Results 141 to 150 of about 2,020,990 (315)
Rate of Convergence for the Wild Bootstrap in Nonparametric Regression
The Annals of Statistics, 1991 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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FEBS Open Bio, EarlyView.In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes +32 more
wiley +1 more source
Estimation of continuous-time interest rate models: a nonparametric approach [PDF]
This paper presents a general, nonlinear model for term structure interest rate. The approach is the same of Stanton (1997) but it has been extended to a multifactor model. The novel aspect is that rather than choosing the functional specification of the
Orazio Di Miscia
core
FEBS Open Bio, EarlyView.ERα splice variant ERα∆7 lacks the C‐terminus, and its expression may change phenotypes of breast cancers. Our results showed that ERα∆7 is found in the luminal A subtype, and elevated ERα∆7 levels are linked to improved cell survival with lower proliferation and migration.
Long Wai Tsui +10 more
wiley +1 more source
Tariff rate quotas: Does administration matter? [PDF]
At the Uruguay Round, tariff rate quotas (TRQs) were intended to serve two purposes: first, to prevent that tariffication would lead – at least on the short term – to a deterioration of market access and second, to create new, minimum market access.
Mönnich, Christina
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FEBS Open Bio, EarlyView.This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake +4 more
wiley +1 more source
Time charter rate forecasting by Parsimonious Intelligent Support Vector regression Search Engine
Digital Transportation and SafetyReliable and accurate forecasts of time charter rates are crucial for shipowners navigating the highly volatile global shipping market. This paper introduces a novel framework, the Parsimonious Intelligent Support Vector Regression Search Engine (SVRIMSE)
Xuefei Song, Zhong Shuo Chen
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Estimates on learning rates for multi-penalty distribution regression
Applied and Computational Harmonic AnalysisThis paper is concerned with functional learning by utilizing two-stage sampled distribution regression. We study a multi-penalty regularization algorithm for distribution regression under the framework of learning theory. The algorithm aims at regressing to real valued outputs from probability measures.
Zhan Yu, Daniel W.C. Ho
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FEBS Open Bio, EarlyView.Matrix metalloproteinase‐9 (MMP9) drives ovarian cancer progression. Using MMP9‐null cells (M9‐KO) created from ovarian cancer cells, we found MMP9 loss did not block Epidermal Growth Factor (EGF)‐driven E‐cadherin dissolution or EMT but delayed and reduced EGF‐driven membrane protrusions. Transient MMP9 re‐expression drove membrane protrusion.
Claire Strauel +8 more
wiley +1 more source
Investigation of Swedish Krona exchange rate volatility using APARCH-Support Vector Regression
Financial InnovationThis paper investigates the daily exchange rate volatility of the Swedish krona (SEK) against the USD, EUR, GBP, and NOK over the period 2010–2023. Using asymmetric power ARCH (APARCH) models, the analysis uncovers significant differences in volatility ...
Hyunjoo Kim Karlsson, Yushu Li
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