Molecular Motors in Blood–Brain Barrier Maintenance by Astrocytes by Ana Filipa Sobral, Inês Costa, Vanessa Teixeira, Renata Silva, Daniel José Barbosa

“…The blood–brain barrier (BBB) comprises distinct cell types, including endothelial cells, pericytes, and astrocytes, and is essential for central nervous system (CNS) homeostasis by selectively regulating molecular transport and maintaining integrity. …”
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Printed Optoelectronic Memories Using Gr/WS2 Nanostructured Composite Ink for Retina‐Inspired Vision Persistent Synapses by Jiahui Bai, Qiuyan Wang, Qiaoqiao Zheng, Dong Liu, Hongbing Zhan, Renjing Xu, Jiajie Pei

“…Traditional fabrication methods are often complex, multistep processes that struggle to achieve lightweight, scalable, and flexible designs. …”
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State of Health Estimation for Lithium-Ion Batteries Based on TCN-RVM by Yu Zhao, Yonghong Xu, Yidi Wei, Liang Tong, Yiyang Li, Minghui Gong, Hongguang Zhang, Baoying Peng, Yinlian Yan

“…To address this, this paper proposes an SOH estimation method based on incremental capacity (IC) curves and a Temporal Convolutional Network—Relevance Vector Machine (TCN-RVM) model, with core innovations reflected in two aspects. Firstly, five health factors are extracted from IC curves, and the strong correlation between these features and SOH is verified using both Pearson and Spearman coefficients, ensuring the physical rationality and statistical significance of feature selection. …”
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Intelligent Functional Clustering and Spatial Interactions of Urban Freight System: A Data-Driven Framework for Decoding Heavy-Duty Truck Behavioral Heterogeneity by Ruixu Pan, Quan Yuan, Chen Liu, Jiaming Cao, Xingyu Liang

“…The results show that HDT travel patterns are not merely responses to freight demand but complex reflections of urban industrial structures, infrastructure networks, and policy environments. …”
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Design of Realistic and Artistically Expressive 3D Facial Models for Film AIGC: A Cross-Modal Framework Integrating Audience Perception Evaluation by Yihuan Tian, Xinyang Li, Zuling Cheng, Yang Huang, Tao Yu

“…We utilize physical rendering equations to explicitly separate surface reflectance from ambient lighting to achieve robust adaptation to complex lighting variations. …”
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A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications. by Rowan L Converse, Christopher D Lippitt, Steven E Sesnie, Grant M Harris, Matthew J Butler, David R Stewart

“…There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. …”
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RACF: A Multimodal Deep Learning Framework for Parkinson’s Disease Diagnosis Using SNP and MRI Data by Jiangbo Cao, Xiaojing Long

“…In contrast to traditional methods, deep learning models are capable of processing large-scale, high-dimensional, and complex datasets to automatically learn latent feature relationships, making them particularly suitable for scenarios involving multimodal data fusion. …”
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Simultaneous OPEX and carbon footprint reduction with hydrogen enhancement in autothermal reforming: a machine learning–based surrogate modeling and optimization framework by Sahar Shahriari, Davood Iranshahi

“…This integration facilitates interpretable learning dynamics and reliable convergence without the need for complex neural architectures or large-scale training data. …”
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Numerical Simulation Study on Stability Control Technology of Large-Area Wall Caving Area (LAWCA) in Large-Inclined Face by Xun Liu, Shihao Tu, Hongsheng Tu, Long Tang, Jieyang Ma, Yan Li, Wenlong Li, Kaijun Miao, Hao Tian

“…The Weibull distribution function is introduced to modify the elastic modulus parameters of the rock mass after excavation, which more accurately reflects the damage process of the rock mass after hole. …”
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Gas Vesicle-Assisted Ultrasound Imaging for Effective Anti-Tumour CAR-T Cell Immunotherapy Efficacy in Mice Model by Huang Y, Yin Z, Xu R, Zheng W, Zhang Q, Zhou M, Xu Z, He Y, Liu S, Liu H

“…This information is invaluable for the timely adjustment of auxiliary treatment strategies in clinical settings.Methods: We designed a gas vesicles (GVs)-labeled CAR-T (GVs@CAR-T) complex using nanoscale GVs with excellent ultrasound reflectivity to label CAR-T cells for post-labelling ultrasound molecular imaging.Results: GVs@CAR-T complexes achieved stable ultrasound imaging for up to five days. …”
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A Multi-Scale Fusion Convolutional Network for Time-Series Silicon Prediction in Blast Furnaces by Qiancheng Hao, Wenjing Liu, Wenze Gao, Xianpeng Wang

“…In this process, precisely controlling the temperature of the molten iron is indispensable for attaining efficient operations and high-grade products. This temperature is often indirectly reflected by the silicon content in the hot metal. …”
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The lived experiences of childhood trauma in war: has post-traumatic growth occurred? by Marzie Hashemi, Maryam Mahmoudzadeh

“…Participants were from a broad spectrum of ethnic backgrounds, reflecting the multiethnic diversity of the war-affected areas. …”
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Surrogate-Assisted Multi-Objective Snow Goose Algorithm With Gaussian Process for Cold Chain Logistics by Jian Wu, Zong-Juan Yang, Zhi-Gang Du, Ai-Qing Tian

“…The results demonstrate the algorithm’s high solution quality, computational efficiency, and scalability. Moreover, the GP-SAMOSGA outperforms traditional multi-objective optimization algorithms, making it a promising tool for complex logistics optimization tasks. …”
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The Essence and Content of Product Distribution as an Economic Category by Viktoriia Bozhkova, Mykhailo Bilukha

“…The authors propose to understand distribution as a complex system that ensures timely and efficient movement and sale of necessary products to end consumers in accordance with their needs and demands with a high level of service and realization of economic interests of participants. …”
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Risk-aware local traffic safety evaluation for autonomous new energy vehicles based on virtual force modeling by Huilan Li, Huilan Li, Yun Wan, Junning Shang, Xiangyang Xu

“…IntroductionEnsuring safe driving and effective risk control is critical for the dynamic operation of autonomous new energy vehicles (NEVs), particularly under complex traffic conditions. A key challenge lies in unifying risk assessment across diverse driving scenarios, which hinders reliable and adaptive risk management in autonomous systems.MethodsTo address this challenge, a local traffic risk evaluation framework tailored for NEVs is proposed, grounded in the principle of least action. …”
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Study on natural gas metering technology and pricing methods in China by Yunyun XIE, Yao SU, Pengtao LI, Fan ZHANG, Wenyao LIU, Jianwen GUO

“…ConclusionPromoting reforms in natural gas metering and pricing methods not only enhances resource utilization efficiency but also ensures market fairness and transparency. …”
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Mechanistic insight for T-cell exclusion by cancer-associated fibroblasts in human lung cancer by Joseph Ackermann, Chiara Bernard, Philemon Sirven, Helene Salmon, Massimiliano Fraldi, Martine D Ben Amar

“…These include exclusion of immune cells from the tumor nest, cancer progression, and inhibition of T-cell-based immunotherapy. To understand these complex interactions, we measure the density of different cell types in the stroma using immunohistochemistry techniques on tumor samples from lung cancer patients. …”
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Comparative study of NLFE models for simulating settlement-induced damage in masonry façades: macro- and simplified micro-models by Alfonso Prosperi, Michele Longo, Paul A. Korswagen, Giorgia Giardina, Jan G. Rots

“…Non-linear finite element modelling offers an effective approach for this purpose, though balancing model complexity, computational cost, and predictive reliability remains a key challenge. …”
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A Review of Microreactors for Process Intensification by Crizha Ann Bugay, Mae Czarella Caballas, Steven Brian Mercado, Jason Franco Rubio, Patricia Kayla Serote, Patrick Norman Villarte, Rugi Vicente C. Rubi

“…Fabrication techniques, including microfabrication, are essential for creating complex designs and ensuring reliability. This review addresses challenges and research gaps while showcasing the versatility of microreactors. …”
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A Novel Black Widow Optimization Algorithm Based on Lagrange Interpolation Operator for ResNet18 by Peiyang Wei, Can Hu, Jingyi Hu, Zhibin Li, Wen Qin, Jianhong Gan, Tinghui Chen, Hongping Shu, Mingsheng Shang

“…Consequently, adjustments are generally made through trial and error, thereby making the selection of the learning rate complex and time-consuming. …”
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