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Monitoring dairy cattle behavior can improve the detection of health and welfare issues for early interventions. Often commercial sensors do not provide researchers with sufficient raw and open data; therefore, the aim of this study was to develop an open and customizable system to classify cattle behaviors. A 3D accelerometer device and host-board (i.e., sensor node) were embedded in a case and fixed on a dairy cow collar. It was developed to work in two modes: (1) acquisition mode, where a mobile application supported the raw data collection during observations; and (2) operating mode, where data was processed and sent to a gateway and on the cloud. Accelerations were sampled at 25 Hz and behaviors were classified in 10-min windows. Several algorithms were trained with the 108 h of behavioral data acquired from 32 cows on 3 farms, and after evaluating their computational/memory complexity and accuracy, the Decision Tree algorithm was selected. This model detected standing, lying, eating, and ruminating with an average accuracy of 85.12%. The open nature of this system enables for the addition of other functions (e.g., real-time localization of cows) and the integration with other information sources, e.g., microenvironment and air quality sensors, thereby enhancing data processing potential.

Purpose: To assess the value of small bowel wall vascularity after microbubble contrast agent injection in evaluating the therapeutic effectiveness of specific anti-inflammatory treatment in patients with Crohn’s disease. Materials and methods: Fifteen patients (7 male and 8 female; mean age±SD, 40 years±6) with a biopsyproven diagnosis of Crohn’s disease – Crohn’s disease activity index (CDAI) > 150 (n = 12 patients) or 5mm) were included. In each patient the terminal loopwas scanned by contrast-enhanced ultrasound (CEUS) after sulfur hexafluoridefilled microbubble injection before and after 6-month anti-inflammatory treatment. The vascularity of the terminal loop was quantified in gray-scale levels (0–255) by a manually drawn ROI encompassing the thickened bowel wall and it was correlated with CDAI. Result: Before the beginning of the specific treatment all patients revealed diffuse transparietal contrast enhancement after microbubble injection, except for 3 patients who revealed contrast enhancement limited to the submucosa. In 13 patients the slope of the first ascending tract and the area under the enhancement curve were significantly lower after anti-inflammatory treatment (P < 0.05; Wilcoxon test) with a significant correlation with the CDAI score ( = 0.85, P < 0.05). In 2 patients no significant vascularity changes were found even though a mild reduction of CDAI score was identified (from 200 to 150 gray-scale levels). Conclusion: CEUS is a useful method to assess the therapeutic effectiveness of specific medical antiinflammatory treatment in patients with Crohn’s disease.