Results 191 to 200 of about 595,936 (267)

EndoTac: An Endoscopic Camera‐Based Tactile Sensor with High Sensitivity for Minimally Invasive Surgery

Advanced Science, EarlyView.
EndoTac presents a trocar‐compatible endoscopic vision‐based tactile sensor that uses a convex mirror to enlarge side‐facing tactile coverage during minimally invasive vessel palpation. Distorted tactile images are unwarped and processed by a learning model to estimate vascular deformation, enabling sensitive, spatially distributed tactile perception ...
Yupeng Wang, Nicolas Raison, Xuyang Zhang, Aijia Yang, Lukas Lindenroth, Shan Luo   +5 more
wiley   +1 more source

The impact of media multitasking on online learning engagement among nursing students: the mediating role of academic self-efficacy and the moderating role of attention control. [PDF]

BMC Nurs
Shida Q, Dazhi Y, Bo L, Haowei Z, Jiayuan Z.   +4 more
europepmc   +1 more source

From Circuits to Symphonies: A Systems‐Engineering Blueprint for Multimicrobial Synthetic Biology

Advanced Science, EarlyView.
Engineering synthetic microbial consortia requires moving beyond intracellular genetic circuits toward coordinated multicellular design. A modular systems‐engineering framework is presented that integrates communication, temporal coordination, ecological structuring, and predictive modeling to guide application‐dependent consortium design ...
Miguel Fernández‐Niño, Ludger A. Wessjohann, José Manuel Guillamón, Daniela Burgos‐Toro, Silvia Moriano‐Gutiérrez, Giacomo Di Matteo, Zia‐ul Islam, Rinke van van Tatenhove‐Pel, Vanessa Rossetto Marcelino, Rodrigo Ledesma‐Amaro   +9 more
wiley   +1 more source

Online Learning to Support Culturally Safe Communication with First Nations Australians in Radiation Therapy: A Pre-Post Intervention Study. [PDF]

Cancer Control
Stoll L, Carter K, Jahan S, Dhillon HM, Cunningham J, Sabesan S, Halkett GKB, Baxi S, Kar G, Shaw J, Smith S, Penniment M, Stoneley A, McGhee L, Garvey G.   +14 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

How digital support and digital competence influence digital resilience of college students in an online learning environment. [PDF]

Front Psychiatry
Pan F, Zhu G.
europepmc   +1 more source

Analog Weight Update Rule in Ferroelectric Hafnia, Using picoJoule Programming Pulses

Advanced Electronic Materials, EarlyView.
Resistive, ferroelectric synaptic weights based on BEOL‐compatible hafnia/zirconia nanolaminates are fabricated. Lateral downscaling the devices below 10 µm2 enables 20 ns programming with electrical pulses, dissipating ≤ 3 pJ. Experimental results show that final conductance state is set by pulse amplitude, and is largely independent of the initial ...
Alexandre Baigol, Nikhil Garg, Matteo Mazza, Yanming Zhang, Elisa Zaccaria, Wooseok Choi, Bert Jan Offrein, Laura Bégon‐Lours   +7 more
wiley   +1 more source

Exploring gamified health interventions in oral oncology: Improving self-management and treatment adherence

Clinical Epidemiology and Global Health
Vikas V. Pawar, Safia Farooqui
doaj   +1 more source

The impact of achievement emotions on learning performance in online learning context: a meta-analysis. [PDF]

Front Psychol
Qi M, Liu W, Li M, Wang G, Liu B.
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