Council Regulation (EC) No 1/2005 requires that vehicles that are transporting animals be subjected to checks conducted by competent authorities. Yearly, each member state sends a report to the European government on the infringements that have been discovered during on-road inspections. The reports that were published by the Italian Ministry of Public Health from 2009 to 2013 were analyzed. Possible associations between the type of infringement (related to animal welfare (AW), vehicle (V) and accompanying documents (D)), year, season, transported species, place of inspection, and competent authorities were identified. A total of 985 infringements were analyzed, with some vehicles receiving more than one (mean: 1.58; max: 9). A score (from 1 to 3) that was related to the severity of the infringements was created. In 2009 and 2010, there was a 50% higher probability of encountering penalties of a lower severity (D or V) than in 2011 ( < 0.0001). Vehicles that were transporting pigs showed the highest probability of committing animal welfare-related infringements (odds ratio (OR) = 3.85, 95% confidence interval (95%CI) = 1.82-8.76, < 0.0001). Vehicles were four times more likely to suffer animal welfare-related penalties when traffic police worked in synergy with veterinary services (OR = 4.12, 95%CI = 1.70-11.13, = 0.0005). Vehicles that were transporting Equidae and "other species," including pets, for commercial purposes were more likely to be fined for a lack or incompleteness of the veterinary documents than those transporting cattle ( = 0.002 and = 0.004, respectively). This study gives statistical evidence of the implementation of EC 1/2005. The training of transporters and drivers on how to manage transport in an animal welfare-friendly manner and a standardized method on how to conduct road inspections among competent authorities are recommended.
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http://dx.doi.org/10.3390/ani10020356 | DOI Listing |
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January 2025
Key Laboratory of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
A novel polymer electrolyte based on CsPbI quantum dots (QDs) reinforced polyacrylonitrile (PAN), named as PIL, is exploited to address the low room-temperature (RT) ion conductivity and poor interfacial compatibility of polymer solid-state electrolytes. After optimizing the content of CsPbI QDs, RT ion conductivity of PIL largely increased from 0.077 to 0.
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January 2025
Drug Transport and Delivery Research Group, Department of Pharmacy, Faculty of Health Sciences, University of Tromsø The Arctic University of Norway, Tromsø, Norway.
Introduction: Liposomal hydrogels are novel drug delivery systems that comprise preformed liposomes incorporated in hydrogels destined for mostly localized drug therapy, herewith antimicrobial therapy. The formulation benefits from versatility of liposomes as lipid-based nanocarriers that enable delivery of various antimicrobials of different lipophilicities, and secondary vehicle, hydrogel, that assures better retention time of formulation at the infection site. Especially in an era of alarming antimicrobial resistance, efficient localized antimicrobial therapy that avoids systemic exposure of antimicrobial and related side effects is crucial.
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January 2025
School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.
The Internet of Vehicles (IoV), a key component of smart transportation systems, leverages 5G communication for low-latency data transmission, facilitating real-time interactions between vehicles, roadside units (RSUs), and sensor networks. However, the open nature of 5G communication channels exposes IoV systems to significant security threats, such as eavesdropping, replay attacks, and message tampering. To address these challenges, this paper proposes the Efficient Cluster-based Mutual Authentication and Key Update Protocol (ECAUP) designed to secure IoV systems within 5G-enabled sensor networks.
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January 2025
College of Transportation, Shandong University of Science and Technology, Qingdao 266590, China.
To address the problems that exist in the target detection of vehicle-mounted visual sensors in foggy environments, a vehicle target detection method based on an improved YOLOX network is proposed. Firstly, to address the issue of vehicle target feature loss in foggy traffic scene images, specific characteristics of fog-affected imagery are integrated into the network training process. This not only augments the training data but also improves the robustness of the network in foggy environments.
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January 2025
College of Information Science and Technology, Donghua University, Shanghai 201620, China.
Modern city construction focuses on developing smart transportation, but the recognition of the large number of non-motorized vehicles in the city is still not sufficient. Compared to fixed recognition equipment, drones have advantages in image acquisition due to their flexibility and maneuverability. With the dataset collected from aerial images taken by drones, this study proposed a novel lightweight architecture for small objection detection based on YOLO framework, named EBR-YOLO.
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