scholarly journals Projecting Ancient Ancestry in Modern-Day Arabians and Iranians: A Key Role of the Past Exposed Arabo-Persian Gulf on Human Migrations

2021 ◽  
Vol 13 (9) ◽  
Author(s):  
Joana C Ferreira ◽  
Farida Alshamali ◽  
Francesco Montinaro ◽  
Bruno Cavadas ◽  
Antonio Torroni ◽  
...  
Keyword(s):  
Persian Gulf ◽  
Climatic Conditions ◽  
Data Set ◽  
The Caucasus ◽  
Dna Evidence ◽  
Eurasian Lineage ◽  
The Common ◽  
Out Of Africa ◽  
Sub Saharan

Abstract The Arabian Peninsula is strategic for investigations centered on the early structuring of modern humans in the wake of the out-of-Africa migration. Despite its poor climatic conditions for the recovery of ancient human DNA evidence, the availability of both genomic data from neighboring ancient specimens and informative statistical tools allow modeling the ancestry of local modern populations. We applied this approach to a data set of 741,000 variants screened in 291 Arabians and 78 Iranians, and obtained insightful evidence. The west-east axis was a strong forcer of population structure in the Peninsula, and, more importantly, there were clear continuums throughout time linking western Arabia with the Levant, and eastern Arabia with Iran and the Caucasus. Eastern Arabians also displayed the highest levels of the basal Eurasian lineage of all tested modern-day populations, a signal that was maintained even after correcting for a possible bias due to a recent sub-Saharan African input in their genomes. Not surprisingly, eastern Arabians were also the ones with highest similarity with Iberomaurusians, who were, so far, the best proxy for the basal Eurasians amongst the known ancient specimens. The basal Eurasian lineage is the signature of ancient non-Africans who diverged from the common European-eastern Asian pool before 50,000 years ago, prior to the later interbred with Neanderthals. Our results appear to indicate that the exposed basin of the Arabo-Persian Gulf was the possible home of basal Eurasians, a scenario to be further investigated by searching ancient Arabian human specimens.

scholarly journals Projecting ancient ancestry in modern-day Arabians and Iranians: a key role of the past exposed Arabo-Persian Gulf on human migrations

2021 ◽  
Author(s):  
Joana C. Ferreira ◽  
Farida Alshamali ◽  
Francesco Montinaro ◽  
Bruno Cavadas ◽  
Antonio Torroni ◽  
...  
Keyword(s):  
Persian Gulf ◽  
Arabian Peninsula ◽  
Modern Human ◽  
Climatic Conditions ◽  
The Past ◽  
Eurasian Lineage ◽  
The Common ◽  
Out Of Africa ◽  
Sub Saharan

AbstractArabian Peninsula is strategic for investigations centred on the structuring of the modern human population in the three main groups, in the awake of the out-of-Africa migration. Despite the poor climatic conditions for recovery of ancient DNA human evidence in Arabia, the availability of genomic data from neighbouring ancient specimens and of informative statistical tools allow better modelling the ancestry of these populations. We applied this approach to a dataset of 741,000 variants screened in 291 Arabians and 78 Iranians, and obtained insightful evidence. The west-east axis was a strong forcer of population structure in the Peninsula, and, more importantly, there were clear continuums throughout time linking west Arabia with Levant, and east Arabia with Iran and Caucasus. East Arabians also displayed the highest levels of the basal Eurasian lineage of all tested modern-day populations, a signal that was maintained even after correcting for possible bias due to recent sub-Saharan African input in their genomes. Not surprisingly, east Arabians were also the ones with higher similarity with Iberomaurusians, who were so far the best proxy for the basal Eurasians amongst the known ancient specimens. The basal Eurasian lineage is the signature of ancient non-Africans that diverged from the common European-East Asian pool before 50 thousand years ago, and before the later interbred with Neanderthals. Our results are strong evidence to include the exposed basin of the Arabo-Persian Gulf as possible home of basal Eurasians, to be investigated further on namely by searching ancient Arabian human specimens.

scholarly journals A new model of human dispersal

2015 ◽  
Author(s):  
Trevor G Underwood
Keyword(s):  
Common Ancestor ◽  
New Model ◽  
Human Dispersal ◽  
Eurasian Lineage ◽  
Phylogenetic Model ◽  
Admixed Population ◽  
The Common ◽  
Out Of Africa ◽  
Sub Saharan ◽  
Mtdna Haplogroup

Analysis of previously unpublished allele counts obtained from the French-San-Neanderthal-Chimpanzee alignment of the high quality DNA sequence of a Neanderthal from the Altai Mountains raises significant questions about the currently accepted phylogenetic model of the origins of Europeans. Previous estimates of the proportion of Neanderthal ancestry in present-day Europeans ranged between 1.3% and 2.7% supporting a recent Out-of Africa dispersal model followed by a low level of admixture with Neanderthals. However, analysis of the allele counts indicates the existence of an unidentified third archaic ancestor of Europeans, which diverged from its common ancestor with sub-Saharan Africans around 900 thousand years ago. This analysis shows that the relative proportions of derived alleles in the 0.0826% of the European genome that is not shared with the common ancestor of humans and chimpanzee are 13.6% Neanderthal, 32.3% sub-Saharan African and 54.2% third archaic ancestor. This analysis together with anthropological and archaeological evidence suggests a new model of human dispersal based on a Eurasian lineage in the Levant, which admixed with Neanderthals and descendants of African mtDNA haplogroup L3, followed by radiation from a basal admixed population around 55-50 Kya, with no subsequent major contribution to the European genome.

Single mothers coping with food insecurity in a Nairobi slum

Urban Studies ◽  
2020 ◽  
pp. 004209802096384
Author(s):  
Sangeetha Madhavan ◽  
Shelley Clark ◽  
Sara Schmidt
Keyword(s):  
Food Insecurity ◽  
Single Mothers ◽  
Urban Poor ◽  
Urban Poverty ◽  
Sub Saharan Africa ◽  
Data Set ◽  
Policy Makers ◽  
Intangible Resources ◽  
Sub Saharan

With high urbanisation rates, cities in sub-Saharan Africa are contending with food insecurity. Urban studies scholars have approached the issue mainly from the perspective of food deserts. We adapt Sen’s ‘resource bundles’ and Watts and Bohles’s ‘space of vulnerability’ concepts to examine food insecurity as a function of both tangible and intangible resources. Moreover, we also interrogate the role of kin in strengthening safety nets for the urban poor. Drawing on a data set of 462 single mothers in a slum in Nairobi, Kenya, we find that (1) bundles comes in four types; (2) bundles with high levels of all resources buffer against food insecurity as do (3) bundles weighted with high levels of wealth and social standing; and (4) kin enhance the protective effect of bundles only for two types. These findings should direct urban poverty researchers to consider the compounding effect of resources in the reproduction of poverty and social inequality and encourage policy makers to focus on both vulnerability and resilience in designing interventions to ensure food security.

Commercialization behaviour in production agriculture

2018 ◽  
Vol 8 (3) ◽  
pp. 579-602 ◽  
Author(s):  
Asif Yaseen ◽  
Kim Bryceson ◽  
Anne Njeri Mungai
Keyword(s):  
Structural Equation ◽  
Smallholder Farmers ◽  
Commodity Markets ◽  
Data Set ◽  
Content Type ◽  
Market Opportunities ◽  
Sub Saharan ◽  
Business Approach ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of market orientation (MO) on the major determinants of commercialization behavior among Sub-Saharan smallholders. The study addresses the shortfalls in prior research on smallholder commercialization, which makes little difference between MO and market participation (MP). Design/methodology/approach The study reports on an empirical data set of 272 vegetable growers from Kiambu West District in Kenya and employs a partial least squares structural equation approach to test the hypotheses. Findings The results evidence that MO: fosters farmers’ ability to create value within commodity markets by capitalizing on market opportunities; changes the way in which farmers perceive the role of institution and infrastructure support and; and develops a drive for adopting business approach in farming operations. Research limitations/implications Fostering commercialization behavior among smallholders in Kenya requires implementing a two-pronged approach: improving MO to adopt business approach in farming operations; and facilitating MP at output level. The major limitation of this study is data collected only from high value vegetable producers in Kenya, signifying a need to include other agriculture produce across different Sub-Saharan countries. Originality/value Research on smallholder agriculture is replete with investigating institutional and technical constraints to make smallholders more productive, however, research on MO to adopt business approach in farming operations is scant. This study emphasizes that understanding MO, as a distinct and separate concept from MP, is vital for scaling up business approach among smallholder farmers.

On everyday academic research

2017 ◽  
pp. 98-134 ◽  
Author(s):  
J. Tirole
Keyword(s):  
Common Good ◽  
Academic Research ◽  
Research Quality ◽  
Economic Research ◽  
Relevant Research ◽  
The Common ◽  
Verification Of Models ◽  
Science And Research

In the fourth chapter of the book “The economy of the common good”, the nature of economics as a science and research practices in their theoretical and empirical aspects are discussed. The author considers the processes of modeling, empirical verification of models and evaluation of research quality. In addition, the features of economic cognition and the role of mathematics in economic research are analyzed, including the example of relevant research in game theory and information theory.

Contemplative Principles of a Non-dual Praxis: the Unmediated Practices of the Tibetan ‘Heart Essence’ (sNying thig) Tradition

2015 ◽  
Vol 31 (2) ◽  
pp. 215-240
Author(s):  
Eran Laish
Keyword(s):  
Contemplative Practice ◽  
Tibetan Buddhist ◽  
Buddhist Tradition ◽  
The Common

This article focuses on the main contemplative principles of the ‘Heart Essence’ (sNying thig), a Tibetan Buddhist tradition that is characterized by a vision of non-duality and primordial wholeness. Due to this vision, which asserts an original reality that is not divided into perceiving subject and perceived object, the ‘Heart Essence’ advocates a contemplative practice that undermines the usual intuitions of temporality and enclosed selfhood. Hence, unlike the common principles of intentional praxis, such as deliberate concentration and gradual purification, the ‘Heart Essence’ affirms four contemplative principles of non-objectiveness, openness, spontaneity and singleness. As these principles transcend intentionality, temporality, and multiplicity, they are seen to directly disclose the nature of primordial awareness, in which the meanings of knowing and being are radically transformed. Therefore, the article will also consider the role of these non-dual contemplative principles in deeply changing our understanding of being and knowing alike.

The Role of International Legal Norms in the Fight Against Extremism and Terrorism in the Caucasus Countries

2017 ◽  
Vol 62 (4) ◽  
pp. 167-183
Author(s):  
Maleyka Abbasova ◽  
◽  
Ayten Huseynova Bashir kızı ◽  
Keyword(s):  
The Caucasus ◽  
Legal Norms

A driver drowsiness and distraction warning system based on raspberry Pi 3 Kit

2019 ◽  
Vol 70 (3) ◽  
pp. 184-192
Author(s):  
Toan Dao Thanh ◽  
Vo Thien Linh
Keyword(s):  
Processing System ◽  
Warning System ◽  
Raspberry Pi ◽  
Data Set ◽  
Lower Lip ◽  
Driver Drowsiness ◽  
Image Sensing ◽  
The Face ◽  
The Common ◽  
University Laboratory

In this article, a system to detect driver drowsiness and distraction based on image sensing technique is created. With a camera used to observe the face of driver, the image processing system embedded in the Raspberry Pi 3 Kit will generate a warning sound when the driver shows drowsiness based on the eye-closed state or a yawn. To detect the closed eye state, we use the ratio of the distance between the eyelids and the ratio of the distance between the upper lip and the lower lip when yawning. A trained data set to extract 68 facial features and “frontal face detectors” in Dlib are utilized to determine the eyes and mouth positions needed to carry out identification. Experimental data from the tests of the system on Vietnamese volunteers in our University laboratory show that the system can detect at realtime the common driver states of “Normal”, “Close eyes”, “Yawn” or “Distraction”

Exchange Spin Coupling from Gaussian Process Regression

2020 ◽  
Author(s):  
Marc Philipp Bahlke ◽  
Natnael Mogos ◽  
Jonny Proppe ◽  
Carmen Herrmann
Keyword(s):  
Machine Learning ◽  
Gaussian Process ◽  
Gaussian Process Regression ◽  
Molecular Magnets ◽  
Molecular Structures ◽  
Spin Coupling ◽  
Structure Property ◽  
Data Set ◽  
Uncertainty Estimates

Heisenberg exchange spin coupling between metal centers is essential for describing and understanding the electronic structure of many molecular catalysts, metalloenzymes, and molecular magnets for potential application in information technology. We explore the machine-learnability of exchange spin coupling, which has not been studied yet. We employ Gaussian process regression since it can potentially deal with small training sets (as likely associated with the rather complex molecular structures required for exploring spin coupling) and since it provides uncertainty estimates (“error bars”) along with predicted values. We compare a range of descriptors and kernels for 257 small dicopper complexes and find that a simple descriptor based on chemical intuition, consisting only of copper-bridge angles and copper-copper distances, clearly outperforms several more sophisticated descriptors when it comes to extrapolating towards larger experimentally relevant complexes. Exchange spin coupling is similarly easy to learn as the polarizability, while learning dipole moments is much harder. The strength of the sophisticated descriptors lies in their ability to linearize structure-property relationships, to the point that a simple linear ridge regression performs just as well as the kernel-based machine-learning model for our small dicopper data set. The superior extrapolation performance of the simple descriptor is unique to exchange spin coupling, reinforcing the crucial role of choosing a suitable descriptor, and highlighting the interesting question of the role of chemical intuition vs. systematic or automated selection of features for machine learning in chemistry and material science.

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