Results 201 to 210 of about 1,124,774 (343)

Data report about course on underlying cause-of-death coding (ICD-10): the case virtual learning environment of the Brazilian health system. [PDF]

Front Digit Health
Doreto AJ, Teixeira AM, Valentim JLRS, Santos JPQ, Pinto TKB, Mendes YMMB, Dias AP, Coutinho KMD, Gonçalves EN, Pinheiro AS, Fernandes F, Batista NAN, Coutinho KD, Valentim RAM.   +13 more
europepmc   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Interculturality, public health and health education: data report based on the Virtual Learning Environment of the Brazilian Health System (AVASUS). [PDF]

Front Public Health
da Cunha PS, Batista NADN, Fernandes F, Barbalho I, Romão MH, Coutinho KMD, Valentim J, Lacerda JS, Dias AP, Henriques S, Valentim R, Alves F, Coutinho KD.   +12 more
europepmc   +1 more source

Fostering teaching-learning through workplace based assessment in postgraduate chemical pathology residency program using virtual learning environment. [PDF]

BMC Med Educ, 2020
Jafri L, Siddiqui I, Khan AH, Tariq M, Effendi MUN, Naseem A, Ahmed S, Ghani F, Alidina S, Shah N, Majid H.   +10 more
europepmc   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

Jordanian English language educators' perceived readiness for virtual learning environment. [PDF]

Heliyon
Madanat H, Ab Rashid R, Hashmi UM, Alqaryouti MH, Mohamed M, Al Smadi OA.   +5 more
europepmc   +1 more source

Synergistic Integration of Artificial Merkel Disc and Meissner Corpuscle via Dermal Papillary Structures for Mechanically Filtered Multimodal Tactile Sensing

Advanced Science, EarlyView.
A multimodal tactile sensor module that mimics the spatial arrangement and function of Merkel discs and Meissner corpuscles within the human papillary structure operates in a self‐powered manner, responding to both dynamic and static stimuli, achieving tactile perception more similar to human skin.
Jaehyeong Kim, Bohee Maeng, Seunghwan Seo, Kyoung‐Yong Chun, Chang‐Soo Han   +4 more
wiley   +1 more source

The Virtual Physics Lab - Virtual Reality as a teaching tool

, 2001
Virtual reality (VR) technology the third era in the Human-Computer Interaction (HCI) opens a vast opportunity to be applied in the field of education and at the same time support the theory of constructivism.
Romli, R., Awang Abu Bakar, N.A., Shiratuddin, M.F.   +2 more
core  

Dual‐Mode Nanoporous SiO2 Memristors with Coexisting Volatile and Nonvolatile Dynamics for Reservoir Computing

Advanced Science, EarlyView.
A nanoporous SiO2 memristor enabling reconfigurable volatile and non‐volatile switching within a single device is demonstrated. The dual‐mode functionality supports both physical reservoir dynamics and synaptic weight storage, allowing unified hardware implementation of reservoir computing for temporal information processing, including image and ...
Bohao Ding, Tongjun Zhang, Li Shao, Nikolay Zhelev, Andrew L. Hector, Ruomeng Huang   +5 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source