Publications by authors named "YeonJin Jung"

In the past decade, several quantitative models and risk assessments for Shiga toxin-producing Escherichia coli (STEC) and Listeria monocytogenes have been developed to guide the management of these pathogens in fresh produce. However, there is a need to collect and critically review the parameters used to guide their potential reuse in future risk assessments. This review (i) identifies 11 and 7 recently published quantitative models and risk assessments for STEC and L.

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We demonstrate the reversible control of interactions between a local molecular spin, hosted within an iron phthalocyanine (FePc) molecule, and the conduction electrons of a supporting Au(111) surface. Using the tip of a scanning tunneling microscope, we deliberately and reversibly manipulate the adsorption configuration of the molecule relative to the underlying substrate lattice. Different rotation configurations lead to noticeable changes in the differential conductance measured on the FePc molecules.

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The produce industry needs a tool to evaluate food safety interventions and prioritize investments and future research. A model was developed in R for a generic produce supply chain and made accessible via Shiny. Microbial contamination events, increases, reductions, and testing can be modeled.

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Article Synopsis
  • Fresh produce can be contaminated with Listeria monocytogenes at various points in the supply chain, especially in retail environments where limited assessment tools exist for controlling its spread.
  • Researchers developed an agent-based model to simulate Listeria transmission in a retail store's produce section to identify effective environmental sampling and control strategies.
  • The model highlights key factors influencing Listeria prevalence, suggesting that improving supplier controls and reducing contamination from consumers could significantly lower the risk of contamination in fresh produce.
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Saffron ( L.) is known as the most expensive spice. dried red stigmas, called threads, are used for culinary, cosmetic, and medicinal purposes.

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Questions about how emissions are changing during the COVID-19 lockdown periods cannot be answered by observations of atmospheric trace gas concentrations alone, in part due to simultaneous changes in atmospheric transport, emissions, dynamics, photochemistry, and chemical feedback. A chemical transport model simulation benefiting from a multi-species inversion framework using well-characterized observations should differentiate those influences enabling to closely examine changes in emissions. Accordingly, we jointly constrain NO and VOC emissions using well-characterized TROPOspheric Monitoring Instrument (TROPOMI) HCHO and NO columns during the months of March, April, and May 2020 (lockdown) and 2019 (baseline).

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Computed tomography (CT) with contrast plays an important role as a clinical diagnostic tool but still has a limited diagnostic range. In this work, we developed a novel injectable iodine-based small molecule CT contrast agent, even can be used for bile duct diagnostics. The bile duct diagnosable CT contrast agent (BDICA) is synthesized with 5-amino-2,4,6-triiodoisophthaloyl dichloride (ATIPC), tromethamine and lactobionic acid (LBA) for asialoglycoprotein receptor (ASGPR) targeted delivery via receptor-mediated endocytosis and transport to the bile canaliculi.

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1. Much work on ecological consequences of community assembly history has focused on the formation of history-induced alternative stable equilibria. We hypothesize that assembly history may affect not only community composition but also population dynamics, with assembled communities differing in species composition potentially residing in different dynamical states.

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