Results 51 to 60 of about 36,916 (300)
Using Volunteer Computing to Study Some Features of Diagonal Latin Squares
In this research, the study concerns around several features of diagonal Latin squares (DLSs) of small order. Authors of the study suggest an algorithm for computing minimal and maximal numbers of transversals of DLSs.
Vatutin Eduard +3 more
doaj +1 more source
Dimensional Lifting through the Generalized Gram–Schmidt Process
A new way of orthogonalizing ensembles of vectors by “lifting” them to higher dimensions is introduced. This method can potentially be utilized for solving quantum decision and computing problems.
Hans Havlicek, Karl Svozil
doaj +1 more source
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso +5 more
wiley +1 more source
Geometric Optimization and Structural Analysis of Cable-Braced Gridshells on Freeform Surfaces
In freeform surface grid structures, quadrilateral meshes offer high visual transparency and simple joint connections, but their structural stability is relatively limited.
Xinye Li, Qilin Zhang
doaj +1 more source
AbstractWe give a new construction showing how new orthomodular lattices can be built out of old ones by choosing any join dense subset of the given orthomodular lattice and putting a lexicographic orthogonality relation on the free monoid generated by this subset. This construction has relevance to the logic of an empirical science and, in particular,
David J. Foulis, C. H. Randall
openaire +3 more sources
Spatial heterogeneity of hotspot mutations and clonal relatedness in ovarian endometrioid carcinoma
Spatially resolved analysis revealed heterogeneous distributions of selected cancer‐associated mutations within ovarian endometrioid carcinomas. Shared mutations between paired endometrial and ovarian tumors supported clonal relatedness. These findings highlight the value of sampling multiple tumor regions when interpreting molecular profiles ...
Takahito Ashihara +10 more
wiley +1 more source
Diverse Subset Selection via Norm-Based Sampling and Orthogonality
Large annotated datasets are crucial for the success of deep learning, but labeling data can be prohibitively expensive in domains such as medical imaging.
Noga Bar, Raja Giryes
doaj +1 more source
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Richard P. Anstee, Lou Caccetta
openaire +2 more sources
The multifaceted roles of lysosomes in cancer
Lysosomes support cancer cell adaptation by integrating macromolecule degradation and nutrient recycling with nutrient sensing, inter‐organelle communication and immune regulation. These interconnected functions can promote tumour growth, stress tolerance and therapy resistance, while also creating context‐dependent vulnerabilities that may be ...
Jia Li, Kevin M. Ryan
wiley +1 more source
Utilizing code orthogonality information for interference suppression in UTRA downlink [PDF]
This paper suggests the use of code orthogonality information in an iterative, zero forcing interference suppression scheme. This simple scheme is applicable in UTRA downlink conditions.
Hunukumbure, MR, Beach, MA, Webber, JL
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