Results 231 to 240 of about 38,159,525 (257)
SLICED: A secure and adaptive cloud-iot framework for low-latency e-learning environments. [PDF]
Aswin K, Shanmugapriya N, Gopi R.
europepmc +1 more source
HEA interlayers offer a versatile route for joining high‐performance structural materials. Their compositional and structural design regulates interfacial reactions, suppresses brittle IMCs, and improves metallurgical bonding. Sandwich interlayers further integrate defect healing with precipitation strengthening, enabling improved strength–ductility ...
Lin Yuan +4 more
wiley +1 more source
Bridging the gap: using an asynchronous e-Learning module to improve internal medicine residents' confidence and preparedness in ambulatory blood pressure monitoring interpretation. [PDF]
Stein M, Taheri C, MacMillan TE, Lai A.
europepmc +1 more source
e-Learning for Healthcare – Image Interpretation Project
College of Radiographers +2 more
core
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin +12 more
wiley +1 more source
Assessment of pharmacy students' engagement in using national e-learning resources: a study from a public university in Saudi Arabia. [PDF]
Khan NA +9 more
europepmc +1 more source
Additive manufacturing introduces pronounced microstructural and crystallographic anisotropy in Ni‐based superalloys, resulting in orientation‐dependent creep deformation and damage. This review identifies the key microstructural origins of creep anisotropy, examines their influence on dominant deformation mechanisms, and highlights processing ...
Chandan Kumar +3 more
wiley +1 more source
Blended e-learning with handheld ultrasound devices improves practical competence in eFAST: a randomised controlled study. [PDF]
Platte LAT +5 more
europepmc +1 more source
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source
Effectiveness of E-Learning in Undergraduate ENT Education: A Mixed-Methods Systematic Review. [PDF]
Mughal Z +3 more
europepmc +1 more source

