Results 101 to 110 of about 294,101 (261)

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

Visualizing and Quantifying Impact with Mechanochromic Sensing Paints Based on Self‐Assembled Polydiacetylene‐Silk Core‐Shell Vesicles

open access: yesAdvanced Science, EarlyView.
Tracking physical impacts is important in many fields. Self‐assembled microparticles made from polydiacetylene and silk fibroin that change color from blue to red when hit can provide an alternative approach to traditional mechanical transducers, quantitatively visualizing impact with responses ranging from <100 to 770 N.
Marco Lo Presti   +4 more
wiley   +1 more source

Programmable Multifunctional Bistable Structures for Energy Transfer and Dissipation

open access: yesAdvanced Science, EarlyView.
Utilizing the energy conversion characteristics of asymmetric bistable beams, this study develops a programmable multifunctional system composed of multiple bistable beams for energy transfer and dissipation. The high energy density enables the system to demonstrate potential in transient scenarios such as target delivery and shock absorption ...
Xin Na   +6 more
wiley   +1 more source

A novel approach of Homeopathy, Alternative to antibiotics

open access: yesRADS Journal of Biological Research & Applied Science, 2018
Homeopathic system of medicine is globally used alternative system of medicine. It is becoming popular worldwide. However homeopathic system of medicine has to face many criticisms due to presence of ultrahigh dilution. In developed countries where there
Shifa Shaffique   +5 more
doaj  

DOTA‐grafted Cationic Polymers Behaving as Powerful Macromolecular Resistance‐reversal Agents (MRRAs) Combating Against New Delhi Metallo‐β‐lactamase (NDM)‐producing Bacteria

open access: yesAdvanced Science, EarlyView.
Two macromolecular resistance‐reversal agents (MRRAs)—linear (MRRAL) and nanostructured (MRRAN) polymers were fabricated by integrating DOTA motifs into tunable polycationic scaffolds. MRRAs exhibit superior antibacterial potency once combined with meropenem (MEM) through (i) bacterial membrane disruption via localized cationic charge and ...
Ruixue Wang   +9 more
wiley   +1 more source

Dilute but Dense – Reversible Crosslinking Enables Water‐Rich (Bio)polymer Condensates

open access: yesAdvanced Science, EarlyView.
Reversible crosslinking between two types of (bio)polymers drives liquid–liquid phase separation even in good solvent. The arrangement of binding motifs controls condensate formation and density, and internal network structure. Simulations and theory reveal a closed‐loop coexistence phase diagram at very low monomer concentrations and re‐entrant ...
Xinxiang Chen   +4 more
wiley   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

Why Computational Photochemistry Is Challenging and Will Probably Remain So: A Quantum Chemist's Perspective

open access: yesAdvanced Science, EarlyView.
Computational Photochemistry has made great strides in recent decades, but the investigation of larger molecules remains a challenge due to the inherent dilemma between the increasing computational accuracy required as the molecule size increases and the inevitable explosion in computational effort.
Andreas Dreuw
wiley   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu   +5 more
wiley   +1 more source

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