Appreciating Feral Hogs: Extension Education for Diverse Stakeholders in Texas

Texas harbors the largest population of feral hogs (Sus scrofa) in the United States, with populations estimated at \u3e2 million. Depending on one’s perspective, feral hogs are either a pariah (from the farmer’s standpoint) or a popular sporting animal (from a hunter’s standpoint). As feral hogs increase in range and density, conflicts among stakeholders are sure to increase. Texas Cooperative Extension (TCE) initiated educational programs in 1991 to address concerns regarding the presence and management of feral hogs. Since that time, we have developed various workshops, symposia, and educational materials (e.g., print, videotape, and website) as means of addressing “the good, the bad, and the ugly” aspects of feral hogs in Texas. Texas Cooperative Extension involves various stakeholder groups, including agriculturalists, biologists, hunters, and wildlife damage management professionals in its efforts to provide a thorough, balanced approach to management of feral hogs. Our goal is to increase critical thinking skills among stakeholders while seeking consensus on local damage issues caused by feral hogs

Intersectionality and equity: Dynamic bureaucratic representation in higher education

Representative bureaucracy scholarship has yet to address two interrelated phenomena: intersectionality and changes in relative disadvantage over time. This manuscript addresses these gaps by assessing representation effects at the intersection of race/ethnicity and sex and in previously, but no longer, disadvantaged client groups. It also argues that if bureaucratic representation is viewed as a quest for equity, then representation will decline as disadvantaged client groups approach equity in policy outcomes. Using panel data for US higher education, this study highlights the importance of intersectional representation in bureaucratic organizations. In three of the four race/ethnic/sex combinations, students perform better in the presence of faculty who match them intersectionally (in the fourth case, race but not sex matters). The empirical results also find that as a formerly disadvantaged client group (women) becomes successful within an organization, the active representation relationship declines. These implications inform future representative bureaucracy scholarship examining intersectional groups

PtdIns(4,5)P2 Functions at the Cleavage Furrow during Cytokinesis

SummaryPhosphoinositides play important roles in regulating the cytoskeleton and vesicle trafficking, potentially important processes at the cleavage furrow. However, it remains unclear which, if any, of the phosphoinositides play a role during cytokinesis. A systematic analysis to determine if any of the phosphoinositides might be present or of functional importance at the cleavage furrow has not been published. Several studies hint at a possible role for one or more phosphoinositides at the cleavage furrow. The best of these are genetic data identifying mutations in phosphoinositide-modifying enzymes (a PtdIns(4)P-5-kinase in S. pombe [1, 2] and a PI-4-kinase in D. melanogaster [3]) that interfere with cytokinesis. The genetic nature of these experiments leaves questions as to how direct may be their contribution to cytokinesis. Here we show that a single phosphoinositide, PtdIns(4,5)P2, specifically accumulates at the furrow. Interference with PtdIns(4,5)P2 interferes with adhesion of the plasma membrane to the contractile ring at the furrow. Finally, four distinct interventions to specifically interfere with PtdIns(4,5)P2 each impair cytokinesis. We conclude that PtdIns(4,5)P2 is present at the cleavage furrow and is required for normal cytokinesis at least in part because of a role in adhesion between the contractile ring and the plasma membrane

Mineral transformation and biomass accumulation associated with uranium bioremediation at

One sentence synopsis: Acetate injection for uranium bioremediation leads to the modification of the porosity of subsurface materials through the accumulation of new mineral phases and biomass

Development of a biomarker for Geobacter activity and strain composition: Proteogenomic analysis of the citrate synthase protein during bioremediation of U(VI)

Monitoring the activity of target microorganisms during stimulated bioremediation is a key problem for the development of effective remediation strategies. At the US Department of Energy's Integrated Field Research Challenge (IFRC) site in Rifle, CO, the stimulation of Geobacter growth and activity via subsurface acetate addition leads to precipitation of U(VI) from groundwater as U(IV). Citrate synthase (gltA) is a key enzyme in Geobacter central metabolism that controls flux into the TCA cycle. Here, we utilize shotgun proteomic methods to demonstrate that the measurement of gltA peptides can be used to track Geobacter activity and strain evolution during in situ biostimulation. Abundances of conserved gltA peptides tracked Fe(III) reduction and changes in U(VI) concentrations during biostimulation, whereas changing patterns of unique peptide abundances between samples suggested sample-specific strain shifts within the Geobacter population. Abundances of unique peptides indicated potential differences at the strain level between Fe(III)-reducing populations stimulated during in situ biostimulation experiments conducted a year apart at the Rifle IFRC. These results offer a novel technique for the rapid screening of large numbers of proteomic samples for Geobacter species and will aid monitoring of subsurface bioremediation efforts that rely on metal reduction for desired outcomes

Statistical methods for building better biomarkers of chronic kidney disease

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149268/1/sim8091.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149268/2/sim8091_am.pd

A method for comparing multiple imputation techniques: A case study on the U.S. national COVID cohort collaborative.

Healthcare datasets obtained from Electronic Health Records have proven to be extremely useful for assessing associations between patients’ predictors and outcomes of interest. However, these datasets often suffer from missing values in a high proportion of cases, whose removal may introduce severe bias. Several multiple imputation algorithms have been proposed to attempt to recover the missing information under an assumed missingness mechanism. Each algorithm presents strengths and weaknesses, and there is currently no consensus on which multiple imputation algorithm works best in a given scenario. Furthermore, the selection of each algorithm’s pa- rameters and data-related modeling choices are also both crucial and challenging

Autonomous Microbial Sampler (AMS), a device for the uncontaminated collection of multiple microbial samples from submarine hydrothermal vents and other aquatic environments

Author Posting. © Elsevier B.V., 2006. This is the author's version of the work. It is posted here by permission of Elsevier B.V. for personal use, not for redistribution. The definitive version was published in Deep Sea Research Part I: Oceanographic Research Papers 53 (2006): 894-916, doi:10.1016/j.dsr.2006.01.009.An Autonomous Microbial Sampler (AMS) is described that will obtain uncontaminated and exogenous DNA-free microbial samples from most marine, fresh water and hydrothermal ecosystems. Sampling with the AMS may be conducted using manned submersibles, Remotely Operated Vehicles (ROVs), Autonomous Underwater Vehicles (AUVs), or when tethered to a hydrowire during hydrocast operations on research vessels. The modular device consists of a titanium nozzle for sampling in potentially hot environments (>350°C) and fluid-handling components for the collection of six independent filtered or unfiltered samples. An onboard microcomputer permits sampling to be controlled by the investigator, by external devices (e.g., AUV computer), or by internal programming. Temperature, volume pumped and other parameters are recorded during sampling. Complete protection of samples from microbial contamination was observed in tests simulating deployment of the AMS in coastal seawater, where the sampling nozzle was exposed to seawater containing 1x106 cells ml-1 of a red pigmented tracer organism, Serratia marinorubra. Field testing of the AMS at a hydrothermal vent field was successfully undertaken in 2000. Results of DNA destruction studies have revealed that exposure of samples of the Eukaryote Euglena and the bacterium S. marinorubra to 0.5 N sulfuric acid at 23°C for 1 hour was sufficient to remove Polymerase Chain Reaction (PCR) amplifiable DNA. Studies assessing the suitability of hydrogen peroxide as a sterilizing and DNA-destroying agent showed that 20 or 30% hydrogen peroxide sterilized samples of Serratia in 1 hr and destroyed the DNA of Serratia, in 3 hrs, but not 1 or 2 hrs. DNA AWAY™ killed Serratia and destroyed the DNA of both Serratia and the vent microbe (GB-D) of the genus Pyrococcus in 1 hour.This work was supported by a DOC/NOAA Small Business Innovative Research Award, Contract No. 50-DKNA-9-90116 awarded to McLane Research Laboratories, Inc. and (via subcontract) to the Woods Hole Oceanographic Institution. Some of the microbial testing work was also supported by the National Science Foundation, Grant No. IBN-0131557 and the Woods Hole Oceanographic Inst. Deep Ocean Exploration Institute Grant No. 25051131

Are fewer cases of diabetes mellitus diagnosed in the months after SARS-CoV-2 infection? A population-level view in the EHR-based RECOVER program

Long-term sequelae of severe acute respiratory coronavirus-2 (SARS-CoV-2) infection may include increased incidence of diabetes. Here we describe the temporal relationship between new type 2 diabetes and SARS-CoV-2 infection in a nationwide database. We found that while the proportion of newly diagnosed type 2 diabetes increased during the acute period of SARS-CoV-2 infection, the mean proportion of new diabetes cases in the 6 months post-infection was about 83% lower than the 6 months preinfection. These results underscore the need for further investigation to understand the timing of new diabetes after COVID-19, etiology, screening, and treatment strategies

Are fewer cases of diabetes mellitus diagnosed in the months after SARS-CoV-2 infection? A population-level view in the EHR-based RECOVER program

Long-term sequelae of severe acute respiratory coronavirus-2 (SARS-CoV-2) infection may include increased incidence of diabetes. Here we describe the temporal relationship between new type 2 diabetes and SARS-CoV-2 infection in a nationwide database. We found that while the proportion of newly diagnosed type 2 diabetes increased during the acute period of SARS-CoV-2 infection, the mean proportion of new diabetes cases in the 6 months post-infection was about 83% lower than the 6 months preinfection. These results underscore the need for further investigation to understand the timing of new diabetes after COVID-19, etiology, screening, and treatment strategies