Results 221 to 230 of about 2,878,917 (375)

MoS2 Channel‐Enhanced High‐Density Charge Trap Flash Memory and Machine Learning‐Assisted Sensing Methodologies for Memory‐Centric Computing Systems

open access: yesAdvanced Science, EarlyView.
Driven by AI computing demands, this study investigates MoS2 channels for 3D NAND Flash to achieve high‐density, low‐power, and reliable nonvolatile memory. MoS2 enables a large memory window and lower operating voltages with low‐k tunneling layer, demonstrating endurance of 10⁴ cycles and retention of 10⁵ s. Comprehensive analyses and machine learning‐
Ki Han Kim   +7 more
wiley   +1 more source

The Utility of Virtual Reality in Ophthalmology: A Review. [PDF]

open access: yesClin Ophthalmol
Ahuja AS   +8 more
europepmc   +1 more source

ATF3 Deficiency Exacerbates Ageing‐Induced Atherosclerosis and Clinical Intervention Strategy

open access: yesAdvanced Science, EarlyView.
Targeting ATF3 with terazosin to against VSMC Senescence and atherosclerosis. TZ reduces the binding affinity of YTHDF2 to Atf3 mRNA, while enhancing mRNA stability. ATF3 promotes Atg7 transcription, enhancing autophagy. ATG7 binds to ATF3 in the cytoplasm, facilitating ATF3 translocation to the nucleus and establishing positive feedback. By modulating
Hao Nie   +11 more
wiley   +1 more source

Model-based prototype design, establishment and operation of ventilation system for underground gymnasium

open access: yesHeliyon
Underground small indoor gymnasiums (USIG) are important public places, it is vital to design and build a very economical and efficient ventilation system for effective closed-loop regulation of temperature and gases concentration at prescribed levels ...
Ran Meng   +3 more
doaj  

Virtual Reality experiments in the field. [PDF]

open access: yesPLoS One
Quirós-Ramírez MA   +3 more
europepmc   +1 more source

Bridging Virtual Reality to Internet for Architecture [PDF]

open access: bronze, 1997
John W. Bradford   +2 more
openalex   +1 more source

Machine Learning‐Enhanced Nanoparticle Design for Precision Cancer Drug Delivery

open access: yesAdvanced Science, EarlyView.
Machine Learning (ML) is revolutionizing cancer nanomedicine by optimizing nanoparticle (NP) design and drug delivery. This review summarizes ML applications across all stages of NP drug delivery, along with a discussion of ongoing challenges and future directions.
Qingquan Wang   +5 more
wiley   +1 more source

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