Results 101 to 110 of about 1,043 (255)

Cooptimized Sensing and Sole Mechanics Enable Embodied‐Intelligence Design of User‐Specific Smart Footwear

open access: yesAdvanced Intelligent Systems, EarlyView.
An embodied codesign framework for smart footwear is presented, jointly tuning lattice mechanics and sensing for personalized plantar pressure monitoring. By integrating pneumatic sensing within 3D‐printed lattice soles, the system achieves accurate real‐time centre‐of‐pressure tracking with reduced sensor count and energy demand, demonstrating how ...
Fengyu Zhong   +3 more
wiley   +1 more source

Modified Ridge Parameters for Seemingly Unrelated Regression Model

open access: yes
In this paper, we modify a number of new biased estimators of seemingly unrelated regression (SUR) parameters which are developed by Alkhamisi and Shukur (2008), AS, when the explanatory variables are affected by multicollinearity.
Shukur , Ghazi   +2 more
core  

SOME NEW ADJUSTED RIDGE ESTIMATORS OF LINEAR REGRESSION MODEL [PDF]

open access: yes
The ridge estimator for handling multicollinearity problem in linear regression model requires the use the biasing parameter. In this paper, some new adjusted ridge parameters which do not require the biasing parameter are proposed.
Lukman, A. F.   +3 more
core  

High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State

open access: yesAmerican Journal of Botany, EarlyView.
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording   +4 more
wiley   +1 more source

Assessment of Growth in Cardio‐Facio‐Cutaneous Syndrome

open access: yesAmerican Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Cardio‐facio‐cutaneous (CFC) syndrome is a rare, multiple congenital anomaly disorder in which individuals commonly experience faltering growth; however, systematic analysis of growth parameters in this disorder has not been performed. We recruited 69 participants with CFC through CFC International and collected data on assessing height ...
Kari Johnston   +6 more
wiley   +1 more source

Robust Kibria Estimators for Mitigating Multicollinearity and Outliers in a Linear Regression Model

open access: yesStats
In the presence of multicollinearity, the ordinary least squares (OLS) estimators, aside from BLUE (best linear unbiased estimator), lose efficiency and fail to achieve minimum variance.
Hina Naz   +3 more
doaj   +1 more source

Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease

open access: yesAnnals of Neurology, EarlyView.
Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova   +27 more
wiley   +1 more source

Enhanced ridge estimators to effectively address multicollinearity challenges

open access: yesAIP Advances
In this study, we introduce three new ridge estimators, referred to as AIRE1, AIRE2, and AIRE3, designed to effectively address the issue of multicollinearity in regression analysis.
Nadeem Akhtar, Muteb Faraj Alharthi
doaj   +1 more source

Quantitative assessment of masticatory muscles based on skull muscle attachment areas in Carnivora

open access: yesThe Anatomical Record, EarlyView.
Abstract Masticatory muscles are composed of the temporalis, masseter, and pterygoid muscles in mammals. Each muscle has a different origin on the skull and insertion on the mandible; thus, all masticatory muscles contract in different directions. Collecting in vivo data and directly measuring the masticatory muscles anatomically in various Carnivora ...
Kai Ito   +4 more
wiley   +1 more source

Modified Two-Parameter Ridge Estimators for Enhanced Regression Performance in the Presence of Multicollinearity: Simulations and Medical Data Applications

open access: yesAxioms
Predictive regression models often face a common challenge known as multicollinearity. This phenomenon can distort the results, causing models to overfit and produce unreliable coefficient estimates.
Muteb Faraj Alharthi, Nadeem Akhtar
doaj   +1 more source

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