Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Aizaz Ali Shah"'
Publikováno v:
Journal Riphah College of Rehabilitation Sciences, Vol 11, Iss 02 (2023)
Background: Poliomyelitis is a paralytic & highly infectious disease caused by a virulent virus from the Picornaviridae family. It is one of the oldest diseases and has been mentioned in Egyptian drawings as well. Objectives: To determine the Quali
Externí odkaz:
https://doaj.org/article/f9d499b781564e818c215a0eeb5fc8be
Publikováno v:
Nuclear Engineering and Technology.
Publikováno v:
Applied Nanoscience.
Publikováno v:
Pakistan Journal of Medical and Health Sciences. 16:991-993
Objective: The purpose of this study was to examine the types of fractures sustained and damage patterns among bike trauma patients who were sent to the emergency department. Study design: Retrospective study Place and duration of study: Department o
Autor:
Aizaz Ali Shah
Publikováno v:
Global Multimedia Review. :8-19
Media now holds a prominent place in public life. Media outlets serve as a faster platform for spreading news and knowledge. Media news widely influences public voting behavior and public opinions towards politics,both media and politics are interdep
Publikováno v:
Volume 2, Issue 2. 2:30-36
Since Independence in 1947, Pakistan's foreign policy has been indo-centric. There were two main goals that drove foreign policy decisions during the 1947-55 period: security and foreign economic aid. Rather than going to the Soviet Union to achieve
Autor:
Raza Askari, Muhammad Siraj, Kamran Asghar, Waqar Ahmed, Aizaz Ali Shah, Muhammad Ahmed Saleemi
Publikováno v:
Pakistan Journal of Medical and Health Sciences. 16:362-364
Objective: To find the functional-outcomes of non-operative treatment in proximal-humeral fracture of adults. Study Design: Prospective study Place and Duration of Study: Department of Orthopedic, Khyber Teaching Hospital, Peshawar from 1st January 2
Publikováno v:
Algorithms, Vol 12, Iss 9, p 192 (2019)
The information bottleneck method is a generic clustering framework from the field of machine learning which allows compressing an observed quantity while retaining as much of the mutual information it shares with the quantity of primary relevance as
Externí odkaz:
https://doaj.org/article/029ca354749c4318892f3cf1c60577d3
Autor:
Syed Aizaz Ali Shah, Naveeda Akhtar Qureshi, Muhammad Zahid Qureshi, Saleh S. Alhewairini, Anber Saleem, Adnan Zeb
Publikováno v:
Saudi Journal of Biological Sciences. 30:103646
Publikováno v:
Journal of Energy Storage. 55:105667