Results 101 to 110 of about 3,051,269 (303)

A Contribution to Condition Numbers of Quaternion Least Squares Problems

Indian Journal of Pure and Applied Mathematics
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Qiaohua, Yu, Yuejuan, Wei, Yimin
openaire   +1 more source

Linear least squares estimation of the first order moving average parameter [PDF]

We propose an iterative procedure to minimize the sum of squares function which avoids the nonlinear nature of estimating the rst order moving average parameter and provides a closed form of the estimator.
Emili Valdero Mora
core  

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

Advanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang, Huadong Xing, Antonella Di Pizio, Qinfei Ke, Xingran Kou, Dachuan Zhang   +5 more
wiley   +1 more source

On condition numbers for least squares with quadric inequality constraint

Computers & Mathematics with Applications, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Estimation and inference in unstable nonlinear least squares models [PDF]

In this paper, we extend Bai and Perron's (1998, Econometrica, pp. 47-78) method for detecting multiple breaks to nonlinear models. To that end, we consider a nonlinear model that can be estimated via nonlinear least squares (NLS) and features a limited ...
Hall, Alastair R., Boldea, Otilia
core  

A Gut‐Brain Axis Underlying Succinate‐Associated Compulsive‐Like Behavior

Advanced Science, EarlyView.
Gut‐derived succinate is associated with an excitatory‐inhibitory imbalance in dmPFC glutamatergic neurons, involving microglial SUCNR1 activation and vagal afferent signaling via upregulated gut 5‐HT4 receptors along the DVC‐CeA‐dmPFC circuit, changes that are linked to excessive compulsive‐like behavior.
Yi Li, Ying‐Dan Zhang, Wei Wang, Xin‐Yi Wu, Di Li, Xin Gong, Fei Tian, Meng‐Yu Dai, Jian Gao, Zi‐Feng Zheng, Zi‐Yang Bi, Dong‐Dong Shi, Zhen Wang   +12 more
wiley   +1 more source

Tracking CDK1 Dynamics With a Novel Biosensor Mouse and Clinical Cohorts to Predict CDK4/6 Inhibitor Sensitivity in ER+ Breast Cancer

Advanced Science, EarlyView.
Cyclin‐dependent kinase (CDK) 1 activity is a dynamic marker of treatment response in estrogen receptor positive breast cancer. Patient cohorts reveal CDK1 activity increases during progression to invasive disease, where high expression correlates with poor survival. Using a novel Cdk1 biosensor mouse alongside in vitro models, we demonstrate that CDK1
Sarah Alexandrou, Kristine J. Fernandez, Min Li Huang, Ewan K. A. Millar, Claire Vennin, Leila Eshraghi, Tan Dat Timothy Lam, Victoria Lee, Nyah C. Brooks, Janett Stoehr, Cristian Guaman Mendez, Douglas Strathdee, David Stevenson, David Herrmann, Sandra O'Toole, Paul Timpson, Max Nobis, C. Elizabeth Caldon   +17 more
wiley   +1 more source

Cannabinoid CB1 Receptor in Nociceptors Mediates Postoperative Analgesia via ASIC3 Inhibition

Advanced Science, EarlyView.
CB1R and ASIC3 are co‐expressed in CGRP+ nociceptors of mouse DRG. Plantar incision triggers an upregulation of ASIC3 and activation of ASIC3+ neurons, driving mechanical allodynia. CB1R activation suppresses ASIC3 function and downstream ERK1/2 phosphorylation, thereby braking nociceptive signaling and accelerating pain resolution.
Kangtai Xu, Luyao Ji, Haoyi Yang, Xiying Chen, Qiaodan Hu, Haimei He, Jiawei Wu, Leyan Shan, Shihui Feng, Yingzhi Li, Xiongchang Tan, Hao Wang, Zilong Wang, Chaoran Wu   +13 more
wiley   +1 more source

Consistency of the structured total least squares estimator in a multivariate errors-in-variables model

, 2005
The structured total least squares estimator, defined via a constrained optimization problem, is a generalization of the total least squares estimator when the data matrix and the applied correction satisfy given structural constraints.
Van Huffel, S., Kukush, A., Markovsky, I.   +2 more
core   +1 more source

A new class of Lindley distribution: System reliability, simulation and applications

Heliyon
This paper presents a new probability distribution called the DUS Lindley distribution, created by applying the DUS transformation to the traditional Lindley distribution.
Danish Qayoom, Aafaq A. Rather, Najwan Alsadat, Eslam Hussam, Ahmed M. Gemeay   +4 more
doaj   +1 more source