hypoglycemic effect through modifying gut microbiota profiling.
LCMS Detection and Characterization of In Vitro Metabolites of Isotonitazene, a Targeted Strategy for Novel Psychoactive Substance Control in Camel Racing
Authors: Nalakath Jahfar , Thacholil Rasik P. , Kadry Ahmed , P Shamil , Praseen O. K. 
Published: January 2025

ABSTRACTRationaleThe use of benzimidazole‐class novel psychoactive substances has significantly increased worldwide raising concerns about potential misuse and doping in animal sports such as camel racing. Understanding the metabolism of these substances is critical for developing reliable detection methods to ensure fair competition and animal welfare.MethodsIn vitro studies were conducted using homogenized camel liver samples to replicate metabolic processes. Metabolites were extracted and analyzed with a Thermo Fisher Orbitrap Exploris LCMS system. The acquired data were processed using the Compound Discoverer software for accurate detection and characterization of the metabolites.ResultsThrough in vitro investigation, we have successfully identified nine metabolites in camels, which provide valuable insights into their metabolic pathways. The primary pathways for the formation of phase I metabolites were dealkylation and hydroxylation; the characterized metabolites can be used for long‐term detection of the presence of isotonitazene.ConclusionThe study employed advanced high‐resolution accurate mass LC–MS techniques to detect and identify the in vitro metabolites of isotonitazene in camels. Isotonitazene is a highly active psychoactive substance with significant potential for abuse, particularly in racing contexts. These findings are crucial for developing effective doping control strategies, which will improve regulation and monitoring in camel racing events and promote animal welfare.
Range‐Varying Sliding Mode‐Based Integrated Guidance and Control for Hypersonic Vehicle With Multi‐Constraints
Authors: Xu Weiping , Liao Yuxin , Wang Xin , Wei Caisheng , Yin Zeyang , Chen Qifeng 
Published: January 2025

ABSTRACTThis paper proposes a novel integrated guidance and control (IGC) scheme for a bank‐to‐turn (BTT) hypersonic vehicle (HV) in the dive phase with multi‐constraints, input saturation, and complex uncertainties. In the guidance loop, the presence of the terminal impact angle constraints may cause severe saturation of the attack angle, which may lead to the failure of the mission. Motivated by this issue, a range‐varying sliding mode surface is constructed, of which the core is a novel line‐of‐sight (LOS) angle error shaping strategy that drives the LOS angle errors to converge along the prescribed performance functions. On this basis, a range‐based prescribed performance function is designed to portray a practical saturation‐alleviation convergence characteristic of the LOS angle errors. In the control loop, the barrier Lyapunov function (BLF) and barrier function (BF)‐based adaptive law are incorporated to restrict the states within proper regions in the presence of uncertainties. Additionally, an auxiliary system is constructed to deal with the adverse affect caused by input saturation. The stability of the closed‐loop system is proved by the Lyapunov stability theory. Finally, the effectiveness and robustness of the proposed IGC scheme are verified through numerical simulations.
Beyond Physical and Mental Health: The Broader Impacts of Intimate Partner Violence on Psychosocial Well‐Being Among Women and Men Veterans
Authors: Taverna Emily , Iverson Katherine M. , Kumar Shaina A. , Vogt Dawne , Mitchell Karen S. 
Published: January 2025

ABSTRACTResearch on the consequences of experiencing intimate partner violence (IPV) has predominantly focused on specific physical and mental health outcomes and have emphasized the impacts for women. Fewer studies have comprehensively documented IPV impacts on other aspects of psychosocial well‐being and examined effects for both women and men. A sample of 1133 veterans (52.3% women) completed two web‐based surveys approximately one year apart. Women did not differ from men with respect to their odds of experiencing past year overall IPV (OR = 1.06, 95% CI [0.81, 1.38]) but were more likely to experience overall IPV prior to the past year (OR = 1.52, 95% CI [1.19, 1.95]). Gender‐stratified multivariate regressions revealed that greater frequency of past year IPV experiences was associated with lower psychosocial well‐being with respect to finances (β = −0.22, p < 0.001), health (β = −0.19, p < 0.001), intimate relationships (β = −0.14, p = 0.007), and broader social relationships (β = −0.17, p = 0.018), whereas greater frequency of IPV prior to the past year was associated with lower psychosocial well‐being with respect to employment (β = −0.17, p = 0.002), finances (β = −0.14, p = 0.020), and health (β = −0.16, p = 0.012) among women. For men, nonsignificant associations were observed for all associations of IPV with psychosocial well‐being outcomes. Results point to the importance of attending to broader aspects of psychosocial well‐being that may represent modifiable intervention targets among women who have experienced IPV. Further research is needed to better understand the psychosocial well‐being impacts of IPV for men.
MOF‐Derived Hierarchically Porous Carbon with Orthogonal Channels for Advanced Na–Se Batteries
Authors: Li Teng , Zheng Jiameng , Wu Jinwei , Li Zhenrui , Xu Anding , Wu Songping , Yan Yurong 
Published: January 2025

AbstractNa–Se batteries with high theoretical capacity and rich natural abundance are regarded as desirable substitutes for lithium‐ion batteries in the predicament of scarce lithium resources. However, the huge volume expansion of Se and the shuttling effect of polyselenides hinder the development of Na–Se batteries. Herein, the hierarchically porous carbon encapsulated Se (Se/HPC) is successfully prepared by molten Se diffusing into the multi‐scaled orthogonal channels of In‐MOF derived carbon matrix. The Se/HPC realizes effective nano‐confinement of Se phase and accelerates charge transfer during cycling to efficiently buffer the volume expansion of Se, which avoids the shuttling effect and promote electrochemical performance. The Se/HPC achieves admirable electrochemical performance for delivering high capacity of 465 mAh g−1 at a high current density of 50 A g−1 and 533 mAh g−1 after 2800 cycles at 10 A g−1 with 0.003% capacity decay per cycle. Density functional theory calculations demonstrate that the Se─C bond is thermodynamically and kinetically beneficial for the adsorption/diffusion of Na+. This work can inspire the further exploration of utilizing the intrinsic crystal structure of MOF to construct a hierarchically porous carbon matrix in situ as carrier for the active Se component, and provide inspiration for future construction of higher‐performance electrode materials.
Amorphous/Crystalline ZrO2 with Oxygen Vacancies Anchored Nano‐Ru Enhance Reverse Hydrogen Spillover in Alkaline Hydrogen Evolution
Authors: Niu Jidong , Duan Huimei , Sun Tanxu , Zhi Zhenhai , Li Daohao , Fan Xiaokun , Zhang Lijie , Yang Dongjiang 
Published: January 2025

AbstractHydrogen spillover‐based binary (HSBB) system has attracted significant attention in alkaline hydrogen evolution reaction (HER). Accelerating hydrogen spillover in the HSBB system is crucial for the HER activity. Herein, a highly efficient HSBB system is developed by anchoring nano‐Ru on oxygen vacancy (Vo) rich amorphous/crystal ZrO2. Theoretical and experimental results reveal that the water molecules dissociate on the Vo of ZrO2 into protons, which then couple with electrons to form H*, and the produced H* are spilled over to the nano‐Ru to evolve H2. The amorphous regions enhance the adsorption and desorption rates of hydrogen while exposing a greater number of active sites; meanwhile, the Vo significantly reduce the work function of ZrO2, facilitates electron transfer from ZrO2 to Ru, and thereby accelerates hydrogen spillover. As a result, the Ru/ac‐ZrO2 delivers a low overpotential of 14 mV at 10 mA cm−2 and a high mass activity of 46.47 A mgmetal−2 at 300 mV for alkaline HER, bypass those of commercial Pt/C (19 mV and 0.09 A mgmetal−2, respectively).
Spatial Transcriptomics: Biotechnologies, Computational Tools, and Neuroscience Applications
Authors: Wang Qianwen , Zhu Hongyuan , Deng Lin , Xu Shuangbin , Xie Wenqin , Li Ming , Wang Rui , Tie Liang , Zhan Li , Yu Guangchuang 
Published: January 2025

AbstractSpatial transcriptomics (ST) represents a revolutionary approach in molecular biology, providing unprecedented insights into the spatial organization of gene expression within tissues. This review aims to elucidate advancements in ST technologies, their computational tools, and their pivotal applications in neuroscience. It is begun with a historical overview, tracing the evolution from early image‐based techniques to contemporary sequence‐based methods. Subsequently, the computational methods essential for ST data analysis, including preprocessing, cell type annotation, spatial clustering, detection of spatially variable genes, cell–cell interaction analysis, and 3D multi‐slices integration are discussed. The central focus of this review is the application of ST in neuroscience, where it has significantly contributed to understanding the brain's complexity. Through ST, researchers advance brain atlas projects, gain insights into brain development, and explore neuroimmune dysfunctions, particularly in brain tumors. Additionally, ST enhances understanding of neuronal vulnerability in neurodegenerative diseases like Alzheimer's and neuropsychiatric disorders such as schizophrenia. In conclusion, while ST has already profoundly impacted neuroscience, challenges remain issues such as enhancing sequencing technologies and developing robust computational tools. This review underscores the transformative potential of ST in neuroscience, paving the way for new therapeutic insights and advancements in brain research.
Recent Advances in Biosensors Based on Hybridization Chain Reaction and Silver Nanoclusters
Authors: Wong Zheng Wei , New Siu Yee 
Published: January 2025

AbstractHybridization chain reaction (HCR) and DNA‐templated silver nanoclusters (AgNCs) have emerged as powerful tools in biosensing. HCR enables cascade amplification through programmable DNA interactions, while DNA‐AgNCs serve as transducing units with unique fluorogenic and electrochemical properties. Integrating these components into a hybrid sensor could significantly enhance sensing capabilities across various fields. Nonetheless, limited studies and the lack of systematic guidelines for HCR‐AgNCs systems have hindered research progress, despite their potential. This review aims to address this gap by providing a comprehensive overview of HCR‐AgNCs biosensors, facilitating further innovation in this field. The working principles, performance factors, and complementary features are discussed. Thereafter, reported HCR‐AgNCs studies are assessed, emphasizing their distinct sensing mechanisms (e.g., fluorogenic, electrochemical), applications across various fields, and challenges in adopting the hybrid sensors. Drawing from the experience developing multiple HCR‐AgNCs sensors, insights and guidelines for designing and developing HCR‐AgNCs systems are provided for future researchers. Finally, prospective directions in HCR‐AgNCs research, including multiplex assays and integration with emerging technologies, are explored to guide future advancements. The synergistic combination of HCR and AgNCs as a hybrid biosensor holds promise for addressing pressing challenges in healthcare, environmental monitoring, and beyond, paving the way for next‐generation biosensing technologies.