Results 121 to 130 of about 690,102 (265)
ABSTRACT A simulation experimental device was established and utilized to study the phenomenon of solution leakage in nuclear fuel cycle facilities. The particle size and concentration distribution of aerosols released from solution leakage were investigated at different temperatures using ELPI and LPSA.
Zhi Zhang +10 more
wiley +1 more source
Tensor-Based Channel Estimation Considering Beam Squint Effects in LEO Satellite Communications
In this paper, we propose a tensor-based channel estimation framework for beam squint-aware low Earth orbit (LEO) downlink communication at a ground station.
Kyungrak Son, Pansoo Kim, Jung Hoon Lee
doaj +1 more source
Identifiability of Nonnegative Tucker Decompositions—Part I: Theory
Abstract. Tensor decompositions have become a central tool in data science, with applications in areas such as data analysis, signal processing, and machine learning. A key property of many tensor decompositions, such as the canonical polyadic decomposition, is identifiability: the factors are unique, up to trivial scaling and ...
Saha, Subhayan +2 more
openaire +3 more sources
Dissecting the dissection laboratory: Elements for designing a human anatomy laboratory
Abstract The human anatomy dissection laboratory is a critical component of anatomical and medical education. Development, maintenance, and stocking of these laboratory spaces have unique demands, with all of the challenges in running a laboratory with Biosafety Laboratory Level 2 (BSL‐2) classification, housing a large volume of tissues saturated with
Rhiannon E. Robinson +13 more
wiley +1 more source
Anomaly detection in multispectral imagery must cope with high-dimensional inputs, scarce labeled anomalies and operational constraints. Tensor decompositions offer a structured way to compress such data, but their impact on anomaly detection performance
Anthony Chan Chan
doaj +1 more source
Abstract This work studies the combined effect of increasing the post‐reformer temperature and introducing red mud as a support catalyst in the thermocatalytic reforming (TCR®) of digestate. The TCR® method, developed by the Fraunhofer Institute for Environmental, Safety and Energy Technology UMSICHT (abbreviated as Fraunhofer UMSICHT), is an extension
Hillary Onyishi +4 more
wiley +1 more source
Harnessing ferroptosis from multilayer defense networks to nanoplatforms for specific cancer therapy
Nanomaterials target metabolically‐regulated ferroptosis for cancer therapy. Iron‐based or alternative nanoplatforms integrate ferroptosis with chemotherapy, immunotherapy, or radiotherapy. They enable stimulus‐responsive therapies (photothermal, photodynamic, sonodynamic) activated by near‐infrared, light, or ultrasound, achieving potent synergistic ...
Xinyue Xu +5 more
wiley +1 more source
This study provides an integrated spherical nucleic acid nanoreactor (denoted as AMCuD) for targeted PD‐L1 degradation and chemo‐dynamically enhanced cuproptosis to synergically elicit robust immunotherapy against the triple‐negative breast cancer (TNBC) growth, recurrence and metastasis.
Ningxi Li +9 more
wiley +1 more source
Nanomedicine‐Driven Strategies for Suppressing Postoperative Tumor Recurrence. This schematic illustrates three pivotal nanomedical strategies that synergistically counteract recurrence by targeting residual disease and the immunosuppressive tumor microenvironment within the surgical cavity.
Lisong Pang +8 more
wiley +1 more source
Engineered bacteria serve as smart, living therapeutics that target tumors, deliver drugs, and remodel immunosuppressive microenvironments. This review highlights their potential to potentiate immunotherapy, radiotherapy, and chemotherapy, offering a promising paradigm for precise and synergistic cancer treatment. Abstract The dynamic interplay between
Haonan Shen +9 more
wiley +1 more source

