We carefully read the correspondence [...].
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| http://dx.doi.org/10.3390/jcm12237224 | DOI Listing |
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Zhejiang Provincial Hospital of Integrated Traditional Chinese and Western Medicine, Zhejiang, 310003, People's Republic of China.
Patients with selective IgA deficiency could have various clinical presentations ranging from asymptomatic to severe respiratory or gastrointestinal tract infection, as well as autoimmune disease and allergic reactions. Selective IgA deficiency is relatively common in Caucasians, but it is rare in the Asian population, meaning it could be easily missed in the clinic. In this study, we report a 26-year-old man with a history of asthma and nephrotic syndrome.
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In the face of forest fire emergencies, fast and efficient dispatching of rescue vehicles is an important means of mitigating the damage caused by forest fires, and is an effective method of avoiding secondary damage caused by forest fires, minimizing the damage caused by forest fires to the ecosystem, and mitigating the losses caused by economic development. this paper takes the actual problem as the starting point, constructs a reasonable mathematical model of the problem, for the special characteristics of the emergency rescue vehicle scheduling problem of forest fires, taking into account the actual road conditions in the northern pristine forest area, through the analysis of the cost of paths between the forest area and the highway, to obtain the least obstructed rescue paths, to narrow the gap between the theoretical model and the problem of the actual. Improvement of ordinary genetic algorithm, design of double population strategy selection operation, the introduction of chaotic search initialization population, to improve the algorithm's solution efficiency and accuracy, through the northern pristine forest area of Daxing'anling real forest fire cases and generation of large-scale random fire point simulation experimental test to verify the effectiveness of the algorithm, to ensure that the effectiveness and reasonableness of the solution to the problem of forest fire emergency rescue vehicle scheduling program.
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