Results 81 to 90 of about 7,889,874 (346)
Secure access control by means of human stress detection
This paper proposes a stress detection system based on fuzzy logic and the physiological signals heart rate and galvanic skin response. The main contribution of this method relies on the creation of a stress template, collecting the behaviour of previous
Bailador del Pozo, Gonzalo +8 more
core +1 more source
Physiological signaling in the absence of amidated peptides [PDF]
Peptidergic signaling is an ancient manner of intertissue communication in multicellular organisms. Even the early eukaryote Trichoplax , with its limited 6-tissue repertoire, uses peptides to communicate between its tissues (1). Humans use peptidergic communication not only to transfer signals between tissues, but also to employ peptide signals in ...
Iris Lindberg, Christopher C. Glembotski
openaire +2 more sources
A study of physiological signals-based emotion recognition systems. [PDF]
The use of physiological signals is relatively recent development in human emotion recognition. Interest in this field has been motivated by the unbiased nature of such signals, which are generated autonomously from the central nervous system. Generally,
Alfian Abdul Halin +7 more
core +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Multi-Modal Pain Intensity Assessment Based on Physiological Signals: A Deep Learning Perspective
Traditional pain assessment approaches ranging from self-reporting methods, to observational scales, rely on the ability of an individual to accurately assess and successfully report observed or experienced pain episodes.
Patrick Thiam +5 more
doaj +1 more source
Physiological properties of brain-machine interface input signals
Brain-machine interfaces (BMIs), also called brain-computer interfaces (BCIs), decode neural signals and use them to control some type of external device.
Robert D. Flint, Marc W. Slutzky
core +1 more source
Quality of multimedia experience prediction using peripheral physiological signals
This paper proposes the utilization of physiological signals for quality of experience (QoE) assessment by employing machine learning and deep learning classifiers.
Flynn, Ronan +3 more
core +1 more source
Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source
Blue light (BL) plays a crucial role in regulating floral transition and can be precisely manipulated in controlled-environment agriculture (CEA). However, previous studies on BL-mediated flowering in CEA have produced conflicting results, likely due to ...
Yun Kong, Youbin Zheng
doaj +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source

