Results 101 to 110 of about 177,424 (286)

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

Bootstrap-quantile ridge estimator for linear regression with applications

PLoS ONE
Bootstrap is a simple, yet powerful method of estimation based on the concept of random sampling with replacement. The ridge regression using a biasing parameter has become a viable alternative to the ordinary least square regression model for the ...
Irum Sajjad Dar, Sohail Chand
doaj   +2 more sources

Utilizing Cooperative Proton–Electron Mixed Conduction Induced via Chemical Dedoping of Self‐Doped Poly(3,4‐ethylenedioxythiophene) Nanofilms for In‐Material Physical Reservoirs

Advanced Science, EarlyView.
This study demonstrates a new concept for high‐performance in‐material physical reservoirs (PRs). An intrinsic and cooperative ion–electron state, induced by chemical dedoping in self‐doped poly(3,4‐ethylenedioxythiophene) (S‐PEDOT) nanofilms, enhances the performance of in‐material PRs.
Yuya Ishizaki‐Betchaku, Motoaki Onishi, Tomoki Misaka, Mitsuo Hara, Hirokazu Yano, Hidenori Okuzaki, Jun Matsui, Tsuyoshi Hasegawa, Takuya Matsumoto, Hirofumi Tanaka, Shusaku Nagano   +10 more
wiley   +1 more source

The Distribution of Stochastic Shrinkage Parameters in Ridge Regression [PDF]

In this article we derive the density and distribution functions of the stochastic shrinkage parameters of three well-known operational Ridge Regression estimators by assuming normality. The stochastic behavior of these parameters is likely to affect the
Hernán Rubio, Luis Firinguetti
core  

PROTAC‑Mediated HMGCR Depletion Reprograms Lipid Metabolism in Breast Cancer to Potentiate Photoimmunotherapy via Ferroptosis

Advanced Science, EarlyView.
This work introduces a study that identifies HMGCR as a novel target in TNBC and develops a light‐gated PROTAC nanomedicine. Upon irradiation, this agent selectively degrades HMGCR, reprogramming lipid metabolism to induce ferroptosis and potent antitumor immunity, thereby significantly enhancing photoimmunotherapy efficacy.
Tong Su, Guang Li, Yudong Guan, Qi Tian, Youzhi Qi, Yanqiu Zhang, Wenqian Wei, Xinxin Duan, Jiaxin Rui, Hongyan Zhu, Zengping Lin, Changchuan Xie, Zheni Xu, Yaying Wu, Xin Peng, Zhenjie Wang, Kun Chen, Xiaoyan Xin, Bing Zhang   +18 more
wiley   +1 more source

Pearl‐Like Bioinspired Coating Enables Regulation of Mg Degradation for Osteoporotic Bone Repair

Advanced Science, EarlyView.
In this study, inspired by pearl architecture, we developed a layered Ca–P “brick” and Fn‐mimetic peptide “mortar” coating on Mg alloys. The Ca–P layer moderates corrosion and offers mineral cues, while the peptide enhances adhesion and regulates immune‐vascular responses.
Siming Zhang, Tao Zhang, Yuan Chen, Nikolaos Kourkoumelis, Mo Chen, Jiale Dong, Zhenyu Li, Yanling Zhou, Ning Li, Chen Zhu, Xifu Shang, Jiaxiang Bai, Xianzuo Zhang   +12 more
wiley   +1 more source

Development of the generalized ridge estimator for the Poisson-Inverse Gaussian regression model with multicollinearity

Scientific Reports
The Poisson-Inverse Gaussian regression model is a widely used method for analyzing count data, particularly in over-dispersion. However, the reliability of parameter estimates obtained through maximum likelihood estimation in this model can be ...
Fatimah A. Almulhim, Ali T. Hammad, M. E. Bakr, Oluwafemi Samson Balogun, Alexis Habineza, M. M. Abd El-Raouf   +5 more
doaj   +1 more source

PENERAPAN METODE GENERALIZED RIDGE REGRESSION DALAM MENGATASI MASALAH MULTIKOLINEARITAS

E-Jurnal Matematika, 2013
Ordinary least square is parameter estimation method for linier regression analysis by minimizing residual sum of square. In the presence of multicollinearity, estimators which are unbiased and have a minimum variance can not be generated ...
NI KETUT TRI UTAMI, I KOMANG GDE SUKARSA
doaj   +1 more source

Modified Ridge Parameters for Seemingly Unrelated Regression Model [PDF]

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.
Kibria, B. M. Golam, Shukur , Ghazi, Zeebari , Zangin   +2 more
core   +1 more source

Pacinian Corpuscle‐Inspired Strain Conversion Enables Ultrasensitive, Linear, and Broad‐Range Piezoelectric Sensing for Cardiovascular Health Monitoring

Advanced Science, EarlyView.
A bioinspired piezoelectric sensor mimicking Pacinian corpuscles is developed to enable ultrasensitive and linear pressure sensing. A multilayer grooved architecture converts normal pressure into in‐plane strain, delivering high sensitivity, wide linear range, and efficient energy harvesting, enabling high‐fidelity wrist pulse monitoring and ...
Qi Yang, Zhongqian Song, Shengjie Liu, Yingming Ma, Weiyan Li, Huijun Kong, Cuiyu Liu, Yu Bao, Li Niu   +8 more
wiley   +1 more source