All Work

Title

Topic

  • Passas awarded $500,000 grant from National Science Foundation for counterfeit medicine research

    Nikos Passas, professor of criminology and criminal justice and co-director of the Institute for Security and Public Policy, was recently awarded a grant worth $500,000 for a research project titled “Financial and Network Disruptions in Counterfeit and Illegal Medicines Trade.” From the abstract, the project’s goal “is to develop and evaluate a network-enabled system that will identify points of intervention and coordinate stakeholders’ efforts to disrupt illicit flows of medical products.” Read the full abstract and find out more about the award at the NSF.

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  • Could Bayesian analysis improve antibiotic expedience?

    This study looks at the time it took to make vancomycin (a Staphylococcus aureus antibiotic) area-under-the-curve estimations, comparing Bayesian analysis with more traditional pharmacokinetic software. They conclude that, “Without EHR [electronic health record] integration, Bayesian software was more time-consuming to assess vancomycin dosing than PK [pharmacokinetic] equations.” See the full list of authors and read their research, “Vancomycin Area under the Concentration-Time Curve Estimation Using Bayesian Modeling versus First-Order Pharmacokinetic Equations: A Quasi-Experimental Study,” in the journal Antibiotics.

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  • How diversifying academic leadership diversifies institutions

    Christie Chung, Associate Dean of Research, Scholarship, and Partnerships at Mills, writes here about the importance of diversifying academic leadership, and the knock-on effects this can have on an altogether more diverse campus culture. Chung argues that “Creating a more inclusive discipline” takes four qualities, which she elaborates upon in this article, titled “Diversifying leadership through impactful practices.”

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  • Book of visual poetry from Mills College professor

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    Carlota Caulfield, head of Spanish and Spanish American studies at Mills College, with J.M. Calleja, has published “GHROMYT,” a collaborative work of experimental, visual poetry.

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  • Combating bias in early childhood educators

    Urbani, et al., argue that pre-school and serve as an on-ramp to two results: inclusive education on the one hand, and the “school-to-prison nexus” on the other. To support the latter and mitigate the former, they demonstrate how developing a “critical consciousness, particularly around the intersections of race and disability,” in early childhood educators, and early classrooms, is crucial to making pre-school a welcome, inclusive environment for all students. See the full list of authors and read their research paper, “Building the on-ramp to inclusion: Developing critical consciousness in future early childhood educators,” at Research Connections.

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  • Shattering the Standard Model: A next-generation particle collider

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    The authors propose a “novel muon-proton and muon-nucleus collider facility” that would operate at the tera-electronvolt scale. Such a collider would allow study of difficult-to-observe particles like the Higgs-Boson, and to look beyond the Standard Model of physics towards leptoquarks. See the full list of authors and read their research paper, “Physics potential of TeV scale Muon-Ion Collider for deep inelastic scattering measurements, and probing Z′ bosons in models that violate lepton flavor universality,” at ArXiv.

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  • ‘Mechanism of Halide Exchange in Reactions of CpRu(PPh3)2Cl With Haloalkanes’

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    “Kinetic measurements of the reaction between CpRu(PPh3)2Cl (1a) and 1-bromobutane reveal a nearly first order dependence on the concentration of haloalkane and a negative entropy of activation, ΔS† < 0. The rate of halide exchange … is two orders of magnitude lower than the rate of phosphine dissociation. … DFT calculations are consistent with either oxidative addition or σ-bond metathesis as lower energy pathways than single electron transfer and formation of a radical pair.” Find the paper and the full list of authors in the New Journal of Chemistry.

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  • How to predict popularity using network science

    Researchers have developed a method to “to predict the popularity dynamics of individual items within a complex evolving system.” The results offer illuminations on the functioning of the attention ecomony, social media trends, and everything ” from marketing and traffic control to policy making and risk management.” In contrast to other studies, this model offers a “capability of modeling the arrival process of popularity and [a] remarkable power at predicting the popularity of individual items.” See the full list of authors and read their research paper, “Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes,” at ArXiv.

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