Explore the vast range of titles available.

The analysis of the urban planning territory has been improving for a long time, including the achievements in urban planning and cartographic representation of the territory. Using the thematic map, which represents the centers of ancient agriculture, i.e., the origin of the urban planning territory, the hypothesis of preservation and urban development of such territories is put forward. This hypothesis was tested by utilizing the online cartographic tool called “Atlas of Light pollution map” and by creating urban planning zones based on settlements in the North Caucasus region of Russia.

The conservation value of the territories is clearly demonstrated by the Emerald Network criteria and the EUNIS habitat classification. These tools diagnose the conservation value of the territories by taking into account their ecosystem functions. The research goal was fulfilled thanks to the well-developed syntaxonomy of vegetation and clear formulations for describing the diagnostic features of plant communities formed in the synecological optimum of habitats. The inventory work in old manor parks of the Bryansk region justified objects with unique habitats for inclusion in the Emerald Book of Russia. Our survey of 15 old manor parks in the Bryansk region revealed seven complexes where zonal plant communities are formed. These habitats are of great natural, cultural, and historical significance and should be designated as \"key habitats.\" The plant communities of Querco-Tilion and Alnion glutinosae in the manor parks with different stages of demutational shifts—Dunin-Borkovskiy, Rumyantsev, Ryovny, Foevichi, Lyalichi, Koretsky, and Lubin Khutor manors have been classified as habitats of G1 categories. 22 - Mixed oak- elm-ashtree forests; G1.A1 - Northern Central Russian oak-lime forests; G1.A4 - Gully and slope forests. The following habitat codes were determined according to the EUNIS system, which complements the classification of the ecological network area types: T1: Eastern European black alder swamp forests; T1-E: Northern Middle Russian oak-lime forests, sub-taiga lime forests. To preserve unique habitats and formed communities, park complexes must be designated as regional natural monuments. This will ensure they are included in the relevant legislation and regulations. Estate parks must also be incorporated into the ecological framework for Bryansk and neighboring regions. Finally, the introduction of invasive plants that disrupt homeostatic regulation mechanisms must be controlled.

Fermi-LAT has made a significant contribution to the study of high-energy gamma-ray diffuse emission and the observations of 3000 discrete sources. However, one third of all gamma-ray sources (both galactic and extragalactic) are unidentified, the data on the diffuse gamma-ray emission should be clarified, and signatures of dark matter particles in the high-energy gamma-ray range are not observed up to now. GAMMA-400, the currently developing gamma-ray telescope, will have angular (∼0.01∘ at 100 GeV) and energy (∼1% at 100 GeV) resolutions in the energy range of 10–1000 GeV which are better than Fermi-LAT (as well as ground gamma-ray telescopes) by a factor of 5–10. It will observe some regions of the Universe (such as the Galactic Center, Fermi Bubbles, Crab, Cygnus, etc.) in a highly elliptic orbit (without shading the telescope by the Earth) continuously for a long time. It will allow us to identify many discrete sources, to clarify the structure of extended sources, to specify the data on the diffuse emission, and to resolve gamma rays from dark matter particles.

Fermi-LAT has made a significant contribution to the study of high-energy gamma-ray diffuse emission and the observations of 3000 discrete sources. However, one third of all gamma-ray sources (both galactic and extragalactic) are unidentified, the data on the diffuse gamma-ray emission should be clarified, and signatures of dark matter particles in the high-energy gamma-ray range are not observed up to now. GAMMA-400, the currently developing gamma-ray telescope, will have angular (∼0.01∘ at 100 GeV) and energy (∼1% at 100 GeV) resolutions in the energy range of 10–1000 GeV which are better than Fermi-LAT (as well as ground gamma-ray telescopes) by a factor of 5–10. It will observe some regions of the Universe (such as the Galactic Center, Fermi Bubbles, Crab, Cygnus, etc.) in a highly elliptic orbit (without shading the telescope by the Earth) continuously for a long time. It will allow us to identify many discrete sources, to clarify the structure of extended sources, to specify the data on the diffuse emission, and to resolve gamma rays from dark matter particles.

The paper proposes a method of information-extreme machine learning of a decision-making support system for diagnosing breast oncopathologies based on histological images. This method, unlike known methods, including neural-like structures, has been developed within the framework of a functional approach to modeling cognitive processes of generating and making decisions by natural intelligence. At the same time, decision rules constructed using the geometric approach are practically invariant to the multidimensionality of the diagnostic feature space. The developed method makes it possible to create information and algorithmic support and software for an automated workstation of a histologist diagnosing oncopathologies of various origins.

During the COVID-19 pandemic number of patients suffering from symptoms, decreased work ability and the deterioration in quality of life for several weeks and even months after the onset of the disease is increasing. The aim of the literature review is to search and study the existing literature data regarding the lung impairment features in COVID-19, as well as the morphological and pathophysiological prerequisites for the long-term respiratory disorders in patients who have had this disease. The most common complaints of patients after acute COVID-19 are fatigue, dyspnea, cough and chest discomfort. In these cases restrictive pattern in the pulmonary function test, a reduced gas transfer and persistent changes in computed tomography often in the form of fibrosis are observed, less often in the form of bullous-emphysematous changes, bronchiectasis and pleural effusion. The main pathophysiological mechanisms of acute lung impairment in COVID-19 are direct viral toxicity, impaired function of the immune system, hyperinflammatory response, endotheliopathy, microcirculatory disorders and increased blood clotting with small and large vessels thrombosis, which can lead to pneumonia or acute respiratory distress syndrome. After the acute phase of COVID-19 the pathology of the lung can be caused by an immunogenic and hyperinflammatory response, hypercoagulability and lead to pulmonary fibrosis. The possible mechanisms of the pulmonary fibrosis are thrombotic processes, hemosiderosis, necrotic capillaritis, angiogenesis, hypoxia, cytokine storm. Thus abnormal immune response, hyperinflammation, endothelial dysfunction and excessive coagulation not only cause pneumonia or acute respiratory distress syndrome in acute COVID-19, but also may persist for a long time and contribute to pulmonary fibrosis in some patients. The causes of a longer duration and increased severity of the lung impairment in some people compared to others are the subject of current investigations.