Assessment of the In Vivo and In Vitro Release of Chemical Compounds from Vespa velutina.

Vespa velutina has been rapidly expanding throughout Galicia since 2012. It is causing human health risks and well-known losses in the beekeeping sector. Control methods are scarce, unspecific, and ineffective. Semiochemicals are insect-derived chemicals that play a role in communication and they could be used an integrated pest management tool alternative to conventional pesticides. A previous determination of the organic chemical profile should be the first step in the study of these semiochemicals. HS-SPME in living individuals and the sting apparatus extraction followed by GC-MS spectrometry were combined to extract a possible profile of these compounds in 43 hornets from Galicia. The identified compounds were hydrocarbons, ketones, terpenes, and fatty acid, and fatty acid esters. Nonanal aldehyde appeared in important concentrations in living individuals. While pentadecane, 8-hexyl- and ethyl oleate were mainly extracted from the venom apparatus. Ketones 2-nonanone, 2-undecanone and 7-nonen-2-one, 4,8-dimethyl- were identified by both procedures, as was 1,7-Nonadiene, 4,8-dimethyl-. Some compounds were detected for the first time in V. velutina such as naphthalene, 1,6-dimethyl-4-(1-methylethyl). The chemical profile by caste was also characterized.

A computed tomographic, mixed dentition, space analysis comparison.

INTRODUCTION: A considered space analysis aims to predict the combined mesiodistal widths of unerupted permanent canine and premolars. A miscalculation can lead to the application of inadequate and irreversible treatments. OBJECTIVE: To assess the level of agreement between predictions generated by three methods (Moyers' predictive tables at the 50th and 75th percentiles and Tanaka-Johnston's equations) on the sum of unerupted teeth compared with measurements derived from cone beam computed tomography, considered in the present study as a 'gold standard'. MATERIALS AND METHODS: The study sample was comprised of children (N = 26) aged 8-13 who visited the Department of Dentistry. Moyers' predictive tables and the Tanaka-Johnston equation were applied to ascertain the space requirements. Cone beam computed tomography was performed on each patient and the volumetric data analysed. A concordance correlation coefficient between each method's predictions was applied. RESULTS: The three methods tended to overestimate the cone beam computed tomography readings and were not able to entirely capture the variability of the sum of the unerupted teeth. Moyers' 50th percentile estimate revealed a more balanced distribution between over- and underestimation. CONCLUSION: The present study suggested that Moyers' 50th percentile is the predictive method with the lowest absolute error and is preferred for clinical use.

Collar pressure mapping: An evaluation of seven collar types used on working donkeys in Europe.

BACKGROUND: Working donkeys represent an important source of energy worldwide. Poor working conditions and equipment affect their ability to work. Poorly designed, ill-fitted harness causes inefficient transfer of power and leads to health and welfare issues. Using technology to assess different types of collars provides a better understanding of those that are most efficient for working donkeys. MATERIALS AND METHODS: Seven different collars were tested using pressure pads. Contact area, median, maximum and peak pressures were obtained for the whole collar and critical points. Eight donkeys pulled 20% and 40% of their body weight, using each collar, under controlled conditions. RESULTS: Contact area and pressures vary between collars and effort, with design and expansion capacity of the collars playing a major role. Simple collars designed specifically for donkeys performed well, with full collars designed for horses also having good results. Due to reduced expansion capacity and contact in the critical points, the breast collars were the least effective. CONCLUSION: Design, appropriate padding and manufacturing materials and adjustment capacity are key features for good collars, and such parameters are of paramount importance in terms of health and welfare for working donkeys.