Results 101 to 110 of about 83,436 (308)
Measures of Qualitative Variation in the Case of Maximum Entropy [PDF]
Asymptotic behavior of qualitative variation statistics, including entropy measures, can be modeled well by normal distributions. In this study, we test the normality of various qualitative variation measures in general.
core
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi +14 more
wiley +1 more source
Income Distributions and Decomposable Divergence Measures [PDF]
Inequality indices (i) evaluate the divergence between the income distribution and the hypothetical situation where all individuals have the mean income and (ii) are unambiguously reduced by a Pigou-Dalton progressive transfer.
Brice Magdalou, Richard Nock
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Some Inequalities For The Kullback-Leibler And x²−Distances In Information Theory And Applications [PDF]
Inequalities for the Kullback-Leibler and x²−distances and applications for Shannon’s entropy and mutual information are ...
Dragomir, Sever S +2 more
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Unified (r, S)-entropy And Its Bivariate Measures [PDF]
There exist various generalizations of Shannon's entropy involving one and/or two real parameters. Some of these generalizations are written in a unified way that is called unified (r, s)-entropy.
Taneja I.J., Rathie P.N.
core +1 more source
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Novel Brain Complexity Measures Based on Information Theory [PDF]
Brain networks are widely used models to understand the topology and organization of the brain. These networks can be represented by a graph, where nodes correspond to brain regions and edges to structural or functional connections. Several measures have
Bardera, A. +3 more
core +1 more source
Tumor B‐cell infiltration in platinum‐treated advanced muscle‐invasive urothelial carcinoma
Bladder tumors with higher pretreatment memory B‐cell infiltration were linked to longer survival after cisplatin chemotherapy, but not carboplatin. These tumors also showed more organized immune structures (tertiary lymphoid structures) and a shared pro‐inflammatory B‐cell‐rich community, suggesting that memory B cells may help identify patients most ...
Konrad Stawiski +10 more
wiley +1 more source
A key tenet of the Transactional Interpretation of Quantum Mechanics is the idea that photon absorption localizes the absorbing material system. In doing so, it measures the location of the absorber and hence reduces information entropy which in turn ...
Andreas Schlatter, R. E. Kastner
doaj +1 more source
Raman‐based label‐free microscopic analysis of the pancreas in living zebrafish larvae
Forward stimulated Raman scattering (F‐SRS) and epi coherent anti‐Stokes Raman scattering (E‐CARS) allow label‐free discrimination of distinct subcellular structures in the pancreas of living zebrafish larvae. Given the straightforward applicability, we anticipate broad implementation of Raman microscopy in other organs and across various biomedical ...
Noura Faraj +3 more
wiley +1 more source

