Seabrook

OK, pretty much anything to do with airports is a First World problem. But hear me out.

NASA’s return to the Moon presents unparalleled opportunities to advance high-impact scientific capabilities. At the cutting edge of these possibilities are extremely high-resolution interferometric observations at visible and ultraviolet wavelengths. Such technology can resolve the surfaces of stars, explore the inner accretion disks of nascent stars and black holes, and eventually enable us to observe surface features and weather patterns on nearby exoplanets. We have been awarded Phase 1 support from NASA's Innovative Advanced Concepts (NIAC) program to explore the feasibility of constructing a high-resolution, long-baseline UV/optical imaging interferometer on the lunar surface, in conjunction with the Artemis Program. A 1996 study comparing interferometers on the Moon versus free-flyers in space concluded that, without pre-existing lunar infrastructure, free-flyers were preferable. However, with the advent of the Artemis Program, it is now crucial to revisit the potential of building lunar interferometers. Our objective is to conduct a study with the same level of rigor applied to large baseline, free-flying interferometers during the 2003-2005 NASA Vision Missions Studies. This preparation is essential for timely and effective utilization of the forthcoming lunar infrastructure. In this paper, we highlight the groundbreaking potential of a lunar surface-based interferometer. This concept study will be a huge step forward to larger arrays on both the moon and free-flying in space, over a wide variety of wavelengths and science topics. Our Phase 1 study began in April 2024, and here we present a concise overview of our vision and the progress made so far.

The lifetime risk of silicosis associated with low-level occupational exposure to respirable crystalline silica remains unclear because most previous radiographic studies included workers with varying exposure concentrations and durations. This study assessed the prevalence of silicosis after lengthy exposure to respirable crystalline silica at levels ≤ 0.10 mg/m3. Vermont granite workers employed any time during 1979-1987 were traced and chest radiographs were obtained for 356 who were alive in 2017 and residing in Vermont. Work history, smoking habits and respiratory symptoms were obtained by interview, and exposure was estimated using a previously developed job-exposure matrix. Associations between radiographic findings, exposure, and respiratory symptoms were assessed by ANOVA, chi-square tests and binary regression. Fourteen workers (3.9%) had radiographic evidence of silicosis, and all had been employed ≥30 years. They were more likely to have been stone cutters or carvers and their average exposure concentrations and cumulative exposures to respirable crystalline silica were significantly higher than workers with similar durations of employment and no classifiable parenchymal abnormalities. This provides direct evidence that workers with long-term exposure to low-level respirable crystalline silica (≤0.10 mg/m3) are at risk of developing silicosis.

The classroom was abuzz with excitement as Ms. Rodriguez, the 8th-grade science teacher, unveiled the day's project. "Today," she announced, "we're going to explore the wonders of the solar system using an AI assistant."

The term “artificial intelligence” (AI) represents a category of software systems that emulate tasks requiring human intelligence and cognition, from playing chess to diagnosing diseases and engaging in spoken-language conversations. This chapter explores the dynamic landscape of AI, dissecting the realms of Traditional AI and Generative AI.

The computer lab hummed with anticipation as Mr. Chen, the high school computer science teacher, stood before his class of eager students. "Today," he announced, "we're going to explore some of the most powerful AI tools available to us as learners. These aren't just fancy chatbots; they're gateways to knowledge and creativity that can revolutionize how we learn and solve problems."

The kitchen table was strewn with textbooks, notebooks, and a tablet propped up against a cereal box. Twelve-year-old Maya sat hunched over her math homework, her forehead creased in concentration. Her mother, Dr. Patel, watched from the doorway, a mix of concern and curiosity on her face.

This book serves as an introduction to the NFTs and as a source of inspiration for connecting problem and solution dots.

We present a comprehensiveanalysis of all ring systems (both heterocyclicand nonheterocyclic) in clinical trial compounds and FDA-approveddrugs. We show 67% of small molecules in clinical trials compriseonly ring systems found in marketed drugs, which mirrors previouslypublished findings for newly approved drugs. We also show there areapproximately 450 000 unique ring systems derived from 2.24billion molecules currently available in synthesized chemical space,and molecules in clinical trials utilize only 0.1% of this availablepool. Moreover, there are fewer ring systems in drugs compared withthose in clinical trials, but this is balanced by the drug ring systemsbeing reused more often. Furthermore, systematic changes of up totwo atoms on existing drug and clinical trial ring systems give aset of 3902 future clinical trial ring systems, which are predictedto cover approximately 50% of the novel ring systems entering clinicaltrials.

Abstract We measured the angular diameters of 44 stars with the Navy Precision Optical Interferometer, obtaining uncertainties on the limb-darkened diameter of 2% or less for all but four stars. We then used our diameters with Gaia or Hipparcos parallaxes to calculate each star’s physical radius. We gathered information from the literature to determine bolometric flux and luminosity, and combined that with our diameters to produce an effective temperature. Our sample consists of mostly giant stars, and spans a wide range of spectral classes from B to M.