Publications by authors named "M Dora"

Photoactivation is a paradigm consisting in local molecular fluorescent activation by laser illumination in a chosen region (source) while measuring the concentration at a target region. Data-driven modeling is concerned with the following questions: how from the measurement in these two regions is it possible to infer the properties of molecular propagation? How is it possible to use such responses to infer motions occurring in networks such as the endoplasmic reticulum? In this book chapter, we shall review the data-driven analysis based on diffusion-transport models and numerical simulations to interpret the photoactivation dynamics and extract biophysical parameters. We will discuss modeling approaches to reconstruct local network properties from photoactivation transients.

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As the social consent for seeking help in the area of psychosexual health increases, specialists observe the current socio-cultural changes and the new phenomena they give rise to be reflected in their patients. One of these relatively new phenomena is chemsex. It is a distinct form of combining highly specific psychoactive substances and sexual activity, practised almost exclusively by men.

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Human induced pluripotent stem cell cardiomyocytes (hiPSC-CMs) are based on ground-breaking technology that has significantly impacted cardiovascular research. They provide a renewable source of human cardiomyocytes for a variety of applications including disease modeling and drug toxicity testing. Cardiac calcium regulation plays a critical role in the cardiomyocyte and is often dysregulated in cardiovascular disease.

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The ongoing COVID-19 pandemic has caused the death of millions of people, and PCR testing is widely used as the gold standard method to detect the infections to restrict the outbreak. Through the interviews conducted with people from the field in South Korea, the UK, and Turkey, we have found that there are numerous testing strategies worldwide. Those testing strategies include drive-through and home delivery testing capabilities, local test sites, and mobile test centers.

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Article Synopsis
  • The study focuses on how COVID-19 has impacted the operations of emergency departments (EDs) by modeling their sustainable practices using big data analytics (BDA).
  • It examines how government policies have affected patient volume and resource utilization, showing a significant decrease in patient numbers but an increase in the need for laboratory and imaging tests.
  • The model demonstrated a prediction accuracy of 80-95%, validating its effectiveness in managing ED operations during changing conditions brought on by the pandemic.
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