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
Children with urogenital malformation or bowel disturbances are a vulnerable group and are at risk of experiencing ill health. At school they have to face and cope with situations they are unused to and often feel exc...Children with urogenital malformation or bowel disturbances are a vulnerable group and are at risk of experiencing ill health. At school they have to face and cope with situations they are unused to and often feel excluded. There is a lack of studies investigating prevention of ill health in this group of children. Objective: The aim of the study was to investigate the health/well-being and self-esteem, before and after a one-year intervention comprising person-centred, web-based learning support, in preschool children born with malformations in the urethra, bladder, genitals and/or bowel. Study design: Nine boys and one girl participated, aged 3 - 7 years (study group) with diagnoses of epispadia, bladder exstrophy, urethra valves and Hirschprung’s disease. Two questionnaires were used, developed to measure index of health/wellbeing and self-esteem in younger children. In the study group, the interviews were repeated after one year. The group was compared with a control group of 20 healthy, age-matched children. Results: Before the intervention, there were no differences in wellbeing (Children condition index) between the study group and the control group. One year after the start of the web-based preschool, wellbeing in the study group had slightly improved, but not significantly compared to before the intervention. No significant difference was found compared to the control group. When measured self-esteem (I think I am) before the intervention, the study group had significantly better self-esteem compared to the control group. One year later, there was a slight improvement in self-esteem, but two children scored worse in the domain Psychological wellbeing. In comparison with the group of healthy children, the self-esteem in the study group was better for total sum (p = 0.0002). Discussion: Wellbeing and self-esteem seem to be good in children aged 3 - 7 years with uro-genital and bowel malformations, according to the findings of this study. This is better than reports concerning older children. Despite high initial values compared to healthy children, continued, but not significant, improvement in wellbeing and self-esteem was shown one year after intervention. Conclusions: The results of the intervention aimed at promoting health, wellbeing and self-esteem are promising but a longer-term follow-up in a larger group of children is needed.展开更多
目的评价基于智慧健康服务平台的糖尿病前期老年人群运动方案对老年人体重指数(BMI)、空腹血糖(FBG)、餐后2 h血糖(2 h PBG)及运动自我效能的影响。方法选取2022年12月至2023年4月于成都某社区医院筛查诊断出的糖尿病前期老年人57例为...目的评价基于智慧健康服务平台的糖尿病前期老年人群运动方案对老年人体重指数(BMI)、空腹血糖(FBG)、餐后2 h血糖(2 h PBG)及运动自我效能的影响。方法选取2022年12月至2023年4月于成都某社区医院筛查诊断出的糖尿病前期老年人57例为研究对象。按照随机数字表法将研究对象分为试验组(n=30)和对照组(n=27),对照组实施基于智慧健康服务平台的常规运动健康宣教,试验组实施基于智慧健康服务平台的运动方案。于干预前、干预第6周末、干预第12周末收集两组BMI、FBG、2 h PBG、运动自我效能评价量表(SEE)得分进行组内、组间比较。结果干预第6周末、第12周末试验组BMI、FBG、2 h PBG水平均低于对照组(P<0.05);试验组SEE得分高于对照组(P<0.05)。结论基于智慧健康服务平台支持的糖尿病前期老年人群的运动方案,能降低老年人FBG、2 h PBG及BMI,提高老年人运动自我效能,为社区慢性病人群数字化管理提供了新思路,同时为糖尿病前期老年人的运动管理提供了参考依据。展开更多
An individual's mental health influences their capacity to think effectively,feel emotionally stable,and perform daily activities.As mental health concerns become more prevalent worldwide,new awareness and diagnos...An individual's mental health influences their capacity to think effectively,feel emotionally stable,and perform daily activities.As mental health concerns become more prevalent worldwide,new awareness and diagnostic and treatment tactics are needed.Digital tools and technology are helping solve these problems by providing scalable,tailored solutions for large populations.This detailed review examines mental health‐promoting internet tools.Smartphone applications,web‐based therapy systems,wearable tech,artificial intelligence‐powered resources,and virtual reality(VR)technologies were evaluated for efficacy and side effects.PubMed,PsycINFO,Scopus,IEEE Xplore,and Google Scholar were carefully searched.Search terms included“digital mental health tools,”“online therapy,”and“AI in mental health.”Randomized controlled trials,cohort studies,cross‐sectional studies,systematic reviews,and meta‐analyses of digital technology and mental health were included from among the literature published after 2010.Cognitive behavioral therapy methods,mood monitoring,and mindfulness exercises are among the numerous features of smartphone applications that have been demonstrated to mitigate symptoms of anxiety,depression,and tension.Online therapy platforms let marginalized individuals obtain therapy remotely.Wearable technology may detect heart rate,blood pressure,and sleep length,which may reveal mental health difficulties.Chatbots employ machine learning algorithms and natural language processing to deliver customized support and show promise for quick intervention.Exposure therapy for anxiety and trauma is increasingly using virtual reality environments.Although digital mental health therapies face challenges in relation to data privacy,limited long‐term efficacy,and technological inequality,digital technologies are modernizing mental healthcare.By offering inexpensive and effective alternatives to traditional therapies,digital technologies may help healthcare systems meet the growing demand for mental health services and overall well‐being.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.
文摘Children with urogenital malformation or bowel disturbances are a vulnerable group and are at risk of experiencing ill health. At school they have to face and cope with situations they are unused to and often feel excluded. There is a lack of studies investigating prevention of ill health in this group of children. Objective: The aim of the study was to investigate the health/well-being and self-esteem, before and after a one-year intervention comprising person-centred, web-based learning support, in preschool children born with malformations in the urethra, bladder, genitals and/or bowel. Study design: Nine boys and one girl participated, aged 3 - 7 years (study group) with diagnoses of epispadia, bladder exstrophy, urethra valves and Hirschprung’s disease. Two questionnaires were used, developed to measure index of health/wellbeing and self-esteem in younger children. In the study group, the interviews were repeated after one year. The group was compared with a control group of 20 healthy, age-matched children. Results: Before the intervention, there were no differences in wellbeing (Children condition index) between the study group and the control group. One year after the start of the web-based preschool, wellbeing in the study group had slightly improved, but not significantly compared to before the intervention. No significant difference was found compared to the control group. When measured self-esteem (I think I am) before the intervention, the study group had significantly better self-esteem compared to the control group. One year later, there was a slight improvement in self-esteem, but two children scored worse in the domain Psychological wellbeing. In comparison with the group of healthy children, the self-esteem in the study group was better for total sum (p = 0.0002). Discussion: Wellbeing and self-esteem seem to be good in children aged 3 - 7 years with uro-genital and bowel malformations, according to the findings of this study. This is better than reports concerning older children. Despite high initial values compared to healthy children, continued, but not significant, improvement in wellbeing and self-esteem was shown one year after intervention. Conclusions: The results of the intervention aimed at promoting health, wellbeing and self-esteem are promising but a longer-term follow-up in a larger group of children is needed.
文摘目的评价基于智慧健康服务平台的糖尿病前期老年人群运动方案对老年人体重指数(BMI)、空腹血糖(FBG)、餐后2 h血糖(2 h PBG)及运动自我效能的影响。方法选取2022年12月至2023年4月于成都某社区医院筛查诊断出的糖尿病前期老年人57例为研究对象。按照随机数字表法将研究对象分为试验组(n=30)和对照组(n=27),对照组实施基于智慧健康服务平台的常规运动健康宣教,试验组实施基于智慧健康服务平台的运动方案。于干预前、干预第6周末、干预第12周末收集两组BMI、FBG、2 h PBG、运动自我效能评价量表(SEE)得分进行组内、组间比较。结果干预第6周末、第12周末试验组BMI、FBG、2 h PBG水平均低于对照组(P<0.05);试验组SEE得分高于对照组(P<0.05)。结论基于智慧健康服务平台支持的糖尿病前期老年人群的运动方案,能降低老年人FBG、2 h PBG及BMI,提高老年人运动自我效能,为社区慢性病人群数字化管理提供了新思路,同时为糖尿病前期老年人的运动管理提供了参考依据。
文摘An individual's mental health influences their capacity to think effectively,feel emotionally stable,and perform daily activities.As mental health concerns become more prevalent worldwide,new awareness and diagnostic and treatment tactics are needed.Digital tools and technology are helping solve these problems by providing scalable,tailored solutions for large populations.This detailed review examines mental health‐promoting internet tools.Smartphone applications,web‐based therapy systems,wearable tech,artificial intelligence‐powered resources,and virtual reality(VR)technologies were evaluated for efficacy and side effects.PubMed,PsycINFO,Scopus,IEEE Xplore,and Google Scholar were carefully searched.Search terms included“digital mental health tools,”“online therapy,”and“AI in mental health.”Randomized controlled trials,cohort studies,cross‐sectional studies,systematic reviews,and meta‐analyses of digital technology and mental health were included from among the literature published after 2010.Cognitive behavioral therapy methods,mood monitoring,and mindfulness exercises are among the numerous features of smartphone applications that have been demonstrated to mitigate symptoms of anxiety,depression,and tension.Online therapy platforms let marginalized individuals obtain therapy remotely.Wearable technology may detect heart rate,blood pressure,and sleep length,which may reveal mental health difficulties.Chatbots employ machine learning algorithms and natural language processing to deliver customized support and show promise for quick intervention.Exposure therapy for anxiety and trauma is increasingly using virtual reality environments.Although digital mental health therapies face challenges in relation to data privacy,limited long‐term efficacy,and technological inequality,digital technologies are modernizing mental healthcare.By offering inexpensive and effective alternatives to traditional therapies,digital technologies may help healthcare systems meet the growing demand for mental health services and overall well‐being.
