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The article presents a study on local food resources and the composition of the urban landscape affecting densities of feral pigeons in the city of Poznan in Poland. The density of pigeons showed significant spatial autocorrelation, wherein density of pigeons was seen highest in plots with more tall buildings, a large number of human related food resources, schools and a high part of green space. They were found lower in plots with higher density of streets and located further from the city centre. To avoid their presence residential areas should reportedly have low buildings, local food resources should be thrown in litter bins where animals cannot get them and the public should be educated to refrain from feeding the pigeons.

Automated and autonomous vehicles are in an intensive development phase. It is a phase that requires a lot of modelling and experimental research. Experimental research into these vehicles is in its initial state. There is a lack of findings and standardized recommendations for the organization and creation of research scenarios. There are also many difficulties in creating research scenarios. The main difficulties are the large number of systems for simultaneous checking. Additionally, the vehicles have a very complicated structure. A review of current publications allowed for systematization of the research scenarios of vehicles and their components as well as the measurement systems used. These include perception systems, automated response to threats, and critical situations in the area of road safety. The scenarios analyzed ensure that the planned research tasks can be carried out, including the investigation of systems that enable autonomous driving. This study uses passenger cars equipped with highly sophisticated sensor systems and localization devices. Perception systems are the necessary equipment during the conducted study. They provide recognition of the environment, mainly through vision sensors (cameras) and lidars. The research tasks include autonomous driving along a detected road lane on a curvilinear track. The effective maintenance of the vehicle in this lane is assessed. The location used in the study is a set of specialized research tracks on which stationary or moving obstacles are often placed.

Cerebellin (CER) is a neuromodulatory hexadecapeptide that originates from the precursor protein precerebellin (Cbln1). Four highly homologous isoforms of Cbln are known (Cbln1-Cbln4), which are expressed in the central nervous system (CNS) and in peripheral tissues. CER modulates synaptic structure formation in the CNS, whereas in the peripheral tissues CER regulates catecholamine secretion. Cbln is also expressed in the pancreas; however, its function in the pancreas is unknown. Here, we demonstrate the role of CER in regulating insulin secretion in vivo and in vitro. We identified Cbln1 and Cbln3 transcripts in rat pancreatic islets and detected Cbln-immunoreactivity, predominantly located in the periphery of the rat endocrine pancreas. In vivo, CER reduced plasma insulin levels in rats after 1 and 2 h. CER decreased insulin secretion from isolated rat pancreatic islets at high (11 mM), but not at low (3.33 mM) glucose concentration. CER inhibited stimulated insulin secretion from clonal rat insulinoma (INS-1) cells, reduced forskolin-induced production of cAMP and intracellular calcium concentration. Our study demonstrates for the first time that Cbln1 and Cbln3 are expressed in the rat endocrine pancreas. Furthermore, we identify CER as an insulinostatic factor, which decreases intracellular cAMP production and calcium in INS-1 cells.