Radiographic age estimation based on degenerative changes of vertebrae

Age estimation is an important component of decedent identification. When assessing adult remains, anthropologists frequently use gross examination of skeletal elements, such as clavicles, ribs, and pubic symphyses. For fleshed bodies, this requires the removal of these elements and maceration prior to analysis. A new method was developed using radiographic imaging to estimate age from degenerative changes of the lower thoracic and upper lumbar vertebrae. This technique will complement anthropological age estimation methods in young and middle-aged adults and may serve as a stand-alone method for older individuals. Digital radiographs from 240 medical examiner cases were evaluated. The sample included 120 females and 120 males between the ages of 18 and 101 years. A 3-phased scoring system was used for the target vertebrae. Transition analysis was conducted on binned average scores and a Bayesian approach was used to assign age intervals. At the 90% credible interval, individuals in Bin 1 were under 36 years of age while those in Bin 3 were over 47 years of age. Individuals in Bin 2 showed too much age variation to be informative. No significant differences were found between males and females. These findings will be especially useful in the age estimation of older adults and may eliminate the need for skeletal sampling in medicolegal cases where advanced degenerative changes are radiographically observed in the lower thoracic and/or upper lumbar vertebrae. This method was developed for use on fleshed individuals but may also be applicable to skeletonized remains.     

Fair is Fine, but More is Better: Limits to Inequity Aversion in the Domestic Dog

Research with domestic dogs provides a unique approach for exploring the evolution of fairness and justice. Not only are dogs descended from highly social canids; they have also been bred for cooperative tasks with humans. Dogs act cooperatively in social play and are skilled on other social cognitive tasks. It is reasonable to ask whether dogs behave in ways similar to primates in other social contexts. In particular, do dogs perceive and respond to unfairness or injustice, a skill potentially borne of long-term affiliation with and selection by humans? Using a revised test of inequity aversion which looks at advantageous and disadvantageous inequity, the current research investigated the behavior of 38 domestic dogs. Subject dogs and a control dog approached two trainers in turn: one who rewarded them equally for sitting on command and one who rewarded them unequally??either over-rewarding or under-rewarding the control dog. After familiarization with the trainers, subjects chose which trainer to approach by themselves. Subjects preferred the over-rewarding trainer over the fair trainer; they had no preference between the under-rewarding and the fair trainer. Further analyses found that length of ownership, subjects?? age, and cooperative work experience reversed the approach preference, predicting preference for the fair trainer??though breed did not. These results suggest that the precursory sensitivity, which dogs showed to iniquitous outcomes in prior research, does not extend to both advantageous and disadvantageous inequity and does not hold when the subject is continually rewarded. Dogs selected a trainer who had treated them ??unfairly,?? yet who presented a potentially greater opportunity for future rewards. When the stakes were high, dogs showed a greater sensitivity to the quantity of a reward than to the fairness of a reward.     

Business model–dynamic capabilities and open innovation initiatives in research-intensive organisations: A case of Australia's national science agency

Publicly funded national science agencies create value as innovation catalysts and through their scientific and research missions, they tackle wicked problems. Understanding how dynamic capabilities and business model innovation enable research-intensive organisations to seize the market in the mission is key to translating bold new science that has impact. We qualitatively explore how Australia's national science agency—the Commonwealth Scientific Industrial Research Organisation (CSIRO)—has pursued open innovation to support business model–dynamic capabilities in an evolving publicly funded landscape. We reflect on the value of open innovation initiatives that have allowed the CSIRO to ambidextrously pursue world-class science while achieving impact.

Points for practitioners

• Dynamic capabilities and business model innovation are strategic tools for publicly funded national science agencies seeking to seize the market in the mission.
• We examine a case of business model–dynamic capabilities in CSIRO.
• Open innovation has been important for CSIRO as part of an ambidextrous approach.