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1. The radio galaxy population in the simba simulations

   https://doi.org/10.1093/mnras/stab654  

   Thomas, Nicole; Davé, Romeel; Jarvis, Matt J; Anglés-Alcázar, Daniel (March 2021, Monthly Notices of the Royal Astronomical Society)

   null (Ed.)

   ABSTRACT We examine the 1.4 GHz radio luminosities of galaxies arising from star formation and active galactic nuclei (AGNs) within the state-of-the-art cosmological hydrodynamic simulation Simba. Simba grows black holes via gravitational torque limited accretion from cold gas and Bondi accretion from hot gas, and employs AGN feedback including jets at low Eddington ratios. We define a population of radio loud AGNs (RLAGNs) based on the presence of ongoing jet feedback. Within RLAGN, we define high and low excitation radio galaxies (HERGs and LERGs) based on their dominant mode of black hole accretion: torque limited accretion representing feeding from a cold disc, or Bondi representing advection-dominated accretion from a hot medium. Simba predicts good agreement with the observed radio luminosity function (RLF) and its evolution, overall as well as separately for HERGs and LERGs. Quiescent galaxies with AGN-dominated radio flux dominate the RLF at $$\gtrsim 10^{22-23}$$ W Hz−1, while star formation dominates at lower radio powers. Overall, RLAGNs have higher black hole accretion rates and lower star formation rates than non-RLAGN at a given stellar mass or velocity dispersion, but have similar black hole masses. Simba predicts an LERG number density of 8.53 Mpc−3, ∼10× higher than for HERGs, broadly as observed. While LERGs dominate among most massive galaxies with the largest black holes and HERGs dominate at high specific star formation rates, they otherwise largely populate similar-sized dark matter haloes and have similar host galaxy properties. Simba thus predicts that deeper radio surveys will reveal an increasing overlap between the host galaxy demographics of HERGs and LERGs. 

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2. L eg M uscle A rchitecture in P rimates and I ts C orrelation with L ocomotion P atterns

   https://doi.org/10.1002/ar.23745  

   Marchi, Damiano; Leischner, Carissa L; Pastor, Francisco; Hartstone‐Rose, Adam (March 2018, The Anatomical Record)

   ABSTRACT Bone biomechanical studies indicate that leg bone structure can be related to different locomotor patterns. The osteological correlates of extant primates’ locomotion patterns and substrate use are important to consider when estimating corresponding behaviors of extinct primates. Here, we test if these same patterns are seen in the differences in leg muscular architecture. Muscle mass, fascicle lengths (FL), physiological cross‐sectional area (PCSA), reduced PCSA (RPCSA) and tendon‐to‐muscle belly ratio were studied in 33 primate species (6 strepsirrhines, 14 platyrrhines and 13 catarrhines). Muscles were grouped into toe and ankle flexors and extensors and studied for phylogenetic and functional signals. All variables strongly correlate with body mass: strength variables (mass, PCSA and RPCSA) scale with positive allometry, whereas the speed/stretch measure (FL) trend toward negative allometry. Thus, larger primates are relatively stronger than smaller species, but they have relatively shorter leg muscle fibers than smaller primates. The strongest functional signal emerged when comparing belly‐muscle tendon unit (MTU) length ratio in leaping and non‐leaping primates. Leapers show significantly smaller plantarflexor belly‐MTU ratio. Surprisingly, no significant results reflect a correlation between muscle architecture and substrate and locomotor groups. However, several trends suggest that a larger sample and more fine‐grained defined categories could produce significant results. These results show the complex relation between leg bone biomechanics and muscle architecture and demand for further studies on this topic. Anat Rec, 301:515–527, 2018. © 2018 Wiley Periodicals, Inc. 

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3. Evolution of the E ast G reenland C urrent from F ram S trait to D enmark S trait: Synoptic measurements from summer 2012

   https://doi.org/10.1002/2016JC012228  

   Håvik, L.; Pickart, R. S.; Våge, K.; Torres, D.; Thurnherr, A. M.; Beszczynska‐Möller, A.; Walczowski, W.; von Appen, W.‐J. (March 2017, Journal of Geophysical Research: Oceans)

   null (Ed.)
4. The Movement Ecology of Mutualism ( CSEE / ESA 2022, OOS17 )

   https://doi.org/10.1002/bes2.2063  

   Moore, Christopher M.; Shaw, Allison K.; Bruninga‐Socolar, Bethanne; Caves, Eleanor M.; Karnish, Alex T.; Kiesewetter, Kasey N.; Nelson, Annika S.; Pringle, Elizabeth G. (April 2023, The Bulletin of the Ecological Society of America)
5. GW / SW‐MST : A Groundwater/ Surface‐Water Method Selection Tool

   https://doi.org/10.1111/gwat.13194  

   Hammett, Steven; Day‐Lewis, Frederick D.; Trottier, Brett; Barlow, Paul M.; Briggs, Martin A.; Delin, Geoffrey; Harvey, Judson W.; Johnson, Carole D.; Lane, John W.; Rosenberry, Donald O.; et al (November 2022, Groundwater)

   Abstract Groundwater/surface‐water (GW/SW) exchange and hyporheic processes are topics receiving increasing attention from the hydrologic community. Hydraulic, chemical, temperature, geophysical, and remote sensing methods are used to achieve various goals (e.g., inference of GW/SW exchange, mapping of bed materials, etc.), but the application of these methods is constrained by site conditions such as water depth, specific conductance, bed material, and other factors. Researchers and environmental professionals working on GW/SW problems come from diverse fields and rarely have expertise in all available field methods; hence there is a need for guidance to design field campaigns and select methods that both contribute to study goals and are likely to work under site‐specific conditions. Here, we present the spreadsheet‐based GW/SW‐Method Selection Tool (GW/SW‐MST) to help practitioners identify methods for use in GW/SW and hyporheic studies. The GW/SW‐MST is a Microsoft Excel‐based decision support tool in which the user selects answers to questions about GW/SW‐related study goals and site parameters and characteristics. Based on user input, the tool indicates which methods from a toolbox of 32 methods could potentially contribute to achieving the specified goals at the site described. 

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