Don't mind the gap: reframing the Perren strain rule for fracture healing using insights from virtual mechanical testing.

Aims: The "2 to 10% strain rule" for fracture healing has been widely interpreted to mean that interfragmentary strain greater than 10% predisposes a fracture to nonunion. This interpretation focuses on the gap-closing strain (axial micromotion divided by gap size), ignoring the region around the gap where osteogenesis typically initiates. The aim of this study was to measure gap-closing and 3D interfragmentary strains in plated ovine osteotomies and associate local strain conditions with callus mineralization.

Prevalence of Bacterial Pathogens Isolated from Canines with Pyoderma and Otitis Externa in Korea: A Systematic Review and Meta-Analysis.

Bacterial skin infections, particularly pyoderma and otitis externa, are widespread in dogs, primarily caused by and species. This study evaluates the prevalence and types of bacterial pathogens in affected dogs in South Korea using a meta-analytical approach. Following the PRISMA guidelines, five electronic databases were searched for relevant studies published between 1990 and 2024.

Revealing antimicrobial resistance profile and associated factors of isolated from clinical, environmental, and seafood samples across asia: A systematic review and meta-analysis.

The escalating antimicrobial resistance (AMR) in highly virulent poses a significant public health concern in Asia. Profiling the antibiogram of this pathogen is crucial for revealing its complex AMR patterns and guiding the selection of appropriate medications. Although previous studies have provided valuable insights regarding AMR, they are constrained by limited sample diversity, inconsistent methodologies, and insufficient regional data.

Enhancement of nitrogen transformation in media-based aquaponics systems using biochar and zerovalent iron.

Aquaponics combines aquaculture and hydroponics, offering methods to produce fish and plants. However, optimization of its nitrogen transformation processes, which would lead to higher nitrogen utilization efficiency (NUE) and lower nitrous oxide (NO) emission, is still a daunting challenge. This study investigated these issues by using biochar and zerovalent iron (ZVI) with low (LD) and high (HD) doses.

Support matrix machine: A review.

Support vector machine (SVM) is one of the most studied paradigms in the realm of machine learning for classification and regression problems. It relies on vectorized input data. However, a significant portion of the real-world data exists in matrix format, which is given as input to SVM by reshaping the matrices into vectors.