Results 51 to 60 of about 108,153 (267)

The effective bootstrap

Journal of High Energy Physics, 2016
30 pages, 15 figures, 3 tables; v2: minor ...
Echeverri, Alejandro Castedo, Von Harling, Benedict, Serone, Marco   +2 more
openaire   +4 more sources

Winter Holts Oscillatory Method: A New Method of Resampling in Time Series. [PDF]

South Asian Journal of Management Sciences, 2016
The core proposition behind this research is to create innovative methods of bootstrapping that can be applied in time series data. In order to find new methods of bootstrapping, various methods were reviewed; The data of automotive Sales, Market Shares ...
Muhammad Imtiaz Subhani, Muhammad Furquan Saleem   +1 more
doaj   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

SEM-Based Methods to Form Confidence Intervals for Indirect Effect: Still Applicable Given Nonnormality, Under Certain Conditions

Frontiers in Psychology, 2020
A SEM-based approach using likelihood-based confidence interval (LBCI) has been proposed to form confidence intervals for unstandardized and standardized indirect effect in mediation models. However, when used with the maximum likelihood estimation, this
Ivan Jacob Agaloos Pesigan, Shu Fai Cheung   +1 more
doaj   +1 more source

Accounting for Uncertainties in Biodiversity Estimations: A New Methodology and Its Application to the Mesopelagic Sound Scattering Layer of the High Arctic

Frontiers in Ecology and Evolution, 2022
Measures of biological diversity (biodiversity) are important for monitoring the state of ecosystems. Several indices and methods are used to describe biodiversity from field observations.
Bent Herrmann, Bent Herrmann, Bent Herrmann, Kristine Cerbule, Kristine Cerbule, Jure Brčić, Eduardo Grimaldo, Eduardo Grimaldo, Maxime Geoffroy, Maxime Geoffroy, Malin Daase, Jørgen Berge, Jørgen Berge, Jørgen Berge   +13 more
doaj   +1 more source

Stress History Establishes a Transient Tolerant State That Shapes Antibiotic Survival Upon Resuscitation

Advanced Science, EarlyView.
High‐throughput single‐cell analysis of resuscitating bacteria reveals a starvation‐history‐dependent transiently tolerant subpopulation that survives β$\beta$‐lactam exposure by temporarily reducing growth. Distinct from classical persisters, these actively growing yet dynamically modulated cells dominate survival across clinically relevant antibiotic
Kieran Abbott, Georgeos Hardo, Ruizhe Li, Jack Bradley, Ashraf Zarkan, Somenath Bakshi   +5 more
wiley   +1 more source

Estimating technology adoption and technical efficiency in smallholder maize production: A double bootstrap DEA approach

Cogent Food & Agriculture, 2020
The study examined how farmers’ technological choice affects technical efficiency (TE) in small-scale maize production in northern Ghana. A random sample of 340 respondents took part in the study.
Benjamin Tetteh Anang, Hamdiyah Alhassan, Gideon Danso-Abbeam   +2 more
doaj   +1 more source

Multimodal Imaging Reveals Rapid Catecholamine Uptake and Release by Neutrophils

Advanced Science, EarlyView.
We show that immune cells (neutrophils) synthesize, uptake, and store catecholamine neurotransmitters such as dopamine or adrenaline. They also release them in response to specific stimuli (serotonin), which we directly visualize using fluorescent nanosensors. We further demonstrate that catecholamines affect neutrophil functions (NETosis) and platelet
Jennifer Mohr, Anne Schmitz, Meshkat Dinarvand, Franziska Wulfert, Sangeetha Shankar, Bjoern F. Hill, Michael Wojak, Juliana Gretz, Marie Britz, Elsa Neubert, Magdalena Shumanska, Sofia Kaushik, Linda Kartaschew, Ivan Bogeski, James Daniel, Sebastian Jung, Johannes Eble, Guido Wabnitz, Luise Erpenbeck, Sebastian Kruss   +19 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

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source