Author
Zoi Manesi
Other affiliations: University of Amsterdam, International Business Broker's Association, Singapore Management University
Bio: Zoi Manesi is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Medicine & Prosocial behavior. The author has an hindex of 9, co-authored 14 publications receiving 2019 citations. Previous affiliations of Zoi Manesi include University of Amsterdam & International Business Broker's Association.
Papers
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University of California, Santa Barbara1, University of Texas at Austin2, Dresden University of Technology3, University of Wrocław4, University of Tartu5, Gulu University6, Middle East University7, Stockholm University8, University of the Punjab9, University of Nigeria, Nsukka10, Istanbul University11, Franklin & Marshall College12, Norwegian University of Science and Technology13, University of Algiers14, Australian National University15, Russian State University for the Humanities16, Russian Academy of Sciences17, İzmir University of Economics18, University of Social Sciences and Humanities19, Université catholique de Louvain20, Ankara University21, Pontifical Catholic University of Peru22, Cumhuriyet University23, University of the Republic24, ISCTE – University Institute of Lisbon25, The Chinese University of Hong Kong26, National Autonomous University of Mexico27, University of Pécs28, University of Constantine the Philosopher29, University of Maribor30, University of Zagreb31, University of Malaya32, Central University of Finance and Economics33, University of Crete34, University of Primorska35, Institute of Molecular and Cell Biology36, University of Amsterdam37, Catholic University of the Sacred Heart38, VU University Amsterdam39, University of Granada40, University of Delhi41, University of Havana42, Pontifical Catholic University of Rio de Janeiro43, University of Vienna44, Universiti Utara Malaysia45, Vilnius University46, University of British Columbia47, University of Sussex48, Romanian Academy49, Comenius University in Bratislava50, Slovak Academy of Sciences51, University of Monterrey52, SAS Institute53, DHA Suffa University54, Pontifical Catholic University of Chile55, South-West University "Neofit Rilski"56, University of São Paulo57, Kyung Hee University58, University of Ljubljana59
TL;DR: This work combines this large cross-cultural sample with agent-based models to compare eight hypothesized models of human mating markets and finds that this cross-culturally universal pattern of mate choice is most consistent with a Euclidean model of mate preference integration.
Abstract: Humans express a wide array of ideal mate preferences. Around the world, people desire romantic partners who are intelligent, healthy, kind, physically attractive, wealthy, and more. In order for these ideal preferences to guide the choice of actual romantic partners, human mating psychology must possess a means to integrate information across these many preference dimensions into summaries of the overall mate value of their potential mates. Here we explore the computational design of this mate preference integration process using a large sample of n = 14,487 people from 45 countries around the world. We combine this large cross-cultural sample with agent-based models to compare eight hypothesized models of human mating markets. Across cultures, people higher in mate value appear to experience greater power of choice on the mating market in that they set higher ideal standards, better fulfill their preferences in choice, and pair with higher mate value partners. Furthermore, we find that this cross-culturally universal pattern of mate choice is most consistent with a Euclidean model of mate preference integration.
1,827 citations
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University of California, Santa Barbara1, University of Texas at Austin2, Dresden University of Technology3, University of Wrocław4, Opole University5, University of Tartu6, Gulu University7, Middle East University8, Stockholm University9, University of the Punjab10, University of Nigeria, Nsukka11, Istanbul University12, Franklin & Marshall College13, Norwegian University of Science and Technology14, University of Algiers15, Australian National University16, Russian State University for the Humanities17, Russian Academy of Sciences18, İzmir University of Economics19, University of Social Sciences and Humanities20, Université catholique de Louvain21, Ankara University22, Pontifical Catholic University of Peru23, Cumhuriyet University24, University of the Republic25, ISCTE – University Institute of Lisbon26, The Chinese University of Hong Kong27, National Autonomous University of Mexico28, University of Pécs29, University of Maribor30, University of Zagreb31, University of Malaya32, Central University of Finance and Economics33, University of Crete34, University of Primorska35, University of Amsterdam36, Catholic University of the Sacred Heart37, VU University Amsterdam38, University of Granada39, University of Delhi40, University of Havana41, Pontifical Catholic University of Rio de Janeiro42, University of Vienna43, Universiti Utara Malaysia44, Vilnius University45, University of British Columbia46, Centre national de la recherche scientifique47, Romanian Academy48, Comenius University in Bratislava49, Slovak Academy of Sciences50, University of Monterrey51, DHA Suffa University52, Pontifical Catholic University of Chile53, South-West University "Neofit Rilski"54, University of São Paulo55, Kyung Hee University56, University of Ljubljana57
TL;DR: Using a new 45-country sample (N = 14,399), this work attempted to replicate classic studies and test both the evolutionary and biosocial role perspectives, finding neither pathogen prevalence nor gender equality robustly predicted sex differences or preferences across countries.
Abstract: Considerable research has examined human mate preferences across cultures, finding universal sex differences in preferences for attractiveness and resources as well as sources of systematic cultural variation. Two competing perspectives-an evolutionary psychological perspective and a biosocial role perspective-offer alternative explanations for these findings. However, the original data on which each perspective relies are decades old, and the literature is fraught with conflicting methods, analyses, results, and conclusions. Using a new 45-country sample (N = 14,399), we attempted to replicate classic studies and test both the evolutionary and biosocial role perspectives. Support for universal sex differences in preferences remains robust: Men, more than women, prefer attractive, young mates, and women, more than men, prefer older mates with financial prospects. Cross-culturally, both sexes have mates closer to their own ages as gender equality increases. Beyond age of partner, neither pathogen prevalence nor gender equality robustly predicted sex differences or preferences across countries.
129 citations
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University of Wrocław1, Macquarie University2, University of Tartu3, Gulu University4, Stockholm University5, International University, Cambodia6, University of the Punjab7, University of Texas at Austin8, University of Nigeria, Nsukka9, Istanbul University10, Franklin & Marshall College11, Norwegian University of Science and Technology12, University of Algiers13, Australian National University14, İzmir University of Economics15, University of Social Sciences and Humanities16, Université catholique de Louvain17, Ankara University18, University of California, Santa Barbara19, University of São Paulo20, Pontifical Catholic University of Peru21, ISCTE – University Institute of Lisbon22, University of Constantine the Philosopher23, University of Zagreb24, The Chinese University of Hong Kong25, University of Malaya26, Central University of Finance and Economics27, Palacký University, Olomouc28, University of Ljubljana29, Max Planck Society30, University of Niš31, University of Pécs32, Catholic University of the Sacred Heart33, VU University Amsterdam34, University of Granada35, University of Delhi36, University of Havana37, University of Maribor38, Pontifical Catholic University of Rio de Janeiro39, University of Vienna40, Dresden University of Technology41, Vilnius University42, University of British Columbia43, Comenius University in Bratislava44, Slovak Academy of Sciences45, University of Karachi46, University of Monterrey47, Aga Khan University Hospital48, DHA Suffa University49, Pontifical Catholic University of Chile50, Kyung Hee University51, Bahria University52
TL;DR: For instance, this article found that affective touch was most prevalent in relationships with partners and children, and its diversity was relatively higher in warmer, less conservative, and religious countries, and among younger, female, and liberal people.
Abstract: Interpersonal touch behavior differs across cultures, yet no study to date has systematically tested for cultural variation in affective touch, nor examined the factors that might account for this variability. Here, over 14,000 individuals from 45 countries were asked whether they embraced, stroked, kissed, or hugged their partner, friends, and youngest child during the week preceding the study. We then examined a range of hypothesized individual-level factors (sex, age, parasitic history, conservatism, religiosity, and preferred interpersonal distance) and cultural-level factors (regional temperature, parasite stress, regional conservatism, collectivism, and religiosity) in predicting these affective-touching behaviors. Our results indicate that affective touch was most prevalent in relationships with partners and children, and its diversity was relatively higher in warmer, less conservative, and religious countries, and among younger, female, and liberal people. This research allows for a broad and integrated view of the bases of cross-cultural variability in affective touch.
50 citations
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TL;DR: For instance, the authors found that the mere presence of eye images can promote prosocial behavior, which is known as the "eye images effect" and has been studied extensively in evolutionary psychology.
Abstract: Research from evolutionary psychology suggests that the mere presence of eye images can promote prosocial behavior. However, the “eye images effect” is a source of considerable debate, and findings...
49 citations
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TL;DR: In this paper, a multifaceted approach combined three potential predictors: prosocial traits (social value orientation and social mindfulness, or SVO and SoMi), socio-demographic variables, and minimal social cues (eye images).
32 citations
Cited by
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University of Düsseldorf1, University of Duisburg-Essen2, Harvard University3, University of Warsaw4, University of Melbourne5, St. Vincent's Institute of Medical Research6, Johns Hopkins University7, Swiss Institute of Bioinformatics8, The Turing Institute9, Western General Hospital10, University of British Columbia11, BC Cancer Agency12, ETH Zurich13, Leiden University Medical Center14, Delft University of Technology15, Broad Institute16, Georgia State University17, Karlsruhe Institute of Technology18, Heidelberg Institute for Theoretical Studies19, Centrum Wiskunde & Informatica20, Utrecht University21, University of Amsterdam22, Imperial College London23, Radboud University Nijmegen24, University Medical Center Groningen25, Wageningen University and Research Centre26, University of Connecticut27, University of Cambridge28, European Bioinformatics Institute29, Wellcome Trust Sanger Institute30, Max Planck Society31, Saarland University32, Zuse Institute Berlin33, German Cancer Research Center34, Leiden University35, I.M. Sechenov First Moscow State Medical University36, Princeton University37, Memorial Sloan Kettering Cancer Center38
TL;DR: This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years in single-cell data science.
Abstract: The recent boom in microfluidics and combinatorial indexing strategies, combined with low sequencing costs, has empowered single-cell sequencing technology. Thousands-or even millions-of cells analyzed in a single experiment amount to a data revolution in single-cell biology and pose unique data science problems. Here, we outline eleven challenges that will be central to bringing this emerging field of single-cell data science forward. For each challenge, we highlight motivating research questions, review prior work, and formulate open problems. This compendium is for established researchers, newcomers, and students alike, highlighting interesting and rewarding problems for the coming years.
677 citations
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TL;DR: In this paper, the current status of knowledge on atmospheric microplastics, the methods for sample collection, analysis and detection, and the recommendations for atmospheric micro-plastic sampling and measurement are reviewed.
539 citations
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471 citations