Pollution continues to experience a rapid increase so cities in the world have required the use of renewable energy. One of the keys that can prevent climate change with a sustainable system is renewable energy. Renewable energy production, especially for hybrid systems from biomass and wind, is the objective of the analysis in this work. The potential of feedstock for different biofuels such as bio-diesel, bio-ethanol, bio-methane, bio-hydrogen, and biomass is also discussed in this paper. The sustainability of the energy system for the long term is the main focus of work in this investigation. The configuration of the hybrid system between biomass energy and wind energy as well as some problems from various design factors are also presented. Based on the findings, this alternative energy utilization through biomass-based hybrids can save costs and improve environmental conditions, especially for the electrification of off-grid rural areas. This paper will provide important information to policymakers, academics, and investors, especially in carrying out the development and factors related to the utilization of wind-biomass-based hybrid energy systems.

Juvenile fishes of the family Nototheniidae were recorded during fishing for krill eastwards of the Balleny Islands. The paper describes juveniles of the most abundant species. Trematomus bernacchii and Pagothenia brachysoma, their distribution and abundance. Also the correctness of assigning of some juveniles to the species T. bernacchii is discussed.

In this paper we present the Bayesian model selection procedure within the class of cointegrated processes. In order to make inference about the cointegration space we use the class of Matrix Angular Central Gaussian distributions. To carry out posterior simulations we use an alorithm based on the collapsed Gibbs sampler. The presented methods are applied to the analysis of the price – wage mechanism in the Polish economy.

Wrecks lying on the seabed pose a risk to both shipping and the marine environment and the interests of the country in whose area the wreck is located. This problem has been recognized internationally and resulted in the enactment of the Nairobi International Convention on the Removal of Wrecks under the auspices of the IMO. Under the convention, it is the ship’s registered owner who is financially responsible for removing the wreck from the seabed. In addition, the convention imposes an obligation to carry insurance or provide other financial security to cover the cost of removing the wreck. The interested state party will be able to make direct claims to insurers for claims related to the removal of the wreck. The scope of the convention covers the exclusive economic zone in principle, but it also contains optional provisions allowing its provisions to be extended to the territorial waters of the interested states.

The use of fly ash as a material for earth structures involves its proper compaction. Fly ash compaction tests have to be conducted on separately prepared virgin samples because spherical ash grains are crushed during compaction, so the laboratory compaction procedure is time-consuming and laborious. The aim of the study was to determine the neural models for prediction of fly ash compaction curve shapes. The attempt of applying the artificial neural networks type MLP was made. ANN inputs were new-created variables – principal components dependent on grain-size distribution (as D₁₀–D₉₀ and uniformity and curvature coefficients), compaction method, and fly ash specific density. The output vectors were presented by co-ordinates of generated compaction curve points. Each point (wᵢ, ρdi) was described by two independent ANNs. Using ANN-based modelling method, models which enable establishing the approximate compaction curve shape were obtained.