Objective:To investigate the application effect of the discharge preparation plan based on the ADOPT nursing model in patients with first-visit ischemic stroke.Methods:Eighty patients with first-visit ischemic stroke ...Objective:To investigate the application effect of the discharge preparation plan based on the ADOPT nursing model in patients with first-visit ischemic stroke.Methods:Eighty patients with first-visit ischemic stroke admitted to our hospital from June 1,2024 to November 31,2024 were selected and divided into a control group(June 1,2024 to August 30,2024)and an intervention group(September 1,2024 to November 31,2024)according to different admission times,with 40 cases in each group.The control group received routine care and discharge guidance,while the intervention group received a discharge preparation plan based on the ADOPT model on the basis of routine care.The discharge readiness[Discharge Readiness Scale(RHDS)]of patients on the day of discharge was compared.Self-efficacy at 3 months after discharge[evaluated using the Chronic Disease Self-Efficacy Scale(SECD6)],activities of daily living[evaluated using the Barthel index(BI)],blood glucose and blood pressure indicators(diastolic blood pressure,systolic blood pressure,FPG,2 h PG),and readmission rate within 3 months after discharge were also compared between the two groups.Results:On the day of discharge,the RHDS-related dimension scores of the intervention group were higher than those of the control group(t=17.993,8.560,10.243,p<0.05);Three months after discharge,the SECD6 score and BI score of the intervention group were higher than those of the control group(t=8.910,10.899,both p<0.05);Systolic blood pressure,diastolic blood pressure,FPG and 2h PG in the intervention group were lower than those in the control group(t=8.868,4.794,3.829,7.121,all p<0.05);Within 3 months after discharge,the readmission rate of the intervention group was lower than that of the control group(χ^(2)=5.165,2 p<0.05).Conclusion:The discharge preparation plan based on the ADOPT nursing model,when applied to patients with first-visit ischemic stroke,can not only enhance self-efficacy and discharge preparation,improve activities of daily living,but also optimize blood glucose and blood pressure indicators and reduce the readmission rate,which is worthy of reference.展开更多
This study addresses the energy-intensive challenge of small-scale biogas upgrading by optimizing a chemical absorption process employing methyl diethanolamine(MDEA).Focusing on a typical distributed application of 30...This study addresses the energy-intensive challenge of small-scale biogas upgrading by optimizing a chemical absorption process employing methyl diethanolamine(MDEA).Focusing on a typical distributed application of 300 Nm^(3)/d,we developed an integrated simulation-optimization framework using Aspen HYSYS 14.0 to systematically evaluate the effects of critical operating parameters—absorption pressure,MDEA concentration,flow rate,temperature,number of trays,and reboiler duty—on methane purity and energy consumption.The key finding is the identification of an optimal parameter set:absorption pressure of 1200 kPa,MDEA concentration of 20mol%,lean flow rate of 2.5 kmol/h,temperature of 298.15 K,20 absorber trays,10 regenerator trays,and a reboiler duty of 4 kW,which enabled the product gas to achieve a high CH4 concentration of 97mol%,compliant with pipeline standards.A detailed energy consumption analysis revealed that the reboiler is the most energy-intensive unit,accounting for 75.40%of the total 5.29 kW energy consumption,followed by the gas compressor(23.38%).The specific energy consumption for CH4 recovery and the Energy Consumption Index(ECI)were quantified at 0.8852 kWh/kg CH_(4)and 6.82,respectively.This work provides a validated optimization strategy and critical energy breakdown,offering practical guidance for enhancing the technical and economic viability of small-scale,centralized biogas purification systems.展开更多
Channel knowledge map(CKM)has recently emerged as a viable new solution to facilitate the placement and trajectory optimization for unmanned aerial vehicle(UAV)communications,by exploiting the siteand location-specifi...Channel knowledge map(CKM)has recently emerged as a viable new solution to facilitate the placement and trajectory optimization for unmanned aerial vehicle(UAV)communications,by exploiting the siteand location-specific radio propagation information.This paper investigates a CKM-assisted multi-UAV wireless network,by focusing on the construction and utilization of CKMs for multi-UAV placement optimization.First,we consider the CKM construction problem when data measurements for only a limited number of points are available.Towards this end,we exploit a data-driven interpolation technique,namely the Kriging method,to construct CKMs to characterize the signal propagation environments.Next,we study the multi-UAV placement optimization problem by utilizing the constructed CKMs,in which the multiple UAVs aim to optimize their placement locations to maximize the weighted sum rate with their respectively associated ground base stations(GBSs).However,the weighted sum rate function based on the CKMs is generally non-differentiable,which renders the conventional optimization techniques relying on function derivatives inapplicable.To tackle this issue,we propose a novel iterative algorithm based on derivative-free optimization,in which a series of quadratic functions are iteratively constructed to approximate the objective function under a set of interpolation conditions,and accordingly,the UAVs’placement locations are updated by maximizing the approximate function subject to a trust region constraint.Finally,numerical results are presented to validate the performance of the proposed designs.It is shown that the Kriging method can construct accurate CKMs for UAVs.Furthermore,the proposed derivative-free placement optimization design based on the Kriging-constructed CKMs achieves a weighted sum rate that is close to the optimal exhaustive search design based on ground-truth CKMs,but with much lower implementation complexity.In addition,the proposed design is shown to significantly outperform other benchmark schemes.展开更多
Unmanned aerial vehicles(UAVs)have emerged as a promising solution to provide wireless data access for ground users in various applications(e.g.,in emergency situations).This paper considers a UAVenabled wireless netw...Unmanned aerial vehicles(UAVs)have emerged as a promising solution to provide wireless data access for ground users in various applications(e.g.,in emergency situations).This paper considers a UAVenabled wireless network,in which multiple UAVs are deployed as aerial base stations to serve users distributed on the ground.Different from prior works that ignore UAVs’backhaul connections,we practically consider that these UAVs are connected to the core network through a ground gateway node via rate-limited multi-hop wireless backhauls.We also consider that the air-to-ground access links from UAVs to users and the air-to-air backhaul links among UAVs are operated over orthogonal frequency bands.Under this setup,we aim to maximize the common(or minimum)throughput among all the ground users in the downlink of this network subject to the flow conservation constraints at the UAVs,by optimizing the UAVs’deployment locations,jointly with the bandwidth and power allocation of both the access and backhaul links.However,the common throughput maximization is a non-convex optimization problem that is difficult to be solved optimally.To tackle this issue,we use the techniques of alternating optimization and successive convex programming to obtain a locally optimal solution.Numerical results show that the proposed design significantly improves the common throughput among all ground users as compared to other benchmark schemes.展开更多
Ghost imaging(GI) is a novel imaging technique that has garnered widespread attention and discussion since its inception three decades ago. To this day, ghost imaging has become an effective bridge between the advanta...Ghost imaging(GI) is a novel imaging technique that has garnered widespread attention and discussion since its inception three decades ago. To this day, ghost imaging has become an effective bridge between the advantages of quantum light sources and the field of imaging. This article begins by tracing the origin of ghost imaging and reviewing its development journey. Subsequently, we introduce some recent and important achievements and research interests of the field, which mainly include two aspects. First, we review recent works that extend GI from the intensity-only target to the complex field domain, that is, ghost holography. Using quantum correlation, traditional holographic techniques have been reproduced at the single-photon level. Second, we review the recent development of GI with the implementation of the intensified chargecoupled device(ICCD). As detection efficiency improves, ghost imaging will gradually become an important platform for studying physical mechanisms and achieving quantum advantage in imaging.展开更多
基金Construction and Practice of a discharge Preparation Plan for First-visit Ischemic stroke patients Based on the ADOPT model(Project No.:XJ2023005101)。
文摘Objective:To investigate the application effect of the discharge preparation plan based on the ADOPT nursing model in patients with first-visit ischemic stroke.Methods:Eighty patients with first-visit ischemic stroke admitted to our hospital from June 1,2024 to November 31,2024 were selected and divided into a control group(June 1,2024 to August 30,2024)and an intervention group(September 1,2024 to November 31,2024)according to different admission times,with 40 cases in each group.The control group received routine care and discharge guidance,while the intervention group received a discharge preparation plan based on the ADOPT model on the basis of routine care.The discharge readiness[Discharge Readiness Scale(RHDS)]of patients on the day of discharge was compared.Self-efficacy at 3 months after discharge[evaluated using the Chronic Disease Self-Efficacy Scale(SECD6)],activities of daily living[evaluated using the Barthel index(BI)],blood glucose and blood pressure indicators(diastolic blood pressure,systolic blood pressure,FPG,2 h PG),and readmission rate within 3 months after discharge were also compared between the two groups.Results:On the day of discharge,the RHDS-related dimension scores of the intervention group were higher than those of the control group(t=17.993,8.560,10.243,p<0.05);Three months after discharge,the SECD6 score and BI score of the intervention group were higher than those of the control group(t=8.910,10.899,both p<0.05);Systolic blood pressure,diastolic blood pressure,FPG and 2h PG in the intervention group were lower than those in the control group(t=8.868,4.794,3.829,7.121,all p<0.05);Within 3 months after discharge,the readmission rate of the intervention group was lower than that of the control group(χ^(2)=5.165,2 p<0.05).Conclusion:The discharge preparation plan based on the ADOPT nursing model,when applied to patients with first-visit ischemic stroke,can not only enhance self-efficacy and discharge preparation,improve activities of daily living,but also optimize blood glucose and blood pressure indicators and reduce the readmission rate,which is worthy of reference.
基金funded by Shenzhen Science and Technology Program,grant number No.ZDSYS20230626091400001No.KCXST20221021111609024No.KCXFZ20240903093459001.
文摘This study addresses the energy-intensive challenge of small-scale biogas upgrading by optimizing a chemical absorption process employing methyl diethanolamine(MDEA).Focusing on a typical distributed application of 300 Nm^(3)/d,we developed an integrated simulation-optimization framework using Aspen HYSYS 14.0 to systematically evaluate the effects of critical operating parameters—absorption pressure,MDEA concentration,flow rate,temperature,number of trays,and reboiler duty—on methane purity and energy consumption.The key finding is the identification of an optimal parameter set:absorption pressure of 1200 kPa,MDEA concentration of 20mol%,lean flow rate of 2.5 kmol/h,temperature of 298.15 K,20 absorber trays,10 regenerator trays,and a reboiler duty of 4 kW,which enabled the product gas to achieve a high CH4 concentration of 97mol%,compliant with pipeline standards.A detailed energy consumption analysis revealed that the reboiler is the most energy-intensive unit,accounting for 75.40%of the total 5.29 kW energy consumption,followed by the gas compressor(23.38%).The specific energy consumption for CH4 recovery and the Energy Consumption Index(ECI)were quantified at 0.8852 kWh/kg CH_(4)and 6.82,respectively.This work provides a validated optimization strategy and critical energy breakdown,offering practical guidance for enhancing the technical and economic viability of small-scale,centralized biogas purification systems.
基金The work was supported in part by the National Natural Science Foundation of China under Grant U2001208the Basic Research Project No.HZQB-KCZYZ-2021067 of Hetao Shenzhen-HK S&T Cooperation Zone,the National Natural Science Foundation of China under Grant 92267202,Shenzhen Fundamental Research Program under Grant JCYJ20210324133405015+5 种基金Guangdong Provincial Key Laboratory of Future Networks of Intelligence under Grant 2022B1212010001,the National Key R&D Program of China under Grant 2018YFB1800800the Shenzhen Key Laboratory of Big Data and Artificial Intelligence under Grant ZDSYS201707251409055the Key Area R&D Program of Guangdong Province under Grant 2018B030338001the National Science Foundation of China under Grant of 62171398Guangdong Research Projects under Grants 2019QN01X895,2017ZT07X152,and 2019CX01X104,Shenzhen Outstanding Talents Training Fund 202002he Natural Science Foundation of China under Grant 62071114.
文摘Channel knowledge map(CKM)has recently emerged as a viable new solution to facilitate the placement and trajectory optimization for unmanned aerial vehicle(UAV)communications,by exploiting the siteand location-specific radio propagation information.This paper investigates a CKM-assisted multi-UAV wireless network,by focusing on the construction and utilization of CKMs for multi-UAV placement optimization.First,we consider the CKM construction problem when data measurements for only a limited number of points are available.Towards this end,we exploit a data-driven interpolation technique,namely the Kriging method,to construct CKMs to characterize the signal propagation environments.Next,we study the multi-UAV placement optimization problem by utilizing the constructed CKMs,in which the multiple UAVs aim to optimize their placement locations to maximize the weighted sum rate with their respectively associated ground base stations(GBSs).However,the weighted sum rate function based on the CKMs is generally non-differentiable,which renders the conventional optimization techniques relying on function derivatives inapplicable.To tackle this issue,we propose a novel iterative algorithm based on derivative-free optimization,in which a series of quadratic functions are iteratively constructed to approximate the objective function under a set of interpolation conditions,and accordingly,the UAVs’placement locations are updated by maximizing the approximate function subject to a trust region constraint.Finally,numerical results are presented to validate the performance of the proposed designs.It is shown that the Kriging method can construct accurate CKMs for UAVs.Furthermore,the proposed derivative-free placement optimization design based on the Kriging-constructed CKMs achieves a weighted sum rate that is close to the optimal exhaustive search design based on ground-truth CKMs,but with much lower implementation complexity.In addition,the proposed design is shown to significantly outperform other benchmark schemes.
基金the National Natural Science Foundation of China(No.61871137).
文摘Unmanned aerial vehicles(UAVs)have emerged as a promising solution to provide wireless data access for ground users in various applications(e.g.,in emergency situations).This paper considers a UAVenabled wireless network,in which multiple UAVs are deployed as aerial base stations to serve users distributed on the ground.Different from prior works that ignore UAVs’backhaul connections,we practically consider that these UAVs are connected to the core network through a ground gateway node via rate-limited multi-hop wireless backhauls.We also consider that the air-to-ground access links from UAVs to users and the air-to-air backhaul links among UAVs are operated over orthogonal frequency bands.Under this setup,we aim to maximize the common(or minimum)throughput among all the ground users in the downlink of this network subject to the flow conservation constraints at the UAVs,by optimizing the UAVs’deployment locations,jointly with the bandwidth and power allocation of both the access and backhaul links.However,the common throughput maximization is a non-convex optimization problem that is difficult to be solved optimally.To tackle this issue,we use the techniques of alternating optimization and successive convex programming to obtain a locally optimal solution.Numerical results show that the proposed design significantly improves the common throughput among all ground users as compared to other benchmark schemes.
文摘Ghost imaging(GI) is a novel imaging technique that has garnered widespread attention and discussion since its inception three decades ago. To this day, ghost imaging has become an effective bridge between the advantages of quantum light sources and the field of imaging. This article begins by tracing the origin of ghost imaging and reviewing its development journey. Subsequently, we introduce some recent and important achievements and research interests of the field, which mainly include two aspects. First, we review recent works that extend GI from the intensity-only target to the complex field domain, that is, ghost holography. Using quantum correlation, traditional holographic techniques have been reproduced at the single-photon level. Second, we review the recent development of GI with the implementation of the intensified chargecoupled device(ICCD). As detection efficiency improves, ghost imaging will gradually become an important platform for studying physical mechanisms and achieving quantum advantage in imaging.
