Carbon, Metals, and Grain Size Correlate with Bacterial Community Structure in Sediments of a High Arsenic Aquifer

Bacterial communities can exert significant influence on the biogeochemical cycling of arsenic (As). This has globally important implications since As in drinking water affects the health of over 100 million people worldwide, including in the Ganges–Brahmaputra Delta region of Bangladesh where geogenic arsenic in groundwater can reach concentrations of more than 10 times the World Health Organization’s limit. Thus, the goal of this research was to investigate patterns in bacterial community composition across gradients in sediment texture and chemistry in an aquifer with elevated groundwater As concentrations in Araihazar, Bangladesh. We characterized the bacterial community by pyrosequencing 16S rRNA genes from aquifer sediment samples collected at three locations along a groundwater flow path at a range of depths between 1.5 and 15 m. We identified significant differences in bacterial community composition between locations in the aquifer. In addition, we found that bacterial community structure was significantly related to sediment grain size, and sediment carbon (C), manganese (Mn), and iron (Fe) concentrations. Deltaproteobacteria and Chloroflexi were found in higher proportions in silty sediments with higher concentrations of C, Fe, and Mn. By contrast, Alphaproteobacteria and Betaproteobacteria were in higher proportions in sandy sediments with lower concentrations of C and metals. Based on the phylogenetic affiliations of these taxa, these results may indicate a shift to more Fe-, Mn-, and humic substance-reducers in the high C and metal sediments. It is well-documented that C, Mn, and Fe may influence the mobility of groundwater arsenic, and it is intriguing that these constituents may also structure the bacterial community

The Vehicle, 1965, Vol. 7

Vol. 7 Table of Contents CommentaryElaine Lancepage 3 Lost Island and The Unseen SeaDaun Alan Leggpage 5 ElegyWilliam Mosierpage 6 AwayDavid Dixpage 7 DulceyRoberta Mathewspage 8 Alarum Tuam JonneDavid Walkerpage 11 Little BrotherSteve Gibbspage 13 River RunningDaun Alan Leggpage 15 PortraitRobert D. Thomaspage 16 The RockRoger Lewis Hudsonpage 17 Jarman HospitalElaine Lancepage 18 Of Domes and DiamondsDwight Ashbypage 19 Friday NightRoger J. Barrypage 20 MurderHelen Coxpage 23 Vigil SongDaun Alan Leggpage 24 Had You But Been the OneDavid Helmpage 25 To A Useless WeaponDarlene Brewerpage 25 Out of the NightPat Hartpage 26 La MortAdrian Beardpage 28 Mrs. Milton\u27s LamentBob Millerpage 30 Cockle CoveSusan McCabepage 31 Loss of VirtueJim Rinnertpage 32 The KeepsakeDwight Ashbypage 33 The RuinsRoger Lewis Hudsonpage 35 Ante Major OdysseyDaun Alan Leggpage 38 ReligionAnthony Barrettepage 39 All JoyJim Rinnertpage 40 SesameElaine Lancepage 40 CenterpieceDwight Ashbypage 41 A Great White WaveJohn Rhodespage 42 QueryElaine Lancepage 44 PistachioRita Salyerspage 45 FacadeKathleen McCormackpage 46 Winter Wisp AwaySteve Gibbspage 46 ScenarioDavid Dixpage 47 Damn-GodSteve Gibbspage 48 AccidentElaine Lancepage 48https://thekeep.eiu.edu/vehicle/1013/thumbnail.jp

A Randomized Controlled Evaluation of the Efficacy of an Ankle-Foot Cast on Walking Recovery Early After Stroke: SWIFT Cast Trial

Background. Timely provision of an ankle-foot orthosis (AFO) orthotist customized for individuals early after stroke can be problematic. Objective. To evaluate the efficacy of a therapist-made AFO (SWIFT Cast) for walking recovery. Methods.This was a randomized controlled, observer-blind trial. Participants (n = 105) were recruited 3 to 42 days poststroke.All received conventional physical therapy (CPT) that included use of “off-the-shelf” and orthotist-made AFOs. People allocated to the experimental group also received a SWIFT Cast for up to 6 weeks. Measures were undertaken before randomization, 6 weeks thereafter (outcome), and at 6 months after stroke (follow-up). The primary measure was walking speed. Clinical efficacy evaluation used analysis of covariance. Results. Use of a SWIFT Cast during CPT sessions wassignificantly higher (P < .001) for the SWIFT Cast (55%) than the CPT group (3%). The CPT group used an AFO in 26% of CPT sessions, compared with 11% for the SWIFT Cast group (P = .005). At outcome, walking speed was 0.42 (standard deviation [SD] = 0.37) m/s for the CPT group and 0.32 (SD = 0.34) m/s for the SWIFT Cast group. Follow-up walking speed was 0.53 (SD = 0.38) m/s for the CPT group and 0.43 (0.34) m/s for the SWIFT Cast group. Differences, after accounting for minimization factors, were insignificant at outcome (P = .345) and follow-up (P = .360). Conclusion and implications.SWIFT Cast did not enhance the benefit of CPT, but the control group had greater use of another AFO. However, SWIFT Cast remains a clinical option because it is low cost and custom-made by therapists who can readily adapt it during the rehabilitation period

"That young girl should be in school, not out drilling wheat!": the Germans from Russia, race, and Americanization in northeastern Colorado

HY 640 State and Local History Research Seminar, Department of History.Includes bibliographical references (pages 26-28)

Two librarians, an archivist, and 13,000 images: collaborating to build a digital collection

Includes bibliographical references (pages 102-103).Colorado State University Libraries has been creating digitized collections, primarily from its Archives and Special Collections unit, since 2000. These projects involved collaboration among Archives, Cataloging, and Digitization; the most recent and ambitious project, digitizing 13,000 historical images of the university dating from the 1880s into the 1930s, required closer collaboration than any previous project. The three authors, each with a distinctive role in the project, use this case study to illustrate and discuss in detail the different professional and technical skills and perspectives that each brought to the project and how they learned from each other. The authors present lessons learned in how to effectively build successful internal partnerships to further digitization projects