Remote sensing and web-based platforms have emerged as vital tools in the effective monitoring of mangrove ecosystems, which are crucial for coastal protection, biodiversity, and carbon sequestration. Utilizing satell...Remote sensing and web-based platforms have emerged as vital tools in the effective monitoring of mangrove ecosystems, which are crucial for coastal protection, biodiversity, and carbon sequestration. Utilizing satellite imagery and aerial data, remote sensing allows researchers to assess the health and extent of mangrove forests over large areas and time periods, providing insights into changes due to environmental stressors like climate change, urbanization, and deforestation. Coupled with web-based platforms, this technology facilitates real-time data sharing and collaborative research efforts among scientists, policymakers, and conservationists. Thus, there is a need to grow this research interest among experts working in this kind of ecosystem. The aim of this paper is to provide a comprehensive literature review on the effective role of remote sensing and web-based platform in monitoring mangrove ecosystem. The research paper utilized the thematic approach to extract specific information to use in the discussion which helped realize the efficiency of digital monitoring for the environment. Web-based platforms and remote sensing represent a powerful tool for environmental monitoring, particularly in the context of forest ecosystems. They facilitate the accessibility of vital data, promote collaboration among stakeholders, support evidence-based policymaking, and engage communities in conservation efforts. As experts confront the urgent challenges posed by climate change and environmental degradation, leveraging technology through web-based platforms is essential for fostering a sustainable future for the forests of the world.展开更多
Large-scale deep-seated landslides pose a significant threat to human life and infrastructure.Therefore,closely monitoring these landslides is crucial for assessing and mitigating their associated risks.In this paper,...Large-scale deep-seated landslides pose a significant threat to human life and infrastructure.Therefore,closely monitoring these landslides is crucial for assessing and mitigating their associated risks.In this paper,the authors introduce the So Lo Mon framework,a comprehensive monitoring system developed for three large-scale landslides in the Autonomous Province of Bolzano,Italy.A web-based platform integrates various monitoring data(GNSS,topographic data,in-place inclinometer),providing a user-friendly interface for visualizing and analyzing the collected data.This facilitates the identification of trends and patterns in landslide behaviour,enabling the triggering of warnings and the implementation of appropriate mitigation measures.The So Lo Mon platform has proven to be an invaluable tool for managing the risks associated with large-scale landslides through non-structural measures and driving countermeasure works design.It serves as a centralized data repository,offering visualization and analysis tools.This information empowers decisionmakers to make informed choices regarding risk mitigation,ultimately ensuring the safety of communities and infrastructures.展开更多
Earthwork productivity analysis is essential for successful construction projects.If productivity analysis results can be accessed anytime and anywhere,then project management can be performed more efficiently.To this...Earthwork productivity analysis is essential for successful construction projects.If productivity analysis results can be accessed anytime and anywhere,then project management can be performed more efficiently.To this end,this paper proposes an earthwork productivity monitoring framework via a real-time scene updating multi-vision platform.The framework consists of four main processes:1)site-optimized database development;2)real-time monitoring model updating;3)multi-vision productivity monitoring;and 4)web-based monitoring platform for Internetconnected devices.The experimental results demonstrated satisfactory performance,with an average macro F1-score of 87.3%for continuous site-specific monitoring,an average accuracy of 86.2%for activity recognition,and the successful operation of multi-vision productivity monitoring through a web-based platform in real time.The findings can contribute to supporting site managers to understand real-time earthmoving operations while achieving better construction project and information management.展开更多
Taking Leshan Normal University as an example,the investigation has been conducted in this paper on the use of learning strategies of more than 3,000 non-English majors in the process of English learning.Based on the ...Taking Leshan Normal University as an example,the investigation has been conducted in this paper on the use of learning strategies of more than 3,000 non-English majors in the process of English learning.Based on the analysis of the survey results,this paper discusses the necessity of college English learning strategy cultivation under the new situation,focusing on the cultivation approaches to college English learning strategy through intelligent teaching platforms,aiming to cultivate student’s awareness of using learning strategies,strengthen their according ability,and improve their English level.展开更多
[目的]构建基于教学系统设计(Instructional System Design,ISD)模型的临床护士科研培训体系,并评价其应用效果。[方法]采用ISD模型的“分析-设计-开发-实施-评估”五步法,通过横断面调查和焦点访谈明确培训需求,设计分阶段标准化科研...[目的]构建基于教学系统设计(Instructional System Design,ISD)模型的临床护士科研培训体系,并评价其应用效果。[方法]采用ISD模型的“分析-设计-开发-实施-评估”五步法,通过横断面调查和焦点访谈明确培训需求,设计分阶段标准化科研培训课程,结合云平台(京颐512系统)实施线上培训,采用类实验研究设计,对34名临床护士进行培训前后科研能力的对比分析。[结果]培训前后护理科研能力自评量表,Cronbachα系数分别为0.959、0.942,显示信度良好;KMO值分别为0.888、0.899,显示结构效度良好,P值均<0.001,培训后护士科研能力自评总分由(67.87±14.28)分提升至(76.40±12.17)分(P<0.001)。[结论]基于ISD模型的科研培训体系能够有效提升临床护士科研能力,结合云平台的应用模式具有灵活性和可推广性,为护理科研教育提供了新思路。展开更多
文摘Remote sensing and web-based platforms have emerged as vital tools in the effective monitoring of mangrove ecosystems, which are crucial for coastal protection, biodiversity, and carbon sequestration. Utilizing satellite imagery and aerial data, remote sensing allows researchers to assess the health and extent of mangrove forests over large areas and time periods, providing insights into changes due to environmental stressors like climate change, urbanization, and deforestation. Coupled with web-based platforms, this technology facilitates real-time data sharing and collaborative research efforts among scientists, policymakers, and conservationists. Thus, there is a need to grow this research interest among experts working in this kind of ecosystem. The aim of this paper is to provide a comprehensive literature review on the effective role of remote sensing and web-based platform in monitoring mangrove ecosystem. The research paper utilized the thematic approach to extract specific information to use in the discussion which helped realize the efficiency of digital monitoring for the environment. Web-based platforms and remote sensing represent a powerful tool for environmental monitoring, particularly in the context of forest ecosystems. They facilitate the accessibility of vital data, promote collaboration among stakeholders, support evidence-based policymaking, and engage communities in conservation efforts. As experts confront the urgent challenges posed by climate change and environmental degradation, leveraging technology through web-based platforms is essential for fostering a sustainable future for the forests of the world.
基金funded by the So Lo Mon project“Monitoraggio a Lungo Termine di Grandi Frane basato su Sistemi Integrati di Sensori e Reti”(Longterm monitoring of large-scale landslides based on integrated systems of sensors and networks),Program EFRE-FESR 2014–2020,Project EFRE-FESR4008 South Tyrol–Person in charge:V.Mair。
文摘Large-scale deep-seated landslides pose a significant threat to human life and infrastructure.Therefore,closely monitoring these landslides is crucial for assessing and mitigating their associated risks.In this paper,the authors introduce the So Lo Mon framework,a comprehensive monitoring system developed for three large-scale landslides in the Autonomous Province of Bolzano,Italy.A web-based platform integrates various monitoring data(GNSS,topographic data,in-place inclinometer),providing a user-friendly interface for visualizing and analyzing the collected data.This facilitates the identification of trends and patterns in landslide behaviour,enabling the triggering of warnings and the implementation of appropriate mitigation measures.The So Lo Mon platform has proven to be an invaluable tool for managing the risks associated with large-scale landslides through non-structural measures and driving countermeasure works design.It serves as a centralized data repository,offering visualization and analysis tools.This information empowers decisionmakers to make informed choices regarding risk mitigation,ultimately ensuring the safety of communities and infrastructures.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(Nos.RS-2023-00241758,2021R1A2C2003696,and RS-2024-00334513).
文摘Earthwork productivity analysis is essential for successful construction projects.If productivity analysis results can be accessed anytime and anywhere,then project management can be performed more efficiently.To this end,this paper proposes an earthwork productivity monitoring framework via a real-time scene updating multi-vision platform.The framework consists of four main processes:1)site-optimized database development;2)real-time monitoring model updating;3)multi-vision productivity monitoring;and 4)web-based monitoring platform for Internetconnected devices.The experimental results demonstrated satisfactory performance,with an average macro F1-score of 87.3%for continuous site-specific monitoring,an average accuracy of 86.2%for activity recognition,and the successful operation of multi-vision productivity monitoring through a web-based platform in real time.The findings can contribute to supporting site managers to understand real-time earthmoving operations while achieving better construction project and information management.
基金This paper is one of the achievements of the project“A Study on the College English Learning Strategies Based on Intellectual Teaching Platforms”sponsored by the Sichuan Foreign Language Literature Research Center(No.SCWYH19-16).
文摘Taking Leshan Normal University as an example,the investigation has been conducted in this paper on the use of learning strategies of more than 3,000 non-English majors in the process of English learning.Based on the analysis of the survey results,this paper discusses the necessity of college English learning strategy cultivation under the new situation,focusing on the cultivation approaches to college English learning strategy through intelligent teaching platforms,aiming to cultivate student’s awareness of using learning strategies,strengthen their according ability,and improve their English level.
文摘[目的]构建基于教学系统设计(Instructional System Design,ISD)模型的临床护士科研培训体系,并评价其应用效果。[方法]采用ISD模型的“分析-设计-开发-实施-评估”五步法,通过横断面调查和焦点访谈明确培训需求,设计分阶段标准化科研培训课程,结合云平台(京颐512系统)实施线上培训,采用类实验研究设计,对34名临床护士进行培训前后科研能力的对比分析。[结果]培训前后护理科研能力自评量表,Cronbachα系数分别为0.959、0.942,显示信度良好;KMO值分别为0.888、0.899,显示结构效度良好,P值均<0.001,培训后护士科研能力自评总分由(67.87±14.28)分提升至(76.40±12.17)分(P<0.001)。[结论]基于ISD模型的科研培训体系能够有效提升临床护士科研能力,结合云平台的应用模式具有灵活性和可推广性,为护理科研教育提供了新思路。
