A systematic review of cross-patient approaches for EEG epileptic seizure prediction.

: Seizure prediction could greatly improve the quality of life of people suffering from epilepsy. Modern prediction systems leverage artificial intelligence (AI) techniques to automatically analyze neurophysiological data, most commonly the electroencephalogram (EEG), in order to anticipate upcoming epileptic events. However, the performance of these systems is normally assessed using randomized splitting methods, which can suffer from data leakage and thus result in an optimistic evaluation.

Effectiveness of energy-dispersive X-ray fluorescence for the quantification of mineral elements in skim milk and whey powders.

Milk and whey are subjected to quick deterioration due to bacterial growth. Turning them into powder allows for extended shelf life, easier storage, and more effective transport. Monitoring mineral elements in dairy powders is crucial for both technological and nutritional implications.

Preliminary characterization of microplastics in beef hamburgers.

The diffusion of microplastics in meat products is an emerging topic, as their impact on animal and human health is still largely unknown. The present study aimed to preliminarily determine the number and the quality of microplastics diffusion in beef hamburgers (n = 10) through Fourier-transformed infrared micro-spectroscopy in attenuated total reflectance mode analysis. Microplastics were detected in all analyzed samples.

Farmers' Biosecurity Awareness in Small-Scale Alpine Dairy Farms and the Crucial Role of Veterinarians.

Background: Biosecurity measures are essential to improve animal health and welfare, tackle antimicrobial resistance (AMR), minimize the burden of infectious diseases, and enhance the safety, security, and quality of sustainable agricultural products. However, the implementation of these measures in small mountain farms can be influenced by several factors, which probably differ from the main variables that affect intensive farming systems.

Methods: This study investigated the awareness among farmers regarding the implementation of biosecurity measures at the local level in small dairy farms located in the Autonomous Province of Bolzano/Bozen (Italy).

Milking system and diet forage type effect on milk quality of Italian Holstein-Friesian.

Moving from conventional (CMS) to automatic (AMS) milking systems could affect milk quality. Moreover, the type and preservation methods of the forages used in the TMR, such as alfalfa hay (HTMR) or corn silage (STMR) have been demonstrated to modify milk composition. Thus, this study investigated the effect of implementing AMS and different diet forage types on the quality of Italian Holstein-Friesian bulk milk.