As human-machine teams are being considered for a variety of mixed-initiative tasks, detecting and being responsive to human cognitive states, in particular systematic cognitive states, is among the most critical capabilities for artificial systems to ensure smooth interactions with humans and high overall team performance. Various human physiological parameters, such as heart rate, respiration rate, blood pressure, and skin conductance, as well as brain activity inferred from functional near-infrared spectroscopy or electroencephalogram, have been linked to different systemic cognitive states, such as workload, distraction, or mind-wandering among others. Whether these multimodal signals are indeed sufficient to isolate such cognitive states across individuals performing tasks or whether additional contextual information (e.
View Article and Find Full Text PDFDrug Deliv Transl Res
October 2022
Diabetes mellitus is a metabolic disease manifested by hyperglycemia. For patients with type 1 and advanced type 2 diabetes mellitus, insulin therapy is essential. Subcutaneous injection remains the most common administration method.
View Article and Find Full Text PDFSignificance: We demonstrated the potential of using domain adaptation on functional near-infrared spectroscopy (fNIRS) data to classify different levels of n-back tasks that involve working memory.
Aim: Domain shift in fNIRS data is a challenge in the workload level alignment across different experiment sessions and subjects. To address this problem, two domain adaptation approaches-Gromov-Wasserstein (G-W) and fused Gromov-Wasserstein (FG-W) were used.
Obesity is associated with a higher risk of developing breast cancer and with worse disease outcomes for women of all ages. The composition, density, and organization of the breast tissue stroma are also known to play an important role in the development and progression of the disease. However, the connections between obesity and stromal remodeling are not well understood.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
May 2018
Endometrial receptivity refers to the ability of endometrium to accept and accommodate endometrial implantation in the process of embryo implantation in implantation window period. It is an important factor affecting the rate of blastocyst implantation in assisted reproduction. It is worth mentioning that ovulation-promoting drugs in current assisted reproduction technology could reduce endometrial receptivity and inhibit blastocyst implantation, greatly affecting the success rate of assisted reproduction.
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