Results 61 to 70 of about 25,397 (329)

Structure Formation in Butterfly Scales: Interplay of Genetic Control, Mechanical Instabilities, and Dynamic Material Properties

Advanced Functional Materials, EarlyView.
Butterfly wing scales are intricate cuticular functional nanosctructures. This perspective suggests that spatially varying material properties, cytoskeletal constraints, and growth‐driven mechanical instabilities shape the resulting nanoscale architectures created from single cells.
Anupama Prakash, Victoria Lloyd, Yi Yang, Anna‐Lee Jessop, Anthony McDougal, Primož Pirih, Guillaume Duclos, Andrew Parnell, Mathias Kolle, Nicola J. Nadeau, Bodo D. Wilts   +10 more
wiley   +1 more source

Optoelectronic Control of Redox Dynamics in POM Memristors for Noise‐Resilient Speech and Hardware‐Level Motion Recognition

Advanced Functional Materials, EarlyView.
Optoelectronic control of redox‐active polyoxometalate clusters in polymer matrices yields hybrid memristors with switchable volatile and non‐volatile modes, enabling reservoir‐type in‐sensor optical preprocessing and stable multilevel synapses for multimodal neuromorphic computing, including noise‐tolerant audiovisual keyword recognition and hardware ...
Xiangyu Ma, Ziyu Lv, Guohua Zhang, Zhongyue Xu, Yongbiao Zhai, Haiming Huang, Qiyan Zhang, Xiaojin Zhao, Yan Wang, Ye Zhou, Ziyu Xiong, Guanglong Ding, Wentao Xu, Su‐Ting Han   +13 more
wiley   +1 more source

KINERJA JACKKNIFE RIDGE REGRESSION DALAM MENGATASI MULTIKOLINEARITAS

E-Jurnal Matematika, 2014
Ordinary least square is a parameter estimations for minimizing residual sum of squares. If the multicollinearity was found in the data, unbias estimator with minimum variance could not be reached.
HANY DEVITA, I KOMANG GDE SUKARSA, I PUTU EKA N. KENCANA   +2 more
doaj   +1 more source

New Robust Estimators for Handling Multicollinearity and Outliers in the Poisson Model: Methods, Simulation and Applications

Axioms, 2022
The Poisson maximum likelihood (PML) is used to estimate the coefficients of the Poisson regression model (PRM). Since the resulting estimators are sensitive to outliers, different studies have provided robust Poisson regression estimators to alleviate ...
Issam Dawoud, Fuad A. Awwad, Elsayed Tag Eldin, Mohamed R. Abonazel   +3 more
doaj   +1 more source

Thermo‐Fluorescent Bactericidal Quantum Dots Based Smart Multifunctional Textiles via Molecular Surface Engineering and 3D‐Printed Interlocked Architectures

Advanced Healthcare Materials, EarlyView.
A versatile approach is presented for fabricating smart multifunctional textiles by integrating thermo‐fluorescent carbon dot/polymer nanocomposite coatings with 3D‐printed interlocked architectures. The fabrics exhibit temperature‐responsive fluorescence, durable hydrophobicity, strong antibacterial and antioxidant activity, and enhanced UV protection.
Poushali Das, Sayan Ganguly, Parham Khoshbakht Marvi, Misha Muthalali, Fatemeh Parniani, Shiza Hassan, Xiaowu (Shirley) Tang, Seshasai Srinivasan, Amin Reza Rajabzadeh   +8 more
wiley   +1 more source

Special ridge-type estimator: Simulation and application to chemical data

AIP Advances
This study delves into regularization techniques, such as ridge regression, Liu estimator, and Kibria–Lukman estimator, as alternatives to the maximum likelihood method for addressing multicollinearity in beta regression models.
Rasha A. Farghali, Adewale F. Lukman, Haadi Abdul-Rahaman, Zakariya Yahya Algamal, Samah M. Abo-El-Hadid   +4 more
doaj   +1 more source

3D‐Printable, Honeycomb‐Inspired Tissue‐Like Bioelectrodes for Patient‐Specific Neural Interface

Advanced Materials, EarlyView.
3D printed MRI‐compatible tissue‐like neural electrodes tailored to individual gyral patterns. This honeycomb‐inspired printable gel electrode (HiPGE) employs a bioinspired architecture with soft hydrogels, engineered to match the softness of brain tissue.
Marzia Momin, Luyi Feng, Xiaoai Chen, Salahuddin Ahmed, Basma AlMahmood, Li‐Pang Huang, Jiashu Ren, Xinyi Wang, Hyunjin Lee, Samuel R. Cramer, Nanyin Zhang, Sulin Zhang, Tao Zhou   +12 more
wiley   +1 more source

Comparing Classes of Estimators: When does Gradient Descent Beat Ridge\n Regression in Linear Models? [PDF]

, 2021
Dominic Richards, Edgar Dobriban, Patrick Rebeschini   +2 more
openalex   +2 more sources

A New Type Iterative Ridge Estimator: Applications and Performance Evaluations

Journal of Mathematics, 2022
The usage of the ridge estimators is very common in presence of multicollinearity in multiple linear regression models. The ridge estimators are used as an alternative to ordinary least squares in case of multicollinearity as they have lower mean square ...
Aydın Karakoca
doaj   +1 more source

Risk Convergence of Centered Kernel Ridge Regression with Large Dimensional Data

, 2019
This paper carries out a large dimensional analysis of a variation of kernel ridge regression that we call \emph{centered kernel ridge regression} (CKRR), also known in the literature as kernel ridge regression with offset.
Al-Naffouri, Tareq, Alouini, Mohamed-Slim, Elkhalil, Khalil, Kammoun, Abla, Zhang, Xiangliang   +4 more
core   +1 more source