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1. First Year of Biophysica

   https://doi.org/10.3390/biophysica2020009  

   Buck, Matthias ; Muñoz, Victor ( June 2022 , Biophysica)

   “I can’t believe another year has passed already” is what most of us think when another birthday is upon us or when we see our children grow [...] 

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2. Board 264: Endeavour S-STEM Program for First-Year Students: 3rd-Year Results

   https://doi.org/10.18260/1-2--42713  

   de la Rosa-Pohl, Diana ( June 2023 , ASEE Conferences)
3. Extreme events driving year-to-year differences in gross primary productivity across the US

   https://doi.org/10.5194/bg-18-6579-2021  

   Turner, Alexander J. ; Köhler, Philipp ; Magney, Troy S. ; Frankenberg, Christian ; Fung, Inez ; Cohen, Ronald C. ( January 2021 , Biogeosciences)

   Abstract. Solar-induced chlorophyll fluorescence (SIF) has previously been shown to strongly correlate with gross primary productivity (GPP); however this relationship has not yet been quantified for the recently launched TROPOspheric Monitoring Instrument (TROPOMI). Here we use a Gaussian mixture model to develop a parsimonious relationship between SIF from TROPOMI and GPP from flux towers across the conterminous United States (CONUS). The mixture model indicates the SIF–GPP relationship can be characterized by a linear model with two terms. We then estimate GPP across CONUS at 500 m spatial resolution over a 16 d moving window. We observe four extreme precipitation events that induce regional GPP anomalies: drought in western Texas, flooding in the midwestern US, drought in South Dakota, and drought in California. Taken together, these events account for 28 % of the year-to-year GPP differences across CONUS. Despite these large regional anomalies, we find that CONUS GPP varies by less than 4 % between 2018 and 2019. 

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4. Familial Influences Affecting Student Pathways to Engineering at Two-Year and Four-Year Institutions

   Brisbane, Julia ; Gallagher, Eliza ; Dunwoody, L. Armoni ; Hines, Abigail ; Murphy, Joseph C. ; Patel, Khushikumari ; Pfirman, Aubrie L. ; Roberson, Shannon L. ; and Gramopadhye, Anand ( April 2019 , 2019 CoNECD - The Collaborative Network for Engineering and Computing Diversity)

   Improving retention rates of engineering students in higher education has been a nationwide goal aimed at expanding and diversifying the engineering workforce. Initial mathematics placement in institutions is a major predictor for attrition, with 52% of students from two-year institutions starting below calculus as opposed to 14.4% of students from four-year institutions starting below calculus. Consequently, national data shows that the attrition rate for engineering students at two-year institutions is 69% while the attrition rate for engineering students at four-year institutions is 37%. As the prevalence of students taking an indirect path towards completing an engineering degree increases, the examination of those students’ pathways towards an engineering degree is necessary. In the SC:SUPPORTED project, we conducted focus groups with students from two-year and four-year institutions across the state of South Carolina. Themes related to academic influence, social influence and family influence emerged from analysis of the focus group data. Within family influences, which are the ways family members affect a student’s persistence in education, choice of major, and choice of institution, there were differences between students attending two-year institutions and those attending four-year institutions. Family members include parents, siblings, other relatives, and also “fictive” family. The goal of this paper is to discuss the factors that influence why students choose engineering and choose to attend a two-year or four-year institution. 

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5. Analysis of year-over-year changes in Risk Factors Disclosure in 10-K filings

   https://doi.org/10.1145/3220547.3220555  

   Rawte, Vipula ; Gupta, Aparna ; Zaki, Mohammed J. ( June 2018 , Proceeding DSMM'18 Proceedings of the Fourth International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets)