Radial Flow Component of Sun’s High-frequency Retrograde Inertial Waves by Chris S. Hanson, Vivek Menon, Shravan Hanasoge, Katepalli R. Sreenivasan

“…We demonstrate that this signal is indeed part of the HFR modes and not spatial leakage from prograde flows associated with magnetic regions. …”
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Risk analysis of distribution network outages under a typhoon–rainstorm–flood disaster chain by Hui Hou, Wenjie Wu, Ruizeng Wei, Huan He, Lei Wang, Zhengtian Li, Xiangning Lin

“…Second, a one‐dimensional pipe network and a two‐dimensional surface‐coupled urban flood model are constructed to predict flood depth based on the typhoon–rainstorm time series. …”
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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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Tree species classification using intensity patterns from individual tree point clouds by Andreas Tockner, Ralf Kraßnitzer, Christoph Gollob, Sarah Witzmann, Tim Ritter, Arne Nothdurft

“…However, recent studies assessing tree species labels on single tree point clouds have been insufficiently accurate in complex forest ecosystems; moreover, explainability of machine-learning methods used in published studies has been insufficient. Whether the predictions of black-box models suffer from over-fitting or whether they are based on characteristic species traits often remains unclear. …”
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Monitoring sub-arctic wetland vegetation using nested scales of spectrometry to inform multiple endmember spectral unmixing of Sentinel-2A imagery by Heidi Cunnick, Joan M Ramage, Dawn Magness, Stephen C Peters

“…We develop a bottom–up reference library for unmixing based on nested scales of data beginning with the highest resolution of a ground collected handheld spectral measurements, progressing to 1 m ^2 resolution using fused hyperspectral-LiDAR data, and then subsequently map predictively at the spatial resolution of the 10 m ^2 multi-spectral imagery of the European Space Agency’s Sentinel-2A. …”
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Retrospective evaluation of Facial nerve monitoring to prevent nerve damage during robotic drilling in the largest series of patients undergoing the HEARO-procedure. by Jaouad Abari, Marco Matulic, Pablo Galeazzi, Masoud Zoka Assadi, Paul Van de Heyning, Vedat Topsakal

“…Linear regression was used to determine if the minimum stimulation thresholds (FNM) could significantly predict the intra-operative distance (CBCT) between the drilled trajectory and the facial nerve. …”
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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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Bridging Sensor Gaps via Attention-Gated Tuning for Hyperspectral Image Classification by Xizhe Xue, Haokui Zhang, Haizhao Jing, Lijie Tao, Zongwen Bai, Ying Li

“…Instead of inserting additional parameters inside the basic model, we train a lightweight auxiliary branch that takes intermediate features as input from the basic model and makes predictions. …”
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Shafranov-shift destabilization of ballooning-type micro-instabilities by X. Jian, V. Chan, Z. Qiu, S. Ding, C. Holland, E. Bass, A. Garofalo, X. Liu

“…The reduced transport model TGLF can capture the physics reasonably well.…”
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Temporal generalization in evergreen leaf type classification using tailored Sentinel-2 composites by Peter Hofinger, Jan Dempewolf, Simon Ecke, Hans-Joachim Klemmt

“…Existing mapping approaches frequently suffer from spatial resolution limitations and temporal constraints. …”
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Planning for the future, algae bloom dynamics in water management and ecosystem restoration efforts by Paul Julian, William W. Walker, Donatto Surratt, Stephen E. Davis

“…The second model was a hierarchical model that used hydrodynamic and biogeochemical variables to predict chlorophyll-a concentrations across the lake. …”
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Resolving tumor microenvironment heterogeneity to forecast immunotherapy response in triple-negative breast cancer through multi-scale analysis by Shihao Sun, Shuang Chen, Kaiyuan Li, Ge Zhang, Ge Zhang, Ge Zhang, Nan Wang, Yijia Xu, Xinxing Wang, Jiangrui Chi, Lin Li, Yi Sun

“…Moreover, ISG15 may serve as an immunoregulatory biomarker, and the proposed predictive model demonstrated potential in forecasting immunotherapy response, although further validation is needed.ConclusionsThis study highlighted the cellular heterogeneity of TNBC and identified ISG15 as a candidate biomarker potentially associated with treatment response. …”
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Unsupervised semantic label generation in agricultural fields by Gianmarco Roggiolani, Julius Rückin, Marija Popović, Jens Behley, Cyrill Stachniss, Cyrill Stachniss

“…Using our generated labels to train deep learning models boosts our prediction performance on previously unseen fields with respect to unseen crop species, growth stages, or different lighting conditions. …”
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Landslide Susceptibility Level Mapping in Kozhikode, Kerala, Using Machine Learning-Based Random Forest, Remote Sensing, and GIS Techniques by Pradeep Kumar Badapalli, Anusha Boya Nakkala, Raghu Babu Kottala, Sakram Gugulothu, Fahdah Falah Ben Hasher, Varun Narayan Mishra, Mohamed Zhran

“…The RF model was trained and validated using a 50:50 split of landslide and non-landslide points, with variable importance values derived to weight each predictive factor of the raster layer in ArcGIS. …”
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The Intentional and Unintentional Human Food Subsidy Landscape for a Large Carnivore by Matthew M. Smith, David M. MacFarland, Jennifer L. Price Tack, Jonathan N. Pauli

“…We then predicted a human subsidy landscape that explored the spatial variation between intentional and unintentional sources and modeled the relationship between human food subsidies and conflict. …”
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Carbon balance dynamic evolution and simulation coupling economic development and ecological protection: a case study of Jiangxi Province at county scale from 2000–2030 by Yuliang Deng, Min Huang, Daohong Gong, Yong Ge, Hui Lin, Daoye Zhu, Yong Chen, Orhan Altan

“…This study introduces an analytical framework that couples economic development with ecological protection by using coupling coordination degree analysis, carbon balance zoning, and the Markov-PLUS model. Taking Jiangxi Province as a case study, we evaluate the spatio-temporal dynamics of carbon balance from 2000–2020 and predict future trends for 2030 under four potential development scenarios. …”
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Sevoflurane aggravates hypoxic-ischemic encephalopathy in preterm neonates via VGluT1 upregulation and myelinogenesis impairment by Minyang Qin, Dongyan Shi, Xiaoqian Song, Ruiqing Zhang, Zhaowei Feng, Longzhi Li

“…Behavioral assessments using the Morris water maze (MWM) revealed that sevoflurane significantly exacerbated HI-induced spatial learning and memory deficits. Immunohistochemical and Western blot analyses showed that sevoflurane exposure caused significant reductions in myelin basic protein (MBP) levels and disrupted oligodendrocyte maturation. …”
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The impact of future changes in climate variables and groundwater abstraction on basin-scale groundwater availability by S. R. Rusli, S. R. Rusli, V. F. Bense, S. M. T. Mustafa, A. H. Weerts, A. H. Weerts

“…In addition, three plausible groundwater abstraction scenarios with diverging predictions from increasing, constant, and decreasing volumes and spatial distributions are used. …”
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<i>Plasmodium falciparum</i> parasite prevalence in East Africa: Updating data for malaria stratification. by Victor A Alegana, Peter M Macharia, Samuel Muchiri, Eda Mumo, Elvis Oyugi, Alice Kamau, Frank Chacky, Sumaiyya Thawer, Fabrizio Molteni, Damian Rutazanna, Catherine Maiteki-Sebuguzi, Samuel Gonahasa, Abdisalan M Noor, Robert W Snow

“…Bayesian spatiotemporal model-based approaches were used to interpolate space-time data at fine spatial resolution adjusting for population, environmental and ecological covariates across the three countries. …”
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