The effect of sea surface temperature on the structure and connectivity of species landings interaction networks in a multispecies recreational fishery.

Multispecies fisheries, particularly those that routinely adapt the timing, location, and methods of fishing to prioritize fishery targets, present a challenge to traditional single-species management approaches. Efforts to develop robust management for multispecies fisheries require an understanding of how priorities drive the network of interactions between catch of different species, especially given the added challenges presented by climate change. Using 35 years of landings data from a southern California recreational fishery, we leveraged empirical dynamic modelling methods to construct causal interaction networks among the main species targeted by the fishery. We found strong evidence for dependencies among species landings time series driven by apparent hierarchical catch preference within the fishery. In addition, by parsing the landings time series into anomalously cool, normal, and anomalously warm regimes (the last reflecting ocean temperatures anticipated by 2040), we found that network complexity was highest during warm periods. Our findings suggest that as ocean temperatures continue to rise, so too will the risk of unintended consequences from single species management in this multispecies fishery.

Micro-Macro Modelling Approach of Vegetal Wools Thermal Conductivity

Biosourced materials such as vegetal wools offer major thermal insulation advantages in the green buildings field. Experimental characterisations of vegetal wools thermal conductivity as a function of their density show the existence of an optimum conduction-radiation coupled value. This specific point, as well as the properties of vegetal wools are related to the large variability of shapes and sizes of their fibres. In order to take this specificity into account, it seems particularly relevant to use micro-macro modelling methods to predict the thermal conductivities related to both conduction and radiation heat transfer phenomena. In a first time, a self-consistent method based on a cylindrical geometry (SCMcyl) is used as a modelling approach for conduction transfers. Then, a modelling approach developed by Bankvall and based on an equivalent fibre radius value is used for radiation transfers. So, by coupling these two approaches, it is possible to obtain an equivalent thermal conductivity of fibrous materials as a function of density. Finally, this method is validated by comparison with experimental data.

Modelling of Environmental Ageing of Polymers and Polymer Composites—Modular and Multiscale Methods

Service lifetimes of polymers and polymer composites are impacted by environmental ageing. The validation of new composites and their environmental durability involves costly testing programs, thus calling for more affordable and safe alternatives, and modelling is seen as such an alternative. The state-of-the-art models are systematized in this work. The review offers a comprehensive overview of the modular and multiscale modelling approaches. These approaches provide means to predict the environmental ageing and degradation of polymers and polymer composites. Furthermore, the systematization of methods and models presented herein leads to a deeper and reliable understanding of the physical and chemical principles of environmental ageing. As a result, it provides better confidence in the modelling methods for predicting the environmental durability of polymeric materials and fibre-reinforced composites.

Containment of COVID-19: International experience and management strategies

The aim of the article is to study the international experience in the field of containment of COVID-19 and strategies for overcoming its negative effects. Descriptive, analytical, synthetic and modelling methods are used in the study. The authors analyze the international and national legal framework for the containment of COVID-19, as well as the results of particular studies in this field. The epidemiological, social, economic, legal and other effects of COVID-19 on modern society are comprehensive and possibly long lasting. The pandemic has affected all regions of the world. However, different countries and groups of countries are developing and implementing different COVID-19 management strategies and models to reduce negative impacts of it.

The quantum chemical solvation of indole: Accounting for strong solute-solvent interactions using implicit/explicit models

In this paper, we investigate the efficacy of different quantum chemical solvent modelling methods of indole in both water and methylcyclohexane solutions. The goal is to show that one can...

Development of system typology and choice of preferred simulation modelling methods for DSS-toolkit

Formulated a position on the feasibility of developing and applying a highly developed simulation models of complex object within scope of justifying of managerial decisions. Selected set of classification factors that determine the performance of a typology of simulation methods. The article reveals the content of the applicable methods of simulation in relation to the procedure of organization of promotion in the model time. The existence of the problem of forming of the simulation method and its principal conceptual solvability by preparation and implementation of research optimization (analysis and/or synthesis of this method) is shown. An innovative extension of the set of these methods is introduced. The considerations concerning the preferred method for application for a certain category of object of modellings - the method of key model events are formulated. The problem of synthesis of a method of combination of group of methods of simulation is allocated.

CRISIS AND RECOVERY OF BUSINESS ENTITIES IN TOURISM IN THE POST PANDEMIC PERIOD IN SLOVAKIA

The aim of the paper is to examine the issue of market recovery and business entities in the pandemic and post-pandemic period. Overall it points out the possibilities of the solution on the basis of interviews and utilizing the models of simulation of the results of companies that have been affected by the crisis. The paper used statistical data obtained by research in the analysed period March - April 2020 and in the examined years 2019 to 2023, including prognostic data from the sources of the Ministry of Finance of the Slovak Republic. Based on the results of selected companies with and without pandemic measures were simulated. Resulting from the research findings, proposed model presents the state of the company affected by the crisis and ways of solving how to get out of this crisis and design further development in the post-pandemic period. The paper pointed out the need to increase expertise in decision-making on the development of the economy of business entities and subsequently the development of the industry with targeted support from the state based on research base in combination with future modelling methods.