University of North Florida Showcase

What's Changed Adds dataseries to rruff reader and writer by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/70 Switch pypi order during CI by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/67 Add dataseries test by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/68 Adds scidata dataseries to jcamp reader and writer by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/69 Split release yamls by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/71 Fixes the PyPi badge in README by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/72 Moves pytest-cov to a dev dependency by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/75 Update poetry version by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/77 Adds RRUFF file format, bumps pytest and poetry versions by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/81 updates to clean function and some other methods by @stuchalk in https://github.com/chalklab/SciDataLib/pull/78 Bumps version 0.2.6 alpha to 6 by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/83 Bump to v0.3.0-alpha.1 in pyproject toml by @marshallmcdonnell in https://github.com/chalklab/SciDataLib/pull/84 Full Changelog: https://github.com/chalklab/SciDataLib/compare/v0.2.5...v0.3.0

Abstract Background The role of dietary intake on precocious puberty remains unclear. This study aimed to investigate the association between the amount and frequency of dietary intake and the risk of precocious puberty in Chinese girls. Methods In this case-control study, we enrolled 185 precocious puberty girls and 185 age-matched controls. Their dietary intake was assessed through a semi-quantitative food frequency questionnaire. Their sociodemographic and lifestyle data were collected. The associations between dietary intake and risk of precocious puberty were assessed by conditional logistic regression models. Results After multivariate adjustment, consuming a higher amount of red meat was associated with higher precocious puberty risk (OR = 2.74, 95% CI: 1.25–6.02), while a higher frequency of fruit ( P for trend = 0.024) and amount of vegetable intake was associated with a lower risk of precocious puberty (P for trend = 0.002). The high vegetable and protein dietary pattern was significantly negatively associated with precocious puberty (OR = 0.78, 95% CI: 0.63–0.97), whereas the high animal food and fruits dietary pattern was remarkably positively associated with precocious puberty (OR = 1.36, 95% CI: 1.09–1.69), after adjusting for age and body mass index. Conclusions High vegetable and protein dietary pattern is a protective factor against precocious puberty, while high animal food and fruits dietary pattern is a risk factor for precocious puberty in Chinese girls. Attentions should be paid to a reasonable intake of red meat, eggs, and fruits in children’s daily diet, increase their intake of vegetables, in order to reduce the risk of precocious puberty.

Abstract Background The role of dietary intake on precocious puberty remains unclear. This study aimed to investigate the association between the amount and frequency of dietary intake and the risk of precocious puberty in Chinese girls. Methods In this case-control study, we enrolled 185 precocious puberty girls and 185 age-matched controls. Their dietary intake was assessed through a semi-quantitative food frequency questionnaire. Their sociodemographic and lifestyle data were collected. The associations between dietary intake and risk of precocious puberty were assessed by conditional logistic regression models. Results After multivariate adjustment, consuming a higher amount of red meat was associated with higher precocious puberty risk (OR = 2.74, 95% CI: 1.25–6.02), while a higher frequency of fruit ( P for trend = 0.024) and amount of vegetable intake was associated with a lower risk of precocious puberty (P for trend = 0.002). The high vegetable and protein dietary pattern was significantly negatively associated with precocious puberty (OR = 0.78, 95% CI: 0.63–0.97), whereas the high animal food and fruits dietary pattern was remarkably positively associated with precocious puberty (OR = 1.36, 95% CI: 1.09–1.69), after adjusting for age and body mass index. Conclusions High vegetable and protein dietary pattern is a protective factor against precocious puberty, while high animal food and fruits dietary pattern is a risk factor for precocious puberty in Chinese girls. Attentions should be paid to a reasonable intake of red meat, eggs, and fruits in children’s daily diet, increase their intake of vegetables, in order to reduce the risk of precocious puberty.

Bhatia, Lim and Yamazaki obtained results on the norm minimality of the Kubo-Ando Heinz means of positive semidefinite matrices. Namely, they proved that |||A♯αB+A♯1−αB|||≤|||AαB1−α+A1−αBα|||,for α∈(0,1), in the case of the Schatten 1-norm or 2-norm. In this article, we refine these results via the matrix function in the definition of the Rényi divergence. We show that four different types of inequalities hold, under certain conditions, for Schatten 1- and 2-norms.

Bhatia, Lim and Yamazaki obtained results on the norm minimality of the Kubo-Ando Heinz means of positive semidefinite matrices. Namely, they proved that |||A♯αB+A♯1−αB|||≤|||AαB1−α+A1−αBα|||,for α∈(0,1), in the case of the Schatten 1-norm or 2-norm. In this article, we refine these results via the matrix function in the definition of the Rényi divergence. We show that four different types of inequalities hold, under certain conditions, for Schatten 1- and 2-norms.

The IUPAC Compendium of Chemical Terminology (the "Gold Book") is an aggregation of the formally defined terms in the International Union of Pure and Applied Chemistry's Recommendations published in the journal of Pure and Applied Chemistry. The talk highlights the status of the Gold Book and the current major update, machine access to the definitions via an API, and the inclusion of these terms in domain ontologies.

These data are the sample information for each of the samples collected for metabarcoding of 16S and rbcL to describe Cyanobacterial and diatom diversity, respectively, in three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Sample data are for sequenced samples and include their associated water parameter information that was collected simultaneously. Each of these sites are high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats, and further explored the bacterial communities as well. Our results provide novel information on microbial mat community composition, and present evidence that microbial biogeography influences these unique communities.

Using the code in this file, we will process rbcL metabarcoding data using the Dada2 pipeline. (DATA REDUCTION STAGE). Our goal is to remove primers, and then use the DADA2 algorithm to assess read quality, denoise, and merge our sequences. Finally, we will assign our sequences to ASVs and assign these to taxonomy using DADA2 and a reference database.

Using the code in this file, we will process 16S metabarcoding data using the Dada2 pipeline. (DATA REDUCTION STAGE). Our goal is to use the DADA2 algorithm to assess read quality, denoise, and merge our sequences. Finally, we will assign our sequences to ASVs and assign these to taxonomy using DADA2 and a reference database.

These data are the information for each of the cultures generated from samples collected from three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Data are for cultures sequenced using Sanger sequencing and include taxonomic identification, location and water parameter information from samples used to develop the cultures, and growth medium. Each of these cultures was developed from high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats. Sequences from these cultures contribute to tying molecular data to morphologically identified isolates, providing a bridge between these two data types that can be used to improve metabarcoding analyses.