Informatic application to characterise and identify small mammal species: Arvicolinae (Cricetidae, Rodentia, Mammalia).

The classification of rodent species can be challenging due to high morphological similarities observed among them. This problem is further increased in palaeontological systematics, where classification is traditionally based on the molar morphology. The subfamily Arvicolinae (Rodentia, Mammalia) is one of these rodent groups, whose classification being important for biostratigraphic and climatic studies of the Quaternary period is challenging.

Why do patients with urinary diversions have an increased risk of bone fracture? A systematic review on risk factors for osteoporosis and bone mineral density loss in this group of patients.

Introduction: Patients undergoing radical cystectomy with urinary diversions (UD) are at increased risk of bone fractures compared to the general population. Although a loss of bone mineral density (BMD) has been described in patients with UD, we still do not know with certainty why these patients follow this tendency.

Objective: We performed a systematic review of the available literature to analyze the prevalence of osteoporosis and bone alterations in patients with ileal UD and the possible associated risk factors.

Pharmacists' perceptions and delivery of health behaviour change recommendations: Mapping the COM-B model.

Background: Pharmacists are trusted and accessible healthcare professionals who are well-positioned to deliver brief health behaviour change technique-based interventions for chronic health conditions. However, little is known about the factors influencing pharmacists' use of behaviour change techniques and their capacity to deliver these interventions within community pharmacy.

Objectives: This study employed the COM-B model to explore the factors that explain pharmacists' delivery of behaviour change techniques in practice.

Predicting discretionary food consumption using temporal self-regulation theory and food reward sensitivity.

Discretionary foods account for over a third of the average adult's total daily energy intake. But its excess consumption is a risk factor for obesity, Type 2 diabetes, and other diet-related diseases. This study aimed to use temporal self-regulation theory (intention, past behaviour, habit, self-regulatory capacity) and food reward sensitivity to identify predictors of discretionary food consumption.