Structure-guided deep learning for back acupoint localization via bone-measuring constraints by Yulong Wang, Tian Lan, Wenjian Dou, Zhi Chen, Song Zhang, Gong Chen, Gong Chen

“…The method employs an HRFormer backbone network combined with a Structure-Guided Keypoint Estimation Module (SG-KEM) and a structure-constrained loss function, ensuring anatomically consistent predictions within a standardized spatial coordinate system to improve accuracy across diverse body types. …”
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Rapid Disaster Data Dissemination and Vulnerability Assessment through Synthesis of a Web-Based Extreme Event Viewer and Deep Learning by P. Shane Crawford, Mohammad A. Al-Zarrad, Andrew J. Graettinger, Alexander M. Hainen, Edward Back, Lawrence Powell

“…Extracted building images were used to train a deep learning neural network to predict whether a building was elevated or nonelevated. …”
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Quantitative Vulnerability Assessment of Buildings Exposed to Landslides Under Extreme Rainfall Scenarios by Guangming Li, Dong Liu, Mengjiao Ruan, Yuhua Zhang, Jun He, Zizheng Guo, Haojie Wang, Mengchen Cheng

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Plasma-wall interaction impact of the ITER re-baseline by R.A. Pitts, A. Loarte, T. Wauters, M. Dubrov, Y. Gribov, F. Köchl, A. Pshenov, Y. Zhang, J. Artola, X. Bonnin, L. Chen, M. Lehnen, K. Schmid, R. Ding, H. Frerichs, R. Futtersack, X. Gong, G. Hagelaar, E. Hodille, J. Hobirk, S. Krat, D. Matveev, K. Paschalidis, J. Qian, S. Ratynskaia, T. Rizzi, V. Rozhansky, P. Tamain, P. Tolias, L. Zhang, W. Zhang

“…Boundary plasma (SOLPS-ITER) and integrated core–edge (JINTRAC) simulations, including W erosion and transport, clearly indicate the tendency for a self-regulating W sputter source in limiter configurations and highlight the importance of on-axis electron cyclotron power deposition to prevent W core accumulation in the early current ramp phase. These predicted trends are found experimentally in dedicated W limiter start-up experiments on the EAST tokamak. …”
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Changes in forest ecosystem stability under climate change in a temperate landscape by Pavithra Rangani Wijenayake, Takuto Shitara, Akiko Hirata, Tetsuya Matsui, Tetsuya Matsui, Yasuhiro Kubota, Takashi Masaki

“…We hypothesize that even with the expected changes in climate, the structural stability of the species assembly will remain unchanged until the end of this century. We modeled the influence of climate change on the spatial distribution of major tree species in a temperate deciduous forest reserve using local and regional presence data. …”
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New approaches to unveil the unknown: oxygen depletion and internal eutrophication in a Baltic lagoon over decades by Gerald Schernewski, Gerald Schernewski, Thomas Neumann, Sarah Piehl, Mario von Weber

“…This approach allows us to assess the duration, spatial extent, and ecological impacts of oxygen depletion in the Oder/Szczecin Lagoon, located in the southern Baltic Sea. …”
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Ordinal METAR Cloud Cover Classification in Sentinel-2 Satellite Data by Markus Gotz, Erik Wessel, Ugur Cayoglu, Babak Jahani, Charlotte Debus, Jan Cermak, Achim Streit

“…This work proposes a novel approach for predicting cloud cover in global satellite images by leveraging ordinal point labels from ground-based weather stations, rather than relying on spatially resolved cloud masks, and demonstrates the effectiveness of this approach using a rank loss-based convolutional neural network of the EfficientNet family. …”
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A strontium (87Sr/86Sr) isoscape of Southern Ethiopia: implications for hominin land use and faunal mobility patterns by Seminew Asrat, Seminew Asrat, Francesco Lucchini, Mary Anne Tafuri, Caterina Aureli, Marina Gallinaro, Andrea Zerboni, Marianna Fusco, Enza E. Spinapolice

“…The results show that our novel baseline isoscape displayed heterogeneous 87Sr/86Sr isotope ratios in both the measured and predicted values (ranging from 0.703 to 0.712), consistent with geological units, with an accurate model performance evaluated through Leave-One-Out Cross-Validation (LOOCV) technique. …”
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Possible Systematic Rotation in the Mature Stellar Population of a z = 9.1 Galaxy by Tsuyoshi Tokuoka, Akio K. Inoue, Takuya Hashimoto, Richard S. Ellis, Nicolas Laporte, Yuma Sugahara, Hiroshi Matsuo, Yoichi Tamura, Yoshinobu Fudamoto, Kana Moriwaki, Guido Roberts-Borsani, Ikkoh Shimizu, Satoshi Yamanaka, Naoki Yoshida, Erik Zackrisson, Wei Zheng

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Rice Disease Detection: TLI-YOLO Innovative Approach for Enhanced Detection and Mobile Compatibility by Zhuqi Li, Wangyu Wu, Bingcai Wei, Hao Li, Jingbo Zhan, Songtao Deng, Jian Wang

“…Finally, this study adopted the WIoUv3 loss function and added a dynamic non-monotonic aggregation mechanism to the standard IoU calculation to more accurately evaluate and penalize the difference between the predicted and actual bounding boxes, thus improving the robustness and generalization ability of the model. …”
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Sensitivity assessment and simulation of ecosystem services in response to land use change in arid regions: Empirical evidence from Xinjiang, China by Xiaoyun Li, Chunsheng Wu

“…An improved framework for assessing and simulating ecosystem services combining a modified equivalent factor method, a future land use simulation (FLUS) model, and a cross-sensitivity analysis is proposed. …”
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Transitional Housing and the Family Capacity Building Planner: An Urban Graduation Approach for Improving the Mental Health and Well-Being of Poor Households in Hong Kong by Siu-Ming Chan, Heng Xu, Yuen-Ki Tang, Kim Kwok, Ka-Man Leung

“…Together, these interventions address the multidimensional challenges of urban poverty while fostering sustainable improvements in residents’ capacity to achieve housing security and economic stability. (4) Conclusions: The integration of transitional housing with capacity-building services demonstrates the effectiveness of the Urban Graduation Approach in addressing urban poverty. This model highlights the importance of viewing housing not merely as a physical shelter but as a comprehensive infrastructure for well-being that combines spatial improvements with targeted social support. …”
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Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping: The Case of Western Greece by Stavroula Alatza, Alexis Apostolakis, Constantinos Loupasakis, Charalampos Kontoes, Martha Kokkalidou, Nikolaos S. Bartsotas, Georgios Christopoulos

“…The gradient-boosted decision tree was employed in the landslide susceptibility mapping. The model was trained on three geotectonic units and five prefectures of Western Greece and performed well in predicting landslide events. …”
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Multi‑feature geological hazard susceptibility assessment by integrating improved ResNet and transfer learning: A case study of the Loess Plateau in Northern Shaanxi by Hao Cheng, Chong Xu, Rong Guo, Hai-kun Jing, Zeng-lin Hong, Feng-chen Fu, Ruo-shu Li

“…This study addressed the issues of insufficient feature utilization, poor spatial coherence, and weak generalization in conventional models for Geological hazard susceptibility assessment (GHSA) on the Loess Plateau in Northern Shaanxi. …”
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Atmospheric Deposition of Phosphorus to the Everglades: Concepts, Constraints, and Published Deposition Rates for Ecosystem Management by Garth W. Redfield

“…With better sampling methods and more long-term monitoring data, the importance of atmospheric P deposition in ecosystem dynamics and management can be better understood and predicted.…”
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Segmentation of the iliac crest from CT-data for virtual surgical planning of facial reconstruction surgery using deep learning by Stefan Raith, Tobias Pankert, Jônatas de Souza Nascimento, Srikrishna Jaganathan, Florian Peters, Mathias Wien, Frank Hölzle, Ali Modabber

“…In all cases, the bones were identified as contiguous objects in the correct spatial orientation. The geometries of the iliac crests were consistently and completely recognized on both sides without any gaps. …”
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Studying attention to IPCC climate change maps with mobile eye-tracking. by Doga Gulhan, Bahador Bahrami, Ophelia Deroy

“…This study examines trends in visual attention to climate change predictions in world maps using mobile eye-tracking while participants engage with the visualisations. …”
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High temperatures will likely limit establishment success of the Brazilian peppertree thrips, Pseudophilothrips ichini (Thysanoptera: Phlaeothripidae) in the USA, despite variation... by Nathan Harms, Megann Harlow, Ian Knight, Aaron Schad

“…We measured upper limit of chill injury zone (ULCIZ) and lower limit of thermal injury zone (LLTIZ) in the laboratory under multiple combinations of temperature and exposure duration then modeled spatial variation in survival based on detailed weather data over 20 years. …”
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The Role of [18F]FDG PET Imaging for the Assessment of Pulmonary Lymphangitic Carcinomatosis: A Comprehensive Narrative Literature Review by Francesco Dondi, Pietro Bellini, Michela Cossandi, Luca Camoni, Roberto Rinaldi, Gian Luca Viganò, Francesco Bertagna

“…Emerging digital PET/CT systems, with enhanced spatial resolution, may improve the detection of focal PLC and reduce false negatives. …”
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Microenvironment-confined kinetic elucidation and implementation of a DNA nano-phage with a shielded internal computing layer by Decui Tang, Shuoyao He, Yani Yang, Yuqi Zeng, Mengyi Xiong, Ding Ding, Weijun Wei, Yifan Lyu, Xiao-Bing Zhang, Weihong Tan

“…However, it is quite difficult to involve nanobodies into molecular computation with programmed recognition order because of the “always-on” response mode and the inconvenient molecular programming. Here we propose a spatial segregation-based molecular computing strategy with a shielded internal computing layer termed DNA nano-phage (DNP) to program nanobody into DNA molecular computation and build a series of kinetic models to elucidate the mechanism of microenvironment-confinement. …”
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