Results 81 to 90 of about 8,003 (296)
Dynamic gesture recognition pipeline based on A-CBLN.
, 2023 Dynamic gesture recognition pipeline based on A-CBLN.
Xiao Zhang (152326) +5 more
core +1 more source
Biophysical approaches for studying viral entry
FEBS Letters, EarlyView.Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
FEBS Letters, EarlyView.The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
Molecular Oncology, EarlyView.Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat +8 more
wiley +1 more source
Gesture recognition method integrating multimodal inter-frame motion and shared attention weights
Discover Artificial IntelligenceTo improve the accuracy and precision of gesture recognition, this study improves YOLOv5 by incorporating a coordinate attention mechanism and a bidirectional feature pyramid network.
Qiyuan Lu
doaj +1 more source
A comparison of dynamic naive Bayesian classifiers and hidden Markov models for gesture recognition [PDF]
, 2011 In this paper we present a study to assess the performance of dynamic naive Bayesian classifiers (DNBCs) versus standard hidden Markov models (HMMs) for gesture recognition. DNBCs incorporate explicit conditional independence among gesture features given
HECTOR HUGO AVILES ARRIAGA +2 more
core
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
Molecular Oncology, EarlyView.This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
A framework for sign language recognition using support vector machines and active learning for skin segmentation and boosted temporal sub-units [PDF]
, 2007 This dissertation describes new techniques that can be used in a sign language recognition (SLR) system, and more generally in human gesture systems. Any SLR system consists of three main components: Skin detector, Tracker, and Recognizer.
Awad, George M.
core
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
A Posteriori Processing Optimization Method for Gesture Interaction in Aseptic Operation Room
IEEE Access, 2018 Gesture recognition plays an important role in the applications of human-centered smart technologies. This paper designs a gesture recognition approach in a special human-computer interaction environment.
Lingzhi Yang +4 more
doaj +1 more source