In this paper,we consider mobile edge computing(MEC)networks against proactive eavesdropping.To maximize the transmission rate,IRS assisted UAV communications are applied.We take the joint design of the trajectory of ...In this paper,we consider mobile edge computing(MEC)networks against proactive eavesdropping.To maximize the transmission rate,IRS assisted UAV communications are applied.We take the joint design of the trajectory of UAV,the transmitting beamforming of users,and the phase shift matrix of IRS.The original problem is strong non-convex and difficult to solve.We first propose two basic modes of the proactive eavesdropper,and obtain the closed-form solution for the boundary conditions of the two modes.Then we transform the original problem into an equivalent one and propose an alternating optimization(AO)based method to obtain a local optimal solution.The convergence of the algorithm is illustrated by numerical results.Further,we propose a zero forcing(ZF)based method as sub-optimal solution,and the simulation section shows that the proposed two schemes could obtain better performance compared with traditional schemes.展开更多
Intelligent reflecting surface(IRS)is a newly emerged and promising paradigm to substantially improve the performance of wireless communications by constructing favorable communication channels via properly tuning mas...Intelligent reflecting surface(IRS)is a newly emerged and promising paradigm to substantially improve the performance of wireless communications by constructing favorable communication channels via properly tuning massive reflecting elements.This paper considers a distributed IRS aided decode-and-forward(DF)relaying system over Nakagami-m fading channels.Based on a tight approximation for the distribution of the received signalto-noise ratio(SNR),we first derive exact closed-form expressions of the outage probability,ergodic capacity,and energy efficiency for the considered system.Moreover,we propose the optimal IRS configuration considering the energy efficiency and pilot overhead.Finally,we compare the performance between the distributed IRS-aided DF relaying and multi-IRS-only systems,and verify the analytical results by using monte carlo simulations.展开更多
The utilization of mobile edge computing(MEC)for unmanned aerial vehicle(UAV)communication presents a viable solution for achieving high reliability and low latency communication.This study explores the potential of e...The utilization of mobile edge computing(MEC)for unmanned aerial vehicle(UAV)communication presents a viable solution for achieving high reliability and low latency communication.This study explores the potential of employing intelligent reflective surfaces(IRS)andUAVs as relay nodes to efficiently offload user computing tasks to theMEC server system model.Specifically,the user node accesses the primary user spectrum,while adhering to the constraint of satisfying the primary user peak interference power.Furthermore,the UAV acquires energy without interrupting the primary user’s regular communication by employing two energy harvesting schemes,namely time switching(TS)and power splitting(PS).The selection of the optimal UAV is based on the maximization of the instantaneous signal-to-noise ratio.Subsequently,the analytical expression for the outage probability of the system in Rayleigh channels is derived and analyzed.The study investigates the impact of various system parameters,including the number of UAVs,peak interference power,TS,and PS factors,on the system’s outage performance through simulation.The proposed system is also compared to two conventional benchmark schemes:the optimal UAV link transmission and the IRS link transmission.The simulation results validate the theoretical derivation and demonstrate the superiority of the proposed scheme over the benchmark schemes.展开更多
In this paper,we investigate the energy efficiency maximization for mobile edge computing(MEC)in intelligent reflecting surface(IRS)assisted unmanned aerial vehicle(UAV)communications.In particular,UAVcan collect the ...In this paper,we investigate the energy efficiency maximization for mobile edge computing(MEC)in intelligent reflecting surface(IRS)assisted unmanned aerial vehicle(UAV)communications.In particular,UAVcan collect the computing tasks of the terrestrial users and transmit the results back to them after computing.We jointly optimize the users’transmitted beamforming and uploading ratios,the phase shift matrix of IRS,and the UAV trajectory to improve the energy efficiency.The formulated optimization problem is highly non-convex and difficult to be solved directly.Therefore,we decompose the original problem into three sub-problems.We first propose the successive convex approximation(SCA)based method to design the beamforming of the users and the phase shift matrix of IRS,and apply the Lagrange dual method to obtain a closed-form expression of the uploading ratios.For the trajectory optimization,we propose a block coordinate descent(BCD)based method to obtain a local optimal solution.Finally,we propose the alternating optimization(AO)based overall algorithmand analyzed its complexity to be equivalent or lower than existing algorithms.Simulation results show the superiority of the proposedmethod compared with existing schemes in energy efficiency.展开更多
The liver is a vital organ in chickens that performs a number of crucial physiological functions, including the storage of hepatic glycogen, protein synthesis, detoxification, and deoxidation. The growth and metabolis...The liver is a vital organ in chickens that performs a number of crucial physiological functions, including the storage of hepatic glycogen, protein synthesis, detoxification, and deoxidation. The growth and metabolism of the liver are complex processes influenced by factors such as environment, diet, and genetics. MicroRNAs(miRNAs), as posttranscriptional regulatory molecules, play a role in various biological processes. There is growing evidence that miR-27b-5p plays a key role in the regulation of liver development and metabolism in various species. However, its role in chicken livers has yet to be determined. In our experiment, we found that chickens with fatty livers had significantly higher levels of serum triglyceride(TG) and total cholesterol(TC) compared to the normal chickens, while the control group had significantly higher levels of very low-density lipoprotein(VLDL) and serum hormones. Further research showed that the mRNA of miR-27b-5p was highly expressed in fatty livers. By exploring the function of miR-27b-5p in chicken livers, we discovered that it promotes lipogenesis, oxidative stress, and inflammatory responses, leading to hepatocyte apoptosis. Our study also established the mechanism by which miR-27b-5p interacts with its target gene, and found that miR-27b-5p targets insulin receptor substrate 2(IRS2) and modulates the PI3K/AKT signaling pathway. Additionally, our investigation of IRS2 in chicken hepatocytes revealed that knocking down IRS2 has the same effects as overexpressing miR-27b-5p. In conclusion, our study revealed that miR-27b-5p directly binds to IRS2, inhibiting the PI3K/AKT signaling pathway and causing steatosis, oxidative stress, inflammation, and apoptosis in chicken liver.展开更多
This study aims to investigate the influence of emerging technology adoption on tax compliance, encompassing both the Internal Revenue Service’s (IRS) compliance audits and taxpayers’ compliance performance (collect...This study aims to investigate the influence of emerging technology adoption on tax compliance, encompassing both the Internal Revenue Service’s (IRS) compliance audits and taxpayers’ compliance performance (collectively, tax compliance). We employed the Gradient Descent optimization algorithm, an artificial intelligence (AI) technology application, to scrutinize the connection between the quality of US tax filings and the development of emerging technology, among other contributing factors. Additionally, we utilized multiple linear regression to evaluate the relationships between dependent variables, specifically IRS audit rates and the no-change rate at different income levels,1 and several independent variables, including a proxy for emerging technology in the form of tax software. Our findings reveal that while emerging technology significantly impacts tax compliance within the IRS and taxpayers’ performance, its effects vary across income groups. Notably, emerging technology seems to confer greater advantages to higher-income individuals compared to their lower-income counterparts. These study results hold considerable policy implications for government decision-makers in promoting the adoption of emerging technology among lower-income taxpayers.展开更多
目的:探讨针刺对2型糖尿病(T2DM)大鼠肝组织胰岛素受体底物1和2基因(IRS1和2mRNA)表达的影响。方法:给食源性肥胖大鼠腹腔注射小剂量链脲佐菌素(STZ)(25mg/kg)造模成T2DM大鼠,随机分为针刺组、优降糖组和模型组,处理4周后,用快速血糖仪...目的:探讨针刺对2型糖尿病(T2DM)大鼠肝组织胰岛素受体底物1和2基因(IRS1和2mRNA)表达的影响。方法:给食源性肥胖大鼠腹腔注射小剂量链脲佐菌素(STZ)(25mg/kg)造模成T2DM大鼠,随机分为针刺组、优降糖组和模型组,处理4周后,用快速血糖仪检测空腹血糖(FBS)、用放免法检测空腹胰岛素(FINS)、用实时定量荧光PCR(real-tim e RT PCR)法检测肝组织IRS1和2mRNA表达,并与正常组大鼠进行对照。结果:针刺组和优降糖组FBS和FINS比模型组显著降低(P<0.05);模型组IRS1mRNA相对含量是正常组的25%,针刺组为正常组的2.83倍,优降糖组为正常组的1.23倍。模型组IRS2mRNA相对含量为正常组的2.19倍,针刺组IRS2mRNA相对含量为正常组的4.84%,优降糖组IRS2mRNA相对含量为正常组的4.59倍。结论:肝组织IRS1和2mRNA表达异常可能是T2DM的发病机制之一,针刺和优降糖均可上调T2DM大鼠肝组织IRS1mRNA的表达,针刺对T2DM大鼠肝组织IRS1 mRNA表达的上调作用优于优降糖;针刺具有显著抑制T2DM大鼠肝组织IRS2mRNA表达的作用,而优降糖无此作用。展开更多
基金This work was supported by the Key Scientific and Technological Project of Henan Province(Grant Number 222102210212)Doctoral Research Start Project of Henan Institute of Technology(Grant Number KQ2005)Key Research Projects of Colleges and Universities in Henan Province(Grant Number 23B510006).
文摘In this paper,we consider mobile edge computing(MEC)networks against proactive eavesdropping.To maximize the transmission rate,IRS assisted UAV communications are applied.We take the joint design of the trajectory of UAV,the transmitting beamforming of users,and the phase shift matrix of IRS.The original problem is strong non-convex and difficult to solve.We first propose two basic modes of the proactive eavesdropper,and obtain the closed-form solution for the boundary conditions of the two modes.Then we transform the original problem into an equivalent one and propose an alternating optimization(AO)based method to obtain a local optimal solution.The convergence of the algorithm is illustrated by numerical results.Further,we propose a zero forcing(ZF)based method as sub-optimal solution,and the simulation section shows that the proposed two schemes could obtain better performance compared with traditional schemes.
基金supported in part by National Natural Science Foundation of China under Grant 62371262 and 61971467in part by the Key Research and Development Program of Jiangsu Province of China under Grant BE2021013-1+1 种基金in part by the Qinlan Project of Jiangsu Provincein part by the Scientific Research Program of Nantong under Grant JC22022026
文摘Intelligent reflecting surface(IRS)is a newly emerged and promising paradigm to substantially improve the performance of wireless communications by constructing favorable communication channels via properly tuning massive reflecting elements.This paper considers a distributed IRS aided decode-and-forward(DF)relaying system over Nakagami-m fading channels.Based on a tight approximation for the distribution of the received signalto-noise ratio(SNR),we first derive exact closed-form expressions of the outage probability,ergodic capacity,and energy efficiency for the considered system.Moreover,we propose the optimal IRS configuration considering the energy efficiency and pilot overhead.Finally,we compare the performance between the distributed IRS-aided DF relaying and multi-IRS-only systems,and verify the analytical results by using monte carlo simulations.
基金the National Natural Science Foundation of China(62271192)Henan Provincial Scientists Studio(GZS2022015)+10 种基金Central Plains Talents Plan(ZYYCYU202012173)NationalKeyR&DProgramofChina(2020YFB2008400)the Program ofCEMEE(2022Z00202B)LAGEO of Chinese Academy of Sciences(LAGEO-2019-2)Program for Science&Technology Innovation Talents in the University of Henan Province(20HASTIT022)Natural Science Foundation of Henan under Grant 202300410126Program for Innovative Research Team in University of Henan Province(21IRTSTHN015)Equipment Pre-Research Joint Research Program of Ministry of Education(8091B032129)Training Program for Young Scholar of Henan Province for Colleges and Universities(2020GGJS172)Program for Science&Technology Innovation Talents in Universities of Henan Province under Grand(22HASTIT020)Henan Province Science Fund for Distinguished Young Scholars(222300420006).
文摘The utilization of mobile edge computing(MEC)for unmanned aerial vehicle(UAV)communication presents a viable solution for achieving high reliability and low latency communication.This study explores the potential of employing intelligent reflective surfaces(IRS)andUAVs as relay nodes to efficiently offload user computing tasks to theMEC server system model.Specifically,the user node accesses the primary user spectrum,while adhering to the constraint of satisfying the primary user peak interference power.Furthermore,the UAV acquires energy without interrupting the primary user’s regular communication by employing two energy harvesting schemes,namely time switching(TS)and power splitting(PS).The selection of the optimal UAV is based on the maximization of the instantaneous signal-to-noise ratio.Subsequently,the analytical expression for the outage probability of the system in Rayleigh channels is derived and analyzed.The study investigates the impact of various system parameters,including the number of UAVs,peak interference power,TS,and PS factors,on the system’s outage performance through simulation.The proposed system is also compared to two conventional benchmark schemes:the optimal UAV link transmission and the IRS link transmission.The simulation results validate the theoretical derivation and demonstrate the superiority of the proposed scheme over the benchmark schemes.
基金the Key Scientific and Technological Project of Henan Province(Grant Number 222102210212)Doctoral Research Start Project of Henan Institute of Technology(Grant Number KQ2005)+1 种基金Doctoral Research Start Project of Henan Institute of Technology(Grant Number KQ2110)Key Research Projects of Colleges and Universities in Henan Province(Grant Number 23B510006).
文摘In this paper,we investigate the energy efficiency maximization for mobile edge computing(MEC)in intelligent reflecting surface(IRS)assisted unmanned aerial vehicle(UAV)communications.In particular,UAVcan collect the computing tasks of the terrestrial users and transmit the results back to them after computing.We jointly optimize the users’transmitted beamforming and uploading ratios,the phase shift matrix of IRS,and the UAV trajectory to improve the energy efficiency.The formulated optimization problem is highly non-convex and difficult to be solved directly.Therefore,we decompose the original problem into three sub-problems.We first propose the successive convex approximation(SCA)based method to design the beamforming of the users and the phase shift matrix of IRS,and apply the Lagrange dual method to obtain a closed-form expression of the uploading ratios.For the trajectory optimization,we propose a block coordinate descent(BCD)based method to obtain a local optimal solution.Finally,we propose the alternating optimization(AO)based overall algorithmand analyzed its complexity to be equivalent or lower than existing algorithms.Simulation results show the superiority of the proposedmethod compared with existing schemes in energy efficiency.
基金financially supported by the National Key Research and Development Program of China (2021YFD1300600)the Sichuan Science and Technology Program, China (2021YFYZ0007 and 2022YFYZ0005)the China Agriculture Research System of MOF and MARA (CARS-40-K06)。
文摘The liver is a vital organ in chickens that performs a number of crucial physiological functions, including the storage of hepatic glycogen, protein synthesis, detoxification, and deoxidation. The growth and metabolism of the liver are complex processes influenced by factors such as environment, diet, and genetics. MicroRNAs(miRNAs), as posttranscriptional regulatory molecules, play a role in various biological processes. There is growing evidence that miR-27b-5p plays a key role in the regulation of liver development and metabolism in various species. However, its role in chicken livers has yet to be determined. In our experiment, we found that chickens with fatty livers had significantly higher levels of serum triglyceride(TG) and total cholesterol(TC) compared to the normal chickens, while the control group had significantly higher levels of very low-density lipoprotein(VLDL) and serum hormones. Further research showed that the mRNA of miR-27b-5p was highly expressed in fatty livers. By exploring the function of miR-27b-5p in chicken livers, we discovered that it promotes lipogenesis, oxidative stress, and inflammatory responses, leading to hepatocyte apoptosis. Our study also established the mechanism by which miR-27b-5p interacts with its target gene, and found that miR-27b-5p targets insulin receptor substrate 2(IRS2) and modulates the PI3K/AKT signaling pathway. Additionally, our investigation of IRS2 in chicken hepatocytes revealed that knocking down IRS2 has the same effects as overexpressing miR-27b-5p. In conclusion, our study revealed that miR-27b-5p directly binds to IRS2, inhibiting the PI3K/AKT signaling pathway and causing steatosis, oxidative stress, inflammation, and apoptosis in chicken liver.
基金Wesley Leeroy (International Baccalaureate Program, Richard Montgomery HS, Maryland, USA) for his research assistance in preparing data and coding Gradient Decent algorithm。
文摘This study aims to investigate the influence of emerging technology adoption on tax compliance, encompassing both the Internal Revenue Service’s (IRS) compliance audits and taxpayers’ compliance performance (collectively, tax compliance). We employed the Gradient Descent optimization algorithm, an artificial intelligence (AI) technology application, to scrutinize the connection between the quality of US tax filings and the development of emerging technology, among other contributing factors. Additionally, we utilized multiple linear regression to evaluate the relationships between dependent variables, specifically IRS audit rates and the no-change rate at different income levels,1 and several independent variables, including a proxy for emerging technology in the form of tax software. Our findings reveal that while emerging technology significantly impacts tax compliance within the IRS and taxpayers’ performance, its effects vary across income groups. Notably, emerging technology seems to confer greater advantages to higher-income individuals compared to their lower-income counterparts. These study results hold considerable policy implications for government decision-makers in promoting the adoption of emerging technology among lower-income taxpayers.
文摘目的:探讨针刺对2型糖尿病(T2DM)大鼠肝组织胰岛素受体底物1和2基因(IRS1和2mRNA)表达的影响。方法:给食源性肥胖大鼠腹腔注射小剂量链脲佐菌素(STZ)(25mg/kg)造模成T2DM大鼠,随机分为针刺组、优降糖组和模型组,处理4周后,用快速血糖仪检测空腹血糖(FBS)、用放免法检测空腹胰岛素(FINS)、用实时定量荧光PCR(real-tim e RT PCR)法检测肝组织IRS1和2mRNA表达,并与正常组大鼠进行对照。结果:针刺组和优降糖组FBS和FINS比模型组显著降低(P<0.05);模型组IRS1mRNA相对含量是正常组的25%,针刺组为正常组的2.83倍,优降糖组为正常组的1.23倍。模型组IRS2mRNA相对含量为正常组的2.19倍,针刺组IRS2mRNA相对含量为正常组的4.84%,优降糖组IRS2mRNA相对含量为正常组的4.59倍。结论:肝组织IRS1和2mRNA表达异常可能是T2DM的发病机制之一,针刺和优降糖均可上调T2DM大鼠肝组织IRS1mRNA的表达,针刺对T2DM大鼠肝组织IRS1 mRNA表达的上调作用优于优降糖;针刺具有显著抑制T2DM大鼠肝组织IRS2mRNA表达的作用,而优降糖无此作用。
