Zobrazeno 1 - 10
of 1 382
pro vyhledávání: '"Nikam, P. P."'
Autor:
Snehal Shivaji Shelke, Varsha P Jamale, Asma Arif Hussain, Mohan S Kale, Balkrishna P Nikam, Mansi Milind Bhatt
Publikováno v:
Clinical Dermatology Review, Vol 8, Iss 4, Pp 318-325 (2024)
Context: About 10% of all the dermatological conditions are comprised nail disorders. It is challenging for the dermatologists to diagnose nail disorders quickly without the help of invasive procedures. Aims: The aim of the study was to evaluate onyc
Externí odkaz:
https://doaj.org/article/96a60c5384cc40daba6b77fd39b24d40
Autor:
Rakesh Mishra, Abhishek Nikam, Jitendra Hiwarkar, Tanaji Nandgude, Jayendrasing Bayas, Satish Polshettiwar
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 10, Iss 1, Pp 1-15 (2024)
Abstract Background Male infertility presents global challenges, as current drug-based treatments demonstrate limited effectiveness due to an incomplete understanding of dysfunctions within the reproductive system. However, there is growing optimism
Externí odkaz:
https://doaj.org/article/a33782abea2f4b3e820a312f1358fb99
Publikováno v:
Clinical Dermatology Review, Vol 8, Iss 4, Pp 378-380 (2024)
Externí odkaz:
https://doaj.org/article/931123d3df3d4160850172f84e89bef5
Autor:
Utsavi Tejas Modi, Pramod Vaijnath Nagure, Vasudha Ravindra Nikam, Tejaskumar bankimbabu Modi, Tejas Sudhakar shetty
Publikováno v:
International Journal of Anatomy Radiology and Surgery, Vol 13, Iss 05, Pp 08-10 (2024)
Rhabdomyolysis is a rare condition characterised by muscle oedema and inflammation. Radiological imaging, particularly Magnetic Resonance Imaging (MRI), plays a crucial role in the diagnosis and management of patients with muscle injuries. Hereby, th
Externí odkaz:
https://doaj.org/article/7ee34f211f304f898675ff189344768f
Publikováno v:
Indian Journal of Dermatology, Vol 69, Iss 4, Pp 359-361 (2024)
Externí odkaz:
https://doaj.org/article/6c1324c428d34b7fb9cd43eea8cb30c2
Autor:
Sampada S. Nikam, Vikram Gota, Prakash C. Gupta, Namrata Puntambekar, Arjun Singh, Pankaj Chaturvedi, Peter W. Villalta, Dorothy K. Hatsukami, Jasjit S. Ahluwalia, Saonli Basu, Samir S. Khariwala, Irina Stepanov
Publikováno v:
The Lancet Regional Health - Southeast Asia, Vol 29, Iss , Pp 100457- (2024)
Summary: Background: India has the highest incidence worldwide of smokeless tobacco (SLT)-associated oral cancer, accounting for nearly 70% of all SLT users globally. Nicotine and tobacco-specific N-nitrosamines (TSNA) play critical roles in the addi
Externí odkaz:
https://doaj.org/article/b3907a11114e4525b5c61663a69749fd
Publikováno v:
Iranian Journal of Materials Science and Engineering, Vol 21, Iss 1, Pp 1-10 (2024)
The trimanganese tetraoxide (Mn3O4) nanostructured thin films doped with 2 mol % of nickel (Ni) and molybdenum (Mo) ions were deposited by a simple electrophoretic deposition technique. The structural, optical, and morphological studies of these dope
Externí odkaz:
https://doaj.org/article/86fc6b174f514e73b754adcb8b849ea4
Autor:
K. S. Lokesh, D. Shrinivasa Mayya, H. L. Yashwanth, I. S. Sharanya, Hrithika Nikam, K. L. Channa Keshava Reddy, Shashank Kumar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Research on Bio-based natural fiber material promoted the development of reinforcement and expand their possible structural applications. In this study, fibers are extracted from the stem of Calamus rotang (common rattan-Indian Species). Fur
Externí odkaz:
https://doaj.org/article/1b5fb6fff2174e3492b9da0b3fb6de73
Autor:
Darapaneni, Narayana, Kherde, Vaibhav, Rao, Kameswara, Nikam, Deepali, Katdare, Swanand, Shukla, Anima, Lomate, Anagha, Paduri, Anwesh Reddy
The new alternative is to use deep learning to inpaint any image by utilizing image classification and computer vision techniques. In general, image inpainting is a task of recreating or reconstructing any broken image which could be a photograph or
Externí odkaz:
http://arxiv.org/abs/2204.02591
Clouds and snow have similar spectral features in the visible and near-infrared (VNIR) range and are thus difficult to distinguish from each other in high resolution VNIR images. We address this issue by introducing a shortwave-infrared (SWIR) band w
Externí odkaz:
http://arxiv.org/abs/2201.02350