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Landslide is a natural hazard which carries water, mud, debris and sometimes large boulders. Earthquakes, heavy rainfall and tectonic forces are natural responsible factors for landslides, whereas overpopulation and rapid development in the hilly region are unnatural factors which involve human activities such as construction/maintenance of roads, highways, railways and buildings by the unplanned excavation of rock slopes. Both natural and unnatural factors have been accountable for the increase in the probability of landslides in the past few decades. In the present study, stability analysis of rock slopes has been carried out along Kulikawn to Saikhamakawn road section of Aizawl. Kinematic analysis has been performed to identify the road cut slopes which have the potential to fail, and mainly two types of failures were found, i.e., wedge and topple failure. In order to check the stability of road cut slopes, Geological Strength Index, slope mass rating (SMR) and continuous slope mass rating (CoSMR) have been used in this study. Numerical modelling has also been performed to assess the stability of the road cut slope. The maximum displacement of 0.79 m with a maximum velocity of 0.78 m/s has been found for rock slope at location L1 using numerical modelling which confirms the finding from kinematic analysis, SMR and CoSMR analysis.

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Gynecologic malignancies are among the most common cancers in women worldwide and account for significant morbidity and mortality. Management and consequently overall patient survival is reliant upon early detection, accurate staging and early detection of any recurrence. Ultrasound, Computed Tomography (CT), Magnetic resonance imaging (MRI) and Positron Emission Tomography-Computed Tomography (PET-CT) play an essential role in the detection, characterization, staging and restaging of the most common gynecologic malignancies, namely the cervical, endometrial and ovarian malignancies. Recent advances in imaging including functional MRI, hybrid imaging with Positron Emission Tomography (PET/MRI) contribute even more to lesion specification and overall role of imaging in gynecologic malignancies. Radiomics is a neoteric approach which aspires to enhance decision support by extracting quantitative information from radiological imaging.

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