Research on Critical Angle of Rock Slope with Infiltration Pressure

ICCTP 2010 ◽  
2010 ◽  
Author(s):  
Sichang Wang ◽  
Xuesen She ◽  
Zhijun Zhou
MedienJournal ◽  
2017 ◽  
Vol 37 (3) ◽  
pp. 32-44 ◽  
Author(s):  
Ksenija Vidmar Horvat

 This paper investigates visual representations of migrants in Slovenia. The focus is on immigrant groups from China and Thailand and the construction of their ‘ethnic’ presence in postsocialist public culture. The aim of the paper is to provide a critical angle on the current field of cultural studies as well as on European migration studies. The author argues that both fields can find a shared interest in mutual theoretical and critical collaboration; but what the two traditions also need, is to reconceptualize the terrain of investigation of Europe which will be methodologically reorganized as a post- 1989 and post-westernocentric. Examination of migration in postsocialism may be an important step in drawing the new paradigm.


Author(s):  
Flávio Affonso Ferreira Filho ◽  
Romero César Gomes ◽  
Teófilo Aquino Vieira da Costa

Author(s):  
Yunming Aocun ◽  
Yapin Lv ◽  
Qingan Wang ◽  
Tianwei Xia

Author(s):  
Zhihong Dong ◽  
Xiuli Ding ◽  
Shuling Huang ◽  
Yongjin Wu ◽  
Aiqing Wu

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Guangzhong Ma ◽  
Runli Liang ◽  
Zijian Wan ◽  
Shaopeng Wang

AbstractQuantification of molecular interactions on a surface is typically achieved via label-free techniques such as surface plasmon resonance (SPR). The sensitivity of SPR originates from the characteristic that the SPR angle is sensitive to the surface refractive index change. Analogously, in another interfacial optical phenomenon, total internal reflection, the critical angle is also refractive index dependent. Therefore, surface refractive index change can also be quantified by measuring the reflectivity near the critical angle. Based on this concept, we develop a method called critical angle reflection (CAR) imaging to quantify molecular interactions on glass surface. CAR imaging can be performed on SPR imaging setups. Through a side-by-side comparison, we show that CAR is capable of most molecular interaction measurements that SPR performs, including proteins, nucleic acids and cell-based detections. In addition, we show that CAR can detect small molecule bindings and intracellular signals beyond SPR sensing range. CAR exhibits several distinct characteristics, including tunable sensitivity and dynamic range, deeper vertical sensing range, fluorescence compatibility, broader wavelength and polarization of light selection, and glass surface chemistry. We anticipate CAR can expand SPR′s capability in small molecule detection, whole cell-based detection, simultaneous fluorescence imaging, and broader conjugation chemistry.


Landslides ◽  
2021 ◽  
Author(s):  
Chiara Crippa ◽  
Elena Valbuzzi ◽  
Paolo Frattini ◽  
Giovanni B. Crosta ◽  
Margherita C. Spreafico ◽  
...  

AbstractLarge slow rock-slope deformations, including deep-seated gravitational slope deformations and large landslides, are widespread in alpine environments. They develop over thousands of years by progressive failure, resulting in slow movements that impact infrastructures and can eventually evolve into catastrophic rockslides. A robust characterization of their style of activity is thus required in a risk management perspective. We combine an original inventory of slow rock-slope deformations with different PS-InSAR and SqueeSAR datasets to develop a novel, semi-automated approach to characterize and classify 208 slow rock-slope deformations in Lombardia (Italian Central Alps) based on their displacement rate, kinematics, heterogeneity and morphometric expression. Through a peak analysis of displacement rate distributions, we characterize the segmentation of mapped landslides and highlight the occurrence of nested sectors with differential activity and displacement rates. Combining 2D decomposition of InSAR velocity vectors and machine learning classification, we develop an automatic approach to characterize the kinematics of each landslide. Then, we sequentially combine principal component and K-medoids cluster analyses to identify groups of slow rock-slope deformations with consistent styles of activity. Our methodology is readily applicable to different landslide datasets and provides an objective and cost-effective support to land planning and the prioritization of local-scale studies aimed at granting safety and infrastructure integrity.


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