Results 91 to 100 of about 14,252 (249)
Deploying deep neural networks (DNNs) on resource-constrained IoT devices remains a challenging problem, often requiring hardware modifications tailored to individual AI models.
M. Ajay Kumar +7 more
doaj +1 more source
A comprehensive experimental and theoretical study is presented of a family of TADF dyes. Comparing the behavior of structurally related dyes, we uncover the subtle and somewhat unexpected role of conformational degrees of freedom associated with peripheral groups that affect the delicate interplay of excited states that governs spin–orbit coupling ...
Andrea Landi +7 more
wiley +1 more source
An Educational RISC-V-Based 16-Bit Processor
This work introduces a novel custom-designed 16-bit RISC-V processor, intended for educational purposes and for use in low-resource equipment. The implementation, despite providing registers of 16 bits, is based on RV32E RISC-V ISA, but with some key ...
Jecel Mattos de Assumpção +3 more
doaj +1 more source
4′‐ThioRNA was broadly tolerated across multiple positions in SARS‐CoV‐2‐targeting siRNAs, but full 4'‐thio modification of both strands caused a reduction in RNAi activity. Sense‐strand segmentation improved RNAi and antiviral activity, particularly when the nick was located at position 10 from the 5′‐end of the sense strand, thereby unlocking the ...
Yuhei Nogi +5 more
wiley +1 more source
Multivalent RNA‐Cleaving Agents on a Cubic Octameric Silsesquioxane Core
RNA‐cleaving agents on a cubic octameric silsesquioxane core were synthesized and characterized. Several catalytic systems of these structures were screened using hexaribonucleotide models. The best systems were then further used to study their catalytic efficiency in cleaving a HER2 mRNA model sequence. The induced cleavage sites were also determined.
Hanni Haapsaari, Iris Tuomi, Pasi Virta
wiley +1 more source
FeNN-DMA: A RISC-V system-on-chip for spiking neural network acceleration
Spiking neural networks (SNNs) are a promising, energy-efficient alternative to standard artificial neural networks (ANNs) and are particularly well-suited to spatio-temporal tasks such as keyword spotting and video classification.
Zainab Aizaz +2 more
doaj +1 more source
An SEU-Tolerant Cache for a RISC-V Core
The open RISC-V Instruction Set Architecture (ISA) is a versatile architecture with a growing number of implementations, including the aerospace sector, where tolerance to Single-Event Upset (SEU) faults is critical.
Ariel David Santana Gil +5 more
doaj +1 more source
ABSTRACT Objective This systematic review evaluated the feasibility, efficacy, adherence, and methodological quality of ecological momentary intervention (EMI)–based treatments for individuals with diagnosed eating disorders (EDs) and/or obesity. Method Eight electronic databases were systematically searched from inception to January 2026.
Wenlu Mao +4 more
wiley +1 more source
Two exciplex emitters are constructed based on a host‐guest doping strategy, and their exciton dynamics processes are investigated in depth. High‐performance OLEDs are fabricated by employing these exciplexes as emitters or sensitizers, providing excellent electroluminescence efficiencies and low efficiency roll‐offs.
Jingwen Xu +4 more
wiley +1 more source
A “gemstone‐necklace” FASCE strategy synthesizes single‐component white polymers (PTF‐Qx) by alternating rigid TADF units with flexible alkyl chains. The non‐doped rigid device achieves a high EQE of 15.66% with stable white emission (CIE: 0.36, 0.46).
Wenhao Zhang +7 more
wiley +1 more source

