Zobrazeno 1 - 10
of 933
pro vyhledávání: '"Mohd A Shah"'
Autor:
Abdul Hamid Ganie, N. S. Alharthi, Adnan Khan, Abdulkafi Mohammed Saeed, Mohd Asif Shah, Saurav Mallik
Publikováno v:
Journal of Inequalities and Applications, Vol 2024, Iss 1, Pp 1-28 (2024)
Abstract In general, integer order differential equations fall short of adequately describing a range of phenomena in many disciplines of science and engineering when compared to fractional order differential equations. In the context of the Caputo f
Externí odkaz:
https://doaj.org/article/302fbc191cd14d57bae02d9f9ad15618
Autor:
Sajida Shahnum, Mohd Sajid Shah
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-16 (2024)
Abstract Water and food are interconnected elements crucial for agricultural production and food security. While sufficient water resources have facilitated significant food production, intensive agricultural practices have contributed to the degrada
Externí odkaz:
https://doaj.org/article/4794fd3caeb04b109aa91ecb248a5f6a
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-22 (2024)
Abstract Detecting brain tumors early on is critical for effective treatment and life-saving efforts. The analysis of the brain with MRI scans is fundamental to the diagnosis because it contains detailed structural views of the brain, which is vital
Externí odkaz:
https://doaj.org/article/e0e53f06c6e8469ca13f8644ba769af0
Autor:
Rajkumar Prabhakaran, Rajkumar Thamarai, Sivabalan Sivasamy, Sivanesan Dhandayuthapani, Jyoti Batra, Chinnaperumal Kamaraj, Krishnasamy Karthik, Mohd Asif Shah, Saurav Mallik
Publikováno v:
Epigenetics & Chromatin, Vol 17, Iss 1, Pp 1-26 (2024)
Abstract Cancer has arisen from both genetic mutations and epigenetic changes, making epigenetics a crucial area of research for innovative cancer prevention and treatment strategies. This dual perspective has propelled epigenetics into the forefront
Externí odkaz:
https://doaj.org/article/d7e8adf536474b2d912bd92ba56da165
Autor:
Jehad Zuhair Tayyeb, Ajay Guru, Karthikeyan Kandaswamy, Divya Jain, Chandrakumar Manivannan, Khairiyah Binti Mat, Mohd Asif Shah, Jesu Arockiaraj
Publikováno v:
BMC Biotechnology, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Wound infections resulting from pathogen infiltration pose a significant challenge in healthcare settings and everyday life. When the skin barrier is compromised due to injuries, surgeries, or chronic conditions, pathogens such as bacteria,
Externí odkaz:
https://doaj.org/article/dbe86c25b5124e04964f2e22012f1990
Autor:
Zeeshan A Wani, Riyaz A Baht, Ajeet S Bhadoria, Rakhi Maiwall, Yamin Majeed, Afaq A Khan, Showkat A Zargar, Mohd A Shah, Kaiser M Khan
Publikováno v:
The Saudi Journal of Gastroenterology, Vol 21, Iss 5, Pp 278-283 (2015)
Background/Aims: Literature regarding safe doses of carvedilol is limited, and safe doses across different Child classes of chronic liver disease are not clear. Patients and Methods: A total of 102 consecutive cirrhotic patients with significant port
Externí odkaz:
https://doaj.org/article/c28ab6a101764d8aa9c35df6c98dd615
Autor:
Siew Wei Ling, Chee Chean Lim, Mohamad Fuad Shah Bin Mohd Damanhuri Shah, Philip Rajan Devesahayam
Publikováno v:
Journal of International Advanced Otology, Vol 20, Iss 5, Pp 458-461 (2024)
Granular myringitis is a chronic inflammatory condition of the tympanic membrane that does not involve the middle ear. Various treatment modalities have been proposed for the treatment of granular myringitis, but there is no standard treatment regime
Externí odkaz:
https://doaj.org/article/5ab68442156448d1bcf6d2c894ffd4f5
Autor:
Gayathri R, Maheswari S, Sandeep Kumar Mathivanan, Basu Dev Shivahare, Radha Raman Chandan, Mohd Asif Shah
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract The goal of this research is to create an ensemble deep learning model for Internet of Things (IoT) applications that specifically target remote patient monitoring (RPM) by integrating long short-term memory (LSTM) networks and convolutional
Externí odkaz:
https://doaj.org/article/cf2b80879bca4f67a2ac94924ecdd80c
Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Sleep deprivation is a critical issue that affects workers in numerous industries, including construction. It adversely affects workers and can lead to significant concerns regarding their health, safety, and overall job performance. Several
Externí odkaz:
https://doaj.org/article/7230d1c1dc9a405d8a546ed4216f2708
Publikováno v:
Boundary Value Problems, Vol 2024, Iss 1, Pp 1-20 (2024)
Abstract In this work, we use two unique methodologies, the homotopy perturbation transform method and Yang transform decomposition method, to solve the fractional nonlinear seventh-order Kaup–Kupershmidt (KK) problem. The physical phenomena that a
Externí odkaz:
https://doaj.org/article/f284bab453ca44d8a91ac5136c6fd0d9