A Semantic Segmentation Method for Remote Sensing Images Based on an Improved TransDeepLab Model by Jinxin Wang, Manman Wang, Kaiwei Cong, Zilong Qin

Subjects: “…deep learning…”
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Shallow-water mussels (Mytilus galloprovincialis) adapt to deep-sea environment through transcriptomic and metagenomic insights by Luyang Sun, Xiaolu Liu, Li Zhou, Hao Wang, Chao Lian, Zhaoshan Zhong, Minxiao Wang, Hao Chen, Chaolun Li

“…This study examined transcriptomic and microbiome changes in shallow-water mussels Mytilus galloprovincialis exposed to deep-sea conditions at the Site-F cold seep in the South China Sea. …”
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Longitudinal Screening for Diabetic Retinopathy in a Nationwide Screening Program: Comparing Deep Learning and Human Graders by Jirawut Limwattanayingyong, Variya Nganthavee, Kasem Seresirikachorn, Tassapol Singalavanija, Ngamphol Soonthornworasiri, Varis Ruamviboonsuk, Chetan Rao, Rajiv Raman, Andrzej Grzybowski, Mike Schaekermann, Lily H. Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Rory Sayres, Fred Hersch, Richa Tiwari, Yun Liu, Paisan Ruamviboonsuk

“…To evaluate diabetic retinopathy (DR) screening via deep learning (DL) and trained human graders (HG) in a longitudinal cohort, as case spectrum shifts based on treatment referral and new-onset DR. …”
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Differences in Cortical Representation and Structural Connectivity of Hands and Feet between Professional Handball Players and Ballet Dancers by Jessica Meier, Marlene Sofie Topka, Jürgen Hänggi

“…Here we aimed at investigating sport-specific adaptations in professional handball players and ballet dancers by focusing on the primary motor and somatosensory grey matter (GM) representation of hands and feet using voxel-based morphometry as well as on fractional anisotropy (FA) of the corticospinal tract by means of diffusion tensor imaging-based fibre tractography. …”
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Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion by Yue Hou, Zhiyuan Deng, Hanke Cui

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Use of DIABAX feed additive and a biogenic stimulant in calves during their rehabilitation after gastrointestinal infections by N. V. Shanshin

“…The results of the use of DIABAX feed additive alone and in combination with a biogenic stimulant for the correction of biochemical, hematological blood parameters in young cattle after gastrointestinal infections taking into account the disease and survival rates, as well as their performance indicators are presented. …”
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Thermal Characteristics and Kinetics of the Thermal Degradation of Sugar Beet Waste Leaves and Pulp in Relation to Chemical Composition by Sanja Ostojić, Darko Micić, Josipa Dukić, Iva Sabljak, Ayça Akyüz, Seda Ersus, Anet Režek Jambrak

Subjects: “…sugar beet leaves…”
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A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications by Rowan L. Converse, Christopher D. Lippitt, Steven E. Sesnie, Grant M. Harris, Matthew J. Butler, David R. Stewart

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Detecting glacial lake water quality indicators from RGB surveillance images via deep learning by Zijian Lu, Xueyan Zhu, Jinfeng Li, Mingyue Li, Jie Wang, Wenqiang Wang, Yili Zheng, Qianggong Zhang

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Research on temperature detection method of liquor distilling pot feeding operation based on a compressed algorithm by Xiaolian LIU, Shaopeng Gong, Xiangxu Hua, Taotao Chen, Chunjiang Zhao

“…The number of parameters, GLOPs and model size of YOLO v5ns-DP have been reduced by 28.6%, 16.5%, and 26.4%, respectively, and the mAP has been improved by 0.6. …”
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Retracted: Analysis of Feature Extraction and Anti-Interference of Face Image under Deep Reconstruction Network Algorithm by null Complexity

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Exploring Natural Deep Eutectic Solvents (NADES) for Enhanced Essential Oil Extraction: Current Insights and Applications by Luis Acosta-Vega, Alejandro Cifuentes, Elena Ibáñez, Paula Galeano Garcia

“…However, traditional extraction methods often result in low yields, inconsistent compositions, lengthy extraction times, and the use of potentially harmful solvents. Natural deep eutectic solvents (NADES) have emerged as promising alternatives, offering advantages such as higher efficiency, cost-effectiveness, biodegradability, and tunable properties. …”
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Deep visual proteomics reveals DNA replication stress as a hallmark of signet ring cell carcinoma by Sonja Kabatnik, Xiang Zheng, Georgios Pappas, Sophia Steigerwald, Matthew P. Padula, Matthias Mann

“…Abstract Signet Ring Cell Carcinoma (SRCC) is a rare and highly malignant form of adenocarcinoma with increasing incidence and poor prognosis due to late diagnosis and limited treatment options. We employed Deep Visual Proteomics (DVP), which combines AI-directed cell segmentation and classification with laser microdissection and ultra-high sensitivity mass spectrometry, for cell-type-specific proteomic analysis of SRCC across the bladder, prostate, seminal vesicle, and a lymph node of a single patient. …”
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Lesion Distribution and Epidemiology of Mycobacterium bovis in Elk and White-Tailed Deer in South-Western Manitoba, Canada by Todd K. Shury, Doug Bergeson

“…Period prevalence in elk was approximately six times higher than deer, suggesting a significant reservoir role for elk, but that infected deer may also be involved. …”
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DeepExtremeCubes: Earth system spatio-temporal data for assessing compound heatwave and drought impacts by Chaonan Ji, Tonio Fincke, Vitus Benson, Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Fabian Gans, Guido Kraemer, Francesco Martinuzzi, David Montero, Karin Mora, Oscar J. Pellicer-Valero, Claire Robin, Maximilian Söchting, Mélanie Weynants, Miguel D. Mahecha

“…Despite recent progress in deep learning to ecosystem monitoring, there is a need for datasets specifically designed to analyse compound heatwave and drought extreme impact. …”
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Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning by Alejandro Baldominos, Yago Saez, Pedro Isasi

“…The field was introduced in the late-1980s, but only in the latest years the field has become mature enough to enable the optimization of deep learning models, such as convolutional neural networks. …”
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Space and Time Resolved Detection of Platelet Activation and von Willebrand Factor Conformational Changes in Deep Suspensions by Jacopo Biasetti, Kaushik Sampath, Angel Cortez, Alaleh Azhir, Assaf A. Gilad, Thomas S. Kickler, Tobias Obser, Zaverio M. Ruggeri, Joseph Katz

“…Tracking cells and proteins’ phenotypic changes in deep suspensions is critical for the direct imaging of blood-related phenomena in in vitro replica of cardiovascular systems and blood-handling devices. …”
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Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

Subjects: “…deep learning…”
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Study on Deformation and Failure Characteristics of Surrounding Rock of Overlying Roadway under Upward Mining in the Deep Mine by Teng-Gen Xiong, Ju-Cai Chang, Kai He, Ya-Feng Su, Chao Qi

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Modification Research of the Internal Substructure Method for Seismic Wave Input in Deep Underground Structure-Soil Systems by Xin Bao, Jingbo Liu, Dongyang Wang, Shutao Li, Fei Wang, Xiaofeng Wang

“…However, in previous research and applications, the internal substructures are usually intercepted down from the free surface, which forms large substructures and increases the computational effort for data management on the substructure nodes, especially for deep underground structures. In this study, the internal substructure method is modified by intercepting the internal substructures entirely beneath the free surface and adjacently around the underground structures. …”
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