Results 81 to 90 of about 145,962 (303)
Advanced Science, EarlyView.TIPE1m NPs nanoparticles restore TIPE1 expression, promote RAB7A ubiquitination and degradation, suppress autophagic flux, and resensitize paclitaxel‐resistant triple‐negative breast cancer to therapy. ABSTRACT Acquired paclitaxel (PTX) resistance remains a major obstacle in triple‐negative breast cancer (TNBC) treatment.
Wei Hu +9 more
wiley +1 more source
Bootstrapping Analysis, Inferential Statistics and EXCEL [PDF]
, 2011 Performing a parametric statistical analysis requires the justification of a number of necessary assumptions. If assumptions are not justified research findings are inaccurate and in question. What happens when assumptions are not or cannot be addressed?
John A Rochowicz Jr
core
Advanced Science, EarlyView.TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao +8 more
wiley +1 more source
Instantaneous Frequency Estimation Using Stochastic Calculus and Bootstrapping
EURASIP Journal on Advances in Signal Processing, 2005 Stochastic calculus methods are used to estimate the instantaneous frequency of a signal. The frequency is modeled as a polynomial in time. It is assumed that the phase has a Brownian-motion component. Using stochastic calculus, one is able to develop a
Abutaleb A
doaj +1 more source
International Journal of Occupational Medicine and Environmental Health, 2013 Introduction: The purpose of this study was to analyze the role of general and occupational stress in the relationship between workaholism (recognized in two ways: as addiction and as behavioral tendency) and the intensity of work-family and familywork ...
Mateusz Hauk, Jan Chodkiewicz
doaj +1 more source
Bootstrapping Neural Networks [PDF]
Neural Computation, 2000 Knowledge about the distribution of a statistical estimator is important for various purposes, such as the construction of confidence intervals for model parameters or the determination of critical values of tests. A widely used method to estimate this distribution is the so-called bootstrap, which is based on an imitation of the probabilistic ...
Franke, Jürgen, Neumann, Michael
openaire +3 more sources
Rhizodeposition Drives One Third of Belowground Carbon Input in Agroecosystems
Advanced Science, EarlyView.This study quantifies photosynthesized C allocation in the plant–soil system across six crop types: barley, wheat, maize, rice, legumes and grasses. It reports C partitioning into shoot respiration, shoot‐C, root‐C, net rhizodeposition and root‐derived CO2, providing standardized percentage averages and GPP‐derived absolute values as a robust baseline ...
Zhengjun Yan +10 more
wiley +1 more source
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Growing demand for healthier beverages is driving innovation in the wine sector, with dealcoholized wine emerging as a promising alternative. However, little is known about the contextual conditions under which consumers would choose dealcoholized wine, particularly in countries with strong wine traditions. To fill this gap, this work examines
Giovanna Piracci +4 more
wiley +1 more source
UNINFORMATIVE BOOTSTRAPPING [PDF]
Cladistics, 1996 The effect of uninformative characters on the “significance levels” obtained by bootstrapping in cladistic analysis is investigated empirically. Twenty‐eight data sets from Platnick's benchmarks are analysed with Siddall's Random Cladistics bootstrapping module and Farris’Hennig86 program, using 1000 replicates and exact calculations.
openaire +2 more sources
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT This paper examines the relationship between participation in the EU Rural Development Program and the economic performance of Italian olive farms using a finite‐mixture model with inverse‐probability‐weighted regression adjustment. Based on 2010–2022 FADN panel data, it estimates heterogeneous treatment effects while correcting for selection ...
Francesco Caracciolo, Marilena Furno
wiley +1 more source