Results 161 to 170 of about 407,846 (278)

Digital twin-based machine learning framework for predicting nonlinear seismic response of reinforced concrete shear walls using analytical data. [PDF]

Sci Rep
Kuria KK, Kegyes-Brassai O.
europepmc   +1 more source

Rational Design of Printable Carbon Nanotube Transparent Conductive Films via Data‐Driven and Mechanistic Insights

Advanced Functional Materials, EarlyView.
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou, Ken‐ichi Nomura, Shun Muroga, Makoto Yoneya, Don N. Futaba, Takeo Yamada, Reiko Azumi, Kenji Hata   +7 more
wiley   +1 more source

Development and pilot evaluation of a Psychosocial Oncology and Palliative Care Training program for nurses in Cameroon. [PDF]

Palliat Care Soc Pract
Bassah N, Tendongfor N, Ebob-Anya BA, Esembeson M, Eta VA, Ngah NE, Abdul-Rahim SA, Tita BV, Ndum AC, Afanyini SR, Ngwa CJ, Maison Mayeh AM, Mboh LN.   +12 more
europepmc   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Development and use of visual materials for training food service employees in work simplification

, 2018
openaire   +3 more sources

Special issue: Recent advances on Building Information Modeling (BIM) [PDF]

, 2015
Beetz, Jakob, Li, Haijiang, Li, Heng, Liu, Yu-Shen, Pauwels, Pieter   +4 more
core   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Advanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann, Hanglin He, Marko Mladenović, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras   +8 more
wiley   +1 more source

Nonlinear optical extreme learner via data reverberation with incoherent light. [PDF]

Sci Adv
Liu B, Mei X, Shafi S, Xia T, Khoo IC, Liu Z, Ni X.   +6 more
europepmc   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

Advanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim, Junseo Lee, Kwang‐Hun Choi, Seongil Im, Jae Hong Kim, Changsoon Choi, Junghwan Byun, Changhwan Shin, Ho Won Jang, Hyunsu Ju, Jung Ah Lim   +10 more
wiley   +1 more source

Graduates feedback on the master of public health program in the United Arab Emirates: a mixed method study. [PDF]

Front Public Health
Elbarazi I, Elkonaisi I, Ahmed LA, Rahma AT, Menon P, Paulo MS, Grivna M, Nauman J.   +7 more
europepmc   +1 more source