Publications by authors named "S Golzar Adabi"

Background: Spontaneous abortion (SA) is reported to be associated with Fat Mass And Obesity-Associated FTO genotype and dietary intake of selenium. This research assessed the potential interactions between the risk of SA, dietary selenium intake, and the FTO rs9939609 polymorphism.

Methods: This case-control study encompassed 192 women who experienced SA and 347 control participants.

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Objective: This study aimed to explore the ambiguous link between dietary inflammatory indices and sperm parameters. Specifically, it investigated the associations between the dietary inflammatory index (DII) and the energy-adjusted dietary inflammatory index (E-DII) with sperm motility, morphology, and count in men undergoing routine semen analysis.

Methods: A cross-sectional study was conducted with 144 men enrolled, where semen samples were collected and evaluated according to the 2010 World Health Organization guidelines.

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With the development of nanotechnology and its application in various sciences, scientists have investigated the use of nanoparticles as adsorbents to remove heavy metals from aqueous solutions all over the world. So far, the results of many of these studies have been published in reputable journals. Obviously, reviewing these articles and summarizing the results of these studies from different aspects will provide new perspectives for the development of this technology for heavy metals removal from water.

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Article Synopsis
  • Machine learning can work well, but it often struggles to make accurate predictions on new data, which is called out-of-sample generalizability.
  • To solve this problem, researchers are using a method called Federated ML that allows computers to share information about how well they're learning without actually sharing the data itself.
  • In a big study with 71 locations around the world, scientists created a model to help detect brain tumors more accurately, showing a significant improvement compared to older methods and hoping to help with rare illnesses and data sharing in healthcare.
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