Search Results - "Dawson, G.J."

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  1. 1

    Satellite gravity – enhancements from new satellites and new altimeter technology by Green, C.M., Fletcher, K.M.U., Cheyney, S., Dawson, G.J., Campbell, S.J.

    Published in Geophysical Prospecting (01-07-2019)
    “…ABSTRACT This paper reviews the impacts of new satellite altimeter data sets and new technology on the production of satellite gravity. It considers the…”
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  2. 2

    The 8 billion milestone: Risk perceptions of global population growth among UK and US residents by Dawson, Ian G. J., Zhang, Danni

    Published in Risk analysis (01-08-2024)
    “…In November 2022, the global human population reached 8 billion and is projected to reach 10 billion by 2060. Theories, models, and evidence indicate that…”
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  3. 3

    Chinese public perceptions of food applications based on synthetic biology by Jin, Shan, Dawson, Ian G.J., Clark, Beth, Li, Wenjing, Frewer, Lynn J.

    Published in Food quality and preference (01-08-2023)
    “…•Chinese people have slightly positive attitudes towards synthetic biology.•An extension of “risk–benefit-acceptance” model better explains…”
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  4. 4

    Consumer responses to genetically modified food in China: The influence of existing general attitudes, affect and perceptions of risks and benefits by Jin, Shan, Li, Wenjing, Dawson, Ian G.J., Clark, Beth, Chen, Si, Frewer, Lynn J.

    Published in Food quality and preference (01-07-2022)
    “…•Benefit perceptions best predict Chinese consumers’ acceptance of GM foods.•General attitudes and affect cause cognitive bias during judgements of GM…”
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  5. 5

    A chemiluminescent, magnetic particle-based immunoassay for the detection of hepatitis C virus core antigen in human serum or plasma by Leary, T.P., Gutierrez, R.A., Muerhoff, A.S., Birkenmeyer, L.G., Desai, S.M., Dawson, G.J.

    Published in Journal of medical virology (01-11-2006)
    “…Hepatitis C virus (HCV) exposure in blood donors is determined serologically by the detection of anti‐HCV antibodies in serum or plasma. However, a “window”…”
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  6. 6

    Predicting the Validity of Expert Judgments in Assessing the Impact of Risk Mitigation Through Failure Prevention and Correction by Brito, Mario P., Dawson, Ian G. J.

    Published in Risk analysis (01-10-2020)
    “…Operational risk management of autonomous vehicles in extreme environments is heavily dependent on expert judgments and, in particular, judgments of the…”
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  7. 7

    How flood preparedness among Jordanian citizens is influenced by self-efficacy, sense of community, experience, communication, trust and training by Gammoh, Leen Adel, Dawson, Ian G.J., Katsikopoulos, Konstantinos

    “…Levels of disaster risk preparedness in developing countries are often inadequate and, consequently, these regions are often severely affected by natural…”
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  8. 8

    The role of perceived risk on dishonest decision making during a pandemic by Dawson, Ian G J, Hanoch, Yaniv M

    Published in Risk analysis (12-12-2022)
    “…The COVID-19 pandemic presented serious risks to the health and financial wellbeing of millions of people across the world. While many individuals adapted to…”
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  9. 9

    Anthropogenic risk creation: understanding and addressing the challenges via a conceptual model by Dawson, Ian G. J., Hanoch, Yaniv

    Published in Journal of risk research (01-02-2022)
    “…Humans create many risks, ranging from those that are relatively negligible and easily managed to those that are far less wieldy and pose a threat to the…”
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  10. 10

    Assessing the Effects of Information About Global Population Growth on Risk Perceptions and Support for Mitigation and Prevention Strategies by Dawson, Ian G. J.

    Published in Risk analysis (01-10-2018)
    “…The human population is forecast to increase by 3–4 billion people during this century and many scientists have expressed concerns that this could increase the…”
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  11. 11

    Taking responsibility: self-attribution for risk creation and its influence on the motivation to engage in risk management behaviors by Dawson, Ian G. J.

    Published in Journal of risk research (01-11-2020)
    “…Many risks (eg, climate change, poor health, plastic pollution) can be the result of human behaviors. Although anthropogenic risk creation is rarely…”
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  12. 12

    Competition and moral behavior: A meta-analysis of forty-five crowd-sourced experimental designs by Huber, Christoph, Dreber, Anna, Huber, Jürgen, Johannesson, Magnus, Kirchler, Michael, Weitzel, Utz, Abellán, Miguel, Adayeva, Xeniya, Ay, Fehime Ceren, Barron, Kai, Berry, Zachariah, Bönte, Werner, Brütt, Katharina, Bulutay, Muhammed, Campos-Mercade, Pol, Cardella, Eric, Claassen, Maria Almudena, Cornelissen, Gert, Dawson, Ian G. J, Delnoij, Joyce, Demiral, Elif E, Dimant, Eugen, Doerflinger, Johannes Theodor, Dold, Malte, Emery, Cécile, Fiala, Lenka, Fiedler, Susann, Freddi, Eleonora, Fries, Tilman, Gasiorowska, Agata, Glogowsky, Ulrich, Gorny, Paul M, Gretton, Jeremy David, Grohmann, Antonia, Hafenbrädl, Sebastian, Handgraaf, Michel, Hanoch, Yaniv, Hart, Einav, Hennig, Max, Hudja, Stanton, Hütter, Mandy, Hyndman, Kyle, Ioannidis, Konstantinos, Isler, Ozan, Jeworrek, Sabrina, Jolles, Daniel, Juanchich, Marie, KC, Raghabendra Pratap, Khadjavi, Menusch, Kugler, Tamar, Li, Shuwen, Lucas, Brian, Mak, Vincent, Mechtel, Mario, Merkle, Christoph, Meyers, Ethan Andrew, Mollerstrom, Johanna, Nesterov, Alexander, Neyse, Levent, Nieken, Petra, Nussberger, Anne-Marie, Palumbo, Helena, Peters, Kim, Pirrone, Angelo, Qin, Xiangdong, Rahal, Rima Maria, Rau, Holger, Rincke, Johannes, Ronzani, Piero, Roth, Yefim, Saral, Ali Seyhun, Schmitz, Jan, Schneider, Florian, Schram, Arthur, Schudy, Simeon, Schweitzer, Maurice E, Schwieren, Christiane, Scopelliti, Irene, Sirota, Miroslav, Sonnemans, Joep, Soraperra, Ivan, Spantig, Lisa, Steimanis, Ivo, Steinmetz, Janina, Suetens, Sigrid, Theodoropoulou, Andriana, Urbig, Diemo, Vorlaufer, Tobias, Waibel, Joschka, Woods, Daniel, Yakobi, Ofir, Yilmaz, Onurcan, Zaleskiewicz, Tomasz, Zeisberger, Stefan, Holzmeister, Felix

    “…Does competition affect moral behavior? This fundamental question has been debated among leading scholars for centuries, and more recently, it has been tested…”
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  13. 13

    Examining the generalizability of research findings from archival data by Delios, Andrew, Clemente, Elena Giulia, Wu, Tao, Tan, Hongbin, Wang, Yong, Gordon, Michael, Viganola, Domenico, Chen, Zhaowei, Dreber, Anna, Johannesson, Magnus, Pfeiffer, Thomas, Uhlmann, Eric Luis, Abd Al-Aziz, Ahmad M., Abraham, Ajay T., Trojan, Jais, Adamkovic, Matus, Agadullina, Elena, Ahn, Jungsoo, Akinci, Cinla, Akkas, Handan, Albrecht, David, Alzahawi, Shilaan, Amaral-Baptista, Marcio, Anand, Rahul, Ang, Kevin Francis U., Anseel, Frederik, Aruta, John Jamir Benzon R., Ashraf, Mujeeba, Baker, Bradley J., Bao, Xueqi, Baskin, Ernest, Bathula, Hanoku, Bauman, Christopher W., Bavolar, Jozef, Bayraktar, Secil, Beckman, Stephanie E., Benjamin, Aaron S., Brown, Stephanie E. V., Buckley, Jeffrey, Buitrago R., Ricardo E., Bution, Jefferson L., Byrd, Nick, Carrera, Clara, Caruso, Eugene M., Chen, Minxia, Chen, Lin, Cicerali, Eyyub Ensari, Cohen, Eric D., Crede, Marcus, Cummins, Jamie, Dahlander, Linus, Daniels, David P., Daskalo, Lea Liat, Dawson, Ian G. J., Day, Martin V., Dietl, Erik, Domurat, Artur, Dsilva, Jacinta, Plessis, Christilene du, Dubrov, Dmitrii I., Edris, Sarah, Elbaek, Christian T., Elsherif, Mahmoud M., Evans, Thomas R., Fellenz, Martin R., Fiedler, Susann, Firat, Mustafa, Freitag, Raquel, Furrer, Rémy A., Gautam, Richa, Gautam, Dhruba Kumar, Gearin, Brian, Gerschewski, Stephan, Ghasemi, Omid, Ghasemi, Zohreh, Ghosh, Anindya, Giani, Cinzia, Goldberg, Matthew H., Goswami, Manisha, Graf-Vlachy, Lorenz, Griffith, Jennifer A., Grigoryev, Dmitry, Gu, Jingyang, H, Rajeshwari, Hadida, Allegre L., Hafenbrack, Andrew C., Hafenbrädl, Sebastian, Hammersley, Jonathan J., Han, Hyemin, Harman, Jason L., Hartanto, Andree, Henkel, Alexander P., Ho, Yen-Chen, Holding, Benjamin C., Holzmeister, Felix, Horobet, Alexandra, Huang, Tina S.-T., Huang, Yiming, Huntsinger, Jeffrey R., Idzikowska, Katarzyna

    “…This initiative examined systematically the extent to which a large set of archival research findings generalizes across contexts. We repeated the key analyses…”
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  14. 14

    Putting knowledge into practice: Does information on adverse drug interactions influence people's dosing behaviour? by Dohle, Simone, Dawson, Ian G. J.

    Published in British journal of health psychology (01-05-2017)
    “…Objective Adverse drug events relating to drug–drug interactions are a common cause of patient harm. Central to avoiding this harm is the patients’…”
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  15. 15

    Towards an understanding of adult judgments of synergistic health benefits by Dawson, Ian G. J., Dohle, Simone

    Published in British journal of health psychology (01-02-2016)
    “…Objective Numerous scientific studies show that certain combinations of dietary and/or lifestyle factors produce health benefits which are greater than the sum…”
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  16. 16

    Does Size Matter? A Study of Risk Perceptions of Global Population Growth by Dawson, Ian G. J., Johnson, Johnnie E. V.

    Published in Risk analysis (01-01-2017)
    “…The global human population now exceeds 7 billion and is projected to reach 10 billion around 2060. While population growth has been associated with certain…”
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  17. 17

    One Too Many? Understanding the Influence of Risk Factor Quantity on Perceptions of Risk by Dawson, Ian G. J., Johnson, Johnnie E. V., Luke, Michelle A.

    Published in Risk analysis (01-06-2017)
    “…Forming a subjective risk judgment in circumstances that feature multiple risk factors is a common, yet complex task. One would expect variations in the number…”
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  18. 18

    Growing Pains: How Risk Perception and Risk Communication Research Can Help to Manage the Challenges of Global Population Growth by Dawson, Ian G. J., Johnson, Johnnie E. V.

    Published in Risk analysis (01-08-2014)
    “…In 2011, the global human population reached 7 billion and medium variant projections indicate that it will exceed 9 billion before 2045. Theoretical and…”
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  19. 19

    Using risk model judgements to better understand perceptions of synergistic risks by Dawson, Ian G. J., Johnson, Johnnie E. V., Luke, Michelle A.

    Published in The British journal of psychology (01-11-2014)
    “…Numerous scientific studies show that risk factors can interact to synergistically increase the likelihood of certain adverse and life‐threatening outcomes…”
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  20. 20

    Helping Individuals to Understand Synergistic Risks: An Assessment of Message Contents Depicting Mechanistic and Probabilistic Concepts by Dawson, Ian G. J., Johnson, Johnnie E. V., Luke, Michelle A.

    Published in Risk analysis (01-05-2013)
    “…Accumulating evidence shows that certain hazard combinations interact to present synergistic risks. However, little is known about the most effective ways of…”
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