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Abstract A system to obtain vehicular energy‐use and emissions in transient traffic is proposed. It operates at a microscopic 1‐s time scale, capturing critical stop‐and‐go dynamics in a controlled and repeatable computational environment. This allowed the definition of a sensitivity function linking energy‐use to traffic flow, providing an additional comparison parameter. To obtain the dynamics data, crucial for transient traffic modeling implementation and validation, a video‐tracking technique is used to overcome velocimeter and GPS data shortcomings. This approach allowed to observe and reproduce a traffic scene and agreed with a M/D/n queuing traffic model. Once the system contains precise dynamics, it can be implemented for traffic scenarios such as intersections, school areas, or future road projects. Any simulated vehicular technology can be incorporated into the analysis. A case study was implemented using 1000 electric (EV) and combustion engine vehicles (CV) interacting with trucks, buses, and motorcycles, while monitoring individual vehicular systems. These included the powertrain and regenerative braking to obtain energy‐use and emissions. EVs proved to be not only more efficient, but less sensitive to traffic buildup than CVs. The techniques presented here, lend themselves to technological design and evaluation and allows testing real‐life vehicular systems for sustainable traffic and energy planning.

Pseudomonas aeruginosa has different resistant mechanisms including the constitutive MexAB-OprM efflux pump. Single nucleotide polymorphisms (SNPs) in the mexR, nalC, and nalD repressors of this efflux pump can contribute to antimicrobial resistance; however, it is unknown whether these changes are mainly related to genetic lineages or environmental pressure. This study identifies SNPs in the mexR, nalC, and nalD genes in clinical and environmental isolates of P. aeruginosa (including high-risk clones). Ninety-one P. aeruginosa strains were classified according to their resistance to antibiotics, typified by multilocus sequencing, and mexR, nalC, and nalD genes sequenced for SNPs identification. The mexAB-oprM transcript expression was determined. The 96.7% of the strains were classified as multidrug resistant. Eight strains produced serine carbapenemases, and 11 strains metallo-β-lactamases. Twenty-three new STs and high-risk clones ST111 and ST233 were identified. SNPs in the mexR, nalC, and nalD genes revealed 27 different haplotypes (patterns). Sixty-two mutational changes were identified, 13 non-synonymous. Haplotype 1 was the most frequent (n = 40), and mainly identified in strains ST1725 (33/40), with 57.5% pan drug resistant strains, 36.5% extensive drug resistant and two strains exhibiting serin-carbapenemases. Haplotype 12 (n = 9) was identified in ST233 and phylogenetically related STs, with 100% of the strains exhibiting XDR and 90% producing metallo-β-lactamases. Haplotype 5 was highly associated with XDR and related to dead when compared to ST1725 and ST233 (RRR 23.34; p = 0.009 and RRR 32.01; p = 0.025). A significant relationship between the mexR-nalC-nalD haplotypes and phylogenetically related STs was observed, suggesting mutational changes in these repressors are highly maintained within genetic lineages. In addition, phylogenetically related STs showed similar resistant profiles; however, the resistance was (likely or partly) attributed to the MexAB-OprM efflux pump in 56% of the strains (only 45.05% showed mexA overtranscription), in the remaining strains the resistance could be attributed to carbapenemases or mechanisms including other pumps, since same SNPs in the repressor genes gave rise to different resistance profiles.

Recent multidrug resistance in Pseudomonas aeruginosa has favoured the adaptation and dissemination of worldwide high-risk strains. In June 2018, 15 P. aeruginosa strains isolated from patients and a contaminated multi-dose meropenem vial were characterized to assess their association to an outbreak in a Mexican paediatric hospital. The strains were characterized by antibiotic susceptibility profiling, virulence factors’ production, and biofilm formation. The clonal relationship among isolates was determined with pulse-field gel electrophoresis (PFGE) and multi-locus sequence typing (MLST) sequencing. Repressor genes for the MexAB-OprM efflux pump were sequenced for haplotype identification. Of the strains, 60% were profiled as extensively drug-resistant (XDR), 33% as multidrug-resistant (MDR), and 6.6% were classified as sensitive (S). All strains presented intermediate resistance to colistin, and 80% were sensitive to aztreonam. Pyoverdine was the most produced virulence factor. The PFGE technique was performed for the identification of the outbreak, revealing eight strains with the same electrophoretic pattern. ST235 and ten new sequence types (STs) were identified, all closely related to ST233. ST3241 predominated in 26.66% of the strains. Twenty-five synonymous and seventeen nonsynonymous substitutions were identified in the regulatory genes of the MexAB-OprM efflux pump, and nalC was the most variable gene. Six different haplotypes were identified. Strains from the outbreak were metallo-β-lactamases and phylogenetically related to the high-risk clone ST233.