Accelerating phase field simulations through a hybrid adaptive Fourier neural operator with U-net backbone by Christophe Bonneville, Nathan Bieberdorf, Arun Hegde, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta

“…For one such process as liquid-metal dealloying (LMD), phase field models have been developed to understand the mechanisms leading to complex morphologies. However, the LMD governing equations in these models often involve coupled non-linear partial differential equations (PDE), which are challenging to solve numerically. …”
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Red Raspberry Maturity Detection Based on Multi-Module Optimized YOLOv11n and Its Application in Field and Greenhouse Environments by Rongxiang Luo, Xue Ding, Jinliang Wang

“…In order to achieve accurate and rapid identification of red raspberry fruits in the complex environments of fields and greenhouses, this study proposes a new red raspberry maturity detection model based on YOLOv11n. …”
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THREE-DIMENSIONAL VELOCITY STRUCTURE OF THE CRUST IN CENTRAL LAKE BAIKAL FROM LOCAL SEISMIC TOMOGRAPHY by L. Yu. Eponeshnikova, A. A. Duchkov, D. P.-D. Sanzhieva, S. V. Yaskevich

“…Synthetic tests provide substantiation for the resolution of the tomographic inversion algorithm. The seismic structure of the crust was obtained to a depth of 35 km and has a direct relationship with the geological structure. …”
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Structural insights into calcium-dependent CIB2-TMC1 interaction in hair cell mechanotransduction by Yahong Li, Jiasheng Chen, Wenli Jiang, Jin Ye, Xuan Zhang, Chao Wang

“…Utilizing X-ray crystallography, we elucidate the high-resolution structure of the mammalian CIB2-TMC1 complex. …”
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Use of a Method for Contour Analysis of Radiation Images of Malignant Breast Tumors on the Basis of Retrospective Material by M. K. Mikhailov, E. A. Romanycheva, V. V. Sevast’yanov, Ya. A. Furman

“…Digital copies of images having a resolution of 600 dpi were obtained for subsequent computer processing. …”
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Specialized Pro-Resolving Lipid Mediators in Pulmonary Diseases: Molecular and Therapeutic Implications by Ángel Ortega, Pablo Duran, Bermary Garrido, Alexander Manzano, Carolina Navarro, Aljadis Silva, Milagros Rojas, Juan Bautista De Sanctis, Danuta Radzioch, Diego Rivera-Porras, Carlos Silva Paredes, Valmore Bermúdez

“…Inflammatory lung diseases (ILDs) represent a global public health crisis characterized by escalating prevalence, significant morbidity, and substantial mortality. In response to the complex immunopathogenic mechanisms driving these conditions, novel pharmacological strategies targeting resolution pathways have emerged throughout the discovery of specialized pro-resolving lipid mediator (SPM; resolvins, maresins, and protectins) dysregulation across the ILD spectra, positioning these endogenous molecules as promising therapeutic candidates for modulating maladaptive inflammation and promoting tissue repair. …”
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Ancestral sequence reconstruction as a tool for structural analysis of modular polyketide synthases by Taichi Chisuga, Shota Takinami, Zengwei Liao, Masayuki Karasawa, Naruhiko Adachi, Masato Kawasaki, Toshio Moriya, Toshiya Senda, Tohru Terada, Fumitaka Kudo, Tadashi Eguchi, Shogo Nakano, Sohei Ito, Akimasa Miyanaga

“…After confirming that KSQAncAT chimeric didomain retains similar enzymatic function to the native KSQAT didomain, we successfully determine a high-resolution crystal structure of the KSQAncAT chimeric didomain and cryo-EM structures of the KSQ–ACP complex. …”
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Artificial Intelligence-Based Uveitis Diagnosis Through Retinal Vasculature Analysis: A Paradigm Shift in Ocular Tuberculosis by Ikhwanuliman Putera, Jose D. Vargas Quiros, Saskia M. Rombach, Willem A. Dik, P. Martin van Hagen, Rina La Distia Nora

“…Abstract Introduction Diagnosis of uveitis is complex and often requires a series of investigations. …”
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PRONAME: a user-friendly pipeline to process long-read nanopore metabarcoding data by generating high-quality consensus sequences by Benjamin Dubois, Mathieu Delitte, Salomé Lengrand, Claude Bragard, Anne Legrève, Frédéric Debode

“…Evaluations using a mock community have shown that PRONAME delivers consensus sequences demonstrating at least 99.5% accuracy with standard settings (and up to 99.7%), making it a robust tool for genomic analysis of complex multi-species communities.ConclusionPRONAME meets the challenges of long-read Nanopore data processing, offering greater accuracy and versatility than existing pipelines. …”
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A new integrated neurosymbolic approach for crop-yield prediction using environmental data and satellite imagery at field scale by Khadija Meghraoui, Teeradaj Racharak, Kenza Ait El Kadi, Saloua Bensiali, Imane Sebari

“…This indicator is heavily influenced by numerous environmental factors, particularly those related to soil and climate, which present a challenging task due to the complex interactions involved. In this paper, we introduce a novel integrated neurosymbolic framework that combines knowledge-based approaches with sensor data for crop-yield prediction. …”
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Unsupervised Classification for Circulating Tumor Cells by Ling An, Haibo Hu, Mengke Song, Lin Cheng, Shuo Ba, Zhaocong Liu, Zhuohang Yu, Zhenyu Zhang, Yi Liu, Chichun Zhou

“…In contrast, intelligent cell recognition and classification using low-resolution microscopy images allows faster detection. …”
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Impact of Sea Surface Temperature on City Temperature near Warm and Cold Ocean Currents in Summer Season for Northern Hemisphere by Muhammad Farhan Ul Moazzam, Byung Gul Lee, Sanghyun Kim

“…Overall, this research highlights the complex interplay between SST and urban temperatures, demonstrating how ocean currents and urbanization can influence temperature trends differently in cities at similar latitudes.…”
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Modeling collective behavior in groups of mice housed under semi-naturalistic conditions by Xiaowen Chen, Maciej Winiarksi, Alicja Puścian, Ewelina Knapska, Thierry Mora, Aleksandra M Walczak

“…In social behavior research, the focus often remains on animal dyads, limiting the understanding of complex interactions. Recent trends favor naturalistic setups, offering unique insights into intricate social behaviors. …”
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Towards consistently measuring and monitoring habitat condition with airborne laser scanning and unmanned aerial vehicles by W. Daniel Kissling, Yifang Shi, Jinhu Wang, Agata Walicka, Charles George, Jesper E. Moeslund, France Gerard

“…Indicators of habitat condition are essential for tracking conservation progress, but measuring biotic, abiotic and landscape characteristics at fine resolution over large spatial extents remains challenging. …”
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Post-disaster building damage assessment based on gated adaptive multi-scale spatial-frequency fusion network by Bo Yu, Yao Sun, Jiansong Hu, Fang Chen, Lei Wang

“…Accurate building damage assessment is crucial for post-disaster response, yet existing methods struggle to capture complex spatial relationships and contextual features needed for distinguishing damage levels. …”
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In Situ Proliferating Peptide Nanoparticle Augments Multi‐Target Intervention of Secondary Brain Damage Following Subarachnoid Hemorrhage by Yibin Zhang, Peisen Yao, Fuxiang Chen, Shufa Zheng, Xuegang Niu, Haojie Wang, Yuanxiang Lin, Bin Gao, Dezhi Kang

“…Abstract Subarachnoid hemorrhage (SAH), a lethal stroke subtype, involves complex pathological cascades triggered by neuro‐glial units for persistent neuroinflammation, oxidative damage and programmed neuronal cell death. …”
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ResGAT-F: a novel graph neural network-based approach for evaluating landing suitability in the lunar southern polar region by Shibo Wen, Yongzhi Wang, Xingyu Chen, Qizhou Gong, Jianzhong Liu, Xiaoxi Kang, Hengxi Liu, Kai Zhu, Sheng Zhang

“…The ResGAT-F in handling complex, multi-dimensional lunar data shows potential for supporting future landing missions and improving lunar exploration planning.…”
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Deep Learning Model for Precipitation Nowcasting Based on Residual and Attention Mechanisms by Zhan Zhang, Qingping Song, Minzheng Duan, Hailei Liu, Juan Huo, Congzheng Han

“…This study provides a new approach to refined forecasting of complex precipitation systems, and future work will combine multi-source data fusion with physical constraint mechanisms to further enhance precipitation event prediction capabilities.…”
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Cryo-EM Structures and AlphaFold3 Models of Histamine Receptors Reveal Diverse Ligand Binding and G Protein Bias by Anqi Chen, Chenxi Su, Zisu Zhang, Haitao Zhang

“…<b>Methods:</b> We determined the cryo-electron microscopy (cryo-EM) structure of the H4R-histamine-Gi complex at 2.9 Å resolution, and predicted the models for all four HRs in the ligand-free apo and G protein subtype binding states using AlphaFold3 (AF3). …”
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Selective manipulation of excitatory and inhibitory neurons in top-down and bottom-up visual pathways using ultrasound stimulation by Yehhyun Jo, Xiaojia Liang, Hong Hanh Nguyen, Yeonseo Choi, Minji Choi, Ga-Eun Bae, Yakdol Cho, Jiwan Woo, Hyunjoo Jenny Lee

“…Introduction: Techniques for precise manipulation of neurons in specific neural pathways are crucial for excitatory/inhibitory (E/I) balance and investigation of complex brain circuits. Low-intensity focused ultrasound stimulation (LIFUS) has emerged as a promising tool for noninvasive deep-brain targeting at high spatial resolution. …”
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