Results 101 to 110 of about 178,006 (285)

Bioenergy Cropping Reduces the Spatiotemporal Scaling of Soil Bacterial Biodiversity

Advanced Science, EarlyView.
Consistent with patterns observed in plant and animal communities, soil bacterial communities exhibit significant species–time–area and phylogenetic–time–area relationships independent of nested structure. Bioenergy cropping significantly reduces the spatiotemporal scaling rates, particularly in sandy loam soils.
Zhencheng Ye, Jialiang Kuang, Colin T. Bates, Arthur Escalas, Daliang Ning, Liyou Wu, Suo Liu, Sihang Deng, Jiesi Lei, Xiangwen Chen, Jennifer Pett‐Ridge, Malay Saha, Lauren Hale, Gangsheng Wang, Renmao Tian, Ying Fu, Yu Tang, Mary Firestone, Jizhong Zhou, Yunfeng Yang   +19 more
wiley   +1 more source

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

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  

Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent [PDF]

, 2014
We propose a new two stage algorithm LING for large scale regression problems. LING has the same risk as the well known Ridge Regression under the fixed design setting and can be computed much faster. Our experiments have shown that LING performs well in
Foster, Dean P., Lu, Yichao
core  

Research on the prediction algorithm of tread wear for locomotive wheels based on GA-ridge regression analysis

机车电传动, 2023
Wheel tread wear is an important parameter to evaluate the operational safety of locomotives, yet timely and accurate monitoring is often lacking at wheel operation and maintenance sites.
FANG Xin, LIU Tong, CHENG Yaping, SUN Yuduo, WANG Feier   +4 more
doaj  

Pan‐3D Genome Analysis Reveals the Roles of Structural Variation in Chicken Chromatin Architectures, Domestication and Production Traits

Advanced Science, EarlyView.
This study firstly presents a comprehensive and high‐resolution pan‐3D genome resource in chicken. Our findings reveal the role of structural variations in 3D genome architectures, and how they influence the domestication process and production traits at the 3D genome level.
Zhen Zhou, Danfeng Cai, Changbin Zhao, Siyu Zhang, Jiahao Li, Zhaofeng Zhang, Shaofen Kong, Xin Yang, Xiaoli Zhou, Farhad Bordbar, Fayi Chen, Yaohuan Xu, Zhe Zhang, Lihong Gu, Zhenhui Li, Xiquan Zhang, Wen Luo, Jingting Shu, Bolin Cai, Qinghua Nie   +19 more
wiley   +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

Bifunctional Artificial Enzymes‐Loaded Microgels With LOX‐ and CAT‐Like Activities for Metabolic Reprogramming and Scarless Wound Repair

Advanced Science, EarlyView.
A bifunctional lactate oxidase‐like and catalase‐like artificial enzyme (Metazyme) is integrated into a rod‐shaped microgel (MetaRgel) to enable cascade lactate oxidation and oxygen regeneration. By reprogramming the wound metabolic microenvironment, MetaRgel alleviates excessive lactate accumulation, oxidative stress, hypoxia, and inflammation ...
Yongyuan Kang, Pai Peng, Liang Song, Qiaoxuan Wang, Zilong Zhong, Dongchao Qiu, Yunfan Liu, Kefei Zhao, Xiaofei Dong, Changyou Gao   +9 more
wiley   +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

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