Results 131 to 140 of about 84,699 (302)

Tunable Dynamics via Dual‐Ion Modulation for Event‐based Data Processing Using a Highly Uniform and Self‐Rectifying Memristor Array

open access: yesAdvanced Science, EarlyView.
Tunable dynamics of an interface‐type memristor array enabled by dual‐ion modulation through Ag nanoclusters are demonstrated. A 32 × 32 one‐resistor (1R) array exhibits 100% yield with high temporal/spatial uniformity (<3%) and a rectification ratio of 105.
Yoonho Cho   +7 more
wiley   +1 more source

Deep learning (DL) Opens New Horizons in Personalized Medicine [PDF]

open access: yesBiomedical Journal of Scientific & Technical Research, 2018
Although the idea of personalization of patient care dates to the time of Hippocrates, recent advances in diagnostic medical imaging and molecular medicine are gradually transforming health care services, by offering information and diagnostic tools enabling individualized patient management.
openaire   +1 more source

A Skull Bone Marrow‐to‐Brain Axis Links Osteoblastic Activity to Myeloid Cell Trafficking, Cerebral Blood Flow, and Cognition in Alzheimer's Progression

open access: yesAdvanced Science, EarlyView.
This study reveals that Alzheimer's disease–linked APP expression in bone‐forming cells drives skull bone marrow remodeling and alters its vascular connections to the brain. These changes disrupt immune cell trafficking, cerebral blood flow, and cognition. Targeting bone marrow macrophages restores brain function, highlighting a previously unrecognized
Lei Xiong   +6 more
wiley   +1 more source

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang   +11 more
wiley   +1 more source

Cognitive-Inspired Deep Learning Models for Aspect-Based Sentiment Analysis: A Retrospective Overview and Bibliometric Analysis [PDF]

open access: yes
As cognitive-inspired computation approaches, deep neural networks or deep learning (DL) models have played important roles in allowing machines to reach human-like performances in various complex cognitive tasks such as cognitive computation and ...
Chen, Xieling   +5 more
core   +1 more source

Field‐Free Spin‐Splitting‐Torque Driven Stochastic Neuron Mimicking the Neuromorphic Imagination for High‐Performance Recognition

open access: yesAdvanced Science, EarlyView.
The human brain's imagination, which enables autonomous driving hazard avoidance by completing missing visual information, relies on Gaussian‐stochastic neuron. We report the altermagnetic RuO2 spintronic neurons integrating field‐free switching and intrinsic Gaussian stochasticity, building an all‐spin ANN for high‐quality image repairing and high ...
Junwei Zeng   +9 more
wiley   +1 more source

TRIM: Simultaneous Thermometry, Ranging, and Imaging via a Monolithic Metalens

open access: yesAdvanced Science, EarlyView.
ABSTRACT While metasurfaces offer a pathway beyond the discrete architectures of conventional LWIR systems, physically fusing high‐precision thermometry and passive ranging onto a single metalens remains a formidable challenge. Here, we demonstrate a monolithic, dual‐focus metalens capable of simultaneous multidimensional sensing.
Man Yuan   +10 more
wiley   +1 more source

Deep Learning applied to structural analysis for submarine power cables of floating offshore wind turbines

open access: yes, 2023
reservedStructural dynamic and non-linear analysis is complicated and computationally expensive to produce. The computational cost of generating simulations is even greater when we consider the multiple environmental factors that occur when the structure
SBABO, MATTIA
core  

Mechanistic Understanding of Protein–MOF Integration Through Surfactant‐Driven Interfacial Design

open access: yesAdvanced Science, EarlyView.
This study reveals how surfactant‐driven interfacial design governs the assembly and stability of protein@MOF composites. Using lipid‐based nonionic surfactants, we modulate protein–MOF interactions to improve encapsulation efficiency, MOF crystallization, and catalytic performance.
Ehsan Rashidniyaghi   +4 more
wiley   +1 more source

Deep Representation Learning with Genetic Programming [PDF]

open access: yes, 2020
In this thesis, we propose the development of a new Deep Learning (DL) model based on the Genetic Programming (GP) framework. Although DL is typically considered a machine learning (ML) field solely concerned with certain class of artificial neural ...
Lino Alberto Rodriguez Coayahuitl
core  

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