Volume 1 of the series Arabia Orientalis presents the first comprehensive study of two Umm an-Nar (2700—2000 BC) burial pits from the UNESCO World Heritage site Bat in the Sultanate of Oman. They ...were excavated between 2010 and 2012 by the University of Tübingen. Each burial pit represents one of the largest closed finds of the Early Bronze Age in the region. Finds largely include beads and other items of personal adornment, as well as pottery and human bones. Detailed typologies of all objects are the basis for in-depth statistical analyses of the different categories of finds and the reconstruction of burial customs at Bat. Furthermore, imports and imitations from other regions including the Indus Valley, Iran, and Mesopotamia illuminate Bat’s foreign relations and integration into the interregional exchange and communication system. The interpretation of the unearthed human remains conducted by Steve Zauner offer, not only the number of individuals, sex, and age of the deceased, but also insights into lifestyle, diseases, and stress of the people in the past.'Die Umm an-Nar-Zeit (2700–2000 v. Chr.) auf der östlichen Arabischen Halbinsel gilt als Periode tiefgreifender Veränderungen in der ökonomischen und sozialen Organisation der Gesellschaft sowie der Ausbeutung von Ressourcen. Einer der größten und bedeutendsten Fundplätze dieser Zeit im Sultanat Oman ist der seit 1988 auf der Welterbeliste der UNESCO stehende Fundort Bat in der Provinz Al-Dhahirah. Von 2010 bis 2015 führte die Eberhard Karls Universität Tübingen ein Projekt zur Erforschung der Entwicklung der beiden Nekropolen von Bat und Al-Ayn sowie der Siedlung von Al-Zebah durch. Im Mittelpunkt der Untersuchungen stand die Frage nach den Gründen und Ursachen des sozioökonomischen Umbruchs im 3. Jahrtausend v. Chr. und wie sich dieser in den Lebensverhältnissen der damaligen Bevölkerung widerspiegelt. Die vorliegende Publikation stellt den ersten Band der Endberichte des Forschungsprojekts des Instituts für die Kulturen des Alten Orients der Universität Tübingen in Bat, Al-Zebah und Al- Ayn dar. Das Werk beinhaltet die vollständige Auswertung der beiden Umm an-Nar-zeitlichen Bestattungsgruben A-Inst. 0006 und A-Inst. 0025 in Bat einschließlich anthropologischer Analysen und einer geophysikalischen Prospektion in der Nekropole von Bat. Beide Gruben zählen zu den größten jemals im Oman untersuchten geschlossenen Fundkontexten der frühen Bronzezeit. Zur Publikation gehört ein online unter https://tinyurl. com/9781789697391-der-fundekatalog publizierter Katalog, der sämtliche Einzelnachweise zu den Funden aus den beiden Bestattungsgruben enthält.
The genomic history of southeastern Europe Mathieson, Iain; Alpaslan-Roodenberg, Songül; Posth, Cosimo ...
Nature (London),
03/2018, Letnik:
555, Številka:
7695
Journal Article
Recenzirano
Odprti dostop
Farming was first introduced to Europe in the mid-seventh millennium bc, and was associated with migrants from Anatolia who settled in the southeast before spreading throughout Europe. Here, to ...understand the dynamics of this process, we analysed genome-wide ancient DNA data from 225 individuals who lived in southeastern Europe and surrounding regions between 12000 and 500 bc. We document a west-east cline of ancestry in indigenous hunter-gatherers and, in eastern Europe, the early stages in the formation of Bronze Age steppe ancestry. We show that the first farmers of northern and western Europe dispersed through southeastern Europe with limited hunter-gatherer admixture, but that some early groups in the southeast mixed extensively with hunter-gatherers without the sex-biased admixture that prevailed later in the north and west. We also show that southeastern Europe continued to be a nexus between east and west after the arrival of farmers, with intermittent genetic contact with steppe populations occurring up to 2,000 years earlier than the migrations from the steppe that ultimately replaced much of the population of northern Europe.
Volume 1 of the series Arabia Orientalis presents the
first comprehensive study of two Umm an-Nar (2700-2000 BC) burial
pits from the UNESCO World Heritage site Bat in the Sultanate of
Oman. They ...were excavated between 2010 and 2012 by the University
of Tübingen. Each burial pit represents one of the largest closed
finds of the Early Bronze Age in the region. Finds largely include
beads and other items of personal adornment, as well as pottery and
human bones. Detailed typologies of all objects are the basis for
in-depth statistical analyses of the different categories of finds
and the reconstruction of burial customs at Bat. Furthermore,
imports and imitations from other regions including the Indus
Valley, Iran, and Mesopotamia illuminate Bat's foreign relations
and integration into the interregional exchange and communication
system. The interpretation of the unearthed human remains conducted
by Steve Zauner offer, not only the number of individuals, sex, and
age of the deceased, but also insights into lifestyle, diseases,
and stress of the people in the past.Die Umm an-Nar-Zeit (2700-2000
v. Chr.) auf der östlichen Arabischen Halbinsel gilt als Periode
tiefgreifender Veränderungen in der ökonomischen und sozialen
Organisation der Gesellschaft sowie der Ausbeutung von Ressourcen.
Einer der größten und bedeutendsten Fundplätze dieser Zeit im
Sultanat Oman ist der seit 1988 auf der Welterbeliste der UNESCO
stehende Fundort Bat in der Provinz Al-Dhahirah. Von 2010 bis 2015
führte die Eberhard Karls Universität Tübingen ein Projekt zur
Erforschung der Entwicklung der beiden Nekropolen von Bat und
Al-Ayn sowie der Siedlung von Al-Zebah durch. Im Mittelpunkt der
Untersuchungen stand die Frage nach den Gründen und Ursachen des
sozioökonomischen Umbruchs im 3. Jahrtausend v. Chr. und wie sich
dieser in den Lebensverhältnissen der damaligen Bevölkerung
widerspiegelt. Die vorliegende Publikation stellt den ersten Band
der Endberichte des Forschungsprojekts des Instituts für die
Kulturen des Alten Orients der Universität Tübingen in Bat,
Al-Zebah und Al- Ayn dar. Das Werk beinhaltet die vollständige
Auswertung der beiden Umm an-Nar-zeitlichen Bestattungsgruben
A-Inst. 0006 und A-Inst. 0025 in Bat einschließlich
anthropologischer Analysen und einer geophysikalischen Prospektion
in der Nekropole von Bat. Beide Gruben zählen zu den größten jemals
im Oman untersuchten geschlossenen Fundkontexten der frühen
Bronzezeit. Zur Publikation gehört ein online unter
https://tinyurl. com/9781789697391-der-fundekatalog publizierter
Katalog, der sämtliche Einzelnachweise zu den Funden aus den beiden
Bestattungsgruben enthält.
Regensburgs »Großes Gräberfeld Codreanu-Windauer, Silvia; Hümmer, Michael; Igl, Karin ...
Archäologie in Deutschland,
09/2018
4
Magazine Article
Castra Regina war Standort einer Legion und damit die größte Garnison der Provinz Raetia. Im Schatten des Truppenlagers entwickelte sich eine Stadt mit einem Friedhof, der – schon im 19. Jh. beim ...Bahnbau entdeckt – als »Großes Gräberfeld« in die Fachliteratur einging. Aktuelle Grabungen förderten jetzt erneut 1500 Bestattungen zutage.
Provider: - Institution: - Data provided by Europeana Collections- All metadata published by Europeana are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain ...Dedication. However, Europeana requests that you actively acknowledge and give attribution to all metadata sources including Europeana
Provider: - Institution: - Data provided by Europeana Collections- All metadata published by Europeana are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain ...Dedication. However, Europeana requests that you actively acknowledge and give attribution to all metadata sources including Europeana
There is no consensus on reporting light characteristics in studies investigating non-visual responses to light. This project aimed to develop a reporting checklist for laboratory-based ...investigations on the impact of light on non-visual physiology.
A four-step modified Delphi process (three questionnaire-based feedback rounds and one face-to-face group discussion) involving international experts was conducted to reach consensus on the items to be included in the checklist. Following the consensus process, the resulting checklist was tested in a pilot phase with independent experts.
An initial list of 61 items related to reporting light-based interventions was condensed to a final checklist containing 25 items, based upon consensus among experts (final n = 60). Nine items were deemed necessary to report regardless of research question or context. A description of each item is provided in the accompanying Explanation and Elaboration (E&E) document. The independent pilot testing phase led to minor textual clarifications in the checklist and E&E document.
The ENLIGHT Checklist is the first consensus-based checklist for documenting and reporting ocular light-based interventions for human studies. The implementation of the checklist will enhance the impact of light-based research by ensuring comprehensive documentation, enhancing reproducibility, and enabling data aggregation across studies.
Network of European Institutes for Advanced Study (NETIAS) Constructive Advanced Thinking (CAT) programme; Sir Henry Wellcome Postdoctoral Fellowship (Wellcome Trust, 204686/Z/16/Z); Netherlands Organisation for Health Research and Development VENI fellowship (2020-09150161910128); U.S. Department of Defense Grant (W81XWH-16-1-0223); National University of Singapore (NUHSRO/2022/038/Startup/08); and National Research Foundation Singapore (NRF2022-THE004-0002).
Background: There is no consensus on reporting light characteristics in studies investigating non-visual responses to light. This project aimed to develop a reporting checklist for laboratory-based ...investigations on the impact of light on non-visual physiology. Methods: A four-step modified Delphi process (three questionnaire-based feedback rounds and one face-to-face group discussion) involving international experts was conducted to reach consensus on the items to be included in the checklist. Following the consensus process, the resulting checklist was tested in a pilot phase with independent experts. Findings: An initial list of 61 items related to reporting light-based interventions was condensed to a final checklist containing 25 items, based upon consensus among experts (final n = 60). Nine items were deemed necessary to report regardless of research question or context. A description of each item is provided in the accompanying Explanation and Elaboration (E&E) document. The independent pilot testing phase led to minor textual clarifications in the checklist and E&E document. Interpretation: The ENLIGHT Checklist is the first consensus-based checklist for documenting and reporting ocular light-based interventions for human studies. The implementation of the checklist will enhance the impact of light-based research by ensuring comprehensive documentation, enhancing reproducibility, and enabling data aggregation across studies. Funding: Network of European Institutes for Advanced Study (NETIAS) Constructive Advanced Thinking (CAT) programme; Sir Henry Wellcome Postdoctoral Fellowship (Wellcome Trust, 204686/Z/16/Z); Netherlands Organisation for Health Research and Development VENI fellowship (2020–09150161910128); U.S. Department of Defense Grant (W81XWH-16-1-0223); National University of Singapore (NUHSRO/2022/038/Startup/08); and National Research Foundation Singapore (NRF2022-THE004-0002).
Biology demonstrates powerful information processing capabilities. Of particular interest are enzymes, which process information in highly complex dynamic environments. Exploring the information ...processing characteristics of an enzyme by selectively altering its environment may lead to the discovery of new modes of computation. The physical experiments required to perform such exploration are combinatorial in nature. Thus resource consumption, both time and money, poses major limiting factors on any exploratory work. New tools are required to mitigate these factors. One such tool is lab-on-chip based autonomous experimentation system, where a microfluidic experimentation platform is driven by machine learning algorithms. The lab-on-chip approach provides an automated platform that can perform complex protocols, which is also capable of reducing the resource cost of experimentation. The machine learning algorithms provide intelligent experiment selection that reduces the number of experiments required for discovery. Here we discuss development of the experimentation platform and machine learning software that will lead to fully autonomous characterisation of enzymes.
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