2,102 research outputs found

    Advanced Solid-State Array Spectrometer (ASAS) data sets from the 1990 field season: A unique look at two forested ecosystems

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    The Advanced Solid-state Array Spectrometer (ASAS) is a pointable imaging spectrometer which uses a solid-state array to acquire imagery of terrestrial targets in 29 spectral bands from .4 to .8 microns. Performance and calibration of the instrument are described. The ASAS data sets obtained in 1990 provide a unique look at forest canopies from two different forest regions of the North America continent under varying temporal, spectral, and bidirectional conditions. These data sets will be used to study such parameters as the albedo of forest canopies, the dynamics of scene radiation due to factors such as canopy architecture, moisture stress, leaf chemistry, topography, and understory composition

    How effective--and safe--are systemic steroids for acute low back pain?

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    Short courses of systemic steroids are likely safe, but they are ineffective. A single dose of intramuscular (IM) or intravenous (IV) methylprednisolone doesn't improve long-term pain scores in patients with low back pain and sciatica and produces conflicting effects on function. Oral prednisone (9-day taper) doesn't improve pain or function in patients with back pain and sciatica. A single IM dose of methylprednisolone doesn't improve pain scores or function in patients with back pain without sciatica (strength of recommendation: B, randomized controlled trials [RCTs]). No trials of corticosteroids for back pain reported an increase in adverse outcomes, but studies were small, and only short-term (1 month) follow-up data are available

    Restructuring and Serving Web-Accessible Streamflow Data From the NOAA National Water Model Historic Simulations

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    In 2016, the National Oceanic and Atmospheric Administration deployed the first iteration of an operational National Water Model (NWM) to forecast the water cycle in the continental United States. With many versions, an hourly, multi-decadal historic simulation is made available to the public. In all released to date, the files containing simulated streamflow contain a snapshot of model conditions across the entire domain for a single timestep which makes accessing time series a technical and resource-intensive challenge. In the most recent release, extracting a complete streamflow time series for a single location requires managing 367,920 files (~16.2 TB). In this work we describe a reproducable process for restructuring a sequential set of NWM steamflow files for efficient time series access and provide restructured datasets for versions 1.2 (1993-2018), 2.0 (1993-2020), and 2.1 (1979-2022). These datasets have been made accessible via an OPeNDAP enabled THREDDS data server for public use and a brief analysis highlights the latest version of the model should not be assumed best for all locations. Laslty, we describe an R package that expedites data retrieval with examples for multiple use-cases

    Assessing adaptation of the cancer kinome in response to targeted therapies

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    Cancer cells are dependent on protein kinase signalling networks to drive proliferation and to promote survival, and, accordingly, kinases continue to represent a major target class for development of anti-cancer therapeutics. Kinase inhibitors nevertheless have yielded only limited success with many different malignancies due to the inability of single agents to sustain a durable clinical response. Cancer cell kinomes are highly resilient and able to bypass targeted kinase inhibition, leading to tumour resistance. A novel platform has been developed to analyse the activity of the expressed kinome using MIBs (multiplexed inhibitor beads), which consist of Sepharose beads with covalently immobilized inhibitors that preferentially bind activated kinases. Coupling MIB capture with MS (MIB-MS) allows simultaneous determination of the activity of over 75% of the expressed kinome, facilitating high-throughput assessment of adaptive kinase responses resulting from deregulated feedback and feedforward regulatory mechanisms. The adaptive response frequently involves transcriptional up-regulation of specific kinases that allow bypass of the targeted kinase. Understanding how the kinome reprogrammes to targeted kinase inhibition will allow novel therapeutic strategies to be developed for durable clinical responses

    The Ursinus Weekly, April 26, 1965

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    Ursinus Meistersingers present tour program • Student-Faculty show combines music, humor, satire • Library week: April 25 to May 1 • Campus Chest encouraged by enthusiastic support: One down, one to go • Campus freedom, Sunisru and you • Dr. Helfferich hosts dinner • Invitation • Shakespeare theatre festival • Last chapel May 13th • Editorial: Meistersingers concert; They\u27re all right, Jack; In the name of sweet charity • H.R.C. wages unending war: Greater than 1776 • Toward maturity • Peon or pledge? • Lacrosse team remains undefeated • Baseball team evens log; Beats W. Maryland, Johns Hopkins • Thinclads nip Swarthmore • Softballers open season with win • MSGA candidates speak out: L. Rudnyansky; R. Reed; R. Shaw • U.C. student pioneer corpsman • Ruby sales awards • Greek gleaningshttps://digitalcommons.ursinus.edu/weekly/1247/thumbnail.jp

    Second cohomology for finite groups of Lie type

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    Let GG be a simple, simply-connected algebraic group defined over Fp\mathbb{F}_p. Given a power q=prq = p^r of pp, let G(Fq)⊂GG(\mathbb{F}_q) \subset G be the subgroup of Fq\mathbb{F}_q-rational points. Let L(λ)L(\lambda) be the simple rational GG-module of highest weight λ\lambda. In this paper we establish sufficient criteria for the restriction map in second cohomology H2(G,L(λ))→H2(G(Fq),L(λ))H^2(G,L(\lambda)) \rightarrow H^2(G(\mathbb{F}_q),L(\lambda)) to be an isomorphism. In particular, the restriction map is an isomorphism under very mild conditions on pp and qq provided λ\lambda is less than or equal to a fundamental dominant weight. Even when the restriction map is not an isomorphism, we are often able to describe H2(G(Fq),L(λ))H^2(G(\mathbb{F}_q),L(\lambda)) in terms of rational cohomology for GG. We apply our techniques to compute H2(G(Fq),L(λ))H^2(G(\mathbb{F}_q),L(\lambda)) in a wide range of cases, and obtain new examples of nonzero second cohomology for finite groups of Lie type.Comment: 29 pages, GAP code included as an ancillary file. Rewritten to include the adjoint representation in types An, B2, and Cn. Corrections made to Theorem 3.1.3 and subsequent dependent results in Sections 3-4. Additional minor corrections and improvements also implemente

    First cohomology for finite groups of Lie type: simple modules with small dominant weights

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    Let kk be an algebraically closed field of characteristic p>0p > 0, and let GG be a simple, simply connected algebraic group defined over Fp\mathbb{F}_p. Given r≥1r \geq 1, set q=prq=p^r, and let G(Fq)G(\mathbb{F}_q) be the corresponding finite Chevalley group. In this paper we investigate the structure of the first cohomology group H1(G(Fq),L(λ))H^1(G(\mathbb{F}_q),L(\lambda)) where L(λ)L(\lambda) is the simple GG-module of highest weight λ\lambda. Under certain very mild conditions on pp and qq, we are able to completely describe the first cohomology group when λ\lambda is less than or equal to a fundamental dominant weight. In particular, in the cases we consider, we show that the first cohomology group has dimension at most one. Our calculations significantly extend, and provide new proofs for, earlier results of Cline, Parshall, Scott, and Jones, who considered the special case when λ\lambda is a minimal nonzero dominant weight.Comment: 24 pages, 5 figures, 6 tables. Typos corrected and some proofs streamlined over previous versio

    The Disunity of Consciousness

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    It is commonplace for both philosophers and cognitive scientists to express their allegiance to the "unity of consciousness". This is the claim that a subjectÂ’s phenomenal consciousness, at any one moment in time, is a single thing. This view has had a major influence on computational theories of consciousness. In particular, what we call single-track theories dominate the literature, theories which contend that our conscious experience is the result of a single consciousness-making process or mechanism in the brain. We argue that the orthodox view is quite wrong: phenomenal experience is not a unity, in the sense of being a single thing at each instant. It is a multiplicity, an aggregate of phenomenal elements, each of which is the product of a distinct consciousness-making mechanism in the brain. Consequently, cognitive science is in need of a multi-track theory of consciousness; a computational model that acknowledges both the manifold nature of experience, and its distributed neural basis
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