Acinetobacter baumannii (A. baumannii) is an opportunistic pathogen responsible for a range of severe infections and nosocomial outbreaks. Phage-based therapy and biocontrol represent effective strategies to combat the prevalence of A. baumannii. This study reports a novel phage, BUCT775, capable of specifically lysing A. baumannii, and investigates its physiological properties, genomic characteristics, in vivo therapeutic efficacy, and environmental disinfection performance. Phage BUCT775 is a podovirus that forms clear, well-defined plaques with an average diameter of 2.5 ± 0.52 mm. It exhibits a broad range of temperature stability (4–55 °C) and pH stability (pH 3–12). The optimal multiplicity of infection (MOI) for phage BUCT775 is 0.01. At an MOI of 0.01, it demonstrates a latent period of approximately 10 min and exhibits a high burst size. Genomic sequencing and bioinformatics analysis revealed that phage BUCT775 belongs to the order Caudoviricetes and the family Autographiviridae. Its genome has a G + C content of 39.3% and is not known to contain virulence genes or antibiotic resistance genes. Phage BUCT775 exhibited significant therapeutic effects on A. baumannii-infected G. mellonella larvae, increasing the 120 h survival rate of the larvae by 20%. Additionally, phage BUCT775 efficiently eliminated A. baumannii in the environment, with an average clearance rate exceeding 98% within 3 h. These studies suggest that phage BUCT775 holds significant potential for application in phage therapy and environmental disinfection.

In order to improve the evaluation accuracy of political classroom teaching quality in universities, a DA-BP-based evaluation method of political classroom teaching quality in universities is proposed. First of all, in constructing the teaching quality evaluation system of university political courses using the framework of behavior theory, the system consists of 4 primary indicators and 15 secondary indicators. Second, the university’s 2008–2013 annual teaching quality assessment scores for the teaching quality of political courses were used as the input data of the DA-BP network, and the 2013–2016 teaching evaluation scores were used as the algorithm’s test data. In order to test the prediction accuracy of the DA-BP algorithm, it is compared with the GA-BP algorithm, PSO-BP algorithm, and BP algorithm. The research results show that DA-BP has higher prediction accuracy than other algorithms and can better evaluate the teaching quality of political courses.