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8,581 results on '"J. Stein"'

2. Mental Health in Individuals with a History of Mental Disorder during COVID-19-Pandemic - Preliminary Results of the National Cohort Study in Germany

Author

S.G. Riedel-Heller, A. Pabst, J. Stein, H. Grabe, M. Rietschel, and K. Berger

Subjects
Vulnerable Groups, COVID19, Longitudinal study, Depression, Psychiatry, RC435-571
Abstract

Introduction Research of COVID-19-Pandemic mental health impact focus on three groups: the general population, (2) so called vulnerable groups (e.g. individuals with mental disorders) and (3) individuals suffering COVID-19 including Long-COVID syndromes. Objectives We investigate whether individuals with a history of depression in the past, react to the COVID-19 pandemic with increased depressive symptoms. Methods Longitudinal Data stem from the NAKO-Baseline-Assessment (2014-2019, 18 study centers in Germany, representative sampled individuals from 20 to 74 years) and the subsequent NAKO-COVID-Assessment (5-11/2020). The sample for analysis comprises 115.519 individuals. History of psychiatric disorder was operationalized as lifetime self-report for physician-diagnosed depression. Depressive symptoms were measured with the PHQ 9. Results Mean age of the sample at baseline was 49.95 (SD 12.53). It comprised 51.70 women; 14 % of the individuals had a history of physician-diagnosed depression. Considering a PHQ-Score with cut-off 10 as a clinical relevant depression, 3.65 % of the individuals without history of depression and 24.19 % of those with a history of depression were depressed at baseline. The NAKO-COVID-Assessment revealed 6.53 % depressed individuals without any history of depression and a similar rate of 23.29 % in those with history of depression. Conclusions In contrast to that what we expected, individuals with a history of a physician-diagnosed depression, did not react with increasing depressiveness during the first phase of the pandemic in Germany. Several reasons could be discussed. Whether there medium and long-term impact remains open. Disclosure No significant relationships.

Published
2022
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3. Projecting Changes in Expected Annual Damages From Riverine Flooding in the United States

Author

C. Wobus, P. Zheng, J. Stein, C. Lay, H. Mahoney, M. Lorie, D. Mills, R. Spies, B. Szafranski, and J. Martinich

Subjects
flood risk, climate change, hydrology, Environmental sciences, GE1-350, Ecology, QH540-549.5
Abstract

Abstract Inland flood risk in the United States is most often conveyed through maps of 1% annual exceedance probability (AEP) or “100‐year” floodplains. However, monetary damages from flooding arise from a full distribution of events, including floods both larger and smaller than the 1% AEP event. Furthermore, floodplains are not static, since both the frequency and magnitude of flooding are likely to change in a warming climate. We explored the implications of a changing frequency and magnitude of flooding across a wide spectrum of flood events, using a sample of 376 watersheds in the United States where floodplains from multiple recurrence intervals have been mapped. Using an inventory of assets within these mapped floodplains, we first calculated expected annual damages (EADs) from flooding in each watershed under baseline climate conditions. We find that the EAD is typically a factor of 5–7 higher than the expected damages from 100‐year events alone and that much of these damages are attributable to floods smaller than the 1% AEP event. The EAD from flooding typically increases by 25–50% under a 1 °C warming scenario and in most regions more than double under a 3 °C warming scenario. Further increases in EAD are not as pronounced beyond 3 °C warming, suggesting that most of the projected increases in flood damages will have already occurred, for most regions of the country, by that time. Adaptations that protect against today's 100‐year flood will have increasing benefits in a warmer climate by also protecting against more frequent, smaller events.

Published
2019
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4. Congenital heart disease in the ESC EORP Registry of Pregnancy and Cardiac disease (ROPAC)

Author

Karishma P. Ramlakhan, Mark R. Johnson, Malgorzata Lelonek, Aly Saad, Zaur Gasimov, Natalia V. Sharashkina, Patrick Thornton, Margaret Arstall, Roger Hall, Jolien W. Roos-Hesselink, Jolien Roos-Hesselink, Joerg Stein, William Anthony Parsonage, Werner Budts, Julie De Backer, Jasmin Grewal, Ariane Marelli, Harald Kaemmerer, Guillaume Jondeau, Mark Johnson, Aldo P. Maggioni, Luigi Tavazzi, Ulf Thilen, Uri Elkayam, Catherine Otto, Karen Sliwa, A. Aquieri, A. Saad, H. Ruda Vega, J. Hojman, J.M. Caparros, M. Vazquez Blanco, M. Arstall, C.M. Chung, G. Mahadavan, E. Aldridge, M. Wittwer, Y.Y. Chow, W.A. Parsonage, K. Lust, N. Collins, G. Warner, R. Hatton, A. Gordon, E. Nyman, J. Stein, E. Donhauser, H. Gabriel, A. Bahshaliyev, F. Guliyev, I. Hasanova, T. Jahangirov, Z. Gasimov, A. Salim, C.M. Ahmed, F. Begum, M.H. Hoque, M. Mahmood, M.N. Islam, P.P. Haque, S.K. Banerjee, T. Parveen, M. Morissens, J. De Backer, L. Demulier, M. de Hosson, W. Budts, M. Beckx, M. Kozic, M. Lovric, T. Kovacevic-Preradovic, N. Chilingirova, P. Kratunkov, N. Wahab, S. McLean, E. Gordon, L. Walter, A. Marelli, A.R. Montesclaros, G. Monsalve, C. Rodriguez, F. Balthazar, V. Quintero, W. Palacio, L.A. Mejía Cadavid, E. Munoz Ortiz, F. Fortich Hoyos, E. Arevalo Guerrero, J. Gandara Ricardo, J. Velasquez Penagos, Z. Vavera, Prague, J. Popelova, N. Vejlstrup, L. Grønbeck, M. Johansen, A. Ersboll, Y. Elrakshy, K. Eltamawy, M. Gamal Abd-El Aziz, A. El Nagar, H. Ebaid, H. Abo Elenin, M. Saed, S. Farag, W. Makled, K. Sorour, Z. Ashour, G. El-Sayed, M. Abdel Meguid Mahdy, N. Taha, A. Dardeer, M. Shabaan, M. Ali, P. Moceri, G. Duthoit, M. Gouton, J. Nizard, L. Baris, S. Cohen, M. Ladouceur, D. Khimoud, B. Iung, F. Berger, A. Olsson, U. Gembruch, W.M. Merz, E. Reinert, S. Clade, Y. Kliesch, C. Wald, C. Sinning, R. Kozlik-Feldmann, S. Blankenberg, E. Zengin-Sahm, G. Mueller, M. Hillebrand, P. Hauck, Y. von Kodolitsch, N. Zarniko, Muenster H. Baumgartner, R. Schmidt, A. Hellige, O. Tutarel, H. Kaemmerer, B. Kuschel, N. Nagdyman, R. Motz, D. Maisuradze, A. Frogoudaki, E. Iliodromitis, M. Anastasiou-Nana, Marousi, D. Triantafyllis, G. Bekiaris, H. Karvounis, G. Giannakoulas, D. Ntiloudi, S.A. Mouratoglou, A. Temesvari, H. Balint, D. Kohalmi, B. Merkely, C. Liptai, A. Nemes, T. Forster, A. Kalapos, K. Berek, K. Havasi, N. Ambrus, A. Shelke, R. Kawade, S. Patil, E. Martanto, T.M. Aprami, A. Purnomowati, C.J. Cool, M. Hasan, R. Akbar, S. Hidayat, T.I. Dewi, W. Permadi, D.A. Soedarsono, M.M. Ansari-Ramandi, N. Samiei, A. Tabib, F. Kashfi, S. Ansari-Ramandi, S. Rezaei, H. Ali Farhan, A. Al-Hussein, G. Al-Saedi, G. Mahmood, I.F. Yaseen, L. Al-Yousuf, M. AlBayati, S. Mahmood, S. Raheem, T. AlHaidari, Z. Dakhil, P. Thornton, J. Donnelly, M. Bowen, A. Blatt, G. Elbaz-Greener, A. Shotan, S. Yalonetsky, S. Goland, M. Biener, G. Egidy Assenza, M. Bonvicini, A. Donti, A. Bulgarelli, D. Prandstraller, C. Romeo, R. Crepaz, E. Sciatti, M. Metra, R. Orabona, L. Ait Ali, P. Festa, V. Fesslova, C. Bonanomi, M. Calcagnino, F. Lombardi, A.M. Colli, M.W. Ossola, C. Gobbi, E. Gherbesi, L. Tondi, M. Schiavone, M. Squillace, M.G. Carmina, A. Maina, C. Macchi, E. Gollo, F.M. Comoglio, N. Montali, P. Re, R. Bordese, T. Todros, V. Donvito, W. Grosso Marra, G. Sinagra, B. D'Agata Mottolese, M. Bobbo, V. Gesuete, S. Rakar, F. Ramani, K. Niwa, D. Mekebekova, A. Mussagaliyeva, T. Lee, E. Mirrakhimov, S. Abilova, E. Bektasheva, K. Neronova, O. Lunegova, R. Žaliūnas, R. Jonkaitienė, J. Petrauskaitė, A. Laucevicius, D. Jancauskaite, L. Lauciuviene, L. Gumbiene, L. Lankutiene, S. Glaveckaite, M. Laukyte, S. Solovjova, V. Rudiene, K.H. Chee, C.C.-W. Yim, H.L. Ang, R. Kuppusamy, T. Watson, M. Caruana, M.-E. Estensen, M.G.A. Mahmood Kayani, R. Munir, A. Tomaszuk-Kazberuk, B. Sobkowicz, J. Przepiesc, A. Lesniak-Sobelga, L. Tomkiewicz-Pajak, M. Komar, M. Olszowska, P. Podolec, S. Wisniowska-Smialek, M. Lelonek, U. Faflik, A. Cichocka-Radwan, K. Plaskota, O. Trojnarska, N. Guerra, L. de Sousa, C. Cruz, V. Ribeiro, S. Jovanova, V. Petrescu, R. Jurcut, C. Ginghina, I. Mircea Coman, M. Musteata, O. Osipova, T. Golivets, I. Khamnagadaev, O. Golovchenko, A. Nagibina, I. Ropatko, I.R. Gaisin, L. Valeryevna Shilina, N. Sharashkina, E. Shlyakhto, O. Irtyuga, O. Moiseeva, E. Karelkina, I. Zazerskaya, A. Kozlenok, I. Sukhova, L. Jovovic, K. Prokšelj, M. Koželj, A.O. Askar, A.A. Abdilaahi, M.H. Mohamed, A.M. Dirir, K. Sliwa, P. Manga, A. Pijuan-Domenech, L. Galian-Gay, P. Tornos, M.T. Subirana, M. T, Subirana, J.M. Oliver, B. Garcia-Aranda Dominguez, I. Hernandez Gonzalez, J.F. Delgado Jimenez, P. Escribano Subias, N. Murga, A. Elbushi, A. Suliman, K. Jazzar, M. Murtada, N. Ahamed, M. Dellborg, E. Furenas, M. Jinesjo, K. Skoglund, P. Eriksson, T. Gilljam, U. Thilen, D. Tobler, K. Wustmann, F. Schwitz, M. Schwerzmann, T. Rutz, J. Bouchardy, M. Greutmann, B.M. Santos Lopes, L. Meier, M. Arrigo, K. de Boer, T. Konings, E. Wajon, L.J. Wagenaar, P. Polak, E.P.G. Pieper, J. Roos-Hesselink, I. van Hagen, H. Duvekot, J.M.J. Cornette, C. De Groot, C. van Oppen, L. Sarac, O. Batukan Esen, S. Catirli Enar, C. Mondo, P. Ingabire, B. Nalwanga, T. Semu, B.T. Salih, W.A.R. Almahmeed, S. Wani, F.S. Mohamed Farook, Al Ain, F. Gerges, A.M. Komaranchath, F. Al bakshi, A. Al Mulla, A.H. Yusufali, E.I. Al Hatou, N. Bazargani, F. Hussain, L. Hudsmith, P. Thompson, S. Thorne, S. Bowater, A. Money-Kyrle, P. Clifford, P. Ramrakha, S. Firoozan, J. Chaplin, N. Bowers, D. Adamson, F. Schroeder, R. Wendler, S. Hammond, P. Nihoyannopoulos, Norwich Norfolk, R. Hall, L. Freeman, G. Veldtman, J. Kerr, L. Tellett, N. Scott, A.B. Bhatt, D. DeFaria Yeh, M.A. Youniss, M. Wood, A.A. Sarma, S. Tsiaras, A. Stefanescu, J.M. Duran, L. Stone, D.S. Majdalany, J. Chapa, K. Chintala, P. Gupta, J. Botti, J. Ting, W.R. Davidson, G. Wells, D. Sparks, V. Paruchuri, K. Marzo, D. Patel, W. Wagner, S.N. Ahanya, L. Colicchia, T. Jentink, K. Han, M. Loichinger, M. Parker, C. Longtin, A. Yetman, K. Erickson, J. Cramer, S. Tsai, B. Fletcher, S. Warta, C. Cohen, C. Lindblade, R. Puntel, K. Nagaran, N. Croft, M. Gurvitz, C. Otto, C. Talluto, D. Murphy, and M.G. Perlroth

Subjects
Congenital heart disease, Pregnancy, Maternal health, Observational registry, Diseases of the circulatory (Cardiovascular) system, RC666-701
Published
2021
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5. Overview of the Meso-NH model version 5.4 and its applications

Author

C. Lac, J.-P. Chaboureau, V. Masson, J.-P. Pinty, P. Tulet, J. Escobar, M. Leriche, C. Barthe, B. Aouizerats, C. Augros, P. Aumond, F. Auguste, P. Bechtold, S. Berthet, S. Bielli, F. Bosseur, O. Caumont, J.-M. Cohard, J. Colin, F. Couvreux, J. Cuxart, G. Delautier, T. Dauhut, V. Ducrocq, J.-B. Filippi, D. Gazen, O. Geoffroy, F. Gheusi, R. Honnert, J.-P. Lafore, C. Lebeaupin Brossier, Q. Libois, T. Lunet, C. Mari, T. Maric, P. Mascart, M. Mogé, G. Molinié, O. Nuissier, F. Pantillon, P. Peyrillé, J. Pergaud, E. Perraud, J. Pianezze, J.-L. Redelsperger, D. Ricard, E. Richard, S. Riette, Q. Rodier, R. Schoetter, L. Seyfried, J. Stein, K. Suhre, M. Taufour, O. Thouron, S. Turner, A. Verrelle, B. Vié, F. Visentin, V. Vionnet, and P. Wautelet

Subjects
Geology, QE1-996.5
Abstract

This paper presents the Meso-NH model version 5.4. Meso-NH is an atmospheric non hydrostatic research model that is applied to a broad range of resolutions, from synoptic to turbulent scales, and is designed for studies of physics and chemistry. It is a limited-area model employing advanced numerical techniques, including monotonic advection schemes for scalar transport and fourth-order centered or odd-order WENO advection schemes for momentum. The model includes state-of-the-art physics parameterization schemes that are important to represent convective-scale phenomena and turbulent eddies, as well as flows at larger scales. In addition, Meso-NH has been expanded to provide capabilities for a range of Earth system prediction applications such as chemistry and aerosols, electricity and lightning, hydrology, wildland fires, volcanic eruptions, and cyclones with ocean coupling. Here, we present the main innovations to the dynamics and physics of the code since the pioneer paper of Lafore et al. (1998) and provide an overview of recent applications and couplings.

Published
2018
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6. Abstracts from the 3rd Conference on Aneuploidy and Cancer: Clinical and Experimental Aspects

Author

Athel Cornish-Bowden, David Rasnick, Henry H. Heng, Steven Horne, Batoul Abdallah, Guo Liu, Christine J. Ye, Mathew Bloomfield, Mark D. Vincent, C. Marcelo Aldaz, Jenny Karlsson, Anders Valind, Caroline Jansson, David Gisselsson, Jennifer A. Marshall Graves, Aleksei A. Stepanenko, Svitlana V. Andreieva, Kateryna V. Korets, Dmytro O. Mykytenko, Nataliya L. Huleyuk, Vladimir P. Baklaushev, Oksana A. Kovaleva, Vladimir P. Chekhonin, Yegor S. Vassetzky, Stanislav S. Avdieiev, Bjorn Bakker, Aaron S. Taudt, Mirjam E. Belderbos, David Porubsky, Diana C. J. Spierings, Tristan V. de Jong, Nancy Halsema, Hinke G. Kazemier, Karina Hoekstra-Wakker, Allan Bradley, Eveline S. J. M. de Bont, Anke van den Berg, Victor Guryev, Peter M. Lansdorp, Maria Colomé Tatché, Floris Foijer, Thomas Liehr, Nicolaas C. Baudoin, Joshua M. Nicholson, Kimberly Soto, Isabel Quintanilla, Jordi Camps, Daniela Cimini, M. Dürrbaum, N. Donnelly, V. Passerini, C. Kruse, B. Habermann, Z. Storchová, Daniele Mandrioli, Fiorella Belpoggi, Ellen K Silbergeld, Melissa J Perry, Rolf I. Skotheim, Marthe Løvf, Bjarne Johannessen, Andreas M. Hoff, Sen Zhao, Jonas M. SveeStrømme, Anita Sveen, Ragnhild A. Lothe, R. Hehlmann, A. Voskanyan, A. Fabarius, Alfred Böcking, Stefan Biesterfeld, Leonid Berynskyy, Christof Börgermann, Rainer Engers, Josef Dietz, A. Fritz, N. Sehgal, J. Vecerova, B. Stojkovicz, H. Ding, N. Page, C. Tye, S. Bhattacharya, J. Xu, G. Stein, J. Stein, R. Berezney, Xue Gong, Sarah Grasedieck, Julian Swoboda, Frank G. Rücker, Lars Bullinger, Jonathan R. Pollack, Fani-Marlen Roumelioti, Maria Chiourea, Christina Raftopoulou, Sarantis Gagos, Peter Duesberg, Mat Bloomfield, Sunyoung Hwang, Hans Tobias Gustafsson, Ciara O’Sullivan, Aracelli Acevedo-Colina, Xinhe Huang, Christian Klose, Andrej Schevchenko, Robert C. Dickson, Paola Cavaliere, Noah Dephoure, Eduardo M. Torres, Martha R. Stampfer, Lukas Vrba, Mark A. LaBarge, Bernard Futscher, James C. Garbe, Yi-Hong Zhou, Andrew L. Trinh, and Michelle Digman

Subjects
Genetics, QH426-470
Published
2017
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7. Segundo consenso europeo basado en evidencia sobre el diagnóstico y tratamiento de la colitis ulcerosa crónica idiopática. Parte 3: situaciones especiales (versión española)

Author

G. van Assche, A. Dignass, B. Bokemeyer, S. Danese, P. Gionchetti, G. Moser, L. Beaugerie, F. Gomollón, W. Häuser, K. Herrlinger, B. Oldenburg, J. Panes, F. Portela, G. Rogler, J. Stein, H. Tilg, S. Travis, and J.O. Lindsay

Subjects
Colitis ulcerosa, Anemia, Pouchitis, Vigilancia del cáncer colorrectal, Psicosomática, Manifestaciones extraintestinales, Diseases of the digestive system. Gastroenterology, RC799-869
Published
2015
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11. The Meso-NH Atmospheric Simulation System. Part I: adiabatic formulation and control simulations

Author

J. P. Lafore, J. Stein, N. Asencio, P. Bougeault, V. Ducrocq, J. Duron, C. Fischer, P. Héreil, P. Mascart, V. Masson, J. P. Pinty, J. L. Redelsperger, E. Richard, and J. Vilà-Guerau de Arellano

Subjects
Science, Physics, QC1-999, Geophysics. Cosmic physics, QC801-809
Abstract

The Meso-NH Atmospheric Simulation System is a joint effort of the Centre National de Recherches Météorologiques and Laboratoire d'Aérologie. It comprises several elements; a numerical model able to simulate the atmospheric motions, ranging from the large meso-alpha scale down to the micro-scale, with a comprehensive physical package, a flexible file manager, an ensemble of facilities to prepare initial states, either idealized or interpolated from meteorological analyses or forecasts, a flexible post-processing and graphical facility to visualize the results, and an ensemble of interactive procedures to control these functions. Some of the distinctive features of this ensemble are the following: the model is currently based on the Lipps and Hemler form of the anelastic system, but may evolve towards a more accurate form of the equations system. In the future, it will allow for simultaneous simulation of several scales of motion, by the so-called "interactive grid-nesting technique". It allows for the in-line computation and accumulation of various terms of the budget of several quantities. It allows for the transport and diffusion of passive scalars, to be coupled with a chemical module. It uses the relatively new Fortran 90 compiler. It is tailored to be easily implemented on any UNIX machine. Meso-NH is designed as a research tool for small and meso-scale atmospheric processes. It is freely accessible to the research community, and we have tried to make it as "user-friendly" as possible, and as general as possible, although these two goals sometimes appear contradictory. The present paper presents a general description of the adiabatic formulation and some of the basic validation simulations. A list of the currently available physical parametrizations and initialization methods is also given. A more precise description of these aspects will be provided in a further paper.

Published
1998
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24. Scholarly use of information: graduate students' information seeking behaviour

Author

C. George, A. Bright, T. Hurlbert, E.C. Linke, G. St. Clair, and J. Stein

Subjects
graduate students' information seeking behaviour, Bibliography. Library science. Information resources
Abstract

Introduction. This study explored graduate students' information behaviour related to their process of inquiry and scholarly activities. Method. In depth, semi-structured interviews were conducted with one hundred graduate students representing all disciplines and departments from Carnegie Mellon University. Analysis. Working in pairs, we coded transcripts of interviews into meaningful categories using ATLAS.ti software. The combined use of quantitative and qualitative analysis aimed to reduce subjectivity. Results. Graduate students often begin with a meeting with professors who provide direction, recommend and provide resources. Other students help to shape graduate students' research activities, and university library personnel provide guidance in finding resources. The Internet plays a major role, although students continue to use print resources. Convenience, lack of sophistication in finding and using resources and course requirements affect their information behaviour. Findings vary across disciplines and between programmes. Conclusion. Libraries can influence students' information behaviour by re-evaluating their instructional programmes and provision of resources and services. They can take a lead by working with academic staff to guide students.

Published
2006

27. DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features.

Author

Vladimir Belov, Tracy Erwin-Grabner, Ling-Li Zeng, Christopher R. K. Ching, André Aleman, Alyssa R. Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Colm G. Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G. Davey, Annemiek Dols, Jan Ernsting, Jennifer W. Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Hans Jörgen Grabe, Nynke A. Groenewold, Dominik Grotegerd, Tim Hahn, J. Paul Hamilton, Laura K. M. Han, Ben J. Harrison, Tiffany C. Ho, Neda Jahanshad, Alec J. Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas M. Lancaster, Ramona Leenings, Meng Li, David E. J. Linden, Frank P. MacMaster, David M. A. Mehler, Susanne Meinert, Elisa Melloni, Bryon A. Mueller, Benson Mwangi, Igor Nenadic, Amar Ojha, Yasumasa Okamoto, Mardien L. Oudega, Brenda W. J. H. Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J. Portella, Elena Pozzi, Joaquim Radua, Elena Rodríguez-Cano, Matthew D. Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C. Soares, Aleix Solanes, Dan J. Stein, Frederike Stein, Aleks Stolicyn, Sophia I. Thomopoulos, Yara J. Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C. Whalley, Sarah Whittle, Nils R. Winter, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, and Roberto Goya-Maldonado

Published
2023
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38. Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.

Author

Xi Zhu, Yoojean Kim, Orren Ravid, Xiaofu He, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Seonjoo Lee, Chadi G. Abdallah, Michael Angstadt, Christopher L. Averill, C. Lexi Baird, Lee Baugh, Jennifer Urbano Blackford, Jessica Bomyea, Steven E. Bruce, Richard A. Bryant, Zhihong Cao, Kyle Choi, Josh M. Cisler, Andrew S. Cotton, Judith K. Daniels, Nicholas D. Davenport, Richard J. Davidson, Michael D. De Bellis, Emily L. Dennis, Maria Densmore, Terri A. deRoon-Cassini, Seth G. Disner, Wissam El-Hage, Amit Etkin, Negar Fani, Kelene A. Fercho, Jacklynn M. Fitzgerald, Gina L. Forster, Jessie L. Frijling, Elbert Geuze, Atilla Gonenc, Evan M. Gordon, Staci Gruber, Daniel W. Grupe, Jeffrey P. Guenette, Courtney C. Haswell, Ryan J. Herringa, Julia Herzog, David Bernd Hofmann, Bobak Hosseini, Anna R. Hudson, Ashley A. Huggins, Jonathan C. Ipser, Neda Jahanshad, Meilin Jia-Richards, Tanja Jovanovic, Milissa L. Kaufman, Mitzy Kennis, Anthony King, Philipp Kinzel, Saskia B. J. Koch, Inga Koerte, Sheri-Michelle Koopowitz, Mayuresh S. Korgaonkar, John H. Krystal, Ruth A. Lanius, Christine L. Larson, Lauren A. M. Lebois, Gen Li, Israel Liberzon, Guang Ming Lu, Yifeng Luo, Vincent A. Magnotta, Antje Manthey, Adi Maron-Katz, Geoffery May, Katie A. McLaughlin, Sven C. Mueller, Laura Nawijn, Steven M. Nelson, Richard W. J. Neufeld, Jack B. Nitschke, Erin O'Leary, Bunmi O. Olatunji, Miranda Olff, Matthew Peverill, K. Luan Phan, Rongfeng Qi, Yann Quidé, Ivan Rektor, Kerry J. Ressler, Pavel Riha, Marisa Ross, Isabelle M. Rosso, Lauren E. Salminen, Kelly A. Sambrook, Christian Schmahl, Martha Elizabeth Shenton, Margaret A. Sheridan, Chiahao Shih, Maurizio Sicorello, Anika Sierk, Alan N. Simmons, Raluca M. Simons, Jeffrey S. Simons, Scott R. Sponheim, Murray B. Stein, Dan J. Stein, Jennifer S. Stevens, Thomas Straube, Delin Sun, Jean Théberge, Paul M. Thompson, Sophia I. Thomopoulos, Nic J. A. van der Wee, Steven J. A. van der Werff, Theo G. M. van Erp, Sanne J. H. van Rooij, Mirjam van Zuiden, Tim Varkevisser, Dick J. Veltman, Robert R. J. M. Vermeiren, Henrik Walter, Li Wang 0033, Xin Wang 0090, Carissa N. Weis, Sherry Winternitz, Hong Xie, Ye Zhu, Melanie Wall, Yuval Neria, and Rajendra A. Morey

Published
2023
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39. Case-controlled field study of the ICD-11 clinical descriptions and diagnostic requirements for Bodily Distress Disorders

Author

Jared Keeley, Geoffrey M. Reed, Tahilia Rebello, Julia Brechbiel, Jose Angel Garcia-Pacheco, Kazeem Adebayo, Oluyomi Esan, Oluyinka Majekodunmi, Akin Ojagbemi, Lucky Onofa, Rebeca Robles, Chihiro Matsumoto, Maria Elena Medina-Mora, Cary S. Kogan, Maya Kulygina, Wolfgang Gaebel, Min Zhao, Michael C. Roberts, Pratap Sharan, Jose Luis Ayuso-Mateos, Brigitte Khoury, Dan J. Stein, Anne M. Lovell, Kathleen Pike, Francis Creed, and Oye Gureje

Subjects
Psychiatry and Mental health, Clinical Psychology
Published
2023
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40. Timing of Magmatism and Skarn Formation at the Limon, Guajes, and Media Luna Gold ± Copper Skarn Deposits at Morelos, Guerrero State, Mexico

Author

Mathias Burisch, Steven D. Bussey, Nicolas Landon, Carlo Nasi, Alejandro Kakarieka, Axel Gerdes, Richard Albert, Holly J. Stein, Janet A. Gabites, Richard M. Friedman, and Lawrence D. Meinert

Subjects
Geophysics, Geochemistry and Petrology, Economic Geology, Geology
Abstract

The Morelos district, located in the center of the Guerrero gold belt, Guerrero State, southern Mexico, has been the site of several recent gold ± copper skarn discoveries (total of ~8.5 Moz Au) associated with Upper Cretaceous-Paleocene granodiorite intrusions. The Limon, Guajes, and Media Luna skarn deposits developed along the contact of the El Limon granodiorite and the sedimentary host rocks. Native gold is associated with retrograde alteration of garnet-pyroxene skarn and is accompanied by native bismuth as well as telluride and sulfide minerals. The Media Luna deposit is characterized by a distinct magnesium-rich skarn mineralogy and contains an average of ~1 wt % Cu, in addition to gold and silver. This distinguishes it from the other gold-only skarn deposits in the Guerrero gold belt. This observation suggests that skarns in the Guerrero gold belt, which replaced magnesium-rich sedimentary protoliths, may host significant copper resources in addition to gold. Uranium-lead laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) zircon ages of the El Limon granodiorite range from 66.86 ± 0.40 to 65.88 ± 0.79 Ma. Preskarn molybdenite-quartz veins cut through the El Limon granodiorite and yield Re-Os molybdenite ages between 66.63 ± 0.22 and 65.55 ± 0.25 Ma. A series of pre-, syn-, and postskarn porphyritic dikes intruded the El Limon granodiorite, having zircon ages ranging from 65.9 ± 1.1 to 64.68 ± 0.38 Ma. The timing of skarn formation at Limon and Media Luna was constrained to 64.6 ± 1.2 to 63.2 ± 1.0 Ma, applying U-Pb LA-ICP-MS to garnet. The ubiquitous presence of garnet in skarn deposits and the time- and cost-efficiency of in situ geochronology are striking advantages of this method to constrain the timing of mineralization.

Published
2023
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44. Outcomes of gynecologic cancer surgery during the COVID-19 pandemic: an international, multicenter, prospective CovidSurg-Gynecologic Oncology Cancer study

Author

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Wai, R, Wustrack, MJ, Xu, M, Zimel, D, CA) Beswick, J, Goddard, J, Manor, J, Song, Springs/Loveland, Denver/Colorado, A, Cioci, W, Pavlis, K, Rakoczy, G, Ruiz, R, Saberi, T, Fullmer, C, Gaskill, N, Gross, K, Kiong, CL, Roland, SN, Zafar, M, Abdallah, A, Abouassi, E, Aigbivbalu, M, Almasri, J, Eid, B, George, G, Kulkarni, H, Marwan, M, Mehdi, Andrés M, San, J, Sundaresan, SG, Aoun, VS, Ban, HH, Batjer, K, Bosler, J, Caruso, B, Sumer, D, Abbott, A, Acher, T, Aiken, J, Barrett, E, Foley, PB, Schwartz, AT, Hawkins, A, Maiga, NM, Ruzgar, M, Sion, S, Ullrich, J, Laufer, S, Scasso, Al-Naggar, H., Al-Shehari, M., A, Almassaudi, M, Alsayadi, R, Alsayadi, M, Nahshal, S, Shream, S, AL-Ameri, M, Aldawbali, Fotopoulou, Christina, Khan, Tabassum, Bracinik, Juraj, Glasbey, James, Abu-Rustum, Nadeem, Chiva, Luis, Fagotti, Anna, Fujiwara, Keiichi, Ghebre, Rahel, Gutelkin, Murat, Konney, Thomas O., Ng, Joseph, Pareja, Rene, Kottayasamy Seenivasagam, Rajkumar, Sehouli, Jalid, Surappa, Shylasree T.S., and Leung, Elaine

Published
2022
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47. Development and Validation of an Improved Hardiness Measure

Author

Paul T. Bartone, Kelly McDonald, Braden J. Hansma, Jonathan Stermac-Stein, E. M. Romero Escobar, Steven J. Stein, and Rebecca Ryznar

Subjects
Applied Psychology
Abstract

Abstract: Previous research shows that psychological hardiness is an important factor contributing to stress resilience in individuals. Of the various instruments available to measure hardiness, the most commonly used is the Dispositional Resilience Scale (DRS). Despite its demonstrated utility, the DRS-15 still has a number of serious limitations, including low subscale reliability and limited construct validity. The present work aims to create a new hardiness scale that addresses these limitations. A pool of new items plus the original DRS item set was administered to a census-matched stratified sample of N = 2,021 men and women across the United States. Items for the new scale were selected based on item distribution characteristics, item response theory plots, scale reliabilities, item-total correlations, and confirmatory factor analysis (CFA). CFA results showed the best fitting model reflected a hierarchical structure with three factors (commitment, control, and challenge) nested under a broad hardiness factor. This factor structure is replicated in two independent validation samples and also holds invariant across gender and age. The new scale shows much improved reliability coefficients (e.g., Cronbach’s α of .93, .85, .84, and .89 for total hardiness, challenge, control, and commitment, respectively), as well as structural equivalence across gender and age. Validity is demonstrated in multiple samples via predictive associations of hardiness scores with theoretically relevant outcome measures, including coping, life satisfaction, anxiety, and depression. The Hardiness Resilience Gauge (HRG) possesses excellent reliability and validity and appears to be a more effective tool for measuring hardiness in adult populations.

Published
2023
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49. Psychometric properties of the mini international neuropsychiatric interview (MINI) psychosis module: a Sub-Saharan Africa cross country comparison

Author

Kristina J. Korte, Florence Jaguga, Hannah H. Kim, Rocky E. Stroud, Anne Stevenson, Dickens Akena, Lukoye Atwoli, Stella Gichuru, Roxanne James, Edith Kwobah, Symon M. Kariuki, Joseph Kyebuzibwa, Rehema M. Mwema, Charles R. J. C. Newton, Zukiswa Zingela, Dan J. Stein, Melkam Alemayehu, Solomon Teferra, Karestan C. Koenen, and Bizu Gelaye

Subjects
Psychiatry and Mental health, Applied Psychology
Abstract

Background The Mini International Neuropsychiatric Inventory 7.0.2 (MINI-7) is a widely used tool and known to have sound psychometric properties; but very little is known about its use in low and middle-income countries (LMICs). This study aimed to examine the psychometric properties of the MINI-7 psychosis items in a sample of 8609 participants across four countries in Sub-Saharan Africa. Methods We examined the latent factor structure and the item difficulty of the MINI-7 psychosis items in the full sample and across four countries. Results Multiple group confirmatory factor analyses (CFAs) revealed an adequate fitting unidimensional model for the full sample; however, single group CFAs at the country level revealed that the underlying latent structure of psychosis was not invariant. Specifically, although the unidimensional structure was an adequate model fit for Ethiopia, Kenya, and South Africa, it was a poor fit for Uganda. Instead, a 2-factor latent structure of the MINI-7 psychosis items provided the optimal fit for Uganda. Examination of item difficulties revealed that MINI-7 item K7, measuring visual hallucinations, had the lowest difficulty across the four countries. In contrast, the items with the highest difficulty were different across the four countries, suggesting that MINI-7 items that are the most predictive of being high on the latent factor of psychosis are different for each country. Conclusions The present study is the first to provide evidence that the factor structure and item functioning of the MINI-7 psychosis vary across different settings and populations in Africa.

Published
2023
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50. A comparison of methods to harmonize cortical thickness measurements across scanners and sites.

Author

Delin Sun, Gopalkumar Rakesh, Courtney C. Haswell, Mark W. Logue, C. Lexi Baird, Erin O'Leary, Andrew S. Cotton, Hong Xie, Marijo B. Tamburrino, Tian Chen, Emily L. Dennis, Neda Jahanshad, Lauren E. Salminen, Sophia I. Thomopoulos, Faisal Rashid, Christopher R. K. Ching, Saskia B. J. Koch, Jessie L. Frijling, Laura Nawijn, Mirjam van Zuiden, Xi Zhu, Benjamin Suarez-Jimenez, Anika Sierk, Henrik Walter, Antje Manthey, Jennifer S. Stevens, Negar Fani, Sanne J. H. van Rooij, Murray B. Stein, Jessica Bomyea, Inga Koerte, Kyle Choi, Steven J. A. van der Werff, Robert R. J. M. Vermeiren, Julia Herzog, Lauren A. M. Lebois, Justin T. Baker, Elizabeth A. Olson, Thomas Straube, Mayuresh S. Korgaonkar, Elpiniki Andrew, Ye Zhu, Gen Li, Jonathan Ipser, Anna R. Hudson, Matthew Peverill, Kelly A. Sambrook, Evan Gordon, Lee Baugh, Gina L. Forster, Raluca M. Simons, Jeffrey S. Simons, Vincent Magnotta, Adi Maron-Katz, Stefan du Plessis, Seth G. Disner, Nicholas D. Davenport, Daniel W. Grupe, Jack B. Nitschke, Terri A. deRoon-Cassini, Jacklynn M. Fitzgerald, John H. Krystal, Ifat Levy, Miranda Olff, Dick J. Veltman, Li Wang 0033, Yuval Neria, Michael D. De Bellis, Tanja Jovanovic, Judith K. Daniels, Martha Shenton, Nic J. A. van der Wee, Christian Schmahl, Milissa L. Kaufman, Isabelle M. Rosso, Scott R. Sponheim, David Bernd Hofmann, Richard A. Bryant, Kelene A. Fercho, Dan J. Stein, Sven C. Mueller, Bobak Hosseini, K. Luan Phan, Katie A. McLaughlin, Richard J. Davidson, Christine L. Larson, Geoffrey May, Steven M. Nelson, Chadi G. Abdallah, Hassaan Gomaa, Amit Etkin, Zelekha A. Seedat, Ilan Harpaz-Rotem, Israel Liberzon, Theo G. M. van Erp, Yann Quidé, Xin Wang 0090, Paul M. Thompson, and Rajendra A. Morey

Published
2022
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