Results 71 to 80 of about 4,035,908 (242)

p190A/ARHGAP35 and p190B/ARHGAP5 proteins in endometrial cancer: a novel cancer‐relevant paralog interplay

open access: yesMolecular Oncology, EarlyView.
This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault   +12 more
wiley   +1 more source

Gesture-based Object Recognition using Histograms of Guiding Strokes [PDF]

open access: yes, 2012
Sadeghipour A, Morency L-P, Kopp S. Gesture-based Object Recognition using Histograms of Guiding Strokes. In: Bowden R, Collomosse J, Mikolajczyk K, eds. Proceedings of the British Machine Vision Conference.
Kopp, Stefan ; https://orcid.org/   +5 more
core  

Optimization of seminal extracellular vesicle isolation protocols for cancer biomarker analysis using proteomic profiling

open access: yesMolecular Oncology, EarlyView.
This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan   +8 more
wiley   +1 more source

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

Enhance the AI Virtual System Accuracy with Novel Hand Gesture Recognition Algorithm Comparing to Convolutional Neural Network [PDF]

open access: yesE3S Web of Conferences
The objective of this study is to enhance the precision of AI virtual systems by implementing Novel Hand Gesture Recognition techniques in comparison to Convolutional Neural Network.
Sadiq Shaik, Saraswathi S.
doaj   +1 more source

Pathways and pitfalls: a qualitative study of student experiences in biomedical science education

open access: yesFEBS Open Bio, EarlyView.
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell   +8 more
wiley   +1 more source

Dynamic Gesture Recognition Algorithm Combining Global Gesture Motion and Local Finger Motion for Interactive Teaching

open access: yesIEEE Access
Adding dynamic gesture recognition to the new interactive teaching system is of great significance to improve the teaching efficiency. However, the features extracted by traditional dynamic gesture recognition methods are usually difficult to accurately ...
Li Jiashan, Li Zhonghua
doaj   +1 more source

A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW Radar

open access: yesIEEE Access, 2020
In this article, a novel method for continuous hand gesture detection and recognition is proposed based on a frequency modulated continuous wave (FMCW) radar.
Yong Wang   +4 more
doaj   +1 more source

Structural studies and functional engineering of NanX: an anhydro‐sialic acid transporter from Escherichia coli

open access: yesFEBS Open Bio, EarlyView.
Biophysical characterisation shows that NanX, a membrane transport protein from the major facilitator superfamily (MFS), forms both monomers and dimers after purification. AlphaFold modelling and substrate docking provide information on residues likely involved in substrate recognition for NanX and another MFS member, NanT.
Michael C. Newton‐Vesty   +13 more
wiley   +1 more source

An Embedded Neural Network Approach for Reinforcing Deep Learning: Advancing Hand Gesture Recognition [PDF]

open access: yesJournal of Universal Computer Science
Deep neural networks (DNNs) can face limitations during training for recognition, motivating this study to improve recognition capabilities by optimizing deep learning features for hand gesture image recognition. We propose a novel approach that enhances
Anwar Mira, Olaf Hellwich
doaj   +3 more sources

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