To improve the ability of the rice husk to purify colored wastewater, effluent from the alkaline scouring of cotton yarn was used immediately after the scouring (without cooling and additionally added chemicals) in order to remove the non-cellulosic silicon-lignin shield from the rice husk’s surface. This rice husk, with 93.8 mg/g adsorption capacity, behaves similarly as the rice husk treated with an optimized alkaline scouring recipe consisting of 20 g/L NaOH, 2 mL/L Cotoblanc HTD-N and 1 mL/L Kemonecer NI at 70 °C for 30 min with an adsorption capacity of 88.9 mg/g of direct Congo red dye. Treating one form of waste (rice husk) with another (effluent from the alkaline scouring of cellulosic plant fibers), in an effort to produce a material able to purify colored effluent, is an elegant environment-friendly concept based on the circular economy strategy. This will result in a closed-loop energy-efficient process of the pre-treatment of cotton (alkaline scouring), modification of rice husk using effluent from the alkaline scouring, dyeing cotton fabrics and cleaning its colored effluents with modified rice husk without adding chemicals and energy for heating.

Both epidemiological and experimental studies have demonstrated the crucial connection between air pollution exposure and skin disorders. The exact mechanisms by which air pollutants mediate skin damage remain largely unknown. Therefore, it is very necessary to investigate the mechanism of air pollution‐induced skin damage and explore some potential protective and therapeutic methods. In this review, we focus on the qualitative and quantitative skin exposure assessment methodologies ‐ a relatively new field of interdisciplinary research.

Multi-criteria decision making is widely used in mining to solve a variety of problems, as well as to support the mine planning and design process. The choice of the mining method of excavation for underground exploitation is a very complex and responsible matter, and support in the application of multi-criteria decision-making methods are of great importance of making the final decision. This paper will present the scientific methodology for the mining method selection by the application of VIKOR method, which gives the results of compromise alternatives.

The total operating costs of each mine largely depend on the method of mining. Therefore, the appropriate choice of the method of mining excavation is very important and great attention is paid to this issue. There are several procedures for the selection of the mining method, among which the most important and most commonly used numerical method is the UBC methodology for the selection of the mining method. According to this methodology, the choice of the method of mining excavation is based on the mining-geological parameters of the ore and adjacent rocks. In this paper, the UBC methodology for the selection of the mining excavation method for a specific case will be applied. According to this methodology, it was obtained that Cut and Fill method is best ranked for specific conditions and the most appropriate way of mining.

Ore recovery and ore dilution have an important role for efficient operation of a mine. With each increase in percentage of ore dilution and reduced ore recovery there is negative impact on the economic value of the ore reserves. These parameters are mainly controlled with quality mining project and in situ analysis. The primary goal of this science paper is to present the methodology for optimization of coefficient for ore recovery and ore dilution in sublevel caving mining method. The optimization will be carried out through economic parameters, ie by calculating the net present value (NPV).

When companies make strategic decisions, responsible persons must take into account as many influential parameters as possible so that the solution to the given problem is the most optimal, that is, they make the most appropriate decision. Multi-criteria decision-making (MCDM) can find a very large application for solving such very complex and important issues, where it is of particular importance that the company makes the most appropriate decision. Making the optimal decision for a given problem directly affects the financial performance of a given company. In this paper, the VIKOR method will be applied, which until now has not been used to solve problems related to the choice of warehouse location, but is very often and very successfully used to solve various complex problems when applying multi-criteria decision making (MCDM). The purpose of this paper is to show that the VIKOR method can be successfully applied to select the optimal warehouse location for a company that has subsidiaries in multiple locations.