An enzyme with self-control

To keep itself in check, Plk4 encourages its own removal

Concert recording 2017-04-29

[Track 1]. When the children are asleep from Carousel / Richard Rogers & Oscar Hammerstein -- [Track 2]. Quartet from The secret garden / Lucy Simon -- [Track 3]. Agony from Into the woods / Stephen Sondheim -- [Track 4]. Stepsister\u27s lament from Cinderella / Rogers & Hammerstein -- [Track 5]. Only love from The scarlet pimpernel / Frank Wildhorn -- [Track 6]. Schroeder from You\u27re a good man Charlie Brown / Clark Gesner -- [Track 7]. Where in the world from The secret garden [Track 8]. How could I ever know from The secret garden / Lucy Simon -- [Track 9]. Who am I from Peter Pan / Leonard Bernstein -- [Track 10]. Some things are meant to be from Little Women / Jason Howland -- [Track 11]. With you from Ghost / Bruce Joel Rubin -- [Track 12]. When he sees me from Waitress [Track 13]. Never ever getting rid of me from Waitress / Sara Bareilles -- [Track 14]. Sepia life from Grateful / John Bucchino -- [Track 15]. Thank you for the music from Mamma mia / Benny Andersson & Björn Ulvaeus -- [Track 16]. Agony reprise from Into the woods / Stephen Sondheim -- [Track 17]. If I loved you from Carousel / Rodgers & Hammerstein

WindCube: A CubeSat Thermospheric Wind Instrument Utilizing Fabry-Pérot Interferometry

WindCube is a 6U CubeSat mission selected for implementation through NASA’s HFORT program. Starting in 2022 and following ~36 months of development, integration and testing, the spacecraft will operate for ~12 months in low earth orbit to study the influence of thermospheric winds on the earth’s ionosphere. Its scientific payload is a limb viewing Fabry Pérot Interferometer (étalon) specially designed to fit into a 10cm x 10cm cross-sectional assembly. WindCube will make global maps of wind speed derived from the doppler shifted emission of the 630.0nm oxygen line (1D \u3e 3P), at altitudes near 250km. Projected performance includes wind speed retrievals every 10 seconds with an accuracy of 5m/s, a vertical resolution of 63km, and a horizontal resolution of 100km. We present an overview of the mission design and observation plan for WindCube as well as a top-level description of the payload design

Concert recording 2018-04-20a

[Track 1]. Caro mio ben / Giuseppe Giordani -- [Track 2]. Alma del core / Antonio Caldara -- [Track 3]. A little bit in love from Wonderful town / Bernstein -- [Track 4]. Im Abendrot / Franz Schubert -- [Track 5]. Something\u27s coming from West side story / Bernstein -- [Track 6]. Che far senza Euridice from Orfeo e Euridice / Christoph Willibald Gluck -- [Track 7]. What a movie from Trouble in Tahiti / Bernstein -- [Track 8]. Simple song from Mass / Bernstein -- [Track 9]. Round midnight / Thelonius Monk -- [Track 10]. My house from Peter Pan / Bernstein -- [Track 11]. Heaven help my heart from Chess / Andersson & Ulvaeus -- [Track 12]. L\u27heure exquise / Reynaldo Hahn -- [Track 13]. Captain Hook\u27s soliloquy from Peter Pan / Bernstein -- [Track 14]. Two love songs. Extinguish my eyes [Track 15]. When my soul touches yours / Bernstein -- [Track 16]. Go on from Mass / Bernstein -- [Track 17]. Wanderers Nachtlied / Schubert -- [Track 18]. Peter, Peter from Peter Pan / Bernstein -- [Track 19]. L\u27escalve / Édouard Lalo -- [Track 20]. Allerseelen / Richard Strauss -- [Track 21]. Nothing more than this from Candide / Bernstein -- [Track 22]. O del mio dolce ardor / Gluck -- [Track 23]. Governer\u27s serenade from Candide / Bernstein -- [Track 24]. Sogno d\u27or / Giacomo Puccini -- [Track 25]. I understand from On the town / Bernstein -- [Track 26]. Dream with me from Peter Pan / Bernstein -- [Track 27]. Il est doux, il est bon from Herodiade / Jules Massenet -- [Track 28]. Easter from Five mystical songs / Ralph Vaughan Williams -- [Track 29]. One hand, one heart from West side story / Bernstein -- [Track 30]. Porgi amor from Les Nozze di Figaro / Wolfgang Amadeus Mozart -- [Track 31]. Glitter and be gay from Candide / Bernstein

Concert recording 2017-11-06

[Track 1]. Sebben crudele / Antonio Caldara -- [Track 2]. Orpheus with his lute / William Schuman -- [Track 3]. Heaven help my heart -- [Track 4]. Little elegy / John Duke -- [Track 5]. Bel piacere / G.F. Handel -- [Track 6]. I dreamed a dream from Les Miserables / Claude-Michel Schönberg -- [Track 7]. In questa tomba oscura / Ludwig van Beethoven -- [Track 8]. Lasst mich nur auf meinem Sattel gelten! from Freisinn / Robert Shumann -- [Track 9]. Für Musik / Robert Franz -- [Track 10]. Edelweiss from The sound of music / Rodgers & Hammerstein -- [Track 11]. Tu lo sai / Giuseppe Torelli -- [Track 12]. Glück / Max Reger -- [Track 13] Le colibri / Ernest Chausson -- [Track 14] Der Der Schäfer / Hugo Wolf -- [Track 15]. A route to the sky / Jake Heggie -- [Track 16]. Ich liebe dich / Edvard Grieg -- [Track 17]. When it all fall down from Chaplin / Christopher Curtis -- [Track 18]. Voyage a Paris / Francis Poulenc -- [Track 19]. Crucifixion / arr. Hall Johnson -- [Track 20]. Bright is the ring of words / Ralph Vaughan Williams -- [Track 21]. Non t\u27amo piu / Francesco Paolo Tosti -- [Track 22]. Se tu m\u27ami / Alessandro Parisotti -- [Track 23]. I love the way from Something\u27s rotten / Kirkpatrick & Kirkpatrick -- [Track 24]. A madrigal / Herbert Howells -- [Track 25]. El majo discrete / Enrique Granados -- [Track 26]. The roadside fire / Ralph Vaughan Williams -- [Track 27]. Che fiero costume / Giovanni Legrenzi -- [Track 28]. An die Musik / Franz Shubert -- [Track 29]. I will sing new songs of gladness / Anton Dvorak -- [Track 30]. Full fathom five from The tempest / Henry Purcell -- [Track 31]. Nimmerstate Libe / Hugo Wolf -- [Track 32]. Deposuit potentes from Magnificat / Johann Sebastian Bach -- [Track 33]. Vaghissima sembiante / Stefano Donaudy -- [Track 34]. Tormani a vaghegghiar from Alcina / G.F. Handel -- [Track 35]. Nobody knows this little rose / John Duke -- [Track 36]. Let beauty awake / Ralph Vaughan Williams -- [Track 37]. Steal away / arr. Hall Johnson -- [Track 38]. Come paride vezzoso from L\u27elisir d\u27amore / Kirkpatrick & Kirkpatrick -- [Track 39]. Dich, teure Halle from Tannhaüser / Richard Wagner -- [Track 40]. Non t\u27accotare all\u27urna / Giuseppe Verdi -- [Track 41]. Zur Rosenzeit / Edvard Grieg

The politics and aesthetics of commemoration: national days in southern Africa

The contributions to the special section in this issue study recent independence celebrations and other national days in South Africa, Namibia, Zimbabwe, Madagascar and the Democratic Republic of Congo. They explore the role of national days in state-making and nation-building, and examine the performativity of nationalism and the role of performances in national festivities. Placing the case studies in a broader, comparative perspective, the introduction first discusses the role of the state in national celebrations, highlighting three themes: firstly, the political power-play and contested politics of memory involved in the creation of a country’s festive calendar; secondly, the relationship between state control of national days and civic or popular participation or contestation; and thirdly, the complex relationship between regional and ethnic loyalties and national identifications. It then turns to the role of performance and aesthetics in the making of nations in general, and in national celebrations in particular. Finally, we look at the different formats and meanings of national days in the region and address the question whether there is anything specific about national days in southern Africa as compared to other parts of the continent or national celebrations world-wide.Web of Scienc

Measurement of Vital Signs Using Lifelight Remote Photoplethysmography: Results of the VISION-D and VISION-V Observational Studies

BackgroundThe detection of early changes in vital signs (VSs) enables timely intervention; however, the measurement of VSs requires hands-on technical expertise and is often time-consuming. The contactless measurement of VSs is beneficial to prevent infection, such as during the COVID-19 pandemic. Lifelight is a novel software being developed to measure VSs by remote photoplethysmography based on video captures of the face via the integral camera on mobile phones and tablets. We report two early studies in the development of Lifelight. ObjectiveThe objective of the Vital Sign Comparison Between Lifelight and Standard of Care: Development (VISION-D) study (NCT04763746) was to measure respiratory rate (RR), pulse rate (PR), and blood pressure (BP) simultaneously by using the current standard of care manual methods and the Lifelight software to iteratively refine the software algorithms. The objective of the Vital Sign Comparison Between Lifelight and Standard of Care: Validation (VISION-V) study (NCT03998098) was to validate the use of Lifelight software to accurately measure VSs. MethodsBP, PR, and RR were measured simultaneously using Lifelight, a sphygmomanometer (BP and PR), and the manual counting of RR. Accuracy performance targets for each VS were defined from a systematic literature review of the performance of state-of-the-art VSs technologies. ResultsThe VISION-D data set (17,233 measurements from 8585 participants) met the accuracy targets for RR (mean error 0.3, SD 3.6 vs target mean error 2.3, SD 5.0; n=7462), PR (mean error 0.3, SD 4.0 vs mean error 2.2, SD 9.2; n=10,214), and diastolic BP (mean error −0.4, SD 8.5 vs mean error 5.5, SD 8.9; n=8951); for systolic BP, the mean error target was met but not the SD (mean error 3.5, SD 16.8 vs mean error 6.7, SD 15.3; n=9233). Fitzpatrick skin type did not affect accuracy. The VISION-V data set (679 measurements from 127 participants) met all the standards: mean error −0.1, SD 3.4 for RR; mean error 1.4, SD 3.8 for PR; mean error 2.8, SD 14.5 for systolic BP; and mean error −0.3, SD 7.0 for diastolic BP. ConclusionsAt this early stage in development, Lifelight demonstrates sufficient accuracy in the measurement of VSs to support certification for a Level 1 Conformité Européenne mark. As the use of Lifelight does not require specific training or equipment, the software is potentially useful for the contactless measurement of VSs by nonclinical staff in residential and home care settings. Work is continuing to enhance data collection and processing to achieve the robustness and accuracy required for routine clinical use. International Registered Report Identifier (IRRID)RR2-10.2196/1432

Utility of Climatic Information via Combining Ability Models to Improve Genomic Prediction for Yield Within the Genomes to Fields Maize Project

Genomic prediction provides an efficient alternative to conventional phenotypic selection for developing improved cultivars with desirable characteristics. New and improved methods to genomic prediction are continually being developed that attempt to deal with the integration of data types beyond genomic information. Modern automated weather systems offer the opportunity to capture continuous data on a range of environmental parameters at specific field locations. In principle, this information could characterize training and target environments and enhance predictive ability by incorporating weather characteristics as part of the genotype-by-environment (G×E) interaction component in prediction models. We assessed the usefulness of including weather data variables in genomic prediction models using a naïve environmental kinship model across 30 environments comprising the Genomes to Fields (G2F) initiative in 2014 and 2015. Specifically four different prediction scenarios were evaluated (i) tested genotypes in observed environments; (ii) untested genotypes in observed environments; (iii) tested genotypes in unobserved environments; and (iv) untested genotypes in unobserved environments. A set of 1,481 unique hybrids were evaluated for grain yield. Evaluations were conducted using five different models including main effect of environments; general combining ability (GCA) effects of the maternal and paternal parents modeled using the genomic relationship matrix; specific combining ability (SCA) effects between maternal and paternal parents; interactions between genetic (GCA and SCA) effects and environmental effects; and finally interactions between the genetics effects and environmental covariates. Incorporation of the genotype-by-environment interaction term improved predictive ability across all scenarios. However, predictive ability was not improved through inclusion of naive environmental covariates in G×E models. More research should be conducted to link the observed weather conditions with important physiological aspects in plant development to improve predictive ability through the inclusion of weather data