Results 41 to 50 of about 278 (215)

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

open access: yesAdvanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio   +3 more
wiley   +1 more source

Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics

open access: yesAdvanced Science, EarlyView.
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma   +5 more
wiley   +1 more source

Dynamic searchable symmetric encryption schemes with forward and backward security

open access: yesIOP Conference Series: Materials Science and Engineering, 2020
Abstract Dynamic searchable symmetric encryption (DSSE) is helpful to users with limited storage. In DSSE, the users are able to perform search and update queries on the ciphertext which stored on the cloud server. However, DSSE may suffer from file-injection attacks and leak information after deletion.
Ke Huang   +3 more
openaire   +1 more source

A NeuroD1 AAV‐Based Gene Therapy for Functional Brain Repair in Alzheimer's Disease‐Like Non‐Human Primate Model

open access: yesAdvanced Science, EarlyView.
This study tests NeuroD1 AAV‐based gene therapy in a non‐human primate Alzheimer's disease model. The therapy prevents neuronal damage, inhibits hippocampal atrophy, and reduces neuroinflammation. It also repairs vascular and blood‐brain barrier damage, restores cerebrospinal fluid biomarkers, enhances hippocampal glucose metabolism, and improves ...
Zhouquan Jiang   +21 more
wiley   +1 more source

An efficient conjunctive keyword searchable encryption for cloud-based IoT systems

open access: yesDigital Communications and Networks
Data privacy leakage has always been a critical concern in cloud-based Internet of Things (IoT) systems. Dynamic Symmetric Searchable Encryption (DSSE) with forward and backward privacy aims to address this issue by enabling updates and retrievals of ...
Tianqi Peng   +6 more
doaj   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

open access: yesAdvanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang   +13 more
wiley   +1 more source

Integrated Ultrasound Device for Precision Bladder Volume Monitoring via Acoustic Focusing and Machine Learning

open access: yesAdvanced Science, EarlyView.
We present a conformable wearable ultrasound patch for noninvasive bladder volume monitoring. A flexible PZT array combined with a concave acoustic lens concentrates acoustic energy and improves depth selectivity through the anterior pelvic wall.
Long Long Cao   +4 more
wiley   +1 more source

Emerging Device Applications From Strong Light–Matter Interactions in 2D Materials

open access: yesAdvanced Science, EarlyView.
Two‐dimensional semiconductors enable extremely compact optoelectronic devices such as solar cells, sensors, LEDs, and lasers. Their strong light–matter interactions allow efficient light emission, detection, and energy conversion. This review article discusses the recent progress in integrating these materials with optical cavities and nanostructures ...
Janani Archana K   +7 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Magneto‐X Effects in Magnetic Soft Materials and Their Applications

open access: yesAdvanced Science, EarlyView.
This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang   +5 more
wiley   +1 more source

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