Results 211 to 220 of about 225,355 (264)

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Level and Predictors of Catastrophic Health Expenditure Among Recipients of Ambulatory Surgical Care Services at Kyabirwa Surgical Center, Uganda. [PDF]

Cureus
Tusiime R, Babirye S, Nanyiri J, Okello Damoi J, Emoru A, Bakaleke Binoga M, Mukisa D, Kwagala G, Zhang L, Turumanya Kalumuna A.   +9 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

The impact of ageing, socio-economic differences and the evolution of morbidity on future health expenditure - a dynamic microsimulation. [PDF]

BMC Health Serv Res
Horvath T, Leoni T, Reschenhofer P, Spielauer M.   +3 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Correction: Spatio-temporal patterns and determinants of persistent catastrophic health expenditure in China: evidence from the China Family Panel Studies. [PDF]

Front Public Health
Zhou MC, Chen ZX, Fan KM, Guo J, Wang XH, Ma S.   +5 more
europepmc   +1 more source

The interplay and correlates of agricultural (Farm) and non-agricultural activities to food diversity - linkages to health expenditure. [PDF]

Asian J Agric Rural Dev
Ramalebo K, Chifurira R, Zewotir T, Chinhamu K.   +3 more
europepmc   +1 more source

Spatio-temporal patterns and determinants of persistent catastrophic health expenditure in China: evidence from the China Family Panel Studies. [PDF]

Front Public Health
Zhou MC, Chen ZX, Fan KM, Guo J, Wang XH, Ma S.   +5 more
europepmc   +1 more source