Spot blotch, caused by Bipolaris sorokiniana, severely limits global barley production. This study characterized five isolates from Bolu, Türkiye, and screened 95 barley cultivars for resistance to the most aggressive isolate (B_BS01) using a 1–9 disease severity scale. Cultivars Gazda, Dara, Hilal, Nonius, and Bravo exhibited the highest resistance (Disease severity index: 35.00 %–36.67 %), forming a statistically distinct group. A quantitative PCR assay targeting the LSU rRNA locus of B. sorokiniana was developed, detecting pathogen DNA down to 0.1 pg with high specificity. This assay quantified starkly different colonization dynamics: pathogen DNA was effectively suppressed in resistant cultivars (Dara, Gazda), while it proliferated rapidly in susceptible ones (Meriç, Bülbül), resulting in up to 15-fold higher pathogen loads by 4 days post-inoculation. Temporal expression profiling of defense-related genes (PR1, PR2, PR3, PR5, PR10, CSD, LOX, PAL) was conducted in Dara and Meriç. Notably, PR1 and PR10 were more strongly induced in Meriç (17.06- and 10.56-fold at 72 h post-inoculation), whereas PR3 was preferentially upregulated in Dara. PR5 and LOX were downregulated in both cultivars; CSD showed moderate induction, and PR2 remained relatively stable. The combination of a sensitive qPCR assay and gene expression profiling provides robust tools for resistance screening and supports targeted breeding for spot blotch resistance in barley.

Hey fighting Tigers! Much like a running back through a wide-open hole, LSU Tigers comes charging through with colorful, fact-filled storytelling detailing the history, legacy, and prestige of the Louisiana State University football program. Aligned to Common Core Standards and correlated to state standards. SportsZone is an imprint of Abdo Publishing, a division of ABDO.

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Objectives: To describe a partnership between CrescentCare and Louisiana State University (LSU) School of Medicine that created a new Sexual Health Clinic in New Orleans, and to assess the health services that patients sought and received at the new clinic in the opening months of its creation. Methods: When the new clinic opened, signs were posted on New Orleans streets, flyers were placed in selected emergency rooms and healthcare facilities, radio and bus stop advertisements were purchased, and the CrescentCare website was updated with the addition of a page for the new clinic. The new clinic opened on 15 June 2015. A survey questionnaire was administered to 706 patients who visited the new clinic from 1 October 2015 to 30 December 2015 to capture 3 quality improvement patient indicators. Their medical records were retrospectively reviewed to assess the services they came to seek at the new clinic. Results: Patients were 64.7% men, 35.0% women, 0.3% transgender women, 64.9% black, 94.6% non-Hispanic, 35.4% men who have sex with women, 23.4% men who have sex with men, and 29.5% women who have sex with men. Patients most frequently learned about the new clinic from friends. They mostly chose the new clinic because of the walk-in availability of services and the convenience of its location. Reasons for the visits included sexually transmitted infection (STI) symptoms, STI screening, STI treatment, STI contact, and laboratory test results. Past STI histories were highly frequent, as well as the prevalence of positive STI tests the day of the visit. Conclusions: The LSU-CrescentCare Sexual Health Center is a model of a successful community-driven, public-private collaborative initiative aimed at ensuring that in the New Orleans region, everyone has an equal opportunity to achieve their best possible sexual health, regardless of race, ethnicity, sexual orientation, income, education, or zip code. [ABSTRACT FROM AUTHOR]

In this paper, performance analysis of the LSU-EKF estimator, which proposed in our previous work, is conducted in detail. In the proposed method, the coarse parameter estimates of PPS are achieved through the LSU estimator with a few samples. However, these coarse estimates are for the purpose of initializing the EKF. Monte-Carlo simulations obviously show that the computation complexity of the LSU-EKF estimator is much less than that of the LSU estimator, with very small performance loss. Like the LSU estimator, the proposed algorithm is capable of working over the entire identifiable region. In addition, in the EKF process, the accurate estimated results can be output point-by-point, which can be useful in practical applications.

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