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1

Imtiyaz Wani1, Mohsin Amin2, Abhilasha David3

Abstract:
Postoperative infections are the third most commonly reported healthcare associated infection. that occur after surgical procedures can cause a lot of complications like sepsis, organ failure or even death. The most common cause of wound infection regardless of procedure performed remains gram-positive cocci which comprise more than 50% of all infections. Specifically, Staphylococcus aureus and coagulase-negative staphylococci are the most frequent organisms isolated from a wound infection. There has been an increasing incidence of MRSA strains reported in hospitals across the globe. The main aim of our study is isolation, detection and molecular characterization of Staphylococcus aureus from postoperative infections. Samples were collected from post operative patients with infected wounds. The area around the wound was cleaned. Exudates were collected from the wound with a sterile swab stick. The samples were inoculated on different solid culture mediums and the plates were incubated in the presence of oxygen at 37°C overnight. There were many standard procedures done in which tube coagulase was taken as the main criteria. Antibiotic susceptibility testing was done by Kirby Bauer method following Clinical and Laboratory Standards Institute (CLSI) guidelines using commercially available cefoxitin (30 μg) disc (HiMedia) and the results were compared with Staphylococcus aureus ATCC 25923 and MRSA ATCC 43300 control strains. The MRSA strains were identified and detection of Mec A gene that codes for methicillin resistance is done using PCR technique.


1-3
2

Kuljeet1, Manisha2*, Ravinder3

Abstract:
This study analyzes flood events in Punjab, India, in 2025 using Resourcesat-2 AWiFS and Sentinel-2 satellite data combined with GIS and remote sensing techniques. Punjab, known for its fertile alluvial plains and major rivers like the Sutlej, Beas, and Ravi, experienced widespread flooding due to factors such as heavy monsoon rainfall, fast-flowing rivers from upland areas, and topography. The study used pre-processing, layer stacking, atmospheric correction, supervised classification, and digitization to estimate land use and flood-affected areas. The results show that approximately 143,320 hectares of area was affected by floods, with paddy (118,135 hectares) and cotton (328 hectares) being the most affected crops. Gurdaspur, Tarn Taran, Firozpur, and Fazilka districts were the worst affected. Weak dams, illegal sand mining, river alluvial deposits, unplanned construction on floodplains, and inadequate drainage infrastructure exacerbate flooding. The study highlights both natural and anthropogenic factors and emphasizes the need for flood management strategies such as floodplain restoration, improved drainage, and warning systems to reduce future risks.


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  • Indian Journals

  • Swedish Scientific
    Publications

  • The Universal
    Digital Library

  • Green Earth Research
    And Publishing House

  • Rashtriya Research Institute
    Of New Medical Sciences

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