Osteoarthritis(OA),the most common joint disorder,was reported to affect 7%of the global population,and the number of people with OA has increased by almost 50%from 1990 to 2019[1].OA can occur in almost any moveable ...Osteoarthritis(OA),the most common joint disorder,was reported to affect 7%of the global population,and the number of people with OA has increased by almost 50%from 1990 to 2019[1].OA can occur in almost any moveable joint;however,the most commonly affected joints are the knee,hip,and hand.Pain,swelling,and stiffness are the most common clinical symptoms.展开更多
The Australian Plague Locust Commission (APLC) is responsible for the monitoring and control of locust populations that pose a threat to agriculture in the inland areas of four Australian States, a total area of 2 mil...The Australian Plague Locust Commission (APLC) is responsible for the monitoring and control of locust populations that pose a threat to agriculture in the inland areas of four Australian States, a total area of 2 million km\+2. A GIS based decision support system (DSS) is used to co ordinate the collection, processing, analysis and display of a range of spatial data for the forecasting of locust population development and to assist control operations. The resultant forecasts are used to help locate population aggregations early in a breeding sequence so as to enable effective preventive control. The data colection components of the DSS include wireless direct transfer of locust survey data from the field and daily internet collections of weather data. Locust distribution and age information is collected by APLC officers on regular vehicle surveys using GPS connected palmtop computers, and sent directly to a GIS server via high frequency (HF) radio modems. Locust reports from landholders and state extension staff are also incorporated into the system. The current survey data are used to estimate broad distributions, and to seed spatially explicit development models that can identify the timing of life stages that can be effectively managed. Information on the distribution of rainfall, temperature and wind fields is collected automatically from the internet and integrated with habitat information and locust distributions. Online weather data products from the Bureau of Meterology are also accessed regularly to assist in operational decision making.展开更多
The Decision Support System (DSS) used by the Australian Plague Locust Commission for management of several important migratory insect pests in Australia is described. The DSS is based on a Geographic Information Sys...The Decision Support System (DSS) used by the Australian Plague Locust Commission for management of several important migratory insect pests in Australia is described. The DSS is based on a Geographic Information System that integrates data on weather and habitat condition with the migration, development and distribution of the pest to prepare forecasts and aid decisions for control. The GIS is module based with the number and nature of the modules easily modified depending on the detail of data required to manage the pest concerned.展开更多
基金supported by the National Key Research and Development Plan(2022YFC3601900 and 2022YFC2505500)the National Natural Science Foundation of China(U21A20352)+1 种基金the Project Program of National Clinical Research Center for Geriatric Disorders(2021LNJJ06)the Natural Science Foundation of Hunan Province(2022JJ20100)。
文摘Osteoarthritis(OA),the most common joint disorder,was reported to affect 7%of the global population,and the number of people with OA has increased by almost 50%from 1990 to 2019[1].OA can occur in almost any moveable joint;however,the most commonly affected joints are the knee,hip,and hand.Pain,swelling,and stiffness are the most common clinical symptoms.
文摘The Australian Plague Locust Commission (APLC) is responsible for the monitoring and control of locust populations that pose a threat to agriculture in the inland areas of four Australian States, a total area of 2 million km\+2. A GIS based decision support system (DSS) is used to co ordinate the collection, processing, analysis and display of a range of spatial data for the forecasting of locust population development and to assist control operations. The resultant forecasts are used to help locate population aggregations early in a breeding sequence so as to enable effective preventive control. The data colection components of the DSS include wireless direct transfer of locust survey data from the field and daily internet collections of weather data. Locust distribution and age information is collected by APLC officers on regular vehicle surveys using GPS connected palmtop computers, and sent directly to a GIS server via high frequency (HF) radio modems. Locust reports from landholders and state extension staff are also incorporated into the system. The current survey data are used to estimate broad distributions, and to seed spatially explicit development models that can identify the timing of life stages that can be effectively managed. Information on the distribution of rainfall, temperature and wind fields is collected automatically from the internet and integrated with habitat information and locust distributions. Online weather data products from the Bureau of Meterology are also accessed regularly to assist in operational decision making.
文摘The Decision Support System (DSS) used by the Australian Plague Locust Commission for management of several important migratory insect pests in Australia is described. The DSS is based on a Geographic Information System that integrates data on weather and habitat condition with the migration, development and distribution of the pest to prepare forecasts and aid decisions for control. The GIS is module based with the number and nature of the modules easily modified depending on the detail of data required to manage the pest concerned.
