Results 91 to 100 of about 690,102 (265)

Optimizing neutron-gamma discrimination in scintillation detectors using Tucker decomposition

open access: yesKuwait Journal of Science
Neutron-gamma discrimination is essential for applications in radiation monitoring and nuclear safety. Conventional methods often face challenges related to complex signal processing and experimental constraints.
Imane Ahnouz   +2 more
doaj   +1 more source

Ultrasound‐Activated Ce(IV)‐Integrated Biomimetic Nanoplatform for Oxygenation‐Reinforced Gas‐Sonodynamic Ferroptosis and cGAS–STING‐Driven Antitumor Immunity

open access: yesAdvanced Science, EarlyView.
A Ce(IV)‐integrated biomimetic nanoplatform coordinates tumor oxygenation, ultrasound‐triggered carbon monoxide release, sonodynamic therapy, ferroptosis amplification, and cyclic GMP–AMP synthase (cGAS)–stimulator of interferon genes (STING) immune activation.
Mengli Ma   +17 more
wiley   +1 more source

Exploring Tensor-Based Optimization for Missing EEG Signal Recovery: A Comparative Study of Optimization Methods Across Different Tensor Decomposition Frameworks

open access: yesIEEE Access
Electroencephalography (EEG) signals are frequently compromised by missing data due to electrode contact issues or subject movement. Tensor decomposition has emerged as a powerful technique for analyzing multidimensional EEG data.
Yue Zhang   +3 more
doaj   +1 more source

NCLX Inhibition plus Ca2+ Delivery Potentiates Electroporation and Antitumor Immunity in Pancreatic Ductal Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
Electroporation combined with NCLX inhibition and Ca2+ delivery induces mitochondrial Ca2+ overload in PDAC cells, triggering pyroptosis, DAMP release, and antitumor immune activation. Simultaneously, suppression of tumor‐derived SPP1 weakens SPP1–CD44 signaling and remodels macrophages toward an antitumor phenotype, thereby enhancing CD8+ T‐cell ...
Chuanbing Zhao   +7 more
wiley   +1 more source

Efficient enhancement of low-rank tensor completion via thin QR decomposition

open access: yesFrontiers in Big Data
Low-rank tensor completion (LRTC), which aims to complete missing entries from tensors with partially observed terms by utilizing the low-rank structure of tensors, has been widely used in various real-world issues.
Yan Wu, Yunzhi Jin
doaj   +1 more source

Tubocapsenolide A Overcomes Oxaliplatin Resistance in Colorectal Cancer by Targeting PLK1 to Impair CEP55–ESCRT‐Associated Vesicular Damage Clearance

open access: yesAdvanced Science, EarlyView.
Oxaliplatin‐resistant colorectal cancer cells utilize a previously unappreciated PLK1‐CEP55‐ESCRT‐driven vesicular extrusion mechanism to clear L‐OHP‐induced cellular damage. The natural withanolide Tubocapsenolide A directly targets and inhibits PLK1 to disrupt this specific damage‐clearance machinery. This blockade induces severe nucleolar stress and
Yueying Yang   +15 more
wiley   +1 more source

Hyperspectral Image Denoising via $L_{0}$ Regularized Low-Rank Tucker Decomposition

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This article studies the mixed noise removal problem for hyperspectral images (HSIs), which often suffer from Gaussian noise and sparse noise. Conventional denoising models mainly employ the $L_{1}$-norm-based regularizers to remove sparse noise and ...
Xin Tian, Kun Xie, Hanling Zhang
doaj   +1 more source

Integrated Multiomic Analysis Reveals an EBV‐Associated MIF–SPP1+ Macrophage Axis Linking Tumor Stemness and Immune Dysfunction in Nasopharyngeal Carcinoma

open access: yesAdvanced Science, EarlyView.
This study maps how Epstein–Barr virus reshapes the cellular ecosystem of nasopharyngeal carcinoma. It identifies SPP1+ macrophages as partners of stemness‐associated tumor cells and dysfunctional T cells, links tumor‐derived MIF to macrophage recruitment and programming, and shows that macrophage‐derived SPP1 promotes tumorsphere formation and impairs
Guo‐Ying Liu   +15 more
wiley   +1 more source

Accelerated Low-Rank Tensor Completion via Projected Tensor Block Coordinate Descent

open access: yesIEEE Access
The low-rank tensor completion problem aims to find a low-rank approximation of a tensor by filling in missing entries from partially observed entries to enhance the accuracy of the tensor data analysis.
Geunseop Lee
doaj   +1 more source

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