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4,458 result(s) for "Aguilar, David A"
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13 planets : the latest view of the solar system
Profiles each of the planets in Earth's solar system, including Pluto, Ceres, Eris, Haumea, MakeMake, the sun, the Oort cloud, comets, and more.
Omics-squared: human genomic, transcriptomic and phenotypic data for genetic analysis workshop 19
Background The Genetic Analysis Workshops (GAW) are a forum for development, testing, and comparison of statistical genetic methods and software. Each contribution to the workshop includes an application to a specified data set. Here we describe the data distributed for GAW19, which focused on analysis of human genomic and transcriptomic data. Methods GAW19 data were donated by the T2D-GENES Consortium and the San Antonio Family Heart Study and included whole genome and exome sequences for odd-numbered autosomes, measures of gene expression, systolic and diastolic blood pressures, and related covariates in two Mexican American samples. These two samples were a collection of 20 large families with whole genome sequence and transcriptomic data and a set of 1943 unrelated individuals with exome sequence. For each sample, simulated phenotypes were constructed based on the real sequence data. ‘Functional’ genes and variants for the simulations were chosen based on observed correlations between gene expression and blood pressure. The simulations focused primarily on additive genetic models but also included a genotype-by-medication interaction. A total of 245 genes were designated as ‘functional’ in the simulations with a few genes of large effect and most genes explaining < 1 % of the trait variation. An additional phenotype, Q1, was simulated to be correlated among related individuals, based on theoretical or empirical kinship matrices, but was not associated with any sequence variants. Two hundred replicates of the phenotypes were simulated. The GAW19 data are an expansion of the data used at GAW18, which included the family-based whole genome sequence, blood pressure, and simulated phenotypes, but not the gene expression data or the set of 1943 unrelated individuals with exome sequence.
Freaky Facts About the Moon
\"The moon is Earth's closest celestial neighbor, covered with huge craters, rugged mountains, and flat, gray plains formed from lava that flowed across its surface billions of years ago. But it wasn't until 50 years ago that people finally walked on its surface, when astronaut Neil Armstrong became the first human to step on lunar soil on July 20, 1969. Scientists are anxious to go back.\" (National Geographic Kids) Read more about Earth's moon.
Luna : the science and stories of our moon
Through gorgeous illustrations and photography, readers will see the moon as never before. Weaving together science and myth, history and technology, this book is ideal for anyone who's ever imagined walking on the moon, wondered about the night sky, or been captivated by a thrilling werewolf story.
Seven wonders of the Milky Way
Blast off to the oldest star in our galaxy, zoom around planetary nebulae dubbed \"the butterflies of space,\" circle past humongous, ringed exoplanets, and close in on newly discovered orbs that just might support alien life. David Aguilar, former Director of Science Information at the Harvard Smithsonian Center for Astrophysics, and creator of Cosmic Catastrophes and Seven Wonders of the Solar System, takes us on a unique space journey through the Milky Way.
Leveraging external data in the design and analysis of clinical trials in neuro-oncology
Integration of external control data, with patient-level information, in clinical trials has the potential to accelerate the development of new treatments in neuro-oncology by contextualising single-arm studies and improving decision making (eg, early stopping decisions). Based on a series of presentations at the 2020 Clinical Trials Think Tank hosted by the Society of Neuro-Oncology, we provide an overview on the use of external control data representative of the standard of care in the design and analysis of clinical trials. High-quality patient-level records, rigorous methods, and validation analyses are necessary to effectively leverage external data. We review study designs, statistical methods, risks, and potential distortions in using external data from completed trials and real-world data, as well as data sources, data sharing models, ongoing work, and applications in glioblastoma.
Alien worlds : your guide to extraterrestrial life
Considers the plausibility of alien life and what creatures living on extrasolar planets might be like, drawing on scientific sources to depict alien creatures who have adapted to the unique characteristics of their respective environments.
A Multimetric, Map-Aware Routing Protocol for VANETs in Urban Areas
In recent years, the general interest in routing for vehicular ad hoc networks (VANETs) has increased notably. Many proposals have been presented to improve the behavior of the routing decisions in these very changeable networks. In this paper, we propose a new routing protocol for VANETs that uses four different metrics. which are the distance to destination, the vehicles’ density, the vehicles’ trajectory and the available bandwidth, making use of the information retrieved by the sensors of the vehicle, in order to make forwarding decisions, minimizing packet losses and packet delay. Through simulation, we compare our proposal to other protocols, such as AODV (Ad hoc On-Demand Distance Vector), GPSR (Greedy Perimeter Stateless Routing), I-GPSR (Improvement GPSR) and to our previous proposal, GBSR-B (Greedy Buffer Stateless Routing Building-aware). Besides, we present a performance evaluation of the individual importance of each metric to make forwarding decisions. Experimental results show that our proposed forwarding decision outperforms existing solutions in terms of packet delivery.