A spatial imaging-transcriptomics paradigm for deciphering the molecular basis of microscopic MRI in the normal brain and Alzheimer’s disease by Yiqi Shen, Yao Shen, Menglei Wang, Kaiyu Jin, Penghui Yang, Zuozhen Cao, Qinfeng Zhu, Zhiyong Zhao, Haotian Li, Lei Han, Shiping Liu, Jie Liao, Jing Zhang, Xiaohui Fan, Dan Wu

“…The spatial imaging-transcriptomics paradigm provides an unprecedented high-resolution bridge between neuroimaging and transcriptomics, benefitting the decipherment of complex molecular events in brain disorders.…”
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High-Quality Damaged Building Instance Segmentation Based on Improved Mask Transfiner Using Post-Earthquake UAS Imagery: A Case Study of the Luding Ms 6.8 Earthquake in China by Kangsan Yu, Shumin Wang, Yitong Wang, Ziying Gu

“…However, post-earthquake scenes are complex, with many forms of damaged buildings. UAS imagery has a high spatial resolution, but the resolution is inconsistent between different flight missions. …”
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Testing the reliability of geometric morphometric and computer vision methods to identify carnivore agency using Bi-Dimensional information by Manuel Domínguez-Rodrigo, Marina Vegara-Riquelme, Juan Palomeque-González, Blanca Jiménez-García, Gabriel Cifuentes-Alcobendas, Marcos Pizarro-Monzo, Elia Organista, Enrique Baquedano

“…This low resolution is also reproduced when using a semi-landmark approach. …”
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Convolutional neural networks for sea surface data assimilation in operational ocean models: test case in the Gulf of Mexico by O. Zavala-Romero, O. Zavala-Romero, A. Bozec, E. P. Chassignet, J. R. Miranda, J. R. Miranda

“…However, these studies often rely on ocean models of intermediate complexity, which involve significant simplifications that present challenges when transitioning to full-scale operational ocean models. …”
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Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…This mechanism first uses the bilinear interpolation algorithm to adjust the spatial resolution of different scale feature maps to be consistent. …”
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The N-terminus of the RNA polymerase from infectious pancreatic necrosis virus is the determinant of genome attachment. by Stephen C Graham, L Peter Sarin, Mohammad W Bahar, Reg A Myers, David I Stuart, Dennis H Bamford, Jonathan M Grimes

“…We have purified, crystallized and solved the structure of IPNV VP1 to 2.3 Å resolution in its apo form and at 2.2 Å resolution bound to the catalytically-activating metal magnesium. …”
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Computational Fluid Dynamics-Based Modeling of Methane Flows Around Oil and Gas Equipment by Abhinav Anand, Stuart Riddick, Kira B. Shonkwiler, Aashish Upreti, Michael Moy, Elijah Kiplimo, Mercy Mbua, Daniel J. Zimmerle

“…These results help us to understand external flows and the ability of CFD models to predict downwind concentrations in aerodynamically complex environments.…”
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Forest aboveground biomass retrieval integrating ICESat-2, Landsat-8, and environmental factors by Sunjie Ma, Jisheng Xia, Chun Wang, Zhifang Zhao, Fuyan Zou, Maolin Zhang, Guize Luan, Ci Li, Xi Tu, Letian Li

“…This study proposes a more precise and effective methodology for forest monitoring in complex environments.…”
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Modern approaches to monitoring the ecological condition of lake ecosystem waters by Yu. S. Tuchkovenko, V. А. Ovcharuk, М. О. Martyniuk, Ye. І. Gazyetov, О. V. Zotova, V. M. Khokhlov, D. Jiang, A. N. Tyler

“…It has been established that the SENTINEL-2 MSI satellite images processed with the C2X-COMPLEX processor can be successfully used for the ecological state monitoring of the Danube lakes, in particular, the operational assessment of the spatio-temporal variability of such water quality indicators as the concentration of chlorophyll-a, total suspended matter and degree water transparency with a spatial resolution of 20-60 m per pixel. …”
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Assessment of Air Pollution and Lagged Meteorological Effects in an Urban Residential Area of Kenitra City, Morocco by Mustapha Zghaid, Abdelfettah Benchrif, Mounia Tahri, Amine Arfaoui, Malika Elouardi, Mohamed Derdaki, Ali Quyou, Moulay Laarbi Ouahidi

“…Complex mixtures of air pollutants, including ozone (O₃), carbon monoxide (CO), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), black carbon (BC), and fine particulate matter (PM_2.5), present significant health risks. …”
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Advances in Bedload Monitoring Technologies in Mountain Rivers by Ming LUO, Xingnian LIU, Wanbing PENG, Xiaokang WU, Yimin HE, Er HUANG

“…These regions pose unique challenges due to high flow rates, complex sediment compositions, and rapidly changing environmental conditions. …”
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Efficient Multi-Scale Transformer With Convolutional Attention for High-Definition Image Dehazing by Zhirui Wang

“…However, their computational complexity scales quadratically with image resolution, posing challenges for high-resolution tasks. …”
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The Multifaceted Health Benefits of Broccoli—A Review of Glucosinolates, Phenolics and Antimicrobial Peptides by Celia María Curieses Andrés, José Manuel Pérez de la Lastra, Elena Bustamante Munguira, Celia Andrés Juan, Eduardo Pérez-Lebeña

“…In addition, the methods of chiral resolution of racemates by HPLC are reviewed, explaining the different chiral fillers used for this resolution and a third section on resolution using the formation of diastereomeric complexes and subsequent separation on achiral columns. …”
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Early detection of woody plant encroachment in Canadian prairies using UAV imagery and transformer-based deep learning by Yihan Pu, Xiaojing Lu, Irini Soubry, Xulin Guo

“…SegFormer exhibited superior capability in distinguishing woody species using high resolution imagery, even at early growth stages. Our findings highlight the effectiveness of Transformers and high-resolution UAV imagery for precise woody species mapping, offering scalable solutions for grassland conservation and monitoring.…”
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Recovery from Mild Traumatic Brain Injury in the Nonathletic Population: A Systematic Review by Véronique Déry, Gabrielle Lafond, Rosemarie Picard, Pierre Langevin

“…The recovery criterion was the resolution of symptoms not attributable to pre-existing conditions. …”
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Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis by REN Ruijie, Fan Bihang, ZHANG Yaling, WANG Erqing, YANG Ruxin, HAN Xiaole, LIU Jintao, GUO Li

“…Integrating it with advancements in high-resolution databases and analytical techniques could overcome limitations related to localized quantification and discrete scales, enhancing the capacity to analyze global information within complex hydrological systems.ConclusionsThe results demonstrate that wavelet coherence analysis is an effective time-frequency tool for quantifying hillslope hydrological process connectivity. …”
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Large-area OLED substrate printing path planning method based on multi-head GAT imitation learning to solve partitioned integer programming by Jiacong Xiong, Jiankui Chen, Yiqun Li, Xiao Yue, Yu Fu, Zhouping Yin

“…In addition, the time complexity of the planning problem grows exponentially, denoted as O(mn), and the space complexity grows rapidly with the matrix dimension. …”
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Fully convolutional neural networks for processing observational data from small remote solar telescopes by Piotr Jóźwik-Wabik, Adam Popowicz

“…In our research, we investigate the impact of the amount of data and the complexity of FCNs on the quality of the results and their processing time. …”
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Cavity Microscope for Micrometer-Scale Control of Atom-Photon Interactions by Francesca Orsi, Nick Sauerwein, Rohit Prasad Bhatt, Jonas Faltinath, Ekaterina Fedotova, Nicola Reiter, Tigrane Cantat-Moltrecht, Jean-Philippe Brantut

“…As a result, most applications of cavity QED trade spatial resolution for enhanced sensitivity. Here, we propose and demonstrate a cavity-microscope device capable of controlling in space and time the coupling between atoms and light in a single-mode high-finesse cavity, reaching a spatial resolution an order of magnitude lower than the cavity-mode waist. …”
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YOLOv10n-Based Defect Detection in Power Insulators: Attention Enhancement and Feature Fusion Optimization by Zhihao Wei, Yan Wei

“…Aiming at the problems of low efficiency of traditional manual detection, the vulnerability of traditional image processing methods to environmental interference, and the insufficient ability of existing deep learning models to detect small target defects under complex backgrounds, this paper proposes an improved target detection model based on YOLOv10n, which is the first time to integrate the spatial channel attention mechanism (SEAttention) with the up-sampling expansion operation (Patch Expanding) in the Neck part of the model. …”
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