Results 171 to 180 of about 680,702 (313)

Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens

FEBS Open Bio, EarlyView.
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee, Giulia Zanetti, Bram van den Broek, Kees Jalink   +3 more
wiley   +1 more source

Efficacy and parameter selection of transcranial alternating current stimulation in sleep regulation. [PDF]

Chin Med J (Engl)
Sun R, Xie Y, Tian X, Hu Y, Li H, Li Y, Chen Y, Guo Z, Li S, Wang Y.   +9 more
europepmc   +1 more source

A Reinforcement Learning Based Transmission Parameter Selection and Energy Management for Long Range Internet of Things. [PDF]

Sensors (Basel), 2022
Yazid Y, Guerrero-González A, Ez-Zazi I, El Oualkadi A, Arioua M.   +4 more
europepmc   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

A computer intensive method for choosing the ridge parameter [PDF]

In this paper we describe a computer intensive method to find the ridge parameter in a prediction oriented linear model. With the help of a factorial experimental design the method is tested and compared to a classical one.
Weihs, Claus, Czogiel, Irina, Lübke, Karsten   +2 more
core  

Classification and Parameter Selection for Damage Characterization in CFRP Composite Materials Using Acoustic Emission and Multivariate Statistics. [PDF]

Materials (Basel)
Amoateng-Mensah D, Amevorku RD, Dhar P, Minhaj TB, Sundaresan MJ.   +4 more
europepmc   +1 more source

Early‐life high‐fat diet exposure increases Achilles tendon stiffness and induces transcriptomic alterations

FEBS Open Bio, EarlyView.
Early‐life exposure to a high‐fat diet altered intact Achilles tendons in rat offspring, making them thinner, stiffer, and molecularly distinct even without injury. These findings suggest that developmental high‐fat diet exposure may impair tendon quality and increase susceptibility to mechanical overload or tendon injury later in life.
Heyong Yin, Ziyang Yuan, Wenli Jiang, Ai Guo   +3 more
wiley   +1 more source

A Generalized Parametric Selection Model for Non-Normal Data [PDF]

I develop a new approach for sample selection problems that allows parametric forms of any type to be chosen for both for the selection and the observed variables.
James E. Prieger
core  

A progressive fine-tuning framework with dynamic parameter selection for low-resource peptide-GPCR interaction prediction. [PDF]

Brief Bioinform
Liu M, Xu J, Liu J.
europepmc   +1 more source

Multi-dimensional variables and feature parameter selection for aboveground biomass estimation of potato based on UAV multispectral imagery. [PDF]

Front Plant Sci, 2022
Luo S, Jiang X, He Y, Li J, Jiao W, Zhang S, Xu F, Han Z, Sun J, Yang J, Wang X, Ma X, Lin Z.   +12 more
europepmc   +1 more source