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Effective Early Treatment of Microcystis Exponential Growth and Microcystin Production with Hydrogen Peroxide and Hydroxyapatite
: Mitigating cyanotoxin production is essential to protecting aquatic ecosystems and public health. However, current harmful cyanobacterial bloom (HCB) control strategies have significant shortcomings. Because predicting HCBs is difficult, current HCB control strategies are employed when heavy HCBs have already occurred. Our pilot study developed an effective HCB prediction approach that is employed before exponential cyanobacterial growth and massive cyanotoxin pro‐ duction can occur. We used a quantitative polymerase chain reaction (qPCR) assay targeting the toxin‐encoding gene mcyA to signal the timing of treatment. When control measures were applied at an early growth stage or one week before the exponential growth of Microcystis aeruginosa (pre‐ dicted by qPCR signals), both hydrogen peroxide (H2O2) and the adsorbent hydroxyapatite (HAP) effectively stopped M. aeruginosa growth and microcystin (MC) production. Treatment with either H2O2 (10 mg∙L−1) or HAP (40 μm particles at 2.5 g∙L−1) significantly reduced both mcyA gene copies and MC levels compared with the control in a dose‐dependent manner. While both treatments re‐ duced MC levels similarly, HAP showed a greater ability to reduce mcyA gene abundance. Under laboratory culture conditions, H2O2 and HAP also prevented MC production when applied at the early stages of the bloom when mcyA gene abundance was below 105 copies∙mL−1
Probabilistic fuzzy neural networks and interval arithmetic techniques for forecasting equities
We develop an architecture for a neural network specifically for forecasting equities. By implementing the already successful probabilistic fuzzy neural network (PFNN) (developed by Han-Xiong Li and Zhi Liu), we are able to handle complex stochastic uncertainties. In light of the Black Scholes Merton model, we use triangular fuzzy numbers in its calculation to include the range instead of a spot price for an investment. Stock market forecasting is multi-dimensional, where time is not the only variable of interest and is non-linear. However, the stochastic gradient descent accounts for optimization in one-dimension for a convex function. We optimize the family of functions with the Hamilton-Jacobi partial differential equation to more accurately represent a non-linear and non-convex function (developed by Chaudhari et al.). In this approach, we will observe the neural network in light of the Dupire formula. Dupire continues the Black Scholes Merton model (BSM), but addresses the weakness of the volatility in the model. By observing volatility as a function of time, Dupire removes the predictable volatility smile found in the BSM model. We optimize this volatility to minimize the risk in forecasting for an optimal prediction. In a future study, we plan to analyze the program’s efficiency for forecasting stock options
2020-2021 Operating Budget
2020-2021 Operating Budget of Southern University Baton Rouge Campus
The Cade Report, Vol.1, Issue 1, June 2020
oai:digitalcommons.subr.edu:cade_report-1000https://digitalcommons.subr.edu/cade_report/1000/thumbnail.jp
The Cade Report, Vol.1, Issue 2, July-August 2020
This issue of the Cade Report features Covid protocols for reopening the library for patron safety. The Library Dean\u27s appointment to the LOUIS Board. Library-Archives Slave Narrative featured in The Advocate Newspaper. Librarian-led Information Literacy Class offering. Southern University students and faculty managing during Covid.https://digitalcommons.subr.edu/cade_report/1001/thumbnail.jp
The Cade Report, Vol.1, Issue 3, October-November, 2020
This issue of the Cade Report features librarians supporting student research during Covid using information literacy best practices. The transformation of library spaces at Cade Library. The library\u27s Archives Department features the 1960s Sit-Ins. LOUIS Consortium OER Textbook Transformation Project.https://digitalcommons.subr.edu/cade_report/1002/thumbnail.jp
Southern University and A & M College 2019-2023 Graduate School Catalog
Southern University and A & M College 2019-2023 Graduate School Cataloghttps://digitalcommons.subr.edu/subr_ccat/1037/thumbnail.jp
Southern University and A & M College 2017-2020 Catalog
https://digitalcommons.subr.edu/subr_ccat/1000/thumbnail.jp
2017-2018 Operating Budget
2017-2018 Operating Budget of Southern University Baton Rouge Campus
2016-2017 Revised Operating Budget Request
Southern University Law Center 2017-2018. Include: Board of Regents Form BOR 1-13B