Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning by Narmilan Amarasingam, Juan Sandino, Ashray Doshi, Diana King, Elka Blackman, Johan Barthelemy, Barbara Bollard, Sharon A. Robinson, Felipe Gonzalez

“…Two DL methods were evaluated to classify and map Usnea spp., Umbilicaria and Pseudephebe species (black lichen), moss and non-vegetation: method (1) standalone DL model fitting, namely fully convolutional network (FCN), U-Net, and Deeplabv3+, with semi-automatic labelling thresholding using VIs; and method (2) ensemble stacking by using eXtreme gradient boosting (XGBoost) as the input model, whose predictions are used as features for training a U-Net model. …”
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Multi-omics analyses of the heterogenous immune microenvironment in triple-negative breast cancer implicate UQCRFS1 potentiates tumor progression by Yuhui Tang, Aiqi Xu, Zhongbiao Xu, Jindong Xie, Wei Huang, Liulu Zhang, Yitian Chen, Lu Yang, Shasha Du, Kun Wang

“…Particularly, IL32high Treg imparted an essential effect on tumor evasion and predicted a worsened prognosis of TNBC patients. Furthermore, MCI model enabled to notify the inferior prognosis and immunotherapy resistance in TNBC. …”
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Study on the improvement of cognitive deficits in APP/PS1 mice by danggui shaoyao san and its disassembled prescriptions through modulation of the gut microbiota by Xingduo Liu, Chaoqun Sun, Yuqiong Dai, Feifei Duan, Tianzhen He, Menglu Zhen, Enxi Liang, Shuting Zhang, Yun Xia, Nianchun Hu, Ruoting Zhan, Ruoting Zhan, Dong Deng, Sijun Liu

“…Beta diversity revealed structural divergence between treatment and model groups. Functional predictions highlighted enriched pathways (D-glutamine metabolism, bile acid biosynthesis) and suppressed antibiotic biosynthesis.ConclusionDanggui Shaoyao San and its disassembled prescriptions ameliorate AD-related cognitive impairment and gut dysbiosis, enhance microbial diversity, and modulate metabolic pathways, supporting their therapeutic potential via gut-brain axis regulation. …”
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A multisite validation of brain white matter pathways of resilience to chronic back pain by Mina Mišić, Noah Lee, Francesca Zidda, Kyungjin Sohn, Katrin Usai, Martin Löffler, Md Nasir Uddin, Arsalan Farooqi, Giovanni Schifitto, Zhengwu Zhang, Frauke Nees, Paul Geha, Herta Flor

“…Whole-brain tract-based spatial statistics analyses revealed that a cluster in the right superior longitudinal fasciculus (SLF) tract had larger fractional anisotropy (FA) values in patients who recovered (SBPr) compared to those with persistent pain (SBPp), and predicted changes in pain severity. …”
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Climate change impacts to foraging seascapes for a highly migratory top predator by Barbara Muhling, Stephanie Snyder, Elliott L. Hazen, Rebecca Whitlock, Jong-Yeon Park, Charles A. Stock, Barbara A. Block

“…Statistical species distribution models are commonly used to explain past patterns and anticipate future shifts. …”
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Wide-field electromagnetic method for deep hot dry rock fracturing monitoring: penetrating thick low-resistivity overburden by Shiyin Gao, Shiyin Gao, Wubing Deng, Juncheng Wang, Juncheng Wang, Juncheng Wang, Juncheng Wang, Mingzuan Xu, Mingzuan Xu

“…Key acquisition parameters were optimized via forward modeling, including transmitter-receiver distance (*r* = 15 km), current (I = 130 A), and electrode spacing (AB = 3,000 m, MN = 100 m).ResultsField data revealed distinct resistivity reduction zones (1,000→25 Ωm) spatially correlated with active fracturing wells, demonstrating WFEM’s ability to detect fluid-induced anomalies (Δρ up to 30%). …”
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Has the Three Gorges Reservoir Impacted Regional Moisture Recycling? by Jia Wei, Weiguang Wang, Mingzhu Cao, Jianyun Zhang, Junliang Jin, Guoqing Wang, Hongbin Li, Xiaolong Pan, Zongchao Ye, Adriaan J. Teuling, Shuo Wang

“…Although different forcing data and simulation time steps show good agreement in spatial and temporal variations in the recycled moisture, the local ERRs are larger when calculated from the UTrack model than from the WAM‐2layers model.…”
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LKVHAN: Multiscale Large Kernel Vertical-Horizontal Attention Network for Hyperspectral Image Classification by Xun Liu, Alex Hay-Man Ng, Xuejiao Liao, Fangyuan Lei, Jinchang Ren, Linlin Ge

“…Among deep learning-based hyperspectral image (HSI) classification models, convolutional neural networks (CNNs), transformers, Mamba, and large kernel CNNs (LKCNNs) models have been widely explored for HSI classification (HSIC). …”
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Synergistic hyperspectral and SAR imagery retrieval of mangrove leaf area index using adaptive ensemble learning and deep learning algorithms by Jun Sun, Weiguo Jiang, Bolin Fu, Hang Yao, Huajian Li

“…We further evaluated the performance of OHS (Zhuhai-1) hyperspectral and GF-3 SAR images in mapping the spatial distribution of the LAI in mangroves. Finally, the outputs of the AELR and DNNR models were interpreted, and the interactions between different image features were clarified to select the sensitive spectral ranges and vegetation indexes for estimating the mangrove LAI using SHAP (Shapley additive explanation). …”
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Dysfunctional immunity in the comorbidity of vitamin A deficiency and tuberculosis identifies therapeutic potential of vitamin A supplementation by Dr. Faye Lanni, Revanth Krishna, David Forrest Ackart, Victoria Mitcham, Sarah K Cooper, Connor King, Hadley Gary, Dr. Chuangqi Wang, Dr Brendan Podell

“…Methods: Using the guinea pig model of vitamin A deficiency and TB comorbidity, we evaluated immune parameters across multiple stages of TB disease progression. …”
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Sensitivity Analysis and Optimization of Urban Roundabout Road Design Parameters Based on CFD by Hangyu Zhang, Sihui Dong, Shiqun Li, Shuai Zheng

“…Secondly, the response surface model between the road design parameters of the roundabout and the pressure in the ring is constructed. …”
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Enhancing Regional Topsoil Total Nitrogen Mapping Through Differentiated Fusion of Ground Hyperspectral Data and Satellite Images Under Low Vegetation Cover by Rongpeng He, Jihua Meng, Yanfei Du, Zhenxin Lin, Xinyan You, Xinyu Gao

“…However, due to the weak spectral signals of STN and its spatial heterogeneity, hyperspectral imaging technology presents significant potential for high-resolution measurements and precise characterization of STN heterogeneity. …”
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Groundwater–CO₂ emissions relationship in Dutch peatlands derived by machine learning using airborne and ground-based eddy covariance data by L. M. van der Poel, L. V. Bataille, B. Kruijt, W. Franssen, W. Jans, J. Biermann, A. Rietman, A. J. V. Buzacott, Y. van der Velde, R. Boelens, R. W. A. Hutjes

“…We make use of the different strengths of tower and airborne data, temporal continuity, and spatial heterogeneity. We apply time frequency wavelet analysis and a footprint model to relate the measured fluxes to the underlying surface. …”
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New insights into Cretaceous hydrocarbon accumulation and its significance for hydrocarbon exploration in Hashan area, northwestern margin of Junggar Basin by Yansheng QU, Ningning ZHONG, Shengzhu WANG, Bin WANG, Hongzhou YU, Jian ZHOU, Qianqian WU, Hongli LU

“…A Cretaceous accumulation model was established and validated through 3D seismic interpretation and drilling data. …”
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A study on the mechanism of Bushen Kaiqiao Formula in modulating microglial activation to alleviate neuroinflammation in ADHD by Jiaqi Zhang, Ruxin Sun, Yu Xiong, Yuting Yang, Jing Wang, Kanglin Zhu, Xinqiang Ni, Min Huang

“…Methods: Ultra-high-performance liquid chromatography coupled with a tandem mass spectrometer (UHPLC-MS/MS) was used to qualitatively analyze the chemical composition of Bushen Kaiqiao Formula, and network pharmacology was applied to predict its potential therapeutic targets and ADHD-related pathways ADHD-like behaviors, including hyperactivity, impulsivity, spatial memory, and attention, were assessed using the Open Field Test, Elevated Plus Maze, and Y-Maze Test at weeks 2 and 4. …”
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WCMU-net: An Effective Method for Reducing the Impact of Speckle Noise in SAR Image Change Detection by Yu Duan, Kaimin Sun, Wangbin Li, Jinjiang Wei, Song Gao, Yingjiao Tan, Wanghui Zhou, Jun Liu, Junyi Liu

“…To address the issue of low SNR in SAR images, we construct a deep learning network focused on feature exploration and utilization to effectively distinguish between noise and change information. The model initially employs discrete wavelet decomposition to extract high-frequency bands for noise reduction. …”
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Adjusting for seasonal harvest bias in the lactation index for white‐tailed deer management by Kamen L. Campbell, Bronson K. Strickland, Stephen Demarais, Phillip D. Jones, Guiming Wang, Chad M. Dacus, Christopher Cook, W. Matt Knox

“…We grouped populations into 18 regions based on median conception date and tested 12 models using year and region as possible random effects. …”
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LegacyVegetation: Northern Hemisphere reconstruction of past plant cover and total tree cover from pollen archives of the last 14 kyr by L. Schild, L. Schild, P. Ewald, P. Ewald, C. Li, C. Li, R. Hébert, T. Laepple, T. Laepple, U. Herzschuh, U. Herzschuh, U. Herzschuh

“…<p>With rapid anthropogenic climate change, future vegetation trajectories are uncertain. Climate–vegetation models can be useful for predictions, but they require extensive data on past vegetation for validation and improving systemic understanding. …”
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East Asian aerosol cleanup has likely contributed to the recent acceleration in global warming by Bjørn H. Samset, Laura J. Wilcox, Robert J. Allen, Camilla W. Stjern, Marianne T. Lund, Sharar Ahmadi, Annica Ekman, Maxwell T. Elling, Luke Fraser-Leach, Paul Griffiths, James Keeble, Tsuyoshi Koshiro, Paul Kushner, Anna Lewinschal, Risto Makkonen, Joonas Merikanto, Pierre Nabat, Larissa Narazenko, Declan O’Donnell, Naga Oshima, Steven T. Rumbold, Toshihiko Takemura, Kostas Tsigaridis, Daniel M. Westervelt

“…Here we show, using a large set of simulations from eight Earth System Models, how a time-evolving 75% reduction in East Asian sulfate emissions partially unmasks greenhouse gas-driven warming and influences the spatial pattern of surface temperature change. …”
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A dextrorotatory residues-incorporated bioactive dodecapeptide against enterohemorrhagic Escherichia coli by Ping Zeng, Xuemei Yang, Kwok-Yin Wong, Sheng Chen, Kin-Fai Chan, Sharon Shui Yee Leung, Lanhua Yi

“…Its antibacterial mechanisms and application in a real food system are assessed. Methods: Spatial conformation of synthetic peptide zp39 (GIIAGIIiKIKk-NH2, lowercase letters indicate dextrorotatory amino acids) was predicted by PEPstrMOD and its secondary structure was further determined by circular dichroism (CD) spectroscopy. …”
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