Predator–prey interactions are fundamental to understanding ecosystem stability and biodiversity.In this study,we propose and analyze a stochastic predator–prey model that incorporates two critical ecological factor...Predator–prey interactions are fundamental to understanding ecosystem stability and biodiversity.In this study,we propose and analyze a stochastic predator–prey model that incorporates two critical ecological factors:prey refuge and harvesting.The model also integrates disease transmission within the predator population,adding an important layer of realism.Using rigorous mathematical techniques,we demonstrate the existence and uniqueness of a global positive solution,thereby confirming the model's biological feasibility.We further derive sufficient conditions for two key ecological scenarios:stochastic permanence,which ensures the sustained co-existence of prey and predators over time,and extinction,where one or both populations decline to zero.The interplay between prey refuge and harvesting is thoroughly examined to understand their combined impact on population dynamics.All theoretical results are validated by detailed numerical simulations,highlighting the applicability of the model to real-world ecological systems.From the simulation results,we observed that with an adequate level of prey refuge and predator harvesting,the susceptible predator and prey coexist with extensive oscillations,while the infected predator population was moving towards extinction.In addition,we have investigated the effect of disease transmission on system dynamics.Our results show that,as the transmission rate of disease increases,the susceptible predator approaches extinction,whereas,on the other hand,when it declines,the susceptible predator shows robust oscillations while the infected approaches extinction.In both cases,the prey population demonstrates robust stability due to the prey refuge.Our findings show that the management of harvesting and the prey refuge can be effective ecological tactics for disease control and species protection under stochastic environmental effects.展开更多
Amidst evolving user behavior driven by the development of the internet,enhancing the operational quality of trade publishing knowledge service platforms has become a significant challenge for publishing institutions....Amidst evolving user behavior driven by the development of the internet,enhancing the operational quality of trade publishing knowledge service platforms has become a significant challenge for publishing institutions.To address this issue,this paper employs a combined approach of theoretical analysis and case study,introducing the SICAS(Sense-Interest-Connection-Action-Share)user consumption behavior analysis model and selecting“CITIC Academy”as the case study subject.It systematically examines and summarizes the platform’s operational practices and specific strategies,aiming to offer strategic insights and practical references for the operational improvement and sustainable,high-quality development of trade publishing knowledge service platforms.展开更多
A stochastic epidemic model with two age groups is established in this study,in which the susceptible(S),the exposed(E),the infected(I),the hospitalized(H)and the recovered(R)are involved within the total population,t...A stochastic epidemic model with two age groups is established in this study,in which the susceptible(S),the exposed(E),the infected(I),the hospitalized(H)and the recovered(R)are involved within the total population,the aging rates between two age groups are set to be constant.The existence-and-uniqueness of global positive solution is firstly showed.Then,by constructing several appropriate Lyapunov functions and using the high-dimensional Itô’s formula,the sufficient conditions for the stochastic extinction and stochastic persistence of the exposed individuals and the infected individuals are obtained.The stochastic extinction indicator and the stochastic persistence indicator are less-valued expressions compared with the basic reproduction number.Meanwhile,the main results of this study are modified into multi-age groups.Furthermore,by using the surveillance data for Fujian Provincial Center for Disease Control and Prevention,Fuzhou COVID-19 epidemic is chosen to carry out the numerical simulations,which show that the age group of the population plays the vital role when studying infectious diseases.展开更多
To adapt to the unique demand-supply features of accessory parking lots at passenger transport hubs,a mixed parking demand assignment method based on regression modeling is proposed.First,an optimal model aiming to mi...To adapt to the unique demand-supply features of accessory parking lots at passenger transport hubs,a mixed parking demand assignment method based on regression modeling is proposed.First,an optimal model aiming to minimize total time expenditure is constructed.It incorporates parking search time,walking time,and departure time,focusing on short-term parking features.Then,the information dimensions that the parking lot can obtain are evaluated,and three assignment strategies based on three types of regression models-linear regression(LR),extreme gradient boosting(XGBoost),and multilayer perceptron(MLP)-are proposed.A parking process simulation model is built using the traffic simulation package SUMO to facilitate data collection,model training,and case studies.Finally,the performance of the three strategies is com-pared,revealing that the XGBoost-based strategy performs the best in case parking lots,which reduces time expendi-ture by 29.3%and 37.2%,respectively,compared with the MLP-based strategy and LR-based strategy.This method offers diverse options for practical parking manage-ment.展开更多
The COVID-19 pandemic posed a challenge for clinical management of a new lung disease that was characterized by inflammation,endothelial cell dysfunction,and thrombosis,which occur after the replication phase of infec...The COVID-19 pandemic posed a challenge for clinical management of a new lung disease that was characterized by inflammation,endothelial cell dysfunction,and thrombosis,which occur after the replication phase of infection of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).There are many laboratory models of active SARS-CoV-2 infection in mice,reflecting an acute lung injury in an otherwise healthy animal,but there is a lack of accurate animal models of the postviral inflammatory phase of the COVID-19 lung reflecting severe disease.The monocrotaline(MCT)-treated rat is a widely used laboratory model of pulmonary hypertension(PH).Not often discussed,however,are the observed changes in inflammation,edema,fibrosis,and microthrombosis in the lung prior to PH.At the cellular level,there is loss of pneumocytes and endotheliopathy,and at the molecular level the MCT rat lung is characterized by a proinflammatory cytokine profile,namely elevated interleukin 6,transforming growth factorβand tumor necrosis factor,M1 macrophage phenotype,and dysregulation of the angiotensin converting enzyme(ACE)/ACE2 balance.The systems-level pathophysiology of the MCT-treated rat includes progressive cardiopulmonary dysfunction.The MCT-treated rat clearly differs from the COVID-19 lung in terms of the triggers for pathology,but there are many parallels apparent in both the MCT-treated rat and the COVID-19 lung.The MCT-treated rat lung as a model of the COVID-19 lung may provide an in-depth understanding of the factors that drive the lung to more severe pathology,treatments that benefit lung recovery,or the factors that prove a useful research platform for future emerging respiratory threats of similar pathology.展开更多
This paper is devoted to investigating the spreading speed of a time-space periodic epidemic model with vital dynamics and standard incidence in discrete media. We establish the existence of the leftward and rightward...This paper is devoted to investigating the spreading speed of a time-space periodic epidemic model with vital dynamics and standard incidence in discrete media. We establish the existence of the leftward and rightward spreading speeds for the infective individuals, which can be used to estimate how fast the disease spreads. To overcome the difficulty arising from the lack of comparison principle for such time-space periodic nonmonotone systems, our proof is mainly based on constructing a series of scalar time-space periodic equations, establishing the spreading speeds for such auxiliary equations and using comparison methods. It may be the first work to study the spreading speed for time-space periodic non-monotone systems.展开更多
This paper aims to provide a window opportunity to share a reflection and learning from different countries and from other disciplines with the focus on resilience.There is also an attempt to theorize the concept of l...This paper aims to provide a window opportunity to share a reflection and learning from different countries and from other disciplines with the focus on resilience.There is also an attempt to theorize the concept of learning from spurious success and failure in the context of COVID-19.The main emphasis is to provide understanding of the causal factors and the identification of improved measures and modelling approaches to prevent and mitigate against future pandemics.Proposed decision tools of resilience and bowtie modelling as enablers for decision makers to prevent hazards and protect against their consequences.展开更多
Objective:To explore the application value of the extended nursing intervention mode in senile dementia patients.Methods:A total of 60 cases of Alzheimer’s disease patients were selected as the research subjects and ...Objective:To explore the application value of the extended nursing intervention mode in senile dementia patients.Methods:A total of 60 cases of Alzheimer’s disease patients were selected as the research subjects and divided using the random number table method into the control group and the observation group,each with 30 cases.The control group adopted conventional nursing,while the observation group adopted the extended nursing model of this study.The self-care ability,quality of life,cognitive function,and the frequency of unsafe behaviors were compared between the two groups.Results:After 6 months of intervention,the results showed that the scores of all dimensions in the relevant data tables such as the activity of daily living(ADL)scale,simple intelligence scale,and health survey scale in the observation group were higher than those in the control group,and the differences were statistically significant(P<0.05).The incidence of unsafe behaviors in the observation group was lower than that in the control group,and the difference was statistically significant(χ^(2)=5.963,P<0.05).Conclusion:Extended nursing plays a positive role in the nursing of Alzheimer’s patients,including improving their cognitive function and restoring their self-care ability,so as to significantly improve their quality of life and reduce the occurrence of unsafe behaviors.It can be seen that the extended nursing intervention mode can be vigorously promoted in clinical practice.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.32271554)the Guangdong Basic and Applied Basic Research Foundation(Grant No.2023A1515011501)。
文摘Predator–prey interactions are fundamental to understanding ecosystem stability and biodiversity.In this study,we propose and analyze a stochastic predator–prey model that incorporates two critical ecological factors:prey refuge and harvesting.The model also integrates disease transmission within the predator population,adding an important layer of realism.Using rigorous mathematical techniques,we demonstrate the existence and uniqueness of a global positive solution,thereby confirming the model's biological feasibility.We further derive sufficient conditions for two key ecological scenarios:stochastic permanence,which ensures the sustained co-existence of prey and predators over time,and extinction,where one or both populations decline to zero.The interplay between prey refuge and harvesting is thoroughly examined to understand their combined impact on population dynamics.All theoretical results are validated by detailed numerical simulations,highlighting the applicability of the model to real-world ecological systems.From the simulation results,we observed that with an adequate level of prey refuge and predator harvesting,the susceptible predator and prey coexist with extensive oscillations,while the infected predator population was moving towards extinction.In addition,we have investigated the effect of disease transmission on system dynamics.Our results show that,as the transmission rate of disease increases,the susceptible predator approaches extinction,whereas,on the other hand,when it declines,the susceptible predator shows robust oscillations while the infected approaches extinction.In both cases,the prey population demonstrates robust stability due to the prey refuge.Our findings show that the management of harvesting and the prey refuge can be effective ecological tactics for disease control and species protection under stochastic environmental effects.
文摘Amidst evolving user behavior driven by the development of the internet,enhancing the operational quality of trade publishing knowledge service platforms has become a significant challenge for publishing institutions.To address this issue,this paper employs a combined approach of theoretical analysis and case study,introducing the SICAS(Sense-Interest-Connection-Action-Share)user consumption behavior analysis model and selecting“CITIC Academy”as the case study subject.It systematically examines and summarizes the platform’s operational practices and specific strategies,aiming to offer strategic insights and practical references for the operational improvement and sustainable,high-quality development of trade publishing knowledge service platforms.
基金Supported by National Natural Science Foundation of China(61911530398,12231012)Consultancy Project by the Chinese Academy of Engineering(2022-JB-06,2023-JB-12)+3 种基金the Natural Science Foundation of Fujian Province of China(2021J01621)Special Projects of the Central Government Guiding Local Science and Technology Development(2021L3018)Royal Society of Edinburgh(RSE1832)Engineering and Physical Sciences Research Council(EP/W522521/1).
文摘A stochastic epidemic model with two age groups is established in this study,in which the susceptible(S),the exposed(E),the infected(I),the hospitalized(H)and the recovered(R)are involved within the total population,the aging rates between two age groups are set to be constant.The existence-and-uniqueness of global positive solution is firstly showed.Then,by constructing several appropriate Lyapunov functions and using the high-dimensional Itô’s formula,the sufficient conditions for the stochastic extinction and stochastic persistence of the exposed individuals and the infected individuals are obtained.The stochastic extinction indicator and the stochastic persistence indicator are less-valued expressions compared with the basic reproduction number.Meanwhile,the main results of this study are modified into multi-age groups.Furthermore,by using the surveillance data for Fujian Provincial Center for Disease Control and Prevention,Fuzhou COVID-19 epidemic is chosen to carry out the numerical simulations,which show that the age group of the population plays the vital role when studying infectious diseases.
基金The National Natural Science Foundation of China(No.52302388)the Natural Science Foundation of Jiangsu Province(No.BK20230853).
文摘To adapt to the unique demand-supply features of accessory parking lots at passenger transport hubs,a mixed parking demand assignment method based on regression modeling is proposed.First,an optimal model aiming to minimize total time expenditure is constructed.It incorporates parking search time,walking time,and departure time,focusing on short-term parking features.Then,the information dimensions that the parking lot can obtain are evaluated,and three assignment strategies based on three types of regression models-linear regression(LR),extreme gradient boosting(XGBoost),and multilayer perceptron(MLP)-are proposed.A parking process simulation model is built using the traffic simulation package SUMO to facilitate data collection,model training,and case studies.Finally,the performance of the three strategies is com-pared,revealing that the XGBoost-based strategy performs the best in case parking lots,which reduces time expendi-ture by 29.3%and 37.2%,respectively,compared with the MLP-based strategy and LR-based strategy.This method offers diverse options for practical parking manage-ment.
基金College of Medicine and Public Health,MD,Advanced Studies ProgramAustralian National Health and Medical Research Council(NHMRC),Grant/Award Number:GNT2003683。
文摘The COVID-19 pandemic posed a challenge for clinical management of a new lung disease that was characterized by inflammation,endothelial cell dysfunction,and thrombosis,which occur after the replication phase of infection of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).There are many laboratory models of active SARS-CoV-2 infection in mice,reflecting an acute lung injury in an otherwise healthy animal,but there is a lack of accurate animal models of the postviral inflammatory phase of the COVID-19 lung reflecting severe disease.The monocrotaline(MCT)-treated rat is a widely used laboratory model of pulmonary hypertension(PH).Not often discussed,however,are the observed changes in inflammation,edema,fibrosis,and microthrombosis in the lung prior to PH.At the cellular level,there is loss of pneumocytes and endotheliopathy,and at the molecular level the MCT rat lung is characterized by a proinflammatory cytokine profile,namely elevated interleukin 6,transforming growth factorβand tumor necrosis factor,M1 macrophage phenotype,and dysregulation of the angiotensin converting enzyme(ACE)/ACE2 balance.The systems-level pathophysiology of the MCT-treated rat includes progressive cardiopulmonary dysfunction.The MCT-treated rat clearly differs from the COVID-19 lung in terms of the triggers for pathology,but there are many parallels apparent in both the MCT-treated rat and the COVID-19 lung.The MCT-treated rat lung as a model of the COVID-19 lung may provide an in-depth understanding of the factors that drive the lung to more severe pathology,treatments that benefit lung recovery,or the factors that prove a useful research platform for future emerging respiratory threats of similar pathology.
基金supported by the Natural Science Basic Research Program of Shanxi(Grant No.2024JC-YBMS-025)the Innovation Capability Support Program of Shanxi(Grant No.2024RS-CXTD-88)。
文摘This paper is devoted to investigating the spreading speed of a time-space periodic epidemic model with vital dynamics and standard incidence in discrete media. We establish the existence of the leftward and rightward spreading speeds for the infective individuals, which can be used to estimate how fast the disease spreads. To overcome the difficulty arising from the lack of comparison principle for such time-space periodic nonmonotone systems, our proof is mainly based on constructing a series of scalar time-space periodic equations, establishing the spreading speeds for such auxiliary equations and using comparison methods. It may be the first work to study the spreading speed for time-space periodic non-monotone systems.
基金supported by the project“Societal and Economic Resilience within multi-hazards environment in Romania”funded by European Union-Next generation EU and Romanian Government,under National Recovery and Resilience Plan for Romania,contract no.760050/23.05.2023,cod PNRR-C9-I8-CF 267/29.11.2022through the Romanian Ministry of Research,Innovation and Digitalization,within Component 9,Investment I8.
文摘This paper aims to provide a window opportunity to share a reflection and learning from different countries and from other disciplines with the focus on resilience.There is also an attempt to theorize the concept of learning from spurious success and failure in the context of COVID-19.The main emphasis is to provide understanding of the causal factors and the identification of improved measures and modelling approaches to prevent and mitigate against future pandemics.Proposed decision tools of resilience and bowtie modelling as enablers for decision makers to prevent hazards and protect against their consequences.
文摘Objective:To explore the application value of the extended nursing intervention mode in senile dementia patients.Methods:A total of 60 cases of Alzheimer’s disease patients were selected as the research subjects and divided using the random number table method into the control group and the observation group,each with 30 cases.The control group adopted conventional nursing,while the observation group adopted the extended nursing model of this study.The self-care ability,quality of life,cognitive function,and the frequency of unsafe behaviors were compared between the two groups.Results:After 6 months of intervention,the results showed that the scores of all dimensions in the relevant data tables such as the activity of daily living(ADL)scale,simple intelligence scale,and health survey scale in the observation group were higher than those in the control group,and the differences were statistically significant(P<0.05).The incidence of unsafe behaviors in the observation group was lower than that in the control group,and the difference was statistically significant(χ^(2)=5.963,P<0.05).Conclusion:Extended nursing plays a positive role in the nursing of Alzheimer’s patients,including improving their cognitive function and restoring their self-care ability,so as to significantly improve their quality of life and reduce the occurrence of unsafe behaviors.It can be seen that the extended nursing intervention mode can be vigorously promoted in clinical practice.
