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  • 1
    Online Resource
    Online Resource
    Elsevier BV ; 2010
    In:  Journal of Pediatric Health Care Vol. 24, No. 1 ( 2010-1), p. 14-24
    In: Journal of Pediatric Health Care, Elsevier BV, Vol. 24, No. 1 ( 2010-1), p. 14-24
    Type of Medium: Online Resource
    ISSN: 0891-5245
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2010
    detail.hit.zdb_id: 2048801-4
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  • 2
    Online Resource
    Online Resource
    Elsevier BV ; 2009
    In:  Journal of Adolescent Health Vol. 44, No. 2 ( 2009-2), p. S28-
    In: Journal of Adolescent Health, Elsevier BV, Vol. 44, No. 2 ( 2009-2), p. S28-
    Type of Medium: Online Resource
    ISSN: 1054-139X
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2009
    detail.hit.zdb_id: 2006608-9
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  • 3
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2023
    In:  Epidemiology Vol. 34, No. 3 ( 2023-05), p. e19-e20
    In: Epidemiology, Ovid Technologies (Wolters Kluwer Health), Vol. 34, No. 3 ( 2023-05), p. e19-e20
    Type of Medium: Online Resource
    ISSN: 1044-3983
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 2042095-X
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  • 4
    In: The Astrophysical Journal, American Astronomical Society, Vol. 948, No. 2 ( 2023-05-01), p. 71-
    Abstract: Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counterintuitively heats coronae to temperatures that are orders of magnitude hotter than the corresponding photospheres. It is widely accepted that the magnetic field is responsible for the heating, but there are two competing mechanisms that could explain it: nanoflares or Alfvén waves. To date, neither can be directly observed. Nanoflares are, by definition, extremely small, but their aggregate energy release could represent a substantial heating mechanism, presuming they are sufficiently abundant. One way to test this presumption is via the flare frequency distribution, which describes how often flares of various energies occur. If the slope of the power law fitting the flare frequency distribution is above a critical threshold, α = 2 as established in prior literature, then there should be a sufficient abundance of nanoflares to explain coronal heating. We performed 〉 600 case studies of solar flares, made possible by an unprecedented number of data analysts via three semesters of an undergraduate physics laboratory course. This allowed us to include two crucial, but nontrivial, analysis methods: preflare baseline subtraction and computation of the flare energy, which requires determining flare start and stop times. We aggregated the results of these analyses into a statistical study to determine that α = 1.63 ± 0.03. This is below the critical threshold, suggesting that Alfvén waves are an important driver of coronal heating.
    Type of Medium: Online Resource
    ISSN: 0004-637X , 1538-4357
    RVK:
    Language: Unknown
    Publisher: American Astronomical Society
    Publication Date: 2023
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    detail.hit.zdb_id: 1473835-1
    SSG: 16,12
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  • 5
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 378, No. 6615 ( 2022-10-07)
    Abstract: Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century. Expanse of SARS-CoV-2 sequencing capacity in Africa. ( A ) African countries (shaded in gray) and institutions (red circles) with on-site sequencing facilities that are capable of producing SARS-CoV-2 whole genomes locally. ( B ) The number of SARS-CoV-2 genomes produced per country and the proportion of those genomes that were produced locally, regionally within Africa, or abroad. ( C ) Decreased turnaround time of sequencing output in Africa to an almost real-time release of genomic data.
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
    RVK:
    RVK:
    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2022
    detail.hit.zdb_id: 128410-1
    detail.hit.zdb_id: 2066996-3
    detail.hit.zdb_id: 2060783-0
    SSG: 11
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  • 6
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2020
    In:  Epidemiology Vol. 31, No. 3 ( 2020-05), p. 356-358
    In: Epidemiology, Ovid Technologies (Wolters Kluwer Health), Vol. 31, No. 3 ( 2020-05), p. 356-358
    Abstract: We recently suggested new statistical metrics for routine reporting in random-effects meta-analyses to convey evidence strength for scientifically meaningful effects under effect heterogeneity. First, given a chosen threshold of meaningful effect size, we suggested reporting the estimated proportion of true population effect sizes above this threshold. Second, we suggested reporting the proportion of effect sizes below a second, possibly symmetric, threshold in the opposite direction from the estimated mean. Our previous methods applied when the true population effects are approximately normal, when the number of studies is relatively large, and when the proportion is between approximately 0.15 and 0.85. Here, we additionally describe robust methods for point estimation and inference that perform well under considerably more general conditions, as we validate in an extensive simulation study. The methods are implemented in the R package MetaUtility (function prop_stronger). We describe application of the robust methods to conducting sensitivity analyses for unmeasured confounding in meta-analyses.
    Type of Medium: Online Resource
    ISSN: 1044-3983
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2020
    detail.hit.zdb_id: 2042095-X
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  • 7
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2018
    In:  Epidemiology Vol. 29, No. 1 ( 2018-01), p. e5-e6
    In: Epidemiology, Ovid Technologies (Wolters Kluwer Health), Vol. 29, No. 1 ( 2018-01), p. e5-e6
    Type of Medium: Online Resource
    ISSN: 1044-3983
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2018
    detail.hit.zdb_id: 2042095-X
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  • 8
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 33, No. 15_suppl ( 2015-05-20), p. 1069-1069
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2015
    detail.hit.zdb_id: 2005181-5
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  • 9
    In: Journal of the Endocrine Society, The Endocrine Society, Vol. 6, No. Supplement_1 ( 2022-11-01), p. A675-A676
    Abstract: Antibiotics are over-used in healthcare, but little is known regarding their effects on cortisol levels in healthy individuals. Furthermore, antibiotics influence the gut microbiome, but the interrelationships between these drugs, cortisol and the microbiome are unknown. Here, we exposed the gut microbiome of rats to a multi-drug antibiotic cocktail and examined effects on circulating cortisol and inflammatory biomarker levels. Methods Male and female (M,F) Sprague-Dawley rats (aged 8 weeks) were housed with phytoestrogen-free bedding, and received a phytoestrogen-free diet with water from glass bottles. Exposed rats received vancomycin (0.5g/L), ampicillin (1g/L), neomycin (1g/L), and metronidazole (1g/L) in their water for 8 days, then returned to normal water for another 13 days. Control rats received normal water throughout the study. Stool and serum samples were collected before starting antibiotics (Abx) (baseline), on day 8 of Abx (AbxD8), and at 13 days post-Abx (PAbxD13). Circulating levels of cortisol and a panel of 12 inflammatory biomarkers were analyzed using MILLIPLEX Hormone Panels and RECYTMAG-65K multiplex panels, respectively. Stool DNA was extracted and 16S V3/V4 libraries were sequenced on an Illumina MiSeq. Operational Taxonomic Unit (OTU) clustering and taxonomic analyses were performed using CLC Microbial Genomics Module v.2.5 (Qiagen). Results A total of 31 rats (M=16, F=15) received Abx and 17 (M=9, F=8) were controls. At baseline, mean cortisol levels were similar between groups (control=34. 08±10.21ng/mL, exposed=35. 05±9.72ng/mL, P=0.96). On AbxD8, cortisol levels decreased in the exposed group relative to controls (control=29.77±9.34ng/mL, exposed=17.35±8.21ng/mL, P & lt;0. 0001), and returned to normal in the exposed group at PAbxD13 (control=33.88±16.65ng/mL, exposed=36.62±8.68ng/mL, P=0.85). Levels of all 12 inflammatory biomarkers were also decreased at AbxD8, and all except MCP1 returned to baseline levels by PAbxD13. Antibiotic exposure resulted in significant decreases in total stool DNA levels in exposed rats relative to controls on AbxD8 (P & lt;0. 0001), but returned to baseline levels by PAbxD13. Stool microbial diversity was also decreased in exposed rats on AbxD8 relative to controls (P=1e-08 and P & lt;0. 0001, respectively), and gut microbiome alterations were seen at multiple taxonomic levels. At PAbxD13, the stool microbiome of exposed rats remained perturbed, and only one phylum, Bacteroidetes, returned to baseline. Abx exposure changed associations between different phyla and levels of cortisol on AbxD8 relative to baseline, and although most of the associations reestablished at PAbxD13, the RA of phylum Proteobacteria was positively associated with levels of cortisol (R=0.243, P=0. 04), as opposed to baseline (R=-0.144, P=0.4). Conclusions Antibiotic exposure results in significant decreases in levels of cortisol as well as inflammatory biomarkers that are associated with perturbations of the gut microbiome, the majority of which returned to baseline following a 13-day antibiotic recovery period. These interrealtionships between cortisol, the gut microbiome and inflammatory biomarkers may have clinical significance. Presentation: Saturday, June 11, 2022 1:00 p.m. - 3:00 p.m.
    Type of Medium: Online Resource
    ISSN: 2472-1972
    Language: English
    Publisher: The Endocrine Society
    Publication Date: 2022
    detail.hit.zdb_id: 2881023-5
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  • 10
    In: Brain, Behavior, and Immunity, Elsevier BV, Vol. 56 ( 2016-08), p. 413-
    Type of Medium: Online Resource
    ISSN: 0889-1591
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 1462491-6
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