Results 111 to 120 of about 10,202,208 (291)
This work presents a 2 × 2 integrated single‐chip MEMS gas sensor array with temperature modulation and deep learning for discriminating thermal‐runaway characteristic gases. The array generates distinct temperature‐modulated response patterns for four characteristic gases (H2, CO, CH4, and CO2), while a HK‐MoE model is developed to achieve robust ...
Qin Luo +8 more
wiley +1 more source
Adult human organotypic cortical slices undergo marked neuronal loss, laminar disruption, and glial activation, yet their network activity progressively stabilizes after a variable period. Electrophysiology, longitudinal calcium imaging, and quantitative histology show that structurally remodeled human circuits show adaptive capacity resulting in ...
Estilla Zsófia Tóth +20 more
wiley +1 more source
Kolmogorov-Smirnov (KS) and Anderson-Darling (AD) test on real data set.
Kolmogorov-Smirnov (KS) and Anderson-Darling (AD) test on real data set.
Muhammad Shakeel (509491) +4 more
core +1 more source
ABSTRACT Aging represents a critical risk factor for chronic diseases, driving an urgent demand for interventions promoting healthy longevity. This study establishes standardized guidelines for high‐throughput screening (HTS) of anti‐aging natural products using Drosophila melanogaster, leveraging its intestinal homeostasis as a biomarker.
Xiao Sheng, Lei Zhang
wiley +1 more source
Kolmogorov-Smirnov test for soil moisture class and archaeological site location.
Kolmogorov-Smirnov test for soil moisture class and archaeological site location.
Lisa Nagaoka (7296266) +2 more
core +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Current Standards of Monitoring Models in Healthcare Settings
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay +5 more
wiley +1 more source
Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison +4 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
D‐limonene supplementation enhances testicular recovery following orchiopexy in a rat model of bilateral cryptorchidism. Treatment with D‐limonene reduces oxidative stress (↓MDA, ↑SOD, ↑GPx, ↑TAC), downregulates pro‐apoptotic proteins (↓TNF‐α, ↓BAX, ↓Caspase‐3), and upregulates anti‐apoptotic Bcl‐2 expression.
Arman Norouzi‐Ghalehbala +6 more
wiley +1 more source

