Results 51 to 60 of about 4,927,965 (236)

hUC-MSC preserves erectile function by restoring mitochondrial mass of penile smooth muscle cells in a rat model of cavernous nerve injury via SIRT1/PGC-1a/TFAM signaling

Biological Research
Cavernous nerve injury-induced erectile dysfunction (CNI-ED) is a common complication following radical prostatectomy and severely affects patients’ quality of life. The mitochondrial impairment in corpus cavernosum smooth muscle cells (CCSMCs) may be an
Mengbo Yang, Xinda Chen, Ming Zhang, Xiaolin Zhang, Dongdong Xiao, Huiming Xu, Mujun Lu   +6 more
semanticscholar   +1 more source

Functional Quasi-Likelihood Regression Models with Smooth Random Effects

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2003
SummaryWe propose a class of semiparametric functional regression models to describe the influence of vector-valued covariates on a sample of response curves. Each observed curve is viewed as the realization of a random process, composed of an overall mean function and random components. The finite dimensional covariates influence the random components
Chiou, Jeng-Min, Müller, Hans-Georg, Wang, Jane-Ling   +2 more
openaire   +2 more sources

Development and Application of a Functional Human Esophageal Mucosa Explant Platform to Eosinophilic Esophagitis. [PDF]

, 2019
There is an increasing prevalence of esophageal diseases but intact human tissue platforms to study esophageal function, disease mechanisms, and the interactions between cell types in situ are lacking.
Aceves, Seema S, Adejumobi, Dolapo, Akuthota, Praveen, Dohil, Ranjan, Duong, Loan D, Jones, Stacie M, Kurten, Richard C, Levy, Rebecca, Newbury, Robert O, Rawson, Renee, Rothenberg, Marc E, Shoda, Tetsuo, Wright, Benjamin L   +12 more
core   +3 more sources

Estimation of smooth regression functions in monotone response models [PDF]

Journal of Statistical Planning and Inference, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pal, Jayanta Kumar, Banerjee, Moulinath
openaire   +2 more sources

A novel scheme for simulating the effect of microstructure surface roughness on the heat transfer characteristics of subcooled flow boiling

Case Studies in Thermal Engineering, 2021
In this study, the RPI wall boiling model is developed to investigate the surface roughness effect in the subcooled flow boiling. The surface roughness is simulated by two different schemes.
Hasan Alimoradi, Mehrzad Shams, Nasser Ashgriz, Ali Bozorgnezhad   +3 more
doaj   +1 more source

Experiments of drops impacting a smooth solid surface: a model of the critical impact speed for drop splashing.

Physical Review Letters, 2014
Making use of experimental and theoretical considerations, in this Letter we deduce a criterion to determine the critical velocity for which a drop impacting a smooth dry surface either spreads over the substrate or disintegrates into smaller droplets ...
G. Riboux, J. Gordillo
semanticscholar   +1 more source

The role of mechano-regulated YAP/TAZ in erectile dysfunction

Nature Communications, 2023
Phosphodiesterase type 5 inhibitors (PDE5is) constitute the primary therapeutic option for treating erectile dysfunction (ED). Nevertheless, a substantial proportion of patients, approximately 30%, do not respond to PDE5i treatment.
Mintao Ji, Dongsheng Chen, Yinyin Shu, Shuai Dong, Zhisen Zhang, Haimeng Zheng, Xiaoni Jin, Lijun Zheng, Yang Liu, Yifei Zheng, Wensheng Zhang, Shiyou Wang, Guangming Zhou, Bingyan Li, Baohua Ji, Yong Yang, Yongde Xu, Lei Chang   +17 more
doaj   +1 more source

Neural-net-induced Gaussian process regression for function approximation and PDE solution [PDF]

Journal of Computational Physics, 2018
Neural-net-induced Gaussian process (NNGP) regression inherits both the high expressivity of deep neural networks (deep NNs) as well as the uncertainty quantification property of Gaussian processes (GPs). We generalize the current NNGP to first include a
G. Pang, Liu Yang, G. Karniadakis
semanticscholar   +1 more source

A Novel Twin-Bounded Support Vector Machine with Smooth Generalized Pinball Loss

Mathematics
We present a one-parameter family of smooth generalized pinball loss functions to overcome the challenges of non-differentiability, noise sensitivity, and resampling instability inherent in traditional loss functions such as hinge loss.
Patcharapa Srichok, Panu Yimmuang, Eckart Schulz   +2 more
doaj   +1 more source

Resonances and Weighted Zeta Functions for Obstacle Scattering via Smooth Models

Annales Henri Poincaré, 2023
AbstractWe consider a geodesic billiard system consisting of a complete Riemannian manifold and an obstacle submanifold with boundary at which the trajectories of the geodesic flow experience specular reflections. We show that if the geodesic billiard system is hyperbolic on its trapped set and the latter is compact and non-grazing, the techniques for ...
Benjamin Delarue, Philipp Schütte, Tobias Weich   +2 more
openaire   +2 more sources