Results 181 to 190 of about 1,268 (218)

Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder. [PDF]

Nat Genet
Nievergelt CM, Maihofer AX, Atkinson EG, Chen CY, Choi KW, Coleman JRI, Daskalakis NP, Duncan LE, Polimanti R, Aaronson C, Amstadter AB, Andersen SB, Andreassen OA, Arbisi PA, Ashley-Koch AE, Austin SB, Avdibegoviç E, Babić D, Bacanu SA, Baker DG, Batzler A, Beckham JC, Belangero S, Benjet C, Bergner C, Bierer LM, Biernacka JM, Bierut LJ, Bisson JI, Boks MP, Bolger EA, Brandolino A, Breen G, Bressan RA, Bryant RA, Bustamante AC, Bybjerg-Grauholm J, Bækvad-Hansen M, Børglum AD, Børte S, Cahn L, Calabrese JR, Caldas-de-Almeida JM, Chatzinakos C, Cheema S, Clouston SAP, Colodro-Conde L, Coombes BJ, Cruz-Fuentes CS, Dale AM, Dalvie S, Davis LK, Deckert J, Delahanty DL, Dennis MF, Desarnaud F, DiPietro CP, Disner SG, Docherty AR, Domschke K, Dyb G, Kulenović AD, Edenberg HJ, Evans A, Fabbri C, Fani N, Farrer LA, Feder A, Feeny NC, Flory JD, Forbes D, Franz CE, Galea S, Garrett ME, Gelaye B, Gelernter J, Geuze E, Gillespie CF, Goleva SB, Gordon SD, Goçi A, Grasser LR, Guindalini C, Haas M, Hagenaars S, Hauser MA, Heath AC, Hemmings SMJ, Hesselbrock V, Hickie IB, Hogan K, Hougaard DM, Huang H, Huckins LM, Hveem K, Jakovljević M, Javanbakht A, Jenkins GD, Johnson J, Jones I, Jovanovic T, Karstoft KI, Kaufman ML, Kennedy JL, Kessler RC, Khan A, Kimbrel NA, King AP, Koen N, Kotov R, Kranzler HR, Krebs K, Kremen WS, Kuan PF, Lawford BR, Lebois LAM, Lehto K, Levey DF, Lewis C, Liberzon I, Linnstaedt SD, Logue MW, Lori A, Lu Y, Luft BJ, Lupton MK, Luykx JJ, Makotkine I, Maples-Keller JL, Marchese S, Marmar C, Martin NG, Martínez-Levy GA, McAloney K, McFarlane A, McLaughlin KA, McLean SA, Medland SE, Mehta D, Meyers J, Michopoulos V, Mikita EA, Milani L, Milberg W, Miller MW, Morey RA, Morris CP, Mors O, Mortensen PB, Mufford MS, Nelson EC, Nordentoft M, Norman SB, Nugent NR, O'Donnell M, Orcutt HK, Pan PM, Panizzon MS, Pathak GA, Peters ES, Peterson AL, Peverill M, Pietrzak RH, Polusny MA, Porjesz B, Powers A, Qin XJ, Ratanatharathorn A, Risbrough VB, Roberts AL, Rothbaum AO, Rothbaum BO, Roy-Byrne P, Ruggiero KJ, Rung A, Runz H, Rutten BPF, de Viteri SS, Salum GA, Sampson L, Sanchez SE, Santoro M, Seah C, Seedat S, Seng JS, Shabalin A, Sheerin CM, Silove D, Smith AK, Smoller JW, Sponheim SR, Stein DJ, Stensland S, Stevens JS, Sumner JA, Teicher MH, Thompson WK, Tiwari AK, Trapido E, Uddin M, Ursano RJ, Valdimarsdóttir U, Van Hooff M, Vermetten E, Vinkers CH, Voisey J, Wang Y, Wang Z, Waszczuk M, Weber H, Wendt FR, Werge T, Williams MA, Williamson DE, Winsvold BS, Winternitz S, Wolf C, Wolf EJ, Xia Y, Xiong Y, Yehuda R, Young KA, Young RM, Zai CC, Zai GC, Zervas M, Zhao H, Zoellner LA, Zwart JA, deRoon-Cassini T, van Rooij SJH, van den Heuvel LL, AURORA Study, Estonian Biobank Research Team, FinnGen Investigators, HUNT All-In Psychiatry, Stein MB, Ressler KJ, Koenen KC.   +238 more
europepmc   +1 more source

Investigating the Spectral Characteristics of High-Temperature Gases in Low-Carbon Chemical Pool Fires and Developing a Spectral Model. [PDF]

Toxics
Jiang G, Chen Z, Liang Y, Li P, Liu Q, Zhou L.   +5 more
europepmc   +1 more source

Evaluation of atmospheric correction algorithms for salt lake water assessment: Accuracy, band-specific effects, and sensor consistency. [PDF]

PLoS One
Liu C, Zhang F, Zhang F, Jim CY, Oke SA, Adam E.   +5 more
europepmc   +1 more source

Effects of genetically predicted posttraumatic stress disorder on autoimmune phenotypes. [PDF]

Transl Psychiatry
Maihofer AX, Ratanatharathorn A, Hemmings SMJ, Costenbader KH, Michopoulos V, Polimanti R, Rothbaum AO, Seedat S, Mikita EA, CHARGE Inflammation Working Group, Psychiatric Genomics Consortium PTSD Working Group, Smith AK, Salem RM, Shaffer RA, Wu T, Sebat J, Ressler KJ, Stein MB, Koenen KC, Wolf EJ, Sumner JA, Nievergelt CM.   +21 more
europepmc   +1 more source

Multi-step implementation of meiotic crossover patterning

Čavka I, Woglar A, Wu Y, Durmus EB, Sloat L, Gros A, López CP, Hecht F, Villeneuve AM, Ries J, Köhler S.   +10 more
europepmc   +1 more source

U-Net Super-Resolution Model of GOCI to GOCI-II Image Conversion

IEEE Transactions on Geoscience and Remote Sensing
Jisun Shin, Young-Heon Jo, Boo-Keun Khim   +2 more
exaly   +2 more sources

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Application of GOCI Satellite Data to Ocean Modeling

Journal of Coastal Research, 2013
ABSTRACT Kim, C.S., Park, Y.J., Park, K.S., Shim, J.S. and Lim, H.S., 2013. Application of GOCI Satellite Data to Ocean Modeling This study demonstrates possible application of satellite data to numerical modeling, and vice versa, to improve the quality of the processed information. A new geostationary satellite with the three missions of communication,
Chang S. Kim, Young-Je Park, Kwang Soon Park, Jae Seol Shim, Hak-Soo Lim   +4 more
openaire   +1 more source

Cloud motion in the GOCI/COMS ocean colour data

International Journal of Remote Sensing, 2016
The Geostationary Ocean Colour Imager GOCI instrument, on Korea’s Communications, Oceans, and Meteorological Satellite COMS, can produce a spectral artefact arising from the motion of clouds – the cloud is spatially shifted and the amount of shift varies by spectral band.
Wayne D. Robinson, Bryan A. Franz, Antonio Mannino, Jae-Hyun Ahn   +3 more
openaire   +1 more source

Estimation of aerosol spectral characteristics by GOCI hourly observations

SPIE Proceedings, 2014
This study proposes a method for estimating the spectral characteristics of aerosol scattering using the Korean Geostationary Ocean Color Imager (GOCI). GOCI three-hourly observations around noon are used to separate ocean and aerosol reflectance with the assumption that the aerosol amount changes but that the spectral shape of the aerosol scattering ...
Hiroshi Murakami, Yoko Kiyomoto, Hiroaki Sasaki   +2 more
openaire   +1 more source