Publications by authors named "M Menzies"

This paper develops new mathematical techniques to identify temporal shifts among a collection of US equities partitioned into a new and more detailed set of market sectors. Although conceptually related, our three analyses reveal distinct insights about financial markets, with meaningful implications for investment managers. First, we explore a variety of methods to identify nonlinear shifts in a market sector structure and describe the mathematical connection between the measure used and the captured phenomena.

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Article Synopsis
  • The study aimed to evaluate how well mobile phone-powered AI algorithms perform compared to clinicians in diagnosing and managing pigmented skin lesions in a clinical setting.
  • Researchers conducted a multicentre trial in Australia and Austria, involving both specialist clinicians and novice junior doctors to assess their accuracy against two AI diagnostic tools.
  • The main outcomes measured included the accuracy of diagnosis and management decisions, with the AI's performance compared to that of experts and novices based on histopathological examination and monitoring methods.
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Since its conception, the cryptocurrency market has been frequently described as an immature market, characterized by significant swings in volatility and occasionally described as lacking rhyme or reason. There has been great speculation as to what role it plays in a diversified portfolio. For instance, is cryptocurrency exposure an inflationary hedge or a speculative investment that follows broad market sentiment with amplified beta? We have recently explored similar questions with a clear focus on the equity market.

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This paper applies new and recently introduced approaches to study trends in gun violence in the United States. We use techniques in both the time and frequency domain to provide a more complete understanding of gun violence dynamics. We analyze gun violence incidents on a state-by-state basis as recorded by the Gun Violence Archive.

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Background: Despite sexual development being ubiquitous to vertebrates, the molecular mechanisms underpinning this fundamental transition remain largely undocumented in many organisms. We designed a time course experiment that successfully sampled the period when Atlantic salmon commence their trajectory towards sexual maturation.

Results: Through deep RNA sequencing, we discovered key genes and pathways associated with maturation in the pituitary-ovarian axis.

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