Plasma concentration of Natriuretic Peptide (NP) is a valuable diagnostic tool for heart failure (HF). It can help rule out or confirm a diagnosis of HF based on symptoms, but its use is not clearly defined. NPs shoul...Plasma concentration of Natriuretic Peptide (NP) is a valuable diagnostic tool for heart failure (HF). It can help rule out or confirm a diagnosis of HF based on symptoms, but its use is not clearly defined. NPs should be used in conjunction with physical examination and other diagnostic tests. However, it is important to note that several conditions besides the diagnosis of HF may cause NPs levels to be elevated. Additionally, there are situations when NP concentrations may be below diagnostic thresholds in [1]. This consensus statement aims to provide a straightforward diagnostic flowchart for clinicians in both the emergency department and outpatient settings to aid in diagnosing both acute and chronic HF. The diagnosis of acute HF can be ruled out with a BNP level of 100 pg/mL or NTproBNP level of 300 pg/mL, regardless of the patient’s age. To identify HF, a 3-level cut-off point based on the patient’s age is recommended. Chronic heart failure can be ruled out with a BNP level of 35 pg/mL or NTproBNP level of 125 pg/mL, regardless of thepatient’s age [1].展开更多
Due to France has suffered from many terrorist attacks and the number of visitors to the Louvre has gradually increased in recent years, a good evacuation plan for the Louvre is of vital significance. We use the minim...Due to France has suffered from many terrorist attacks and the number of visitors to the Louvre has gradually increased in recent years, a good evacuation plan for the Louvre is of vital significance. We use the minimization of the total evacuation time of all tourists as the optimization goal to find an optimal path. For conventional emergencies, a static model is built to evacuate visitors. And then we establish a nonlinear programming model. Using Lingo software, we get the distribution information of the visitors in different exhibition halls. For unconventional emergencies, we establish an adaptive dynamic model of tourist evacuation based on genetic algorithm. The sensitivity analysis of the model is considered by adding new paths. By solving the nonlinear programming problem with the double objective function of maximizing evacuation time and balancing the number of people in every path, we get the evacuation time last 1582.74 s. Finally, according to our result, we built mathematical models for the evacuation after an emergency and analyzed how to adapt and implement our models for other large and crowded structures.展开更多
文摘Plasma concentration of Natriuretic Peptide (NP) is a valuable diagnostic tool for heart failure (HF). It can help rule out or confirm a diagnosis of HF based on symptoms, but its use is not clearly defined. NPs should be used in conjunction with physical examination and other diagnostic tests. However, it is important to note that several conditions besides the diagnosis of HF may cause NPs levels to be elevated. Additionally, there are situations when NP concentrations may be below diagnostic thresholds in [1]. This consensus statement aims to provide a straightforward diagnostic flowchart for clinicians in both the emergency department and outpatient settings to aid in diagnosing both acute and chronic HF. The diagnosis of acute HF can be ruled out with a BNP level of 100 pg/mL or NTproBNP level of 300 pg/mL, regardless of the patient’s age. To identify HF, a 3-level cut-off point based on the patient’s age is recommended. Chronic heart failure can be ruled out with a BNP level of 35 pg/mL or NTproBNP level of 125 pg/mL, regardless of thepatient’s age [1].
文摘Due to France has suffered from many terrorist attacks and the number of visitors to the Louvre has gradually increased in recent years, a good evacuation plan for the Louvre is of vital significance. We use the minimization of the total evacuation time of all tourists as the optimization goal to find an optimal path. For conventional emergencies, a static model is built to evacuate visitors. And then we establish a nonlinear programming model. Using Lingo software, we get the distribution information of the visitors in different exhibition halls. For unconventional emergencies, we establish an adaptive dynamic model of tourist evacuation based on genetic algorithm. The sensitivity analysis of the model is considered by adding new paths. By solving the nonlinear programming problem with the double objective function of maximizing evacuation time and balancing the number of people in every path, we get the evacuation time last 1582.74 s. Finally, according to our result, we built mathematical models for the evacuation after an emergency and analyzed how to adapt and implement our models for other large and crowded structures.
