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  1. 1021
    por Smith, Emily R, Oakley, Erin, Grandner, Gargi Wable, Ferguson, Kacey, Farooq, Fouzia, Afshar, Yalda, Ahlberg, Mia, Ahmadzia, Homa, Akelo, Victor, Aldrovandi, Grace, Tippett Barr, Beth A, Bevilacqua, Elisa, Brandt, Justin S, Broutet, Nathalie, Fernández Buhigas, Irene, Carrillo, Jorge, Clifton, Rebecca, Conry, Jeanne, Cosmi, Erich, Crispi, Fatima, Crovetto, Francesca, Delgado-López, Camille, Divakar, Hema, Driscoll, Amanda J, Favre, Guillaume, Flaherman, Valerie J, Gale, Chris, Gil, Maria M, Gottlieb, Sami L, Gratacós, Eduard, Hernandez, Olivia, Jones, Stephanie, Kalafat, Erkan, Khagayi, Sammy, Knight, Marian, Kotloff, Karen, Lanzone, Antonio, Le Doare, Kirsty, Lees, Christoph, Litman, Ethan, Lokken, Erica M, Laurita Longo, Valentina, Madhi, Shabir A, Magee, Laura A, Martinez-Portilla, Raigam Jafet, McClure, Elizabeth M, Metz, Tori D, Miller, Emily S, Money, Deborah, Moungmaithong, Sakita, Mullins, Edward, Nachega, Jean B, Nunes, Marta C, Onyango, Dickens, Panchaud, Alice, Poon, Liona C, Raiten, Daniel, Regan, Lesley, Rukundo, Gordon, Sahota, Daljit, Sakowicz, Allie, Sanin-Blair, Jose, Söderling, Jonas, Stephansson, Olof, Temmerman, Marleen, Thorson, Anna, Tolosa, Jorge E, Townson, Julia, Valencia-Prado, Miguel, Visentin, Silvia, von Dadelszen, Peter, Adams Waldorf, Kristina, Whitehead, Clare, Yassa, Murat, Tielsch, Jim M
    Publicado 2023
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    Adverse maternal, fetal, and newborn outcomes among pregnant women with SARS-CoV-2 infection: an individual participant data meta-analysis
  2. 1022
    por Smith, Emily R., Oakley, Erin, Grandner, Gargi Wable, Rukundo, Gordon, Farooq, Fouzia, Ferguson, Kacey, Baumann, Sasha, Adams Waldorf, Kristina Maria, Afshar, Yalda, Ahlberg, Mia, Ahmadzia, Homa, Akelo, Victor, Aldrovandi, Grace, Bevilacqua, Elisa, Bracero, Nabal, Brandt, Justin S., Broutet, Natalie, Carrillo, Jorge, Conry, Jeanne, Cosmi, Erich, Crispi, Fatima, Crovetto, Francesca, del Mar Gil, Maria, Delgado-López, Camille, Divakar, Hema, Driscoll, Amanda J., Favre, Guillaume, Fernandez Buhigas, Irene, Flaherman, Valerie, Gale, Christopher, Godwin, Christine L., Gottlieb, Sami, Gratacós, Eduard, He, Siran, Hernandez, Olivia, Jones, Stephanie, Joshi, Sheetal, Kalafat, Erkan, Khagayi, Sammy, Knight, Marian, Kotloff, Karen L., Lanzone, Antonio, Laurita Longo, Valentina, Le Doare, Kirsty, Lees, Christoph, Litman, Ethan, Lokken, Erica M., Madhi, Shabir A., Magee, Laura A., Martinez-Portilla, Raigam Jafet, Metz, Torri D., Miller, Emily S., Money, Deborah, Moungmaithong, Sakita, Mullins, Edward, Nachega, Jean B., Nunes, Marta C., Onyango, Dickens, Panchaud, Alice, Poon, Liona C., Raiten, Daniel, Regan, Lesley, Sahota, Daljit, Sakowicz, Allie, Sanin-Blair, Jose, Stephansson, Olof, Temmerman, Marleen, Thorson, Anna, Thwin, Soe Soe, Tippett Barr, Beth A., Tolosa, Jorge E., Tug, Niyazi, Valencia-Prado, Miguel, Visentin, Silvia, von Dadelszen, Peter, Whitehead, Clare, Wood, Mollie, Yang, Huixia, Zavala, Rebecca, Tielsch, James M.
    Publicado 2023
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    Clinical risk factors of adverse outcomes among women with COVID-19 in the pregnancy and postpartum period: a sequential, prospective meta-analysis
  3. 1023
    por Whitcomb, David C., LaRusch, Jessica, Krasinskas, Alyssa M., Klei, Lambertus, Smith, Jill P., Brand, Randall E., Neoptolemos, John P., Lerch, Markus M., Tector, Matt, Sandhu, Bimaljit S., Guda, Nalini M., Orlichenko, Lidiya, Alkaade, Samer, Amann, Stephen T., Anderson, Michelle A., Baillie, John, Banks, Peter A., Conwell, Darwin, Coté, Gregory A., Cotton, Peter B., DiSario, James, Farrer, Lindsay A., Forsmark, Chris E., Johnstone, Marianne, Gardner, Timothy B., Gelrud, Andres, Greenhalf, William, Haines, Jonathan L., Hartman, Douglas J., Hawes, Robert A., Lawrence, Christopher, Lewis, Michele, Mayerle, Julia, Mayeux, Richard, Melhem, Nadine M., Money, Mary E., Muniraj, Thiruvengadam, Papachristou, Georgios I., Pericak-Vance, Margaret A., Romagnuolo, Joseph, Schellenberg, Gerard D., Sherman, Stuart, Simon, Peter, Singh, Vijay K., Slivka, Adam, Stolz, Donna, Sutton, Robert, Weiss, Frank Ulrich, Wilcox, C. Mel, Zarnescu, Narcis Octavian, Wisniewski, Stephen R., O'Connell, Michael R., Kienholz, Michelle L., Roeder, Kathryn, Barmada, M. Michael, Yadav, Dhiraj, Devlin, Bernie, Albert, Marilyn S., Albin, Roger L., Apostolova, Liana G., Arnold, Steven E., Baldwin, Clinton T., Barber, Robert, Barnes, Lisa L., Beach, Thomas G., Beecham, Gary W., Beekly, Duane, Bennett, David A., Bigio, Eileen H., Bird, Thomas D., Blacker, Deborah, Boxer, Adam, Burke, James R., Buxbaum, Joseph D., Cairns, Nigel J., Cantwell, Laura B., Cao, Chuanhai, Carney, Regina M., Carroll, Steven L., Chui, Helena C., Clark, David G., Cribbs, David H., Crocco, Elizabeth A., Cruchaga, Carlos, DeCarli, Charles, Demirci, F. Yesim, Dick, Malcolm, Dickson, Dennis W., Duara, Ranjan, Ertekin-Taner, Nilufer, Faber, Kelley M., Fallon, Kenneth B., Farlow, Martin R., Ferris, Steven, Foroud, Tatiana M., Frosch, Matthew P., Galasko, Douglas R., Ganguli, Mary, Gearing, Marla, Geschwind, Daniel H., Ghetti, Bernardino, Gilbert, John R., Gilman, Sid, Glass, Jonathan D., Goate, Alison M., Graff-Radford, Neill R., Green, Robert C., Growdon, John H., Hakonarson, Hakon, Hamilton-Nelson, Kara L., Hamilton, Ronald L., Harrell, Lindy E., Head, Elizabeth, Honig, Lawrence S., Hulette, Christine M., Hyman, Bradley T., Jicha, Gregory A., Jin, Lee-Way, Jun, Gyungah, Kamboh, M. Ilyas, Karydas, Anna, Kaye, Jeffrey A., Kim, Ronald, Koo, Edward H., Kowall, Neil W., Kramer, Joel H., Kramer, Patricia, Kukull, Walter A., LaFerla, Frank M., Lah, James J., Leverenz, James B., Levey, Allan I., Li, Ge, Lin, Chiao-Feng, Lieberman, Andrew P., Lopez, Oscar L., Lunetta, Kathryn L., Lyketsos, Constantine G., Mack, Wendy J., Marson, Daniel C., Martin, Eden R., Martiniuk, Frank, Mash, Deborah C., Masliah, Eliezer, McKee, Ann C., Mesulam, Marsel, Miller, Bruce L., Miller, Carol A., Miller, Joshua W., Montine, Thomas J., Morris, John C., Murrell, Jill R., Naj, Adam C., Olichney, John M., Parisi, Joseph E., Peskind, Elaine, Petersen, Ronald C., Pierce, Aimee, Poon, Wayne W., Potter, Huntington, Quinn, Joseph F., Raj, Ashok, Raskind, Murray, Reiman, Eric M., Reisberg, Barry, Reitz, Christiane, Ringman, John M., Roberson, Erik D., Rosen, Howard J., Rosenberg, Roger N., Sano, Mary, Saykin, Andrew J., Schneider, Julie A., Schneider, Lon S., Seeley, William W., Smith, Amanda G., Sonnen, Joshua A., Spina, Salvatore, Stern, Robert A., Tanzi, Rudolph E., Trojanowski, John Q., Troncoso, Juan C., Tsuang, Debby W., Valladares, Otto, Van Deerlin, Vivianna M., Van Eldik, Linda J., Vardarajan, Badri N., Vinters, Harry V., Vonsattel, Jean Paul, Wang, Li-San, Weintraub, Sandra, Welsh-Bohmer, Kathleen A., Williamson, Jennifer, Woltjer, Randall L., Wright, Clinton B., Younkin, Steven G., Yu, Chang-En, Yu, Lei
    Publicado 2012
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    Common genetic variants in the CLDN2 and PRSS1-PRSS2 loci alter risk for alcohol-related and sporadic pancreatitis
  4. 1024
    por Nizam, Ahmed Mehedi
    Publicado 2020
    “…Conventional algebraic estimate of the fiscal multipliers ignores the concept of velocity of money and mistakenly assumes that money changes hands an infinite number of times during a given year while we know money only has a finite velocity. …”
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    Some amendments to the algebraic representation and empirical estimation of the fiscal multipliers
  5. 1025
    “…This study addresses the questions: What is the WTP for sport and physical activity of participants in CBHEPA programs, expressed in WTP(money) and WTP(time)? Which factors predict WTP(money) and WTP(time)? …”
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    Predictors of willingness to pay for physical activity of socially vulnerable groups in community-based programs
  6. 1026
    “…The purpose of this study is to investigate how investor’s money attitudes shape their stock market participation (SMP) decisions. …”
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    How Investors Attitudes Shape Stock Market Participation in the Presence of Financial Self-Efficacy
  7. 1027
    por Lok, Iris, Dunn, Elizabeth W.
    Publicado 2022
    “…Spending money on others was also associated with greater happiness regardless of whether participants believed that they would be happier spending money on others. …”
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    Are the benefits of prosocial spending and buying time moderated by age, gender, or income?
  8. 1028
    por Ehnst, Dirk
    Publicado 2022
    “…Since many central banks already educate the public about the creation of modern money through bank lending, it would be most welcome if they would do the same for the creation of modern money through government spending. …”
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    Modern Monetary Theory: The Right Compass for Decision-Making
  9. 1029
    “…The first main theme emerged as a result of the respondents recurring reference to money as the reason to different actions: It is important to win money,’too little’ or ‘too much’ money is described as reason for gambling, athletes status is affected by money and sponsor money from the gambling companies are considered important. …”
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    Gambling at Work: A Qualitative Study of Swedish Elite Athletes, Coaches, and Managers
  10. 1030
    por Elias, Samir, Stock trader
    Publicado 2009
    Tabla de Contenidos: “…Introduction -- Learn from the past -- Generate 20% + cash return each year without selling your stocks -- Increase your profits on winning stocks by getting a premium to market price -- Average down without using out-of-pocket cash -- An extra peek -- Generate cash on stocks before buying them -- Time saving tips -- How to accurately time your moves for maximum cash -- Cash generation strategies -- Cash generation worksheet -- Use other people's money to generate thousands on stocks below $5 -- Squeeze thousands in short term cash by investing against the crowd -- Follow smart money on the road to explosive profits -- Do this every week and never lose money in the market -- Using option concepts in this book to cash in on special situations -- Profitable chart patterns -- Spotting sudden reversals -- Tricks of the trade -- Risk control and money management -- Thinking outside the box -- Epilogue.…”
    Libro
    Generate thousands in cash on your stocks before buying or selling them
  11. 1031
    “…Two items were merged to assess housing cost burden (categories: “no burden,” “no money for utilities,” “no money for rent,” and “no money for utilities or rent”). …”
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    Housing Cost Burden and Well-Being in Older Adults Moderated by Neighborhood Cohesion and Disorder
  12. 1032
    “…The most expensive horses sold as foals or yearlings ran fewer races but earned more prize money and prize money per start than less expensive horses. …”
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    Date of birth and purchase price as foals or yearlings are associated with Thoroughbred flat race performance in the United Kingdom and Ireland
  13. 1033
    “…Total money gambled and time spent on gambling were also assessed. …”
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    Online Gambling's Associations With Gambling Disorder and Related Problems in a Representative Sample of Young Swiss Men
  14. 1034
    por Frean, Marcus, Marsland, Stephen
    Publicado 2023
    “…Moreover, the most invasive and stable strategies belong to one family and ground the concept of value by incrementing one score at the cost of the other, thus closely resembling the token exchange that underlies money in everyday human transactions. The most successful strategy has the flavor of money except that agents without money can generate new score if they meet. …”
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    Score-mediated mutual consent and indirect reciprocity
  15. 1035
    por Sotkin, Joan
    Publicado 2009
    Libro
    Fitness financiero : nueve sencillos ejercicios para mejorar tu relación con el dinero
  16. 1036
    “…We found that most of the participants (89%) always chose to keep the money. Within the group of people who sometimes kept and sometimes donated the money (that is, Switchers), we find that people do not change their decision very often (cf. moral consistency). …”
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    Dynamics in charity donation decisions: Insights from a large longitudinal data set
  17. 1037
    “…Ninety-four participants were randomly assigned into four groups: base (no money incentive), positive reinforcement (presentation of money rewards), negative reinforcement (removal of money losses), and combined reinforcement (money rewards and removal of money losses) groups. …”
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    Emotional State and Feedback-Related Negativity Induced by Positive, Negative, and Combined Reinforcement
  18. 1038
    “…Worries about the introduction of cryptocurrency are directly related to a negative attitude to money, the value of self-confidence, age, and confidence in the financial system and government, and are inversely related to trust in people and money anxiety. …”
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    Social and Psychological Predictors of Youths’ Attitudes to Cryptocurrency
  19. 1039
    “…Strategies to limit expenditure included: restricting access to money; keeping track of money allocated to gambling activities; and avoiding certain types of gambling activities. …”
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    Gambling Self-Control Strategies: A Qualitative Analysis
  20. 1040
    “…Controls took the least money and did the most costly helping, while patients with LPE took the most money and did the least costly helping. …”
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    A Behavioral Measure of Costly Helping: Replicating and Extending the Association with Callous Unemotional Traits in Male Adolescents
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