Relevant bibliographies by topics / Ancient Population

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Ancient Population'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Ancient Population"

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Özer, İsmail, and Kazumichi Katayama. "Sex determination using the femur in an ancient Anatolian population." Anthropologischer Anzeiger 64, no. 4 (December 22, 2006): 389–98. http://dx.doi.org/10.1127/anthranz/64/2006/389.

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Esposito, Umberto, Ranajit Das, Syakir Syed, Mehdi Pirooznia, and Eran Elhaik. "Ancient Ancestry Informative Markers for Identifying Fine-Scale Ancient Population Structure in Eurasians." Genes 9, no. 12 (December 12, 2018): 625. http://dx.doi.org/10.3390/genes9120625.

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The rapid accumulation of ancient human genomes from various areas and time periods potentially enables the expansion of studies of biodiversity, biogeography, forensics, population history, and epidemiology into past populations. However, most ancient DNA (aDNA) data were generated through microarrays designed for modern-day populations, which are known to misrepresent the population structure. Past studies addressed these problems by using ancestry informative markers (AIMs). It is, thereby, unclear whether AIMs derived from contemporary human genomes can capture ancient population structures, and whether AIM-finding methods are applicable to aDNA, provided that the high missingness rates in ancient—and oftentimes haploid—DNA can also distort the population structure. Here, we define ancient AIMs (aAIMs) and develop a framework to evaluate established and novel AIM-finding methods in identifying the most informative markers. We show that aAIMs identified by a novel principal component analysis (PCA)-based method outperform all of the competing methods in classifying ancient individuals into populations and identifying admixed individuals. In some cases, predictions made using the aAIMs were more accurate than those made with a complete marker set. We discuss the features of the ancient Eurasian population structure and strategies to identify aAIMs. This work informs the design of single nucleotide polymorphism (SNP) microarrays and the interpretation of aDNA results, which enables a population-wide testing of primordialist theories.
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Storey, Glenn R. "The population of ancient Rome." Antiquity 71, no. 274 (December 1997): 966–78. http://dx.doi.org/10.1017/s0003598x00085859.

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What was the population of imperial Rome? City blocks in Pompeii and Ostia are sufficiently well explored that a fair estimate of population density can now be arrived at. That peoples the city of ancient Rome with roughly 450,000 inhabitants, within the known population and density range of pre-industrial and modern urban centres.
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Gaston, Anthony J. "Population Parameters of the Ancient Murrelet." Condor 92, no. 4 (November 1990): 998. http://dx.doi.org/10.2307/1368736.

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Buck, R. J., and John M. Fossey. "Topography and Population of Ancient Boiotia." Phoenix 47, no. 2 (1993): 165. http://dx.doi.org/10.2307/1088587.

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Dyer, Christopher, and J. C. Russell. "Late Ancient and Medieval Population Control." Economic History Review 39, no. 1 (February 1986): 161. http://dx.doi.org/10.2307/2596143.

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Garr, W. Randall. "A Population Estimate of Ancient Ugarit." Bulletin of the American Schools of Oriental Research 266 (May 1987): 31–43. http://dx.doi.org/10.2307/1356929.

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Relethford, John H. "Mitochondrial DNA and ancient population growth." American Journal of Physical Anthropology 105, no. 1 (January 1998): 1–7. http://dx.doi.org/10.1002/(sici)1096-8644(199801)105:1<1::aid-ajpa1>3.0.co;2-0.

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D.V., Nesheva. "Aspects of Ancient Mitochondrial DNA Analysis in Different Populations for Understanding Human Evolution." Balkan Journal of Medical Genetics 17, no. 1 (June 1, 2014): 5–14. http://dx.doi.org/10.2478/bjmg-2014-0019.

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Abstract The evolution of modern humans is a long and difficult process which started from their first appearance and continues to the present day. The study of the genetic origin of populations can help to determine population kinship and to better understand the gradual changes of the gene pool in space and time. Mitochondrial DNA (mtDNA) is a proper tool for the determination of the origin of populations due to its high evolutionary importance. Ancient mitochondrial DNA retrieved from museum specimens, archaeological finds and fossil remains can provide direct evidence for population origins and migration processes. Despite the problems with contaminations and authenticity of ancient mitochondrial DNA, there is a developed set of criteria and platforms for obtaining authentic ancient DNA. During the last two decades, the application of different methods and techniques for analysis of ancient mitochondrial DNA gave promising results. Still, the literature is relatively poor with information for the origin of human populations. Using comprehensive phylogeographic and population analyses we can observe the development and formation of the contemporary populations. The aim of this study was to shed light on human migratory processes and the formation of populations based on available ancient mtDNA data.
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Vicente, Mário, and Carina M. Schlebusch. "African population history: an ancient DNA perspective." Current Opinion in Genetics & Development 62 (June 2020): 8–15. http://dx.doi.org/10.1016/j.gde.2020.05.008.

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Dissertations / Theses on the topic "Ancient Population"

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Brunel, Samantha. "Paleogenomics of human population dynamics on the French territory between 7000 and 2000 before present." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCC282.

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Ces derniers 10000 ans en Eurasie occidentale ont été marqués par des transitions culturelles qui ont profondément transformé les sociétés humaines : l’apparition et la diffusion du Néolithique, de l’Âge du Bronze et de l’Âge du Fer. La paléogénomique, en analysant les génomes anciens, s’est attelée à en décrire les processus démographiques sous-jacents dans diverses parties du continent. En France cependant, la fin de la Préhistoire est seulement connue par le biais de l’archéologie, et n’a pas encore été explorée par la génétique à l’échelle du territoire. Nous avons produit un large jeu de données comprenant les génomes mitochondriaux, marqueurs du chromosome Y et génotypes d’une sélection de loci nucléaires d’intérêt via une procédure d’enrichissement pour 193 individus datant du Mésolithique, Néolithique, Âge du Bronze et Âge du Fer à travers le territoire de la France actuelle. Nous avons également généré les génomes à faible couverture de 58 individus répartis sur les mêmes périodes et recouvrant partiellement ce panel. L’intégralité de ces résultats offre, pour la première fois, un aperçu des dynamiques des lignées maternelles et paternelles ainsi que du génome nucléaire sur une période recouvrant 5000 ans. Que ce soient les lignées parentales ou le génome, différentes dynamiques apparaissent entre le nord et le sud de la France durant le Néolithique, avec un degré variable d’incorporation des populations de chasseurs-cueilleurs autochtones dans les communautés de fermiers. Ils mettent également en évidence, peu avant le début de l’Âge du Bronze, un flux de gènes dominé par des hommes dont la signature génétique des bergers de la Steppe Pontique, une signature qui ensuite persiste durant l’Âge du Fer, alors que la population montre peu de différentiation à l’échelle du territoire français. Certains marqueurs phénotypiques observés au Néolithique arborent une fréquence proche de celle observée dans la population européenne actuelle, indiquant des épisodes de sélection positive pré-datant le Néolithique, tandis que d’autres montrent des fréquences différentes, signe d’une sélection en cours sur ces loci. Cette étude accroit notre compréhension de relations entre les différentes populations de la fin de la Préhistoire, à l’échelle de la France et de l’Europe
The last 10,000 years in Western Eurasia were marked by cultural transitions that profoundly transformed human societies: the advent of the Neolithic, the Bronze Age and the Iron Age. Paleogenomics, the analysis of ancient genomes, started to address the underlying demographic processes in various parts of the continent. In France, however, Late Prehistory is only known from the rich archaeological records and not yet explored through genetics at a territory-wide scale. We generated a large dataset comprising the complete mitochondrial genomes, Y chromosome markers and genotypes on a number of nuclear loci of interest obtained through a DNA enrichment approach of 193 Mesolithic, Neolithic, Bronze Age and Iron Age individuals sampled across the territory of present-day France. It was complemented with the low-coverage genomes of 58 individuals partially overlapping this dataset. This panel provides, for the first time, a high-resolution 5,000-year transect of the dynamics of maternal and paternal lineages in France as well as of autosomal genotypes. Both parental lineages and genomic data revealed different dynamics in the North and the South of the French territory during the Neolithic, with varying degrees of incorporation of autochthonous hunter-gatherers lineages into farming communities. They also revealed a mostly male-driven gene flow from individuals deriving part of their ancestry from the Pontic Steppe at the onset of the Bronze Age, a signature that then persisted through the Iron Age. The various nuclear phenotypic markers we studied evolved differently. While some harbor present-day European frequencies already at the Neolithic epoch indicating ancient episodes of positive selection of these specific traits, others show different evolutionary stages throughout the Neolithic and the Bronze Age allowing us the establish more clearly the origin and evolution of the phenotypic traits that characterize the present-day European population. This study further expands our understanding of the relationship between populations during late Prehistory in France and across Europe
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White, Adam J. "Fecal Stanols as Indicators of Ancient Population Change." Thesis, California State University, Long Beach, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10690842.

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Fecal stanol analysis is an emergent geoarchaeological method that provides a proxy of human population change within a watershed. We provide an overview of the method, summarizing previous research and biochemical, geological, and archaeological considerations necessary for the method’s success. We apply the method on cores from lake sediments near Cahokia, Illinois, the largest and most well-studied prehistoric mound center in North America. We find fecal stanol data closely track independently established population reconstructions from multiple sources, confirming the utility of the method and demonstrating its viability in warm climates. We compare the Horseshoe Lake fecal stanol record with paleoenvironmental data from this study and others to evaluate the role of flooding, droughts, and environmental degradation in Cahokia’s decline. We find Mississippi River flooding and warm season droughts occurred shortly after Cahokia’s population maximum, but we find no conclusive evidence of prehistoric environmental degradation in the watershed.

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Bailey, Jillian F. "Analysis of population structure using ancient and modern mitochondrial DNA." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284410.

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Skoglund, Pontus. "Reconstructing the Human Past using Ancient and Modern Genomes." Doctoral thesis, Uppsala universitet, Evolutionsbiologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-206787.

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The study of DNA variation is one of the most promising avenues for learning about the evolutionary and historical past of humans and other species. However, the difficulty associated with obtaining DNA directly from ancient remains have for long kept genomic studies of population history trapped in time; confined to interpreting patterns of modern-day variation without direct historical observations. In this thesis, I outline new approaches for the retrieval, analysis and interpretation of large-scale genomic data from ancient populations, including solutions to overcome problems associated with limited genome coverage, modern-day contamination, temporal differences between samples, and post-mortem DNA damage. I integrate large-scale genomic data sets from ancient remains with modern-day variation to trace the human past; from traits targeted by natural selection in the early ancestors of anatomically modern humans, to their descendants' interbreeding with archaic populations in Eurasia and the spread of agriculture in Europe and Africa. By first reconstructing the earliest population diversification events of early modern humans using a novel large-scale genomic data set from Khoe-San populations in southern Africa, I devise a new approach to search for genomic patterns of selective sweeps in ancestral populations and report evidence for skeletal development as a major target of selection during the emergence of early modern humans. Comparing publicly available genomes from archaic humans, I further find that the distribution of archaic human ancestry in Eurasia is more complex than previously thought. In the first direct genomic study of population structure in prehistoric populations, I demonstrate that individuals associated with farming- and hunter-gatherer complexes in Neolithic Scandinavia were strongly genetically differentiated, and direct comparisons with modern-day populations as well as other prehistoric individuals from Southern Europe suggest that this structure originated from Northward expansion of Neolithic farming populations. Finally, I develop a bioinformatic approach for removing modern-day contamination from large-scale ancient DNA sequencing data, and use this method to reconstruct the complete mitochondrial genome sequence of a Siberian Neandertal that is affected by substantial modern-day contamination.
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Caruana, Josef. "Population genetics of Western Mediterranean islands : Malta, a case study." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/population-genetics-of-western-mediterranean-islands--malta-a-case-study(c1d605f5-01ae-4989-9b0c-4e5f34e431c6).html.

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In order to gain a greater understanding of the genetic makeup of the Maltese population, mitochondrial DNA HVR1 and HVR2, and Y-chromosomal and autosomal STRs were amplified in a representative sample of the Maltese population. The results showed that the Maltese have close genetic ties with Sicily and mainland Italy both from a matrilineal and a patrilineal perspective, whilst no conclusive evidence was found for a Phoenician link between the Maltese and the Lebanese population. In order to try and gain an insight into the Maltese population throughout time, a study was conducted on three Maltese archaeological burial places dating from the Neolithic to the Roman period. The study extracted and amplified ancient DNA sequences from these three sites and compared the resulting mtDNA sequences with the modern Maltese population. The results showed that aDNA survives in the Maltese archaeological record, and that some haplotypes found during the Roman period in Malta are also found in the modern day population, whilst other haplotypes present in the archaeological samples are not visible in the modern Maltese population.
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Endicott, Phillip. "Ancient DNA and human population genetics in island South East Asia." Thesis, University of Oxford, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.670170.

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Ramsey, Heather C. "Comparisons of mitochondrial DNA from ancient and modern Miami Indian populations." Virtual Press, 1999. http://liblink.bsu.edu/uhtbin/catkey/1133738.

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The purpose of this research endeavor was to determine the extent of genetic relatedness between an ancient and modern Miami Indian population. The modern Miami Indian nation in Indiana is currently in the process of regaining the federal recognition which was lost in the mid 1800's when part of the tribe was forced to relocate. A close genetic relationship between a modern and known ancient population could considerably strengthen the case to regain federal recognition. The human skeletal remains used for this experiment were excavated after partial exposure by flooding between 1989-1993 along the banks of the Mississinewa River in Wabash County. Through ethnohistoric dating techniques, the remains have been shown to represent a Miami Indian population living between 1790-1820. In order to yield amplifiable DNA several methods of isolation were attempted and compared. CTAB and phenol/chloroform/isoamyl alcohol (24:24:1) and a silica based purification method provided the best results yielding approximately 50-100 ng of amplifiable DNA from 3 of the 4 individuals. Purification of the DNA was found to be necessary following both isolation (Elu-Quik) prior to PCR amplification and after PCR but prior to sub-cloning(Gene-Clean). Regions of the mitochondrial DNA (mtDNA) genome of isolated DNA were amplified using primers which are specific for the HIizcIl and AIui regions of the mtDNA genome. Although the mtDNA proved to be somewhat amplifiable, it was still too fragmented to be cloned, which prevented genetic analysis and comparison of the two populations. As a result, a discussion of alternative methods for looking at relatedness between populations has been included.
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López, de Rioja Víctor. "Population range expansions, with mathematical applications to interacting systems and ancient human genetics." Doctoral thesis, Universitat de Girona, 2019. http://hdl.handle.net/10803/667171.

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The thesis studies from an analytical and computational perspective, and by using reaction-diffusion equations, the spatiotemporal evolution of different populations. First, the dynamics of the T7 bacteriophage infecting the E. coli bacteria is studied. By adding the delayed time in diffusion and reaction terms, as well as new mathematical terms biologically sound, we can achieve results that accurately match the experimental propagation speeds. Secondly, different mathematical models are proposed to correctly understand the expansion of VSV in Glioblastoma. The only model capable of this explanation is the system which understands the delay time for the processes of diffusion and reaction. Finally, the Neolithic transition through Europe is explained by studying ancient genetic DNA samples alongside mathematical simulations. Focusing on haplogroup K, the model is built by analyzing the two Neolithic diffusion mechanisms: demic and cultural. The simulations show that the transition is basically demic, with only 2% of the Neolithic farmers interacting culturally
Aquesta tesi estudia des d’un punt de analític i computacional, gràcies a les equacions de reacció-difusió, l’evolució espaciotemporal de diferents poblacions que interactuen entre elles. El primer article estudia la dinàmica del bacteriòfag T7 infectant el bacteri E. coli. Gràcies a la incorporació del temps de retard en els termes de difusió i reacció, així com de nous termes matemàtics amb sentit biològic, aconseguim uns resultats que s’ajusten millor a les velocitats de propagació. El segon article aplica diferents models matemàtics per entendre millor l’expansió del VSV en Glioblastomes. L'únic model capaç d'explicar de manera correcte el sistema té en compte el temps de retard per als processos de difusió i reacció. L’últim article explica la transició del Neolític a través d’Europa utilitzant mostres genètiques antigues i simulacions matemàtiques. Centrant-nos en l’haplogrup K, el model es construeix tenint en compte els dos mecanismes de difusió neolítica: dèmica i cultural. Les simulacions mostren que la transició és bàsicament dèmica, on només el 2% dels neolítics interaccionen culturalment
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Kuil, Linda, Gemma Carr, Alexia Prskawetz, José Luis Salinas, Alberto Viglione, and Günter Blöschl. "Learning from the Ancient Maya: Exploring the Impact of Drought on Population Dynamics." Elsevier, 2019. http://dx.doi.org/10.1016/j.ecolecon.2018.10.018.

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Understanding the relationship between drought and population dynamics is increasingly important, particularly in areas where high population growth corresponds with increasing drought risk due to climate change. We examine the relationship between drought events and population dynamics using a stylized hydrology-demography model that has been calibrated to simulate plausible feedbacks for the population decline of the Ancient Maya of Central America. We employ a deterministic and a stochastic approach. We find that the impact of drought increases abruptly once a critical threshold of population density is exceeded. The critical threshold depends on the intensity and duration of the drought as well as on the level of technology adopted by society, the extent of markets and societal behavior. The simulations show that, for a society to be as food secure post-climate change as they are pre-climate change, strategies would have to be adopted to not only increase the region's capacity to provide sufficient resources for its growing population, but also to buffer the impact of a drier climate on productivity. This study provides suggestions on how technological, societal and economic development can modify the system to mitigate the impacts of climate change on the human population.
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Vohr, Samuel H. "Identification and mixture deconvolution of ancient and forensic DNA using population genomic data." Thesis, University of California, Santa Cruz, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10249290.

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Forensic scientists routinely use DNA for identification and to match samples with individuals. Although standard approaches are effective on a wide variety of samples in various conditions, issues such as low-template DNA samples and mixtures of DNA from multiple individuals pose significant challenges. Extreme examples of these challenges can be found in the field of ancient DNA, where DNA recovered from ancient remains is highly fragmented and marked by patterns of DNA-damage. Additionally, ancient libraries are often characterized by low endogenous DNA content and contaminating DNA from outside sources. As a result, standard forensics approaches, such as amplification of short-tandem repeats, are not effective on ancient samples. Alternatively, ancient DNA is routinely directly sequenced using high-throughput sequencing to survey the molecules that are present within a library. However, the resulting sequences are not easily compared for the purposes of identification, as each data set represents a random and, in some cases, non-overlapping, sample of the genome.

In this dissertation, I present two approaches for interpreting shotgun sequences that address two common issues in forensic and ancient DNA: extremely low nuclear genome coverage and mixtures of sequences from multiple individuals. First, I present an approach to test for a common source individual between extremely low-coverage sequence data sets that makes use of the vast number of single-nucleotide polymorphisms (SNPs) discovered by surveys of human genetic diversity. As almost no observed SNP positions will be common to both samples, our method uses patterns of linkage disequilibrium as modeled by a panel of haplotypes to determine whether observations made across samples are consistent with originating from a single individual. I demonstrate the power of this approach using coalescent simulations, downsampled high-throughput sequencing data and published ancient DNA data. Second, I present an approach for interpreting mixtures of mitochondrial DNA sequences from multiple individuals. Mixed DNA samples are common in forensics investigations, either from the direct nature of a case (e.g., a sample containing DNA from both a victim and a perpetrator) or from outside contamination. I describe an expectation maximization approach for detecting the mitochondrial haplogroups contributing to a mixture and partitioning fragments by haplogroup to reconstruct the underlying haplotypes. I demonstrate the approach’s feasibility, accuracy, and sensitivity on both in silico and in vitro sequence mixtures. Finally, I present the results of applying our mixture interpretation approach on ancient contact DNA recovered from ∼ 700 year old moccasin and cordage samples.

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Books on the topic "Ancient Population"

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Wiman, Ronald. Development of population thought from ancient times to current policy debate. Helsinki, Finland: Helsingin yliopiston sosiologian laitos, 1986.

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Russell, Josiah Cox. The control of late ancient and medieval population. Philadelphia: American Philosophical Society, 1985.

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Daily life and demographics in ancient Japan. Ann Arbor, MI: Center for Japanese Studies The University of Michigan, 2009.

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Population circulation and the transformation of ancient Zuni communities. Tucson: University of Arizona Press, 2012.

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The water supply of ancient Rome: City area, water, and population. Amsterdam: J.C. Gieben, 2001.

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Caribbean paleodemography: Population, culture history, and sociopolitical processes in ancient Puerto Rico. Tuscaloosa: University of Alabama Press, 2005.

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Malcolm, Todd. Migrants & invaders: The movement of peoples in the ancient world. Stroud: Tempus, 2001.

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missing], [name. Perspectives on ancient Maya rural complexity. Los Angeles, CA: Cotsen Institute of Archaeology, University of Cal, 2003.

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Scheidel, Walter. Measuring sex, age and death in the Roman Empire: Explorations in ancient demography. Ann Arbor, MI: Journal of Roman Archaeology, 1996.

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Measuring sex, age and death in the Roman empire: Studies in ancient demography. Ann Arbor, MI: Journal of Roman Archaeology, 1996.

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Book chapters on the topic "Ancient Population"

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Smith, Oliver, and M. Thomas P. Gilbert. "Ancient RNA." In Population Genomics, 53–74. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/13836_2018_17.

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Hanghøj, Kristian, and Ludovic Orlando. "Ancient Epigenomics." In Population Genomics, 75–111. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/13836_2018_18.

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Resendez, Skyler D., Justin R. Bradley, Duo Xu, and Omer Gokcumen. "Structural Variants in Ancient Genomes." In Population Genomics, 375–91. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/13836_2018_34.

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Geigl, Eva-Maria, and Thierry Grange. "Of Cats and Men: Ancient DNA Reveals How the Cat Conquered the Ancient World." In Population Genomics, 307–24. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/13836_2018_26.

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Orlando, Ludovic. "An Ancient DNA Perspective on Horse Evolution." In Population Genomics, 325–51. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/13836_2018_23.

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Tsangaras, Kyriakos, and Alex D. Greenwood. "Paleovirology: Viral Sequences from Historical and Ancient DNA." In Population Genomics, 139–62. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/13836_2018_19.

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Marciniak, Stephanie, and Hendrik N. Poinar. "Ancient Pathogens Through Human History: A Paleogenomic Perspective." In Population Genomics, 115–38. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/13836_2018_52.

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Hauswirth, William W., Cynthia D. Dickel, and David A. Lawlor. "DNA Analysis of the Windover Population." In Ancient DNA, 104–21. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-4318-2_7.

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Parducci, Laura, Kevin Nota, and Jamie Wood. "Reconstructing Past Vegetation Communities Using Ancient DNA from Lake Sediments." In Population Genomics, 163–87. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/13836_2018_38.

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Oikkonen, Venla. "Imagining Origins Through Ancient Human DNA." In Population Genetics and Belonging, 73–130. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62881-3_3.

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Conference papers on the topic "Ancient Population"

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Fiorentino, G., A. Monachesi, S. Trager, T. Lauer, A. Saha, K. Mighell, W. L. Freedman, et al. "M32: Is there an Ancient, Metal-Poor Population?" In STELLAR PULSATION: CHALLENGES FOR THEORY AND OBSERVATION: Proceedings of the International Conference. AIP, 2009. http://dx.doi.org/10.1063/1.3246449.

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Nagao, Tohru, Nobuyuki Kawai, and Shigehiro Nagataki. "Observational Searches for High-Redshift Galaxies Hosting Population III Stars." In DECIPHERING THE ANCIENT UNIVERSE WITH GAMMA-RAY BURSTS. AIP, 2010. http://dx.doi.org/10.1063/1.3509259.

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Suwa, Yudai, Kunihito Ioka, Nobuyuki Kawai, and Shigehiro Nagataki. "First Gamma-Ray Bursts and Afterglows Imprinting Population III Progenitor Structure." In DECIPHERING THE ANCIENT UNIVERSE WITH GAMMA-RAY BURSTS. AIP, 2010. http://dx.doi.org/10.1063/1.3509260.

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Kozlenko, Roman. "Rite of disarming of the buried bodies among population of Lower Pobuzhue." In ANCIENT NECROPOLISES — FUNERAL AND MEMORIAL RITUALISM, ARCHITECTURE AND PLANNING OF NECROPOLISES. Institute for the History of Material Culture Russian Academy of Sciences, 2018. http://dx.doi.org/10.31600/978-5-93572-816-8-173-180.

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5

Argunov, Valeriy. "ANCIENT MIGRATION AND THE MOBILITY OF THE POPULATION IN THE ARCTIC YAKUTIA." In 4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM2017. STEF92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/22/s07.018.

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Keenan, Benjamin, Peter Douglas, Anic Imfeld, Yves Gélinas, Andrew Breckenridge, and Kevin Johnston. "Variation In Faecal Stanol Concentrations In Neotropical Lakes and Implications For Ancient Maya Population History." In Goldschmidt2020. Geochemical Society, 2020. http://dx.doi.org/10.46427/gold2020.1266.

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Gromov, Andrei, and Natal’ya Lazaretova. "THE OKUNEV CULTURE POPULATION OF THE MINUSINSK BASIN ACCORDING TO OSTEOMETRIC DATA." In ANCIENT AND MEDIEVAL CULTURES OF CENTRAL ASIA (THE FORMATION, DEVELOPMENT AND INTERACTION OF URBANIZED AND CATTLE-BREEDING SOCIETIES). Institute for the History of Material Culture of the Russian Academy of Sciences, 2020. http://dx.doi.org/10.31600/978-5-907298-09-5-68-70.

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Dranishnikova, Angela, and Ivan Semenov. "LEGAL ESSENCE OF ANCIENT PROVERBS AND SAYS AND THEIR SOCIAL SIGNIFICANCE." In Current problems of jurisprudence. ru: Publishing Center RIOR, 2020. http://dx.doi.org/10.29039/02032-6/075-081.

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The national legal system is determined by traditional elements characterizing the culture and customs that exist in the social environment in the form of moral standards and the law. However, the attitude of the population to the letter of the law, as a rule, initially contains negative properties in order to preserve personal freedom, status, position. Therefore, to solve pressing problems of rooting in the minds of society of the elementary foundations of the initial order, and then the rule of law in the public sphere, proverbs and sayings were developed that in essence contained legal educational criteria.
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Gromov, A., and E. Uchaneva. "HISTORY OF THE POPULATION OF TUVA IN SCYTHIAN TIMES: AN ANALYSIS OF CRANIOLOGICAL DATA." In ANCIENT AND MEDIEVAL CULTURES OF CENTRAL ASIA (THE FORMATION, DEVELOPMENT AND INTERACTION OF URBANIZED AND CATTLE-BREEDING SOCIETIES). Institute for the History of Material Culture of the Russian Academy of Sciences, 2020. http://dx.doi.org/10.31600/978-5-907298-09-5-165-167.

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Pokšāne, Alise. "Agro jauno laiku Rīgas kapsētu apbedījumu izpēte ar senās DNS analīzēm: nozīmīgākās pieejas un izpētes perspektīvas." In LU Studentu zinātniskā konference "Mundus et". LU Akadēmiskais apgāds, 2021. http://dx.doi.org/10.22364/lu.szk.2.rk.12.

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The aim of the research is to find out how ancient DNA analysis could supplement the existing knowledge acquired with research methods like analysis of literature and sources, as well as archaeological methods, using specific early modern period burials in Riga as an example. Within the framework of the study, the ancient DNA extraction and analysis was performed. The results are connected with the archaeological and historical context of the burial, thus enabling advancement of hypotheses about the origin of specific individuals based on the population genetics theory. As a result of the study, the approximate maternal origin of three and the sex of all six of the studied individuals was determined. It was found that the buried individuals had different regions of origin, thereby confirming that the inhabitants of Riga in the early modern period were ethnically diverse.
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