This article is a review examining the characteristics that make an animal model attractive for developmental research and explores opportunities presented by the embryo to adult continuum of alternative bird models including quail, ratites, songbirds, birds of prey, and corvids.

This article develops and tests a constrained stochastic weather generator (CSWG) for producing daily mean air temperature and precipitation based on annual mean air temperature and precipitation from tree-ring records. It presents a unique method that can be used to explore historic (e.g., archeological questions) or future (e.g., climate change) daily weather conditions based upon specified annual values.

This article presents findings from a series of related studies exploring aspects of Digital Humanities teaching, education, and research in iSchools, often in collaboration with other units and disciplines. Results provide a snapshot of the current state of digital humanities in iSchools which may usefully inform the design and evolution of new DH programs, degrees, and related initiatives.

Article reporting on the use of an organic community research partnership-building approach between researchers, needle and syringe program (NSP) providers, and people who inject drugs (PWID) in Canberra ACT, Australia. Results found engaging in relationship building around partner priority activities created mutual understanding and trust premised in authenticity of the evolving partnership. The organic approach, which included a partner audit of the research tools for relevance, resulted in high acceptance and enrollment into the research by NSP providers and PWID. The results of this study provide evidence for the benefits of organic collaborative research partnership building with NSP providers and PWID for authentic service program implementation.

This article synthesizes and characterizes a series of new cationic dioxidomolybdenum(VI) complexes [MoO₂(Lⁿ)]PF₆ (2–5) with the tripodal tetradentate pyridyl aminophenolate ligands HL²-HL⁵.

Article proposes a Machine Learning (ML) and Deep Learning based system to detect the presence of two critical disease spreading classes of mosquitoes in order to prevent mosquito-borne infection.