The Experts below are selected from a list of 20685 Experts worldwide ranked by ideXlab platform
Beverly Yuen Thompson - One of the best experts on this subject based on the ideXlab platform.
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The Digital Nomad Lifestyle: (Remote) Work/Leisure Balance, Privilege, and Constructed Community
International Journal of the Sociology of Leisure, 2019Co-Authors: Beverly Yuen ThompsonAbstract:This paper overviews key concepts about the digital Nomad lifestyle, which is defined as the ability for individuals to work remotely from their laptop and use their freedom from an office to travel the world. This concept has found a lifestyle movement that sells itself via personal blogs, Instagram feeds, in-person conferences, news features, and numerous e-books. Based on interviews with thirty-eight self-described Nomads, this paper overviews the digital Nomad lifestyle around the themes of privilege, inequality, leisure, work, and community. Stebbins’ ( International Journal of the Sociology of Leisure, 1 , 43–53, 2018 ) concept of serious leisure provides one theoretical perspective, in addition to other sociological theories of leisure, work, and community.
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the digital Nomad lifestyle remote work leisure balance privilege and constructed community
International Journal of the Sociology of Leisure, 2019Co-Authors: Beverly Yuen ThompsonAbstract:This paper overviews key concepts about the digital Nomad lifestyle, which is defined as the ability for individuals to work remotely from their laptop and use their freedom from an office to travel the world. This concept has found a lifestyle movement that sells itself via personal blogs, Instagram feeds, in-person conferences, news features, and numerous e-books. Based on interviews with thirty-eight self-described Nomads, this paper overviews the digital Nomad lifestyle around the themes of privilege, inequality, leisure, work, and community. Stebbins’ (International Journal of the Sociology of Leisure, 1, 43–53, 2018) concept of serious leisure provides one theoretical perspective, in addition to other sociological theories of leisure, work, and community.
Pradiptajati Kusuma - One of the best experts on this subject based on the ideXlab platform.
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The last sea Nomads of the Indonesian archipelago: genomic origins and dispersal
European Journal of Human Genetics, 2017Co-Authors: Pradiptajati Kusuma, Nicolas Brucato, Thierry Letellier, Herawati Sudoyo, Murray Cox, Abdul Manan, Chandra Nuraini, Philippe Grangé, François-xavier RicautAbstract:The Bajo, the world's largest remaining sea Nomad group, are scattered across hundreds of recently settled communities in Island Southeast Asia, along the coasts of Indonesia, Malaysia and the Philippines. With a significant role in historical trading, the Bajo lived until recently as Nomads, spending their entire lives on houseboats while moving long distances to fish and trade. Along the routes they traveled, the Bajo settled and intermarried with local land-based groups, leading to 'maritime creolization', a process whereby Bajo communities retained their culture, but assimilated - and frequently married into - local groups. The origins of the Bajo have remained unclear despite several hypotheses from oral tradition, culture and language, all currently without supporting genetic evidence. Here, we report genome-wide SNP analyses on 73 Bajo individuals from three communities across Indonesia - the Derawan of Northeast Borneo, the Kotabaru of Southeast Borneo and the Kendari of Southeast Sulawesi, with 87 new samples from three populations surrounding the area where these Bajo peoples live. The Bajo likely share a common connection with Southern Sulawesi, but crucially, each Bajo community also exhibits unique genetic contributions from neighboring populations.
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mitochondrial dna and the y chromosome suggest the settlement of madagascar by indonesian sea Nomad populations
BMC Genomics, 2015Co-Authors: Pradiptajati Kusuma, Murray P Cox, Denis Pierron, Harilanto Razafindrazaka, Nicolas Brucato, Laure Tonasso, Helena Suryadi, Thierry Letellier, Herawati SudoyoAbstract:Linguistic, cultural and genetic characteristics of the Malagasy suggest that both Africans and Island Southeast Asians were involved in the colonization of Madagascar. Populations from the Indonesian archipelago played an especially important role because linguistic evidence suggests that the Malagasy language branches from the Southeast Barito language family of southern Borneo, Indonesia, with the closest language spoken today by the Ma’anyan. To test for a genetic link between Malagasy and these linguistically related Indonesian populations, we studied the Ma’anyan and other Indonesian ethnic groups (including the sea Nomad Bajo) that, from their historical and linguistic contexts, may be modern descendants of the populations that helped enact the settlement of Madagascar. A combination of phylogeographic analysis of genetic distances, haplotype comparisons and inference of parental populations by linear optimization, using both maternal and paternal DNA lineages, suggests that Malagasy derive from multiple regional sources in Indonesia, with a focus on eastern Borneo, southern Sulawesi and the Lesser Sunda islands. Settlement may have been mediated by ancient sea Nomad movements because the linguistically closest population, Ma’anyan, has only subtle genetic connections to Malagasy, whereas genetic links with other sea Nomads are more strongly supported. Our data hint at a more complex scenario for the Indonesian settlement of Madagascar than has previously been recognized.
Herawati Sudoyo - One of the best experts on this subject based on the ideXlab platform.
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The last sea Nomads of the Indonesian archipelago: genomic origins and dispersal
European Journal of Human Genetics, 2017Co-Authors: Pradiptajati Kusuma, Nicolas Brucato, Thierry Letellier, Herawati Sudoyo, Murray Cox, Abdul Manan, Chandra Nuraini, Philippe Grangé, François-xavier RicautAbstract:The Bajo, the world's largest remaining sea Nomad group, are scattered across hundreds of recently settled communities in Island Southeast Asia, along the coasts of Indonesia, Malaysia and the Philippines. With a significant role in historical trading, the Bajo lived until recently as Nomads, spending their entire lives on houseboats while moving long distances to fish and trade. Along the routes they traveled, the Bajo settled and intermarried with local land-based groups, leading to 'maritime creolization', a process whereby Bajo communities retained their culture, but assimilated - and frequently married into - local groups. The origins of the Bajo have remained unclear despite several hypotheses from oral tradition, culture and language, all currently without supporting genetic evidence. Here, we report genome-wide SNP analyses on 73 Bajo individuals from three communities across Indonesia - the Derawan of Northeast Borneo, the Kotabaru of Southeast Borneo and the Kendari of Southeast Sulawesi, with 87 new samples from three populations surrounding the area where these Bajo peoples live. The Bajo likely share a common connection with Southern Sulawesi, but crucially, each Bajo community also exhibits unique genetic contributions from neighboring populations.
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mitochondrial dna and the y chromosome suggest the settlement of madagascar by indonesian sea Nomad populations
BMC Genomics, 2015Co-Authors: Pradiptajati Kusuma, Murray P Cox, Denis Pierron, Harilanto Razafindrazaka, Nicolas Brucato, Laure Tonasso, Helena Suryadi, Thierry Letellier, Herawati SudoyoAbstract:Linguistic, cultural and genetic characteristics of the Malagasy suggest that both Africans and Island Southeast Asians were involved in the colonization of Madagascar. Populations from the Indonesian archipelago played an especially important role because linguistic evidence suggests that the Malagasy language branches from the Southeast Barito language family of southern Borneo, Indonesia, with the closest language spoken today by the Ma’anyan. To test for a genetic link between Malagasy and these linguistically related Indonesian populations, we studied the Ma’anyan and other Indonesian ethnic groups (including the sea Nomad Bajo) that, from their historical and linguistic contexts, may be modern descendants of the populations that helped enact the settlement of Madagascar. A combination of phylogeographic analysis of genetic distances, haplotype comparisons and inference of parental populations by linear optimization, using both maternal and paternal DNA lineages, suggests that Malagasy derive from multiple regional sources in Indonesia, with a focus on eastern Borneo, southern Sulawesi and the Lesser Sunda islands. Settlement may have been mediated by ancient sea Nomad movements because the linguistically closest population, Ma’anyan, has only subtle genetic connections to Malagasy, whereas genetic links with other sea Nomads are more strongly supported. Our data hint at a more complex scenario for the Indonesian settlement of Madagascar than has previously been recognized.
Ola Larsson - One of the best experts on this subject based on the ideXlab platform.
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normalization of mass spectrometry data Nomad
Advances in biological regulation, 2017Co-Authors: Carl Murie, Brian J. Sandri, Timothy J. Griffin, Christine H. Wendt, Ann Sofi Sandberg, Janne Lehtio, Ola LarssonAbstract:iTRAQ and TMT reagent-based mass spectrometry (MS) are commonly used technologies for quantitative proteomics in biological samples. Such studies are often performed over multiple MS runs, potentially resulting in introduction of MS run bias that could affect downstream analysis. Such MS data have therefore commonly been normalized using a reference sample which is included in each MS run. We show, however, that reference normalization does not effectively remove systematic MS run bias. A linear model approach was previously proposed to improve on the reference normalization approach but does not computationally scale to larger data sets. Here we describe the Nomad (normalization of mass spectrometry data) R package which implements a computationally efficient ANOVA normalization approach with protein assembly functionality. Nomad provides the same advantages as the linear regression solution but is more computationally efficient which allows superior scaling to larger sample sizes. Moreover, Nomad effectively removes bias which improves valid across MS run comparisons.
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Normalization of Mass Spectrometry Data (Nomad)
2017Co-Authors: Carl Murie, Brian J. Sandri, Timothy J. Griffin, Christine H. Wendt, Ola LarssonAbstract:Motivation: iTRAQ reagent-based mass spectrometry (MS) is a commonly used technology for identification and quantification of proteins in biological samples. Such studies are often performed over multiple MS runs, potentially resulting in introduction of MS run bias that could affect downstream analysis. iTRAQ MS data have therefore commonly been normalized using a reference sample which is included in each MS run. We show, however, that such normalization does not efficiently remove systematic MS run bias. A linear model approach was previously proposed to improve on the reference normalization approach but does not computationally scale to larger data. Here we describe the Nomad (normalization of mass spectrometry data) R package which implements a computationally efficient ANOVA normalization approach with protein assembly functionality. Results: Nomad provides the same advantages as the linear regression solution but is more computationally efficient which allows superior scaling to larger sample sizes. Moreover, Nomad efficiently removes bias which allows for valid across MS run comparisons. Availability: The Nomad Bioconductor package: www.bioconductor .org
Carl Murie - One of the best experts on this subject based on the ideXlab platform.
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normalization of mass spectrometry data Nomad
Advances in biological regulation, 2017Co-Authors: Carl Murie, Brian J. Sandri, Timothy J. Griffin, Christine H. Wendt, Ann Sofi Sandberg, Janne Lehtio, Ola LarssonAbstract:iTRAQ and TMT reagent-based mass spectrometry (MS) are commonly used technologies for quantitative proteomics in biological samples. Such studies are often performed over multiple MS runs, potentially resulting in introduction of MS run bias that could affect downstream analysis. Such MS data have therefore commonly been normalized using a reference sample which is included in each MS run. We show, however, that reference normalization does not effectively remove systematic MS run bias. A linear model approach was previously proposed to improve on the reference normalization approach but does not computationally scale to larger data sets. Here we describe the Nomad (normalization of mass spectrometry data) R package which implements a computationally efficient ANOVA normalization approach with protein assembly functionality. Nomad provides the same advantages as the linear regression solution but is more computationally efficient which allows superior scaling to larger sample sizes. Moreover, Nomad effectively removes bias which improves valid across MS run comparisons.
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Normalization of Mass Spectrometry Data (Nomad)
2017Co-Authors: Carl Murie, Brian J. Sandri, Timothy J. Griffin, Christine H. Wendt, Ola LarssonAbstract:Motivation: iTRAQ reagent-based mass spectrometry (MS) is a commonly used technology for identification and quantification of proteins in biological samples. Such studies are often performed over multiple MS runs, potentially resulting in introduction of MS run bias that could affect downstream analysis. iTRAQ MS data have therefore commonly been normalized using a reference sample which is included in each MS run. We show, however, that such normalization does not efficiently remove systematic MS run bias. A linear model approach was previously proposed to improve on the reference normalization approach but does not computationally scale to larger data. Here we describe the Nomad (normalization of mass spectrometry data) R package which implements a computationally efficient ANOVA normalization approach with protein assembly functionality. Results: Nomad provides the same advantages as the linear regression solution but is more computationally efficient which allows superior scaling to larger sample sizes. Moreover, Nomad efficiently removes bias which allows for valid across MS run comparisons. Availability: The Nomad Bioconductor package: www.bioconductor .org