Results 61 to 70 of about 426,729 (287)

Precision Nanomedicine for Traumatic Neural Injury: Functional Paradigms and Translational Frameworks

open access: yesAdvanced Science, EarlyView.
This review presents a pathology‐driven framework unifying nanomedicine across TBI, SCI, and PNI. Epidemiological evidence and comparative single‐cell transcriptomic reanalysis define shared pathological modules, injury‐specific effectors, and therapeutic bottlenecks. Six functional paradigms connect nanomaterial structure and biological fate to injury‐
Mouyuan Sun   +12 more
wiley   +1 more source

Sacral Neural Crest‐Derived Extracellular Vesicles Promote Pelvic Ganglion Repair Through Anti‐Pyroptotic Effects Involving ANXA1–FPR2 Signaling

open access: yesAdvanced Science, EarlyView.
Extracellular vesicles derived from human pluripotent stem cell‐derived sacral neural crest cells promote repair of injured major pelvic ganglia and improve colorectal function. These vesicles reduce oxidative stress and pyroptosis, with ANXA1–FPR2 signaling contributing to their protective effects, and show a favorable therapeutic profile compared ...
Ting Yang   +11 more
wiley   +1 more source

Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

open access: yesAdvanced Science, EarlyView.
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley   +1 more source

Differential Equations of the Voltages and Currents in the Circuits of ADC Comparators

open access: yes, 2000
Methodics to build differential equations for the circuits of the comparators in the parallel integrated ADC is created. Methodics evaluates circuits as microstrip lines with distributed parameters and loads as linear or nonlinear impedances ...
Marcinkevičius, A., Poviliauskas, D.
core  

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Reducing the number of comparators in multi-bit ΔΣ modulators

open access: yes
Multi-bit feedback, being one way of lowering ΔΣ modulators power consumption, has a major obstacle: the number of components in the internal analog-to-digital converter (ADC) and digital-to-analog converter (DAC). Nevertheless, the number of comparators
Clément, P., Pesenti, S., Kayal, M.
core   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

open access: yesAdvanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang   +6 more
wiley   +1 more source

Measurements of Periodic Signals Phase Shifts with Application of Direct Digital Synthesis

open access: yesПриборы и методы измерений, 2019
The development of new methods and high-bit instruments for measuring phase shifts of high-frequency periodic signals with high speed for radar and radionavigation tasks is an actual task. The purpose of this work is to create a new phase shift meter for
I. V. Gula   +4 more
doaj   +1 more source

A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines

open access: yesAdvanced Intelligent Systems, EarlyView.
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe   +9 more
wiley   +1 more source

An Unbalanced Clock Based Dynamic Comparator: A High-Speed Low-Offset Design Approach for ADC Applications

open access: yesAdvances in Electrical and Electronic Engineering, 2019
Currently, dynamic comparator approach necessitates in high-speed and power efficient analog-to-digital converter applications due to its high latching speed and ultra-low power consumption. In this paper, a~novel dynamic comparator is proposed to reduce
Vikrant Varshney, Rajendra Kumar Nagaria
doaj   +1 more source

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