Results 61 to 70 of about 232,265 (304)

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

On improving the robustness and reliability of Rao's score test [PDF]

open access: yes, 2001
The results of misspecification tests, based on Rao's score principle, are now routinely reported in applied econometric work. This paper draws together some important recent results which are designed to improve: (a) the robustness of standard score ...
Orme, C. D.   +3 more
core   +1 more source

Robustness and Efficiency Considerations When Testing Process Reliability with a Limit of Detection

open access: yesMathematics
Processes in biotechnology are considered reliable if they produce samples satisfying regulatory benchmarks. For example, laboratories may be required to show that levels of an undesirable analyte rarely (e.g., in less than 5% of samples) exceed a ...
Laura S. Bumbulis, Richard J. Cook
doaj   +1 more source

GPS baseline configuration design based on robustness analysis

open access: yesJournal of Geodetic Science, 2012
The robustness analysis results obtained from a Global Positioning System (GPS) network are dramatically influenced by the configurationof the observed baselines. The selection of optimal GPS baselines may allow for a cost effective survey campaign and a
Yetkin M., Berber M.
doaj   +1 more source

Robust control plane scheme in SDVN toward targeted attack

open access: yesDianzi Jishu Yingyong, 2022
Applying software-defined networking to the Internet of Vehicles can significantly improve its performance. However, this method also faces security issues that traditional SDN has to deal with.
Mao Ming, Yi Peng, Zhang Zhen, Ma Yun
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

open access: yesFEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj   +3 more
wiley   +1 more source

Smart offshore structure for reliability prediction process [PDF]

open access: yes, 2013
A review of the developments within the field of structural reliability theory shows that some gaps still exist in the reliability prediction process and hence there is an urgent desire for improvements such that the estimated structural reliability ...
Nwankwo, Cosmas Chidozie
core  

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

open access: yesMolecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen   +11 more
wiley   +1 more source

Food supply chain network robustness : a literature review and research agenda [PDF]

open access: yes, 2008
Today’s business environment is characterized by challenges of strong global competition where companies tend to achieve leanness and maximum responsiveness.
Vorst, J.G.A.J., van der   +2 more
core  

Analysing the robustness of finger vein recognition: cross-dataset reliability and vein utility

open access: yesEURASIP Journal on Image and Video Processing
Finger vein recognition is an emerging biometric trait known for its privacy features. Despite the remarkable performance of deep learning methods like convolutional neural networks on challenging finger vein datasets, their reliability and robustness ...
Tugce Arican   +2 more
doaj   +1 more source

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