79,528 research outputs found

    Programma CARLSON per il calcolo dell'inerzia termica e dell'umidità del suolo, applicazioni ad immagini telerilevate

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    Il codice CARLSON permette di calcolare l'evoluzione, dei diversi parametri meteorologici (profili verticali della temperatura del suolo e dell'aria, dell'umidità atmosferica e della velocità del vento) sulla base di un modello sviluppato dal dr. Toby N. Carlson della Pennsylvania State University. Il bilancio termico viene eseguito sulla base di alcune proprietà del suolo (inerzia termica e umidità), anche in condizioni di copertura da vegetazione, che influenzano il trasporto del calore in esso. E' stato possibile instaurare un loop iterativo sulle proprietà fisiche del suolo; in tal modo si può costruire una 'look up table' tramite la quale correlare inerzia termica e contenuto di umidità al salto termico diurno della superficie del suol

    Mobile Public Warning Experiment Dataset from Carlson et al. (2024)

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    Data collected from a Qualtrics panel (N = 481). Experimental design to test participants' response intentions after being exposed to a notional 360-character or 90-character complete mobile waring message (i.e., Wireless Emergency Alert). This work was supported by the National Institutes of Health, award #1DP2EB022360-01. For full description of methods, please see Carlson, E. J., Bean, H., Ratcliff, C., Pokharel, M., & Barbour, J. (2024). Do 360‐character Wireless Emergency Alert messages work better than 90‐character messages? Testing the risk communication consensus. Journal of Contingencies and Crisis Management, 32(2). https://doi.org/10.1111/1468-5973.1258

    T. Thomas/E. Carlson Farm, Minnehaha County

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    35 mm negative, two-story house with some damage to the roof and siding, plants grow around the house foundation3 ring binder: N3 Page 3 N3 Black & White Roll #3 Minnehaha County Historic Sites Survey/ Phase 2 - 1996Minnehaha County Survey Surveyor: M. L. Dennis October 1996 5062 PX Kodak Roll #3 Frame 13 Site MH-RR-02 Name T. Thomas/E. Carlson Far

    T. Thomas/E. Carlson Farm, Minnehaha County

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    35 mm negative, two-story white house with damage to siding, garage and car are in the background, plants grow around the house3 ring binder: N3 Page 3 N3 Black & White Roll #3 Minnehaha County Historic Sites Survey/ Phase 2 - 1996Minnehaha County Survey Surveyor: M. L. Dennis October 1996 5062 PX Kodak Roll #3 Frame 14 Site MH-RR-02 Name T. Thomas/E. Carlson Far

    T. Thomas/E. Carlson Farm, Minnehaha County

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    35 mm negative, two-story white house with balcony on second level, damage to siding and one boarded-up window on lower level, second building next door3 ring binder: N3 Page 3 N3 Black & White Roll #3 Minnehaha County Historic Sites Survey/ Phase 2 - 1996Minnehaha County Survey Surveyor: M. L. Dennis October 1996 5062 PX Kodak Roll #3 Frame 15 Site MH-RR-02 Name T. Thomas/E. Carlson Far

    T. Thomas/E. Carlson Farm, Minnehaha County

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    35 mm negative, two-story house with balcony on second level and a bay window on the first, the balcony shows signs of damage, other buildings are in the background3 ring binder: N3 Page 3 N3 Black & White Roll #3 Minnehaha County Historic Sites Survey/ Phase 2 - 1996Minnehaha County Survey Surveyor: M. L. Dennis October 1996 5062 PX Kodak Roll #3 Frame 12 Site MH-RR-02 Name T. Thomas/E. Carlson Far

    Mining e-mail content for author identification forensics

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    We describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation

    Windmill at T. Thomas/E. Carlson Farm, Minnehaha County

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    35 mm negative, fences around a windmill, another building behind the windmill3 ring binder: N3 Page 3 N3 Black & White Roll #3 Minnehaha County Historic Sites Survey/ Phase 2 - 1996Minnehaha County Survey Surveyor: M. L. Dennis October 1996 5062 PX Kodak Roll #3 Frame 17 Site MH-RR-02 Name T. Thomas/E. Carlson Far

    Isolation and characterization of two glycoproteins from the salivary glands of isoproterenol-treated hamsters

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    Isoproterenol induces several proline-rich phosphoproteins in the hamster parotid gland (Mehansho, H., Ann, D. K., Butler, L. G., Rogler, J. and Carlson, D. M. J. Biol. Chem. 262, 12344-12350). One of these phosphoproteins is also glycosylated and appears to be regulated in a dose-dependent manner. This phosphoglycoprotein (PGP89) has an apparent molecular weight of 89,000 on SDS-PAGE. Purification of PGP89 was greatly assisted by its solubility in 10% trichloroacetic acid which was followed by a combination of gel filtration and ion exchange chromatography. Sequence analysis showed that the amino-terminal of PGP89 is blocked. Clostripain digestion yielded one major glycopeptide which had the sequence H G N Q T Q P R P P R P D. This sequence of the glycopeptide of PGP89 is almost the same as that found for SGP158 (Mehansho, H., and Carlson, D. M. (1983) J. Biol. Chem. 258 6616-6620) D G N Q T Q P R P P H P. Antibodies made against deglycosylated rat SGP158 cross-react with both the native and deglycosylated hamster PGP89. Isoproterenol also induces proline-rich proteins in the submandibular glands of hamsters. One of these proteins is a glycoprotein (SGP180) with an apparent molecular weight on SDS-PAGE of 180,000. Unlike the other proline-rich proteins induced by isoproterenol there is a high basal level of SGP180. Isoproterenol results in at most a three-fold induction. Like the PRPs SGP180 is soluble in 10% trichloroacetic acid and contains low amount of aromatics and sulfur containing amino acids, but unlike the PRPs the proline content is low (16%). SGP180 which closely resembles mucin glycoproteins is high in hydroxy-amino acids, (threonine 50%) and contains 60% carbohydrate which is O-linked. The carbohydrate moiety is like that of ovine submaxillary gland mucin, N-acetylneuraminic acid linked to N-acetylgalactosamine. The presence of sialic acid makes the glycoprotein resistant to proteases, a factor that was exploited in its purification

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods
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