Results 111 to 120 of about 151,158 (307)

Enhancing CAR‐T Cell Efficacy in Solid Tumors by Inhibiting CCL5/VEGF‐Mediated Angiogenesis

open access: yesAdvanced Science, EarlyView.
This study reveals that CAR‐T cells in solid tumors produce CCL5, which paradoxically induces VEGF and angiogenesis to promote tumor growth. Blocking CCL5/VEGF signaling—through gene knockout, or the CCR5 inhibitor maraviroc—significantly enhances the antitumor efficacy of CAR‑T therapy (the diagram was created in Biorender).
Shishuo Sun   +15 more
wiley   +1 more source

Research on state monitoring and diagnosis models for multi-state systems based on Petri nets

open access: yesResults in Engineering
Petri nets (PNs) are an effective modeling method for system fault diagnosis and monitoring. However, basic Petri nets (BPNs) cannot distinguish between different resource types and cannot determine the firing weights of transitions based on the ...
Haohao Liu   +3 more
doaj   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

On the Use of Fault Tree Analysis to Capture Dynamic and Multistate Aspects in the Analysis of Hydrogen Systems

open access: yesChemical Engineering Transactions
Hydrogen systems are being deployed to reduce fossil fuel dependence and support cleaner energy. Large-scale upscaling of hydrogen technology demands a strong understanding of reliability and risk.
Dikshya Bhandari, Jon Tømmerås Selvik
doaj  

MFPD: A Multiple Fungal Pathogen Detection Pipeline Across Diverse Habitats

open access: yesAdvanced Science, EarlyView.
The MFPD pipeline integrates a comprehensive ITS reference database of fungal pathogens, optimized parameters, and algorithms tailored for both full‐length and subregion sequences that balance accuracy and computational efficiency; it enables high‐throughput, species‐level identification from amplicon sequencing data, supporting large‐scale ...
Yi Shen   +13 more
wiley   +1 more source

Integrated Diagnosis and Prognosis of Dynamic Systems Using Deep Learning: Case Study on a Welding Robot

open access: yesIEEE Access
This study addresses the challenges of diagnosis and prognosis in complex dynamic systems, focusing on an industrial MIG/MAG robotic welding application.
Aslain Brisco Ngnassi Djami   +1 more
doaj   +1 more source

Power Quality Enhancement in Grid-Connected Systems using Dynamic Voltage Restorer with Switched Inductor Cascade Boost Converter [PDF]

open access: yesProblems of the Regional Energetics
The main objectives of the study are to improve power quality (PQ) in grid-connected systems and mitigate voltage disturbances by using a dynamic voltage restorer (DVR) powered by a Photovoltaic (PV) system.
Lakshminarayana G.   +3 more
doaj   +1 more source

Large‐Scale Genomics Reveals Three‐Source Ancestry and Layered Adaptation to High Altitude in Tibetan Chickens

open access: yesAdvanced Science, EarlyView.
Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao   +7 more
wiley   +1 more source

SparseBonsai: A Dynamic, Resource-Efficient Classification Model for Edge Computing and Industrial IoT

open access: yesTikrit Journal of Engineering Sciences
The rapid evolution of edge computing and IIoT ecosystems demands lightweight machine learning models that deliver accurate predictions under resource constraints.
Neelamadhab Khaya   +5 more
doaj   +1 more source

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

open access: yesAdvanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan   +13 more
wiley   +1 more source

Home - About - Disclaimer - Privacy