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Purpose – This chapter gives an overview of methods for defining and analysing crash severity.

Methodology – Commonly used methods for defining crash severity are surveyed and reviewed. Factors commonly found to be associated with crash severity are discussed. Approaches for formulating and estimating models for predicting crash severity are presented and critiqued. Two examples of crash severity modelling exercises are presented and findings are discussed. Suggestions are offered for future research in crash severity modelling.

Findings – Crash severity is usually defined according to the outcomes for the persons involved. The definition of severity levels used by law enforcement or crash investigation professionals is less detailed and consistent than what is used by medical professionals. Defining crash severity by vehicle damage can be more consistent, as vehicle response to crash forces is more consistent than that of humans. Factors associated with crash severity fall into three categories – human, vehicle/equipment and environmental/road – and can apply before, during or after the crash event. Crash severity can be modelled using ordered, nominal or several different types of mixed models designed to overcome limitations of the ordered and nominal approaches. Two mixed modelling examples demonstrate better prediction accuracy than ordered or nominal modelling.

Research Implications – Linkage of crash, roadway and healthcare data sets could create a more accurate picture of crash severity. Emerging statistical analysis methods could address remaining limitations of the current best methods for crash severity modelling.

Practical Implications – Medical definitions of injury severity require observation by trained medical professionals and access to private medical records, limiting their use in routine crash data collection. Crash severity is more sensitive to human and vehicle factors than environmental or road factors. Unfortunately, human and vehicle factor data are generally not available for aggregate forecasting.

Change agents are individuals who can successfully transform aspects of how organisations operate. In education, teachers as change agents are increasingly seen as vital to the successful operation of schools and self-improving school systems. To date, however, there has been no systematic investigation of the nature and role of teacher change agents. To address this knowledge gap, we undertook a systematic review into five key areas regarding teachers as change agents. After reviewing 70 outputs we found that current literature predominantly positions teacher change agents as the deliverers of top-down change, with the possibility of bottom-up educational reform currently neglected.

This paper aims to review comprehensively the different voltage-boosting techniques and classifies according to their voltage gain, stress on the semiconductor devices, count of the total components and their prominent features. Hence, the focus is on non-isolated step-up converters. The converters categorized are analyzed according to their category with graphical representation.

Many converters have been reported in recent years in the literature to meet our power requirements from mill watts to megawatts. Fast growth in the generation of renewable energy in the past few years has promoted the selection of suitable converters that directly impact the behaviour of renewable energy systems. Step-up converters are a fast-emerging switching power converter in various power supply units. Researchers are more attracted to the derivation of novel topology with a high voltage gain, low voltage and current stress, high efficiency, low cost, etc.

A comparative study is done on critical metrics such as voltage gain, switch voltage stress and component count. Besides, the converters are also summarized based on their advantages and disadvantages. Furthermore, the areas that need to be explored in this field are identified and presented.

Types of analysis usually performed in dc converter and their needs with the areas need to be focused are not yet completely reviewed in most of the articles. This paper gives an eyesight on these topics. This paper will guide the researchers to derive and suggest a suitable topology for the chosen application. Moreover, it can be used as a handbook for studying the various topologies with their shortfalls, which will provide a way for researchers to focus.

The purpose of this paper is to categorize industrial clusters, and then compare three industrial clusters of three countries from the perspectives of hard environment, soft environment, factors from supply and demand sides, and the network mechanism.

Data were collected through interview with cluster coordinators. Qualitative case studies were conducted.

The center of excellence behaves well in nearly all aspects, while the spatially narrowly distributed specific center of innovation mainly exploits benefits from its concentrated sector. For the Chinese comprehensive technology incubator, relatively limited geographical space and broad sectorial distribution endow it with unclear strengths, implying the inadequacy of interconnectedness and industry relatedness mentioned by Porter.

Data were collected mainly from cluster coordinators, implying further data collecting and more comprehensive analysis.

It only makes sense to compare industrial clusters that are comparable with each other. Elements must be matched to facilitate the network interactions, and hence the innovation performance of clusters.

This paper contributes to the theoretical basis through it analyzing and clarifying the scales to measure industrial clusters, and answers the question: what is the situation of industrial clusters behaving in several aspects including hard environment, soft environment, supply, demand, network interactions and innovation performance?

This study aims to investigate the impact of the transformational leadership style on the behaviour of restaurant employees. Also, it was aimed to investigate the effect of transformational leadership on trust and the effect of trust on altruistic intention and organizational commitment.

The study integrates insights from transformational leadership to provide a fresh perspective to advance comparative organizational behaviour research. To test the hypotheses, the authors conduct a multiple analysis with observations from Turkey getting staff in culinary department with a quantitative survey.

This study equips different professional entities in the food and beverage industry with useful, contextualized links between transformational leadership. According to results, the perspective of transformational leadership style affects the concepts of trust, altruistic value and organizational commitment positively. Charisma, moral modelling and individualized consideration had a significant effect on trust. Also, trust has a significant effect on altruistic intention and organizational commitment.

The present study incorporated confidence as a mediating variable; however, it is recommended that alternative scales be used in subsequent research endeavours. Future research endeavours may incorporate theoretical frameworks such as theory of planned behaviour or stimulus-organism-response.

Transformational leadership style is a good acquisition for restaurant employees. There is a healthier and safer job sharing in these restaurants. This can be interpreted as a more satisfied customer. A good leader has a great contribution to the future and sustainability of the business.

This research created a new model and examined employees’ views on the company and its management. As a result of the analysis, it was determined that charisma, moral modelling and individualized consideration had a significant effect on trust.

This assists in learning better service quality developing and business practices to augment culinary staff, thereby maximizing their valuable contributions to tourism growth. This research created a new model and examined employees’ views on the company and its management.

The screw extruder is applied in cement-three-dimensional (3D) printing. The cement paste flow in 3D printing is the typical Herschel–Bulkley fluid. To understand the flow in the channel, the improved lattice Boltzmann method (LBM) is proposed.

For Herschel–Bulkley flow, an improved LBM is presented to avoid the poor stability and accuracy. The non-Newtonian effect is regard as a special forcing term. The Poiseuille flow is taken to discuss the detailed process of the method. With the method, the analytical solution and numerical solution are obtained and compared. Then, the effect of the initial yield stress on the numerical solution is both explored by the shear-thickening fluid and the shear-thinning fluid. Moreover, the variations of the relative errors under different lattice nodes and different power-law indexes are analyzed. Finally, the method is applied into the simulation of the flow in the extruder of cement-3D printing.

The results show that the improved method is effective for Herschel–Bulkley fluids, which can simulate the flow in the extruder stably and accurately.

The simulation can contribute to understand the cement paste flow in the screw extruder, which helps to optimize the structure of the extruder in the following periods.

The improve method provide a new way to analyze the flow in the extruder of cement-3D printing. Also, in the past research, LBM for Herschel–Bulkley fluid is ignored, whereas the study can provide the reference for the numerical simulation.

The purpose of this paper is to present the current state research of cyber-physical system (CPS) and its application in libraries. CPS is a kind of large-scale and networked system that consists of physical and cyber elements and is currently of interest in academia, industry and government. In this survey, the definitions, theoretical foundation and basic applications of CPS are systematically reviewed. In addition, the development of library and current research of CPS application in library management are presented. The vision and challenge of smart library are also discussed.

By retrieving the main scholarly databases, the literature of CPS and its application in libraries were examined.

This study shows that a lot of CPS technology applications are still in initial stage, and explores CPS potential impacts on libraries.

The application of CPS in library management has not been paid much attention, this study provides a prospective for the application of CPS in libraries.

COVID-19 pandemic is affecting the well-being and the psychological resilience of different populations, particularly in the addiction field. This study aims to assess anxiety and its severity among patients and staff from different types of addiction services in Israel during this emergency.

The study was conducted during the period from March–July 2020. Participants included patients and staff (N = 282) from three different types of addiction services, were administered the State-Trait Anxiety Inventory, the multi-dimensional scale of perceived social support and demographic variables. In addition, a logistic regression model was applied to identify predictors of state anxiety by using statistical package for the social sciences software.

The results show that therapeutic communities clients reported more social support compared to other subjects. State anxiety has a positive strong correlation with trait anxiety both among patients and staff, and it was found as a crucial predictor of state anxiety in the regression equation. There is no statistically significant correlation between state anxiety and social support, gender or education among clients and staff as one. The state anxiety remains relatively stable and characterizes most people, staff and patients, men and women, medical staff members and other professionals.

The current study has some contributions to the addiction field by understanding the psychological distress of a vulnerable population: substance users in treatment settings. The study population relied on convenient samples and future studies should be planned using a cross-sectional design and should take into account substance use measures. The findings are reinforcing the assumption that state anxiety was likely to increase during the coronavirus pandemic.

Adequate services should be planned to avoid relapse or mental deterioration of people who use drugs during health emergencies.

The research points out the unique and real difficulties of SUD clients, as well as the complexity and risks in their staff members’ works. The authors also saw that staff members need attention and maintenance; they are in the front line.