Results 81 to 90 of about 36,209 (267)

Machine Learning-Based Predictive Model for Mortality in Female Breast Cancer Patients Considering Lifestyle Factors

Cancer Management and Research
Meixin Zhen,1,* Haibing Chen,1,* Qing Lu,1 Hui Li,2 Huang Yan,2 Ling Wang2 1Xiangya College of Nursing, Central South University, Changsha, Hunan, 410013, People’s Republic of China; 2Nursing Department, The Third Xiangya Hospital, Central South ...
Zhen M, Chen H, Lu Q, Li H, Yan H, Wang L   +5 more
doaj  

Design and prediction of high optical density photovoltaic polymers using machine learning-DFT studies

Open Physics
This research provides a machine learning (ML) method to predict the optical density of photovoltaic (PV) polymers. The results show that extra gradient boosting regressor and random forest regressor are the best-performing models among all the tested ML
Aljaafreh Mamduh J., Hassan Abrar U.
doaj   +1 more source

Design of Photocatalytic Composite Coatings for Formaldehyde Removal Based on the Visual Effects of Wood Furniture

Advanced Science, EarlyView.
This work develops photocatalytic coatings for indoor formaldehyde removal on wood surfaces. It explores coating‐induced color variations and visual perception via eye‐tracking tests. Combined with XGBoost and Bayesian optimization, an intelligent design framework is established to guide the optimization of visually friendly wood photocatalytic ...
Xinyue Wei, Shuyuan Chen, Xinlong Zhou, Han Wang, Wei Guo, Xiaoting Niu, Wei Li, Zhen Ding, Haiyuan Chi   +8 more
wiley   +1 more source

Groundwater Rise Sustains the World's Largest Alpine Water System Under Global Warming

Advanced Science, EarlyView.
Shallow groundwater depth (SGWD) across the non‐permafrost plains of the Qinghai–Xizang Plateau decreased at averagely 0.02 m year−1, adding 31.44 Gt of freshwater storage from 2000 to 2020 and sustaining ∼53 500 km2 of alpine ecosystems. A vadose‐zone capacity of 426.6 Gt reveals these aquifers as promising reservoirs, highlighting groundwater's ...
Jianqing Du, Zhixiang Niu, Yanfen Wang, Shirui Zhou, Youqing Yang, Xiang Wei, Haishan Niu, Yitao Zhang, Anquan Xia, Yali Liu, Yanbin Hao, Kai Xue, Bingfang Wu, Xinquan Zhao, Tandong Yao, Yiyu Chen   +15 more
wiley   +1 more source

Characterization of Spatial and Temporal Coupling of Digital Economy and Carbon Emission in Yangtze River Delta Urban Agglomerations and the Influence Factors by Integrating GWRF and SHAP

Redai dili
Against the strategic backdrop of "Digital-China" and the "Dual-Carbon" goals, the synergistic advancement of digital economy and carbon emission reduction is crucial for achieving high-quality, sustainable development.
Zhang Qianwei, Xi Guangliang
doaj   +1 more source

Architecture‐Engineered Semi‐Crystalline Microporous Polymer Membranes for Precise Molecular Separation

Advanced Science, EarlyView.
Guided by a Random Forest model, a π–π‐driven ordered stacking strategy deploys functionally distinct substructures to restrict chain segment motion and increase free volume, while preserving the intermolecular interactions that maintain structural integrity.
Zi‐Meng Xu, Hao Zhuo, Song‐Hui Zhi, Xiao‐Feng Zhong, Pan‐Pan Zhang, Si‐Yuan Yang, Wen‐Yong Yang, Guang‐Yong Shen, Ya‐Zhao Li, Yi Li, Ming Xue   +10 more
wiley   +1 more source

Explainable Prediction of Long-Term Glycated Hemoglobin Response Change in Finnish Patients with Type 2 Diabetes Following Drug Initiation Using Evidence-Based Machine Learning Approaches

Clinical Epidemiology
Gunjan Chandra,1,* Piia Lavikainen,2,* Pekka Siirtola,1 Satu Tamminen,1 Anusha Ihalapathirana,1 Tiina Laatikainen,3– 5 Janne Martikainen,2 Juha Röning1 1Biomimetics and Intelligent Systems Group, Faculty of Information Technology and Electrical ...
Chandra G, Lavikainen P, Siirtola P, Tamminen S, Ihalapathirana A, Laatikainen T, Martikainen J, Röning J   +7 more
doaj  

Study on the correlation between rail station area vitality and built environment

Journal of Asian Architecture and Building Engineering
To enhance the vitality of metro station areas and support station area development and optimisation, this study investigates 284 metro stations in Guangzhou.
Wangyang Gui, Wenli Wu, Di Wu
doaj   +1 more source

Prediction of recurrence-free survival in patients with renal cell carcinoma and tumor thrombosis of the renal and inferior vena cava of levels I–II using an extended Cox model and machine learning methods

Наука и инновации в медицине
Aim – to compare the predictive accuracy of Cox regression and machine learning (ML) methods regarding recurrence-free survival in patients with locally advanced renal cell carcinoma after radical treatment.
Musabek K. Mirzabekov, Nikolai D. Tikhonskii, Mikhail I. Shkolnik, Oleg A. Bogomolov, Nina V. Trukhacheva   +4 more
doaj   +1 more source

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

Advanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv, Dayong Wu, Ziyuan Rao, Qian Wang, Haikun Ma, Jie Kang, Wang Li, Huicong Dong, Yandong Wang, Zhinan Yang, Ru Su   +10 more
wiley   +1 more source