The use of a benign fast-growing cyanobacterial species to control microcystin synthesis from .

Introduction: (), one of the most prevalent blue-green algae in aquatic environments, produces microcystin by causing harmful algal blooms (HAB). This study investigated the combined effects of nutrients and cyanobacterial subpopulation competition on synthesizing microcystin-LR.

Method: In varied nitrogen and phosphorus concentrations, cyanobacterial coculture, and algicidal DCMU presence, the growth was monitored by optical density analysis or microscopic counting, and the microcystin production was analyzed using high-performance liquid chromatography-UV.

Patient-Reported Outcome Measures for Mohs Reconstruction: A Systematic Review.

Objective: Mohs micrographic surgery (MMS) and subsequent reconstructive procedures for the treatment of facial nonmelanoma skin cancers (NMSCs) significantly impact quality of life (QoL). A validated patient-reported outcome measure (PROM) for patients who undergo Mohs reconstruction is not yet established. This study aims to systematically assess the quality of existing PROMs to determine their effectiveness in capturing the challenges faced after Mohs reconstruction for facial NMSC.

Antimicrobial properties of copper tetraamine fluoride.

Background: A stable copper tetraamine fluoride (CTF) with low cytotoxicity has been developed for dental use.

Objective: To investigate the antimicrobial effects of CTF against common microbes associated with dental caries and periodontal disease.

Method: The minimum inhibitory concentrations (MIC) and minimum bactericidal/fungicidal concentrations (MBC/MFC) were used to evaluate the antimicrobial effects of CTF against eight common bacteria and one fungus associated with dental caries and periodontal disease.

MAGMA: Microbial and Algal Growth Modeling Application.

Kinetic modeling of biochemical reactions and bioreactor systems can enhance and quantify knowledge gained from cell culture experiments and has many applications in bioprocess design and optimization. The Microbial and Algal Growth Modeling Application (MAGMA) is a user-friendly MATLAB-based software for streamlining the development of kinetic models for various bioreactor systems. This study details the MAGMA workflow by demonstrating the creation of kinetic models with systems of ordinary differential equations (ODEs), model fitting by solving inverse problems, statistical evaluation of model fitting quality, and visual display of simulation results.