Comparative Genomics Reveals Evidence of the Genome Reduction and Metabolic Potentials of <i>Aliineobacillus hadale</i> Isolated from Challenger Deep Sediment of the Mariana Trench by Shaofeng Yang, Jie Liu, Yang Liu, Weichao Wu, Jiahua Wang, Yuli Wei

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Deep Outer‐Rise Faults in the Southern Mariana Subduction Zone Indicated by a Machine‐Learning‐Based High‐Resolution Earthquake Catalog by Han Chen, Hongfeng Yang, Gaohua Zhu, Min Xu, Jian Lin, Qingyu You

“…In this study we deployed an ocean bottom seismometer (OBS) network near the Challenger Deep in the Southernmost Mariana Trench, between December 2016 and June 2017, covering both the overriding and subducting plates. …”
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The transcendent space of transformation by Antonio Ochoa

“…These states in-between challenge deep seated cultural notions about issues from beauty to morality, which ultimately are a representation of the struggle between the constant transformation of nature and the human need to control the passing of time and its inevitable consequence. …”
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Asynchronous Wireless Signal Modulation Recognition Based on In-Phase Quadrature Histogram by Xu Zhang, Xi Hui, Pengwu Wan, Tengfei Hui, Xiongfei Li

“…To address these challenges, deep learning-based modulation mode recognition technique is investigated in this paper for low-speed asynchronous sampled signals under channel conditions with varying SNR and delay. …”
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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…Manual identification of DFU is particularly difficult due to their diverse visual characteristics, leading to multiple cases going undiagnosed. To address this challenge, Deep Learning (DL) methods offer an efficient and automated approach to facilitate timely treatment and improve patient outcomes. …”
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Biomedical named entity recognition using improved green anaconda-assisted Bi-GRU-based hierarchical ResNet model by Ram Chandra Bhushan, Rakesh Kumar Donthi, Yojitha Chilukuri, Ulligaddala Srinivasarao, Polisetty Swetha

“…To overcome these challenges, deep learning (DL) methods have emerged. However, DL-based NER methods may need help identifying long-distance relationships within text and require significant annotated datasets. …”
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