The dynamics of wave packets carrying a spatiotemporal vortex in the spatial fractional system is still an open problem.The difficulty stems from the fact that the fractional Laplacian derivative is essentially a nonl...The dynamics of wave packets carrying a spatiotemporal vortex in the spatial fractional system is still an open problem.The difficulty stems from the fact that the fractional Laplacian derivative is essentially a nonlocal operator,and the vortex is space-time coupled.Here,we investigate the transmission of spatiotemporal vortices in the spatial fractional wave equation(FWE)and demonstrate the effects of linewidth,vortex topological charge,and linear chirp modulation on the transmission of Bessel-type spatiotemporal vortex pulses(BSTVPs).Under narrowband conditions,we find that the propagation of BSTVP in the FWE can be seen as the coherent superposition of two linearly shifted half-BSTVPs and can reveal orbital angular momentum backflow for the half-BSTVP.Our analysis can be extended to other spatiotemporal vortex pulses.展开更多
Type 2 diabetes mellitus(T2DM)exacerbates irreversible bone loss in periodontitis,but the mechanism of impaired bone regeneration caused by the abnormal metabolic process of T2DM remains unclear.Exosomes are regarded ...Type 2 diabetes mellitus(T2DM)exacerbates irreversible bone loss in periodontitis,but the mechanism of impaired bone regeneration caused by the abnormal metabolic process of T2DM remains unclear.Exosomes are regarded as the critical mediator in diabetic impairment of regeneration via organ or tissue communication.Here,we find that abnormally elevated exosomes derived from metabolically impaired liver in T2DM are significantly enriched in the periodontal region and induced pyroptosis of periodontal ligament cells(PDLCs).Mechanistically,fatty acid synthase(Fasn),the main differentially expressed molecule in diabetic exosomes results in ectopic fatty acid synthesis in PDLCs and activates the cleavage of gasdermin D.Depletion of liver Fasn effectively mitigates pyroptosis of PDLCs and alleviates bone loss.Our findings elucidate the mechanism of exacerbated bone loss in diabetic periodontitis and reveal the exosome-mediated organ communication in the“liver-bone”axis,which shed light on the prevention and treatment of diabetic bone disorders in the future.展开更多
The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis(ARN).The potential application of artificial intelligence(AI)alg...The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis(ARN).The potential application of artificial intelligence(AI)algorithms in these areas of clinical research has not been reported previously.The present study aims to create a computational algorithm for the automated detection and evaluation of retinal necrosis from retinal fundus photographs.A total of 149 wide-angle fundus photographs from40 eyes of 32 ARN patients were collected,and the U-Net method was used to construct the AI algorithm.Thereby,a novel algorithm based on deep machine learning in detection and evaluation of retinal necrosis was constructed for the first time.This algorithm had an area under the receiver operating curve of 0.92,with 86%sensitivity and 88%specificity in the detection of retinal necrosis.For the purpose of retinal necrosis evaluation,necrotic areas calculated by the AI algorithm were significantly positively correlated with viral load in aqueous humor samples(R2=0.7444,P<0.0001)and therapeutic response of ARN(R2=0.999,P<0.0001).Therefore,our AI algorithm has a potential application in the clinical aided diagnosis of ARN,evaluation of ARN severity,and treatment response monitoring.展开更多
基金National Key Research and Development Program of China(2022YFC2808203)National Natural Science Foundation of China(11474254,11804298).
文摘The dynamics of wave packets carrying a spatiotemporal vortex in the spatial fractional system is still an open problem.The difficulty stems from the fact that the fractional Laplacian derivative is essentially a nonlocal operator,and the vortex is space-time coupled.Here,we investigate the transmission of spatiotemporal vortices in the spatial fractional wave equation(FWE)and demonstrate the effects of linewidth,vortex topological charge,and linear chirp modulation on the transmission of Bessel-type spatiotemporal vortex pulses(BSTVPs).Under narrowband conditions,we find that the propagation of BSTVP in the FWE can be seen as the coherent superposition of two linearly shifted half-BSTVPs and can reveal orbital angular momentum backflow for the half-BSTVP.Our analysis can be extended to other spatiotemporal vortex pulses.
基金supported by the Major Program of the National Natural Science Foundation of China(81991500,81991502,81991504)Shaanxi provincial key research and development program(2023-ZDLSF-49)the National Postdoctoral Program for Innovative Talents of China(BX20220394).
文摘Type 2 diabetes mellitus(T2DM)exacerbates irreversible bone loss in periodontitis,but the mechanism of impaired bone regeneration caused by the abnormal metabolic process of T2DM remains unclear.Exosomes are regarded as the critical mediator in diabetic impairment of regeneration via organ or tissue communication.Here,we find that abnormally elevated exosomes derived from metabolically impaired liver in T2DM are significantly enriched in the periodontal region and induced pyroptosis of periodontal ligament cells(PDLCs).Mechanistically,fatty acid synthase(Fasn),the main differentially expressed molecule in diabetic exosomes results in ectopic fatty acid synthesis in PDLCs and activates the cleavage of gasdermin D.Depletion of liver Fasn effectively mitigates pyroptosis of PDLCs and alleviates bone loss.Our findings elucidate the mechanism of exacerbated bone loss in diabetic periodontitis and reveal the exosome-mediated organ communication in the“liver-bone”axis,which shed light on the prevention and treatment of diabetic bone disorders in the future.
基金the National Natural Science Foundation of China(Nos.81870648 and 82070949)。
文摘The prompt detection and proper evaluation of necrotic retinal region are especially important for the diagnosis and treatment of acute retinal necrosis(ARN).The potential application of artificial intelligence(AI)algorithms in these areas of clinical research has not been reported previously.The present study aims to create a computational algorithm for the automated detection and evaluation of retinal necrosis from retinal fundus photographs.A total of 149 wide-angle fundus photographs from40 eyes of 32 ARN patients were collected,and the U-Net method was used to construct the AI algorithm.Thereby,a novel algorithm based on deep machine learning in detection and evaluation of retinal necrosis was constructed for the first time.This algorithm had an area under the receiver operating curve of 0.92,with 86%sensitivity and 88%specificity in the detection of retinal necrosis.For the purpose of retinal necrosis evaluation,necrotic areas calculated by the AI algorithm were significantly positively correlated with viral load in aqueous humor samples(R2=0.7444,P<0.0001)and therapeutic response of ARN(R2=0.999,P<0.0001).Therefore,our AI algorithm has a potential application in the clinical aided diagnosis of ARN,evaluation of ARN severity,and treatment response monitoring.