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Journal of Zhejiang University SCIENCE B
ISSN 1673-1581(Print), 1862-1783(Online), Monthly
2023 Vol.24 No.6 P.463-484
Evolution of the newest diagnostic methods for COVID-19: a Chinese perspective
Abstract: Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a formidable challenge to the world’s healthcare systems, wreaking havoc, and spreading rapidly through human contact. With fever, fatigue, and a persistent dry cough being the hallmark symptoms, this disease threatened to destabilize the delicate balance of our global community. Rapid and accurate diagnosis of COVID-19 is a prerequisite for understanding the number of confirmed cases in the world or a region, and an important factor in epidemic assessment and the development of control measures. It also plays a crucial role in ensuring that patients receive the appropriate medical treatment, leading to optimal patient care. Reverse transcription-polymerase chain reaction (RT-PCR) technology is currently the most mature method for detecting viral nucleic acids, but it has many drawbacks. Meanwhile, a variety of COVID-19 detection methods, including molecular biological diagnostic, immunodiagnostic, imaging, and artificial intelligence methods have been developed and applied in clinical practice to meet diverse scenarios and needs. These methods can help clinicians diagnose and treat COVID-19 patients. This review describes the variety of such methods used in China, providing an important reference in the field of the clinical diagnosis of COVID-19.
Key words: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus disease 2019 (COVID-19); Diagnosis; Polymerase chain reaction (PCR); Immunoassay; Radiography
机构:华中师范大学,物理系,中国武汉,430079
目的:研究钾离子通道阻塞对单个Hodgkin-Huxley神经元和小世界网络中反随机共振(ISR)的影响,并分析背后的动力学机制。
创新点:1.探究钾离子通道阻塞对反随机共振的影响;2.在小世界网络中考虑阻塞不均匀对反随机共振的影响。
方法:1.以放电率作为统计量,研究钾离子通道阻塞对神经元放电率的影响(图2和3);2.通过分岔分析,探究钾离子通道阻塞对反随机共振所产生影响背后的动力学机制(图4);3.探究部分阻塞的神经元网络中反随机共振对耦合强度的依赖性(图8和13);4.通过相空间和网络中神经元的放电分布等分析不同反随机共振曲线背后的动力学机制(图10~12)。
结论:1.对于单个神经元,离子通道噪声引起的ISR现象只发生在较小的钾离子通道阻塞率范围内;分岔分析表明这一小范围是受外部偏置电流影响的双稳态区域。2.对于小世界神经元网络,ISR存在的原因是在中等强度噪声下双稳态神经元的放电受到抑制。3.当双稳态和单稳态神经元之间存在电位差,且耦合强度增加时,抑制作用被抵消。4.在较小的耦合强度下,网络阻塞比的增加会导致ISR持续时间变短;当耦合强度增加时,ISR在网络阻塞比较大的情况下更为明显;ISR现象由网络阻塞比、耦合强度和离子通道噪声共同决定。
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DOI:
10.1631/jzus.B2200625
CLC number:
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On-line Access:
2024-08-27
Received:
2023-10-17
Revision Accepted:
2024-05-08
Crosschecked:
2023-07-21