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Institution

University of North Texas

EducationDenton, Texas, United States
About: University of North Texas is a education organization based out in Denton, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 11866 authors who have published 26984 publications receiving 705376 citations. The organization is also known as: Fight, North Texas & UNT.


Papers
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Journal ArticleDOI
TL;DR: Tashakkori and Teddlie as discussed by the authors have written an editorial for the Journal of Mixed Methods Research about mixed methodology and its trajectory, based on their experiences with the second edition of the Handbook of mixed methods in the Social and Behavioral Sciences (hereafter referred to as the Handbook).
Abstract: When we were asked to write an editorial for Journal of Mixed Methods Research, the request came as an invitation to share some of our ‘‘insights’’ about mixed methodology and its trajectory, based on our experiences with the second edition of the Handbook of Mixed Methods in the Social and Behavioral Sciences (hereafter referred to as the Handbook; Tashakkori & Teddlie, 2010). In this editorial, we share with our current readers some of the personal reflections, intellectual challenges, and professional struggles that we experienced during what we have called ‘‘the journey.’’ It is hoped that these reflections will summarize and expand on the comments we made in the Preface and Epilogue of the Handbook. We chose the title for this editorial for at least two reasons. One is that we would like to share our own reflections as human researchers, hoping to demonstrate that we have evolved from technocrats to methodologists. Second, we hope to convey our belief in the fact that human researchers are, more than anything else, human themselves. As such, they enjoy the capabilities of human problem solvers, while trying to identify and reduce the perils and pitfalls that are at times evident in our day-to-day problem solving. We will suggest that mixed methods capitalize on these capabilities, while also increasing the potential for credible and trustworthy conclusions.

181 citations

Journal ArticleDOI
11 May 2012-PLOS ONE
TL;DR: The results suggest that the penis and the urethra can be colonized by a variety of BV-associated taxa and that some of these colonizations result from partnered sexual activity.
Abstract: Lactobacillus-dominated vaginal microbiotas are associated with reproductive health and STI resistance in women, whereas altered microbiotas are associated with bacterial vaginosis (BV), STI risk and poor reproductive outcomes. Putative vaginal taxa have been observed in male first-catch urine, urethral swab and coronal sulcus (CS) specimens but the significance of these observations is unclear. We used 16 S rRNA sequencing to characterize the microbiota of the CS and urine collected from 18 adolescent men over three consecutive months. CS microbiotas of most participants were more stable than their urine microbiotas and the composition of CS microbiotas were strongly influenced by circumcision. BV-associated taxa, including Atopobium, Megasphaera, Mobiluncus, Prevotella and Gemella, were detected in CS specimens from sexually experienced and inexperienced participants. In contrast, urine primarily contained taxa that were not abundant in CS specimens. Lactobacilllus and Streptococcus were major urine taxa but their abundance was inversely correlated. In contrast, Sneathia, Mycoplasma and Ureaplasma were only found in urine from sexually active participants. Thus, the CS and urine support stable and distinct bacterial communities. Finally, our results suggest that the penis and the urethra can be colonized by a variety of BV-associated taxa and that some of these colonizations result from partnered sexual activity.

181 citations

Journal ArticleDOI
TL;DR: In this article, the authors developed a comprehensive model of supply chain and decision-making complexity that provides an understanding of the drivers of supply-chain complexity and strategies to manage supply chain complexity and outcomes.
Abstract: Purpose – The objective of this paper is to develop a comprehensive model of supply chain and supply chain decision‐making complexity that provides an understanding of the drivers of supply chain complexity and strategies to manage supply chain and supply chain decision‐making complexity and outcomes.Design/methodology/approach – Grounded theory methodology is employed to build a theory of supply chain and supply chain decision‐making complexity and develop propositions related to antecedents, moderators, and outcomes of supply chain complexity. In addition, extensive literature review and informal interactions with a number of supply chain professionals have been used to validate the theory.Findings – In addition to identifying the antecedents of supply chain complexity, the authors explore strategic, human cognitive ability, and tactical moderators for managing supply chain complexity.Research limitations/implications – The comprehensive framework presented in the paper builds a theory of supply chain a...

181 citations

Journal ArticleDOI
TL;DR: A review of the International Union for the Conservation of Nature's Red List to examine the conservation status, distributions, threats, and conservation recommendations for all 557 raptor species is presented in this article.

180 citations

Journal ArticleDOI
TL;DR: A low-cost indoor air quality monitoring wireless sensor network system developed using Arduino, XBee modules, and micro gas sensors that is capable of collecting six air quality parameters from different locations simultaneously.

180 citations


Authors

Showing all 12053 results

NameH-indexPapersCitations
Steven N. Blair165879132929
Scott D. Solomon1371145103041
Richard A. Dixon12660371424
Thomas E. Mallouk12254952593
Hong-Cai Zhou11448966320
Qian Wang108214865557
Boris I. Yakobson10744345174
J. N. Reddy10692666940
David Spiegel10673346276
Charles A. Nelson10355740352
Robert J. Vallerand9830141840
Gerald R. Ferris9333229478
Michael H. Abraham8972637868
Jere H. Mitchell8833724386
Alan Needleman8637339180
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202390
2022300
20211,796
20201,769
20191,645
20181,484