Recursive least squares estimation methods for a class of nonlinear systems based on non-uniform sampling

Many dynamic processes in practice have nonlinear characteristics and must be described by using nonlinear models. It remains to be a challenging problem to build the models of such nonlinear systems and to estimate their parameters. This article studies the parameter estimation problem for a class of Hammerstein-Wiener nonlinear systems based on non-uniform sampling. By means of the auxiliary model identification idea, an auxiliary model-based recursive least squares algorithm is derived for the systems. In order to enhance the computational efficiency, an auxiliary model-based hierarchical least squares algorithm is proposed by utilizing the hierarchical identification principle. The simulation results confirm the effectiveness of the proposed algorithms.     

Bioprospecting for brewers: Exploiting natural diversity for naturally diverse beers

The burgeoning interest in archaic, traditional, and novel beer styles has coincided with a growing appreciation of the role of yeasts in determining beer character as well as a better understanding of the ecology and biogeography of yeasts. Multiple studies in recent years have highlighted the potential of wild Saccharomyces and non-Saccharomyces yeasts for production of beers with novel flavour profiles and other desirable properties. Yeasts isolated from spontaneously fermented beers as well as from other food systems (wine, bread, and kombucha) have shown promise for brewing application, and there is evidence that such cross-system transfers have occurred naturally in the past. We review here the available literature pertaining to the use of nonconventional yeasts in brewing, with a focus on the origins of these yeasts, including methods of isolation. Practical aspects of utilizing nondomesticated yeasts are discussed, and modern methods to facilitate discovery of yeasts with brewing potential are highlighted.     

Review of lithium-ion battery state of charge estimation

The technology deployed for lithium-ion battery state of charge (SOC) estimation is an important part of the design of electric vehicle battery management systems. Accurate SOC estimation can forestall excessive charging and discharging of lithium-ion batteries, thereby improving discharge efficiency and extending cycle life. In this study, the key lithium-ion battery SOC estimation technologies are summarized. First, the research status of lithium-ion battery modeling is introduced. Second, the main technologies and difficulties in model parameter identification for lithium-ion batteries are discussed. Third, the development status and advantages and disadvantages of SOC estimation methods are summarized. Finally, the current research problems and prospects for development trends are summarized.     

A simple screen to detect hybrids between native and introduced Phragmites australis in the United States and Canada

In much of the United States and Canada, the common reed consists of both a native subspecies Phragmites australis americanus, and a highly invasive introduced subspecies P. australis australis. DNA testing is generally used to distinguish them definitively and is necessary to detect hybridization. We report a group of single nucleotide polymorphisms and indels in the nuclear NRT2 gene of Phragmites that differentiate North American native and European-introduced populations. All native samples tested were identical in NRT2 sequence over 1564 bases except for two positions. There were nine positions, consisting of seven base substitutions and two indels, at which all introduced samples were fixed for a different allele than the native samples. For the two indels, samples collected from northern Europe were also fixed for the same allele as the introduced samples collected across North America. One of the indels was easily detected by a PCR-RFLP assay and provides a rapid and inexpensive way to screen for hybrids between native and European-introduced populations of Phragmites and thus can facilitate more widespread surveillance for hybrids between native and introduced populations in North America.     

基于 GA-SVM 算法的通信网络入侵信号自动识别技术

针对当前通信系统入侵行为自动识别技术存在入侵信号样本识别成功率较低、误识别率和漏识别率较高的问题,提出基于 GA-SVM 算法的通信网络入侵信号自动识别技术。利用混沌原理提取通信网络入侵的非平稳信号时域特征,并凭借自回归模型提取对应频域特征,捕捉邻域入侵信号间的非线性时空动作频率,评价相邻行为间的状态关联性,预测入侵信号后续行为,完成入侵信号的识别。实验表明,所提方法识别精度高、误识别率较低,漏识别率非常低,具有可应用于实际的理论价值。     

一起误食光硬皮马勃中毒事件调查

目的 对2019年9月4日发生在云南省楚雄彝族自治州的一起误食光硬皮马勃中毒事件进行调查分析,明确中毒原因,总结中毒特点及救治方法,为该蘑菇中毒事件的处置提供借鉴。方法 收集中毒病例资料、进行流行病学调查、对蘑菇样品进行形态学和分子生物学鉴定。结果 2例患者各进食了约50 g购买于市场的马勃后,出现了腹痛、恶心、呕吐、腹泻及低血压的症状,潜伏期0.5～1 h,经过对症治疗后好转出院。蘑菇标本经形态学和分子生物学鉴定为光硬皮马勃。结论 此次事件是因误食光硬皮马勃引起的急性中毒事件。光硬皮马勃与可食用的云南硬皮马勃外形相似,常因误食而中毒。鉴于很多毒蘑菇与一些食用菌形态上极为相似而导致误采误食,建议不要随意采食野生蘑菇。