Results 51 to 60 of about 2,465,100 (294)
Emotion detection from handwriting and drawing samples using an attention-based transformer model [PDF]
PeerJ Computer ScienceEmotion detection (ED) involves the identification and understanding of an individual’s emotional state through various cues such as facial expressions, voice tones, physiological changes, and behavioral patterns.
Zohaib Ahmad Khan +6 more
doaj +2 more sources
Molecular Oncology, EarlyView.We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee +3 more
wiley +1 more source
Handwriting analysis for diagnosis and prognosis of Parkinson’s disease [PDF]
, 2010 At present, there are no quantitative, objective methods for diagnosing the Parkinson disease. Existing methods of quantitative analysis by myograms suffer by inaccuracy and patient strain; electronic tablet analysis is limited to the visible drawing ...
Brause, Rüdiger W. +2 more
core
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
PLoS ONE, 2018 ObjectiveTo describe handwriting and executive control features and their inter-relationships among children with developmental dysgraphia, in comparison to controls.MethodParticipants included 64 children, aged 10-12 years, 32 with dysgraphia based on ...
Sara Rosenblum
doaj +1 more source
Texture feature column scheme for single‐ and multi‐script writer identification
IET Biometrics, 2021 Identification of writers from images of handwriting is an interesting research problem in the handwriting recognition community. Application of image analysis and machine learning techniques to this problem allows development of computerised solutions ...
Faycel Abbas +5 more
doaj +1 more source
FEBS Open Bio, EarlyView.Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
FEBS 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
Hybrid DL-ML Framework for Handwriting-Based Person Recognition
NTU Journal of Engineering and TechnologyThis work proposes an efficient handwriting-person-based identification scheme amalgamating deep learning and regular machine learning classifiers. 6,955 fine-quality Arabic handwriting samples were gathered from 107 users.
Nabaa Alsamak, Maysaloon Abed Qasim
doaj +1 more source