Results 151 to 160 of about 403,307 (296)
Discrete Mathematics, 2000 Tverberg's theorem says that every set of \((m-1)(d+1)+1\) points in \(\mathbb{R}^d\) can be divided into \(m\) subsets whose convex hulls have a common point. The case \(m=2\) is known as Radon's theorem. Generalization to arbitrary convexity spaces leads to the partition conjecture. This paper gives a survey on known results and proves the conjecture
openaire +2 more sources
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Molecular Oncology, EarlyView.Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
Analysis of load balance in hybrid partitioning
, 2010 In information retrieval systems, there are three types of index partitioning schemes - term partitioning, document partitioning, and hybrid partitioning. The hybrid-partitioning scheme combines both term and document partitioning schemes.
N.P Motlogelwa +3 more
core +1 more source
Engineering IL‐4 resistant proinflammatory human myeloid cells for cancer immunotherapy
Molecular Oncology, EarlyView.We developed a scalable workflow to generate proinflammatory human myeloid cells. CRISPR/Cas9‐edited CD34+ hematopoietic stem and progenitor cells were expanded and differentiated with M‐CSF. Deletion of STAT6 or STAT6/NFKB1 enhanced macrophage proinflammatory gene expression and cytokine secretion in the presence of IL‐4 while maintaining antibody ...
Theresa Barberi, Alan D. Friedman
wiley +1 more source
Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer
Molecular Oncology, EarlyView.New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau +9 more
wiley +1 more source
The logic of organizational markets: thinking through resource partitioning theory [PDF]
Resource partitioning theory claims that Increasing concentration enhances the life chances of specialist organizations. We systemati- cally think through this theory,specify implicit background assump- tions,sharpen concepts,and rigorously check the ...
Bruggeman, J., Vermeulen, I.
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Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up
Molecular Oncology, EarlyView.This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani +7 more
wiley +1 more source
Solving large scale crew scheduling problems by using iterative partitioning [PDF]
This paper deals with large-scale crew scheduling problems arisingat the Dutch railway operator, Netherlands Railways (NS). NSoperates about 30,000 trains a week. All these trains need a driverand a certain number of conductors.
Abbink, E.J.W.
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The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection
Molecular Oncology, EarlyView.Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński +12 more
wiley +1 more source
, 2001 A novel decision feedback equaliser (DFE) scheme is derived based on multiple-hyperplane partitioning of signal space for detecting $M$-ary PAM symbols transmitted through an intersymbol interference (ISI) and noisy channel.
Mulgrew, B., Hanzo, L., Chen, S.
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