Results 231 to 240 of about 23,631,400 (298)

Advancing paediatric robotic surgery: building the foundation with databases. [PDF]

J Robot Surg
Marangoly CG, Blanc T, Gundeti MS, Peters CA, Kimber C, Taghavi K.   +5 more
europepmc   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

Overview of adult immunization in Finland: Successes, lessons learned and the way forward. [PDF]

Hum Vaccin Immunother
Pattyn J, Jindal S, Hendrickx G, Bechini A, Boccalini S, Del Riccio M, Noehrenberg E, Van Damme P, Bonanni P, Nohynek H, Kontio M, Järvinen A, Salo H, Palmu AA.   +13 more
europepmc   +1 more source

Multiscale and Multi‐Timestep Switching of Multiple Machine Learning Force Fields for Artificial Intelligence‐Driven Materials Simulations

Advanced Intelligent Discovery, EarlyView.
Deep Potential model switching accelerates molecular dynamics by using a faster 4 Å model for most timesteps and periodically applying a high‐accuracy 6 Å model. Validation on solid TiO2 and liquid PEG shows preserved RDF correlations and stable NPT behavior, while NVE energy‐drift analyses identify cases requiring additional validation.
Ryuya Kanda, Megumu Yamazaki, Yuta Yoshimoto, Shintaro Izumi, Atsuki Inoue, Hiroshi Kawaguchi, Yasufumi Sakai   +6 more
wiley   +1 more source

No escape: crisis of extreme heat indoors. [PDF]

Lancet Reg Health Southeast Asia
The Lancet Regional Health-South East Asia.
europepmc   +1 more source

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Pricing and procurement strategies in the relief supply chain via bidirectional option contract. [PDF]

PLoS One
Maleki Rastaghi M, Barzinpour F, Heydari J, Gholamian MR.   +3 more
europepmc   +1 more source

A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design

Advanced Intelligent Discovery, EarlyView.
Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung, Seongmin Kim, Jaehyun Park, Chaeyoung Park, Zhihao Xu, Sanghyo Hwang, Baiqing Ye, Youn sang Kim, Sun‐Kyung Kim, Tengfei Luo, Eungkyu Lee   +10 more
wiley   +1 more source

Temporality and intuitionistic fuzzy data warehouses

, 2004
Georgiev, P., Tseng, A., Kolev, B., Petrounias, I., Kodogiannis, V., El-Darzi, E., Chountas, P., Vasilakis, C.   +7 more
core   +1 more source

Lessons learned from redesigning public health medicines supply chain model in Uttar Pradesh, India. [PDF]

Front Public Health
Namasivayam V, Purwar M, Jain S, Halli S, Kumar J, Gothalwal V, Becker M, Blanchard J, Boerma T, Prakash R.   +9 more
europepmc   +1 more source