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By using Inductively Coupled Plasma‐Mass Spectrometry (ICP‐MS) multi‐element analysis was performed on six toxic and one non‐toxic cyanobacteria and waste water. A method was developed using a single standard together with one SRM allowing multi‐element screening. This technique simplifies the calibration procedure and allows exploration of unforeseen elements in the mass spectrum in a couple of minutes. In this investigation, reports the concentration of Mn, Cu, Zn, Rb, Sr, Cd, Ba, La, Pb and U in the cyanobacteria. High concentration of Mn was observed in Microcystis viridis. In the mass spectrum of the waste water from the cleaning plant in Starogard, Poland, it was observed that the concentration of Pb in water was higher after seven days than 120 days.

The purpose of this paper is to offer a comprehensive overview of current research on customer behavior in the business-to-business (B2B) context and propose a research agenda for future studies. Despite being a relatively recent area of interest for academics and practitioners, a literature review that synthesizes existing knowledge into coherent topics and outlines a research agenda for future research is still lacking.

Drawing on a systematic literature review of 219 papers and using a text-mining approach based on the Latent Dirichlet Allocation algorithm, this paper enhances the existing knowledge of B2B customer behavior and provides a descriptive analysis of the literature.

From this review, ten major research topics are found and analyzed. These topics were analyzed through the lens of the Theory, Context, Characteristics and Method framework, providing a summary of key findings from prior studies. Additionally, an integrative framework was developed, offering insights into future research directions.

This study presents a novel contribution to the field of B2B by providing a systematic review of the topic of customer behavior, filling a gap in the literature and offering a valuable resource for scholars and managers seeking to advance the field.

Internal organisational aspects of service delivery from the employee's perspective have received some attention in the literature. However, there is a need for more detailed empirical research to explore the possible impacts of specific internal service factors (ISFs) on service quality. This paper seeks to consider the overall influence of customer‐employee interactions, and to discuss and test empirically the relative influence of five ISFs that interface with internal marketing strategies.

Empirical data were collected from a sample (n=202) of supermarket employees across a large metropolitan city. The data analysis used bivariate correlations, stepwise regression, and structural equation modelling.

The main research findings, from the employee perceptions of service quality, suggest that there are three main predictor variables, namely, service orientation, service role flexibility, and non‐standardised scripted behaviour. The most important internal service quality predictor variable is employees' service orientation attitude, followed by non‐standardised scripted service behaviour and third by the organisational policy to adopt and change (flexible) service roles.

The research needs to be expanded by investigating simultaneously the viewpoints about service quality by managers and actual consumers.

Retail marketing managers need to be mindful that ISFs have the potential to indirectly influence consumer perceptions through employee behaviours and perceptions of customers' needs. The five ISFs identified in this research can serve as a basis for differentiating a service brand.

The paper highlights the importance of five internal service success factors that influence service quality.

The purpose of this paper is to calculate the Hugoniot relations of polyurea; also to investigate the atomic-scale energy change, the related chain conformation evolution and the hydrogen bond dissociation of polyurea under high-speed shock.

The atomic-scale simulations are achieved by molecular dynamics (MD). Both non-equilibrium MD and multi-scale shock technique are used to simulate the high-speed shock. The energy dissipation is theoretically derived by the thermodynamic and the Hugoniot relations. The distributions of bond length, angle and dihedral angle are used to characterize the chain conformation evolution. The hydrogen bonds are determined by a geometrical criterion.

The Hugoniot relations calculated are in good agreement with the experimental data. It is found that under the same impact pressure, polyurea with lower hard segment content has higher energy dissipation during the shock-release process. The primary energy dissipation way is the heat dissipation caused by the increase of kinetic energy. Unlike tensile simulation, the molecular potential increment is mainly divided into the increments of the bond energy, angle energy and dihedral angle energy under shock loading and is mostly stored in the soft segments. The hydrogen bond potential increment only accounts for about 1% of the internal energy increment under high-speed shock.

The simulation results are meaningful for understanding and evaluating the energy dissipation mechanism of polyurea under shock loading, and could provide a reference for material design.