“Brick‐Mortar‐Binder” Design toward Highly Elastic, Hydrophobic, and Flame‐Retardant Thermal Insulator by Shanying Sui, Huafeng Quan, Jingxing Wang, Yufang Lu, Yufan Yang, Yuhan Sheng, Zhifang Sun, Yi Zhang

“…However, achieving high environmental adaptability aerogel insulators with elasticity, hydrophobicity, flame‐retardancy, and low temperature tolerance remains a significant challenge. Inspired by a “brick‐mortar‐binder” biomimetic texture, a layered double hydroxide/carboxylated cellulose nanofibers/Si–O–Si (LCS) hybrid aerogel is developed by bottom‐up freeze‐drying. …”
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Analysis of Air Quality and Health Co-Benefits under Low Carbon Pathway in Taiwan by Hsin-Chih Lai, Shih-Ming Chung, Li-Ling Li, Wen-Yinn Lin, Min-Chuan Hsiao

“…Abstract Climate change has been proven to have adverse effects on human health and ecosystems, especially, the continuous increase in greenhouse gas emissions that are able to drive extreme weather events around the world. Besides greenhouse gas emissions and air pollution also have a mutual relationship. …”
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Machine learning algorithm for predict the in-hospital mortality in critically ill patients with congestive heart failure combined with chronic kidney disease by Xunliang Li, Zhijuan Wang, Wenman Zhao, Rui Shi, Yuyu Zhu, Haifeng Pan, Deguang Wang

“…Among the six models generated, the eXtreme Gradient Boosting (XGBoost) model demonstrated the highest AUC at 0.837. …”
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Substrate system outperforms water-culture systems for hydroponic strawberry production by George Kerrigan Hutchinson, Lan Xuan Nguyen, Zilfina Rubio Ames, Krishna Nemali, Rhuanito Soranz Ferrarezi

“…Strawberries (Fragaria × ananassa) are a globally cultivated fruit crop known for their economic significance and versatility in both fresh markets and processed food industries. …”
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Equitable transportation and resilience hubs: Analysis of underserved population needs, usage, and travel behaviour by Thayanne G.M. Ciriaco, Syeda Narmeen Zehra, Veronica Wambura, Stephen D. Wong

“…Extreme weather events and other hazardous events often require a range of strategies to safely shelter people, distribute resources, and facilitate recovery efforts. …”
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Revolutionizing radiotherapy: gold nanoparticles with polyphenol coating as novel enhancers in breast cancer cells—an in vitro study by Simona Tarantino, Annalisa Bianco, Mariafrancesca Cascione, Alessandra Carlà, Lia Fiamà, Riccardo Di Corato, Livia Giotta, Paolo Pellegrino, Anna Paola Caricato, Rosaria Rinaldi, Valeria De Matteis

“…Traditional AuNPs synthesis methods involve harmful chemicals and extreme conditions, posing health risks. Green synthesis methods using plant extracts offer a safer and more environmentally friendly alternative. …”
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Probability of rainfall-induced landslides coupled with effective-duration threshold and soil moisture by Kailiang Zhao, Haijun Qiu, Ya Liu, Zijing Liu, Wenchao Huangfu, Bingzhe Tang, Dongdong Yang, Guoqing Yang

“…New hydrological insights for the region: The rainfall on the day and 7–28 cm soil moisture have a strong impact on landslide occurrences. The effective duration threshold for rainfall-induced landslides is largest in the Qinba Mountains area (high vegetation cover), and the 50 % threshold curve has a better early warning effect. …”
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Anisotropic shock response in oriented omnidirectional TATB supercells based on reactive molecular dynamics simulations by Guan-chen Dong, Jia-lu Guan, Ling-hua Tan, Jing Lv, Xiao-na Huang, Guang-cheng Yang

“…1,3,5-Triamino-2,4,6-trinitrobenzene (TATB) is a highly insensitive energetic material used in applications where extreme safety is required primarily. …”
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Climatic impacts on mortality in pre-industrial Sweden by T. T. Chen, T. T. Chen, R. Edvinsson, K. Modig, H. W. Linderholm, F. C. Ljungqvist, F. C. Ljungqvist, F. C. Ljungqvist

“…<p>Climate variability and change, as well as extreme weather events, have notable impacts on human health and mortality. …”
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Prediction of Climate Change Impacts on the Distribution of an Umbrella Species in Western Sichuan Province, China: Insights from the MaxEnt Model and Circuit Theory by Xiaoyun Deng, Qiaoyun Sun

“…Climate change poses a significant threat to biodiversity. Predicting the impacts of climate change on species distribution and dispersal through computational models and big data analysis can provide valuable insights. …”
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Isolation and Identification of Lipase-producing Actinobacteria from the Lut Desert of Iran by Samira Abedi-Dolatabadi, Moj Khaleghi, Sedigheh Ghasemzadeh, Azadeh Lohrasbi-Nejad, Arastoo Badoei Delfard

“…Strain Ga7 had the largest clear zone with a diameter of 7 mm and lipase activity of 5.45×10 -7 µmol/min, making it the most promising potential lipase producer. …”
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Preterm nutrition and brain development by Chiara Nava, Gianluca Lista, Enrica Lupo

“…The preterm brain is in a period of extreme vulnerability and fundamental development during hospitalisation in the neonatal intensive care unit. …”
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The Prevalence of Using Traditional, Complementary, and Integrative Medicine by Patients with Epidermolysis Bullosa by Mohammad Mahdi Parvizi, Nasrin Saki, Ehsan Amiri-Ardekani, Parisa Ahmadfard, Mehdi Pasalar

“…A researcher-made data gathering form, including knowledge, beliefs, practice, and the experience of the safety of TCIM, was used to collect the data. …”
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Harnessing Machine Learning and Nomogram Models to Aid in Predicting Progression-Free Survival for Gastric Cancer Patients Post-Gastrectomy with Deficient Mismatch Repair(dMMR) by Yifan Li, JinFeng Ma, Wenhua Cheng

“…Abstract Objective To assess the effectiveness of a machine learning framework and nomogram in predicting progression-free survival (PFS) post-radical gastrectomy in patients with dMMR. …”
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Combining machine learning algorithms for bridging gaps in GRACE and GRACE Follow-On missions using ERA5-Land reanalysis by Jaydeo K. Dharpure, Ian M. Howat, Saurabh Kaushik, Bryan G. Mark

“…Unlike previous studies, we use a combination of Machine Learning (ML) methods—Random Forest (RF), Support Vector Machine (SVM), eXtreme Gradient Boosting (XGB), Deep Neural Network (DNN), and Stacked Long-Short Term Memory (SLSTM)—to identify and efficiently bridge the gap between GRACE and GFO by using the best-performing ML model to estimate TWSA at each grid cell. …”
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Impact of Disease Activity on the Quality of Life of Crohn’s Disease Patients by T Michael Vallis, Geoffrey K Turnbull

“…Crohn’s disease (CD) patients often suffer severe symptoms that impair their quality of life. A sample of 39 CD patients who were assessed using well validated measures of disease activity and disease-specific quality of life is reported. …”
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Long-term changes in the dependence of <i>Nm</i>F2 on solar flux at Juliusruh by M. G. Tan Jun Rios, M. G. Tan Jun Rios, C. Borries, H. Liu, J. Mielich

“…The response of the ionosphere to solar extreme ultraviolet (EUV) flux has previously been considered stable. …”
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Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

“…BackgroundPregnancy loss is a significant public health issue globally, particularly in Sub-Saharan Africa (SSA), where maternal health outcomes continue to be a major concern. …”
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Best practice mechanisms for biodiversity conservation law and policy by Callum Brockett, Katie Woolaston, Felicity Deane, Fran Humphries, Ethan Kumar, Amanda Kennedy, Justine Bell-James

“…Laws for the conservation of biodiversity form a critical component for minimising the drivers of extinction, with species extinction being an extreme outcome of biodiversity loss. …”
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Explainable machine learning models for identifying mild cognitive impairment in older patients with chronic pain by Xiaoang Zhang, Yuping Liao, Daying Zhang, Weichen Liu, Zhijian Wang, Yaxin Jin, Shushu Chen, Jianmei Wei

“…This study aimed to determine MCI risk factors in older patients with chronic pain and to develop 9 machine learning models to identify MCI risk. Methods A total of 612 older patients with chronic pain were recruited between October 2023 and July 2024. …”
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