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

