Federated Knowledge Distillation With 3D Transformer Adaptation for Weakly Labeled Multi-Organ Medical Image Segmentation by Tareq Mahmod AlZubi, Hamza Mukhtar

“…To address these challenges, we propose the Federated 3D Knowledge Distillation Network (Fed3D-KDNet), a hybrid federated learning (FL) framework that integrates both global and local knowledge distillation mechanisms. Our model adapts the Segment Anything Model (SAM) for volumetric medical imaging by introducing architectural enhancements, including 3D spatial feature adapters and an Auto Prompt Generator (APG), to optimize spatial representation and reduce reliance on manually crafted prompts. …”
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Effect of fibroblast heterogeneity on prognosis and drug resistance in high-grade serous ovarian cancer by Tingjie Wang, Lingxi Tian, Bing Wei, Jun Li, Cuiyun Zhang, Ruitao Long, Xiaofei Zhu, Yougai Zhang, Bo Wang, Guangbo Tang, Jun Yang, Yongjun Guo

“…Finally, we constructed a panel of 24 genes through statistical modeling that correlate with CXCL12-positive fibroblasts and can predict both prognosis and the response to chemotherapy in HGSOC patients. …”
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Late Quaternary fluctuation in upper range limit of trees shapes endemic flora diversity on the Tibetan Plateau by Jinfeng Xu, Tao Wang, Xiaoyi Wang, Christian Körner, Xianyong Cao, Eryuan Liang, Yongping Yang, Shilong Piao

“…We integrated satellite-derived upper range limit of trees, dendrochronological data, and fossil pollen records with a paleoclimate dataset in a climate-driven predictive model to reconstruct the spatio-temporal upper range limit of trees at 100-year intervals since the Last Glacial Maximum. …”
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Generative Artificial Intelligence-Enabled Facility Layout Design Paradigm by Fuwen Hu, Chun Wang, Xuefei Wu

“…Domain-specific knowledge graphs, constructed by parsing AAS metadata and enriched by large language models (LLMs), capture multifaceted relationships (e.g., spatial adjacency, process dependencies, safety constraints) to guide layout generation. …”
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Matching of Observation Footprints in the FY-3G MWRI-RM Using BGI by Ke Chen, Bowen Cai, Wei Han, Zihao Suo

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Low-cost water level measurement technologies for assessing the impact of climate change and storm surges in coastal areas, suitable for citizen science initiatives by Juan Francisco Martinez-Osuna, Juan Francisco Martinez-Osuna, Viviana Piermattei, Giovanni Coppini, Marco Marcelli, Marco Marcelli

“…These variables provide critical context for interpreting hydrological and oceanographic measurements, enhancing the accuracy of predictive models, and contributing to the development of more robust Early Warning Systems. …”
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Improving kidney segmentation in pathological images: a multiscale approach to resolve fragmentation and incomplete boundaries by Muhammad Wajeeh Us Sima, Chengliang Wang, Muhammad Arshad, Jamshed Ali Shaikh, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Ammar Muthanna

“…We evaluated InFeNet on two datasets, where it outperformed state-of-the-art models, demonstrating superior accuracy and predictive performance. …”
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Losartan as a mechanotherapeutic adjuvant: Remodeling the breast tumor microenvironment to improve treatment efficacy. by Mutaz Dwairy, Alaa Yehya, Feras M Mohammad, Hiba Alzoubi

“…Furthermore, tumor cell concentration decreased by 88%, reflecting the drug's dual anti-proliferative and pro-apoptotic effects. Spatial analyses revealed heterogeneity in stiffness reduction and drug response, emphasizing the importance of tumor geometry and perfusion. …”
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Comparer les tempêtessur le temps long en quantifiant les dommages : proposition d’un nouvel outil by Emmanuelle Athimon, Mohamed Maanan, Pierre Pouzet

“…By combining the estimation of the importance of the damage and the spatial framework, this method leads to a “reasoned” coding, less subjective, with reduction of the risks of over or underestimate. …”
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Decoupling both local and global abundance from global range size, challenging the abundance-occupancy relationship in birds by Shinichi Nakagawa, William K Cornwell, Corey T Callaghan

“…The existence of this empirical relationship has informed both theory development and applied questions. Notably, the spatial neutral model of biodiversity predicts AORs. …”
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Spatiotemporal patterns and environmental determinants of wildlife-vehicle collisions in Banke National Park, Nepal by Narayan Prasad Koju, K. C. Anish, Keshav Dodhari, Pratikshya Giri, Miriam Lee, Sudip Pokhrel, Asmina Ghimire, Lila Nyaichyai, Kenneth Otieno Onditi, Xuelong Jiang, Randall C. Kyes

“…The methodological approach integrated field surveys, spatial analyses using kernel density estimation, and statistical modelling to pinpoint collision hotspots and elucidate contributing factors. …”
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Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province by Yao Zhang, Qiao-Lin Wang, Wei Peng, Meng-Yuan Zhang, Yao Qin, Lun Zhang, Rong-Jie Wei, Dian-Ju Kang

“…Additionally, precipitation displayed a U-shaped relationship with BD risk in both the Subtropical Semi-Humid and Plateau Cold Climate Zones.ConclusionThis study developed a climate zone-specific predictive model for BD, systematically evaluating the interactions between environmental factors and BD dynamics. …”
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Integrating PROSPECT-D physics and adversarial domain adaptation resnet for robust cross-ecosystem plant traits estimation by Hui Zhang, Haoxuan Su, Tie Shen, Guangyao Sun, Qi Wang

“…Challenges such as data heterogeneity, domain shifts, and sparse in situ measurements further hinder model generalization. To address these limitations, this study developed PPADA-Net, a novel framework integrating PROSPECT-D radiative transfer modeling with adversarial domain adaptation for robust cross-ecosystem plant trait prediction. …”
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Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data by Wanting Yang, Daniel Ortiz-Gonzalo, Xiaoye Tong, Dimitri Gominski, Rasmus Fensholt

“…Traditional mapping methods are hindered not only by spectral similarity between agroforests and forests, but also by the spatial heterogeneity of forest-agroforest frontiers and the high data demand at large scales is an additional challenge. …”
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Spatiotemporal Impacts of Urban Structure and Socioeconomic Factors on Carbon Dioxide Emissions: A Case Study of the Yangtze River Delta Urban Agglomeration by Zhechen Zhou, Su Xu, Jun Wang, Haitao Shen

“…The results show the following: (a) The spatial differentiation of urban structures between cities was obvious, and 4 landscape indices showed significant spatial autocorrelation. …”
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Construction and Analysis of Slope Plane Deformation of High CFRD Based on Statistical Analysis of Multi‐Points Monitoring Data by Xiongxiong Zhou, Wenjun Cai, Qiujiang He, Jing Zhou, Bingqian Zhou

“…Based on the actual monitoring data of the Hongjiadu CFRD, this paper comprehensively analyzes the influence of the filling process, water level change, and time effect on the settlement of the CFRD during the construction and impoundment periods, and establishes the settlement statistical model of all monitoring points. By studying the relationship between the parameters of the settlement statistical model of each monitoring point and its own position coordinates, a spatial–temporal distribution model of the dam slope plane is established by using the thin plate spline interpolation method, and it is used to predict the settlement of the dam slope plane. …”
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Investigating socioeconomic deprivation and antibiotic prescribing among older medicare patients using an instrumental variable approach by Mayar Al Mohajer, David Slusky, David Nix, Catia Nicodemo

“…The IV analysis then examined the relationship between predicted SDI and antibiotic days supplied (ln). Linear regression models estimated associations between SDI and its components, and antibiotic days supplied, adjusting for prescriber, beneficiary, and geographic factors. …”
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Improved estimation of two-phase capillary pressure with nuclear magnetic resonance measurements via machine learning by Oriyomi Raheem, Misael M. Morales, Wen Pan, Carlos Torres-Verdín

“…Recently, artificial intelligence methods have also been applied to capillary pressure prediction (Qi et al., 2024).Currently, no readily applicable predictive model exists for estimating an entire capillary pressure curve directly from standard petrophysical logs and core data. …”
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Optimal control prevents itself from eradicating stochastic disease epidemics. by Rachel Russell, Nik J Cunniffe

“…Our illustration uses examples based on simulation of the spatial spread of plant disease but similar issues would be expected in any deterministic model where infection is driven close to zero.…”
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Multi-Phase Trajectory Planning for Wind Energy Harvesting in Air-Launched UAV Swarm Rendezvous and Formation Flight by Xiangsheng Wang, Tielin Ma, Ligang Zhang, Nanxuan Qiao, Pu Xue, Jingcheng Fu

“…The trajectory planning method is formalized as an optimal control problem (OCP) that ensures spatial–temporal coordination, inter-vehicle collision avoidance, and incorporates a 3-degree of freedom kinematic model of UAVs, extending wind energy harvesting trajectory optimization from an individual UAV to swarm-level applications. …”
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