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Background: The Abbreviated Injury Scale (AIS) and Injury Severity Score (ISS) grade the severity of injuries and are useful for trauma audit and benchmarking. However, AIS coding is complex and requires specifically trained staff. A simple yet reliable scoring system is needed.

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Background: Crossover interactions stemming from phenotypic plasticity complicate selection decisions when evaluating hybrid maize with superior grain yield and consistent performance. Consequently, a two-year, region-wide investigation of 45 hybrids maize across Nepal was performed with the aim of disclosing both site and wide adapted hybrids. Utilizing an innovative "ProbBreed" package, based on Bayesian probability analysis of randomized complete block designs with three replicated trials at each station, this study substantively streamlines hybrids maize selection.

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Automatic Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector necessitates automating the interpretation of building regulations to achieve its full potential. Converting textual rules into machine-readable formats is challenging due to the complexities of natural language and the scarcity of resources for advanced Machine Learning (ML). Addressing these challenges, we introduce CODE-ACCORD, a dataset of 862 sentences from the building regulations of England and Finland.

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Purpose: Posterior fossa ring-enhancing lesions (PFREL) in the adult immunocompetent hosts pose a diagnostic challenge. We aimed to evaluate the spectrum of PFREL etiologies and propose a diagnostic algorithm.

Methods: This study involved a retrospective analysis of PFREL cases from our institution (January 2023 to April 2024) and a systematic literature review conducted using Embase and PubMed databases following the PRISMA 2020 guidelines.

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[Quality evaluation of Brazilian Mortality Information System (SIM): a scoping review].

Cien Saude Colet

January 2025

Centro de Integração de Dados e Conhecimentos para a Saúde, Fundação Oswaldo Cruz. R. Mundo 121, Edf. Tecnocentro, Ps 315, Trobogy. 41745-715 Salvador BA Brasil.

The aim was to map evidence on the quality of records in the Mortality Information System (SIM) through a national scoping review of articles published up to April 2023 across five databases (PubMed, Embase, Scopus, LILACS, and SciELO). Studies focused on specific causes of death were excluded. Dimensions evaluated included accessibility, methodological clarity, coverage, completeness, reliability, consistency, non-duplication, timeliness, validity, and studies on ill-defined causes/garbage codes.

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