Results 161 to 170 of about 202,004 (267)

Climate Change is Rewriting the Hydroclimatic Operating Envelope of Mines

Advanced Science, EarlyView.
Climate change is shown to shift the hydroclimatic operating envelope of mines: 16.2% of represented mine locations have already changed Köppen subtype, rising to 42.5% by late century under SSP5‐8.5. Divergent water trajectories are filtered through geology, infrastructure and lifecycle stage, indicating that adaptation requires monitored, scenario ...
Haoxuan Yu, Izni Zahidi, Chow Ming Fai, Jilong Pan   +3 more
wiley   +1 more source

Clustering-Informed Shared-Structure Variational Autoencoder for Missing Data Imputation in Large-Scale Healthcare Data. [PDF]

Stat Med
Khadem Charvadeh Y, Seier K, Panageas KS, Vaithilingam D, Gönen M, Chen Y.   +5 more
europepmc   +1 more source

Hybrid Spring‐Coupled Broadband Energy Harvester Integrated with CuSCN Functionalized Triboelectric Vibration Sensor for Self‐Sustainable Vehicular IoTs

Advanced Science, EarlyView.
A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta, Gagan Bahadur Pradhan, Shital Sharma, MoonSeong Jo, Aklesh Teli, Hochan Chang, Jae Yeong Park   +6 more
wiley   +1 more source

Machine learning prediction of metabolic-associated fatty liver disease in type 2 diabetes: Emphasizing data imputation and feature selection. [PDF]

PLoS One
Khosravi Z, Barzinpour F, Rabizadeh S, Nakhjavani M, Esteghamati A.   +4 more
europepmc   +1 more source

Semi‐Artificial Photosynthesis Enables Light‐Driven Biomanufacturing in Non‐Photosynthetic Bacteria

Advanced Science, EarlyView.
A non‐invasive strategy exploits endogenous H2S metabolism in B. subtilis to drive in situ CdS biomineralization, enabling tight bio‐abiotic contact without genetic modification. Light harvested by the biomineralized nanoparticles powers NADPH regeneration, elevating 2’‐fucosyllactose and surfactin titres two‐ to three‐fold.
Jie Zheng, Anqi Tong, Wenxin Li, Meng Qiao, Yang Gu, Muhammad Sohail, Shan He, Sheng Yang, Xing Zhang   +8 more
wiley   +1 more source

Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models. [PDF]

Stat Med
Mi J, Tendulkar RD, Sittenfeld SMC, Patil S, Zabor EC.   +4 more
europepmc   +1 more source

Serial H&E Pathology Reveals Progression‐Associated Nuclear Size Drift as a Longitudinal Digital Readout of Bladder Cancer Evolution

Advanced Science, EarlyView.
Routine serial H&E specimens from bladder cancer are converted into paired T0/T1 digital pathology readouts of tumor evolution. Progression is associated with longitudinal nuclear drift, with nuclear size‐related changes most evident in the independent confirmation cohort, alongside a broader spatial burden of increased nuclear area and biological ...
Xing Liu, Zhen‐Duo Shi, Gong‐Cheng Wang, Jian‐Ming Wang, Ying Liu, Yi Gong, Xuan Lin, Di Wu, Shi‐Chao Zhuo, Han Han, Yi‐Bing Shi, Fan‐Lai Meng, Yu Zhang, Zhi‐Gang Jia, Cong‐Hui Han   +14 more
wiley   +1 more source

A self-supervised framework for laboratory data imputation in electronic health records. [PDF]

Commun Med (Lond)
Heilbroner SP, Carter C, Vidmar DM, Mueller ET, Stumpe MC, Miotto R.   +5 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Self-Attention-Based Deep Learning for Missing Sensor Data Imputation in Real-Time Probe Card Monitoring. [PDF]

Sensors (Basel)
Bejani M, Mauri M, Mariani S.
europepmc   +1 more source