Publications by authors named "M R Irshad"

We report the precise measurements of the cross section of e^{+}e^{-}→hadrons at center-of-mass energies from 3.645 to 3.871 GeV.

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Pakistan, like many other regions around the world, is experiencing the impacts of climate change, particularly in its northern region. These changes have adverse impacts on ecosystems and biodiversity. Herein, we have investigated future projections of temperature and precipitation trends for three periods historical (HT = 1975-2005), near-term (NT = 2010-2029), and mid-term (MT = 2030-2050) using climate model intercomparison projects along with global climate models (GCMs) including RCP4.

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Article Synopsis
  • Gliomas are the most common malignant brain tumors, often leading to serious neurological issues and high mortality, yet they usually do not spread outside the brain, suggesting they depend on the brain's unique environment.* -
  • This study used a special rabies virus tracing technique in a mouse model to identify neurons that connect with glioma cells, revealing various brain regions involved in glioma innervation.* -
  • Molecular profiling showed that these connecting neurons (GINs) predominantly use glutamate and GABA neurotransmitters, and their electrophysiological properties differ from typical neurons, indicating a specific neural interaction that could influence glioma behavior.*
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Environmentally hazardous radioactive isotopes of iodine may be released from a nuclear power plant as a by-product of uranium fission. The efficient and safe capture of volatile radioiodine is of great significance in the history of nuclear power plants. Due to its high volatility and carcinogenic characteristics, elimination of iodine gas (I) from air is the need of the hour from an environmental and health point of view.

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Parkinson's disease is characterized by motor and cognitive deficits. While previous work suggests a relationship between both, direct empirical evidence is scarce or inconclusive. Therefore, we examined the relationship between walking features and executive functioning in patients with Parkinson's disease using state-of-the-art machine learning approaches.

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