Results 101 to 110 of about 10,283,828 (367)

Regression-aware decompositions

, 2018
Linear least-squares regression with a "design" matrix A approximates a given matrix B via minimization of the spectral- or Frobenius-norm discrepancy ||AX-B|| over every conformingly sized matrix X.
Tygert, Mark
core  

ATG4B is required for mTORC1‐mediated anabolic activity and is associated with clinical outcomes in non‐small cell lung cancer

FEBS Open Bio, EarlyView.
The relationship between anabolic and catabolic processes governing lung cancer cell growth is nuanced. We show that ATG4B, an autophagy regulator, is elevated in lung cancer and that high ATG4B is associated with worse patient outcomes. Targeting ATG4B in cells reduces growth, protein synthesis, and mTORC1 activity, demonstrating a new relationship ...
Patrick J. Ryan, Bethany C. Guerra, Selina Uranga, Jessica M. Cardin, Steven E. Riechman, Mariana Janini Gomes, James D. Fluckey   +6 more
wiley   +1 more source

Rank Regression

The Annals of Statistics, 1988
An estimation procedure for (b,g) is developed for the transformation model \(g(Y)=bz+error\), where g is an unspecified strictly increasing function. The estimator for b can be viewed as a hybrid between an M- estimator and an R-estimator. It differs from an M-estimator in that the dependent variable is replaced by a score based on ranks and from an R-
openaire   +3 more sources

Dietary nitrate and nitrite protect against doxorubicin‐induced cardiac fibrosis and oxidative protein damage in tumor‐bearing mice

FEBS Open Bio, EarlyView.
Chemotherapies such as doxorubicin can have toxic effects on healthy cardiovascular/heart tissue. Following up on a doxorubicin toxicity study in mice without tumors where nitrate water was cardioprotective (lessened toxicity), this study with tumor‐bearing mice undergoing doxorubicin treatment showed no negative effect of nitrate and nitrite on drug ...
Rama D. Yammani, Xiaofei Chen, Nildris Cruz‐Diaz, Xuewei Zhu, Swati Basu, Daniel B. Kim‐Shapiro, David R. Soto‐Pantoja, Leslie B. Poole   +7 more
wiley   +1 more source

The Heterogeneous Effect of Economic Complexity and Export Quality on the Ecological Footprint: A Two-Step Club Convergence and Panel Quantile Regression Approach [PDF]

, 2022
Emad Kazemzadeh, José Alberto Fuinhas, Matheus Koengkan, Fariba Osmani   +3 more
openalex   +1 more source

DDX3X induces mesenchymal transition of endothelial cells by disrupting BMPR2 signaling

FEBS Open Bio, EarlyView.
Elevated DDX3X expression led to downregulation of BMPR2, a key regulator of endothelial homeostasis and function. Our co‐immunoprecipitation assays further demonstrated a molecular interaction between DDX3X and BMPR2. Notably, DDX3X promoted lysosomal degradation of BMPR2, thereby impairing its downstream signaling and facilitating endothelial‐to ...
Yu Zhang, Jing Wang, De‐Hui Qian, Yang‐Fan Lv, Tian‐Le Cheng, Da‐Peng Wang, Jing Zhang, Ye Fan   +7 more
wiley   +1 more source

MODELING HYPERTENSION DISEASE RISK IN INDONESIA USING MULTIVARIATE ADAPTIVE REGRESSION SPLINE AND BINARY LOGISTIC REGRESSION APPROACHES

Barekeng
In the pursuit of the Sustainable Development Goals (SDGs), health-related challenges, especially hypertension, remain a significant global issue. The third goal of the SDGs aims to improve the quality of life and well-being of all individuals, but ...
Nur Chamidah, Ardana Tegar Hendrawan, Figo Surya Ardiyanto, Martha Sayyida Hammami, Nurul Izzah, Salsabila Niken Hariadi   +5 more
doaj   +1 more source

TMC4 localizes to multiple taste cell types in the mouse taste papillae

FEBS Open Bio, EarlyView.
Transmembrane channel‐like 4 (TMC4), a voltage‐dependent chloride channel, plays a critical role in amiloride‐insensitive salty taste transduction. TMC4 is broadly expressed in all mature taste cell types, suggesting a possible involvement of multiple cell types in this pathway.
Momo Murata, Yoshikazu Saito, Yoichi Kasahara, Wataru Fujii, Takumi Misaka, Tomiko Asakura, Masataka Narukawa   +6 more
wiley   +1 more source

Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study

Computer Assisted Surgery
This study evaluates the performance of deep learning models in the prediction of the end time of procedures performed in the cardiac catheterization laboratory (cath lab).
Emanuele Frassini, Teddy S. Vijfvinkel, Rick M. Butler, Maarten van der Elst, Benno H. W. Hendriks, John J. van den Dobbelsteen   +5 more
doaj   +1 more source

Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction [PDF]

, 2019
George Kopsiaftis, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Aristotelis Mantoglou   +4 more
openalex   +1 more source