Results 91 to 100 of about 86,846,818 (240)

Targeting GALNT7 Disrupts the TAZ O‐GalNAcylation Feedback Loop to Suppress Gallbladder Cancer Progression

open access: yesAdvanced Science, EarlyView.
Aberrant GALNT7‐mediated O‐GalNAcylation stabilizes TAZ to drive gallbladder cancer progression through a feed‐forward transcriptional loop. Structure‐based screening identifies Olaparib as a potent GALNT7 antagonist that disrupts this oncogenic axis, providing an immediate therapeutic strategy for this aggressive malignancy.
Peng Qiu   +11 more
wiley   +1 more source

Stress-Aware Stackelberg Pricing for Probabilistic Grid Impact Mitigation of Bidirectional EVs

open access: yesSmart Cities
This paper presents an integrated techno–economic framework for coordinated grid-to-vehicle and vehicle-to-grid (G2V–V2G) operation in unbalanced distribution networks. A hardware-compatible bidirectional charger with nested AC/DC and DC/DC control loops,
Amit Hasan Abir   +3 more
doaj   +1 more source

Unraveling Bone‐Skin Crosstalk Enables miRNA Nanoformulation for Cutaneous Neurovascular Reconstruction in Diabetic Mice

open access: yesAdvanced Science, EarlyView.
This study unravels that bone fracture accelerates diabetic wound healing by releasing exosomal microRNA (miR‐130b‐3p). To mimic this bone‐skin crosstalk, we engineered a self‐assembling agomir‐130b‐3p nanocomplex. Delivered via a photocrosslinkable hydrogel, this bio‐inspired therapy provides sustained localized agomir release.
Tao Shen   +14 more
wiley   +1 more source

Controlled Peptide Capture and Release in 3D‐Printed Multimaterial Microstructures

open access: yesAdvanced Science, EarlyView.
Two‐photon laser printing of 3D microstructures using a peptide‐containing ink is shown. The microstructures allow for controlled capture and release of target peptides through coiled‐coil interaction with the printed peptide inside the material. Based on these properties, orthogonal capture and stimuli‐mediated release possibilities inside printed ...
Niklas Schwegler   +4 more
wiley   +1 more source

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

open access: yesAdvanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun   +9 more
wiley   +1 more source

A Vehicle-to-Grid System for Controlling Parameters of Microgrid System. [PDF]

open access: yesSensors (Basel), 2023
Sarda J   +5 more
europepmc   +1 more source

Optimizing fairness in bi-directional charging for electric vehicles: A two-stage model for energy scheduling management

open access: yesNext Energy
Electric vehicles (EVs) are rapidly replacing internal combustion cars in urban transportation markets. Smart charging technology and vehicle-to-grid systems enable bi-directional charging, allowing for load shifting and shaping, which reduces both ...
Xian-Long Lee   +4 more
doaj   +1 more source

Targeted Multifunctional Fluorine‐Rich Copolymer Coating Design for Ambient‐Stable Prelithiated SiOC Anodes

open access: yesAdvanced Science, EarlyView.
A fluorine‐rich acrylate copolymer, poly (tridecafluorooctyl methacrylate‐co‐methyl methacrylate) (PFMMA), is introduced as a multifunctional protective coating to stabilize the prelithiated SiOC electrodes in humid conditions and preserve unimpeded interfacial ion/charge transport during redox reactions.
Rong Chen   +10 more
wiley   +1 more source

Innovative Bidirectional Isolated High-Power Density On-Board Charge for Vehicle-to-Grid. [PDF]

open access: yesSensors (Basel), 2022
Hrbac R   +7 more
europepmc   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park   +3 more
wiley   +1 more source

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