Synthesis and Computer Study of Population Dynamics Controlled Models Using Methods of Numerical Optimization, Stochastization and Machine Learning

The problems of synthesis and analysis of multidimensional controlled models of population dynamics are of both theoretical and applied interest. The need to solve numerical optimization problems for such a class of models is associated with the expansion of ecosystem control requirements. The need to solve the problem of stochastization is associated with the emergence of new problems in the study of ecological systems properties under the influence of random factors. The aim of the work is to develop a new approach to studying the properties of population dynamics systems using methods of numerical optimization, stochastization and machine learning. The synthesis problems of nonlinear three-dimensional models of interconnected species number dynamics, taking into account trophic chains and competition in prey populations, are studied. Theorems on the asymptotic stability of equilibrium states are proved. A qualitative and numerical study of the models is carried out. Using computational experiments, the results of an analytical stability and permanent coexistence study are verified. The search for equilibrium states belonging to the stability and permanent coexistence region is made using the developed intelligent algorithm and evolutionary calculations. The transition is made from the model specified by the vector ordinary differential equation to the corresponding stochastic model. A comparative analysis of deterministic and stochastic models with competition and trophic chains is carried out. New effects are revealed that are characteristic of three-dimensional models, taking into account the competition in populations of prey. The formulation of the optimal control problem for a model with competition and trophic chains is proposed. To find optimal trajectories, new generalized algorithms for numerical optimization are developed. A methods for the synthesis of controllers based on the use of artificial neural networks and machine learning are developed. The results on the search for optimal trajectories and generation of control functions are presented.The obtained results can be used in modeling problems of ecological, demographic, socio-economic and chemical kinetics systems

El desarrollo de la cultura de gestión ambiental en estudiantes de secundaria en educación no formal con enfoque cultural y ecológico

The purpose of the article is to develop the educational paradigm of the culture of environmental management for advanced education aimed at sustainable development. The methodological foundations of the research are established, presented by cultural-ecological, axiological, personal-activity, integral-situational methodological approaches. The key research methods are defined: system-structural analysis, generalization, systematization, design, and pedagogical experiment. Criteria, indicators and methods for diagnosing the formation of the components of the culture of nature management are revealed. Because of the research, a methodology for the formation of a culture of environmental management in the context of non-formal education was developed, including the goal, content, stages and technology of culturally oriented integral situations. To implement this methodology in educational practice, a program of activities for school “green teams” was developed: “We are in the cultural landscape of estates of our native land”, its purpose, content is revealed, the interconnection of the sections of the program with the technology of culturally oriented integral situations is shown. The results of a pedagogical experiment organized at the experimental sites of Minin University are presented. The results of the experiment, in which 360 high school students took part, made it possible to draw a conclusion about the effectiveness of the formation of a culture of environmental management among students in the context of non-formal education of cultural and ecological orientation.El propósito del artículo es desarrollar el paradigma educativo de la cultura de la gestión ambiental para una educación avanzada orientada al desarrollo sostenible. Se establecen los fundamentos metodológicos de la investigación, presentados por enfoques metodológicos culturales-ecológicos, axiológicos, de actividad personal, integrales-situacionales. Se definen los principales métodos de investigación: análisis sistémico-estructural, generalización, sistematización, diseño y experimentación pedagógica. Se revelan los criterios, indicadores y métodos para diagnosticar la formación de los componentes de la cultura de gestión de la naturaleza. A partir de la investigación se desarrolló una metodología para la formación de una cultura de gestión ambiental en el contexto de la educación no formal, que incluye el objetivo, el contenido, las etapas y la tecnología de las situaciones integrales de orientación cultural. Para implementar esta metodología en la práctica educativa, se desarrolló un programa de actividades para “equipos verdes” escolares: “Estamos en el paisaje cultural de las fincas de nuestra tierra natal”, se revela su objetivo, contenido, se muestra la interconexión de las secciones del programa con la tecnología de situaciones integrales culturalmente orientadas. Se presentan los resultados de un experimento pedagógico organizado en los sitios experimentales de la Universidad de Minin. Los resultados del experimento, en el que participaron 360 estudiantes de secundaria, permitieron sacar una conclusión sobre la eficacia de la formación de una cultura de gestión ambiental entre los estudiantes en el contexto de la educación no formal de orientación cultural y ecológica

Diabetes mellitus type 2 in adults

Public organization “Russian Association of Endocrinologists”. Clinical guidelines.&nbsp

Diabetes mellitus type 1 in adults

Public organization “Russian Association of Endocrinologists”. Clinical guidlines

Core Outcome Set for IgE ‐mediated food allergy clinical trials and observational studies of interventions: International Delphi consensus study ‘ COMFA ’

Background: IgE‐mediated food allergy (FA) is a global health concern with substantial individual and societal implications. While diverse intervention strategies have been researched, inconsistencies in reported outcomes limit evaluations of FA treatments. To streamline evaluations and promote consistent reporting, the Core Outcome Measures for Food Allergy (COMFA) initiative aimed to establish a Core Outcome Set (COS) for FA clinical trials and observational studies of interventions. Methods: The project involved a review of published clinical trials, trial protocols and qualitative literature. Outcomes found as a result of review were categorized and classified, informing a two‐round online‐modified Delphi process followed by hybrid consensus meeting to finalize the COS. Results: The literature review, taxonomy mapping and iterative discussions with diverse COMFA group yielded an initial list of 39 outcomes. The iterative online and in‐person meetings reduced the list to 13 outcomes for voting in the formal Delphi process. One more outcome was added based on participant suggestions after the first Delphi round. A total of 778 participants from 52 countries participated, with 442 participating in both Delphi rounds. No outcome met a priori criteria for inclusion, and one was excluded as a result of the Delphi. Thirteen outcomes were brought to the hybrid consensus meeting as a result of Delphi and two outcomes, ‘allergic symptoms’ and ‘quality of life’ achieved consensus for inclusion as ‘core’ outcomes. Conclusion: In addition to the mandatory reporting of adverse events for FA clinical trials or observational studies of interventions, allergic symptoms and quality of life should be measured as core outcomes. Future work by COMFA will define how best to measure these core outcomes

Biological Earth observation with animal sensors

Space-based tracking technology using low-cost miniature tags is now delivering data on fine-scale animal movement at near-global scale. Linked with remotely sensed environmental data, this offers a biological lens on habitat integrity and connectivity for conservation and human health; a global network of animal sentinels of environmen-tal change