Results 151 to 160 of about 782,515 (314)

Improved confidence interval estimation of the population standard deviation using ranked set sampling: A simulation study

Journal of Biostatistics and Epidemiology, 2018
Background & Aim: The sample standard deviation S is the common point estimator of σ, but S is sensitive to the presence of outliers and may not be an efficient estimator of σ in skewed and leptokurtic distributions.
Ahmed Najeeb Albatineh, Meredith L Wilcox, Bashar Zogheib, Golam B.M. Kibria   +3 more
doaj  

Robust Confidence Intervals in Stereo Matching using Possibility Theory [PDF]

arXiv
We propose a method for estimating disparity confidence intervals in stereo matching problems. Confidence intervals provide complementary information to usual confidence measures. To the best of our knowledge, this is the first method creating disparity confidence intervals based on the cost volume.
arxiv  

Mesenchymal Stem Cells‐Derived Extracellular Vesicles Mimetics as Osteoinductive Mediators for Bone Healing

Advanced Functional Materials, EarlyView.
Mesenchymal stem cell‐derived nanoghosts (MSC‐NGs) mimic naturally secreted extracellular vesicles (MSC‐EVs) in structure and physicochemical properties but can be synthesized at more translatable yields. As osteogenic agents, MSC‐NGs demonstrate superior outcomes compared to MSC‐EVs.
Antoine Karoichan, Ling Li, Celine J. Agnes, Bettina M. Willie, Maryam Tabrizian   +4 more
wiley   +1 more source

Butterfly‐Inspired Hierarchical Hybrid Composites for Lightweight Structural Thermal Management Applications

Advanced Functional Materials, EarlyView.
Emulating nature's unparalleled engineering, this work introduces butterfly‐inspired hybrid composites for high‐performance transportation and defense sectors. Leveraging biomimicry, these lightweight composites feature butterfly leg‐inspired hierarchical fibrous assemblies and butterfly wing‐inspired sandwich‐structured architecture, to achieve ...
Nello D. Sansone, Rafaela Aguiar, Mahmoud Embabi, Nichole Cheung, Anthony V. Tuccitto, Nathan R. S. Chang, Matthew Leroux, Patrick C. Lee   +7 more
wiley   +1 more source

Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics

Advanced Functional Materials, EarlyView.
Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti, Davide Pilati, Gianluca Milano, Carlo Ricciardi   +3 more
wiley   +1 more source

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

Advanced Functional Materials, EarlyView.
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du, Junjie Yang, Ziyu Lv, Yongbiao Zhai, Zezhuang Yi, Yuhui Xie, Ming‐Lin Zheng, Xiangyu Ma, Guodong Gong, Yan Wang, Ye Zhou, Su‐Ting Han   +11 more
wiley   +1 more source

Robust confidence intervals for meta-regression with interaction effects

Computational Statistics
AbstractMeta-analysis is an important statistical technique for synthesizing the results of multiple studies regarding the same or closely related research question. So-called meta-regression extends meta-analysis models by accounting for study-level covariates.
Maria Thurow, Thilo Welz, Eric Knop, Tim Friede, Markus Pauly   +4 more
openaire   +2 more sources

Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening [PDF]

arXiv
Inverse propensity-score weighted (IPW) estimators are prevalent in causal inference for estimating average treatment effects in observational studies. Under unconfoundedness, given accurate propensity scores and $n$ samples, the size of confidence intervals of IPW estimators scales down with $n$, and, several of their variants improve the rate of ...
arxiv  

Flow‐Induced Vascular Remodeling on‐Chip: Implications for Anti‐VEGF Therapy

Advanced Functional Materials, EarlyView.
Flow‐induced vascular remodeling plays a critical role in network stabilization and function. Using a vasculature‐on‐chip system, this study reveals how physiological VEGF levels and flow affect vascular remodeling and provides insights into tumor vessel normalization.
Fatemeh Mirzapour‐Shafiyi, Elias Huber, Leonie Karr, Johnny Tong, Andreas Richard Bausch, Friedrich Christian Simmel, Karen Alim   +6 more
wiley   +1 more source

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

Advanced Functional Materials, EarlyView.
Herein, a comprehensive framework that enabled the optimization of colloidal solubility within a high‐dimensional parameter space and study of reversible assembly processes is developed. This data‐driven workflow integrated innovations including the robotic platform for automated AuNPs functionalization, machine learning for predicting and revealing ...
Yueyang Gao, Niamh Mac Fhionnlaoich, Max Besenhard, Arun Pankajakshan, Federico Galvanin, Stefan Guldin   +5 more
wiley   +1 more source