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İzzet Duyar

Bio: İzzet Duyar is an academic researcher from Istanbul University. The author has contributed to research in topics: Forensic anthropology & Population. The author has an hindex of 14, co-authored 61 publications receiving 2704 citations. Previous affiliations of İzzet Duyar include Cumhuriyet University & Ankara University.


Papers
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Journal ArticleDOI
Daniel Conroy-Beam1, David M. Buss2, Kelly Asao2, Agnieszka Sorokowska3, Agnieszka Sorokowska4, Piotr Sorokowski4, Toivo Aavik5, Grace Akello6, Mohammad Madallh Alhabahba7, Charlotte Alm8, Naumana Amjad9, Afifa Anjum9, Chiemezie S. Atama10, Derya Atamtürk Duyar11, Richard Ayebare, Carlota Batres12, Mons Bendixen13, Aicha Bensafia14, Boris Bizumic15, Mahmoud Boussena14, Marina Butovskaya16, Marina Butovskaya17, Seda Can18, Katarzyna Cantarero19, Antonin Carrier20, Hakan Cetinkaya21, Ilona Croy3, Rosa María Cueto22, Marcin Czub4, Daria Dronova16, Seda Dural18, İzzet Duyar11, Berna Ertuğrul23, Agustín Espinosa22, Ignacio Estevan24, Carla Sofia Esteves25, Luxi Fang26, Tomasz Frackowiak4, Jorge Contreras Garduño27, Karina Ugalde González, Farida Guemaz, Petra Gyuris28, Mária Halamová29, Iskra Herak20, Marina Horvat30, Ivana Hromatko31, Chin Ming Hui26, Jas Laile Suzana Binti Jaafar32, Feng Jiang33, Konstantinos Kafetsios34, Tina Kavčič35, Leif Edward Ottesen Kennair13, Nicolas Kervyn20, Truong Thi Khanh Ha19, Imran Ahmed Khilji36, Nils C. Köbis37, Hoang Moc Lan19, András Láng28, Georgina R. Lennard15, Ernesto León22, Torun Lindholm8, Trinh Thi Linh19, Giulia Lopez38, Nguyen Van Luot19, Alvaro Mailhos24, Zoi Manesi39, Rocio Martinez40, Sarah L. McKerchar15, Norbert Meskó28, Girishwar Misra41, Conal Monaghan15, Emanuel C. Mora42, Alba Moya-Garófano40, Bojan Musil30, Jean Carlos Natividade43, Agnieszka Niemczyk4, George Nizharadze, Elisabeth Oberzaucher44, Anna Oleszkiewicz3, Anna Oleszkiewicz4, Mohd Sofian Omar-Fauzee45, Ike E. Onyishi10, Barış Özener11, Ariela Francesca Pagani38, Vilmante Pakalniskiene46, Miriam Parise38, Farid Pazhoohi47, Annette Pisanski42, Katarzyna Pisanski48, Katarzyna Pisanski4, Edna Lúcia Tinoco Ponciano, Camelia Popa49, Pavol Prokop50, Pavol Prokop51, Muhammad Rizwan, Mario Sainz52, Svjetlana Salkičević31, Ruta Sargautyte46, Ivan Sarmány-Schuller53, Susanne Schmehl44, Shivantika Sharad41, Razi Sultan Siddiqui54, Franco Simonetti55, Stanislava Stoyanova56, Meri Tadinac31, Marco Antonio Correa Varella57, Christin-Melanie Vauclair25, Luis Diego Vega, Dwi Ajeng Widarini, Gyesook Yoo58, Marta Zaťková29, Maja Zupančič59 
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 Academy of Sciences16, Russian State University for the Humanities17, 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

Journal ArticleDOI
TL;DR: When estimating height based on tibia length, the individual's general stature category should be taken into consideration, and group-specific formulae should be used for short and tall subjects.
Abstract: Long bone length is one of the best-known indicators of human stature. Although the long bone length/height ratio differs in tall and short individuals, no detailed study has investigated whether specific formulae should be used to calculate height in different stature groups. This study proposes a new height estimation method. Body height and tibia length were measured in 121 male subjects aged 18.0-34.3 years. Three subgroups were established according to body height (short, medium, or tall), using the 15th and 85th percentiles as cutoff levels. The general formula and a group-specific regression formula were used to estimate height in each subgroup. A control group with the same properties as the study group was analyzed in the same manner. Particularly with "short" and "tall" subjects, the difference between true height and the height predicted by the group-specific formulae was smaller than the difference observed when the general formula was used. These discrepancies were statistically significant. When estimating height based on tibia length, the individual's general stature category should be taken into consideration, and group-specific formulae should be used for short and tall subjects.

183 citations

Journal ArticleDOI
Kathryn V. Walter1, Daniel Conroy-Beam1, David M. Buss2, Kelly Asao2, Agnieszka Sorokowska3, Agnieszka Sorokowska4, Piotr Sorokowski5, Toivo Aavik6, Grace Akello7, Mohammad Madallh Alhabahba8, Charlotte Alm9, Naumana Amjad10, Afifa Anjum10, Chiemezie S. Atama11, Derya Atamtürk Duyar12, Richard Ayebare, Carlota Batres13, Mons Bendixen14, Aicha Bensafia15, Boris Bizumic16, Mahmoud Boussena15, Marina Butovskaya17, Marina Butovskaya18, Seda Can19, Katarzyna Cantarero20, Antonin Carrier21, Hakan Cetinkaya22, Ilona Croy4, Rosa María Cueto23, Marcin Czub3, Daria Dronova17, Seda Dural19, İzzet Duyar12, Berna Ertuğrul24, Agustín Espinosa23, Ignacio Estevan25, Carla Sofia Esteves26, Luxi Fang27, Tomasz Frackowiak3, Jorge Contreras Garduño28, Karina Ugalde González, Farida Guemaz, Petra Gyuris29, Mária Halamová, Iskra Herak21, Marina Horvat30, Ivana Hromatko31, Chin Ming Hui27, Jas Laile Suzana Binti Jaafar32, Feng Jiang33, Konstantinos Kafetsios34, Tina Kavčič35, Leif Edward Ottesen Kennair14, Nicolas Kervyn21, Truong Thi Khanh Ha20, Imran Ahmed Khilji, Nils C. Köbis36, Hoang Moc Lan20, András Láng29, Georgina R. Lennard16, Ernesto León23, Torun Lindholm9, Trinh Thi Linh20, Giulia Lopez37, Nguyen Van Luot20, Alvaro Mailhos25, Zoi Manesi38, Rocio Martinez39, Sarah L. McKerchar16, Norbert Meskó29, Girishwar Misra40, Conal Monaghan16, Emanuel C. Mora41, Alba Moya-Garófano39, Bojan Musil30, Jean Carlos Natividade42, Agnieszka Niemczyk3, George Nizharadze, Elisabeth Oberzaucher43, Anna Oleszkiewicz3, Anna Oleszkiewicz4, Mohd Sofian Omar-Fauzee44, Ike E. Onyishi11, Barış Özener12, Ariela Francesca Pagani37, Vilmante Pakalniskiene45, Miriam Parise37, Farid Pazhoohi46, Annette Pisanski41, Katarzyna Pisanski3, Katarzyna Pisanski47, Edna Lúcia Tinoco Ponciano, Camelia Popa48, Pavol Prokop49, Pavol Prokop50, Muhammad Rizwan, Mario Sainz51, Svjetlana Salkičević31, Ruta Sargautyte45, Ivan Sarmány-Schuller49, Susanne Schmehl43, Shivantika Sharad40, Razi Sultan Siddiqui52, Franco Simonetti53, Stanislava Stoyanova54, Meri Tadinac31, Marco Antonio Correa Varella55, Christin-Melanie Vauclair26, Luis Diego Vega, Dwi Ajeng Widarini, Gyesook Yoo56, Marta Zat’ková, Maja Zupančič57 
University of California, Santa Barbara1, University of Texas at Austin2, University of Wrocław3, Dresden University of Technology4, 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 Academy of Sciences17, Russian State University for the Humanities18, 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, Slovak Academy of Sciences49, Comenius University in Bratislava50, 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

Journal ArticleDOI
TL;DR: The dimensions of sacral and coccygeal vertebrae could be used for stature estimation when long bones are not available and performed somewhat better than ones based on foot and head variables, but worse than those based on long-bone length.
Abstract: This study is to evaluate whether it is possible to predict living stature from sacral and coccygeal vertebral dimensions. Individual vertebral body heights, sacral height (SH), and sacrococcygeal height (SCH) were recorded from the magnetic resonance images of 42 adult males. Sum of the heights of five sacral vertebrae (sigmaS), the first four coccygeal vertebrae (sigmaC), and the total height of the sacral and the first four coccygeal vertebrae together (sigmaSC) were also recorded. Linear regression equations for stature estimation were produced using the above mentioned variables. The regression equations were constructed and tested by using jack-knife procedure. Statistical analyses indicated that the combined variables (SH, SCH, sigmaS, sigmaC, sigmaSC) were more accurate predictors of stature than the heights of individual vertebrae. The results of the study pointed out that the equations derived from sacrococcygeal dimensions perform somewhat better than ones based on foot and head variables, but worse than those based on long-bone length. As a conclusion, the dimensions of sacral and coccygeal vertebrae could be used for stature estimation when long bones are not available.

77 citations

Journal ArticleDOI
TL;DR: These methods are still far from reflecting a reliable caries frequency and the application of a proportional correction factor--as a technique newly introduced here--corrects the deviation caused by postmortem tooth loss and achieves more realistic results.
Abstract: It is a fact that researchers make use of various calibration methods for calculating and correcting dental caries frequency. The lack of standardization and accuracy of such methods has made it difficult for the researchers to draw reliable and differentiated conclusions from caries frequencies. Besides, the number of studies on how far the calculation methods reflect the "real" caries frequency is very limited. In this study, various methods for calculating caries frequency in skeletal samples are discussed and a new calculation method is proposed for estimating "real" caries frequency. The Hardwick's correction, which is one of the methods discussed in this study, is not successful in estimating "real" caries frequency as it proposes standard values for different life styles and dietary habits. The decayed and missing index is also considered inefficient as it assumes that all antemortem tooth loss is due to caries. The caries correction factor, proposed by Lukacs, achieves more successful results by considering factors other than caries in antemortem tooth loss, but because it does not differentiate between the anterior and posterior tooth groups during calculation, the results to be obtained therefrom may deviate from actual figures. In order to correct any such deviation, the caries correction factor must be applied separately for the anterior and posterior teeth groups since the resistance of each group to cariogenic factors is different. All the methods outlined above do not consider the effects of postmortem tooth loss on caries frequency. As a result, these methods are still far from reflecting a reliable caries frequency. The application of a proportional correction factor--as a technique newly introduced here--corrects the deviation caused by postmortem tooth loss and achieves more realistic results.

75 citations


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TL;DR: For the next few weeks the course is going to be exploring a field that’s actually older than classical population genetics, although the approach it’ll be taking to it involves the use of population genetic machinery.
Abstract: So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

9,847 citations

Journal Article

1,091 citations

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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

Journal ArticleDOI
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

Journal ArticleDOI
20 Sep 2007-Nature
TL;DR: Newly excavated postcranial material from Dmanisi comprising a partial skeleton of an adolescent individual, associated with skull D2700/D2735, and the remains from three adult individuals shows that the postc Cranial anatomy of the D manisi hominins has a surprising mosaic of primitive and derived features.
Abstract: The Plio-Pleistocene site of Dmanisi, Georgia, has yielded a rich fossil and archaeological record documenting an early presence of the genus Homo outside Africa. Although the craniomandibular morphology of early Homo is well known as a result of finds from Dmanisi and African localities, data about its postcranial morphology are still relatively scarce. Here we describe newly excavated postcranial material from Dmanisi comprising a partial skeleton of an adolescent individual, associated with skull D2700/D2735, and the remains from three adult individuals. This material shows that the postcranial anatomy of the Dmanisi hominins has a surprising mosaic of primitive and derived features. The primitive features include a small body size, a low encephalization quotient and absence of humeral torsion; the derived features include modern-human-like body proportions and lower limb morphology indicative of the capability for long-distance travel. Thus, the earliest known hominins to have lived outside of Africa in the temperate zones of Eurasia did not yet display the full set of derived skeletal features.

523 citations