Flexible and wearable sensors offer immense potential for rehabilitation medicine,but most rely solely on electrical signals,lacking real-time visual feedback and limiting trainee's interactivity.Inspired by the s...Flexible and wearable sensors offer immense potential for rehabilitation medicine,but most rely solely on electrical signals,lacking real-time visual feedback and limiting trainee's interactivity.Inspired by the structural coloration of Cyanocitta stelleri feathers,we developed a dual-mode sensor by utilizing black conductive polymer hydrogel(CPH)-enhanced structural color strategy.This sensor integrates a hydroxypropyl cellulose(HPC)-based structural color interface with a designed CPH sensing component.Highly visible light-absorbing CPH(absorption rate>88%)serves as the critical substrate for enhancing structural color performance.By absorbing incoherent scattered light and suppressing background interference,it significantly enhances the saturation of structural color,thereby achieving a high contrast index of 4.92.Unlike the faint and hardly visible structural colors on non-black substrates,the HPC on CPH displays vivid,highly perceptible colors and desirable mechanochromic behavior.Moreover,the CPH acts as a flexible sensing element,fortified by hydrogen and coordination bond networks,and exhibits exceptional electromechanical properties,including 867.1 kPa tensile strength,strain sensitivity(gauge factor of 4.24),and outstanding durability(over 4400 cycles).Compared to traditional single-mode sensors,the integrated sensor provides real-time visual and digital dual feedback,enhancing the accuracy and interactivity of rehabilitation assessments.This technology holds promise for advancing next-generation rehabilitation medicine.展开更多
Renal ischemia-reperfusion injury (IRI) is one of the major causes of acute kidney injury, and the inflammatory response is considered a key factor. The selenoprotein GPX3, a member of the glutathione peroxidase famil...Renal ischemia-reperfusion injury (IRI) is one of the major causes of acute kidney injury, and the inflammatory response is considered a key factor. The selenoprotein GPX3, a member of the glutathione peroxidase family, has gradually attracted attention for its anti-inflammatory properties. However, the relationship between GPX3 and the inflammatory response during renal IRI remains unclear. The present study aims to investigate the role of GPX3 on the inflammatory response during renal IRI and related mechanisms. We utilized classic rat models of kidney IRI and cellular hypoxia reoxygenation model. After overexpressing GPX3 via lentiviruses and adeno-associated viruses, we observed a significant reduction in the expression levels of inflammatory factors in renal tissues, along with an increase in the expression of anti-inflammatory factor IL-10, resulting in noticeable alleviation of renal IRI. Meanwhile, we found that GPX3 alleviated the inflammatory response, probably by inhibiting the MAPK signaling pathway and reducing the expression of NAPDH oxidase. To further validate the mechanism by which GPX3 alleviated the inflammatory response, we used the MAPK signaling pathway agonist anisomycin for intervention. The results showed that anisomycin intervention significantly reversed the inhibitory effect of GPX3 on the MAPK signaling pathway, in which the expression level of NADPH oxidase was significantly increased, the secretion of inflammatory factors was increased, and the degree of renal tissue damage was significantly increased. These findings suggest that selenoprotein GPX3 alleviates inflammation during renal IRI by inhibiting the MAPK signaling pathway and reducing NADPH oxidase expression.展开更多
This paper assesses the hazardousness, vulnerability and risk of debris flow and landslide in China and compiles maps with a scale of 1：6000000, based on Geographical Information System （GIS） technology, hazard reg...This paper assesses the hazardousness, vulnerability and risk of debris flow and landslide in China and compiles maps with a scale of 1：6000000, based on Geographical Information System （GIS） technology, hazard regionalization map, socioeconomic data from 2000. Integrated hazardousness of debris flow and landslide is equivalent to the sum of debris flow hazardousness and landslide hazardousness. Vulnerability is assessed by employing a simplified assessment model. Risk is calculated by the following formula： Risk = Hazardousness × Vulnerability. The analysis results of assessment of hazardousness, vulnerability and risk show that there are extremely high risk regions of 104 km2, high risk regions of 283008 km2, moderate risk regions of 3161815 km2, low risk regions of 3299604km2, and extremely low risk regions of 2681709 km2. Exploitation activities should be prohibited in extremely high risk and high risk regions and restricted in moderate risk regions. The present study on risk analysis of debris flow and landslide not only sheds new light on the future work in this direction but also provides a scientific basis for disaster prevention and mitigation policy making.展开更多
基金supported by the Science and Technology Development Fund,Macao SAR(0065/2023/AFJ,0116/2022/A3)the National Natural Science Foundation of China(52402166)+4 种基金the Natural Science Foundation of Guangdong Province(2025A1515011120)the Australian Research Council(DE220100154)the financial support from the Science and Technology Development Fund(FDCT),Macao SAR(No.0149/2022/A),and(No.0046/2024/AFJ)Guangdong Science and Technology Department(2023QN10C305)for this workthe financial support from the National Natural Science Foundation of China(Grant No.22305185)。
文摘Flexible and wearable sensors offer immense potential for rehabilitation medicine,but most rely solely on electrical signals,lacking real-time visual feedback and limiting trainee's interactivity.Inspired by the structural coloration of Cyanocitta stelleri feathers,we developed a dual-mode sensor by utilizing black conductive polymer hydrogel(CPH)-enhanced structural color strategy.This sensor integrates a hydroxypropyl cellulose(HPC)-based structural color interface with a designed CPH sensing component.Highly visible light-absorbing CPH(absorption rate>88%)serves as the critical substrate for enhancing structural color performance.By absorbing incoherent scattered light and suppressing background interference,it significantly enhances the saturation of structural color,thereby achieving a high contrast index of 4.92.Unlike the faint and hardly visible structural colors on non-black substrates,the HPC on CPH displays vivid,highly perceptible colors and desirable mechanochromic behavior.Moreover,the CPH acts as a flexible sensing element,fortified by hydrogen and coordination bond networks,and exhibits exceptional electromechanical properties,including 867.1 kPa tensile strength,strain sensitivity(gauge factor of 4.24),and outstanding durability(over 4400 cycles).Compared to traditional single-mode sensors,the integrated sensor provides real-time visual and digital dual feedback,enhancing the accuracy and interactivity of rehabilitation assessments.This technology holds promise for advancing next-generation rehabilitation medicine.
基金supported by the Chongqing Natural Science Foundation Innovation and Development Joint Fund Project(China)(No.CSTB2024NSCQ-LZX0072)the Program for Youth Innovation in Future Medicine,Chongqing Medical University(China)(No.W0201)The Joint Medical Research Project of Chongqing Science and Technology Bureau and Health Commission(China)(No.2024MSXM002).
文摘Renal ischemia-reperfusion injury (IRI) is one of the major causes of acute kidney injury, and the inflammatory response is considered a key factor. The selenoprotein GPX3, a member of the glutathione peroxidase family, has gradually attracted attention for its anti-inflammatory properties. However, the relationship between GPX3 and the inflammatory response during renal IRI remains unclear. The present study aims to investigate the role of GPX3 on the inflammatory response during renal IRI and related mechanisms. We utilized classic rat models of kidney IRI and cellular hypoxia reoxygenation model. After overexpressing GPX3 via lentiviruses and adeno-associated viruses, we observed a significant reduction in the expression levels of inflammatory factors in renal tissues, along with an increase in the expression of anti-inflammatory factor IL-10, resulting in noticeable alleviation of renal IRI. Meanwhile, we found that GPX3 alleviated the inflammatory response, probably by inhibiting the MAPK signaling pathway and reducing the expression of NAPDH oxidase. To further validate the mechanism by which GPX3 alleviated the inflammatory response, we used the MAPK signaling pathway agonist anisomycin for intervention. The results showed that anisomycin intervention significantly reversed the inhibitory effect of GPX3 on the MAPK signaling pathway, in which the expression level of NADPH oxidase was significantly increased, the secretion of inflammatory factors was increased, and the degree of renal tissue damage was significantly increased. These findings suggest that selenoprotein GPX3 alleviates inflammation during renal IRI by inhibiting the MAPK signaling pathway and reducing NADPH oxidase expression.
文摘This paper assesses the hazardousness, vulnerability and risk of debris flow and landslide in China and compiles maps with a scale of 1：6000000, based on Geographical Information System （GIS） technology, hazard regionalization map, socioeconomic data from 2000. Integrated hazardousness of debris flow and landslide is equivalent to the sum of debris flow hazardousness and landslide hazardousness. Vulnerability is assessed by employing a simplified assessment model. Risk is calculated by the following formula： Risk = Hazardousness × Vulnerability. The analysis results of assessment of hazardousness, vulnerability and risk show that there are extremely high risk regions of 104 km2, high risk regions of 283008 km2, moderate risk regions of 3161815 km2, low risk regions of 3299604km2, and extremely low risk regions of 2681709 km2. Exploitation activities should be prohibited in extremely high risk and high risk regions and restricted in moderate risk regions. The present study on risk analysis of debris flow and landslide not only sheds new light on the future work in this direction but also provides a scientific basis for disaster prevention and mitigation policy making.
