Results 141 to 150 of about 654,066 (314)
A universal separable metric locally finite-dimensional space [PDF]
Brett R. Wenner
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On the k-metric Dimension of Metric Spaces
The metric dimension of a general metric space was defined in 1953, applied to the set of vertices of a graph metric in 1975, and developed further for metric spaces in 2013. It was then generalised in 2015 to the k-metric dimension of a graph for each positive integer k, where k=1 corresponds to the original definition.
Beardon, A. F.+1 more
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Carcinoma‐associated fibroblasts (CAFs) in tumors influence cancer progression. We identified endoglin (ENG) as a key factor in TGF‐β signaling in myofibroblastic CAFs (myCAFs), linked to poor breast cancer outcomes. Inhibiting ENG on myCAFs suppressed the TGF‐β‐Smad2/3 pathway, reducing primary tumor growth and metastasis.
Shoki Okubo+11 more
wiley +1 more source
In thyroid cancer patients, high‐dose (≥7.4 GBq) radioactive iodine therapy (RAIT) was associated with a higher prevalence of clonal hematopoiesis (variant allele frequency >2%) in individuals aged ≥50 years (OR = 2.44). In silico analyses showed that truncating PPM1D mutations conferred a selective advantage under these conditions.
Jaeryuk Kim+11 more
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Infinite Dimensional Differential Metrics with Constant Curvature
A. D. Michal
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Almost coquaternion metric structures on $3$-dimensional manifolds [PDF]
Constantin Udrişte
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In prostate carcinoma, lactic acid, secreted by highly glycolytic cancer‐associated fibroblasts, is imported into tumor cells through the MCT1 transporter and prevents RSL3 and erastin‐induced ferroptosis (A). Targeting of carbonic anhydrase IX/XII, the main extracellular pH regulators, in tumor and stromal cells reduces microenvironmental acidosis and
Elisa Pardella+18 more
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Normal almost contact metric manifolds of dimension three [PDF]
Zbigniew Olszak
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On a metric characterizing dimension [PDF]
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This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima+6 more
wiley +1 more source