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The aim of the study is to determine the ethical concept of the companies’ statements and correlations with each other. Therefore, content analysis with quantitative methods were applied to the formal and written documents of 192 companies. In addition, corporate characteristics were determined. Consequently, statements were determined in 36 different subject areas. Among these, “high quality production” is the most frequently mentioned subject, while “supplier satisfaction” and “union relations” are the least. Also, “human resources” is the most, while “environmental issues” are the least examined subjects in the context of business functions. Companies’ ethical statements are affected by their year of establishment, the number of personnel, market values and ISO certificates.

The aim of this study is to understand the level of discrimination against academic staff in a Turkish and an Azerbaijani university. This research is the last stage of a four‐stage study.

In the first part of the study, the areas of discrimination in universities were determined using approaches related to general discrimination mentioned in the literature. In the second part, a survey was developed to measure the areas of discrimination determined by ethnographic research. In the course of the third part of the study, the discrimination level directed at academic staff in higher education in Turkey was determined. In this last part of the research, the discrimination level in Azerbaijan is analyzed and compared with the results gathered in Turkey. In order to increase the rate of reply to the survey questions, a web page was included in the Baskent University web site (see www.baskent.edu.tr/ ∼ anket) which targeted people were asked to reply to. A total of 220 instructors – 98 of whom were Turkish and 122 Azerbaijani – replied to the survey.

For each factor, the averages of academic staff were obtained, the difference between averages was determined, and the significance of the differences between averages was tested. Although the results show that Azerbaijani instructors face more discrimination, the average response of Turkish instructors is not low and should not be ignored.

The basic problems that instructors come across occur because of a lack of professional management principles and the classical characteristics of the organizational structure.

Despite legal and administrative arrangements and increase in the sensitiveness for human rights, discriminative applications are important problems in organizations, because different applications and unfair behaviors for workers lead to negative consequences for the workers and the organization. The main discrimination areas that are stated in the literature are race, language, religion, sex, ideology and physical insufficiency etc., but these subjects would differ according to the region and sector. The aim of this study is to determine the discrimination areas in higher education Institutions in Turkey and develop a scale for measuring the level of discrimination in those areas. Discrimination areas are determined by an ethnographic study in the research. Within this context, factor analysis was applied to the related questions by Varimax approach and a reliable and valid scale was obtained.

The purpose of this paper is to examine an empirical model of internal marketing (IM) and internal service quality (ISQ) in tourism restaurants operating in Jordan.

A structured and self‐administered survey was employed targeting managers and employees of tourism restaurants operating in Jordan. A sample of 334 of tourism restaurants managers and employees were involved in the survey. A series of exploratory and confirmatory factor analyses were used to assess the research constructs dimensions, unidimensionality, validity and composite reliability. Structural path model analysis was also used to test the hypothesised interrelationships of the research model.

The empirical findings indicate that IM consists of six dimensions: staff recruitment, staff training, internal communications, staff motivation, job security and staff retention. Staff recruitment, staff training, and internal communications positively and significantly affected staff motivation. Staff recruitment and internal communications positively and significantly affected ISQ. Staff motivation positively and significantly affected job security, and job security positively and significantly affected staff retention. Finally, staff retention has positively and significantly affected ISQ. Staff recruitment exerted the strongest effect on both staff motivation and ISQ.

Theoretically, the authors examined only six components of IM that lead to ISQ; meanwhile other components could affect ISQ. There could also be other factors that affect the practice and components of IM and ISQ. This research has also examined the effect of IM and ISQ only. The potential effect of ISQ on business performance needs to be examined.

Tourism restaurants managers should have a holistic approach for IM and ISQ. Three dimensions of ISQ – reliability, assurance and empathy – loaded on one factor named “interaction quality”. This finding has important implications since it reveals that “internal customers” (employees) have “working needs” that should be met in order to meet and satisfy external customers’ needs. Managers and executives can benefit from the research findings while designing their IM and ISQ strategies to achieve long‐term organisational objectives.

This is the first research effort devoted to examining the interrelationships of IM and ISQ in tourism restaurants. Executives and managers can benefit from the research findings while designing their IM and ISQ strategies to achieve long‐term organisational objectives. International tourism organisations planning to expand their operations Jordan's tourism industry have now valuable empirical evidence regarding two important concepts in this industry – IM and ISQ.

Recently, the convolutional neural network (ConvNet) has a wide application in the classification of motor imagery EEG signals. However, the low signal-to-noise electroencephalogram (EEG) signals are collected under the interference of noises. However, the conventional ConvNet model cannot directly solve this problem. This study aims to discuss the aforementioned issues.

To solve this problem, this paper adopted a novel residual shrinkage block (RSB) to construct the ConvNet model (RSBConvNet). During the feature extraction from EEG signals, the proposed RSBConvNet prevented the noise component in EEG signals, and improved the classification accuracy of motor imagery. In the construction of RSBConvNet, the author applied the soft thresholding strategy to prevent the non-related motor imagery features in EEG signals. The soft thresholding was inserted into the residual block (RB), and the suitable threshold for the current EEG signals distribution can be learned by minimizing the loss function. Therefore, during the feature extraction of motor imagery, the proposed RSBConvNet de-noised the EEG signals and improved the discriminative of classification features.

Comparative experiments and ablation studies were done on two public benchmark datasets. Compared with conventional ConvNet models, the proposed RSBConvNet model has obvious improvements in motor imagery classification accuracy and Kappa coefficient. Ablation studies have also shown the de-noised abilities of the RSBConvNet model. Moreover, different parameters and computational methods of the RSBConvNet model have been tested on the classification of motor imagery.

Based on the experimental results, the RSBConvNet constructed in this paper has an excellent recognition accuracy of MI-BCI, which can be used for further applications for the online MI-BCI.

Nowadays, the most important challenge in mechanical engineering, power engineering and electronics is a development of effective cooling systems for heat-generating units. Taking into account this challenge, this study aims to deal with computational investigation of thermogravitational energy transport of pseudoplastic nanoliquid in an electronic chamber with a periodic thermally producing unit placed on the bottom heat-conducting wall of finite thickness under an influence of isothermal cooling from vertical side walls.

The control equations formulated using the Boussinesq approach, Ostwald–de Waele power law and single-phase nanofluid model with experimentally based correlations of Guo et al. for nanofluid dynamic viscosity and Jang and Choi for nanofluid thermal conductivity have been worked out by the in-house computational procedure using the finite difference technique. The impact of the Rayleigh number, nanoadditives concentration, frequency of the periodic heat generation from the local element and thickness of the bottom solid substrate on nanoliquid circulation and energy transport has been studied.

It has been found that a raise of the nanoadditives concentration intensifies the cooling of the heat-generating element, while a growth of the heat-generation frequency allows reducing the amplitude of the heater temperature.

Mathematical modeling of a pseudoplastic nanomaterial thermogravitational energy transport in an electronic cabinet with a periodic thermally generating unit, a heat-conducting substrate and isothermal cooling vertical surfaces to identify the possibility of intensifying heat removal from a heated surface.