A generative deep neural network for pan-digestive tract cancer survival analysis by Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai

“…The experiments conducted on digestive tract cancer datasets demonstrate that GDEC exhibits exceptional performance compared to other advanced methodologies and can separate different cancer molecular subtypes that possess both statistical and biological significance. …”
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Application of the ESTARFM algorithm for fusing Sentinel-2 and MODIS NDSI series in the eastern Qilian Mountains by Hui Guo, Xiaoyan Wang, Zhiqi Ouyang, Siyong Chen, Tao Che, Zhaojun Zheng

“…Overall, ESTARFM implemented on GEE can generate reliable and accurate NDSI series, which have advantages over traditional singular datasets, and fusion images created from these series are suitable for describing the snow cover variations in regional-scale areas. …”
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CTSG is a prognostic marker involved in immune infiltration and inhibits tumor progression though the MAPK signaling pathway in non-small cell lung cancer by Qian Dai, Xufeng Yao, Yanke Zhang, Qian Chai, Xueyi Feng, Hongbin Zhu, Lei Zhao

“…Bioinformatic analysis of clinical datasets was conducted to evaluate the correlation between CTSG and lymph node metastasis, tumor stage, and immune cell infiltration. …”
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Water-Matching CAM: A Novel Class Activation Map for Weakly-Supervised Semantic Segmentation of Water in SAR Images by Kai Wang, Zhongle Ren, Biao Hou, Feng Sha, Zhiyang Wang, Weibin Li, Licheng Jiao

“…Experiments on three datasets of SAR images taken by the GF-3 and Sentinel-1 satellite verify the validity of water-matching CAM. …”
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Towards Personalized Radiotherapy in Pelvic Cancer: Patient-Related Risk Factors for Late Radiation Toxicity by Anna C. Nuijens, Arlene L. Oei, Nicolaas A. P. Franken, Coen R. N. Rasch, Lukas J. A. Stalpers

“…Advances in artificial intelligence now allow for the identification of SNP patterns from large datasets, supporting the development of polygenic risk scores. …”
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SAR Image Simulation for Crater Terrain Using Formation Theory-Based Modeling and Hybrid Ray-Tracing by Ya-Ting Zhou, Yongsheng Zhou, Qiang Yin, Fei Ma, Fan Zhang

“…This research could contribute to the creation of comprehensive crater terrain datasets and support the application of SAR technology for damage assessment purposes.…”
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Degrade or Super-Resolve to Recognize? Bridging the Domain Gap for Cross-Resolution Face Recognition by Klemen Grm, Berk Kemal Ozata, Alperen Kantarci, Vitomir Struc, Hazim Kemal Ekenel

“…Our experiments on the SCFace and DroneSURF datasets reveal that the success of face hallucination is highly dependent on the quality of the original images, since poor image quality can severely limit the effectiveness of the hallucination technique. …”
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Object-Level Contrastive-Learning-Based Multi-Branch Network for Building Change Detection from Bi-Temporal Remote Sensing Images by Shiming Li, Fengtao Yan, Cheng Liao, Qingfeng Hu, Kaifeng Ma, Wei Wang, Hui Zhang

“…We validate the effectiveness of the proposed method through comparative experiments on the publicly available WHU-CD and S2Looking datasets. Our approach achieves IoU values of 88.54% and 51.94%, respectively, surpassing state-of-the-art methods for building change detection.…”
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Statewide Forest Canopy Cover Mapping of Florida Using Synergistic Integration of Spaceborne LiDAR, SAR, and Optical Imagery by Monique Bohora Schlickmann, Inacio Thomaz Bueno, Denis Valle, William M. Hammond, Susan J. Prichard, Andrew T. Hudak, Carine Klauberg, Mauro Alessandro Karasinski, Kody Melissa Brock, Kleydson Diego Rocha, Jinyi Xia, Rodrigo Vieira Leite, Pedro Higuchi, Ana Carolina da Silva, Gabriel Maximo da Silva, Gina R. Cova, Carlos Alberto Silva

“…This study demonstrates the potential of integrating multiple remote sensing datasets to produce accurate vegetation maps, supporting forest management and sustainability efforts in Florida.…”
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A Review: Potential of Earth Observation (EO) for Mapping Small-Scale Agriculture and Cropping Systems in West Africa by Niklas Heiss, Jonas Meier, Ursula Gessner, Claudia Kuenzer

“…Our findings highlight the predominance of high to very high-resolution, multispectral sensors as the primary data source and we observe that a wide array of available sensors and datasets, along with increasing computing capacities, have shaped the field over the last years. …”
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FAM210B activates STAT1/IRF9/IFIT3 axis by upregulating IFN-α/β expression to impede the progression of lung adenocarcinoma by Xuejuan Gao, Donglan Huang, Ying Liu, Gui Zhang, Xiaofen Zheng, Baiye Guan, Aiwen Chen, Jiayao Wu, Shi-Ming Luo, Zonghua Liu, Luxuan Chen, Xiaohui Liu, Jingjie Jin, Xingfeng Yin, Zhenghua Sun, Yunfang Zhang, Meizhi Lu, Gong Zhang, Wanting Liu, Langxia Liu

“…In this study, FAM210B was observed to be down-regulated in LUAD cells. Analyses of public datasets revealed that decreased expression of FAM210B predicts poor survival. …”
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Eoldist, a Web Application for Estimating Cautionary Detection Distance of Birds by Automatic Detection Systems to Reduce Collisions With Wind Turbines by Julie Fluhr, Olivier Duriez, Constance Blary, Thierry Chambert, Bettina Almasi, Patrik Byholm, Nelleke H. Buitendijk, Jocelyn Champagnon, Mindaugas Dagys, Wolfgang Fiedler, Charlotte Francesiaz, Frédéric Jiguet, Simon Lee, Alexandre Millon, Flavio Monti, Lucile Morcelet, Ran Nathan, Bart A. Nolet, Rascha Nuijten, Philippe Pilard, Cécile Ponchon, Alexandre Roulin, Carlos D. Santos, Orr Spiegel, Kim Schalcher, Aurélie De Seynes, Geert Spanoghe, Martin Wikelski, Ramunas Žydelis, Aurélien Besnard

“…We compiled a database of the flight speeds of 168 Western Palearctic birds from a review of scientific literature supplemented by an analysis of unpublished GPS‐tracking datasets. To estimate turbine shutdown time, we conducted 137 field trials of experimental shutdown at seven wind farms and found that the duration to reach residual rotor speeds of 3 or 2 rotations per minute (rpm) was respectively 32.2 or 38.8 s on average. …”
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Multi-Scale Long- and Short-Range Structure Aggregation Learning for Low-Illumination Remote Sensing Imagery Enhancement by Yu Cao, Yuyuan Tian, Xiuqin Su, Meilin Xie, Wei Hao, Haitao Wang, Fan Wang

“…The network sufficiently leverages the specific long-range and short-range structures of the input LI image for superior enhancement performance, as demonstrated by extensive experiments on both synthetic and real datasets.…”
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Studying Air Pollutants Origin and Associated Meteorological Parameters over Seoul from 2000 to 2009 by Sunmin Park, Hesham El-Askary, Ismail Sabbah, Hanbin Kwak, Anup K. Prasad, Woo-Kyun Lee, Menas Kafatos

“…The corresponding satellite datasets, namely, aerosol optical depth (AODsat), Ångström exponent, and fine mode fraction, collected from moderate resolution imaging spectroradiometer (MODIS) as well as the Aeronet ground aerosol optical depth (AODaeronet), have been analyzed. …”
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Benchmarking Vision-Based Object Tracking for USVs in Complex Maritime Environments by Muhayy Ud Din, Ahsan Baidar Bakht, Waseem Akram, Yihao Dong, Lakmal Seneviratne, Irfan Hussain

“…We benchmarked the performance of seven distinct trackers, developed using advanced deep learning techniques such as Siamese Networks and Transformers, by evaluating them on both simulated and real-world maritime datasets. In addition, we evaluated the robustness of various control algorithms in conjunction with these tracking systems. …”
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Comprehensive analysis of ESCRT transcriptome-associated signatures and identification of the regulatory role of LMO7-AS1 in osteosarcoma by Shibing Zhao, Dasheng Tian, Fei Huang, Lei Wang, Jinhao Cheng, Zhitao He, Qitian Shen, Shuai Liang, Deliang Gong, Jun Liu, Chengfeng Yi, Chun Zhang, Erbao Bian, Juehua Jing, Tao Wang

“…Analysis of internal and external datasets revealed that the ERG signature has good predictive ability and reproducibility. …”
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Minimal sourced and lightweight federated transfer learning models for skin cancer detection by Vikas Khullar, Prabhjot Kaur, Shubham Gargrish, Anand Muni Mishra, Prabhishek Singh, Manoj Diwakar, Anchit Bijalwan, Indrajeet Gupta

“…Both, identically and non-identically distributed datasets of shape $$\:32\times\:32\times\:3$$ have been applied and analyzed through federated learning implementations. …”
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FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection by Taojun Zhu, Zikai Zhao, Min Xia, Junqing Huang, Liguo Weng, Kai Hu, Haifeng Lin, Wenyu Zhao

“…FTA-Net outperforms state-of-the-art methods on three challenging CD datasets, and it have fewer parameters (4.93M) and lower computational cost (6.71 G).…”
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Atrial fibrillation and cognitive impairment: mechanisms, influencing factors, and prospects by Li-Juan Huang, Jian-Shu Chen, Yu-Zhe Song, Peng Chang

“…This high incidence of cognitive decline in AF patients may result from various mechanisms, including reduced cerebral perfusion, microembolism, decreased cardiac output, and chronic inflammation.MethodsThis review synthesizes current evidence on the relationship between AF and cognitive impairment, examines underlying mechanisms of cognitive decline in AF, and explores the roles of AF type, treatment approaches, left atrial characteristics, and associated conditions in cognitive function outcomes.ResultsCognitive outcomes in AF are further influenced by a range of factors, such as left atrial structural parameters, AF type and duration, anticoagulation use, catheter ablation, comorbidities, age, and gender.DiscussionThe review highlights the complex interplay between AF and cognitive impairment, emphasizing the importance of understanding the various mechanisms and factors that contribute to cognitive decline in AF patients. …”
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Uncommon Occurrences of Air Embolism: Description of Cases and Review of the Literature by Giorgio Berlot, Adriano Rinaldi, Marco Moscheni, Massimo Ferluga, Perla Rossini

“…The classical risk factors associated with gas embolism like indwelling central venous catheters, diving accidents, etc. are rather well known and thus somewhat preventable; however, a number of less common and difficult-to-recognize causes can determine this condition, making the correct diagnosis elusive and delaying the hyperbaric oxygen therapy, whose window of opportunity is rather narrow. …”
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