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Aparna Mahalik 대한핵의학회 2024 핵의학 분자영상 Vol.58 No.3
The prevalence of double primary prostate and bladder cancer is not uncommon. Though both share a common pathway ofmalignant transformation, they bear to differ in the case of 2-[18F]FDG PET/CT and [68Ga]Ga-PSMA uptake. We presenta case of double primary cancer involving the bladder and prostate, where the prostatic primary showed intense [68Ga]Ga-PSMA uptake with non-avid skeletal and pulmonary metastases, which showed intense 2-[18F]FDG uptake, thus showingdiscordance due to different clonal origins.
Mantu Kumar Mahalik,Thai-Ha Le,Ha-Chi Le,Sushree Subhadra 중앙대학교 경제연구소 2022 Journal of Economic Development Vol.47 No.3
This study examines the impact of higher education on primary energy consumption and non-renewable energy usage for the world’s five largest greenhouse gas emitters, namely, China, the United States, India, Russia, and Japan. Autoregressive distributed lag (ARDL)-bounds testing approach to cointegration is employed to annual data series taken from the World Bank’s World Development Indicators over the period 1971-2015. The empirical findings validate a U-shaped relationship between higher education and non-renewable energy for Japan, whereas higher education level increases it for China in the long run. Higher education level appears to discourage the usage of non-renewable energy in India and Russia in the long run, but not so effective. From a policy perspective, it urges governments of these economies to provide effective environmental education and knowledge to their people so that non-renewable energy usage would be lowered for a better environmental quality.
MANTU KUMAR MAHALIK,HRUSHIKESH MALLICK 한국국제경제학회 2011 International Economic Journal Vol.25 No.2
This study examines the dynamic causal relationships between house prices and their five determinants – real income, short-run real interest rates, real stock price index, real effective exchange rate, and real non-food bank credit – by using the quarterly data from 1996:Q1 to 2007:Q1 for India. Using the cointegration test and the vector error-correction model (VECM), the study finds that in the long run, real income significantly and positively influences the housing prices while real non-food bank credit adversely influences it. The variance decomposition results suggest that it is the shocks to the non-food bank credit that mainly explains the variability in housing prices, besides its own shocks being the most influential while other factors are not significant. This suggests that the role of credit availability as a supply side determinant cannot be underestimated in the dynamic behaviour of housing prices in emerging economies.