Pflex_create

File used to generate program-specific input files for Plexaura flexuosa dataset using CREATE (https://bcrc.bio.umass.edu/pedigreesoftware/node/2). Example files created include those for Genepop, Arlequin, and Bayesass

totalmatrix_structure

Data file with presence/absence matrix for multiple alleles in Symbiodinium. Used for analyses with the program STRUCTURE

singlehaps_create

File used to generate program-specific input files for Symbiodinium "singlehaps" dataset using CREATE (https://bcrc.bio.umass.edu/pedigreesoftware/node/2). Example files created include those for Genepop and Arlequin

singlehaps_structure

Data file with alleles for 5 haploid microsatellite markers used to run analyses in the program STRUCTURE for Symbiodinium

An innovative Digital Champion: Exploring the development of a mobile app to improve Welsh health clinicians’ sustainable engagement with electronic test requesting (ETR)

   Presentation for the AMI Conference 2022</p

Nightjar activity at three different periods during the night as detected by automated recorders.

<p>These boxplots display (a) churring activity (measured in minutes of activity per hour) and (b) flight calling activity at six different automated recorders during the period of the survey: Dusk, 22.00–00.00; Middle, 00.00–02.30; Dawn, 02.30–04.30. The y-axes are distinct for each recorder because the amount of activity varied greatly according to location (and local abundance of nightjars). Most of the churring activity was recorded during the dawn period and the least amount of activity was during the middle of the night. There was no difference in flight calling activity between the three periods.</p

Supplementary Data from Transcription Factor Egr-1 Is Essential for Maximal Matrix Metalloproteinase-9 Transcription by Tumor Necrosis Factor α

Supplementary Data from Transcription Factor Egr-1 Is Essential for Maximal Matrix Metalloproteinase-9 Transcription by Tumor Necrosis Factor

Comparison of nightjar detection by different recorder settings.

<p>The mean detection of nightjars by the different recorder settings is compared via Tukey Contrasts for the fitted Generalised Linear Model. The detection of nightjars is compared for the different recorder settings. Adjusted p-values are reported (single-step method) and significant p-values are given in bold. The different settings were: recording 10 mins every hour (“10 mins” & “10 mins2”), only dusk (22.00–00.00), only the middle of the night (00.00–02.30), only dawn (02.30–04.30), dusk and dawn (“Dusk+Dawn”), and recording all night (“whole night”).</p

The Use of Automated Bioacoustic Recorders to Replace Human Wildlife Surveys: An Example Using Nightjars

<div><p>To be able to monitor and protect endangered species, we need accurate information on their numbers and where they live. Survey methods using automated bioacoustic recorders offer significant promise, especially for species whose behaviour or ecology reduces their detectability during traditional surveys, such as the European nightjar. In this study we examined the utility of automated bioacoustic recorders and the associated classification software as a way to survey for wildlife, using the nightjar as an example. We compared traditional human surveys with results obtained from bioacoustic recorders. When we compared these two methods using the recordings made at the same time as the human surveys, we found that recorders were better at detecting nightjars. However, in practice fieldworkers are likely to deploy recorders for extended periods to make best use of them. Our comparison of this practical approach with human surveys revealed that recorders were significantly better at detecting nightjars than human surveyors: recorders detected nightjars during 19 of 22 survey periods, while surveyors detected nightjars on only six of these occasions. In addition, there was no correlation between the amount of vocalisation captured by the acoustic recorders and the abundance of nightjars as recorded by human surveyors. The data obtained from the recorders revealed that nightjars were most active just before dawn and just after dusk, and least active during the middle of the night. As a result, we found that recording at both dusk and dawn or only at dawn would give reasonably high levels of detection while significantly reducing recording time, preserving battery life. Our analyses suggest that automated bioacoustic recorders could increase the detection of other species, particularly those that are known to be difficult to detect using traditional survey methods. The accuracy of detection is especially important when the data are used to inform conservation.</p></div

Reaction of <i>N</i>-Acetylglycyllysine Methyl Ester with 2-Alkenals: An Alternative Model for Covalent Modification of Proteins

Among the various reactions of lipid peroxidation products with proteins, 2-alkenals have been shown to react extensively with the ε-amino group of lysine residues [Žídek et al. (1997) Chem. Res. Toxicol. 10, 702−710]. To obtain additional information about the kinetic and mechanistic aspects of this modification, a model peptide (N-acetylglycyllysine O-methyl ester) was reacted with 2-hexenal. The reaction products were characterized through a combination of NMR and MS techniques. The structural elucidation efforts have shown the formation of pyridinium salts through the reaction of two or more alkenals with one amino group. Kinetic data were obtained using a continuous infusion of the reaction mixture into an electrospray ionization mass spectrometer. A mechanism is proposed that offers an alternative model for the formation of stable protein cross-links. The reaction progresses through a Schiff base intermediate to form a dihydropyridine species which can be alternatively reduced to form various 3,4- or 2,5-substituted pyridinium species or react with another Schiff base to form a trialkyl-substituted pyridinium structure. The stoichiometry of this structure (aldehyde/amine) is 3:2, in contrast to the widely accepted 1:2. Therefore, it represents another possible cross-linking mechanism for bifunctional products of lipid peroxidation