Results 131 to 140 of about 116,837,975 (272)
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang +10 more
wiley +1 more source
EBV‑BZLF1 initiates ODC1‑driven polyamine anabolism that correlates with poor clinical prognosis in nasopharyngeal carcinoma. The ODC1–spermidine axis promotes viral replication, cell proliferation and innate immune evasion. Pharmacological inhibition of ODC1 rescues cisplatin sensitivity, establishing ODC1 as a viable therapeutic target for EBV ...
Yueshuo Li +9 more
wiley +1 more source
Applied Multivariate Research, v.13 no.1 (complete version)
The first issue of Applied Multivariate Research edited by Dennis L. JacksonDigitized and published in SOAR:Shocker Open Access Repository by Wichita State University Libraries Technical Services.Multivariate models for three dimensional data / James W ...
core +1 more source
Testing for Bivariate Spherical Symmetry [PDF]
An omnibus test for spherical symmetry in R2 is proposed, employing localized empirical likelihood. The thus obtained test statistic is distri- bution-free under the null hypothesis. The asymptotic null distribution is established and critical values for
Gantner, M., Einmahl, J.H.J.
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Rainfall Shapes the Diversity of Soil Nitrogen‐Fixing Microorganisms Worldwide
This study reveals the distinctive pattern and mechanism of rainfall driving the global biodiversity and biogeography of soil potential N‐fixing microorganisms, and constructs the theoretical framework. The results guide us on how to maintain ecosystem productivity under future climate changes (e.g., whether a specific region needs more N fertilizers ...
Bin Hua +18 more
wiley +1 more source
A note on testing the covariance matrix for large dimension [PDF]
We consider the problem of testing hypotheses regarding the covariance matrix of multivariate normal data, if the sample size s and dimension n satisfy lim [n,s→∞] n/s = y. Recently, several tests have been proposed in the case, where the sample size and
Dette, Holger, Birke, Melanie
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An interpretable, unsupervised artificial intelligence framework identifies a 13‐cellular morphometric biomarker (CMB) signature from routine H&E whole‐slide images. Validated across 2,602 patients, the fixed signature generalizes across colorectal, gastric, and esophageal tissues without retraining, stratifies prognosis and precancerous lesion risk ...
Pin Wang +14 more
wiley +1 more source
This study aimed to analyze the explanatory power of EVA® and others traditional accounting indicators, assessing which of these measures is more related to the creation of shareholder wealth. Therefore, we analyzed 748 firms-years between 2005 and 2010.
Luiz Felipe de Araújo Pontes Girão +2 more
doaj
An electronics‐free smart scleral lens passively monitors dry eye disease‐related tear biomarkers through colorimetric sensing of chloride, pH, and ocular surface temperature. Smartphone‐assisted image analysis enables quantitative interpretation, providing a simple, non‐invasive strategy for ocular health monitoring without integrated electronics ...
Ziheng Wang +15 more
wiley +1 more source
On Describing Multivariate Skewness: A Directional Approach [PDF]
Most multivariate measures of skewness in the literature measure the overall skewness of a distribution. While these measures are perfectly adequate for testing the hypothesis of distributional symmetry, their relevance for describing skewed ...
J. T. A. S. Ferreira, M. F. J. Steel
core

