Turbsim: Reliability-based wind turbine simulator,

Abstract-Wind turbine farms are an effective generator of electricity in windy parts of the world, with prices progressing to levels competitive with other sources. Choosing the correct turbine for a given installation requires significant engineering and the current trend leads towards groups of large horizontal axis turbines. Unfortunately, large wind turbines have to contend with large forces and other sources of failure. With the new push to move generation farms offshore where they are less accessible, the issue of reliability becomes more critical. This work investigates the impact of reliability in a life-cycle analysis simulation of a theoretical wind farm in Massachusetts based upon reliability information from a number of academic sources. The simulator, TurbSim, is designed with significant modularity to enable reliability simulation of any turbine with available wind information. Our simulation of a turbine indicated that reliability makes a small but noticeable impact of 1.24% in its output

Application of Axiomatic Design in Designing Autonomous Underwater Photography Lighting

AbstractThe Biology department of the University of Iceland is using a Gavia Autonomous Underwater Vehicle (AUV) to take high-resolution images of the seabed at various depths for research purposes. However, after a new color camera module was developed for the AUV, obtaining high-quality images has proven to be difficult with the original strobe light. Axiomatic Design was employed to develop a suitable lighting module suitable for still images and video. The performance of different light sources in water was investigated to determine design parameters. The completed design uses LED lights should work with the new camera module at operating depth without compromising AUV dynamics nor significantly impacting mission time

The Grizzly, April 22, 1983

Commencement Speaker Named • Career Strategies Revealed • Dance Week Planned • Xeroxing Illegal? • Letter to the Editor • Ursinus Night • New Policies at Wismer • U.C. Ugly Men • Successful Forum • Survivor Speaks • Alcohol Survey Results Questioned • Concert Soloists • New Class Officers • News Briefs: Dance Workshop for All; Women Plan Tour of Harbor Place; Free Bomberger Concert; Book Sale Continues at Library; Rhea Duryea Johnson Collection of Salt and Pepper Shakers • Success Formulas Revealed in Real World 101 • Ursinus Nine Looking Strong • Men\u27s Lacrosse Braves Elements • Golfers Start Well • Women\u27s Season Nears Conclusion • Women\u27s Lacrosse Downs Lafayette • Women\u27s Tennis Falls Short of Potential • Men\u27s Track Victorious • Bozentka Leads Men\u27s Tennis to Comeback Victoryhttps://digitalcommons.ursinus.edu/grizzlynews/1099/thumbnail.jp

Adjustadesk — An Adjustable Height Desk

It is no wonder that demand of adjustable desks is increasing in the world. People are dealing with long hours sitting down and many have musculoskeletal system problems due to this. Our idea started with this concept but then we applied it for the Reykjavík University workshop which really needs better facilities to keep your laptop and other equipment out of harm's way while working on projects. Our idea is to make an affordable adjustable desk that is suitable for a workshop environment. It will only be mechanical, unlike most desks which are driven by electrical motors. To reduce the gravitational force of the desk we will use gas struts, this will give the desk more flowing motion. The desk met all our requirements. After building the desk we tested it and can withstand 200 kg on the top and can be pushed from all sides with 50 kg without flexing. It slides up and down with smoothly and locks in position without any problems

Girls and Boys Born before 28 Weeks Gestation: Risks of Cognitive, Behavioral, and Neurologic Outcomes at Age 10 Years

To compare the prevalence of cognitive, neurological, and behavioral outcomes at 10 years of age in 428 girls and 446 boys who were born extremely preterm (EP)

The Dark Energy Survey : more than dark energy – an overview

This overview paper describes the legacy prospect and discovery potential of the Dark Energy Survey (DES) beyond cosmological studies, illustrating it with examples from the DES early data. DES is using a wide-field camera (DECam) on the 4 m Blanco Telescope in Chile to image 5000 sq deg of the sky in five filters (grizY). By its completion, the survey is expected to have generated a catalogue of 300 million galaxies with photometric redshifts and 100 million stars. In addition, a time-domain survey search over 27 sq deg is expected to yield a sample of thousands of Type Ia supernovae and other transients. The main goals of DES are to characterize dark energy and dark matter, and to test alternative models of gravity; these goals will be pursued by studying large-scale structure, cluster counts, weak gravitational lensing and Type Ia supernovae. However, DES also provides a rich data set which allows us to study many other aspects of astrophysics. In this paper, we focus on additional science with DES, emphasizing areas where the survey makes a difference with respect to other current surveys. The paper illustrates, using early data (from ‘Science Verification’, and from the first, second and third seasons of observations), what DES can tell us about the Solar system, the Milky Way, galaxy evolution, quasars and other topics. In addition, we show that if the cosmological model is assumed to be +cold dark matter, then important astrophysics can be deduced from the primary DES probes. Highlights from DES early data include the discovery of 34 trans-Neptunian objects, 17 dwarf satellites of the Milky Way, one published z > 6 quasar (and more confirmed) and two published superluminous supernovae (and more confirmed)

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead