Results 71 to 80 of about 1,558,397 (342)

Research Prospects for the Optimization of Magneto-Optical Trap Parameters for Cold Atom Interferometers

open access: yesApplied Sciences
This study examines parameter optimization for magneto-optical traps (MOTs) to increase trapping efficiency and improve cold atom interferometer performance.
Dongyi Li, Fangjun Qin, Rui Xu, An Li
doaj   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

open access: yesMolecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera   +11 more
wiley   +1 more source

Seven-parameter PEMFC model optimization using an battlefield optimization algorithm

open access: yesElectrochemistry Communications
Precise modeling of Proton Exchange Membrane Fuel Cells (PEMFCs) requires accurate identification of key parameters, which are often unavailable from manufacturers but crucial for predicting fuel cell performance.
Manish Kumar Singla   +7 more
doaj   +1 more source

Parameter Inference in the Pulmonary Circulation of Mice [PDF]

open access: yes, 2017
This study focuses on parameter inference in a pulmonary blood cir- culation model for mice. It utilises a fluid dynamics network model that takes selected parameter values and aims to mimic features of the pulmonary haemody- namics under normal ...
Colebank, Mitchel   +6 more
core  

Using Gaussian process regression for efficient parameter reconstruction

open access: yes, 2019
Optical scatterometry is a method to measure the size and shape of periodic micro- or nanostructures on surfaces. For this purpose the geometry parameters of the structures are obtained by reproducing experimental measurement results through numerical ...
Chisari   +12 more
core   +1 more source

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

open access: yesMolecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan   +16 more
wiley   +1 more source

An Interactive Approach for Hierarchical Parameter Optimization

open access: yesJournal of Fluid Science and Technology, 2008
We propose a novel interactive parameter optimization technique which asks users to determine whether further exploration is required by using a hierarchical visualization technique. Our technique generates a k-d tree and uses the coefficient of multiple
Teppei TANAKA   +3 more
doaj   +1 more source

Cell‐cycle‐specific lesion evolution rather than inhibition of double‐strand‐break repair underpins cisplatin radiosensitization

open access: yesMolecular Oncology, EarlyView.
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu   +10 more
wiley   +1 more source

Process parameter optimization for lateral flow immunosensing

open access: yesMaterials Science for Energy Technologies, 2019
Lateral flow immunoassay (LFIA) is a widely used technique in the field of point-of-care diagnostics. Assembly of components such as sample pad, conjugate pad, nitrocellulose membrane (NCM), absorbent pad on the plastic backing laminate to prepare the ...
Vivek Borse, Rohit Srivastava
doaj   +1 more source

Bayesian Contextual Bandits for Hyper Parameter Optimization

open access: yesIEEE Access, 2020
Hyper parameter optimization (HPO) is a crucial step in modern machine learning systems. Bayesian optimization (BO) has shown great promise in HPO, where the parameter evaluation is conducted through a black-box optimization procedure.
Guoxin Sui, Yong Yu
doaj   +1 more source

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