In this paper,a two-stage light detection and ranging(LiDAR) three-dimensional(3D) object detection framework is presented,namely point-voxel dual transformer(PV-DT3D),which is a transformer-based method.In the propos...In this paper,a two-stage light detection and ranging(LiDAR) three-dimensional(3D) object detection framework is presented,namely point-voxel dual transformer(PV-DT3D),which is a transformer-based method.In the proposed PV-DT3D,point-voxel fusion features are used for proposal refinement.Specifically,keypoints are sampled from entire point cloud scene and used to encode representative scene features via a proposal-aware voxel set abstraction module.Subsequently,following the generation of proposals by the region proposal networks(RPN),the internal encoded keypoints are fed into the dual transformer encoder-decoder architecture.In 3D object detection,the proposed PV-DT3D takes advantage of both point-wise transformer and channel-wise architecture to capture contextual information from the spatial and channel dimensions.Experiments conducted on the highly competitive KITTI 3D car detection leaderboard show that the PV-DT3D achieves superior detection accuracy among state-of-the-art point-voxel-based methods.展开更多
As emerging pollutants,microplastics have recently received considerable attention owing to detection in various organisms and environments.Mass production and widespread use of plastic products increase their potenti...As emerging pollutants,microplastics have recently received considerable attention owing to detection in various organisms and environments.Mass production and widespread use of plastic products increase their potential risks to humans owing to their persistent,mobile,and toxic properties.Numerous methods have been used to identify and quantify the various forms of microplastics,however,unified standards do not exist.In this review,we systematically summarize the sources,migration,transformation,and analytical methods for microplastics in diverse ecosystems,particularly the most recent sampling and identification techniques.Additionally,the environmental effects and health hazards of microplastics on aquatic and terrestrial systems,as well as human beings are discussed.We also present management strategies for reducing microplastics in a broader social and policy context.This review aims to provide an overview of the migration,transformation,sampling,analysis,and environmental effects of microplastics,which addresses knowledge gaps in microplastic pollution and provides proposals for key research gaps.展开更多
Graduate students universally struggle with vague topics,insufficient innovation,and logical gaps in research proposals,highlighting the need for structured scientific training.This study presents an innovative pedago...Graduate students universally struggle with vague topics,insufficient innovation,and logical gaps in research proposals,highlighting the need for structured scientific training.This study presents an innovative pedagogical model embedding scholarly literature’s logical architecture into LBL-RBL hybrid teaching,implemented in Kunming Medical University’s Neuropathophysiology course.Targeting the complexity of neurological disease mechanisms,the course integrates lecture-based learning(LBL)and research-based learning(RBL)through a small-cohort framework featuring personalized literature-logic embedding→targeted lecture reinforcement→multi-round proposal iteration.Faculty deconstructed domain literature to establish a three-phase training system(“Logic Demonstration-Methodology Mapping-Proposal Embedding”),systematically merging academic logic with research methodology over 9 weeks.Results demonstrate that this problem-driven approach creates authentic scientific inquiry scenarios,activating student knowledge co-construction and collaborative exploration.It successfully enables dynamic competency progression through“cognitive deconstruction→methodological practice→proposal refinement,”significantly enhancing proposal rigor and innovation.This study offers a scalable dual-track solution for cultivating advanced scientific capabilities in medical graduate education.展开更多
BACKGROUND Diabetes mellitus has become one of the major pandemics of the 21st century.In this scenario,nursing interventions are essential for improving self-care and quality of life in patients with type 2 diabetes ...BACKGROUND Diabetes mellitus has become one of the major pandemics of the 21st century.In this scenario,nursing interventions are essential for improving self-care and quality of life in patients with type 2 diabetes mellitus.Nursing interventions are crucial for managing the disease and preventing complications.AIM To analyse nursing interventions in recent years through a systematic review and meta-analysis and to propose improvements in care plans.METHODS This study conducted a systematic review and meta-analysis of the impact of nursing interventions on quantitative glycaemic variables,such as glycated haemoglobin and fasting plasma glucose.RESULTS After confirming that the combined effect of all studies from the past 5 years positively impacts quantitative variables,a descriptive analysis of the studies with the most significant changes was conducted.Based on this,an improvement in diabetic patient care protocols has been proposed through follow-up plans tailored to the patient’s technological skills.CONCLUSION The combined results obtained and the proposal for improvement developed in this manuscript could help to improve the quality of life of many people around the world.展开更多
Referring expression comprehension(REC)aims to locate a specific region in an image described by a natural language.Existing two-stage methods generate multiple candidate proposals in the first stage,followed by selec...Referring expression comprehension(REC)aims to locate a specific region in an image described by a natural language.Existing two-stage methods generate multiple candidate proposals in the first stage,followed by selecting one of these proposals as the grounding result in the second stage.Nevertheless,the number of candidate proposals generated in the first stage significantly exceeds ground truth and the recall of critical objects is inadequate,thereby enormously limiting the overall network performance.To address the above issues,the authors propose an innovative method termed Separate Non-Maximum Suppression(Sep-NMS)for two-stage REC.Particularly,Sep-NMS models information from the two stages independently and collaboratively,ultimately achieving an overall improvement in comprehension and identification of the target objects.Specifically,the authors propose a Ref-Relatedness module for filtering referent proposals rigorously,decreasing the redundancy of referent proposals.A CLIP†Relatedness module based on robust multimodal pre-trained encoders is built to precisely assess the relevance between language and proposals to improve the recall of critical objects.It is worth mentioning that the authors are the pioneers in utilising a multimodal pre-training model for proposal filtering in the first stage.Moreover,an Information Fusion module is designed to effectively amalgamate the multimodal information across two stages,ensuring maximum uti-lisation of the available information.Extensive experiments demonstrate that the approach achieves competitive performance with previous state-of-the-art methods.The datasets used are publicly available:RefCOCO,RefCOCO+:https://doi.org/10.1007/978-3-319-46475-6_5 and RefCOCOg:https://doi.org/10.1109/CVPR.2016.9.展开更多
The international order and global system are undergoing complex and profound changes nowadays.Unparalleled transformations in the world,the speed at which they happen,and the course of history are unfolding in unprec...The international order and global system are undergoing complex and profound changes nowadays.Unparalleled transformations in the world,the speed at which they happen,and the course of history are unfolding in unprecedented ways,ushering in a new period of turbulence and transition.Geopolitical and geo-economic competition among major powers is intensifying;global economic growth remains sluggish;crises and conflicts continue to emerge;and both regional and global peace and security are repeatedly challenged.展开更多
Electrical and thermal transport at two-dimensional(2D) interfaces is critical for semiconductor technology, yet their interplay remains unclear. We report a theoretical proposal to separate electronic and phononic co...Electrical and thermal transport at two-dimensional(2D) interfaces is critical for semiconductor technology, yet their interplay remains unclear. We report a theoretical proposal to separate electronic and phononic contributions to thermal conductance at 2D interfaces with graphene, which is validated by non-equilibrium Green's function calculations and molecular dynamics simulations for graphene–gold contacts. Our results reveal that while metal–graphene interfaces are transparent for both electrons and phonons, non-covalent graphene interfaces block electronic tunneling beyond two layers but not phonon transport. This suggests that the Wiedemann–Franz law can be experimentally tested by measuring transport across interfaces with varying graphene layers.展开更多
This work aimed to construct an epidemic model with fuzzy parameters.Since the classical epidemic model doesnot elaborate on the successful interaction of susceptible and infective people,the constructed fuzzy epidemi...This work aimed to construct an epidemic model with fuzzy parameters.Since the classical epidemic model doesnot elaborate on the successful interaction of susceptible and infective people,the constructed fuzzy epidemicmodel discusses the more detailed versions of the interactions between infective and susceptible people.Thenext-generation matrix approach is employed to find the reproduction number of a deterministic model.Thesensitivity analysis and local stability analysis of the systemare also provided.For solving the fuzzy epidemic model,a numerical scheme is constructed which consists of three time levels.The numerical scheme has an advantage overthe existing forward Euler scheme for determining the conditions of getting the positive solution.The establishedscheme also has an advantage over existing non-standard finite difference methods in terms of order of accuracy.The stability of the scheme for the considered fuzzy model is also provided.From the plotted results,it can beobserved that susceptible people decay by rising interaction parameters.展开更多
Multidisciplinary and interprofessional collaboration among medical staff is an effective way to reduce the incidence and complication of complex diseases and improve the quality of life.Therefore,it is very important...Multidisciplinary and interprofessional collaboration among medical staff is an effective way to reduce the incidence and complication of complex diseases and improve the quality of life.Therefore,it is very important to carry out interdisciplinary cooperative learning for nursing students in the education stage.This paper expounds the current situation of cross-disciplinary nursing education at home and abroad from the aspects of preparation and influencing factors of cross-disciplinary cooperative learning,teacher team building,teaching content and teaching methods,implementation time and place,in order to put forward suggestions for carrying out cross-disciplinary cooperative learning in college courses,and provide reference for many educators to carry out cross-disciplinary education and improve the comprehensive ability of nursing students.展开更多
This study focuses on the urgent requirement for improved accuracy in diseasemodeling by introducing a newcomputational framework called the Hybrid SIR-Fuzzy Model.By integrating the traditional Susceptible-Infectious...This study focuses on the urgent requirement for improved accuracy in diseasemodeling by introducing a newcomputational framework called the Hybrid SIR-Fuzzy Model.By integrating the traditional Susceptible-Infectious-Recovered(SIR)modelwith fuzzy logic,ourmethod effectively addresses the complex nature of epidemic dynamics by accurately accounting for uncertainties and imprecisions in both data and model parameters.The main aim of this research is to provide a model for disease transmission using fuzzy theory,which can successfully address uncertainty in mathematical modeling.Our main emphasis is on the imprecise transmission rate parameter,utilizing a three-part description of its membership level.This enhances the representation of disease processes with greater complexity and tackles the difficulties related to quantifying uncertainty in mathematical models.We investigate equilibrium points for three separate scenarios and perform a comprehensive sensitivity analysis,providing insight into the complex correlation betweenmodel parameters and epidemic results.In order to facilitate a quantitative analysis of the fuzzy model,we propose the implementation of a resilient numerical scheme.The convergence study of the scheme demonstrates its trustworthiness,providing a conditionally positive solution,which represents a significant improvement compared to current forward Euler schemes.The numerical findings demonstrate themodel’s effectiveness in accurately representing the dynamics of disease transmission.Significantly,when the mortality coefficient rises,both the susceptible and infected populations decrease,highlighting the model’s sensitivity to important epidemiological factors.Moreover,there is a direct relationship between higher Holling type rate values and a decrease in the number of individuals who are infected,as well as an increase in the number of susceptible individuals.This correlation offers a significant understanding of how many elements affect the consequences of an epidemic.Our objective is to enhance decision-making in public health by providing a thorough quantitative analysis of the Hybrid SIR-Fuzzy Model.Our approach not only tackles the existing constraints in disease modeling,but also paves the way for additional investigation,providing a vital instrument for researchers and policymakers alike.展开更多
Circular economics theory offers destination managers of remote islands a solution-oriented approach to environmental sustainability. This paper examines the practical benefits of this theory that will support the dev...Circular economics theory offers destination managers of remote islands a solution-oriented approach to environmental sustainability. This paper examines the practical benefits of this theory that will support the development of a circular economy regarding sustainable island tourism (SIT). The aim of this paper is to inform discussions regarding the feasibility of applying a practice theory that emphasises changes in the behaviours across three segments, visitors, residents, and enterprises using SMART technologies. To achieve this objective, a SMART indicator system (SIS) was used to identify current practices that would support a circular economy (CE). The key innovation of this study is the creation of a proposed framework that may inform best practices for SIT in the future. The findings highlight the potential opportunity of evidenced-based planning to deliver a circular economy strategy (CES) for remote islands in the future. These insights can potentially impact the way that local authorities and destination managers approach the planning of tourism for six islands along the west coast of Ireland.展开更多
Background:The global impact of the highly contagious COVID-19 virus has created unprecedented challenges,significantly impacting public health and economies worldwide.This research article conducts a time series anal...Background:The global impact of the highly contagious COVID-19 virus has created unprecedented challenges,significantly impacting public health and economies worldwide.This research article conducts a time series analysis of COVID-19 data across various countries,including India,Brazil,Russia,and the United States,with a particular emphasis on total confirmed cases.Methods:The proposed approach combines auto-regressive integrated moving average(ARIMA)'s ability to capture linear trends and seasonality with long short-term memory(LSTM)networks,which are designed to learn complex nonlinear dependencies in the data.This hybrid approach surpasses both individual models and existing ARIMA-artificial neural network(ANN)hybrids,which often struggle with highly nonlinear time series like COVID-19 data.By integrating ARIMA and LSTM,the model aims to achieve superior forecasting accuracy compared to baseline models,including ARIMA,Gated Recurrent Unit(GRU),LSTM,and Prophet.Results:The hybrid ARIMA-LSTM model outperformed the benchmark models,achieving a mean absolute percentage error(MAPE)score of 2.4%.Among the benchmark models,GRU performed the best with a MAPE score of 2.9%,followed by LSTM with a score of 3.6%.Conclusions:The proposed ARIMA-LSTM hybrid model outperforms ARIMA,GRU,LSTM,Prophet,and the ARIMA-ANN hybrid model when evaluating using metrics like MAPE,symmetric mean absolute percentage error,and median absolute percentage error across all countries analyzed.These findings have the potential to significantly improve preparedness and response efforts by public health authorities,allowing for more efficient resource allocation and targeted interventions.展开更多
The China-proposed global initiatives are"not only a very good solution to our world's problems,but also an expression of traditional Chinese culture,noted Australian sinologist Colin Mackerras at the ongoing...The China-proposed global initiatives are"not only a very good solution to our world's problems,but also an expression of traditional Chinese culture,noted Australian sinologist Colin Mackerras at the ongoing Second World Conference of Sinologists.展开更多
Applied Immobilized algae bacteria (ABI) to remove ammonia of freshwater aquaculture wastewater. Temperature (T),PH,light intensity (I),dissolved oxygen (DO) and filling rate five factors plays important role in the p...Applied Immobilized algae bacteria (ABI) to remove ammonia of freshwater aquaculture wastewater. Temperature (T),PH,light intensity (I),dissolved oxygen (DO) and filling rate five factors plays important role in the process of ammonia nitrogen removal ,related data between ammonia removal and five factors was received through multi-factor orthogonal test,and established relations model between the five factor and nitrogen removal. The results show that five-factors had significant effect on AR,and the best combinations for removing AR was temperature 30 ℃,pH=7.0,light intensity 6 000 lux,dissolved oxygen 5.0 mg/L and the fill rate 10%. According to the experimental data,equation model was proposed and coefficient of determination R2 =0.864 8,P<0.05. Samples T-test was done between the model predictions and the actual measured values.Test results showed that the significant difference of overall mean value sig. (2-tailed) was 0.978 (P>0.05),it Shows that had no significant difference between model predictions and the actual measured value,and model had a high degree of fitting.展开更多
[Objective] This paper analyzed present status of broomcorn millet produc- tion in China, including cultivation methods, fertilization utilization, diseases, insect pests and disasters, machinery development, planting...[Objective] This paper analyzed present status of broomcorn millet produc- tion in China, including cultivation methods, fertilization utilization, diseases, insect pests and disasters, machinery development, planting benefit and other aspects. [Method] The corn millet data reported by China Industrial and Technological Re- search System of Millet in 2011 were analyzed by descriptive statistical analysis of EXCEL. [Result] The results show that 17 678.57 kg/ha of farm manure, 155.77 kg/ha of urea, 259.5 kg/ha of compound fertilizer, 203.13 kg/ha of phosphate fertilizer and 75 kg/ha of potash fertilizer were used in China; the national mechanization degree of broomcorn millet production is lower than 30% in all; the average income of broomcorn millet production is 10 503.33 yuan/ha, and the VCR is 2.64; most broomcorn millet producing areas are affected by mild pests and diseases, very few are affected by mild and moderate pests and diseases, and the impact of natural disasters is the lightest. [~onclusien] Currently fertilizer utilization for broomcorn millet is proper but the mechanization level and planting benefit are low, natural disasters, pests and diseases are not severe; finally the authors proposed some suggestions on the fertilizer utilization, mechanization production, benefit increasing, disaster warning, disease and insect controlling and government policy-making for broomcorn millet production.展开更多
[Objective] The aims were to explore the relationship between the contents of fruit mineral elements and quality features of the ＇Fuji＇ apple, screen major mineral elements of the fruit affecting fruit quality featu...[Objective] The aims were to explore the relationship between the contents of fruit mineral elements and quality features of the ＇Fuji＇ apple, screen major mineral elements of the fruit affecting fruit quality features, and set up optimum proposals of fruit mineral elements for good fruit qualities, so as to provide a theoretical basis for the reasonable orchard soil and foliar fertilizer applications to increase fruit quality and reduce the physiological diseases related to the ＇Fuji＇ apple. [Methods] The fruit mineral elements and quality indicators of ＇Fuji＂ apples were in- vestigated and analyzed, which were collected from the 153 commercial apple or- chards of ＂Fuji＇ apple located in 51 counties. The variable importance for projection （VlP） of partial least squares regression （PLS） method was used to analyze the model effect and weight analysis impact of the fruit mineral element contents to fruit quality, screen out major factors of fruit mineral elements influencing the different fruit qualities, and set up the regression equation of the fruit qualities and major fruit mineral elements. Linear programming was used to obtain optimum proposals of the fruit mineral elements to achieve good ＇Fuji＇ apple qualities. [Results] The mineral elements content and quality characteristics in ＂Fuji＇ apple fruit had great differences in the different produce regions in which the maximum content of nitro- gen, iron, zinc and boron in the ＇Fuji＇ fruit were12.06, 6.17, 7.7, and 10.08 times greater than the minimum respectively, and the differences for titratable acid and the SSC/TA ratio were 2.33 and 2.16 times respectively. The correlation analysis between the fruit mineral element contents and qualities showed that the nitrogen content of fruit had a significantly negative correlation with the soluble solid content, SSC/TA ratio and red color area, while the calcium and iron contents in the fruit were in significantly positive correlation with the soluble solid content and SSC/TA ratio. The model effect and weight analysis showed that the content of nitrogen and iron in the fruit had a greater influence on the integral fruit quality, followed by phosphorus, potassium and calcium. The variable importance for projection （VlP） technology of PLS found that the mean fruit weight was primarily affected by nitro- gen, phosphorus and potassium, and the soluble solid was primarily affected by ni- trogen, calcium and iron, while the red color area was primarily affected by nitro- gen, potassium, calcium, iron and zinc. The regression equation between fruit quality and mineral element contents showed that the mean fruit weight had a greater pos- itive effect coefficient with the content of phosphorus and potassium, and a greater negative effect coefficient with the content of nitrogen in the fruit. Moreover, the sol- uble solid had the largest negative effect coefficient with nitrogen and largest posi- tive effect coefficient with calcium and iron in the fruit. [Conclusion] The maximum content of soluble solid and titratable acid were 1.5 times more than the minimum, and nitrogen, iron, zinc and boron were 6 times more than in the ＇Fuji＇ apple fruit in the different produce regions. Therefore, it is a key technological measure to improve the overall qualities of the ＂Fuji＇ apple by decreasing the content of nitrogen, and increasing the contents of iron, phosphorus, potassium and calcium in the fruit.展开更多
基金supported by the Natural Science Foundation of China (No.62103298)the South African National Research Foundation (Nos.132797 and 137951)。
文摘In this paper,a two-stage light detection and ranging(LiDAR) three-dimensional(3D) object detection framework is presented,namely point-voxel dual transformer(PV-DT3D),which is a transformer-based method.In the proposed PV-DT3D,point-voxel fusion features are used for proposal refinement.Specifically,keypoints are sampled from entire point cloud scene and used to encode representative scene features via a proposal-aware voxel set abstraction module.Subsequently,following the generation of proposals by the region proposal networks(RPN),the internal encoded keypoints are fed into the dual transformer encoder-decoder architecture.In 3D object detection,the proposed PV-DT3D takes advantage of both point-wise transformer and channel-wise architecture to capture contextual information from the spatial and channel dimensions.Experiments conducted on the highly competitive KITTI 3D car detection leaderboard show that the PV-DT3D achieves superior detection accuracy among state-of-the-art point-voxel-based methods.
基金supported by the National Natural Science Foundation of China(Nos.21906179 and 22074098)Sichuan Science and Technology Program(No.2021ZYD0047)the Fundamental Research Funds for the Central Universities.
文摘As emerging pollutants,microplastics have recently received considerable attention owing to detection in various organisms and environments.Mass production and widespread use of plastic products increase their potential risks to humans owing to their persistent,mobile,and toxic properties.Numerous methods have been used to identify and quantify the various forms of microplastics,however,unified standards do not exist.In this review,we systematically summarize the sources,migration,transformation,and analytical methods for microplastics in diverse ecosystems,particularly the most recent sampling and identification techniques.Additionally,the environmental effects and health hazards of microplastics on aquatic and terrestrial systems,as well as human beings are discussed.We also present management strategies for reducing microplastics in a broader social and policy context.This review aims to provide an overview of the migration,transformation,sampling,analysis,and environmental effects of microplastics,which addresses knowledge gaps in microplastic pollution and provides proposals for key research gaps.
基金The Educational Research Project of Kunming Medical University(2023-JY-Y-024 and 2022-JY-Y-011)Special Research Project for Introduced Talent of Kunming Medical University(J13395001)。
文摘Graduate students universally struggle with vague topics,insufficient innovation,and logical gaps in research proposals,highlighting the need for structured scientific training.This study presents an innovative pedagogical model embedding scholarly literature’s logical architecture into LBL-RBL hybrid teaching,implemented in Kunming Medical University’s Neuropathophysiology course.Targeting the complexity of neurological disease mechanisms,the course integrates lecture-based learning(LBL)and research-based learning(RBL)through a small-cohort framework featuring personalized literature-logic embedding→targeted lecture reinforcement→multi-round proposal iteration.Faculty deconstructed domain literature to establish a three-phase training system(“Logic Demonstration-Methodology Mapping-Proposal Embedding”),systematically merging academic logic with research methodology over 9 weeks.Results demonstrate that this problem-driven approach creates authentic scientific inquiry scenarios,activating student knowledge co-construction and collaborative exploration.It successfully enables dynamic competency progression through“cognitive deconstruction→methodological practice→proposal refinement,”significantly enhancing proposal rigor and innovation.This study offers a scalable dual-track solution for cultivating advanced scientific capabilities in medical graduate education.
文摘BACKGROUND Diabetes mellitus has become one of the major pandemics of the 21st century.In this scenario,nursing interventions are essential for improving self-care and quality of life in patients with type 2 diabetes mellitus.Nursing interventions are crucial for managing the disease and preventing complications.AIM To analyse nursing interventions in recent years through a systematic review and meta-analysis and to propose improvements in care plans.METHODS This study conducted a systematic review and meta-analysis of the impact of nursing interventions on quantitative glycaemic variables,such as glycated haemoglobin and fasting plasma glucose.RESULTS After confirming that the combined effect of all studies from the past 5 years positively impacts quantitative variables,a descriptive analysis of the studies with the most significant changes was conducted.Based on this,an improvement in diabetic patient care protocols has been proposed through follow-up plans tailored to the patient’s technological skills.CONCLUSION The combined results obtained and the proposal for improvement developed in this manuscript could help to improve the quality of life of many people around the world.
基金funded by the National Natural Science Foundation of China(No.62076032).
文摘Referring expression comprehension(REC)aims to locate a specific region in an image described by a natural language.Existing two-stage methods generate multiple candidate proposals in the first stage,followed by selecting one of these proposals as the grounding result in the second stage.Nevertheless,the number of candidate proposals generated in the first stage significantly exceeds ground truth and the recall of critical objects is inadequate,thereby enormously limiting the overall network performance.To address the above issues,the authors propose an innovative method termed Separate Non-Maximum Suppression(Sep-NMS)for two-stage REC.Particularly,Sep-NMS models information from the two stages independently and collaboratively,ultimately achieving an overall improvement in comprehension and identification of the target objects.Specifically,the authors propose a Ref-Relatedness module for filtering referent proposals rigorously,decreasing the redundancy of referent proposals.A CLIP†Relatedness module based on robust multimodal pre-trained encoders is built to precisely assess the relevance between language and proposals to improve the recall of critical objects.It is worth mentioning that the authors are the pioneers in utilising a multimodal pre-training model for proposal filtering in the first stage.Moreover,an Information Fusion module is designed to effectively amalgamate the multimodal information across two stages,ensuring maximum uti-lisation of the available information.Extensive experiments demonstrate that the approach achieves competitive performance with previous state-of-the-art methods.The datasets used are publicly available:RefCOCO,RefCOCO+:https://doi.org/10.1007/978-3-319-46475-6_5 and RefCOCOg:https://doi.org/10.1109/CVPR.2016.9.
文摘The international order and global system are undergoing complex and profound changes nowadays.Unparalleled transformations in the world,the speed at which they happen,and the course of history are unfolding in unprecedented ways,ushering in a new period of turbulence and transition.Geopolitical and geo-economic competition among major powers is intensifying;global economic growth remains sluggish;crises and conflicts continue to emerge;and both regional and global peace and security are repeatedly challenged.
基金Project supported by the National Natural Science Foundation of China (Grant Nos. 12425201 and 52090032)the National Key Basic Research Program of China (Grant No. 2022YFA1205400)。
文摘Electrical and thermal transport at two-dimensional(2D) interfaces is critical for semiconductor technology, yet their interplay remains unclear. We report a theoretical proposal to separate electronic and phononic contributions to thermal conductance at 2D interfaces with graphene, which is validated by non-equilibrium Green's function calculations and molecular dynamics simulations for graphene–gold contacts. Our results reveal that while metal–graphene interfaces are transparent for both electrons and phonons, non-covalent graphene interfaces block electronic tunneling beyond two layers but not phonon transport. This suggests that the Wiedemann–Franz law can be experimentally tested by measuring transport across interfaces with varying graphene layers.
基金the support of Prince Sultan University for paying the article processing charges(APC)of this publication.
文摘This work aimed to construct an epidemic model with fuzzy parameters.Since the classical epidemic model doesnot elaborate on the successful interaction of susceptible and infective people,the constructed fuzzy epidemicmodel discusses the more detailed versions of the interactions between infective and susceptible people.Thenext-generation matrix approach is employed to find the reproduction number of a deterministic model.Thesensitivity analysis and local stability analysis of the systemare also provided.For solving the fuzzy epidemic model,a numerical scheme is constructed which consists of three time levels.The numerical scheme has an advantage overthe existing forward Euler scheme for determining the conditions of getting the positive solution.The establishedscheme also has an advantage over existing non-standard finite difference methods in terms of order of accuracy.The stability of the scheme for the considered fuzzy model is also provided.From the plotted results,it can beobserved that susceptible people decay by rising interaction parameters.
文摘Multidisciplinary and interprofessional collaboration among medical staff is an effective way to reduce the incidence and complication of complex diseases and improve the quality of life.Therefore,it is very important to carry out interdisciplinary cooperative learning for nursing students in the education stage.This paper expounds the current situation of cross-disciplinary nursing education at home and abroad from the aspects of preparation and influencing factors of cross-disciplinary cooperative learning,teacher team building,teaching content and teaching methods,implementation time and place,in order to put forward suggestions for carrying out cross-disciplinary cooperative learning in college courses,and provide reference for many educators to carry out cross-disciplinary education and improve the comprehensive ability of nursing students.
文摘This study focuses on the urgent requirement for improved accuracy in diseasemodeling by introducing a newcomputational framework called the Hybrid SIR-Fuzzy Model.By integrating the traditional Susceptible-Infectious-Recovered(SIR)modelwith fuzzy logic,ourmethod effectively addresses the complex nature of epidemic dynamics by accurately accounting for uncertainties and imprecisions in both data and model parameters.The main aim of this research is to provide a model for disease transmission using fuzzy theory,which can successfully address uncertainty in mathematical modeling.Our main emphasis is on the imprecise transmission rate parameter,utilizing a three-part description of its membership level.This enhances the representation of disease processes with greater complexity and tackles the difficulties related to quantifying uncertainty in mathematical models.We investigate equilibrium points for three separate scenarios and perform a comprehensive sensitivity analysis,providing insight into the complex correlation betweenmodel parameters and epidemic results.In order to facilitate a quantitative analysis of the fuzzy model,we propose the implementation of a resilient numerical scheme.The convergence study of the scheme demonstrates its trustworthiness,providing a conditionally positive solution,which represents a significant improvement compared to current forward Euler schemes.The numerical findings demonstrate themodel’s effectiveness in accurately representing the dynamics of disease transmission.Significantly,when the mortality coefficient rises,both the susceptible and infected populations decrease,highlighting the model’s sensitivity to important epidemiological factors.Moreover,there is a direct relationship between higher Holling type rate values and a decrease in the number of individuals who are infected,as well as an increase in the number of susceptible individuals.This correlation offers a significant understanding of how many elements affect the consequences of an epidemic.Our objective is to enhance decision-making in public health by providing a thorough quantitative analysis of the Hybrid SIR-Fuzzy Model.Our approach not only tackles the existing constraints in disease modeling,but also paves the way for additional investigation,providing a vital instrument for researchers and policymakers alike.
文摘Circular economics theory offers destination managers of remote islands a solution-oriented approach to environmental sustainability. This paper examines the practical benefits of this theory that will support the development of a circular economy regarding sustainable island tourism (SIT). The aim of this paper is to inform discussions regarding the feasibility of applying a practice theory that emphasises changes in the behaviours across three segments, visitors, residents, and enterprises using SMART technologies. To achieve this objective, a SMART indicator system (SIS) was used to identify current practices that would support a circular economy (CE). The key innovation of this study is the creation of a proposed framework that may inform best practices for SIT in the future. The findings highlight the potential opportunity of evidenced-based planning to deliver a circular economy strategy (CES) for remote islands in the future. These insights can potentially impact the way that local authorities and destination managers approach the planning of tourism for six islands along the west coast of Ireland.
文摘Background:The global impact of the highly contagious COVID-19 virus has created unprecedented challenges,significantly impacting public health and economies worldwide.This research article conducts a time series analysis of COVID-19 data across various countries,including India,Brazil,Russia,and the United States,with a particular emphasis on total confirmed cases.Methods:The proposed approach combines auto-regressive integrated moving average(ARIMA)'s ability to capture linear trends and seasonality with long short-term memory(LSTM)networks,which are designed to learn complex nonlinear dependencies in the data.This hybrid approach surpasses both individual models and existing ARIMA-artificial neural network(ANN)hybrids,which often struggle with highly nonlinear time series like COVID-19 data.By integrating ARIMA and LSTM,the model aims to achieve superior forecasting accuracy compared to baseline models,including ARIMA,Gated Recurrent Unit(GRU),LSTM,and Prophet.Results:The hybrid ARIMA-LSTM model outperformed the benchmark models,achieving a mean absolute percentage error(MAPE)score of 2.4%.Among the benchmark models,GRU performed the best with a MAPE score of 2.9%,followed by LSTM with a score of 3.6%.Conclusions:The proposed ARIMA-LSTM hybrid model outperforms ARIMA,GRU,LSTM,Prophet,and the ARIMA-ANN hybrid model when evaluating using metrics like MAPE,symmetric mean absolute percentage error,and median absolute percentage error across all countries analyzed.These findings have the potential to significantly improve preparedness and response efforts by public health authorities,allowing for more efficient resource allocation and targeted interventions.
文摘The China-proposed global initiatives are"not only a very good solution to our world's problems,but also an expression of traditional Chinese culture,noted Australian sinologist Colin Mackerras at the ongoing Second World Conference of Sinologists.
基金Supported by the National Natural Science Foundation of China(No.30972260)~~
文摘Applied Immobilized algae bacteria (ABI) to remove ammonia of freshwater aquaculture wastewater. Temperature (T),PH,light intensity (I),dissolved oxygen (DO) and filling rate five factors plays important role in the process of ammonia nitrogen removal ,related data between ammonia removal and five factors was received through multi-factor orthogonal test,and established relations model between the five factor and nitrogen removal. The results show that five-factors had significant effect on AR,and the best combinations for removing AR was temperature 30 ℃,pH=7.0,light intensity 6 000 lux,dissolved oxygen 5.0 mg/L and the fill rate 10%. According to the experimental data,equation model was proposed and coefficient of determination R2 =0.864 8,P<0.05. Samples T-test was done between the model predictions and the actual measured values.Test results showed that the significant difference of overall mean value sig. (2-tailed) was 0.978 (P>0.05),it Shows that had no significant difference between model predictions and the actual measured value,and model had a high degree of fitting.
基金Supported by Special Fund for Construction of Modern Agricultural Technology System(CARS-07-12.5-A18)~~
文摘[Objective] This paper analyzed present status of broomcorn millet produc- tion in China, including cultivation methods, fertilization utilization, diseases, insect pests and disasters, machinery development, planting benefit and other aspects. [Method] The corn millet data reported by China Industrial and Technological Re- search System of Millet in 2011 were analyzed by descriptive statistical analysis of EXCEL. [Result] The results show that 17 678.57 kg/ha of farm manure, 155.77 kg/ha of urea, 259.5 kg/ha of compound fertilizer, 203.13 kg/ha of phosphate fertilizer and 75 kg/ha of potash fertilizer were used in China; the national mechanization degree of broomcorn millet production is lower than 30% in all; the average income of broomcorn millet production is 10 503.33 yuan/ha, and the VCR is 2.64; most broomcorn millet producing areas are affected by mild pests and diseases, very few are affected by mild and moderate pests and diseases, and the impact of natural disasters is the lightest. [~onclusien] Currently fertilizer utilization for broomcorn millet is proper but the mechanization level and planting benefit are low, natural disasters, pests and diseases are not severe; finally the authors proposed some suggestions on the fertilizer utilization, mechanization production, benefit increasing, disaster warning, disease and insect controlling and government policy-making for broomcorn millet production.
基金Supported by the Special Funds for Forestry Industry Research in Public Welfare(201404720)the National Science and Technology Support Program(2014BAD16B02-3)the Science and Technology Innovation Ability Construction Projects of Beijing Academy of Agriculture and Forestry Science(KJCX20150403)~~
文摘[Objective] The aims were to explore the relationship between the contents of fruit mineral elements and quality features of the ＇Fuji＇ apple, screen major mineral elements of the fruit affecting fruit quality features, and set up optimum proposals of fruit mineral elements for good fruit qualities, so as to provide a theoretical basis for the reasonable orchard soil and foliar fertilizer applications to increase fruit quality and reduce the physiological diseases related to the ＇Fuji＇ apple. [Methods] The fruit mineral elements and quality indicators of ＇Fuji＂ apples were in- vestigated and analyzed, which were collected from the 153 commercial apple or- chards of ＂Fuji＇ apple located in 51 counties. The variable importance for projection （VlP） of partial least squares regression （PLS） method was used to analyze the model effect and weight analysis impact of the fruit mineral element contents to fruit quality, screen out major factors of fruit mineral elements influencing the different fruit qualities, and set up the regression equation of the fruit qualities and major fruit mineral elements. Linear programming was used to obtain optimum proposals of the fruit mineral elements to achieve good ＇Fuji＇ apple qualities. [Results] The mineral elements content and quality characteristics in ＂Fuji＇ apple fruit had great differences in the different produce regions in which the maximum content of nitro- gen, iron, zinc and boron in the ＇Fuji＇ fruit were12.06, 6.17, 7.7, and 10.08 times greater than the minimum respectively, and the differences for titratable acid and the SSC/TA ratio were 2.33 and 2.16 times respectively. The correlation analysis between the fruit mineral element contents and qualities showed that the nitrogen content of fruit had a significantly negative correlation with the soluble solid content, SSC/TA ratio and red color area, while the calcium and iron contents in the fruit were in significantly positive correlation with the soluble solid content and SSC/TA ratio. The model effect and weight analysis showed that the content of nitrogen and iron in the fruit had a greater influence on the integral fruit quality, followed by phosphorus, potassium and calcium. The variable importance for projection （VlP） technology of PLS found that the mean fruit weight was primarily affected by nitro- gen, phosphorus and potassium, and the soluble solid was primarily affected by ni- trogen, calcium and iron, while the red color area was primarily affected by nitro- gen, potassium, calcium, iron and zinc. The regression equation between fruit quality and mineral element contents showed that the mean fruit weight had a greater pos- itive effect coefficient with the content of phosphorus and potassium, and a greater negative effect coefficient with the content of nitrogen in the fruit. Moreover, the sol- uble solid had the largest negative effect coefficient with nitrogen and largest posi- tive effect coefficient with calcium and iron in the fruit. [Conclusion] The maximum content of soluble solid and titratable acid were 1.5 times more than the minimum, and nitrogen, iron, zinc and boron were 6 times more than in the ＇Fuji＇ apple fruit in the different produce regions. Therefore, it is a key technological measure to improve the overall qualities of the ＂Fuji＇ apple by decreasing the content of nitrogen, and increasing the contents of iron, phosphorus, potassium and calcium in the fruit.
