Limited Benefits of Increased Spatial Resolution for Sea Ice in HighResMIP Simulations by J. Selivanova, D. Iovino, M. Vichi

“…Limited improvements are reported in the simulated historical sea ice trends, which are nevertheless model‐dependent, and associated with the use of model components with more complex sea‐ice parameterizations. Given the high computational cost of climate‐scale simulations at high spatial resolution, we advocate prioritizing enhancements in sea‐ice physics and the interactions among model components in coupled climate simulations.…”
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DECODE enables high-throughput mapping of antibody epitopes at single amino acid resolution. by Katsuhiko Matsumoto, Shoko Y Harada, Shota Y Yoshida, Ryohei Narumi, Tomoki T Mitani, Saori Yada, Aya Sato, Eiichi Morii, Yoshihiro Shimizu, Hiroki R Ueda

“…Furthermore, to demonstrate the applicability of DECODE to more complex blood antibodies, we performed epitope analysis using serum antibodies from mice with experimental autoimmune encephalomyelitis (EAE). …”
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Resolution of the Generalized Eigenvalue Problem in the Neutron Diffusion Equation Discretized by the Finite Volume Method by Álvaro Bernal, Rafael Miró, Damián Ginestar, Gumersindo Verdú

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A high-resolution electric vehicle charging transaction dataset with multidimensional features in China by Yuanshi Zhang, Tongxin Xu, Tao Chen, Qinran Hu, Hongrui Chen, Xukun Hu, Zilv Jiang

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Identification of VOC emission hotspots in industrial parks by high-spatiotemporal-resolution sensor networks by Xiaocan Bai, Yuhan Huang, Yanhui Wang, Ziyi Wang, Xue Li, Ruixue Du, Manyun Long, Huawei Zhang, Yan Tan, Ting Liu, Chun Chen, Xianhui Fan, Yanru Xu, Jinping Cheng, Shengao Jing, Zizhen Ma, Zehui Li, Jingkun Jiang

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Development of deep learning models for high-resolution exposome mapping and health impact assessment by Lan Luan, Zhu Daoyu

“…IntroductionThe study of environmental health and the exposome is becoming increasingly vital as researchers aim to untangle the complex interactions between environmental exposures and human health outcomes. …”
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Genetic Determination of a Cryptic Species in the Littoraria Genus With Whole‐Genome Molecular Resolution by Jia‐Wei Xu, Jie Wang, Yun‐Wei Dong

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Low resolution remote sensing object detection with fine grained enhancement and swin transformer by Zhijing Xu, Xin Wang, Kan Huang, Ren Chen

“…Abstract Object detection in remote sensing images is a highly complex and challenging task. Remote sensing images typically suffer from issues such as small target sizes and densely distributed targets. …”
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Discrimination of the Skin Cells from Cellular-Resolution Optical Coherence Tomography by Deep Learning by Jui-Yun Yi, Sheng-Lung Huang, Shiun Li, Yu-You Yen, Chun-Yeh Chen

“…Optical coherence tomography (OCT) is a cellular-resolution imaging technique that can be used as non-invasive and real-time imaging and is useful for detecting early stages of diseases. …”
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The Scalable Detection and Resolution of Data Clumps Using a Modular Pipeline with ChatGPT by Nils Baumgartner, Padma Iyenghar, Timo Schoemaker, Elke Pulvermüller

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The State of High‐Resolution Imaging of the Human Inner Ear: A Look Into the Black Box by Shelley Batts, Nancy Pham, Guillermo Tearney, Konstantina M. Stankovic

“…Abstract Unlike most medical fields, otology has not benefited from the transformative impact of high‐resolution, cellular‐level imaging. The sensorineural cells required for human hearing—located within the cochlea—are just 10–50 µm, placing them outside the resolution of magnetic resonance imaging, computed tomography, and positron emission tomography. …”
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High resolution X-ray microtomography as a tool for observation and classification of individual microplastics by Átila de Paiva Teles, Marcus Vinicius Santos da Silva, Davi Ferreira de Oliveira, Ricardo Tadeu Lopes

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PERE: Prior-Enhanced and Resolution-Extended Object Detection for Industrial Laminated Panel Scenes by Haoyu Wang, Yiqiang Wu, Jinshuo Liang, Xie Xie

“…REN incorporates super-resolution information during the upsampling process to minimize the risk of missing tiny targets. …”
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Multitemporal Difference and Dynamic Optimization Framework for Multiscale Motion Satellite Video Super-Resolution by Qian Zhao, Youming Guo, Lei Min, Changhui Rao

“…However, these methods perform poorly in handling complex satellite video scenes and diverse moving objects. …”
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Dual-Path Large Kernel Learning and Its Applications in Single-Image Super-Resolution by Zhen Su, Mang Sun, He Jiang, Xiang Ma, Rui Zhang, Chen Lv, Qiqi Kou, Deqiang Cheng

“…This remarkable result not only validates the effectiveness of the present model in complex image super-resolution tasks but also highlights its superior performance and unique advantages in the field.…”
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Well logging super-resolution based on fractal interpolation enhanced by BiLSTM-AMPSO by Jian Han, Yu Deng, Bing Zheng, Zhimin Cao

“…However, the vertical resolution of conventional well logging data is often insufficient to handle the fine-scale characterization tasks of complex unconventional reservoirs. …”
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Multi-Sensor Integration and Machine Learning for High-Resolution Classification of Herbivore Foraging Behavior by Bashiri Iddy Muzzo, Kelvyn Bladen, Andres Perea, Shelemia Nyamuryekung’e, Juan J. Villalba

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Secure Indoor Water Level Monitoring with Temporal Super-Resolution and Enhanced Yolov5 by Sui Guo, Jiazhi Huang, Yuming Yan, Peng Zhang, Benhong Wang, Houming Shen, Zhe Yuan

“…Specifically, to enhance the quality of indoor monitoring images, we propose a temporal super-resolution enhancement module. This module processes low-resolution water-level images to generate high-resolution outputs, thereby enabling reliable detection even in suboptimal conditions. …”
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Scale effects in mangrove mapping from ultra-high-resolution remote sensing imagery by Hanwen Zhang, Shan Wei, Xindan Liang, Yiping Chen, Hongsheng Zhang

“…It delineates complex boundaries in diverse coastal settings while preserving the structural integrity of fragmented patches. …”
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MBGPIN: Multi-Branch Generative Prior Integration Network for Super-Resolution Satellite Imagery by Furkat Safarov, Ugiloy Khojamuratova, Misirov Komoliddin, Furkat Bolikulov, Shakhnoza Muksimova, Young-Im Cho

“…Extensive experiments on benchmark datasets such as UC Merced, NWPU-RESISC45, and RSSCN7 demonstrate that the MBGPIN achieves superior performance compared to state-of-the-art methods, including large-scale super-resolution models. The MBGPIN delivers a higher peak signal-to-noise ratio (PSNR) and higher structural similarity index measure (SSIM) scores while preserving high-frequency details and complex textures. …”
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