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Xunbing Huang,Huihui Wu,Xiongbing Tu,Zhuoran Zhang,Hongtian Su,Yongming Shi,Guang-Jun Wang,Guangchun Cao,Xiangqun Nong,Zehua Zhang 한국응용곤충학회 2016 Journal of Asia-Pacific Entomology Vol.19 No.1
Outbreaks of grasshoppers (Orthoptera: Acrididae) often cause serious ecological damage. Recently, there has been interest in using natural enemies of grasshopper for their biological control. This study examined the biology and predation on grasshoppers by Eremias argus, a common lizard in Inner Mongolia. Its developmental duration and life history are consistent with adaptation to grasshopper phenology. The diet structure of E. argus included grasshoppers, beetles, ants, leafhoppers, moths, bees and spiders. A positive correlation between E. argus population numbers and grasshopper population numbers was highly significant. We built models describing the functional response and intraspecific competition for E. argus adults. The functional feeding response of E. argus on grasshopper was classed as Holling type III. The maximum number of grasshoppers consumed by female and male adults were 11.2 and 7.0 individuals per day, respectively. Predatory ability was strongest in female adults, with the second and third instars of Oedaleus asiaticus preferred. The predation ratios(E) of E. argus on grasshoppers declinedwith increasing lizard density, especially for female adult E. argus. E. argus could play an important role in grasshopper control and maintaining a population of E. argus in the grassland ecosystemcould effectively control low-density grasshopper populations on grassland. Suggestions on how E. argus could fit into an IPM programme for biological control of grasshopper are discussed.
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CSI-based human sensing using model-based approaches: a survey
Zhengjie Wang,Zehua Huang,Chengming Zhang,Wenwen Dou,Yinjing Guo,Da Chen 한국CDE학회 2021 Journal of computational design and engineering Vol.8 No.2
Currently, human sensing draws much attention in the field of ubiquitous computing, and human sensing based on WiFi CSI (channel state information) becomes a hot research topic due to the easy deployment and availability of WiFi devices. Although various human sensing applications based on the CSI signal model are emerging, the model-based approach has not been studied thoroughly. This paper provides a comprehensive survey of the latest model-based human sensing methods and their applications. First, the CSI signal and framework of model-based human sensing methods are introduced. Then, related models and fundamental signal preprocessing techniques are described. Next, typical human sensing applications are investigated, and the crucial characteristics are summarized. Finally, the advantages, limitations, and future research trends of model-based human sensing methods are concluded in this paper.
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Yu Xiang,Jinyue He,Ruonan Bai,Huorong Gou,Fei Luo,Xuequan Huang,Zehua Zhang 대한척추신경외과학회 2023 Neurospine Vol.20 No.4
Objective: To investigate the value of Hounsfield units (HUs) as an independent predictor of failed percutaneous drainage of spinal tuberculosis paraspinal abscess under computed tomography (CT) guidance. Methods: A retrospective analysis was conducted on 61 patients who underwent CT-guided percutaneous drainage for spinal tuberculosis paraspinal abscess between October 2017 and October 2020. Preoperative CT scans were used to measure the HUs of the abscess. Patients were categorized into successful drainage (n = 49) and failed drainage (n = 12) groups. Statistical analysis involved independent sample t-tests and chi-square tests to compare between the 2 groups. Binary logistic regression was performed to identify independent predictive factors for drainage failure. Receiver operating characteristic (ROC) curves were employed to ascertain risk factor thresholds and diagnostic performance. Results: Among the patients, 49 experienced successful drainage while 12 faced drainage failure. The mean HUs of abscesses in the failed drainage group were significantly higher than those in the successful drainage group (p < 0.001). ROC analysis revealed an area under the curve of 0.897 (95% confidence interval, 0.808–0.986) for predicting drainage failure based on HUs. The optimal HU cutoff value for predicting drainage failure was 22.3, with a sensitivity of 91.7% and specificity of 69.4%. Conclusion: HUs are an independent predictor of failed percutaneous drainage of spinal tuberculosis paraspinal abscess under CT guidance. The HU value of 22.3 can be used as an initial screening threshold for predicting the success or failure of drainage.
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Low beta superconducting cavity system design for HIAF iLinac
Mengxin Xu,Yuan He,Shengxue Zhang,Lubei Liu,Tiancai Jiang,Zehua Liang,Tong Liu,Yue Tao,Chunlong Li,Qitong Huang,Fengfeng Wang,Hao Guo,Feng Bai,Xianbo Xu,Shichun Huang,Xiaoli Li,Zhijun Wang,Shenghu Zha Korean Nuclear Society 2023 Nuclear Engineering and Technology Vol.55 No.7
A superconducting ion-Linac (iLinac), which is supposed to work as the injector in the High Intensity heavy-ion Accelerator Facility project, is under development at the Institute of Modern Physics (IMP), Chinese Academy of Sciences. The iLinac is a superconducting heavy ion linear accelerator approximately 100 meters long and contains 96 superconducting cavities in two types of 17 cyromodules. Two types of superconducting resonators (quarter-wave resonators with a frequency of 81.25 MHz and an optimal beta β = v/c = 0.07 called QWR007 and half-wave resonators with a frequency of 162.5 MHz and an optimal beta β = 0.15 called HWR015) have been investigated. The cavity design included extensive multi-parameter electromagnetic simulations and mechanical analysis, and its results are described in details. The fundamental power coupler and cavity dynamic tuner designs are also presented in this article. The prototypes are under manufacturing and expected to be ready in 2023.
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