70 research outputs found

    The Grizzly, December 5, 1995

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    Concerns About Commencement • Bohanak Injured in Accident • Dean Search Committee Appointed • Science: Fact or Fiction? • Lower Prices = Lower Quality • No One is Going to Starve • Religion as a Basis for Morality? • Fun With the Subjunctive • Letters to the Editor • The Beatles Anthology • Messiah a Success • Bears Surprise NYU • Bears Open Conference Play with Two Wins • Ortman Starts Season with a Bang • Teams Begin Season with Winshttps://digitalcommons.ursinus.edu/grizzlynews/1371/thumbnail.jp

    The Grizzly, February 27, 1996

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    Koestner Gives First-Hand Account of Date Rape • J-Board Charges Reimert Residents • Swastikas are Removed from Bomberger Hall • Buchanan Wins New Hampshire • The Skipped Diploma • Evolutionary Doubts • Fighting for Real Social Change • In Support of Healthier Relationships • Alan Morrison to Perform Recital • U.S.G.A. News • Faculty Spotlight: Dr. Peter Perreten • Staff Spotlight: Todd McKinney • Gymnasts End Season With a Win • Lacrosse Team Ranked 15th • Bears Compete at Indoor Championships • Lady Bears Fall in Conference Semishttps://digitalcommons.ursinus.edu/grizzlynews/1376/thumbnail.jp

    The Grizzly, November 7, 1995

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    The Inauguration of President John Strassburger • Colloquium Report • Dilemma After Dark • The Truth About the Honor Code • Canned Food Drive a Success • Rabin Assassinated • Canada Remains Unified • Enough is Enough • Dr. Oboler Responds • Homosexuality: It Doesn\u27t Have to Last Forever • There is More Than One Christian View • A Parent\u27s View • A Big Thank You! • Inauguration Day • Making Ursinus Whole • And the Verdict is... • New Additions in Zack\u27s • Snell Cup Comes Home • Season Ends with Win • Football Team Avoids Centennial Cellarhttps://digitalcommons.ursinus.edu/grizzlynews/1368/thumbnail.jp

    The Grizzly, February 20, 1996

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    Talk Show Trouble • Major Fair 1996 • J.D. Salinger: A Grizzly Staffer!; The Skipped Diploma • Boxer Tommy Morrison HIV-Positive • Swedish Vocal Ensemble to Perform • Meet the Candidates: A Largely Biased Commentary • Take it Back, Captain Jack? • Blatant Generalizations • You Bet Your Life • Confessions of a Computer Dork • To Bus or Not to Bus • Vicki Abt Revisited • Free Speech, Abortion, and Presidential Politics • Valentine\u27s Spectacular Brings Elegant Dining to Zack\u27s • WVOU: State of the Nation • Airband Proceeds to Help Student Ryan Auch • Guys Come Up Short in Muhlenberg • Lady Bears Get Crushed by Muhlenberg • Bears Place Four at Eastern Regionalshttps://digitalcommons.ursinus.edu/grizzlynews/1375/thumbnail.jp

    Global dataset on seagrass meadow structure, biomass and production

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    Seagrass meadows provide valuable socio-ecological ecosystem services, including a key role in climate change mitigation and adaption. Understanding the natural history of seagrass meadows across environmental gradients is crucial to deciphering the role of seagrasses in the global ocean. In this data collation, spatial and temporal patterns in seagrass meadow structure, biomass and production data are presented as a function of biotic and abiotic habitat characteristics. The biological traits compiled include measures of meadow structure (e.g. percent cover and shoot density), biomass (e.g. above-ground biomass) and production (e.g. shoot production). Categorical factors include bioregion, geotype (coastal or estuarine), genera and year of sampling. This dataset contains data extracted from peer-reviewed publications published between 1975 and 2020 based on a Web of Science search and includes 11 data variables across 12 seagrass genera. The dataset excludes data from mesocosm and field experiments, contains 14271 data points extracted from 390 publications and is publicly available on the PANGAEA® data repository (10.1594/PANGAEA.929968; Strydom et al., 2021). The top five most studied genera are Zostera, Thalassia, Cymodocea, Halodule and Halophila (84 % of data), and the least studied genera are Phyllospadix, Amphibolis and Thalassodendron (2.3 % of data). The data hotspot bioregion is the Tropical Indo-Pacific (25 % of data) followed by the Tropical Atlantic (21 %), whereas data for the other four bioregions are evenly spread (ranging between 13 and 15 % of total data within each bioregion). From the data compiled, 57 % related to seagrass biomass and 33 % to seagrass structure, while the least number of data were related to seagrass production (11 % of data). This data collation can inform several research fields beyond seagrass ecology, such as the development of nature-based solutions for climate change mitigation, which include readership interested in blue carbon, engineering, fisheries, global change, conservation and policy

    Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

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    Objective: We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. Study Design and Setting: We performed logistic regression (LR), lasso regression, and ridge regression with key baseline predictors in the IMPACT-II database (15 studies, n = 11,022). ML algorithms included support vector machines, random forests, gradient boosting machines, and artificial neural networks and were trained using the same predictors. To assess generalizability of predictions, we performed internal, internal-external, and external validation on the recent CENTER-TBI study (patients with Glasgow Coma Scale <13, n = 1,554). Both calibration (calibration slope/intercept) and discrimination (area under the curve) was quantified. Results: In the IMPACT-II database, 3,332/11,022 (30%) died and 5,233(48%) had unfavorable outcome (Glasgow Outcome Scale less than 4). In the CENTER-TBI study, 348/1,554(29%) died and 651(54%) had unfavorable outcome. Discrimination and calibration varied widely between the studies and less so between the studied algorithms. The mean area under the curve was 0.82 for mortality and 0.77 for unfavorable outcomes in the CENTER-TBI study. Conclusion: ML algorithms may not outperform traditional regression approaches in a low-dimensional setting for outcome prediction after moderate or severe traumatic brain injury. Similar to regression-based prediction models, ML algorithms should be rigorously validated to ensure applicability to new populations

    Distribution and Cconnection to other Plant-Communities of Genista radiata (L.) Scop in the South Tyrol (Italy)

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    Es werden die Genista radiata-Bestände an der Mendel in Südtirol (Italien) beschrieben und ihr Gesellschaftsanschluß diskutiert. Das Genisto-Festucetum alpestris Peer 83 besidelt steile südexponierte Kalkhänge der hochmontanen und subalpinen Stufe und ersetzt z.T. den Zwergstrauchgürtel mit Pinus mugo. Ähnlich zusammengesetzt ist das Genisto-Festucetum alpestris pinetosum Peer 83, das in den ¡lockeren Erika-Kiefernwäldern auftritt und bis in die tiefmontane Stufe hinunterreicht. Keinerlei syntaxonomische Bedeutung besitzt Genista radiata in den thermophilen Buschwaldgesellschaften, in denen die Pflanze lediglich eine Variante zum Orno-Ostryetum seslerietosum Peer 81 darstellt und speziell in der Saumzone anzutreffen ist. Auch in den Lärchenwiesen der Kammlagen kommt Genista radiata nur sporadisch vor. Sie ist hier mit dem Festucetum nigrescentis laricetosum subass. prov. verzahnt.Istražene su vegetacijske sastojine vrste Genista radiata u južnom Tirolu i razmatrana njihova fitocenološka pripadnost. Asocijacija Genisto-Festucetum alpestris Peer 83 nastava strme, južne vapnenačke obronke visokobrdskog i subalpskog pojasa. Subasocijacija Genisto-Festucetum alpestris pinetosum Peer 83 dolazi u rijetkim borovim šumama s crnjušom i spušta se do u niži brdski pojas. Termofilne niske šume, u kojima Genista radiata nema posebno sintaksonomsko značenje, označene su samo kao varijanta zajednice Orno-Ostryetum seslerietosum Peer 81. Genista radiata dolazi također na travnjacima s arišem, ali samo sporadično i to u mješavini sa zajednicom Festucetum nigrescentis laricetosnm subass. prov.The Genista radiata-communities of the Mendel in the South Tyrol (Italy) are described and their connection to other plant-communities is discussed. Genisto-Festucetum alpestris Peer 83 settles on steep, south- exposed colcareous slopes of high-mountain and subalpine altitudes and replaces particularly the dwarf-shrub-belt with Firms mugo. Similar contents aire found in Genisto-F estucetum alpestris pinetasum Peer 83, which occurs in undensed Erico-Pinetum-communities and reaches down to the low-mountain-altitude. In the thermophilic bush-communities, in which Genista radiata is found only as a variant of Orneto-Ostryetum seslerie- tosum (Peer 81), the plant has no syntaxonomic importance. Genista radiata especially is found in the edge-zone. In the grassland of the larch- communities of the ridges Genista radiata appears only sporadically. Here the plant appeals in Festucetum nigrescentis laricetosum subass. prov

    Animal-borne telemetry: An integral component of the ocean observing toolkit

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    Animal telemetry is a powerful tool for observing marine animals and the physical environments that they inhabit, from coastal and continental shelf ecosystems to polar seas and open oceans. Satellite-linked biologgers and networks of acoustic receivers allow animals to be reliably monitored over scales of tens of meters to thousands of kilometers, giving insight into their habitat use, home range size, the phenology of migratory patterns and the biotic and abiotic factors that drive their distributions. Furthermore, physical environmental variables can be collected using animals as autonomous sampling platforms, increasing spatial and temporal coverage of global oceanographic observation systems. The use of animal telemetry, therefore, has the capacity to provide measures from a suite of essential ocean variables (EOVs) for improved monitoring of Earth's oceans. Here we outline the design features of animal telemetry systems, describe current applications and their benefits and challenges, and discuss future directions. We describe new analytical techniques that improve our ability to not only quantify animal movements but to also provide a powerful framework for comparative studies across taxa. We discuss the application of animal telemetry and its capacity to collect biotic and abiotic data, how the data collected can be incorporated into ocean observing systems, and the role these data can play in improved ocean management
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