Forest ecosystems are our priceless natural resource and are a key component of the global carbon budget. Forest fires can be a hazard to the viability and sustainable management of forests with consequences for natur...Forest ecosystems are our priceless natural resource and are a key component of the global carbon budget. Forest fires can be a hazard to the viability and sustainable management of forests with consequences for natural and cultural environments, economies, and the life quality of local and regional populations. Thus, the selection of strategies to manage forest fires, while considering both functional and economic efficiency, is of primary importance. The use of decision support systems(DSSs) by managers of forest fires has rapidly increased. This has strengthened capacity to prevent and suppress forest fires while protecting human lives and property. DSSs are a tool that can benefit incident management and decision making and policy, especially for emergencies such as natural disasters. In this study we reviewed state-of-the-art DSSs that use: database management systems and mathematical/economic algorithms for spatial optimization of firefighting forces; forest fire simulators and satellite technology for immediate detection and prediction of evolution of forest fires; GIS platforms that incorporate several tools to manipulate, process and analyze geographic data and develop strategic and operational plans.展开更多
生物药剂学分类系统(biopharmaceutics classification system,BCS)中的渗透性评价主要指向肠吸收问题,相对于单一成分药物,在中药生物药剂学分类系统(biopharmaceutics classification system of Chinese materia medica,CMMBCS)构建中...生物药剂学分类系统(biopharmaceutics classification system,BCS)中的渗透性评价主要指向肠吸收问题,相对于单一成分药物,在中药生物药剂学分类系统(biopharmaceutics classification system of Chinese materia medica,CMMBCS)构建中,多成分环境下的某单一成分吸收代谢受到多成分体系的影响而更为复杂,亟需适当的数学模型进行描述。作者团队在借鉴已有单成分肠吸收代谢数学算法的基础上,设计了多成分药物肠吸收代谢数学算法,提出参数P影响(多成分环境下某一单成分的吸收代谢相对于其单成分环境下的吸收代谢相对变化率)来反映多成分体系对其中某一单成分的吸收代谢影响,突出了多成分环境下药物肠吸收代谢的特点,为中药生物药剂学分类系统的构建奠定基础。展开更多
Computational models are developed to create grain structures using mathematical algorithms based on the chaos theory such as cellular automaton, geometrical models, fractals, and stochastic methods. Because of the ch...Computational models are developed to create grain structures using mathematical algorithms based on the chaos theory such as cellular automaton, geometrical models, fractals, and stochastic methods. Because of the chaotic nature of grain structures, some of the most popular routines are based on the Monte Carlo method, statistical distributions, and random walk methods, which can be easily programmed and included in nested loops. Nevertheless, grain structures are not well defined as the results of computational errors and numerical incon- sistencies on mathematical methods. Due to the finite definition of numbers or the numerical restrictions during the simulation of solidifica- tion, damaged images appear on the screen. These images must be repaired to obtain a good measurement of grain geometrical properties. Some mathematical algorithms were developed to repair, measure, and characterize grain structures obtained from cellular automata in the present work. An appropriate measurement of grain size and the corrected identification of interfaces and length are very important topics in materials science because they are the representation and validation of mathematical models with real samples. As a result, the developed al- gorithms are tested and proved to be appropriate and efficient to eliminate the errors and characterize the grain structures.展开更多
A mathematical algorithm of the distribution of greenhouse gas emissions is proposed as a way to tackle the topical issue of climate change and develop approaches to attaining an agreement among emitters of greenhouse...A mathematical algorithm of the distribution of greenhouse gas emissions is proposed as a way to tackle the topical issue of climate change and develop approaches to attaining an agreement among emitters of greenhouse gases (on the global scale, in a country, a region, a megalopolis).展开更多
基金co-financed by the European Union(European Social Fund-ESF)and Greek national funds through the Operational Program‘‘Education and Lifelong Learning’’of the National Strategic Reference Framework(NSRF)-Research Funding Program:Thales.Investing in knowledge society through the European Social Fund
文摘Forest ecosystems are our priceless natural resource and are a key component of the global carbon budget. Forest fires can be a hazard to the viability and sustainable management of forests with consequences for natural and cultural environments, economies, and the life quality of local and regional populations. Thus, the selection of strategies to manage forest fires, while considering both functional and economic efficiency, is of primary importance. The use of decision support systems(DSSs) by managers of forest fires has rapidly increased. This has strengthened capacity to prevent and suppress forest fires while protecting human lives and property. DSSs are a tool that can benefit incident management and decision making and policy, especially for emergencies such as natural disasters. In this study we reviewed state-of-the-art DSSs that use: database management systems and mathematical/economic algorithms for spatial optimization of firefighting forces; forest fire simulators and satellite technology for immediate detection and prediction of evolution of forest fires; GIS platforms that incorporate several tools to manipulate, process and analyze geographic data and develop strategic and operational plans.
文摘生物药剂学分类系统(biopharmaceutics classification system,BCS)中的渗透性评价主要指向肠吸收问题,相对于单一成分药物,在中药生物药剂学分类系统(biopharmaceutics classification system of Chinese materia medica,CMMBCS)构建中,多成分环境下的某单一成分吸收代谢受到多成分体系的影响而更为复杂,亟需适当的数学模型进行描述。作者团队在借鉴已有单成分肠吸收代谢数学算法的基础上,设计了多成分药物肠吸收代谢数学算法,提出参数P影响(多成分环境下某一单成分的吸收代谢相对于其单成分环境下的吸收代谢相对变化率)来反映多成分体系对其中某一单成分的吸收代谢影响,突出了多成分环境下药物肠吸收代谢的特点,为中药生物药剂学分类系统的构建奠定基础。
文摘Computational models are developed to create grain structures using mathematical algorithms based on the chaos theory such as cellular automaton, geometrical models, fractals, and stochastic methods. Because of the chaotic nature of grain structures, some of the most popular routines are based on the Monte Carlo method, statistical distributions, and random walk methods, which can be easily programmed and included in nested loops. Nevertheless, grain structures are not well defined as the results of computational errors and numerical incon- sistencies on mathematical methods. Due to the finite definition of numbers or the numerical restrictions during the simulation of solidifica- tion, damaged images appear on the screen. These images must be repaired to obtain a good measurement of grain geometrical properties. Some mathematical algorithms were developed to repair, measure, and characterize grain structures obtained from cellular automata in the present work. An appropriate measurement of grain size and the corrected identification of interfaces and length are very important topics in materials science because they are the representation and validation of mathematical models with real samples. As a result, the developed al- gorithms are tested and proved to be appropriate and efficient to eliminate the errors and characterize the grain structures.
文摘A mathematical algorithm of the distribution of greenhouse gas emissions is proposed as a way to tackle the topical issue of climate change and develop approaches to attaining an agreement among emitters of greenhouse gases (on the global scale, in a country, a region, a megalopolis).
