Publications by authors named "M Numan"

Endocrine-disrupting chemicals can induce metabolic alterations, resulting in diseases such as obesity, diabetes, and fatty liver disease, which can be inherited by offspring inhabiting uncontaminated environments. Bisphenol A (BPA), a well-known endocrine disruptor, can induce endocrine disruption, leading to metabolic disorders in subsequent generations without further exposure to BPA via nongenetic transgenerational inheritance. Using medaka as an animal model, we reported that ancestral BPA exposure leads to transgenerational nonalcoholic fatty liver disease (NAFLD) in grandchildren four generations after the initial exposure.

View Article and Find Full Text PDF
Article Synopsis
  • Work-related musculoskeletal disorders (WRMD) are common among surgeons, especially orthopedic surgeons, but little research exists on this issue in Saudi Arabia.
  • A systematic review of studies from 2000 to June 2024 found that nine studies involving 490 orthopedic surgeons showed WRMD prevalence ranging from 36% to 90.3%, primarily affecting the lower back.
  • The research indicates a strong connection between WRMD and factors like smoking and age, suggesting that orthopedic residency programs should incorporate ergonomics training to help address these concerns.
View Article and Find Full Text PDF

The genus is notably diverse within the family Argasidae, comprising approximately 134 species distributed among 4 subgenera, 1 of which is the subgenus . In an earlier study, we identified distinct soft ticks as () sp., which were collected from animal shelters in Khyber Pakhtunkhwa, Pakistan.

View Article and Find Full Text PDF

is known to cause hospital-acquired infections, primarily in immunocompromised patients. Recently, a distinct syndrome of community-acquired invasive infection has been observed, mainly in the Southeast Asian population. This syndrome is associated with disseminated infection and the formation of multiple organ abscesses.

View Article and Find Full Text PDF
Article Synopsis
  • Human Activity Recognition (HAR) and Ambient Assisted Living (AAL) are important for smart homes, sports, and surveillance.
  • Researchers are using lightweight wearable sensors instead of cameras to protect the privacy of older people while tracking daily activities.
  • The study uses advanced techniques to analyze data from these sensors and successfully identified activities with over 98% accuracy using deep learning models.
View Article and Find Full Text PDF