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Artisans and craftsmen in Southern Italy participated in complex networks of interactions which are not yet fully understood. Although we know the broad outlines of the kind of mobility driven by trade, the movements of individual artists or artefacts are much harder to track and, unlike the careers of elite men or soldiers, craftsmen’s lives are rarely memorialised in literature or outlined on gravestones. Instead, their work provides our main insight into how artisans lived, worked and travelled. The style, function and decoration of paintings, ceramics and other products provides some clues, but text is also used for decorative and practical purposes on a wide range of different objects. Many of these inscriptions show the writer’s familiarity with multiple languages, alphabets or dialects and, in some cases, may show evidence for movement across language or dialect boundaries.
The study of migration in the ancient world unexpectedly became a topic of the global news cycle in the summer of 2017. ‘The Story of Britain’, a BBC cartoon for schools that depicted a black soldier in Roman Britain generated Twitter exchanges, subsequently expanded into blogs, newspaper articles and think pieces around the world. Historians, archaeologists, geneticists, statisticians as well as others from outside academia contributed to a debate about the amount of ethnic diversity in Roman Britain and the origin and impact of ancient migrants to the British Isles. The editors of this volume do not expect that it will have an impact equivalent to the BBC cartoon, but we hope that the chapters within it can both contribute to the gradual disentanglement of scanty, sometimes contradictory, evidence and present new ways of looking at ancient migration, while also laying bare some of the tacit or unwarranted assumptions that have been made.
Migration, Mobility and Language Contact in and around the Ancient Mediterranean is the first volume to show the different ways in which surviving linguistic evidence can be used to track movements of people in the ancient world. Eleven chapters cover a number of case studies, which span the period from the seventh century BC to the fourth century AD, ranging from Spain to Egypt, from Sicily to Pannonia. The book includes detailed study of epigraphic and literary evidence written in Latin and Greek, as well as work on languages which are not so well documented, such as Etruscan and Oscan. There is a subject index and an index of works and inscriptions cited.
This study examined the relationship between patient performance on multiple memory measures and regional brain volumes using an FDA-cleared quantitative volumetric analysis program – Neuroreader™.
Ninety-two patients diagnosed with mild cognitive impairment (MCI) by a clinical neuropsychologist completed cognitive evaluations and underwent MR Neuroreader™ within 1 year of testing. Select brain regions were correlated with three widely used memory tests. Regression analyses were conducted to determine if using more than one memory measures would better predict hippocampal z-scores and to explore the added value of recognition memory to prediction models.
Memory performances were most strongly correlated with hippocampal volumes than other brain regions. After controlling for encoding/Immediate Recall standard scores, statistically significant correlations emerged between Delayed Recall and hippocampal volumes (rs ranging from .348 to .490). Regression analysis revealed that evaluating memory performance across multiple memory measures is a better predictor of hippocampal volume than individual memory performances. Recognition memory did not add further predictive utility to regression analyses.
This study provides support for use of MR Neuroreader™ hippocampal volumes as a clinically informative biomarker associated with memory performance, which is a critical diagnostic feature of MCI phenotype.
Psychiatric disorders, including eating disorders (EDs), have clinical outcomes that range widely in severity and chronicity. The ability to predict such outcomes is extremely limited. Machine-learning (ML) approaches that model complexity may optimize the prediction of multifaceted psychiatric behaviors. However, the investigations of many psychiatric concerns have not capitalized on ML to improve prognosis. This study conducted the first comparison of an ML approach (elastic net regularized logistic regression) to traditional regression to longitudinally predict ED outcomes.
Females with heterogeneous ED diagnoses completed demographic and psychiatric assessments at baseline (n = 415) and Year 1 (n = 320) and 2 (n = 277) follow-ups. Elastic net and traditional logistic regression models comprising the same baseline variables were compared in ability to longitudinally predict ED diagnosis, binge eating, compensatory behavior, and underweight BMI at Years 1 and 2.
Elastic net models had higher accuracy for all outcomes at Years 1 and 2 [average Area Under the Receiving Operating Characteristics Curve (AUC) = 0.78] compared to logistic regression (average AUC = 0.67). Model performance did not deteriorate when the most important predictor was removed or an alternative ML algorithm (random forests) was applied. Baseline ED (e.g. diagnosis), psychiatric (e.g. hospitalization), and demographic (e.g. ethnicity) characteristics emerged as important predictors in exploratory predictor importance analyses.
ML algorithms can enhance the prediction of ED symptoms for 2 years and may identify important risk markers. The superior accuracy of ML for predicting complex outcomes suggests that these approaches may ultimately aid in advancing precision medicine for serious psychiatric disorders.
Duchenne muscular dystrophy is associated with progressive cardiorespiratory failure, including left ventricular dysfunction.
Methods and Results:
Males with probable or definite diagnosis of Duchenne muscular dystrophy, diagnosed between 1 January, 1982 and 31 December, 2011, were identified from the Muscular Dystrophy Surveillance Tracking and Research Network database. Two non-mutually exclusive groups were created: patients with ≥2 echocardiograms and non-invasive positive pressure ventilation-compliant patients with ≥1 recorded ejection fraction. Quantitative left ventricular dysfunction was defined as an ejection fraction <55%. Qualitative dysfunction was defined as mild, moderate, or severe. Progression of quantitative left ventricular dysfunction was modelled as a continuous time-varying outcome. Change in qualitative left ventricle function was assessed by the percentage of patients within each category at each age. Forty-one percent (n = 403) had ≥2 ejection fractions containing 998 qualitative assessments with a mean age at first echo of 10.8 ± 4.6 years, with an average first ejection fraction of 63.1 ± 12.6%. Mean age at first echo with an ejection fraction <55 was 15.2 ± 3.9 years. Thirty-five percent (140/403) were non-invasive positive pressure ventilation-compliant and had ejection fraction information. The estimated rate of decline in ejection fraction from first ejection fraction was 1.6% per year and initiation of non-invasive positive pressure ventilation did not change this rate.
In our cohort, we observed that left ventricle function in patients with Duchenne muscular dystrophy declined over time, independent of non-invasive positive pressure ventilation use. Future studies are needed to examine the impact of respiratory support on cardiac function.
Paramedics Providing Palliative Care at Home was launched in two provinces, including a new clinical practice guideline, database, and paramedic training. The aim of this study was to evaluate patient/family satisfaction and paramedic comfort and confidence.
In Part A, we gathered perspectives of patients/families via surveys mailed at enrolment and telephone interviews after an encounter. Responses were reported descriptively and by thematic analysis. In Part B, we surveyed paramedics online pre- and 18 months post-launch. Comfort and confidence were scored on a 4-point Likert scale, and attitudes on a 7-point Likert scale, reported as the median (interquartile range [IQR]); analysis with Wilcoxon ranked sum/thematic analysis of free text.
In Part A, 67/255 (30%) enrolment surveys were returned. Three themes emerged: fulfilling wishes, peace of mind, and feeling prepared for emergencies. In 18 post-encounter interviews, four themes emerged: 24/7 availability, paramedic professionalism and compassion, symptom relief, and a plea for program continuation. Thematic saturation was reached with little divergence. In Part B, 235/1255 (18.9%) pre- and 267 (21.3%) post-surveys were completed. Comfort with providing palliative care without transport improved post launch (p = < 0.001) as did confidence in palliative care without transport (p = < 0.001). Respondents strongly agreed that all paramedics should be able to provide basic palliative care.
After implementation of the multifaceted Paramedics Providing Palliative Care at Home Program, paramedics describe palliative care as important and rewarding. The program resulted in high patient/family satisfaction; simply registering provides peace of mind. After an encounter, families particularly noted the compassion and professionalism of the paramedics.