Grouping of Y-STR haplotypes discloses European geographic clines

Y-STR haplotypes are widely studied in Europe and an extensive databasing effort has been conducted (http://www.ystr.org). The distribution of these haplotypes has been considered to present no evidence for substructure at central and southern European level. This picture contrasts with the one that results from Y haplogroups defined by binary markers. This paradox has been solved by admitting that the high STR mutation rate and corresponding recurrence has erased geographic structuration. This explanation prompted us to reanalyse Y-STR haplotypes distribution bearing in mind the commonly admitted model for the generation of diversity in these markers, namely the stepwise mutation model (SMM) and, thus, taking the molecular distance between haplotypes into consideration. Accordingly, we have studied the European distribution of the two most frequent haplotypes in the Iberian Peninsula and their one step neighbours using the European samples deposited in the Y STR database (http://www.ystr.org). For the first group we found a clear-cut decreasing W-E gradient, while for the second the highest frequencies were found in the Iberian Peninsula (3.98% in Portugal and 3.85% in Spain), dropping to 2.88% in France and showing a less well defined SW-NW gradient. Furthermore, we have tested the agreement between haplotype groups and binary markers haplogroups in a random sample of 292 individuals from Northern Portugal. Our results demonstrate that (a) Y-STR haplotype data can be used for wide-scale anthropological approaches disclosing information that has been considered only available through binary markers and (b) forensic use of continental databases needs careful refinement, due to the macro-geographic pattern now evidenced.     

Morphological Assessment of Ancestry using Cranial Macromorphoscopics,

Ancestry estimation is essential for biological profile estimation in forensic anthropology. Hefner (2009) and Osteoware (Smithsonian Institution, 2011) presented 16 macromorphoscopic traits that can be scored for standardized data collection and can also be used within a statistical framework to estimate ancestry. The primary purpose of this research was to examine the utility of these traits for assessing ancestry. Tests of observer agreement and the range of variation in trait expression were evaluated. A sample of 208 American whites and blacks from the Hamann–Todd Collection were scored, and several classification methods were utilized in accordance with Hefner (2009). Correct classifications for the pooled sex analyses ranged from 73.3% to 86.6% and from 46.7% to 64.3% when the sexes were analyzed independently. Interobserver agreement was variable and was found to be lower than that presented in Hefner (2009). Trait expression was variable in both groups and was generally consistent with Hefner's findings.     

Changes in staff confidence and attributions for challenging behaviour after training in positive behavioural support,within a forensic mental health setting: a replication study with follow-up

Positive behavioural support (PBS) is a proactive approach to managing challenging behaviour. Staff in a forensic mental health service were provided training in PBS. The study aimed to assess the effectiveness of training by measuring changes to staff confidence and attributions for challenging behaviour before training, post training and at six-month follow-up. Qualified and unqualified staff were compared, as were male and female staff. Confidence was measured using an adapted version of the Confidence in Coping with Patient Aggression Instrument. The Challenging Behaviour Attributions Scale and the Causal Dimension Scale II assessed staff attributions. Staff confidence levels in working with challenging behaviour increased following PBS training, and this increase was maintained at six-month follow-up, for unqualified, qualified, male and female staff. Changes in attributions for challenging behaviour were observed post training; however changes were not maintained at follow-up. Limitations and clinical implications were outlined.     

Correction to: Beyond Performance: Racial Prejudice and Whites’ Mistrust of Government

Political Behavior -     

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.     

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.