Journal of Biodiversity & Endangered Species

In marine ecology, linear regression is a statistical method that is commonly employed, either to describe straightforward correlations or as a part of more intricate models. This method's seeming simplicity frequently hides it’s much more complicated foundations, on which its validity and eventual ecological interpretations completely depend. With an emphasis on proper model specification, the various concepts of linearity, the problems with data transformation, the assumptions that must be respected, and regression model validation, we present a non-technical review of the fundamentals of linear regression and its application in marine ecology. R2 and p-values alone do not provide enough data to draw valid conclusions.

In this paper, the effectiveness of three distinct layouts at a rooftop solar chimney's outlet sections is evaluated. The first arrangement resembles a typical home-solar chimney system. The technical literature serves as the foundation for the development of a numerical modelling that takes into account both the wind and buoyancy driving forces. An adequate two-transport equations model with a low-Reynolds treatment at the walls is used to replicate the airflow's turbulent nature. When simulating the wind numerically, extra effort is taken to accurately introduce the atmospheric boundary layer by using a logarithmic speed profile. It is necessary to impose a heat-flux heating condition (uniform) at the walls in order to accurately imitate the heating caused by irradiation. Attention is drawn to a comparative.

Agrochemicals are chemicals that are used in agriculture to protect crops from pests, diseases, and weeds, as well as to enhance crop yields. The use of agrochemicals has played a significant role in modern agriculture, enabling farmers to produce more food with less land and labour. However, the widespread use of agrochemicals has also raised concerns about their impact on human health and the environment.