Results 61 to 70 of about 62,317 (262)
The future of pedestrian-automated vehicle interactions [PDF]
XRDS: Crossroads, The ACM Magazine for Students, 2019 While the increasing popularity of autonomous vehicles has garnered critical media attention, less has been written about the field of pedestrian-automated vehicle interactions and its challenges. Current research trends are discussed as well as several areas receiving much less attention, but are still vital to the field.
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Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Lipid Nanoparticle Co‐Delivery of mRNA and a Small Molecule Drug for Oral Cancer Chemoimmunotherapy
Advanced Materials, EarlyView.Co‐encapsulation of p53 mRNA and the small molecule ciclopirox within a lipid nanoparticle yields an all‐in‐one chemoimmunotherapy for oral squamous cell carcinoma. The platform engages caspase‐driven apoptosis in cancer cells while repolarizing tumor‐associated macrophages, achieving tumor reduction in both p53‐susceptible and p53‐resistant models and
Marshall S. Padilla +15 more
wiley +1 more source
Interaction of Automated and Non-Automated Vehicles
IFAC Proceedings Volumes, 1998 Abstract Novel car technologies like driver assistance systems may have unforeseen and unintended consequences on overall performance of the vehicle-driver-environment system. As an example the question about the interaction of vehicles with and without automatic support systems is discussed, for further investigations computer simulation of typical ...
Marita Irmscher +2 more
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Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review
Advanced Materials, EarlyView.Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase +6 more
wiley +1 more source
Navigating Lipid Nanostructure Design Space Through Continuous Microfluidic Automation
Advanced Materials, EarlyView.LipidXplorer is a novel microfluidic platform which enables rapid navigation of lipid particle design space for high‐resolution phase mapping, lipid nanoparticle optimization, membrane biophysics, and functional nanomaterial discovery. It combines programmable composition control, continuous nanoparticle formation, and automated well‐plate collection ...
Bradley Diggines +10 more
wiley +1 more source
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2020 The analysis of trends in the development of the automotive industry and well-known methods of automating vehicle control served the basis for us to propose an approach to organizing the transfer of vehicle control from an automated driving system to a ...
V. A. Dubovsky, V. V. Savchenko
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Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
User interfaces for automated vehicles [PDF]
it - Information Technology, 2021 Bastian Pfleging +2 more
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Machine Ethics and Automated Vehicles [PDF]
, 2014 Road vehicle travel at a reasonable speed involves some risk, even when using computer-controlled driving with failure-free hardware and perfect sensing. A fully-automated vehicle must continuously decide how to allocate this risk without a human driver's oversight.
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