Chronic rhinosinusitis(CRS)is a persistent inflammatory condition affecting the mucosa of nasal cavity and paranasal sinus,often stemming from untreated or recurrent acute sinusitis.Asthma is characterized by airway i...Chronic rhinosinusitis(CRS)is a persistent inflammatory condition affecting the mucosa of nasal cavity and paranasal sinus,often stemming from untreated or recurrent acute sinusitis.Asthma is characterized by airway inflammation,intermittent bronchospasm,and symptoms such as wheezing and dyspnea.These two conditions frequently coexist,sharing overlapping pathogenic mechanisms and inflammatory pathways.Gastroesophageal reflux disease(GERD),a condition where stomach contents reflux into the esophagus,is another prevalent comorbidity associated with asthma and CRS.Notably,GERD is more common in CRS patients,suggesting the intricate and potentially bidirectional relationship among CRS,asthma,and GERD.Despite this complexity,a comprehensive understanding of these interconnections remains elusive in the literature.This review synthesizes findings from the past decade,focusing on the epidemiology,pathophysiology,and comorbidity mechanisms linking these three conditions.By addressing current knowledge gaps,it aims to provide insights into their shared mechanisms and implications for integrated clinical management.展开更多
Background:The pathogenesis of allergic asthma is classically understood to involve allergens crosslinking Immunoglobulin E(IgE)bound to mast cells,leading to the release of histamine and other inflammatory mediators....Background:The pathogenesis of allergic asthma is classically understood to involve allergens crosslinking Immunoglobulin E(IgE)bound to mast cells,leading to the release of histamine and other inflammatory mediators.Objective:This study aims to explore whether different allergens have distinct IgE-dependent mechanisms in mouse models of both asthma and anaphylaxis.Methods:Wild type(WT)and IgE knockout(IgE KO)mice were used to generate asthma mouse models.Lung inflammation was assessed by histological analysis and inflammatory cells in Bronchial Alveolar Lavage Fluids(BALF).Passive Cutaneous Anaphylaxis(PCA)was conducted to quantify IgE,and Toluidine Blue staining was used to visualize mast cell recruitment.Results:All allergen-treated mice exhibited significant airway inflammation.Compared to WT mice,HDM-treated IgE KO mice showed an attenuated inflammatory profile,particularly with reduced eosinophils.These mice had lower serum levels of HDM-specific IgE and IgG1 as well as reduced levels of Th2 cytokines interleukin 4(IL-4)and IL-5 in BALF.CRE-treated IgE KO mice also displayed a reduced inflammation,with significant differences only in eosinophils.Interestingly,no significant differences in airway inflammation were observed between OVA-treated IgE KO mice and WT mice.Furthermore,both HDM and CRE-induced PCA model showed significantly less Evan’s blue dye leakage and mast cell recruitment in the ears of IgE KO mice compared to WT mice,with no differences for OVA-induced PCA and mast cell recruitment.Conclusion:The results highlight the variability in IgE pathway dependence among different allergens,emphasizing the need for further research to delineate the underlying mechanisms.展开更多
BACKGROUND The relationship between diabetes mellitus(DM)and asthma is complex and can impact disease trajectories.AIM To explore the bidirectional influences between the two conditions on clinical outcomes and diseas...BACKGROUND The relationship between diabetes mellitus(DM)and asthma is complex and can impact disease trajectories.AIM To explore the bidirectional influences between the two conditions on clinical outcomes and disease control.METHODS We systematically reviewed the literature on the relationship between DM and asthma,focusing on their impacts,mechanisms,and therapeutic implications.Various studies were assessed,which investigated the effect of glycemic control on asthma outcomes,lung function,and exacerbations.The study highlighted the role of specific diabetes medications in managing asthma.RESULTS The results showed that poor glycemic control in diabetes can exacerbate asthma,increase hospitalizations,and reduce lung function.Conversely,severe asthma,especially in obese individuals,can complicate diabetes management and make glycemic control more difficult.The diabetes-associated mechanisms,such as inflammation,microangiopathy,and oxidative stress,can exacerbate asthma and decrease lung function.Some diabetes medications exhibit anti-inflammatory effects that show promise in mitigating asthma exacerbations.CONCLUSION The complex interrelationship between diabetes and asthma suggests bidirectional influences that affect disease course and outcomes.Inflammation and microvascular complications associated with diabetes may worsen asthma outcomes,while asthma severity,especially in obese individuals,complicates diabetes control.However,the current research has limitations,and more diverse longitudinal studies are required to establish causal relationships and identify effective treatment strategies for individuals with both conditions.展开更多
Trochoidal milling is known for its advantages in machining difficult-to-machine materials as it facilitates chip removal and tool cooling.However,the conventional trochoidal tool path presents challenges such as lowe...Trochoidal milling is known for its advantages in machining difficult-to-machine materials as it facilitates chip removal and tool cooling.However,the conventional trochoidal tool path presents challenges such as lower machining efficiency and longer machining time due to its time-varying cutter-workpiece engagement angle and a high percentage of non-cutting tool paths.To address these issues,this paper introduces a parameter-variant trochoidal-like(PVTR)tool path planning method for chatter-free and high-efficiency milling.This method ensures a constant engagement angle for each tool path period by adjusting the trochoidal radius and step.Initially,the nonlinear equation for the PVTR toolpath is established.Then,a segmented recurrence method is proposed to plan tool paths based on the desired engagement angle.The impact of trochoidal tool path parameters on the engagement angle is analyzed and coupled this information with the milling stability model based on spindle speed and engagement angle to determine the desired engagement angle throughout the machining process.Finally,several experimental tests are carried out using the bull-nose end mill to validate the feasibility and effectiveness of the proposed method.展开更多
The global demand for effective skin injury treatments has prompted the exploration of tissue engineering solutions.While three-dimensional(3D)bioprinting has shown promise,challenges persist with respect to achieving...The global demand for effective skin injury treatments has prompted the exploration of tissue engineering solutions.While three-dimensional(3D)bioprinting has shown promise,challenges persist with respect to achieving timely and compatible solutions to treat diverse skin injuries.In situ bioprinting has emerged as a key new technology,since it reduces risks during the implantation of printed scaffolds and demonstrates superior therapeutic effects.However,maintaining printing fidelity during in situ bioprinting remains a critical challenge,particularly with respect to model layering and path planning.This study proposes a novel optimization-based conformal path planning strategy for in situ bioprinting-based repair of complex skin injuries.This strategy employs constrained optimization to identify optimal waypoints on a point cloud-approximated curved surface,thereby ensuring a high degree of similarity between predesigned planar and surface-mapped 3D paths.Furthermore,this method is applicable for skin wound treatments,since it generates 3D-equidistant zigzag curves along surface tangents and enables multi-layer conformal path planning to facilitate the treatment of volumetric injuries.Furthermore,the proposed algorithm was found to be a feasible and effective treatment in a murine back injury model as well as in other complex models,thereby showcasing its potential to guide in situ bioprinting,enhance bioprinting fidelity,and facilitate improvement of clinical outcomes.展开更多
With the rapid development of artificial intelligence(AI)technology,the teaching mode in the field of education is undergoing profound changes.Especially the design and implementation of personalized learning paths ha...With the rapid development of artificial intelligence(AI)technology,the teaching mode in the field of education is undergoing profound changes.Especially the design and implementation of personalized learning paths have become an important direction of intelligent teaching reform.The traditional“one-size-fits-all”teaching model has gradually failed to meet the individualized learning needs of students.However,through the advantages of data analysis and real-time feedback,AI technology can provide tailor-made teaching content and learning paths based on students’learning progress,interests,and abilities.This study explores the innovation of the personalized learning path model based on AI technology,and analyzes the potential and challenges of this model in improving teaching effectiveness,promoting the all-round development of students,and optimizing the interaction between teachers and students.Through case analysis and empirical research,this paper summarizes the implementation methods of the AI-driven personalized learning path,the innovation of teaching models,and their application prospects in educational reform.Meanwhile,the research also discussed the ethical issues of AI technology in education,data privacy protection,and its impact on the teacher-student relationship,and proposed corresponding solutions.展开更多
To improve the efficiency and accuracy of path planning for fan inspection tasks in thermal power plants,this paper proposes an intelligent inspection robot path planning scheme based on an improved A^(*)algorithm.The...To improve the efficiency and accuracy of path planning for fan inspection tasks in thermal power plants,this paper proposes an intelligent inspection robot path planning scheme based on an improved A^(*)algorithm.The inspection robot utilizes multiple sensors to monitor key parameters of the fans,such as vibration,noise,and bearing temperature,and upload the data to the monitoring center.The robot’s inspection path employs the improved A^(*)algorithm,incorporating obstacle penalty terms,path reconstruction,and smoothing optimization techniques,thereby achieving optimal path planning for the inspection robot in complex environments.Simulation results demonstrate that the improved A^(*)algorithm significantly outperforms the traditional A^(*)algorithm in terms of total path distance,smoothness,and detour rate,effectively improving the execution efficiency of inspection tasks.展开更多
In disaster relief operations,multiple UAVs can be used to search for trapped people.In recent years,many researchers have proposed machine le arning-based algorithms,sampling-based algorithms,and heuristic algorithms...In disaster relief operations,multiple UAVs can be used to search for trapped people.In recent years,many researchers have proposed machine le arning-based algorithms,sampling-based algorithms,and heuristic algorithms to solve the problem of multi-UAV path planning.The Dung Beetle Optimization(DBO)algorithm has been widely applied due to its diverse search patterns in the above algorithms.However,the update strategies for the rolling and thieving dung beetles of the DBO algorithm are overly simplistic,potentially leading to an inability to fully explore the search space and a tendency to converge to local optima,thereby not guaranteeing the discovery of the optimal path.To address these issues,we propose an improved DBO algorithm guided by the Landmark Operator(LODBO).Specifically,we first use tent mapping to update the population strategy,which enables the algorithm to generate initial solutions with enhanced diversity within the search space.Second,we expand the search range of the rolling ball dung beetle by using the landmark factor.Finally,by using the adaptive factor that changes with the number of iterations.,we improve the global search ability of the stealing dung beetle,making it more likely to escape from local optima.To verify the effectiveness of the proposed method,extensive simulation experiments are conducted,and the result shows that the LODBO algorithm can obtain the optimal path using the shortest time compared with the Genetic Algorithm(GA),the Gray Wolf Optimizer(GWO),the Whale Optimization Algorithm(WOA)and the original DBO algorithm in the disaster search and rescue task set.展开更多
The global incidence of asthma,a leading respiratory disorder affecting more than 235 million people,has dramatically increased in recent years.Characterized by chronic airway inflammation and an imbalanced response t...The global incidence of asthma,a leading respiratory disorder affecting more than 235 million people,has dramatically increased in recent years.Characterized by chronic airway inflammation and an imbalanced response to airborne irritants,this chronic condition is associated with elevated levels of inflammatory factors and symptoms such as dyspnea,cough,wheezing,and chest tightness.Conventional asthma therapies,such as corticosteroids,long-actingβ-agonists,and antiinflammatory agents,often evoke diverse adverse reactions and fail to reduce symptoms and hospitalization rates over the long term effectively.These limitations have prompted researchers to explore innovative therapeutic strategies,including stem cell-related interventions,offering hope to those afflicted with this incurable disease.In this review,we describe the characteristics of stem cells and critically assess the potential and challenges of stem cell-based therapies to improve disease management and treatment outcomes for asthma and other diseases.展开更多
Unmanned aerial vehicles(UAVs)are widely used in situations with uncertain and risky areas lacking network coverage.In natural disasters,timely delivery of first aid supplies is crucial.Current UAVs face risks such as...Unmanned aerial vehicles(UAVs)are widely used in situations with uncertain and risky areas lacking network coverage.In natural disasters,timely delivery of first aid supplies is crucial.Current UAVs face risks such as crashing into birds or unexpected structures.Airdrop systems with parachutes risk dispersing payloads away from target locations.The objective here is to use multiple UAVs to distribute payloads cooperatively to assigned locations.The civil defense department must balance coverage,accurate landing,and flight safety while considering battery power and capability.Deep Q-network(DQN)models are commonly used in multi-UAV path planning to effectively represent the surroundings and action spaces.Earlier strategies focused on advanced DQNs for UAV path planning in different configurations,but rarely addressed non-cooperative scenarios and disaster environments.This paper introduces a new DQN framework to tackle challenges in disaster environments.It considers unforeseen structures and birds that could cause UAV crashes and assumes urgent landing zones and winch-based airdrop systems for precise delivery and return.A new DQN model is developed,which incorporates the battery life,safe flying distance between UAVs,and remaining delivery points to encode surrounding hazards into the state space and Q-networks.Additionally,a unique reward system is created to improve UAV action sequences for better delivery coverage and safe landings.The experimental results demonstrate that multi-UAV first aid delivery in disaster environments can achieve advanced performance.展开更多
This study investigates the mechanical response of an underground cavern subjected to cyclic high gas pressure,aiming to establish a theoretical foundation for the design of lined rock caverns(LRCs)for energy storage ...This study investigates the mechanical response of an underground cavern subjected to cyclic high gas pressure,aiming to establish a theoretical foundation for the design of lined rock caverns(LRCs)for energy storage with high internal pressure,e.g.compressed air energy storage(CAES)underground caverns or hydrogen storage caverns.Initially,the stress paths of the surrounding rock during the excavation,pressurization,and depressurization processes are delineated.Analytical expressions for the stress and deformation of the surrounding rock are derived based on the MohreCoulomb criterion.These expressions are then employed to evaluate the displacement of cavern walls under varying qualities of surrounding rock,the contact pressure between the steel lining and the surrounding rock subject to different gas storage pressures,the load-bearing ratio of the surrounding rock,and the impact of lining thickness on the critical gas pressure.Furthermore,the deformation paths of the surrounding rock are evaluated,along with the effects of tunnel depth and diameter on residual deformation of the surrounding rock,and the critical minimum gas pressure at which the surrounding rock and the lining do not detach.The results indicate that residual deformation of the surrounding rock occurs after depressurization under higher internal pressure for higher-quality rock masses,leading to detachment between the surrounding rock and the steel lining.The findings indicate that thicker linings correspond to higher critical minimum gas pressures.However,for lower-quality surrounding rock,thicker linings correspond to lower critical minimum gas pressures.These findings will provide invaluable insights for the design of LRCs for underground energy storage caverns.展开更多
Small modular reactor(SMR)belongs to the research forefront of nuclear reactor technology.Nowadays,advancement of intelligent control technologies paves a new way to the design and build of unmanned SMR.The autonomous...Small modular reactor(SMR)belongs to the research forefront of nuclear reactor technology.Nowadays,advancement of intelligent control technologies paves a new way to the design and build of unmanned SMR.The autonomous control process of SMR can be divided into three stages,say,state diagnosis,autonomous decision-making and coordinated control.In this paper,the autonomous state recognition and task planning of unmanned SMR are investigated.An operating condition recognition method based on the knowledge base of SMR operation is proposed by using the artificial neural network(ANN)technology,which constructs a basis for the state judgment of intelligent reactor control path planning.An improved reinforcement learning path planning algorithm is utilized to implement the path transfer decision-makingThis algorithm performs condition transitions with minimal cost under specified modes.In summary,the full range control path intelligent decision-planning technology of SMR is realized,thus provides some theoretical basis for the design and build of unmanned SMR in the future.展开更多
The operating environment of the diesel engine air path system is complex and may be affected by external random disturbances.Potentially leading to faults.This paper addresses the fault-tolerant control problem of th...The operating environment of the diesel engine air path system is complex and may be affected by external random disturbances.Potentially leading to faults.This paper addresses the fault-tolerant control problem of the diesel engine air path system,assuming that the system may simultaneously be affected by actuator faults and external random disturbances,a disturbance observer-based sliding mode controller is designed.Through the linear matrix inequality technique for solving observer and controller gains,optimal gain matrices can be obtained,eliminating the manual adjustment process of controller parameters and reducing the chattering phenomenon of the sliding mode surface.Finally,the effectiveness of the proposed method is verified through simulation analysis.展开更多
Bronchial asthma is divided into type 2 and non-type 2 asthma based on the immunopathogenesis.Type 2 inflammation is an inflammation mediated by T helper 2 cells,group 2 innate lymphoid cells and sustained by a specif...Bronchial asthma is divided into type 2 and non-type 2 asthma based on the immunopathogenesis.Type 2 inflammation is an inflammation mediated by T helper 2 cells,group 2 innate lymphoid cells and sustained by a specific subset of cytokines.In recent years,type 2 asthma has become the research hotspot in the field of asthma.For type 2 asthma,targeted therapies have become effective treatments and widely used in clinical practice.In order to further understand the progress of biologic drugs for bronchial asthma,as well as the disease outcomes in patients with type 2 asthma,and improve asthma control and remission,this article reviewed the progress and achievements of biologic drugs for asthma from May 1,2023 to April 30,2024,providing clinical perspective for the choosing appropriate targeted treatment of asthma.It also highlights selected poster pre-sentations from the ATS 2024 Annual Meeting to provide clinical insights for choosing appropriate targeted treatments for Type 2 asthma.展开更多
In 2012, Ponraj et al. defined a concept of k-product cordial labeling as follows: Let f be a map from V(G)to { 0,1,⋯,k−1 }where k is an integer, 1≤k≤| V(G) |. For each edge uvassign the label f(u)f(v)(modk). f is c...In 2012, Ponraj et al. defined a concept of k-product cordial labeling as follows: Let f be a map from V(G)to { 0,1,⋯,k−1 }where k is an integer, 1≤k≤| V(G) |. For each edge uvassign the label f(u)f(v)(modk). f is called a k-product cordial labeling if | vf(i)−vf(j) |≤1, and | ef(i)−ef(j) |≤1, i,j∈{ 0,1,⋯,k−1 }, where vf(x)and ef(x)denote the number of vertices and edges respectively labeled with x (x=0,1,⋯,k−1). Motivated by this concept, we further studied and established that several families of graphs admit k-product cordial labeling. In this paper, we show that the path graphs Pnadmit k-product cordial labeling.展开更多
This paper, an addendum to “Dialectical Thermodynamics’ solution to the conceptual imbroglio that is the reversible path”, this journal, 10, 775-799, was written in response to the requests of several readers to pr...This paper, an addendum to “Dialectical Thermodynamics’ solution to the conceptual imbroglio that is the reversible path”, this journal, 10, 775-799, was written in response to the requests of several readers to provide further evidence of the said “imbroglio”. The evidence here presented relates to the incompatibility existing between the total-entropy and the Gibbs energy prescriptions for the reversible path. The previously published proof of the negentropic nature of the transformation of heat into work is here included to validate out conclusions about the Gibbs energy perspective.展开更多
Background:To appraise the ameliorative potentials of Allium sativum aqueous extract in ovalbumin(OVA)-lipopolysaccharide(LPS)-induced asthma.Methods:Extraction,phytochemical analysis,determination of bioactive compou...Background:To appraise the ameliorative potentials of Allium sativum aqueous extract in ovalbumin(OVA)-lipopolysaccharide(LPS)-induced asthma.Methods:Extraction,phytochemical analysis,determination of bioactive compounds and LD50 study of aqueous extract of A.sativum were achieved using standard biochemical methods.Twenty-four(24)male Wistar rats averagely weighing between 168–255 g were grouped into four of six animals in each steel-metal cage.Groups 1 and 2 served as normal and positive groups respectively.Rats in groups 2–4 were sensitized and challenged with a combination of OVA and LPS.Groups 3 and 4 were administered 250 and 500 mg/kg b.w of aqueous extract of A.sativum respectively for two weeks.The effect of aqueous extracts of A.sativum in OVA and LPS-induced asthma on alterations in differential white blood cells,inflammatory cytokines,some serum biochemical as well as histological indicators of experimental rats were assessed.Results:The aqueous extract of 600 g of plant material yielded 74.1 g accounting for 11.9%of sample material used.The result of the Phytochemical analysis showed higher number of glycosides,flavonoids and phenols.The animals displayed zero behavioral adverse reaction when administered the aqueous extract up to the highest dose of 5,000 mg/kg b.w.Administrations of aqueous extract of A.sativum remarkably(P<0.05;95%confidence intervals CI)declined the levels of neutrophils,eosinophils and total white blood cell count as opposed to the untreated group.Levels of interleukin 4(IL-4),interleukin 5(IL-5),interleukin 13(IL-13)and immunoglobulin E(IgE)of groups 3 and 4 had a significant(P<0.05;95%CI)varying percentage reduction(IL-4=39.78%,49.51%;IL-5=34.66%,40.05%;IL-13=31.96%,30.81%;33.45%,21.38%)respectively in comparison to group 2(untreated).The result showed a significantly(P<0.05,95%CI)declined malonaldehyde(MDA)concentration and elevated catalase,decreased glutathione concentration and superoxide dismutase activity of the treatment groups compared to the untreated.Serum liver function enzymes including alkaline phosphatase,alanine transaminase,and aspartate transaminase in the groups receiving aqueous extract of A.sativum exhibited a significant(P<0.05;95%CI)reduction in levels compared to group 2(untreated).Conclusion:Findings from this study indicated that aqueous extracts of A.sativum have the potential to improve asthma symptoms by decreasing inflammatory cytokines and mitigating oxidative stress.This effect could enhance the efficacy of conventional treatments such as inhaled corticosteroids,including cortisone,hydrocortisone,dexamethasone,and prednisone,as well as bronchodilators,leukotriene modifiers,and biologic therapies.Further studies need to be carried out on human subjects and also expanded to other respiratory disorders like Chronic obstructive pulmonary disease and Coronavirus Disease 2019.展开更多
A three-dimensional path-planning approach has been developed to coordinate multiple fixed-wing unmanned aerial vehicles(UAVs)while avoiding collisions.The hierarchical path-planning architecture that divides the path...A three-dimensional path-planning approach has been developed to coordinate multiple fixed-wing unmanned aerial vehicles(UAVs)while avoiding collisions.The hierarchical path-planning architecture that divides the path-planning process into two layers is proposed by designing the velocityobstacle strategy for satisfying timeliness and effectiveness.The upper-level layer focuses on creating an efficient Dubins initial path considering the dynamic constraints of the fixed wing.Subsequently,the lower-level layer detects potential collisions and adjusts its flight paths to avoid collisions by using the threedimensional velocity obstacle method,which describes the maneuvering space of collision avoidance as the intersection space of half space.To further handle the dynamic and collisionavoidance constraints,a priority mechanism is designed to ensure that the adjusted path is still feasible for fixed-wing UAVs.Simulation experiments demonstrate the effectiveness of the proposed method.展开更多
An efficient algorithm for path planning is crucial for guiding autonomous surface vehicles(ASVs)through designated waypoints.However,current evaluations of ASV path planning mainly focus on comparing total path lengt...An efficient algorithm for path planning is crucial for guiding autonomous surface vehicles(ASVs)through designated waypoints.However,current evaluations of ASV path planning mainly focus on comparing total path lengths,using temporal models to estimate travel time,idealized integration of global and local motion planners,and omission of external environmental disturbances.These rudimentary criteria cannot adequately capture real-world operations.To address these shortcomings,this study introduces a simulation framework for evaluating navigation modules designed for ASVs.The proposed framework is implemented on a prototype ASV using the Robot Operating System(ROS)and the Gazebo simulation platform.The implementation processes replicated satellite images with the extended Kalman filter technique to acquire localized location data.Cost minimization for global trajectories is achieved through the application of Dijkstra and A*algorithms,while local obstacle avoidance is managed by the dynamic window approach algorithm.The results demonstrate the distinctions and intricacies of the metrics provided by the proposed simulation framework compared with the rudimentary criteria commonly utilized in conventional path planning works.展开更多
基金supported by the Jiangsu Province Excellent Postdoctoral Program[2023ZB410]of China.
文摘Chronic rhinosinusitis(CRS)is a persistent inflammatory condition affecting the mucosa of nasal cavity and paranasal sinus,often stemming from untreated or recurrent acute sinusitis.Asthma is characterized by airway inflammation,intermittent bronchospasm,and symptoms such as wheezing and dyspnea.These two conditions frequently coexist,sharing overlapping pathogenic mechanisms and inflammatory pathways.Gastroesophageal reflux disease(GERD),a condition where stomach contents reflux into the esophagus,is another prevalent comorbidity associated with asthma and CRS.Notably,GERD is more common in CRS patients,suggesting the intricate and potentially bidirectional relationship among CRS,asthma,and GERD.Despite this complexity,a comprehensive understanding of these interconnections remains elusive in the literature.This review synthesizes findings from the past decade,focusing on the epidemiology,pathophysiology,and comorbidity mechanisms linking these three conditions.By addressing current knowledge gaps,it aims to provide insights into their shared mechanisms and implications for integrated clinical management.
文摘Background:The pathogenesis of allergic asthma is classically understood to involve allergens crosslinking Immunoglobulin E(IgE)bound to mast cells,leading to the release of histamine and other inflammatory mediators.Objective:This study aims to explore whether different allergens have distinct IgE-dependent mechanisms in mouse models of both asthma and anaphylaxis.Methods:Wild type(WT)and IgE knockout(IgE KO)mice were used to generate asthma mouse models.Lung inflammation was assessed by histological analysis and inflammatory cells in Bronchial Alveolar Lavage Fluids(BALF).Passive Cutaneous Anaphylaxis(PCA)was conducted to quantify IgE,and Toluidine Blue staining was used to visualize mast cell recruitment.Results:All allergen-treated mice exhibited significant airway inflammation.Compared to WT mice,HDM-treated IgE KO mice showed an attenuated inflammatory profile,particularly with reduced eosinophils.These mice had lower serum levels of HDM-specific IgE and IgG1 as well as reduced levels of Th2 cytokines interleukin 4(IL-4)and IL-5 in BALF.CRE-treated IgE KO mice also displayed a reduced inflammation,with significant differences only in eosinophils.Interestingly,no significant differences in airway inflammation were observed between OVA-treated IgE KO mice and WT mice.Furthermore,both HDM and CRE-induced PCA model showed significantly less Evan’s blue dye leakage and mast cell recruitment in the ears of IgE KO mice compared to WT mice,with no differences for OVA-induced PCA and mast cell recruitment.Conclusion:The results highlight the variability in IgE pathway dependence among different allergens,emphasizing the need for further research to delineate the underlying mechanisms.
文摘BACKGROUND The relationship between diabetes mellitus(DM)and asthma is complex and can impact disease trajectories.AIM To explore the bidirectional influences between the two conditions on clinical outcomes and disease control.METHODS We systematically reviewed the literature on the relationship between DM and asthma,focusing on their impacts,mechanisms,and therapeutic implications.Various studies were assessed,which investigated the effect of glycemic control on asthma outcomes,lung function,and exacerbations.The study highlighted the role of specific diabetes medications in managing asthma.RESULTS The results showed that poor glycemic control in diabetes can exacerbate asthma,increase hospitalizations,and reduce lung function.Conversely,severe asthma,especially in obese individuals,can complicate diabetes management and make glycemic control more difficult.The diabetes-associated mechanisms,such as inflammation,microangiopathy,and oxidative stress,can exacerbate asthma and decrease lung function.Some diabetes medications exhibit anti-inflammatory effects that show promise in mitigating asthma exacerbations.CONCLUSION The complex interrelationship between diabetes and asthma suggests bidirectional influences that affect disease course and outcomes.Inflammation and microvascular complications associated with diabetes may worsen asthma outcomes,while asthma severity,especially in obese individuals,complicates diabetes control.However,the current research has limitations,and more diverse longitudinal studies are required to establish causal relationships and identify effective treatment strategies for individuals with both conditions.
基金supported by the National Natural Science Foundation of China(Grant Nos.U22A20202 and 52275477).
文摘Trochoidal milling is known for its advantages in machining difficult-to-machine materials as it facilitates chip removal and tool cooling.However,the conventional trochoidal tool path presents challenges such as lower machining efficiency and longer machining time due to its time-varying cutter-workpiece engagement angle and a high percentage of non-cutting tool paths.To address these issues,this paper introduces a parameter-variant trochoidal-like(PVTR)tool path planning method for chatter-free and high-efficiency milling.This method ensures a constant engagement angle for each tool path period by adjusting the trochoidal radius and step.Initially,the nonlinear equation for the PVTR toolpath is established.Then,a segmented recurrence method is proposed to plan tool paths based on the desired engagement angle.The impact of trochoidal tool path parameters on the engagement angle is analyzed and coupled this information with the milling stability model based on spindle speed and engagement angle to determine the desired engagement angle throughout the machining process.Finally,several experimental tests are carried out using the bull-nose end mill to validate the feasibility and effectiveness of the proposed method.
基金supported in part by the National Natural Science Foundation of China(Nos.52205532 and 624B2077)the National Key Research and Development Program of China(No.2023YFB4302003).
文摘The global demand for effective skin injury treatments has prompted the exploration of tissue engineering solutions.While three-dimensional(3D)bioprinting has shown promise,challenges persist with respect to achieving timely and compatible solutions to treat diverse skin injuries.In situ bioprinting has emerged as a key new technology,since it reduces risks during the implantation of printed scaffolds and demonstrates superior therapeutic effects.However,maintaining printing fidelity during in situ bioprinting remains a critical challenge,particularly with respect to model layering and path planning.This study proposes a novel optimization-based conformal path planning strategy for in situ bioprinting-based repair of complex skin injuries.This strategy employs constrained optimization to identify optimal waypoints on a point cloud-approximated curved surface,thereby ensuring a high degree of similarity between predesigned planar and surface-mapped 3D paths.Furthermore,this method is applicable for skin wound treatments,since it generates 3D-equidistant zigzag curves along surface tangents and enables multi-layer conformal path planning to facilitate the treatment of volumetric injuries.Furthermore,the proposed algorithm was found to be a feasible and effective treatment in a murine back injury model as well as in other complex models,thereby showcasing its potential to guide in situ bioprinting,enhance bioprinting fidelity,and facilitate improvement of clinical outcomes.
基金The 2024 Guangdong University of Science and Technology Teaching,Science and Innovation Project(GKJXXZ2024028)。
文摘With the rapid development of artificial intelligence(AI)technology,the teaching mode in the field of education is undergoing profound changes.Especially the design and implementation of personalized learning paths have become an important direction of intelligent teaching reform.The traditional“one-size-fits-all”teaching model has gradually failed to meet the individualized learning needs of students.However,through the advantages of data analysis and real-time feedback,AI technology can provide tailor-made teaching content and learning paths based on students’learning progress,interests,and abilities.This study explores the innovation of the personalized learning path model based on AI technology,and analyzes the potential and challenges of this model in improving teaching effectiveness,promoting the all-round development of students,and optimizing the interaction between teachers and students.Through case analysis and empirical research,this paper summarizes the implementation methods of the AI-driven personalized learning path,the innovation of teaching models,and their application prospects in educational reform.Meanwhile,the research also discussed the ethical issues of AI technology in education,data privacy protection,and its impact on the teacher-student relationship,and proposed corresponding solutions.
文摘To improve the efficiency and accuracy of path planning for fan inspection tasks in thermal power plants,this paper proposes an intelligent inspection robot path planning scheme based on an improved A^(*)algorithm.The inspection robot utilizes multiple sensors to monitor key parameters of the fans,such as vibration,noise,and bearing temperature,and upload the data to the monitoring center.The robot’s inspection path employs the improved A^(*)algorithm,incorporating obstacle penalty terms,path reconstruction,and smoothing optimization techniques,thereby achieving optimal path planning for the inspection robot in complex environments.Simulation results demonstrate that the improved A^(*)algorithm significantly outperforms the traditional A^(*)algorithm in terms of total path distance,smoothness,and detour rate,effectively improving the execution efficiency of inspection tasks.
基金supported by the National Natural Science Foundation of China(No.62373027).
文摘In disaster relief operations,multiple UAVs can be used to search for trapped people.In recent years,many researchers have proposed machine le arning-based algorithms,sampling-based algorithms,and heuristic algorithms to solve the problem of multi-UAV path planning.The Dung Beetle Optimization(DBO)algorithm has been widely applied due to its diverse search patterns in the above algorithms.However,the update strategies for the rolling and thieving dung beetles of the DBO algorithm are overly simplistic,potentially leading to an inability to fully explore the search space and a tendency to converge to local optima,thereby not guaranteeing the discovery of the optimal path.To address these issues,we propose an improved DBO algorithm guided by the Landmark Operator(LODBO).Specifically,we first use tent mapping to update the population strategy,which enables the algorithm to generate initial solutions with enhanced diversity within the search space.Second,we expand the search range of the rolling ball dung beetle by using the landmark factor.Finally,by using the adaptive factor that changes with the number of iterations.,we improve the global search ability of the stealing dung beetle,making it more likely to escape from local optima.To verify the effectiveness of the proposed method,extensive simulation experiments are conducted,and the result shows that the LODBO algorithm can obtain the optimal path using the shortest time compared with the Genetic Algorithm(GA),the Gray Wolf Optimizer(GWO),the Whale Optimization Algorithm(WOA)and the original DBO algorithm in the disaster search and rescue task set.
基金the Joint Innovation Project Funds of Huaqiao University,No.2022YX001.
文摘The global incidence of asthma,a leading respiratory disorder affecting more than 235 million people,has dramatically increased in recent years.Characterized by chronic airway inflammation and an imbalanced response to airborne irritants,this chronic condition is associated with elevated levels of inflammatory factors and symptoms such as dyspnea,cough,wheezing,and chest tightness.Conventional asthma therapies,such as corticosteroids,long-actingβ-agonists,and antiinflammatory agents,often evoke diverse adverse reactions and fail to reduce symptoms and hospitalization rates over the long term effectively.These limitations have prompted researchers to explore innovative therapeutic strategies,including stem cell-related interventions,offering hope to those afflicted with this incurable disease.In this review,we describe the characteristics of stem cells and critically assess the potential and challenges of stem cell-based therapies to improve disease management and treatment outcomes for asthma and other diseases.
基金supported by the Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan under Grant No.249015/0224.
文摘Unmanned aerial vehicles(UAVs)are widely used in situations with uncertain and risky areas lacking network coverage.In natural disasters,timely delivery of first aid supplies is crucial.Current UAVs face risks such as crashing into birds or unexpected structures.Airdrop systems with parachutes risk dispersing payloads away from target locations.The objective here is to use multiple UAVs to distribute payloads cooperatively to assigned locations.The civil defense department must balance coverage,accurate landing,and flight safety while considering battery power and capability.Deep Q-network(DQN)models are commonly used in multi-UAV path planning to effectively represent the surroundings and action spaces.Earlier strategies focused on advanced DQNs for UAV path planning in different configurations,but rarely addressed non-cooperative scenarios and disaster environments.This paper introduces a new DQN framework to tackle challenges in disaster environments.It considers unforeseen structures and birds that could cause UAV crashes and assumes urgent landing zones and winch-based airdrop systems for precise delivery and return.A new DQN model is developed,which incorporates the battery life,safe flying distance between UAVs,and remaining delivery points to encode surrounding hazards into the state space and Q-networks.Additionally,a unique reward system is created to improve UAV action sequences for better delivery coverage and safe landings.The experimental results demonstrate that multi-UAV first aid delivery in disaster environments can achieve advanced performance.
基金supported by the State Key Laboratory of Disaster Reduction in Civil Engineering(Grant No.SLDRCE23-02)Ningbo PublicWelfare Fund Project(Grant No.2023S100)the National Key Research and Development Program of China(Grant No.2024YFE0105800).
文摘This study investigates the mechanical response of an underground cavern subjected to cyclic high gas pressure,aiming to establish a theoretical foundation for the design of lined rock caverns(LRCs)for energy storage with high internal pressure,e.g.compressed air energy storage(CAES)underground caverns or hydrogen storage caverns.Initially,the stress paths of the surrounding rock during the excavation,pressurization,and depressurization processes are delineated.Analytical expressions for the stress and deformation of the surrounding rock are derived based on the MohreCoulomb criterion.These expressions are then employed to evaluate the displacement of cavern walls under varying qualities of surrounding rock,the contact pressure between the steel lining and the surrounding rock subject to different gas storage pressures,the load-bearing ratio of the surrounding rock,and the impact of lining thickness on the critical gas pressure.Furthermore,the deformation paths of the surrounding rock are evaluated,along with the effects of tunnel depth and diameter on residual deformation of the surrounding rock,and the critical minimum gas pressure at which the surrounding rock and the lining do not detach.The results indicate that residual deformation of the surrounding rock occurs after depressurization under higher internal pressure for higher-quality rock masses,leading to detachment between the surrounding rock and the steel lining.The findings indicate that thicker linings correspond to higher critical minimum gas pressures.However,for lower-quality surrounding rock,thicker linings correspond to lower critical minimum gas pressures.These findings will provide invaluable insights for the design of LRCs for underground energy storage caverns.
文摘Small modular reactor(SMR)belongs to the research forefront of nuclear reactor technology.Nowadays,advancement of intelligent control technologies paves a new way to the design and build of unmanned SMR.The autonomous control process of SMR can be divided into three stages,say,state diagnosis,autonomous decision-making and coordinated control.In this paper,the autonomous state recognition and task planning of unmanned SMR are investigated.An operating condition recognition method based on the knowledge base of SMR operation is proposed by using the artificial neural network(ANN)technology,which constructs a basis for the state judgment of intelligent reactor control path planning.An improved reinforcement learning path planning algorithm is utilized to implement the path transfer decision-makingThis algorithm performs condition transitions with minimal cost under specified modes.In summary,the full range control path intelligent decision-planning technology of SMR is realized,thus provides some theoretical basis for the design and build of unmanned SMR in the future.
基金Supported by the National Key R&D Program of China(2021YFB2011300)the National Natural Science Foundation of China(52275044,52205299)+1 种基金the Zhejiang Provincial Natural Science Foundation of China(Z23E050032)the China Postdoctoral Science Foundation(2022M710304).
文摘The operating environment of the diesel engine air path system is complex and may be affected by external random disturbances.Potentially leading to faults.This paper addresses the fault-tolerant control problem of the diesel engine air path system,assuming that the system may simultaneously be affected by actuator faults and external random disturbances,a disturbance observer-based sliding mode controller is designed.Through the linear matrix inequality technique for solving observer and controller gains,optimal gain matrices can be obtained,eliminating the manual adjustment process of controller parameters and reducing the chattering phenomenon of the sliding mode surface.Finally,the effectiveness of the proposed method is verified through simulation analysis.
基金supported by Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences(2021-I2M-1-049)Noncommunicable Chronic Diseases-National Science and Technology Major Project(2024ZD0529800).
文摘Bronchial asthma is divided into type 2 and non-type 2 asthma based on the immunopathogenesis.Type 2 inflammation is an inflammation mediated by T helper 2 cells,group 2 innate lymphoid cells and sustained by a specific subset of cytokines.In recent years,type 2 asthma has become the research hotspot in the field of asthma.For type 2 asthma,targeted therapies have become effective treatments and widely used in clinical practice.In order to further understand the progress of biologic drugs for bronchial asthma,as well as the disease outcomes in patients with type 2 asthma,and improve asthma control and remission,this article reviewed the progress and achievements of biologic drugs for asthma from May 1,2023 to April 30,2024,providing clinical perspective for the choosing appropriate targeted treatment of asthma.It also highlights selected poster pre-sentations from the ATS 2024 Annual Meeting to provide clinical insights for choosing appropriate targeted treatments for Type 2 asthma.
文摘In 2012, Ponraj et al. defined a concept of k-product cordial labeling as follows: Let f be a map from V(G)to { 0,1,⋯,k−1 }where k is an integer, 1≤k≤| V(G) |. For each edge uvassign the label f(u)f(v)(modk). f is called a k-product cordial labeling if | vf(i)−vf(j) |≤1, and | ef(i)−ef(j) |≤1, i,j∈{ 0,1,⋯,k−1 }, where vf(x)and ef(x)denote the number of vertices and edges respectively labeled with x (x=0,1,⋯,k−1). Motivated by this concept, we further studied and established that several families of graphs admit k-product cordial labeling. In this paper, we show that the path graphs Pnadmit k-product cordial labeling.
文摘This paper, an addendum to “Dialectical Thermodynamics’ solution to the conceptual imbroglio that is the reversible path”, this journal, 10, 775-799, was written in response to the requests of several readers to provide further evidence of the said “imbroglio”. The evidence here presented relates to the incompatibility existing between the total-entropy and the Gibbs energy prescriptions for the reversible path. The previously published proof of the negentropic nature of the transformation of heat into work is here included to validate out conclusions about the Gibbs energy perspective.
文摘Background:To appraise the ameliorative potentials of Allium sativum aqueous extract in ovalbumin(OVA)-lipopolysaccharide(LPS)-induced asthma.Methods:Extraction,phytochemical analysis,determination of bioactive compounds and LD50 study of aqueous extract of A.sativum were achieved using standard biochemical methods.Twenty-four(24)male Wistar rats averagely weighing between 168–255 g were grouped into four of six animals in each steel-metal cage.Groups 1 and 2 served as normal and positive groups respectively.Rats in groups 2–4 were sensitized and challenged with a combination of OVA and LPS.Groups 3 and 4 were administered 250 and 500 mg/kg b.w of aqueous extract of A.sativum respectively for two weeks.The effect of aqueous extracts of A.sativum in OVA and LPS-induced asthma on alterations in differential white blood cells,inflammatory cytokines,some serum biochemical as well as histological indicators of experimental rats were assessed.Results:The aqueous extract of 600 g of plant material yielded 74.1 g accounting for 11.9%of sample material used.The result of the Phytochemical analysis showed higher number of glycosides,flavonoids and phenols.The animals displayed zero behavioral adverse reaction when administered the aqueous extract up to the highest dose of 5,000 mg/kg b.w.Administrations of aqueous extract of A.sativum remarkably(P<0.05;95%confidence intervals CI)declined the levels of neutrophils,eosinophils and total white blood cell count as opposed to the untreated group.Levels of interleukin 4(IL-4),interleukin 5(IL-5),interleukin 13(IL-13)and immunoglobulin E(IgE)of groups 3 and 4 had a significant(P<0.05;95%CI)varying percentage reduction(IL-4=39.78%,49.51%;IL-5=34.66%,40.05%;IL-13=31.96%,30.81%;33.45%,21.38%)respectively in comparison to group 2(untreated).The result showed a significantly(P<0.05,95%CI)declined malonaldehyde(MDA)concentration and elevated catalase,decreased glutathione concentration and superoxide dismutase activity of the treatment groups compared to the untreated.Serum liver function enzymes including alkaline phosphatase,alanine transaminase,and aspartate transaminase in the groups receiving aqueous extract of A.sativum exhibited a significant(P<0.05;95%CI)reduction in levels compared to group 2(untreated).Conclusion:Findings from this study indicated that aqueous extracts of A.sativum have the potential to improve asthma symptoms by decreasing inflammatory cytokines and mitigating oxidative stress.This effect could enhance the efficacy of conventional treatments such as inhaled corticosteroids,including cortisone,hydrocortisone,dexamethasone,and prednisone,as well as bronchodilators,leukotriene modifiers,and biologic therapies.Further studies need to be carried out on human subjects and also expanded to other respiratory disorders like Chronic obstructive pulmonary disease and Coronavirus Disease 2019.
基金supported by the National Science Fund for Distinguished Young Scholars(52425211)BIT Research Fund Program for Young Scholars(XSQD-202201005).
文摘A three-dimensional path-planning approach has been developed to coordinate multiple fixed-wing unmanned aerial vehicles(UAVs)while avoiding collisions.The hierarchical path-planning architecture that divides the path-planning process into two layers is proposed by designing the velocityobstacle strategy for satisfying timeliness and effectiveness.The upper-level layer focuses on creating an efficient Dubins initial path considering the dynamic constraints of the fixed wing.Subsequently,the lower-level layer detects potential collisions and adjusts its flight paths to avoid collisions by using the threedimensional velocity obstacle method,which describes the maneuvering space of collision avoidance as the intersection space of half space.To further handle the dynamic and collisionavoidance constraints,a priority mechanism is designed to ensure that the adjusted path is still feasible for fixed-wing UAVs.Simulation experiments demonstrate the effectiveness of the proposed method.
基金Supported by the funding from RMIT Internal Research Grant R1.
文摘An efficient algorithm for path planning is crucial for guiding autonomous surface vehicles(ASVs)through designated waypoints.However,current evaluations of ASV path planning mainly focus on comparing total path lengths,using temporal models to estimate travel time,idealized integration of global and local motion planners,and omission of external environmental disturbances.These rudimentary criteria cannot adequately capture real-world operations.To address these shortcomings,this study introduces a simulation framework for evaluating navigation modules designed for ASVs.The proposed framework is implemented on a prototype ASV using the Robot Operating System(ROS)and the Gazebo simulation platform.The implementation processes replicated satellite images with the extended Kalman filter technique to acquire localized location data.Cost minimization for global trajectories is achieved through the application of Dijkstra and A*algorithms,while local obstacle avoidance is managed by the dynamic window approach algorithm.The results demonstrate the distinctions and intricacies of the metrics provided by the proposed simulation framework compared with the rudimentary criteria commonly utilized in conventional path planning works.
