Pedestrian detection models in autonomous driving systems heavily rely on deep neural networks (DNNs) to perceive their surroundings.Recent research has unveiled the vulnerability of DNNs to backdoor attacks, in which malicious actors manipulate the system by embedding specific triggers within the training data.In this paper, we propose a tailored
Abstract Background Despite the numerous policy interventions Moisturizer targeted at preventing early age at first childbirth globally, the prevalence of adolescent childbirth remains high.Meanwhile, skilled birth attendance is considered essential in preventing childbirth-related complications and deaths among adolescent mothers.Therefore, we est
Birds are intermediate hosts and important reservoirs that play a significant role in Toxoplasma gondii (Apicomplexa, Sarcocystidae) epidemiology and infection transfer to humans by eating their raw or undercooked meat.The aim of this study is to diagnose the Toxoplasma gondii infection in three species of wild birds (Columba livia, Streptopelia se
The EC Regulation 2073/2005 (1) requires that food processors evaluate the capability of ready-to-use (RTE) products to support the development of Listeria monocytogenes when their pH and aW values are favourable to the growth of this microorganism.It is renown that the lactic flora plays an important role in many different foods, both from a techn