Witness marks produced on bone by the use of saws have traditionally been examined using stereomicroscopy. The marks are typically found on the kerf wall or floor and give important information about the implement that made them. This paper describes a new approach to the analysis of witness marks left on kerf walls and floors from crimes involving dismemberment. Previously, two types of marks have been identified: deep furrows formed during the pull stroke and fine striations formed on the push stroke. These types of striation allow the class of saw to be identified, but not an individual saw. With the advent of environmental scanning electron microscopy (ESEM), insulating materials can now be examined without the need for conductive coatings to be applied. This allows materials to be examined at higher magnifications than those available with stereomicroscopy. Here we report on a new, third type of striation that is visible at higher magnifications on ESEM images. These striations are formed from the imperfections on the cutting teeth of saws and give real possibilities of uniquely identifying whether or not a particular saw was used to cause the mark. In blind trials conducted on sawing of nylon 6.6, different individual saws could be successfully identified even if different people used the saw. We discuss ways in which these results can be extended to bone and how this may assist in the investigation of the act of dismemberment.
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Ergonomics
January 2025
Department of Psychology, and Institute for Simulation and Training, University of Central Florida, Orlando, FL, USA.
A critical metaphor for the development, implementation and penetration of autonomous machine systems into the world of human work is presented. Most especially, the ' concept is articulated which argues that the expropriation of human pre-eminence will be marked by a series of threshold events, some of which are, even now becoming evident. In particular, it indicates that there will be a watershed event in which differing and distinct expressions of applied autonomous systems will spontaneously coalesce to produce an emergent, general artificial intelligence.
View Article and Find Full Text PDFLang Hist
October 2024
Department of Early Irish, Maynooth University, Ireland.
Even though the publication of Johann Kaspar Zeuss's monumental (Zeuss 1853) marks the beginning of the modern, scientific study of the Old Irish language, short excerpts of the most important textual witnesses of Old Irish, the so-called Old Irish glosses, preserved in 8th-9th-century manuscripts on the European Continent, had appeared in print since the early 18th century. This article gives an overview of these early publications from the 18th and early 19th century by Johann Georg von Eckhart, Domenico Vallarsi, Lodovico Antonio Muratori, and Vittorio Amedeo Peyron, and assesses their role as early trailblazers in the study of Old Irish.
View Article and Find Full Text PDFCommun Biol
December 2024
Department of Computer Science, Kent State University, 800 E Summit St, Kent, OH, 44242, USA.
Recent years have witnessed the remarkable progress of deep learning within the realm of scientific disciplines, yielding a wealth of promising outcomes. A prominent challenge within this domain has been the task of predicting enzyme function, a complex problem that has seen the development of numerous computational methods, particularly those rooted in deep learning techniques. However, the majority of these methods have primarily focused on either amino acid sequence data or protein structure data, neglecting the potential synergy of combining both modalities.
View Article and Find Full Text PDFForensic Sci Med Pathol
November 2024
Institute of Legal medicine, CHRU TOURS, Trousseau Hospital, Avenue de la république, 37170, Chambray-lès-Tours, France.
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