[HTML][HTML] Radiological outcome of bone disease in multiple myeloma patients pre-and post therapy: A single center experience

…, SP Numani, SA Almuthri, RK Vishwakarm… - Saudi Medical …, 2022 - ncbi.nlm.nih.gov
Objectives: To find any correlation between the clinical response as per International Working
Myeloma Group (IWMG) response criteria and the radiological response at the end of …

[HTML][HTML] Renaissance in orthodontics: nanotechnology

N Nambi, NR Shrinivaasan… - … Journal of Orthodontic …, 2016 - orthodrehab.org
Curiosity has its own reason for existing. For thousands of years, humanity has been
harnessing its curiosity into inquiry and the process of scientific methodology. If we consider …

Antibacterial activity of leaf extracts of Pongamia pinnata from India

VK Bajpai, A Rahman, S Shukla, A Mehta… - Pharmaceutical …, 2009 - Taylor & Francis
This study was designed to examine the efficacy of various organic extracts derived from the
leaves of Pongamia pinnata (L.) Pierre (Fabaceae) for antibacterial potential against some …

[PDF][PDF] Advances in Agriculture for Doubling of Farmer's Income

S Jain, N Verma - empyrealpublishinghouse.com
Though agriculture accounts for as much as a quarter of the Indian economy and employs an
estimated 60 percent of the labor force, still it is considered highly inefficient, wasteful, and …

[PDF][PDF] Health benefits of various Indian culinary herbs and comparative statistical analysis for organoleptic properties of Indian teas by using analysis of variance …

S Kundu, R Ghosh, P Choudhary, A Prakash - Int J Pharm Pharm Sci, 2014 - academia.edu
Objective: To statistically evaluate and compare the organoleptic properties of various
Indian herbal teas (ginger, Tulsi, mint and cardamom). Methods: The combination of various …

[CITATION][C] Accurate Diagnosis Of Cardiac Disease With And Without Using Gridsearchcv

…, SA Jarpula, V Srinu, K Reddy, BNK Rao, KP Kumar… - ieeexplore.ieee.org
… Sucheth Shenoy, Vignesh Rb, Ramesh S Sharma And VL Janatha Guptha. Data-Driven
Identification Of High-Risk Patients For Ckd-Machine Learning Perspective…………………………