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"Li, Yong"
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Earthquake and disaster risk : decade retrospective of the Wenchuan earthquake
This book presents review papers and research articles focusing on the 2008 Wenchuan earthquake in Sichuan, China, discussing cross-disciplinary and multiple thematic aspects of modern seismological, geophysical, geological and stochastic methodology and technology. Resulting from international and regional earthquake research and disaster mitigation collaborations, and written by international authors from multiple institutions and disciplines, it describes methods and techniques in earthquake science based on investigations of the Wenchuan earthquake. It also includes extensive reference lists to aid further research.
Book
The research on landslide detection in remote sensing images based on improved DeepLabv3+ method
In response to issues with existing classical semantic segmentation models, such as inaccurate landslide edge extraction in high-resolution images, large numbers of network parameters, and long training times, this paper proposes a lightweight landslide detection model, Landslide Detection Network (LDNet), based on DeepLabv3+ and a dual attention mechanism. LDNet uses the lightweight network MobileNetv2 to replace the Xception backbone of DeepLabv3+, thereby reducing model parameters and improving training speed. Additionally, the model incorporates a dual attention mechanism from the lightweight Convolutional Block Attention Module to more accurately and efficiently detect landslide features. The model underwent dataset creation, training, detection, and accuracy evaluation. Results show that the improved LDNet model significantly enhances reliability in landslide detection, achieving values of 93.37%, 91.93%, 92.64%, 86.30%, 89.79%, and 95.28% for precision (P), recall (R), F1-score (F1), intersection over union (IoU), mean IoU (mIoU), and overall accuracy (OA), respectively, representing improvements of 14.81%, 13.25%, 14.02%, 14.58%, 14.27%, and 13.71% compared to the original DeepLabv3+ network. Moreover, LDNet outperforms classical semantic segmentation models such as UNet, PSPNet, DeepLabv3+, HRNet and Swin Transformer in terms of recognition accuracy, while having significantly fewer parameters and shorter training times. The model also demonstrates good generalization capability in tests conducted in other regions, ensuring extraction accuracy while significantly reducing the number of parameters. It meets real-time requirements, enabling rapid and accurate landslide detection, and shows promising potential for widespread application.
Journal Article
Shakespeare in Asia : contemporary performance
\"Addressing both theoretical and practical questions surrounding Shakespeare in contemporary Asia, this book asks why Shakespeare has been of use in these vast regions of the world that have no need to call on him.\"--Provided by publisher.
BOOK
Potential Presymptomatic Transmission of SARS-CoV-2, Zhejiang Province, China, 2020
We report a 2-family cluster of persons infected with severe acute respiratory syndrome coronavirus 2 in the city of Zhoushan, Zhejiang Province, China, during January 2020. The infections resulted from contact with an infected but potentially presymptomatic traveler from the city of Wuhan in Hubei Province.
Journal Article
حيوية شينجيانغ
يتناول كتاب (حيوية شينجيانغ) الإنجازات والنتائج المتميزة التي حققتها شينجيانغ منذ عهد الإصلاح والانفتاح تحت قيادة اللجنة المركزية للحزب الشيوعي الصيني وفي ظل الجهود المشتركة بين كافة القوميات بشينجيانغ معتمدا على التغيير والتنمية التي حظيت بها شينجيانغ في العصر الحديث، وذلك من خلال مجموعة من الجوانب مثل تطور النقل والمواصلات بشينجيانغ والتحضر والزراعة والصناعة والقضايا الاجتماعية والجوانب المعيشية وغيرها، كما استعرض الكتاب الحياة السعيدة التي تمتعت بها كافة قوميات شينجيانغ في ظل العصر الحديث. وهكذا يكون الكتاب قد قدم للقارئ شينجيانغ الحيوية التي تتمتع بالنشاط والعزيمة.
Book
Identification of a novel coronavirus causing severe pneumonia in human: a descriptive study
Human infections with zoonotic coronaviruses (CoVs), including severe acute respiratory syndrome (SARS)-CoV and Middle East respiratory syndrome (MERS)-CoV, have raised great public health concern globally. Here, we report a novel bat-origin CoV causing severe and fatal pneumonia in humans.
We collected clinical data and bronchoalveolar lavage (BAL) specimens from five patients with severe pneumonia from Wuhan Jinyintan Hospital, Hubei province, China. Nucleic acids of the BAL were extracted and subjected to next-generation sequencing. Virus isolation was carried out, and maximum-likelihood phylogenetic trees were constructed.
Five patients hospitalized from December 18 to December 29, 2019 presented with fever, cough, and dyspnea accompanied by complications of acute respiratory distress syndrome. Chest radiography revealed diffuse opacities and consolidation. One of these patients died. Sequence results revealed the presence of a previously unknown β-CoV strain in all five patients, with 99.8% to 99.9% nucleotide identities among the isolates. These isolates showed 79.0% nucleotide identity with the sequence of SARS-CoV (GenBank NC_004718) and 51.8% identity with the sequence of MERS-CoV (GenBank NC_019843). The virus is phylogenetically closest to a bat SARS-like CoV (SL-ZC45, GenBank MG772933) with 87.6% to 87.7% nucleotide identity, but is in a separate clade. Moreover, these viruses have a single intact open reading frame gene 8, as a further indicator of bat-origin CoVs. However, the amino acid sequence of the tentative receptor-binding domain resembles that of SARS-CoV, indicating that these viruses might use the same receptor.
A novel bat-borne CoV was identified that is associated with severe and fatal respiratory disease in humans.
Journal Article
Impact of magnetostriction mechanism on frequency manipulation ultrasonic steering in electromagnetic acoustic transducers
In this paper, the impact of the magnetostriction mechanism is considered as the focus. An axisymmetric FEM model of the spiral‐coil electromagnetic acoustic transducers (EMAT) is established to conduct the simulation. The simulation results demonstrate that the directivity of ultrasonic wave can be controlled by manipulating the frequency. Furthermore, it is found that the direction of the dominant Lorentz force in the rail varies with time, while the magnetostrictive force compels the ultrasonic wave generated by the Lorentz force towards the axis. It effectively illustrates that the combined power of two mechanisms surpasses that of the Lorentz‐force mechanism alone, particularly at low frequencies. The leakage of the reflected energy of the ultrasonic wave generated by electromagnetic acoustic transducers (EMAT) is outside the receiving range and then weakens the amplitude of ultrasonic echo. To reduce the leakage of the reflected energy, this paper takes the impact of magnetostriction mechanism on frequency manipulation ultrasonic steering in EMAT, especially at low frequency.
Journal Article
Green Innovation and Performance: The View of Organizational Capability and Social Reciprocity
Synthesizing insights from a dynamic capability perspective and social network theory, this study identifies the factors influencing green innovation and examines the relationships between influencing factors, green innovation, and performance. This study uses structural equation modeling to test the research hypotheses. The results indicate that dynamic capability, coordination capability, and social reciprocity are significant drivers of green innovation, including green product innovation and green process innovation. Green product and process innovation have positive effects on environmental performance and organizational performance. These findings are relevant to firms in quest of green management and innovation.
Journal Article