Comparing the Performance of Raman and Near-Infrared Imaging in the Prediction of the In Vitro Dissolution Profile of Extended-Release Tablets Based on Artificial Neural Networks.

In this work, the performance of two fast chemical imaging techniques, Raman and near-infrared (NIR) imaging is compared by utilizing these methods to predict the rate of drug release from sustained-release tablets. Sustained release is provided by adding hydroxypropyl methylcellulose (HPMC), as its concentration and particle size determine the dissolution rate of the drug. The chemical images were processed using classical least squares; afterwards, a convolutional neural network was applied to extract information regarding the particle size of HPMC. The chemical images were reduced to an average HPMC concentration and a predicted particle size value; these were used as inputs in an artificial neural network with a single hidden layer to predict the dissolution profile of the tablets. Both NIR and Raman imaging yielded accurate predictions. As the instrumentation of NIR imaging allows faster measurements than Raman imaging, this technique is a better candidate for implementing a real-time technique. The introduction of chemical imaging in the routine quality control of pharmaceutical products would profoundly change quality assurance in the pharmaceutical industry.

Survey of wild boar hunter interactions with pig farming in central Europe.

African swine fever (ASF) is a fatal animal disease without zoonotic potential but greatly impacts human well-being, especially in the most vulnerable human communities. In Europe, ASF concerns mostly the wildlife domain of health. The main vector of the disease is confirmed to be the wild boar, though long-distance jumps of the infection are due to anthropogenic effects. This study aimed to evaluate the potential role of hunting assistant personnel (beaters and carcass handlers) in ASF spread in Hungary. Based on a personal interview survey, we attempted to identify the epidemiological risk caused by hunting activities and the hunting personnel. The interviews with 58 hunting workers confirmed that an extent backyard pig sector (13 pig farmers) and pork production system (31 pork producers) existed within the study region out of the authorities' sight. Two pig farmers did not wear special working clothes for pig caring, seven pork producers disposed of slaughter offal in the settlements periphery, and six persons regularly contacted distant pig farms. The revealed knowledge, attitude, and practice of the questioned pig farmers suggested that this sector would be very vulnerable in an epidemic situation; moreover, backyard farms would cause a great risk for wildboar populations. Considering that the study region is the third poorest region of Hungary, these findings called attention to the high epidemiologic risk of socioeconomic inequality between different regions within the European Union.