Advances in Salish Sea Acoustic Telemetry: 2015 Array Deployments and Promising Transmitter Performance

The first fish tracking arrays were deployed in the Salish Sea over a decade ago. These arrays have yielded a rich data set which have provided the first direct estimates of early marine-survival and migratory behavior for acoustic-tagged juvenile sockeye, Chinook, Coho and steelhead \u3e130 mm in fork length (FL). In spring of 2015, as part of the Salish Sea Marine Survival Project, the Pacific Salmon Foundation, the Ocean Tracking Network and Kintama Research deployed additional arrays in the Discovery Islands and Johnstone Strait (north of the Strait of Georgia) to provide higher resolution survival data. These new arrays use receivers that can detect VEMCO acoustic tags that transmit at 69 kHz, as well as new, smaller tags that transmit at 180 kHz. These new tags can be implanted into smaller salmon smolts (\u3e100 mm FL), but the disadvantage is reduced detection range and battery life. When designing the array, we considered the tradeoffs between detection efficiency, survival estimation, array design, and costs, and then tested the performance of the smaller tag by double-tagging 50 steelhead smolts with both tag types. We used high powered 69 kHz V9 tags to estimate presence because these tags have had excellent detection efficiency in past studies. The smaller 180 kHz V4 tag programming emulated the programming typically used to track small salmon smolts through the SOG. To estimate the detection efficiency of the smaller tag, we compared the number of 180 kHz ID codes to the number of 69 kHz ID codes detected on each array. The resulting detection efficiency of the V4 tag on the Discovery Islands sub-array was 74% (SE=0.10). Thus for the many salmon populations that migrate north through the Salish Sea (e.g. many Fraser River populations), it is now possible to estimate early-marine survival over a wider range of smolts sizes

Mass Activated Droplet Sorting (MADS) Enables Highâ Throughput Screening of Enzymatic Reactions at Nanoliter Scale

Microfluidic droplet sorting enables the highâ throughput screening and selection of waterâ inâ oil microreactors at speeds and volumes unparalleled by traditional wellâ plate approaches. Most such systems sort using fluorescent reporters on modified substrates or reactions that are rarely industrially relevant. We describe a microfluidic system for highâ throughput sorting of nanoliter droplets based on direct detection using electrospray ionization mass spectrometry (ESIâ MS). Droplets are split, one portion is analyzed by ESIâ MS, and the second portion is sorted based on the MS result. Throughput of 0.7â samplesâ sâ 1 is achieved with 98â % accuracy using a selfâ correcting and adaptive sorting algorithm. We use the system to screen â 15â 000â samples in 6â h and demonstrate its utility by sorting 25â nL droplets containing transaminase expressed in vitro. Labelâ free ESIâ MS droplet screening expands the toolbox for droplet detection and recovery, improving the applicability of droplet sorting to protein engineering, drug discovery, and diagnostic workflows.A microfluidic system for sorting nanoliter droplets based on mass spectrometry is presented. Fully automated, labelâ free sorting at 0.7â samplesâ sâ 1 is achieved with 98â % accuracy. In vitro transcription and translation (ivTT) of a transaminase enzyme in ca.â 25â nL samples is demonstrated and samples are sorted on the basis of enzyme activity.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154315/1/anie201913203.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154315/2/anie201913203-sup-0001-misc_information.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154315/3/anie201913203_am.pd

Mass Activated Droplet Sorting (MADS) Enables Highâ Throughput Screening of Enzymatic Reactions at Nanoliter Scale

Microfluidic droplet sorting enables the highâ throughput screening and selection of waterâ inâ oil microreactors at speeds and volumes unparalleled by traditional wellâ plate approaches. Most such systems sort using fluorescent reporters on modified substrates or reactions that are rarely industrially relevant. We describe a microfluidic system for highâ throughput sorting of nanoliter droplets based on direct detection using electrospray ionization mass spectrometry (ESIâ MS). Droplets are split, one portion is analyzed by ESIâ MS, and the second portion is sorted based on the MS result. Throughput of 0.7â samplesâ sâ 1 is achieved with 98â % accuracy using a selfâ correcting and adaptive sorting algorithm. We use the system to screen â 15â 000â samples in 6â h and demonstrate its utility by sorting 25â nL droplets containing transaminase expressed in vitro. Labelâ free ESIâ MS droplet screening expands the toolbox for droplet detection and recovery, improving the applicability of droplet sorting to protein engineering, drug discovery, and diagnostic workflows.Ein Mikrofluidiksystem zur Sortierung von Nanolitertröpfchen basierend auf Massenspektrometrie erreicht eine vollautomatische markierungsfreie Sortierung bei 0.7 Probenâ sâ 1 mit 98â % Genauigkeit. Die Inâ vitroâ Transkription und â Translation (ivTT) eines Transaminaseâ Enzyms in Proben von etwa 25â nL wird demonstriert, und die Proben werden nach ihrer Enzymaktivität sortiert.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/154446/1/ange201913203-sup-0001-misc_information.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154446/2/ange201913203.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/154446/3/ange201913203_am.pd

Inference with interference between units in an fMRI experiment of motor inhibition

An experimental unit is an opportunity to randomly apply or withhold a treatment. There is interference between units if the application of the treatment to one unit may also affect other units. In cognitive neuroscience, a common form of experiment presents a sequence of stimuli or requests for cognitive activity at random to each experimental subject and measures biological aspects of brain activity that follow these requests. Each subject is then many experimental units, and interference between units within an experimental subject is likely, in part because the stimuli follow one another quickly and in part because human subjects learn or become experienced or primed or bored as the experiment proceeds. We use a recent fMRI experiment concerned with the inhibition of motor activity to illustrate and further develop recently proposed methodology for inference in the presence of interference. A simulation evaluates the power of competing procedures.Comment: Published by Journal of the American Statistical Association at http://www.tandfonline.com/doi/full/10.1080/01621459.2012.655954 . R package cin (Causal Inference for Neuroscience) implementing the proposed method is freely available on CRAN at https://CRAN.R-project.org/package=ci

Sustained replication of synthetic canine distemper virus defective genomes in vitro and in vivo

Defective interfering (DI) genomes have long been considered inconvenient artifacts that suppressed viral replication in vitr

1957: Abilene Christian College Bible Lectures - Full Text

Featuring the Theme CHRIST IN YOU -THE HOPE OF GLORY PRICE: $3.00 FIRM FOUNDATION PUBLISHING HOUSE BOX 77 AUSTIN, TEXA