The association between intakes of dietary trace minerals and gallstone disease: A cross-sectional study from National Health and Nutrition Examination Survey 2017 to 2018.

The gallstone disease is becoming increasingly prevalent worldwide. Dietary trace minerals have been proven to be closely related to many metabolic diseases, and this study aims to explore the association between intakes of dietary trace minerals (copper, iron, selenium, and zinc) and gallstone disease (GSD). Using the National Health and Nutrition Examination Survey (NHANES) from 2017 to 2018, intakes of dietary trace minerals and GSD data were obtained through a 24-hour recall and diagnostic questionnaire, respectively. Weighted logistic regression models were used to identify the association between intakes of dietary trace minerals and the prevalence of GSD, and the results were presented as odds ratios (OR) and 95% confidence intervals (95% CI). A total of 4077 participants were included in the final analysis, of which 456 participants had GSD and 3621 participants serving as the control group. No significant associations between GSD and intakes of dietary trace minerals (iron, selenium, and zinc) were found. However, after adjusting for all covariates, significant association was demonstrated between dietary copper (Cu) intake and GSD (OR = 0.66, 95% CI = 0.45-0.98). After conducting a weighted quantile logistic regression, a significant negative correlation was also found between dietary Cu intake and highest GSD quartile (Q4) (OR = 0.45, 95% CI = 0.26-0.80). Following the research outlined above, no association was found between intakes of dietary trace minerals (iron, selenium, and zinc) and GSD; however, a linear negative association was identified between dietary Cu intake and GSD.

Artificial Leaky Integrate-and-Fire Sensory Neuron for In-Sensor Computing Neuromorphic Perception at the Edge.

Neuromorphic perception and computing show great promise in terms of energy efficiency and data bandwidth compared to von Neumann's computing architecture. In-sensor computing allows perception information processing at the edge, which is highly dependent on the functional fusion of receptors and neurons. Here, a leaky integrate-and-fire (LIF) artificial spiking sensory neuron (ASSN) based on a NbOx memristor and an a-IGZO thin-film transistor (TFT) is successfully developed. The ASSN is fabricated mainly through simple sputter deposition processes, showing the prospect of high process compatibility and potential for integration fabrication. The device shows excellent spike encoding ability to deliver the neuromorphic information through spike rate and time-to-first spike. Moreover, in the ASSN, the a-IGZO TFT not only provides the fundamental spike signal computing function of the artificial neuron but also has NO2 gas and ultraviolet (UV) light dual sensitivity to introduce the neuromorphic perception capability. As a result, the ASSN successfully exhibits an inhibitory property under NO2 stimulation while exhibiting an excitatory state under UV light stimulation. Futhermore, self-adaption and lateral regulation circuits between different ASSNs are proposed at the edge in mimicking biological neurons' rich interconnection and feedback mechanisms. The ASSNs successfully achieve self-regulation after a huge response during a burst stimulus. In addition, the neuron transmits a more obvious output when the target-sensitive events occur through the edge internal regulation. The self-adaption and lateral regulation demonstrated in ASSN move an important step forward to in-sensor computing, which provides the potential for a multiscene perception in complex environments.