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The purpose of this paper is to show these effects in an abstracted micro gap test bench. Because of stronger emission laws, the ambition to raise the rail pressure in common-rail systems from the current 2500 bar to 3000 bar is a given. The pressure increase will allow fine atomization of fuel and therefore more efficient combustion. But within the technical system of the high-pressure pump, stronger thermal stresses of the piston–cylinder contact are expected. A pressure drop from such a high level causes high temperature gradients due to energy dissipation.

For a detailed examination, the critical piston–cylinder contact has been investigated in an abstracted test bench with a flat parallel gap and an equivalent thermo-elastohydrodynamic simulation model.

The simulation results show good accordance to the measurements of pressures, temperatures and leakages for pressures up to 3000 bar. Comparison with elastohydrodynamic lubrication results outlines the need to consider temperature and pressure effects viscosity and solid deformation for the simulation and design of tribological contacts at high pressures.

This paper describes a simulation method with high accuracy to investigate tribological contacts considering temperature effects on solid structures and the fluid film. The thermo-elastohydrodynamic lubrication simulation method is valid not only for piston–cylinder contacts in high-pressure pumps but also for journal bearings in combustion engines.

This paper aims to determine the knowledge and attitudes of the physicians regarding human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS), to emphasize that these patients exist and they will exist in the future and to raise awareness so as to prevent that their rights to treatment are revoked.

The survey was conducted via a link sent through an online system. Random physicians from 81 cities of the country were invited to the survey. The survey has 41 questions regarding knowledge and attitudes in total, including epidemiological information such as age, gender and title.

A total of 3,107 physicians has voluntarily participated in the study. In total, 2,195 (70.7%) are internal physicians and 912 (29.3%) are surgical physicians among the participant physicians. In total, 1,452 (46.7%) of the participants are specialist physicians, 608 (19.6%) of the participants are practising physician and the rest of it is physician assistants, academicians and dentists, respectively.

In this study, it has been found out that the physicians have a lack of knowledge on HIV/AIDS and they adopt a discriminatory attitude towards HIV-positive persons. HIV-positive patients who are exposed to discrimination and scared of being uncovered refrain from applying to hospitals for treatment, which puts public health into jeopardy due to the high viral load and these patients are faced with difficulties in coping with both medical and emotional load of the disease.

This study aims to explore a novel framework for housing price bubbles in the Turkish economy during the pandemic. It examines the probability of housing bubble formation relative to the pre-pandemic period and identifies possible determinants of housing bubbles in the Turkish economy.

In this study, a two-stage novel estimation method is applied. In the first stage, bubble periods are identified through the right-tailed supremum augmented Dickey–Fuller test. In the second stage, the determinants of these bubbles are identified, and the housing bubble determinants during the COVID-19 pandemic are compared to the pre-pandemic period.

The findings indicate that there is an asset price bubble in the housing market during the pandemic period. Furthermore, mortgage credit expansion, mortgage credit rates and the depreciation of the Turkish Lira against the USD could increase housing bubble formation. However, housing sector sales to foreign investors do not contribute to housing bubble formation during the pandemic in the Turkish housing market.

To the best of the author’s knowledge, this is the first study to address the relative determinants of housing bubbles in an emerging market context during the pandemic.

In today's globalising conditions, tourism is marketed as a combined product because the demand for tourism increases as the product differs. It is very difficult for tourism destinations, which emerge as a result of the combination of attractiveness, accessibility, tourism businesses, activity and image elements, to survive because tourism destination stakeholders have different goals and objectives. Therefore, there is a need for an effective destination management in which management functions (planning, organising, coordination, commanding (leading) and control) will be employed. Together with the destination management, stakeholders with different goals and objectives are expected to operate in line with a common goal. The clustering of tourism businesses, one of the stakeholders of the tourism destination, plays a very important role in the emergence of destination management. In addition, this situation causes businesses to act not only in line with their own interests but also in the interests of the destination. While avoiding activities that would endanger the existence of the destination with the unions they establish, they cause local administrations and fund managers to act in line with the infrastructure, superstructure and development opportunities needed. In addition to this, while ensuring the use and protection of social capital in that region, it also enables the development of intellectual capital. On the other hand, it causes the opening of new main and auxiliary enterprises and plays an active role in increasing the welfare level of the region. Therefore, clustering is very important in successful destination management.

This paper aims to study the effect of short-term firm-level exposure on managerial change during the COVID-19 pandemic in the Chinese economy. Such a link is not explored in the existing COVID-19 and resource-based theory (RBT) literature.

The logit regression model is utilized to examine the effect of short-term exposure on the probability of managerial change in the Chinese economy. Logit models based on coarsened exact matching (CEM) are also used in the robustness checks part of the study. The results are robust to different specifications.

The obtained findings show that short-term exposure has a significantly positive effect on the probability of managerial change during the pandemic.

Under the RBT approach, this study sheds new light on the relationship between short-term financial exposure and managerial change under uncertainty during the pandemic.

C-Suite executives need to be prepared for short-term sudden shocks. According to the findings of the study, the relationship between short-term sudden shocks and short-term financial exposure is a factor that C-suite executives should pay attention to.

Short-term sudden shocks can support managerial change, pushing society into uncertainty and negatively affecting the private sector. In this context, it has a structure that can amplify uncertainty.

In the existing COVID-19 literature, the effect of short-term exposure on the probability of managerial change is under researched, especially in the emerging markets-based RBT and COVID-19 literature. The present study offers an insight into the link between short-term exposure and the probability of managerial change during the pandemic.

The purpose of this paper is to investigate the impact of changes in credit stock on real and financial indicators in Turkey with a focus on conditional and time-varying dynamics.

In addition to lag-augmented vector autoregression (LA-VAR) based time-varying Granger causality tests, threshold models and a research setting that identifies high/low states of credit growth based on 24-month moving averages are used to explore regime-dependent behavior. For investigating the asymmetric dynamics, the authors use a methodology that identifies good/bad news in credit growth based on 24-month moving averages and standard deviations.

Results strongly suggest that the impact of changes in credit stock induces conditional responses. Moreover, we find evidence for asymmetric responses. In the case of Turkey, efforts to spur growth through credit produce a strong negative byproduct, a depreciation in the exchange rate. The authors also find that changes in credit stock have become more relevant for uncertainties in inflation and exchange rate expectations, particularly in the era after mid-2018 in which credit growth volatility has increased noticeably.

This study provides a comprehensive analysis of time-varying and conditional responses to a change in credit stock in a major emerging economy. Using a moving threshold based only on the available information in the analysis of state-dependency represents a new approach.

The purpose of this paper is to explore the validity of extended technology acceptance model (TAM) in explaining pre-service teachers’ Edmodo acceptance and the variation of variables related to TAM among pre-service teachers having different cognitive styles.

Structural equation modeling approach was used to analyze an extended TAM that represents the relationship between the eight constructs and cognitive style. Group Embedded Figures Test and technology acceptance measure were used as data collection tools. The study was conducted with 129 pre-service teachers.

The results indicate that perceived ease of use (PEU) influences behavioral intention (BI) to use Edmodo indirectly through attitude toward Edmodo use and perceived usefulness (PU). Technological complexity and facilitating conditions influence BI to use indirectly through PU and PEU, respectively. Thus, the extended TAM is a parsimonious model explaining 75, 72, and 82 percent of the endogenous variable (BI) for the whole sample, for the field dependent sample, and for the field independent sample, respectively.

This paper addresses to determine the BI of pre-service teachers regarding Edmodo, which is an innovative tool, based on cognitive styles.

Examines the fourteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

This paper aims to investigate the impact of organizational identification on employees’ usage of newly introduced Accounting Information Systems (AIS), with a particular focus on the mediating influence of attitude and the moderating roles of gender and collectivism. Drawing on social identity theory, the research framework was developed.

Data were collected using a survey method from 500 service sector employees adapting to a newly implemented AIS. Structural equation modeling (SEM) in Mplus was used for the model testing.

The results indicate that organizational identification does not directly influence employees’ AIS usage. Nevertheless, the study findings demonstrate that it exerts an indirect influence on employees’ AIS usage through the mediation of their attitude toward the using of new AIS. The moderation of gender and collectivism emerged as crucial, showing the strongest effect of organizational identification on AIS usage among highly collectivist female employees, followed by highly collectivist male employees, and then less collectivist female employees. This relationship is weakest in less collectivist male employees.

To the best of the authors’ knowledge, this investigation stands as the first to integrate social identity theory with cultural values and the gender of employees, offering insights into the employees’ AIS usage.