Results 41 to 50 of about 620,805 (282)

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

Khmer-English Parallel Web Page Extraction Based on Maximum Entropy Model [PDF]

open access: yesJisuanji gongcheng, 2016
Because of the isomerism and complexity of parallel pages,how to automatically and effectively get the bilingual parallel pages and how to improve the quality of them are key issues for constructing a parallel corpus.Take example for mining Khmer-English
MO Yuanyuan,PAN Litong,YAN Xin,YU Zhengtao,LIU Xiaohui
doaj   +1 more source

Optimizing photoexcitation conditions for time‐resolved X‐ray solution scattering experiments

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering (TR‐XSS) is a powerful technique to visualize how proteins change their structure in real time after light activation. Selecting the right laser photoexcitation conditions—fluence, excitation geometry, and sample refresh rate—is critical to maximize the experimental signal while avoiding unwanted side effects ...
Matteo Levantino
wiley   +1 more source

Identification and characterisation of calcitonin receptor isoforms expressed in glioblastoma derived glioma stem and U‐87 MG cells

open access: yesFEBS Open Bio, EarlyView.
Glioblastoma cells express calcitonin receptor variants (CT receptor isoforms) that may help them survive stress. Using qPCR, transcript‐specific long‐read nanopore sequencing, immunofluorescence co‐localisation and comparative sequence analysis, this study identifies a novel alternatively spliced CALCR transcript that encodes the CTb receptor isoform ...
Pragya Gupta   +7 more
wiley   +1 more source

SimilarNet: Pairwise Similarity Comparator Layer for Versatile Comparison

open access: yesIEEE Access, 2023
In recent years, deep learning has attracted considerable attention owing to its ability to address complex problems in various fields. One notable problem is metric space learning, which is aimed at learning feature embeddings through the calculation of
Chungheon Yi, Ling Liu, Wonik Choi
doaj   +1 more source

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright   +10 more
wiley   +1 more source

Similarity Detection for Hadith of Fiqh of Women using Cosine Similarity and Boyer Moore Method [PDF]

open access: yes, 2020
Nowadays, people can get information easily including about fiqh and hadith as a source of Islamic law. The problem is, there are so many articles about jurisprudence whose understanding refers to the laws or rules relating to the hadith whose validity ...
M Yunus,, Badruzzaman   +3 more
core   +4 more sources

A Novel Multi-Attribute Decision-Making Method for Supplier Selection in the Health Care Industry Using Cosine Similarity Measures of Single-Valued Neutrosophic Cubic Hypersoft Sets

open access: yesIEEE Access
Cosine similarity measures are essential in situations that assess the similarities and differences between two potential outcomes. For different extensions of fuzzy sets, soft sets, and hypersoft sets, a wide range of similarity metrics have been ...
Muhammad Sajid   +3 more
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

Similarity Coefficient Based on Gradient Deviation for Samples With Data Ranges Over Multiple Orders of Magnitude and Clustered Data Points

open access: yesJournal of Applied Mathematics
In biomedical sciences, agricultural sciences, and geosciences, similarities are assessed among samples by using their compositional data for various applications.
Yunlai Yang, Zhenzhu Wan
doaj   +1 more source

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