Results 91 to 100 of about 3,935,477 (223)
An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters
Accurate classification of land-use/cover based on remotely sensed data is important for interpreters who analyze time or event-based change on certain areas.
Şinasi Kaya +3 more
doaj +1 more source
Towards unsupervised online band selection in hyperspectral imaging. [PDF]
This thesis explores the problem of unsupervised selection of a set of spectral wavebands in a hyperspectral sensor for a surveillance task. Selecting a subset of wavebands for surveillance has the advantage of reducing data throughput and hence network ...
Balasubramanian, Gautam
core
Phase separation of SF3B1 acts as a key regulatory mechanism for dynamic alternative splicing throughout early mouse embryogenesis. Its absence triggers extensive splicing errors, which induce persistent DNA damage, defective cell cycle progression, and failed cell lineage commitment, and ultimately hinder the normal growth and development of ...
Kang Zhao +15 more
wiley +1 more source
The inherent high dimensionality of hyperspectral imagery presents both opportunities and challenges for agricultural crop classification. This study offers a rigorous comparative evaluation of three U-Net-based architectures, i.e., U-Net, U-Net++, and ...
Georgios Dimitrios Gkologkinas +3 more
doaj +1 more source
Single‐Cell Profiling Reveals Clonally Expanded CX3CR1+ T Cells in Anti‐NMDA Receptor Encephalitis
CX3CR1+ T cells are associated with peripheral and central immune alterations in anti‐NMDA receptor encephalitis (NMDAR‐E). They show potential responsiveness to GluN1 (NR1) peptides, potential interactions with peripheral B cells, clonal expansion, increased CD137/CD154 expression, and inflammatory cytokine production. Their preferential cerebrospinal
Lin Yan +13 more
wiley +1 more source
Structure-Preserved and Weakly Redundant Band Selection for Hyperspectral Imagery
In recent years, sparse self-representation has achieved remarkable success in hyperspectral band selection. However, the traditional sparse self-representation-based band selection methods tend to neglect the spatial distribution differences and ...
Baijia Fu +4 more
doaj +1 more source
Chronic stress reshapes the gut microbiota and enriches Lactobacillus reuteri, promoting microbiota‐associated kynurenine accumulation through altered tryptophan metabolism. Kynurenine drives immunosuppressive remodeling of tumor‐associated macrophages through TNFR2–C/EBPβ signaling, thereby enhancing gastric cancer dissemination.
Sicheng Zhao +9 more
wiley +1 more source
A sono‐responsive chemo‐immune checkpoint nanoinhibitor (Sono‐TT8) co‐delivering TPZ chemotherapy and siXkr8 simultaneously kills tumor cells and blocks PS externalization, reversing chemotherapy‐induced immunosuppression and enhancing antitumor immunity. ABSTRACT Breast cancer features an immunosuppressive tumor microenvironment following chemotherapy
Yunfan Liu +13 more
wiley +1 more source
Hierarchical Clustering and Schur Complement for Automatic Hyperspectral Band Selection
Band selection is a crucial step in hyperspectral imaging to reduce spectral redundancy and processing costs whilst retaining information useful for classification. Most existing approaches require the number of bands to be retained to be set manually or
Valérie N’Guessan Gboulouhonon Komenan N’dri +3 more
doaj +1 more source
University Concert Band, University Symphonic Band, December 16, 1979
Recorded during a live performance at Miller Auditorium, Western Michigan University, Kalamazoo, Michigan, December 16, 1979, program no. 142 of the Department of Music's 1979-1980 season.1st-4th works: University Concert Band, Gregory Talford, conductor.
Western Michigan University. Concert Band,
core

