Results 141 to 150 of about 3,365,292 (319)

An Algorithm to Remove Fringe Jumps and its Application to Microwave Reflectometry [PDF]

open access: yes, 1997
"In some plasma discharges, the phase measured by microwave reflectometry has many fringe (2 pi rad.) jumps. A new algorithm to detect and remove fringe jumps has been developed, and applied to the data in the JIPP TII-U tokamak.
Shinohara, K.   +2 more
core  

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

open access: yesFEBS 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   +3 more
wiley   +1 more source

Value chain optimization in large scale gas network considering elevation and transmission direction

open access: yesScientific Reports
A large Chinese energy company operates the largest gas pipe network in China, spanning some 40 thousand kilometres of pipelines and encompassing 119 compressor stations across 650 cities. The company determines the quantity of gas purchased or extracted
Xifeng Ning, Jinfeng Qiu, Dejun Yu
doaj   +1 more source

A yeast model of 5‐oxoproline accumulation reveals a general toleration to 5‐oxoproline

open access: yesFEBS Open Bio, EarlyView.
Using a yeast model, we show that even high accumulation of 5‐oxoproline causes only mild cellular stress and does not trigger oxidative stress. Instead, cells adapt by activating efflux pumps and diverse protective pathways, suggesting that previously proposed harmful effects of 5‐oxoproline may arise from indirect metabolic imbalances rather than the
Pratiksha Dubey   +4 more
wiley   +1 more source

An interpolatory subdivision algorithm for surfaces over arbitrary triangulations [PDF]

open access: yes, 1992
In this paper, an interpolatory subdivision algorithm for surfaces over ar-bitrary triangulations is introduced and its convergence properties over nonuni-form triangulations studied.
Qu, R
core  

Algorithmic Luckiness

open access: yes, 2002
Summary: Classical statistical learning theory studies the generalisation performance of machine learning algorithms rather indirectly. One of the main detours is that algorithms are studied in terms of the hypothesis class that they draw their hypotheses from. In this paper, motivated by the luckiness framework of Shawe-Taylor et al.
Herbrich, Ralf, Williamson, Robert
openaire   +4 more sources

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

open access: yesFEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour   +2 more
wiley   +1 more source

High Frequency Component Compensation based Super-resolution [PDF]

open access: yes, 2004
This paper proposes a video-based super-resolution algorithm by high-frequency component compensation. Normalized logarithm distance (NLD) minimization on local shape feature is proposed for image registration.
Algorithm For Face
core  

Molecular characterization of covRS mutations in M1UK Streptococcus pyogenes

open access: yesFEBS Open Bio, EarlyView.
Group A Streptococcus (GAS) acquires covRS mutations driving a hypervirulent bacterial state, frequently associated with invasive disease‐like necrotizing fasciitis. We demonstrate that the newly emerged M1UK GAS lineage can also acquire these mutations.
Jarrad Pritchard   +12 more
wiley   +1 more source

An elastic net orthogonal forward regression algorithm [PDF]

open access: yes, 2012
In this paper we propose an efficient two-level model identification method for a large class of linear-in-the-parameters models from the observational data. A new elastic net orthogonal forward regression (ENOFR) algorithm is employed at the lower level
Hong, Xia, Chen, Sheng, Chen, S
core  

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