University of North Carolina at Greensboro

About: University of North Carolina at Greensboro is a education organization based out in Greensboro, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 5481 authors who have published 13715 publications receiving 456239 citations. The organization is also known as: UNCG & UNC Greensboro.

Self-Regulated Learning: The Educational Legacy of Paul R. Pintrich.

Abstract: Paul R. Pintrich was a leading figure in the field of self-regulated learning. This article discusses some of Paul's major contributions: (a) formulating a conceptual framework for studying self-regulated learning comprising phases (forethought, planning, activation; monitoring; control; reaction, reflection) and areas for self-regulation (cognition, motivation, behavior, context); (b) emphasizing the role of motivation in self-regulation; (c) conducting research linking learning, motivation, and self-regulation; (d) exploring the development of and interventions to enhance self-regulatory processes; (e) investigating how the complexities of classrooms and schools affect self-regulation; and (f) helping to develop the MSLQ to assess self-regulated learning, cognition, and motivation. Paul's writings provide ideas for future research on self-regulated learning. Paul Pintrich left a rich legacy through his theoretical elaboration, exemplary research, dissemination and advocacy, and personal and professional...

Fungal Identification Using Molecular Tools: A Primer for the Natural Products Research Community

Abstract: Fungi are morphologically, ecologically, metabolically, and phylogenetically diverse. They are known to produce numerous bioactive molecules, which makes them very useful for natural products researchers in their pursuit of discovering new chemical diversity with agricultural, industrial, and pharmaceutical applications. Despite their importance in natural products chemistry, identification of fungi remains a daunting task for chemists, especially those who do not work with a trained mycologist. The purpose of this review is to update natural products researchers about the tools available for molecular identification of fungi. In particular, we discuss (1) problems of using morphology alone in the identification of fungi to the species level; (2) the three nuclear ribosomal genes most commonly used in fungal identification and the potential advantages and limitations of the ITS region, which is the official DNA barcoding marker for species-level identification of fungi; (3) how to use NCBI-BLAST search for DNA barcoding, with a cautionary note regarding its limitations; (4) the numerous curated molecular databases containing fungal sequences; (5) the various protein-coding genes used to augment or supplant ITS in species-level identification of certain fungal groups; and (6) methods used in the construction of phylogenetic trees from DNA sequences to facilitate fungal species identification. We recommend that, whenever possible, both morphology and molecular data be used for fungal identification. Our goal is that this review will provide a set of standardized procedures for the molecular identification of fungi that can be utilized by the natural products research community.

Families of Dothideomycetes

Abstract: Dothideomycetes comprise a highly diverse range of fungi characterized mainly by asci with two wall layers (bitunicate asci) and often with fissitunicate dehiscence. Many species are saprobes, with many asexual states comprising important plant pathogens. They are also endophytes, epiphytes, fungicolous, lichenized, or lichenicolous fungi. They occur in terrestrial, freshwater and marine habitats in almost every part of the world. We accept 105 families in Dothideomycetes with the new families Anteagloniaceae, Bambusicolaceae, Biatriosporaceae, Lichenoconiaceae, Muyocopronaceae, Paranectriellaceae, Roussoellaceae, Salsugineaceae, Seynesiopeltidaceae and Thyridariaceae introduced in this paper. Each family is provided with a description and notes, including asexual and asexual states, and if more than one genus is included, the type genus is also characterized. Each family is provided with at least one figure-plate, usually illustrating the type genus, a list of accepted genera, including asexual genera, and a key to these genera. A phylogenetic tree based on four gene combined analysis add support for 64 of the families and 22 orders, including the novel orders, Dyfrolomycetales, Lichenoconiales, Lichenotheliales, Monoblastiales, Natipusillales, Phaeotrichales and Strigulales. The paper is expected to provide a working document on Dothideomycetes which can be modified as new data comes to light. It is hoped that by illustrating types we provide stimulation and interest so that more work is carried out in this remarkable group of fungi.

Diagnostic measurement: Theory, methods, and applications.

Abstract: Index of Notation 1. Introduction I. Theory: Principles of Diagnostic Measurement with DCMs 2. Implementation, Design, and Validation of Diagnostic Assessments 3. Diagnostic Decision Making with DCMs 4. Attribute Specification for DCMs II. Methods: Psychometric Foundations of DCMs 5. The Statistical Nature of DCMs 6. The Statistical Structure of Core DCMs 7. The LCDM Framework 8. Modeling the Attribute Space in DCMs III. Applications: Utilizing DCMs in Practice 9. Estimating DCMs Using Mplus 10. Respondent Parameter Estimation in DCMs 11. Item Parameter Estimation in DCMs 12. Evaluating the Model Fit of DCMs 13. Item Discrimination Indices for DCMs 14. Accommodating Complex Sampling Designs in DCMs Glossary