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Institution

Chaminade University of Honolulu

EducationHonolulu, Hawaii, United States
About: Chaminade University of Honolulu is a education organization based out in Honolulu, Hawaii, United States. It is known for research contribution in the topics: Population & Experiential learning. The organization has 164 authors who have published 223 publications receiving 5381 citations.


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Posted ContentDOI
09 Oct 2021-bioRxiv
TL;DR: In this article, the authors evaluated genetic relatedness in almost 600 colonies of Montipora capitata across 30 environmentally characterized sites in K[a]neohe Bay, Oahu, Hawaii using low-depth restriction digest associated sequencing.
Abstract: Spatial genetic structure (SGS) is important to a populations ability to adapt to environmental change. For species that reproduce both sexually and asexually, the relative contribution of each reproductive mode has important ecological and evolutionary implications because asexual reproduction can have a strong effect on SGS. Reef building corals reproduce sexually, but many species also propagate asexually under certain conditions. In order to understand SGS and the relative importance of reproductive mode across environmental gradients, we evaluated genetic relatedness in almost 600 colonies of Montipora capitata across 30 environmentally characterized sites in K[a]neohe Bay, Oahu, Hawaii using low-depth restriction digest associated sequencing. Clonal colonies were relatively rare overall but influenced SGS. Clones were located significantly closer to one another spatially than average colonies and were more frequent on sites where wave energy was relatively high, suggesting a strong role of mechanical breakage in their formation. Excluding clones, we found no evidence of isolation by distance within sites or across the bay. Several environmental characteristics were significant predictors of the underlying genetic variation (including degree heating weeks, time spent above 30{degrees}C, depth, sedimentation rate and wave height); however, they only explained 5% of this genetic variation. Our results show that colony fragmentation contributes to the ecology of M. capitata at local scales and that genetic diversity is maintained despite strong environmental gradients in a highly impacted ecosystem, suggesting potential for broad adaptation or acclimatization in this population.

7 citations

Posted ContentDOI
07 Jun 2019-bioRxiv
TL;DR: This work expands on the understanding of the types of microbes capable of colonizing human bone and contributing to human skeletal DNA degradation and Random forest models were minimally successful in identifying microbes related to patterns of DNA preservation.
Abstract: Microbial colonization of bone is an important mechanism of post-mortem skeletal degradation. However, the types and distributions of bone and tooth colonizing microbes are not well characterized. It is unknown if microbial communities vary in abundance or composition between bone element types, which could help explain patterns of human DNA preservation. The goals of the present study were to (1) identify the types of microbes capable of colonizing different human bone types and (2) relate microbial abundances, diversity, and community composition to bone type and human DNA preservation. DNA extracts from 165 bone and tooth samples from three skeletonized individuals were assessed for bacterial loading and microbial community composition and structure. Random forest models were applied to predict operational taxonomic units (OTUs) associated with human DNA concentration. Dominant bacterial bone colonizers were from the phyla Proteobacteria (36%), Actinobacteria (23%), Firmicutes (13%), Bacteroidetes (12%), and Planctomycetes (4.4%). Eukaryotic bone colonizers were from Ascomycota (40%), Apicomplexa (21%), Annelida (19%), Basidiomycota (17%), and Ciliophora (14%). Bacterial loading was not a significant predictor of human DNA concentration in two out of three individuals. Random forest models were minimally successful in identifying microbes related to patterns of DNA preservation, complicated by high variability in community structure between individuals and body regions. This work expands on our understanding of the types of microbes capable of colonizing human bone and contributing to human skeletal DNA degradation.

7 citations

Journal ArticleDOI
TL;DR: Zhang et al. as mentioned in this paper conducted a field experiment in China using 9-12-year-old children and collected 672 observations to understand how the institutionally imposed hukou identity impacts an individual's sense of fairness in the ultimatum game.
Abstract: The hukou system is a mandatory household registration system in China that assigns an individual either an urban/non-agricultural hukou or a rural/agricultural hukou based on one’s birthplace. This system favors urban residents and discriminates against rural residents in accessing state-owned resources such as employment, education, health care, and housing. To better understand how this institutionally imposed hukou identity impacts an individual’s sense of fairness in the ultimatum game, we conducted a field experiment in China using 9–12-year-old children and collected 672 observations. Subjects played a one-shot ultimatum game to allocate 20 yuan in groups of two. We employed a 2 (hukou salience) $$\times $$ 2 (proposer’s hukou type) $$\times $$ 2 (responder’s hukou type) experiment design and used the strategic method ultimatum game. We primed our subjects with their hukou identity before they made their decisions in the experiment. Results of this study show that hukou salience mainly affects rural hukou subjects, who belong to the perceived less-favored social group. On one hand, when the hukou identity is made salient, rural hukou proposers decrease their amount offered regardless of their responder’s hukou type. On the other hand, rural hukou responders expect higher offers from their urban hukou proposers when the hukou identity is revealed. We interpret these results as that rural hukou subjects tend to seek compensations for their perceived hukou inferiority to achieve fair distributions.

7 citations

02 Mar 2015
TL;DR: In this paper, a case study examines a two-year project on implementing iPads by 15 teachers from Hawaii preschools and finds that previous assumptions about professional development need to be updated.
Abstract: In the rapidly changing context of highly ubiquitous mobile technologies, past assumptions about technology use and adoption within early childhood education are continuously evolving. This case study examines a two-year project on implementing iPads by 15 teachers from Hawaii preschools. Using a multiple methods case study approach and theoretical foundation of adoption theory, we found that previous assumptions about professional development need to be updated. Rather than questions of should technology be used, increasingly the concern is how to assist early childhood educators with the tools, knowledge, and strategies required to respond to such rapid shifts in the digital landscape.

7 citations

Journal ArticleDOI
14 Jul 2021
TL;DR: In this article, the human bone microbial decomposer community was characterized to determine whether microbial succession is a marker for postmortem interval (PMI) during forensic investigations in which human skeletal remains are discovered.
Abstract: The bones of decomposing vertebrates are colonized by a succession of diverse microbial communities. If this succession is similar across individuals, microbes may provide clues about the postmortem interval (PMI) during forensic investigations in which human skeletal remains are discovered. Here, we characterize the human bone microbial decomposer community to determine whether microbial succession is a marker for PMI. Six human donor subjects were placed outdoors to decompose on the soil surface at the Southeast Texas Applied Forensic Science facility. To also assess the effect of seasons, three decedents were placed each in the spring and summer. Once ribs were exposed through natural decomposition, a rib was collected from each body for eight time points at 3 weeks apart. We discovered a core bone decomposer microbiome dominated by taxa in the phylum Proteobacteria and evidence that these bone-invading microbes are likely sourced from the surrounding decomposition environment, including skin of the cadaver and soils. Additionally, we found significant overall differences in bone microbial community composition between seasons. Finally, we used the microbial community data to develop random forest models that predict PMI with an accuracy of approximately ±34 days over a 1- to 9-month time frame of decomposition. Typically, anthropologists provide PMI estimates based on qualitative information, giving PMI errors ranging from several months to years. Previous work has focused on only the characterization of the bone microbiome decomposer community, and this is the first known data-driven, quantitative PMI estimate of terrestrially decomposed human skeletal remains using microbial abundance information. IMPORTANCE Microbes are known to facilitate vertebrate decomposition, and they can do so in a repeatable, predictable manner. The succession of microbes in the skin and associated soil can be used to predict time since death during the first few weeks of decomposition. However, when remains are discovered after months or years, often the only evidence are skeletal remains. To determine if microbial succession in bone would be useful for estimating time since death after several months, human subjects were placed to decompose in the spring and summer seasons. Ribs were collected after 1 to 9 months of decomposition, and the bone microbial communities were characterized. Analysis revealed a core bone decomposer microbial community with some differences in microbial assembly occurring between seasons. These data provided time since death estimates of approximately ±34 days over 9 months. This may provide forensic investigators with a tool for estimating time since death of skeletal remains, for which there are few current methods.

7 citations


Authors
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
202117
202023
201917
201814
201720