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1. Epidemics from the Eye of the Pathogen

   https://doi.org/10.1137/21M1450719  

   Sahneh, Faryad D.; Fries, William; Watkins, Joseph C.; Lega, Joceline (December 2022, SIAM Journal on Applied Mathematics)

   While a common trend in disease modeling is to develop models of increasing complexity, it was recently pointed out that outbreaks appear remarkably simple when viewed in the incidence vs. cumulative cases (ICC) plane. This article details the theory behind this phenomenon by analyzing the stochastic Susceptible, Infected, Recovered (SIR) model in the cumulative cases domain. We prove that the Markov chain associated with this model reduces, in the ICC plane, to a pure birth chain for the cumulative number of cases, whose limit leads to an independent increments Gaussian process that fluctuates about a deterministic ICC curve. We calculate the associated variance and quantify the additional variability due to estimating incidence over a finite period of time. We also illustrate the universality brought forth by the ICC concept on real-world data for Influenza A and for the COVID-19 outbreak in Arizona. 

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2. Insights from 20 years of the Molecule of the Month

   https://doi.org/10.1002/bmb.21360  

   Goodsell, David S.; Zardecki, Christine; Berman, Helen M.; Burley, Stephen K. (June 2020, Biochemistry and Molecular Biology Education)

   Abstract For 20 years, Molecule of the Month articles have highlighted the functional stories of 3D structures found in the Protein Data Bank (PDB). The PDB is the primary archive of atomic structures of biological molecules, currently providing open access to more than 150,000 structures studied by researchers around the world. The wealth of knowledge embodied in this resource is remarkable, with structures that allow exploration of nearly any biomolecular topic, including the basic science of genetic mechanisms, mechanisms of photosynthesis and bioenergetics, and central biomedical topics like cancer therapy and the fight against infectious disease. The central motivation behind the Molecule of the Month is to provide a user‐friendly introduction to this rich body of data, charting a path for users to get started with finding and exploring the many available structures. The Molecule of the Month and related materials are updated regularly at the education portal PDB‐101 (http://pdb101.rcsb.org/), offering an ongoing resource for molecular biology educators and students around the world. 

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3. Stories from the Field (of Networking): Lessons from Deploying Research Systems in the real World

   Heimerl, Kurtis; Jang, Esther; Ndubuisi-Obi_Jr, Innocent (September 2023, ACM)

   As computer science has grown in importance throughout the world, there’s been a similarly growing drive to apply foundational computer science to address core societal issues. For networking researchers, this effort has largely focused on bringing the benefits of Internet access to marginalized populations. In this work, we reflect on more than a decade of our own work deploying such research into the world in all of rural, urban, developed, and developing regions. We share key lessons and related stories that have influenced they way we do this type of work. We conclude with a call to other researchers to add their own stories to share back to the wider networking research community. 

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4. Rising from the dead: the power of genome editing

   https://doi.org/10.1007/s11427-023-2415-2  

   Zheng, Hongyuan; Zhao, Junyao; Wang, Daowen; Fu, Zheng Qing (December 2023, Science China Life Sciences)
5. Recovery of the Nonlinearity From the Modified Scattering Map

   https://doi.org/10.1093/imrn/rnad243  

   Chen, Gong; Murphy, Jason (October 2023, International Mathematics Research Notices)

   Abstract We consider a class of one-dimensional nonlinear Schrödinger equations of the form $$ \begin{align*} & (i\partial_{t}+\Delta)u = [1+a]|u|^{2} u. \end{align*}$$For suitable localized functions $$a$$, such equations admit a small-data modified scattering theory, which incorporates the standard logarithmic phase correction. In this work, we prove that the small-data modified scattering behavior uniquely determines the inhomogeneity $$a$$. 

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