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| 1 | Water quality impacts of small-scale hydromodification in an urban stream in Connecticut, USA显示文摘Introduction:Construction activities in and along urban streams increase the sediment input into surface waters,causing an overall decline in water quality and aquatic ecosystems.In this case study,we investigate the water quality impacts of local hydromodification in an urban stream(discharge 0.4 m^(3)/s).At the site of interest,workers removed a stream crossing consisting of an embankment with culverts and replaced it with a small bridge(single span of 25 m)in an effort to improve flow capacity.Methods:Water samples were taken at four sites along the North Branch Park River in Connecticut,Northeastern United States.Turbidity and dissolved oxygen(DO)were measured in situ,and nitrate and total phosphorus(TP)were measured in the laboratory.Benthic macroinvertebrate samples were also collected and analyzed for taxon richness and Shannon-Weaver species diversity.Data were compared between upstream and downstream sites and before,during,and after hydromodification.We used one-way ANOVA combined with the post hoc Turkey test to derive statistical significance.Results:During construction,turbidity increased temporarily by 60.9%[from 2.48 Nephelometric Turbidity Units(NTU)over ambient to 4.00 NTU].Once construction was completed,DO increased locally from 11.0 to 13.0 mg/L.Benthic macroinvertebrate taxon richness and species diversity declined by 61.6 and 32.6%respectively,with no recovery observed in the year following construction.Water quality was only affected within 50 m downstream.Nitrate and TP concentrations were unaffected.Conclusions:Small-scale hydromodification temporarily increased the turbidity as a result of increased sediment input,approaching the maximum level for clean water(5 NTU).Benthic macroinvertebrate communities declined in the immediate downstream vicinity of construction but are expected to recover soon given that turbidity recovered to pre-construction levels,and DO increased.These outcomes emphasize that environmental assessment is important not only for large-scale hydromodification but also for smaller scale stream modifications. | Bin Zhu Daniel S.Smith Anthony P.Benaquista Dylan M.Rossi Betsy M.Kadapuram Man Lok Yu Andrew S.Partlow Nathan R.Burtch | 2018 | Ecological Processes2018，7，1： | 1 |
| 2 | CD4 + T cell-mediated Antigen-specific immunotherapy in a mouse model of cervical cancer 显示文摘 | Dylan Daniel Christopher Chiu Mindelzuj RE | 2005 | Cancer Res2005，65，6： | 1 |
| 3 | EST-based gene discovery in pig: virtual expression patterns and comparative mapping to human显示文摘 | Christopher K. Tuggle Jon A. Green Carolyn Fitzsimmons Rami Woods Randall S. Prather Sergei Malchenko Bento M. Soares Tamara Kucaba Keith Crouch Christina Smith Dylan Tack Natalie Robinson Brian O’Leary Todd Scheetz Thomas Casavant Daniel Pomp Brad J. Ede | 2003 | Mammalian Genome2003，，8： | 1 |
| 4 | Single-point and Filtered Relative Position Estimation for Visual Docking显示文摘This paper presents a new method to estimate position from line-ofsight measurements to known targets when attitude is known.The algorithm has two stages.The first produces a closed-form unbiased estimate for position that does not account for the measurement error covariance.The second stage is iterative and produces an estimate of position that explicitly accounts for the measurement error covariance and the coupling between measurement error and sensor-to-target distance.The algorithm gives an accurate estimate of both position and the corresponding position error covariance and has a low computational cost.The computational complexity is O(n)for n point-targets and only a 3×3 linear system must be solved.The algorithm is demonstrated for single-point position estimation to verify the accuracy of the resulting position and covariance.Significant improvements over current methods are shown through statistical tests.The algorithm is then demonstrated in the context of sequential filtering for space vehicle docking. | Dylan Conway Daniele Mortari | 2016 | Computer Modeling in Engineering & Sciences2016，，2： | 0 |
| 5 | Crop adaptation to climate change:An evolutionary perspective显示文摘The disciplines of evolutionary biology and plant and animal breeding have been intertwined throughout their development,with responses to artificial selection yielding insights into the action of natural selection and evolutionary biology providing statistical and conceptual guidance for modern breeding.Here we offer an evolutionary perspective on a grand challenge of the 21st century:feeding humanity in the face of climate change.We first highlight promising strategies currently under way to adapt crops to current and future climate change.These include methods to match crop varieties with current and predicted environments and to optimize breeding goals,management practices,and crop microbiomes to enhance yield and sustainable production.We also describe the promise of crop wild relatives and recent technological innovations such as speed breeding,genomic selection,and genome editing for improving environmental resilience of existing crop varieties or for developing new crops.Next,we discuss how methods and theory from evolutionary biology can enhance these existing strategies and suggest novel approaches.We focus initially on methods for reconstructing the evolutionary history of crops and their pests and symbionts,because such historical information provides an overall framework for crop-improvement efforts.We then describe how evolutionary approaches can be used to detect and mitigate the accumulation of deleterious mutations in crop genomes,identify alleles and mutations that underlie adaptation(and maladaptation)to agricultural environments,mitigate evolutionary trade-offs,and improve critical proteins.Continuing feedback between the evolution and crop biology communities will ensure optimal design of strategies for adapting crops to climate change. | Lexuan Gao Michael B.Kantar Dylan Moxley Daniel Ortiz-Barrientos Loren H.Rieseberg | 2023 | Molecular Plant2023，16，10： | 0 |
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